From 681612f50c186f78cfaa7195e7ea8e699c91512f Mon Sep 17 00:00:00 2001
From: Jamie Rodriguez <65564846+fivetran-jamie@users.noreply.github.com>
Date: Tue, 19 Dec 2023 12:12:45 -0800
Subject: [PATCH 1/5] send to buildskite

---
 .buildkite/scripts/run_models.sh      | 2 +-
 models/qualtrics__daily_breakdown.sql | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.buildkite/scripts/run_models.sh b/.buildkite/scripts/run_models.sh
index 90214c9..a236940 100644
--- a/.buildkite/scripts/run_models.sh
+++ b/.buildkite/scripts/run_models.sh
@@ -16,7 +16,7 @@ db=$1
 echo `pwd`
 cd integration_tests
 dbt deps
-dbt seed --target "$db" --full-refresh
+dbt seed --target "$db" --full-refresh --exclude "distribution_contact"
 dbt run --target "$db" --full-refresh
 dbt test --target "$db"
 dbt run --vars '{qualtrics__using_core_contacts: true, qualtrics__using_core_mailing_lists: true}' --target "$db"
diff --git a/models/qualtrics__daily_breakdown.sql b/models/qualtrics__daily_breakdown.sql
index 4fe0098..cd4e90c 100644
--- a/models/qualtrics__daily_breakdown.sql
+++ b/models/qualtrics__daily_breakdown.sql
@@ -26,7 +26,7 @@ spine as (
 
     {% if execute %}
     {% set first_date_query %}
-        select  min( sent_at ) as min_date from {{ var('distribution_contact') }}
+        select  coalesce( min( sent_at ), '2016-01-01') as min_date from {{ var('distribution_contact') }}
     {% endset %}
     {% set first_date = run_query(first_date_query).columns[0][0]|string %}
     

From 31b1d8929712b84051cca69ba1f724fbdbdcd314 Mon Sep 17 00:00:00 2001
From: Jamie Rodriguez <65564846+fivetran-jamie@users.noreply.github.com>
Date: Tue, 19 Dec 2023 12:43:59 -0800
Subject: [PATCH 2/5] changes

---
 .buildkite/scripts/run_models.sh  | 2 +-
 CHANGELOG.md                      | 6 ++++++
 dbt_project.yml                   | 2 +-
 integration_tests/dbt_project.yml | 2 +-
 4 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/.buildkite/scripts/run_models.sh b/.buildkite/scripts/run_models.sh
index a236940..90214c9 100644
--- a/.buildkite/scripts/run_models.sh
+++ b/.buildkite/scripts/run_models.sh
@@ -16,7 +16,7 @@ db=$1
 echo `pwd`
 cd integration_tests
 dbt deps
-dbt seed --target "$db" --full-refresh --exclude "distribution_contact"
+dbt seed --target "$db" --full-refresh
 dbt run --target "$db" --full-refresh
 dbt test --target "$db"
 dbt run --vars '{qualtrics__using_core_contacts: true, qualtrics__using_core_mailing_lists: true}' --target "$db"
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 3132d4a..0f4073c 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,3 +1,9 @@
+# dbt_qualtrics v0.1.1
+
+## Bug Fix
+- Ensures that date spine in `qualtrics__daily_breakdown` always has a non-null start date, even if you do not have the `distribution_contact` source table, whose `min(created_at)` we base the date spine off of. 
+  - If no `distribution_contact` table is present in your Qualtrics connector(s), the minimum date will be set to `2016-01-01`.
+
 # dbt_qualtrics v0.1.0
 This is the initial release of the Qualtrics dbt package!
 
diff --git a/dbt_project.yml b/dbt_project.yml
index 478f7eb..11f8b3c 100644
--- a/dbt_project.yml
+++ b/dbt_project.yml
@@ -1,5 +1,5 @@
 name: 'qualtrics'
-version: '0.1.0'
+version: '0.1.1'
 config-version: 2
 require-dbt-version: [">=1.3.0", "<2.0.0"]
 
diff --git a/integration_tests/dbt_project.yml b/integration_tests/dbt_project.yml
index 5fc5042..b48c5f8 100644
--- a/integration_tests/dbt_project.yml
+++ b/integration_tests/dbt_project.yml
@@ -1,5 +1,5 @@
 name: 'qualtrics_integration_tests'
-version: '0.1.0'
+version: '0.1.1'
 profile: 'integration_tests'
 config-version: 2
 

From c38b36f5f733fc14eae30dcb18e43381a912cbbd Mon Sep 17 00:00:00 2001
From: Jamie Rodriguez <65564846+fivetran-jamie@users.noreply.github.com>
Date: Tue, 19 Dec 2023 12:59:19 -0800
Subject: [PATCH 3/5] add other stuff

---
 .../maintainer_pull_request_template.md       | 45 +++++--------------
 .github/workflows/auto-release.yml            | 13 ++++++
 .gitignore                                    |  5 ++-
 CHANGELOG.md                                  |  6 +++
 docs/catalog.json                             |  2 +-
 docs/index.html                               | 24 +++++-----
 docs/manifest.json                            |  2 +-
 docs/run_results.json                         |  2 +-
 8 files changed, 49 insertions(+), 50 deletions(-)
 create mode 100644 .github/workflows/auto-release.yml

diff --git a/.github/PULL_REQUEST_TEMPLATE/maintainer_pull_request_template.md b/.github/PULL_REQUEST_TEMPLATE/maintainer_pull_request_template.md
index 768ac3f..45317d2 100644
--- a/.github/PULL_REQUEST_TEMPLATE/maintainer_pull_request_template.md
+++ b/.github/PULL_REQUEST_TEMPLATE/maintainer_pull_request_template.md
@@ -4,48 +4,27 @@
 **This PR will result in the following new package version:**
 <!--- Please add details around your decision for breaking vs non-breaking version upgrade. If this is a breaking change, were backwards-compatible options explored? -->
 
-**Please detail what change(s) this PR introduces and any additional information that should be known during the review of this PR:**
+**Please provide the finalized CHANGELOG entry which details the relevant changes included in this PR:**
+<!--- Copy/paste the CHANGELOG for this version below. -->
 
 ## PR Checklist
 ### Basic Validation
 Please acknowledge that you have successfully performed the following commands locally:
-- [ ] dbt compile
-- [ ] dbt run –full-refresh
-- [ ] dbt run
-- [ ] dbt test
-- [ ] dbt run –vars (if applicable)
+- [ ] dbt run –full-refresh && dbt test
+- [ ] dbt run (if incremental models are present)
 
 Before marking this PR as "ready for review" the following have been applied:
-- [ ] The appropriate issue has been linked and tagged
-- [ ] You are assigned to the corresponding issue and this PR
-- [ ] BuildKite integration tests are passing
+- [ ] The appropriate issue has been linked, tagged, and properly assigned.
+- [ ] All necessary documentation and version upgrades have been applied.
+    <!--- Be sre to update the package version in the dbt_project.yml, integration_tests/dbt_project.yml, and README if necessary. -->
+- [ ] docs were regenerated (unless this PR does not include any code or yml updates).
+- [ ] BuildKite integration tests are passing.
+- [ ] Detailed validation steps have been provided below.
 
 ### Detailed Validation
-Please acknowledge that the following validation checks have been performed prior to marking this PR as "ready for review":
-- [ ] You have validated these changes and assure this PR will address the respective Issue/Feature.
-- [ ] You are reasonably confident these changes will not impact any other components of this package or any dependent packages.
-- [ ] You have provided details below around the validation steps performed to gain confidence in these changes.
+Please share any and all of your validation steps:
 <!--- Provide the steps you took to validate your changes below. -->
 
-### Standard Updates
-Please acknowledge that your PR contains the following standard updates:
-- Package versioning has been appropriately indexed in the following locations:
-    - [ ] indexed within dbt_project.yml
-    - [ ] indexed within integration_tests/dbt_project.yml
-- [ ] CHANGELOG has individual entries for each respective change in this PR
-    <!--- If there is a parallel upstream change, remember to reference the corresponding CHANGELOG as an individual entry.  -->
-- [ ] README updates have been applied (if applicable)
-    <!--- Remember to check the following README locations for common updates. →
-        <!--- Suggested install range (needed for breaking changes) →
-        <!--- Dependency matrix is appropriately updated (if applicable) →
-        <!--- New variable documentation (if applicable) -->
-- [ ] DECISIONLOG updates have been updated (if applicable)
-- [ ] Appropriate yml documentation has been added (if applicable)
-
-### dbt Docs
-Please acknowledge that after the above were all completed the below were applied to your branch:
-- [ ] docs were regenerated (unless this PR does not include any code or yml updates)
-
 ### If you had to summarize this PR in an emoji, which would it be?
 <!--- For a complete list of markdown compatible emojis check our this git repo (https://gist.github.com/rxaviers/7360908)  --> 
-:dancer:
+💃
\ No newline at end of file
diff --git a/.github/workflows/auto-release.yml b/.github/workflows/auto-release.yml
new file mode 100644
index 0000000..8ed5853
--- /dev/null
+++ b/.github/workflows/auto-release.yml
@@ -0,0 +1,13 @@
+name: 'auto release'
+on:
+  pull_request:
+    types:
+      - closed
+    branches:
+      - main
+
+jobs:
+  call-workflow-passing-data:
+    if: github.event.pull_request.merged
+    uses: fivetran/dbt_package_automations/.github/workflows/auto-release.yml@main
+    secrets: inherit
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 2710741..28d9843 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,5 +2,6 @@
 target/
 dbt_modules/
 logs/
-
-dbt_packages/
\ No newline at end of file
+package-lock.yml
+dbt_packages/
+integration_tests/package-lock.yml
\ No newline at end of file
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 0f4073c..2de47a3 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,9 +1,15 @@
 # dbt_qualtrics v0.1.1
 
+[PR #6](https://github.com/fivetran/dbt_qualtrics/pull/6) applies the following changes:
+
 ## Bug Fix
 - Ensures that date spine in `qualtrics__daily_breakdown` always has a non-null start date, even if you do not have the `distribution_contact` source table, whose `min(created_at)` we base the date spine off of. 
   - If no `distribution_contact` table is present in your Qualtrics connector(s), the minimum date will be set to `2016-01-01`.
 
+## Under the Hood
+- Updated the pull request [templates](/.github).
+- Included auto-releaser GitHub Actions workflow to automate future releases.
+
 # dbt_qualtrics v0.1.0
 This is the initial release of the Qualtrics dbt package!
 
diff --git a/docs/catalog.json b/docs/catalog.json
index d0a27de..0dcb025 100644
--- a/docs/catalog.json
+++ b/docs/catalog.json
@@ -1 +1 @@
-{"metadata": {"dbt_schema_version": "https://schemas.getdbt.com/dbt/catalog/v1.json", "dbt_version": "1.5.3", "generated_at": "2023-07-28T17:31:00.232436Z", "invocation_id": "8af2cd23-f47f-4149-be35-6f46472a50d4", "env": {}}, "nodes": {"model.qualtrics.qualtrics__survey": {"metadata": {"type": "table", "schema": "qualtrics_integration_tests_qualtrics", "name": "qualtrics__survey", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"survey_id": {"type": "STRING", "index": 1, "name": "survey_id", "comment": null}, "survey_name": {"type": "STRING", "index": 2, "name": "survey_name", "comment": null}, "survey_status": {"type": "STRING", "index": 3, "name": "survey_status", "comment": null}, "brand_base_url": {"type": "STRING", "index": 4, "name": "brand_base_url", "comment": null}, "brand_id": {"type": "STRING", "index": 5, "name": "brand_id", "comment": null}, "bundle_short_name": {"type": "INT64", "index": 6, "name": "bundle_short_name", "comment": null}, "composition_type": {"type": "INT64", "index": 7, "name": "composition_type", "comment": null}, "auto_scoring_category": {"type": "INT64", "index": 8, "name": "auto_scoring_category", "comment": null}, "default_scoring_category": {"type": "INT64", "index": 9, "name": "default_scoring_category", "comment": null}, "division_id": {"type": "INT64", "index": 10, "name": "division_id", "comment": null}, "creator_user_id": {"type": "STRING", "index": 11, "name": "creator_user_id", "comment": null}, "owner_user_id": {"type": "STRING", "index": 12, "name": "owner_user_id", "comment": null}, "project_category": {"type": "STRING", "index": 13, "name": "project_category", "comment": null}, "project_type": {"type": "STRING", "index": 14, "name": "project_type", "comment": null}, "registry_sha": {"type": "INT64", "index": 15, "name": "registry_sha", "comment": null}, "registry_version": {"type": "INT64", "index": 16, "name": "registry_version", "comment": null}, "schema_version": {"type": "INT64", "index": 17, "name": "schema_version", "comment": null}, "scoring_summary_after_questions": {"type": "BOOL", "index": 18, "name": "scoring_summary_after_questions", "comment": null}, "scoring_summary_after_survey": {"type": "BOOL", "index": 19, "name": "scoring_summary_after_survey", "comment": null}, "scoring_summary_category": {"type": "INT64", "index": 20, "name": "scoring_summary_category", "comment": null}, "last_accessed_at": {"type": "INT64", "index": 21, "name": "last_accessed_at", "comment": null}, "last_activated_at": {"type": "STRING", "index": 22, "name": "last_activated_at", "comment": null}, "last_modified_at": {"type": "STRING", "index": 23, "name": "last_modified_at", "comment": null}, "is_deleted": {"type": "BOOL", "index": 24, "name": "is_deleted", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 25, "name": "_fivetran_synced", "comment": null}, "source_relation": {"type": "STRING", "index": 26, "name": "source_relation", "comment": null}, "version_id": {"type": "INT64", "index": 27, "name": "version_id", "comment": null}, "version_number": {"type": "INT64", "index": 28, "name": "version_number", "comment": null}, "version_description": {"type": "STRING", "index": 29, "name": "version_description", "comment": null}, "survey_version_created_at": {"type": "STRING", "index": 30, "name": "survey_version_created_at", "comment": null}, "count_published_versions": {"type": "INT64", "index": 31, "name": "count_published_versions", "comment": null}, "publisher_user_id": {"type": "STRING", "index": 32, "name": "publisher_user_id", "comment": null}, "publisher_email": {"type": "STRING", "index": 33, "name": "publisher_email", "comment": null}, "creator_email": {"type": "STRING", "index": 34, "name": "creator_email", "comment": null}, "owner_email": {"type": "STRING", "index": 35, "name": "owner_email", "comment": null}, "count_questions": {"type": "INT64", "index": 36, "name": "count_questions", "comment": null}, "avg_response_duration_in_seconds": {"type": "FLOAT64", "index": 37, "name": "avg_response_duration_in_seconds", "comment": null}, "median_response_duration_in_seconds": {"type": "FLOAT64", "index": 38, "name": "median_response_duration_in_seconds", "comment": null}, "avg_survey_progress_pct": {"type": "FLOAT64", "index": 39, "name": "avg_survey_progress_pct", "comment": null}, "median_survey_progress_pct": {"type": "FLOAT64", "index": 40, "name": "median_survey_progress_pct", "comment": null}, "count_survey_responses": {"type": "INT64", "index": 41, "name": "count_survey_responses", "comment": null}, "count_completed_survey_responses": {"type": "INT64", "index": 42, "name": "count_completed_survey_responses", "comment": null}, "count_survey_responses_30d": {"type": "INT64", "index": 43, "name": "count_survey_responses_30d", "comment": null}, "count_completed_survey_responses_30d": {"type": "INT64", "index": 44, "name": "count_completed_survey_responses_30d", "comment": null}, "count_anonymous_survey_responses": {"type": "INT64", "index": 45, "name": "count_anonymous_survey_responses", "comment": null}, "count_anonymous_completed_survey_responses": {"type": "INT64", "index": 46, "name": "count_anonymous_completed_survey_responses", "comment": null}, "count_social_media_survey_responses": {"type": "INT64", "index": 47, "name": "count_social_media_survey_responses", "comment": null}, "count_social_media_completed_survey_responses": {"type": "INT64", "index": 48, "name": "count_social_media_completed_survey_responses", "comment": null}, "count_personal_link_survey_responses": {"type": "INT64", "index": 49, "name": "count_personal_link_survey_responses", "comment": null}, "count_personal_link_completed_survey_responses": {"type": "INT64", "index": 50, "name": "count_personal_link_completed_survey_responses", "comment": null}, "count_qr_code_survey_responses": {"type": "INT64", "index": 51, "name": "count_qr_code_survey_responses", "comment": null}, "count_qr_code_completed_survey_responses": {"type": "INT64", "index": 52, "name": "count_qr_code_completed_survey_responses", "comment": null}, "count_email_survey_responses": {"type": "INT64", "index": 53, "name": "count_email_survey_responses", "comment": null}, "count_email_completed_survey_responses": {"type": "INT64", "index": 54, "name": "count_email_completed_survey_responses", "comment": null}, "count_sms_survey_responses": {"type": "INT64", "index": 55, "name": "count_sms_survey_responses", "comment": null}, "count_sms_completed_survey_responses": {"type": "INT64", "index": 56, "name": "count_sms_completed_survey_responses", "comment": null}, "count_uncategorized_survey_responses": {"type": "INT64", "index": 57, "name": "count_uncategorized_survey_responses", "comment": null}, "count_uncategorized_completed_survey_responses": {"type": "INT64", "index": 58, "name": "count_uncategorized_completed_survey_responses", "comment": null}}, "stats": {"num_rows": {"id": "num_rows", "label": "# Rows", "value": 5.0, "include": true, "description": "Approximate count of rows in this table"}, "num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 1749.0, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "model.qualtrics.qualtrics__survey"}, "model.qualtrics.qualtrics__distribution": {"metadata": {"type": "table", "schema": "qualtrics_integration_tests_qualtrics", "name": "qualtrics__distribution", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"created_at": {"type": "STRING", "index": 1, "name": "created_at", "comment": null}, "header_from_email": {"type": "STRING", "index": 2, "name": "header_from_email", "comment": null}, "header_from_name": {"type": "STRING", "index": 3, "name": "header_from_name", "comment": null}, "header_reply_to_email": {"type": "STRING", "index": 4, "name": "header_reply_to_email", "comment": null}, "header_subject": {"type": "STRING", "index": 5, "name": "header_subject", "comment": null}, "distribution_id": {"type": "STRING", "index": 6, "name": "distribution_id", "comment": null}, "message_library_id": {"type": "INT64", "index": 7, "name": "message_library_id", "comment": null}, "message_id": {"type": "INT64", "index": 8, "name": "message_id", "comment": null}, "message_text": {"type": "INT64", "index": 9, "name": "message_text", "comment": null}, "last_modified_at": {"type": "STRING", "index": 10, "name": "last_modified_at", "comment": null}, "organization_id": {"type": "STRING", "index": 11, "name": "organization_id", "comment": null}, "owner_user_id": {"type": "STRING", "index": 12, "name": "owner_user_id", "comment": null}, "parent_distribution_id": {"type": "STRING", "index": 13, "name": "parent_distribution_id", "comment": null}, "recipient_contact_id": {"type": "STRING", "index": 14, "name": "recipient_contact_id", "comment": null}, "recipient_library_id": {"type": "STRING", "index": 15, "name": "recipient_library_id", "comment": null}, "recipient_mailing_list_id": {"type": "STRING", "index": 16, "name": "recipient_mailing_list_id", "comment": null}, "recipient_sample_id": {"type": "STRING", "index": 17, "name": "recipient_sample_id", "comment": null}, "request_status": {"type": "STRING", "index": 18, "name": "request_status", "comment": null}, "request_type": {"type": "STRING", "index": 19, "name": "request_type", "comment": null}, "send_at": {"type": "STRING", "index": 20, "name": "send_at", "comment": null}, "survey_link_expires_at": {"type": "STRING", "index": 21, "name": "survey_link_expires_at", "comment": null}, "survey_link_type": {"type": "STRING", "index": 22, "name": "survey_link_type", "comment": null}, "survey_id": {"type": "STRING", "index": 23, "name": "survey_id", "comment": null}, "is_deleted": {"type": "BOOL", "index": 24, "name": "is_deleted", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 25, "name": "_fivetran_synced", "comment": null}, "source_relation": {"type": "STRING", "index": 26, "name": "source_relation", "comment": null}, "parent_distribution_header_subject": {"type": "STRING", "index": 27, "name": "parent_distribution_header_subject", "comment": null}, "recipient_mailing_list_name": {"type": "STRING", "index": 28, "name": "recipient_mailing_list_name", "comment": null}, "owner_email": {"type": "STRING", "index": 29, "name": "owner_email", "comment": null}, "owner_first_name": {"type": "STRING", "index": 30, "name": "owner_first_name", "comment": null}, "owner_last_name": {"type": "STRING", "index": 31, "name": "owner_last_name", "comment": null}, "current_count_surveys_pending": {"type": "INT64", "index": 32, "name": "current_count_surveys_pending", "comment": null}, "current_count_surveys_success": {"type": "INT64", "index": 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diff --git a/docs/index.html b/docs/index.html
index 5631ac6..ca1e6f8 100644
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  * https://jquery.com/
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this._registeredHooks[e]},e.prototype.applyViewConfigs=function(e){var t=this._treeChanges.entering.map((function(e){return e.state}));p.a.applyViewConfigs(e.transitionService.$view,this._treeChanges.to,t)},e.prototype.$from=function(){return Object(a.P)(this._treeChanges.from).state},e.prototype.$to=function(){return Object(a.P)(this._treeChanges.to).state},e.prototype.from=function(){return this.$from().self},e.prototype.to=function(){return this.$to().self},e.prototype.targetState=function(){return this._targetState},e.prototype.is=function(t){return t instanceof e?this.is({to:t.$to().name,from:t.$from().name}):!(t.to&&!Object(d.c)(this.$to(),t.to,this)||t.from&&!Object(d.c)(this.$from(),t.from,this))},e.prototype.params=function(e){return void 0===e&&(e="to"),Object.freeze(this._treeChanges[e].map(Object(l.n)("paramValues")).reduce(a.D,{}))},e.prototype.paramsChanged=function(){var e=this.params("from"),t=this.params("to"),n=[].concat(this._treeChanges.to).concat(this._treeChanges.from).map((function(e){return e.paramSchema})).reduce(b.G,[]).reduce(b.Pb,[]);return h.b.changed(n,e,t).reduce((function(e,n){return e[n.id]=t[n.id],e}),{})},e.prototype.injector=function(e,t){void 0===t&&(t="to");var n=this._treeChanges[t];return e&&(n=p.a.subPath(n,(function(t){return t.state===e||t.state.name===e}))),new m.b(n).injector()},e.prototype.getResolveTokens=function(e){return void 0===e&&(e="to"),new m.b(this._treeChanges[e]).getTokens()},e.prototype.addResolvable=function(e,t){void 0===t&&(t=""),e=Object(l.h)(g.a)(e)?e:new g.a(e);var n="string"==typeof t?t:t.name,r=this._treeChanges.to,i=Object(a.t)(r,(function(e){return e.state.name===n}));new m.b(r).addResolvables([e],i.state)},e.prototype.redirectedFrom=function(){return this._options.redirectedFrom||null},e.prototype.originalTransition=function(){var e=this.redirectedFrom();return e&&e.originalTransition()||this},e.prototype.options=function(){return this._options},e.prototype.entering=function(){return Object(a.B)(this._treeChanges.entering,Object(l.n)("state")).map(y)},e.prototype.exiting=function(){return Object(a.B)(this._treeChanges.exiting,Object(l.n)("state")).map(y).reverse()},e.prototype.retained=function(){return Object(a.B)(this._treeChanges.retained,Object(l.n)("state")).map(y)},e.prototype.views=function(e,t){void 0===e&&(e="entering");var n=this._treeChanges[e];return(n=t?n.filter(Object(l.o)("state",t)):n).map(Object(l.n)("views")).filter(a.y).reduce(a.T,[])},e.prototype.treeChanges=function(e){return e?this._treeChanges[e]:this._treeChanges},e.prototype.redirect=function(e){for(var t=1,n=this;null!=(n=n.redirectedFrom());)if(++t>20)throw new Error("Too many consecutive Transition redirects (20+)");var r={redirectedFrom:this,source:"redirect"};"url"===this.options().source&&!1!==e.options().location&&(r.location="replace");var i=Object(a.r)({},this.options(),e.options(),r);e=e.withOptions(i,!0);var o,s=this.router.transitionService.create(this._treeChanges.from,e),c=this._treeChanges.entering,u=s._treeChanges.entering;return p.a.matching(u,c,p.a.nonDynamicParams).filter(Object(l.i)((o=e.options().reloadState,function(e){return o&&e.state.includes[o.name]}))).forEach((function(e,t){e.resolvables=c[t].resolvables})),s},e.prototype._changedParams=function(){var e=this._treeChanges;if(!this._options.reload&&(!e.exiting.length&&!e.entering.length&&e.to.length===e.from.length&&!Object(a.i)(e.to,e.from).map((function(e){return e[0].state!==e[1].state})).reduce(a.g,!1))){var t=e.to.map((function(e){return e.paramSchema})),n=[e.to,e.from].map((function(e){return e.map((function(e){return e.paramValues}))})),r=n[0],i=n[1];return Object(a.i)(t,r,i).map((function(e){var t=e[0],n=e[1],r=e[2];return h.b.changed(t,n,r)})).reduce(a.T,[])}},e.prototype.dynamic=function(){var e=this._changedParams();return!!e&&e.map((function(e){return e.dynamic})).reduce(a.g,!1)},e.prototype.ignored=function(){return!!this._ignoredReason()},e.prototype._ignoredReason=function(){var e=this.router.globals.transition,t=this._options.reloadState,n=function(e,n){if(e.length!==n.length)return!1;var r=p.a.matching(e,n);return e.length===r.filter((function(e){return!t||!e.state.includes[t.name]})).length},r=this.treeChanges(),i=e&&e.treeChanges();return i&&n(i.to,r.to)&&n(i.exiting,r.exiting)?"SameAsPending":0===r.exiting.length&&0===r.entering.length&&n(r.from,r.to)?"SameAsCurrent":void 0},e.prototype.run=function(){var e=this,t=u.a.runAllHooks,n=function(t){return e._hookBuilder.buildHooksForPhase(t)},o=n(c.a.BEFORE);return u.a.invokeHooks(o,(function(){var t=e.router.globals;return t.lastStartedTransitionId=e.$id,t.transition=e,t.transitionHistory.enqueue(e),r.c.traceTransitionStart(e),i.b.$q.when(void 0)})).then((function(){var e=n(c.a.RUN);return u.a.invokeHooks(e,(function(){return i.b.$q.when(void 0)}))})).then((function(){r.c.traceSuccess(e.$to(),e),e.success=!0,e._deferred.resolve(e.to()),t(n(c.a.SUCCESS))}),(function(i){r.c.traceError(i,e),e.success=!1,e._deferred.reject(i),e._error=i,t(n(c.a.ERROR))})),this.promise},e.prototype.valid=function(){return!this.error()||void 0!==this.success},e.prototype.abort=function(){Object(s.m)(this.success)&&(this._aborted=!0)},e.prototype.error=function(){var e=this.$to();if(e.self.abstract)return v.b.invalid("Cannot transition to abstract state '"+e.name+"'");var t=e.parameters(),n=this.params(),r=t.filter((function(e){return!e.validates(n[e.id])}));if(r.length){var i=r.map((function(e){return"["+e.id+":"+Object(o.m)(n[e.id])+"]"})).join(", "),a="The following parameter values are not valid for state '"+e.name+"': "+i;return v.b.invalid(a)}return!1===this.success?this._error:void 0},e.prototype.toString=function(){var e=this.from(),t=this.to(),n=function(e){return null!==e["#"]&&void 0!==e["#"]?e:Object(a.F)(e,["#"])};return"Transition#"+this.$id+"( '"+(Object(s.i)(e)?e.name:e)+"'"+Object(o.m)(n(this._treeChanges.from.map(Object(l.n)("paramValues")).reduce(a.D,{})))+" -> "+(this.valid()?"":"(X) ")+"'"+(Object(s.i)(t)?t.name:t)+"'"+Object(o.m)(n(this.params()))+" )"},e.diToken=e,e}()},function(e,t,n){"use strict";n.d(t,"b",(function(){return l})),n.d(t,"a",(function(){return c}));var r=n(30),i=n(1),o=n(0),a=n(3),s=n(44),l=function(){function e(e){this.router=e}return e.prototype.compile=function(e){return this.router.urlMatcherFactory.compile(e)},e.prototype.create=function(e,t){var n=this,o=s.a.isState,l=s.a.isStateDeclaration,u=Object(a.l)([[i.l,function(e){return u(n.compile(e))}],[Object(a.h)(r.a),function(e){return n.fromUrlMatcher(e,t)}],[Object(a.j)(o,l),function(e){return n.fromState(e,n.router)}],[Object(a.h)(RegExp),function(e){return n.fromRegExp(e,t)}],[i.d,function(e){return new c(e,t)}]]),d=u(e);if(!d)throw new Error("invalid 'what' in when()");return d},e.prototype.fromUrlMatcher=function(e,t){var n=t;Object(i.l)(t)&&(t=this.router.urlMatcherFactory.compile(t)),Object(a.h)(r.a)(t)&&(n=function(e){return t.format(e)});var s={urlMatcher:e,matchPriority:function(t){var n=e.parameters().filter((function(e){return e.isOptional}));return n.length?n.filter((function(e){return t[e.id]})).length/n.length:1e-6},type:"URLMATCHER"};return Object(o.r)(new c((function(t){var n=e.exec(t.path,t.search,t.hash);return e.validates(n)&&n}),n),s)},e.prototype.fromState=function(e,t){var n=s.a.isStateDeclaration(e)?e.$$state():e,r={state:n,type:"STATE"};return Object(o.r)(this.fromUrlMatcher(n.url,(function(e){var r=t.stateService,i=t.globals;r.href(n,e)!==r.href(i.current,i.params)&&r.transitionTo(n,e,{inherit:!0,source:"url"})})),r)},e.prototype.fromRegExp=function(e,t){if(e.global||e.sticky)throw new Error("Rule RegExp must not be global or sticky");var n=Object(i.l)(t)?function(e){return t.replace(/\$(\$|\d{1,2})/,(function(t,n){return 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new Error("State '"+e.name+"' has a 'views' object. It cannot also have \"view properties\" at the state level.  Move the following properties into a view (in the 'views' object):  "+i.filter((function(t){return Object(r.isDefined)(e[t])})).join(", "));var a={},s=e.views||{$default:Object(r.pick)(e,i)};return Object(r.forEach)(s,(function(i,s){if(s=s||"$default",Object(r.isString)(i)&&(i={component:i}),i=Object(r.extend)({},i),o(t,i)&&o(n,i))throw new Error("Cannot combine: "+t.join("|")+" with: "+n.join("|")+" in stateview: '"+s+"@"+e.name+"'");i.resolveAs=i.resolveAs||"$resolve",i.$type="ng1",i.$context=e,i.$name=s;var l=r.ViewService.normalizeUIViewTarget(i.$context,i.$name);i.$uiViewName=l.uiViewName,i.$uiViewContextAnchor=l.uiViewContextAnchor,a[s]=i})),a}var s=0,l=function(){function e(e,t,n){var r=this;this.path=e,this.viewDecl=t,this.factory=n,this.$id=s++,this.loaded=!1,this.getTemplate=function(e,t){return r.component?r.factory.makeComponentTemplate(e,t,r.component,r.viewDecl.bindings):r.template}}return e.prototype.load=function(){var e=this,t=r.services.$q,n=new r.ResolveContext(this.path),i=this.path.reduce((function(e,t){return Object(r.extend)(e,t.paramValues)}),{}),o={template:t.when(this.factory.fromConfig(this.viewDecl,i,n)),controller:t.when(this.getController(n))};return t.all(o).then((function(t){return r.trace.traceViewServiceEvent("Loaded",e),e.controller=t.controller,Object(r.extend)(e,t.template),e}))},e.prototype.getController=function(e){var t=this.viewDecl.controllerProvider;if(!Object(r.isInjectable)(t))return this.viewDecl.controller;var n=r.services.$injector.annotate(t),i=Object(r.isArray)(t)?Object(r.tail)(t):t;return new r.Resolvable("",i,n).get(e)},e}()},function(e,t,n){"use strict";n.d(t,"b",(function(){return z})),n.d(t,"a",(function(){return L}));var r=n(14),i=n(53),o=n(45),a=n(99),s=n(38),l=n(4);function c(e){e.addResolvable(s.b.fromData(a.a,e.router),""),e.addResolvable(s.b.fromData(i.a,e),""),e.addResolvable(s.b.fromData("$transition$",e),""),e.addResolvable(s.b.fromData("$stateParams",e.params()),""),e.entering().forEach((function(t){e.addResolvable(s.b.fromData("$state$",t),t)}))}var u=["$transition$",i.a],d=Object(l.N)(u),f=function(e){var t=Object(l.Tb)(e.treeChanges()).reduce(l.Rb,[]).reduce(l.Pb,[]),n=function(e){return d(e.token)?s.b.fromData(e.token,null):e};t.forEach((function(e){e.resolvables=e.resolvables.map(n)}))},p=n(1),h=n(6),g=n(24),m=function(e){var t=e.to().redirectTo;if(t){var n=e.router.stateService;return Object(p.d)(t)?h.b.$q.when(t(e)).then(r):r(t)}function r(t){if(t)return t instanceof g.a?t:Object(p.l)(t)?n.target(t,e.params(),e.options()):t.state||t.params?n.target(t.state||e.to(),t.params||e.params(),e.options()):void 0}};function v(e){return function(t,n){return(0,n.$$state()[e])(t,n)}}var b=v("onExit"),y=v("onRetain"),x=v("onEnter"),w=n(0),k=n(25),A=n(3),E=function(e){return new k.b(e.treeChanges().to).resolvePath("EAGER",e).then(w.E)},S=function(e,t){return new k.b(e.treeChanges().to).subContext(t.$$state()).resolvePath("LAZY",e).then(w.E)},$=function(e){return new k.b(e.treeChanges().to).resolvePath("LAZY",e).then(w.E)},C=function(e){var t=h.b.$q,n=e.views("entering");if(n.length)return t.all(n.map((function(e){return t.when(e.load())}))).then(w.E)},_=function(e){var t=e.views("entering"),n=e.views("exiting");if(t.length||n.length){var r=e.router.viewService;n.forEach((function(e){return r.deactivateViewConfig(e)})),t.forEach((function(e){return r.activateViewConfig(e)})),r.sync()}},O=function(e){var t=e.router.globals,n=function(){t.transition===e&&(t.transition=null)};e.onSuccess({},(function(){t.successfulTransitions.enqueue(e),t.$current=e.$to(),t.current=t.$current.self,Object(w.m)(e.params(),t.params)}),{priority:1e4}),e.promise.then(n,n)},j=function(e){var t=e.options(),n=e.router.stateService,r=e.router.urlRouter;if("url"!==t.source&&t.location&&n.$current.navigable){var i={replace:"replace"===t.location};r.push(n.$current.navigable.url,n.params,i)}r.update(!0)},T=n(115),P=n(107),D=n(17),R=n(10),I=n(8);function N(e){var t=e._ignoredReason();if(t){R.c.traceTransitionIgnored(e);var n=e.router.globals.transition;return"SameAsCurrent"===t&&n&&n.abort(),I.b.ignored().toPromise()}}function M(e){if(!e.valid())throw new Error(e.error().toString())}var z={location:!0,relative:null,inherit:!1,notify:!0,reload:!1,supercede:!0,custom:{},current:function(){return null},source:"unknown"},L=function(){function e(e){this._transitionCount=0,this._eventTypes=[],this._registeredHooks={},this._criteriaPaths={},this._router=e,this.$view=e.viewService,this._deregisterHookFns={},this._pluginapi=Object(w.n)(Object(A.p)(this),{},Object(A.p)(this),["_definePathType","_defineEvent","_getPathTypes","_getEvents","getHooks"]),this._defineCorePaths(),this._defineCoreEvents(),this._registerCoreTransitionHooks(),e.globals.successfulTransitions.onEvict(f)}return e.prototype.onCreate=function(e,t,n){},e.prototype.onBefore=function(e,t,n){},e.prototype.onStart=function(e,t,n){},e.prototype.onExit=function(e,t,n){},e.prototype.onRetain=function(e,t,n){},e.prototype.onEnter=function(e,t,n){},e.prototype.onFinish=function(e,t,n){},e.prototype.onSuccess=function(e,t,n){},e.prototype.onError=function(e,t,n){},e.prototype.dispose=function(e){Object(w.U)(this._registeredHooks).forEach((function(e){return e.forEach((function(t){t._deregistered=!0,Object(w.L)(e,t)}))}))},e.prototype.create=function(e,t){return new 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e&&e.originalTransition()||this},e.prototype.options=function(){return this._options},e.prototype.entering=function(){return Object(a.B)(this._treeChanges.entering,Object(l.n)("state")).map(y)},e.prototype.exiting=function(){return Object(a.B)(this._treeChanges.exiting,Object(l.n)("state")).map(y).reverse()},e.prototype.retained=function(){return Object(a.B)(this._treeChanges.retained,Object(l.n)("state")).map(y)},e.prototype.views=function(e,t){void 0===e&&(e="entering");var n=this._treeChanges[e];return(n=t?n.filter(Object(l.o)("state",t)):n).map(Object(l.n)("views")).filter(a.y).reduce(a.T,[])},e.prototype.treeChanges=function(e){return e?this._treeChanges[e]:this._treeChanges},e.prototype.redirect=function(e){for(var t=1,n=this;null!=(n=n.redirectedFrom());)if(++t>20)throw new Error("Too many consecutive Transition redirects (20+)");var r={redirectedFrom:this,source:"redirect"};"url"===this.options().source&&!1!==e.options().location&&(r.location="replace");var i=Object(a.r)({},this.options(),e.options(),r);e=e.withOptions(i,!0);var o,s=this.router.transitionService.create(this._treeChanges.from,e),c=this._treeChanges.entering,u=s._treeChanges.entering;return f.a.matching(u,c,f.a.nonDynamicParams).filter(Object(l.i)((o=e.options().reloadState,function(e){return o&&e.state.includes[o.name]}))).forEach((function(e,t){e.resolvables=c[t].resolvables})),s},e.prototype._changedParams=function(){var e=this._treeChanges;if(!this._options.reload&&(!e.exiting.length&&!e.entering.length&&e.to.length===e.from.length&&!Object(a.i)(e.to,e.from).map((function(e){return e[0].state!==e[1].state})).reduce(a.g,!1))){var t=e.to.map((function(e){return e.paramSchema})),n=[e.to,e.from].map((function(e){return e.map((function(e){return e.paramValues}))})),r=n[0],i=n[1];return Object(a.i)(t,r,i).map((function(e){var t=e[0],n=e[1],r=e[2];return h.b.changed(t,n,r)})).reduce(a.T,[])}},e.prototype.dynamic=function(){var e=this._changedParams();return!!e&&e.map((function(e){return e.dynamic})).reduce(a.g,!1)},e.prototype.ignored=function(){return!!this._ignoredReason()},e.prototype._ignoredReason=function(){var e=this.router.globals.transition,t=this._options.reloadState,n=function(e,n){if(e.length!==n.length)return!1;var r=f.a.matching(e,n);return e.length===r.filter((function(e){return!t||!e.state.includes[t.name]})).length},r=this.treeChanges(),i=e&&e.treeChanges();return i&&n(i.to,r.to)&&n(i.exiting,r.exiting)?"SameAsPending":0===r.exiting.length&&0===r.entering.length&&n(r.from,r.to)?"SameAsCurrent":void 0},e.prototype.run=function(){var e=this,t=u.a.runAllHooks,n=function(t){return e._hookBuilder.buildHooksForPhase(t)},o=n(c.a.BEFORE);return u.a.invokeHooks(o,(function(){var t=e.router.globals;return t.lastStartedTransitionId=e.$id,t.transition=e,t.transitionHistory.enqueue(e),r.c.traceTransitionStart(e),i.b.$q.when(void 0)})).then((function(){var e=n(c.a.RUN);return 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t=e.options(),n=e.router.stateService,r=e.router.urlRouter;if("url"!==t.source&&t.location&&n.$current.navigable){var i={replace:"replace"===t.location};r.push(n.$current.navigable.url,n.params,i)}r.update(!0)},j=n(115),P=n(107),D=n(17),R=n(10),I=n(8);function N(e){var t=e._ignoredReason();if(t){R.c.traceTransitionIgnored(e);var n=e.router.globals.transition;return"SameAsCurrent"===t&&n&&n.abort(),I.b.ignored().toPromise()}}function M(e){if(!e.valid())throw new Error(e.error().toString())}var z={location:!0,relative:null,inherit:!1,notify:!0,reload:!1,supercede:!0,custom:{},current:function(){return null},source:"unknown"},L=function(){function 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 /**
  * Prism: Lightweight, robust, elegant syntax highlighting
  *
@@ -56,7 +56,7 @@
  * @author Lea Verou <https://lea.verou.me>
  * @namespace
  * @public
- */e.exports&&(e.exports=n),void 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r={};r["language-"+t]={pattern:/(^<!\[CDATA\[)[\s\S]+?(?=\]\]>$)/i,lookbehind:!0,inside:n.languages[t]},r.cdata=/^<!\[CDATA\[|\]\]>$/i;var i={"included-cdata":{pattern:/<!\[CDATA\[[\s\S]*?\]\]>/i,inside:r}};i["language-"+t]={pattern:/[\s\S]+/,inside:n.languages[t]};var o={};o[e]={pattern:RegExp(/(<__[^>]*>)(?:<!\[CDATA\[(?:[^\]]|\](?!\]>))*\]\]>|(?!<!\[CDATA\[)[\s\S])*?(?=<\/__>)/.source.replace(/__/g,(function(){return 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t=e.name||"",n=t.split(".");if("**"===n.pop()&&n.pop(),n.length){if(e.parent)throw new Error("States that specify the 'parent:' property should not have a '.' in their name ("+t+")");return n.join(".")}return e.parent?Object(i.l)(e.parent)?e.parent:e.parent.name:""},e.prototype.name=function(e){var t=e.name;if(-1!==t.indexOf(".")||!e.parent)return t;var n=Object(i.l)(e.parent)?e.parent:e.parent.name;return n?n+"."+t:t},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return a}));var r=n(1),i=n(0),o=n(19),a=function(){function e(e){this._states=e}return e.prototype.isRelative=function(e){return 0===(e=e||"").indexOf(".")||0===e.indexOf("^")},e.prototype.find=function(e,t,n){if(void 0===n&&(n=!0),e||""===e){var a=Object(r.l)(e),s=a?e:e.name;this.isRelative(s)&&(s=this.resolvePath(s,t));var l=this._states[s];if(l&&(a||!(a||l!==e&&l.self!==e)))return l;if(a&&n){var c=Object(i.U)(this._states).filter((function(e){return e.__stateObjectCache.nameGlob&&e.__stateObjectCache.nameGlob.matches(s)}));return c.length>1&&o.a.error("stateMatcher.find: Found multiple matches for "+s+" using glob: ",c.map((function(e){return e.name}))),c[0]}}},e.prototype.resolvePath=function(e,t){if(!t)throw new Error("No reference point given for path '"+e+"'");for(var n=this.find(t),r=e.split("."),i=r.length,o=0,a=n;o<i;o++)if(""!==r[o]||0!==o){if("^"!==r[o])break;if(!a.parent)throw new Error("Path '"+e+"' not valid for state '"+n.name+"'");a=a.parent}else a=n;var s=r.slice(o).join(".");return a.name+(a.name&&s?".":"")+s},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return o}));var r=n(4),i=n(44),o=function(){function e(e,t,n,r){this.router=e,this.states=t,this.builder=n,this.listeners=r,this.queue=[]}return e.prototype.dispose=function(){this.queue=[]},e.prototype.register=function(e){var t=this.queue,n=i.a.create(e),o=n.name;if(!Object(r.cb)(o))throw new Error("State must have a valid name");if(this.states.hasOwnProperty(o)||Object(r.N)(t.map(Object(r.wb)("name")),o))throw new Error("State '"+o+"' is already defined");return t.push(n),this.flush(),n},e.prototype.flush=function(){for(var e=this,t=this.queue,n=this.states,r=this.builder,i=[],o=[],a={},s=function(t){return e.states.hasOwnProperty(t)&&e.states[t]},l=function(){i.length&&e.listeners.forEach((function(e){return e("registered",i.map((function(e){return e.self})))}))};t.length>0;){var c=t.shift(),u=c.name,d=r.build(c),f=o.indexOf(c);if(d){var p=s(u);if(p&&p.name===u)throw new Error("State '"+u+"' is already defined");var h=s(u+".**");h&&this.router.stateRegistry.deregister(h),n[u]=c,this.attachRoute(c),f>=0&&o.splice(f,1),i.push(c)}else{var g=a[u];if(a[u]=t.length,f>=0&&g===t.length)return t.push(c),l(),n;f<0&&o.push(c),t.push(c)}}return l(),n},e.prototype.attachRoute=function(e){if(!e.abstract&&e.url){var t=this.router.urlService.rules;t.rule(t.urlRuleFactory.create(e))}},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return l}));var r=n(94),i=n(93),o=n(95),a=n(0),s=n(3),l=function(){function e(e){this.router=e,this.states={},this.listeners=[],this.matcher=new r.a(this.states),this.builder=new i.a(this.matcher,e.urlMatcherFactory),this.stateQueue=new o.a(e,this.states,this.builder,this.listeners),this._registerRoot()}return e.prototype._registerRoot=function(){(this._root=this.stateQueue.register({name:"",url:"^",views:null,params:{"#":{value:null,type:"hash",dynamic:!0}},abstract:!0})).navigable=null},e.prototype.dispose=function(){var e=this;this.stateQueue.dispose(),this.listeners=[],this.get().forEach((function(t){return e.get(t)&&e.deregister(t)}))},e.prototype.onStatesChanged=function(e){return this.listeners.push(e),function(){Object(a.L)(this.listeners)(e)}.bind(this)},e.prototype.root=function(){return this._root},e.prototype.register=function(e){return this.stateQueue.register(e)},e.prototype._deregisterTree=function(e){var t=this,n=this.get().map((function(e){return e.$$state()})),r=function(e){var t=n.filter((function(t){return-1!==e.indexOf(t.parent)}));return 0===t.length?t:t.concat(r(t))},i=r([e]),o=[e].concat(i).reverse();return o.forEach((function(e){var n=t.router.urlService.rules;n.rules().filter(Object(s.o)("state",e)).forEach((function(e){return n.removeRule(e)})),delete t.states[e.name]})),o},e.prototype.deregister=function(e){var t=this.get(e);if(!t)throw new Error("Can't deregister state; not found: "+e);var n=this._deregisterTree(t.$$state());return this.listeners.forEach((function(e){return e("deregistered",n.map((function(e){return e.self})))})),n},e.prototype.get=function(e,t){var n=this;if(0===arguments.length)return Object.keys(this.states).map((function(e){return n.states[e].self}));var r=this.matcher.find(e,t);return r&&r.self||null},e.prototype.decorator=function(e,t){return this.builder.builder(e,t)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return v}));var r=n(0),i=n(1),o=n(50),a=n(6),s=n(18),l=n(52),c=n(56),u=n(8),d=n(24),f=n(16),p=n(62),h=n(25),g=n(115),m=n(3),v=function(){function e(t){this.router=t,this.invalidCallbacks=[],this._defaultErrorHandler=function(e){e instanceof Error&&e.stack?(console.error(e),console.error(e.stack)):e instanceof u.b?(console.error(e.toString()),e.detail&&e.detail.stack&&console.error(e.detail.stack)):console.error(e)};var n=Object.keys(e.prototype).filter(Object(m.i)(Object(r.z)(["current","$current","params","transition"])));Object(r.n)(Object(m.p)(e.prototype),this,Object(m.p)(this),n)}return Object.defineProperty(e.prototype,"transition",{get:function(){return this.router.globals.transition},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"params",{get:function(){return this.router.globals.params},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"current",{get:function(){return this.router.globals.current},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"$current",{get:function(){return this.router.globals.$current},enumerable:!1,configurable:!0}),e.prototype.dispose=function(){this.defaultErrorHandler(r.E),this.invalidCallbacks=[]},e.prototype._handleInvalidTargetState=function(e,t){var n=this,r=s.a.makeTargetState(this.router.stateRegistry,e),i=this.router.globals,l=function(){return i.transitionHistory.peekTail()},c=l(),f=new o.a(this.invalidCallbacks.slice()),p=new h.b(e).injector(),g=function(e){if(e instanceof d.a){var t=e;return(t=n.target(t.identifier(),t.params(),t.options())).valid()?l()!==c?u.b.superseded().toPromise():n.transitionTo(t.identifier(),t.params(),t.options()):u.b.invalid(t.error()).toPromise()}};return function e(){var n=f.dequeue();return void 0===n?u.b.invalid(t.error()).toPromise():a.b.$q.when(n(t,r,p)).then(g).then((function(t){return t||e()}))}()},e.prototype.onInvalid=function(e){return this.invalidCallbacks.push(e),function(){Object(r.L)(this.invalidCallbacks)(e)}.bind(this)},e.prototype.reload=function(e){return this.transitionTo(this.current,this.params,{reload:!Object(i.c)(e)||e,inherit:!1,notify:!1})},e.prototype.go=function(e,t,n){var i={relative:this.$current,inherit:!0},o=Object(r.o)(n,i,c.b);return this.transitionTo(e,t,o)},e.prototype.target=function(e,t,n){if(void 0===n&&(n={}),Object(i.i)(n.reload)&&!n.reload.name)throw new Error("Invalid reload state object");var r=this.router.stateRegistry;if(n.reloadState=!0===n.reload?r.root():r.matcher.find(n.reload,n.relative),n.reload&&!n.reloadState)throw new Error("No such reload state '"+(Object(i.l)(n.reload)?n.reload:n.reload.name)+"'");return new d.a(this.router.stateRegistry,e,t,n)},e.prototype.getCurrentPath=function(){var e=this,t=this.router.globals.successfulTransitions.peekTail();return t?t.treeChanges().to:[new l.a(e.router.stateRegistry.root())]},e.prototype.transitionTo=function(e,t,n){var i=this;void 0===t&&(t={}),void 0===n&&(n={});var o=this.router,s=o.globals;n=Object(r.o)(n,c.b);var l=function(){return s.transition};n=Object(r.r)(n,{current:l});var f=this.target(e,t,n),p=this.getCurrentPath();if(!f.exists())return this._handleInvalidTargetState(p,f);if(!f.valid())return Object(r.O)(f.error());if(!1===n.supercede&&l())return u.b.ignored("Another transition is in progress and supercede has been set to false in TransitionOptions for the transition. So the transition was ignored in favour of the existing one in progress.").toPromise();var h=function(e){return function(t){if(t instanceof u.b){var n=o.globals.lastStartedTransitionId<=e.$id;if(t.type===u.a.IGNORED)return n&&o.urlRouter.update(),a.b.$q.when(s.current);var r=t.detail;if(t.type===u.a.SUPERSEDED&&t.redirected&&r instanceof d.a){var l=e.redirect(r);return l.run().catch(h(l))}if(t.type===u.a.ABORTED)return n&&o.urlRouter.update(),a.b.$q.reject(t)}return i.defaultErrorHandler()(t),a.b.$q.reject(t)}},g=this.router.transitionService.create(p,f),m=g.run().catch(h(g));return Object(r.N)(m),Object(r.r)(m,{transition:g})},e.prototype.is=function(e,t,n){n=Object(r.o)(n,{relative:this.$current});var o=this.router.stateRegistry.matcher.find(e,n.relative);if(Object(i.c)(o)){if(this.$current!==o)return!1;if(!t)return!0;var a=o.parameters({inherit:!0,matchingKeys:t});return f.b.equals(a,f.b.values(a,t),this.params)}},e.prototype.includes=function(e,t,n){n=Object(r.o)(n,{relative:this.$current});var o=Object(i.l)(e)&&p.a.fromString(e);if(o){if(!o.matches(this.$current.name))return!1;e=this.$current.name}var a=this.router.stateRegistry.matcher.find(e,n.relative),s=this.$current.includes;if(Object(i.c)(a)){if(!Object(i.c)(s[a.name]))return!1;if(!t)return!0;var l=a.parameters({inherit:!0,matchingKeys:t});return f.b.equals(l,f.b.values(l,t),this.params)}},e.prototype.href=function(e,t,n){var o={lossy:!0,inherit:!0,absolute:!1,relative:this.$current};n=Object(r.o)(n,o),t=t||{};var a=this.router.stateRegistry.matcher.find(e,n.relative);if(!Object(i.c)(a))return null;n.inherit&&(t=this.params.$inherit(t,this.$current,a));var s=a&&n.lossy?a.navigable:a;return s&&void 0!==s.url&&null!==s.url?this.router.urlRouter.href(s.url,t,{absolute:n.absolute}):null},e.prototype.defaultErrorHandler=function(e){return this._defaultErrorHandler=e||this._defaultErrorHandler},e.prototype.get=function(e,t){var n=this.router.stateRegistry;return 0===arguments.length?n.get():n.get(e,t||this.$current)},e.prototype.lazyLoad=function(e,t){var n=this.get(e);if(!n||!n.lazyLoad)throw new Error("Can not lazy load "+e);var r=this.getCurrentPath(),i=s.a.makeTargetState(this.router.stateRegistry,r);return t=t||this.router.transitionService.create(r,i),Object(g.a)(t,n)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return s}));var r=n(0),i=n(1),o=n(14),a=n(17),s=function(){function e(e){this.transition=e}return e.prototype.buildHooksForPhase=function(e){var t=this;return this.transition.router.transitionService._pluginapi._getEvents(e).map((function(e){return t.buildHooks(e)})).reduce(r.T,[]).filter(r.y)},e.prototype.buildHooks=function(e){var t=this.transition,n=t.treeChanges(),i=this.getMatchingHooks(e,n,t);if(!i)return[];var s={transition:t,current:t.options().current};return i.map((function(i){return i.matches(n,t)[e.criteriaMatchPath.name].map((function(n){var l=Object(r.r)({bind:i.bind,traceData:{hookType:e.name,context:n}},s),c=e.criteriaMatchPath.scope===o.b.STATE?n.state.self:null,u=new a.a(t,c,i,l);return{hook:i,node:n,transitionHook:u}}))})).reduce(r.T,[]).sort(function(e){void 0===e&&(e=!1);return function(t,n){var r=e?-1:1,i=(t.node.state.path.length-n.node.state.path.length)*r;return 0!==i?i:n.hook.priority-t.hook.priority}}(e.reverseSort)).map((function(e){return e.transitionHook}))},e.prototype.getMatchingHooks=function(e,t,n){var a=e.hookPhase===o.a.CREATE,s=this.transition.router.transitionService;return(a?[s]:[this.transition,s]).map((function(t){return t.getHooks(e.name)})).filter(Object(r.l)(i.a,"broken event named: "+e.name)).reduce(r.T,[]).filter((function(e){return e.matches(t,n)}))},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return b}));var r=n(100),i=n(101),o=n(56),a=n(102),s=n(96),l=n(97),c=n(103),u=n(0),d=n(1),f=n(104),p=n(10),h=n(4),g=0,m=Object(h.gb)("LocationServices",["url","path","search","hash","onChange"]),v=Object(h.gb)("LocationConfig",["port","protocol","host","baseHref","html5Mode","hashPrefix"]),b=function(){function e(e,t){void 0===e&&(e=m),void 0===t&&(t=v),this.locationService=e,this.locationConfig=t,this.$id=g++,this._disposed=!1,this._disposables=[],this.trace=p.c,this.viewService=new a.a(this),this.globals=new c.a,this.transitionService=new o.a(this),this.urlMatcherFactory=new r.b(this),this.urlRouter=new i.a(this),this.urlService=new f.a(this),this.stateRegistry=new s.a(this),this.stateService=new l.a(this),this._plugins={},this.viewService._pluginapi._rootViewContext(this.stateRegistry.root()),this.globals.$current=this.stateRegistry.root(),this.globals.current=this.globals.$current.self,this.disposable(this.globals),this.disposable(this.stateService),this.disposable(this.stateRegistry),this.disposable(this.transitionService),this.disposable(this.urlService),this.disposable(e),this.disposable(t)}return e.prototype.disposable=function(e){this._disposables.push(e)},e.prototype.dispose=function(e){var t=this;e&&Object(d.d)(e.dispose)?e.dispose(this):(this._disposed=!0,this._disposables.slice().forEach((function(e){try{"function"==typeof e.dispose&&e.dispose(t),Object(u.L)(t._disposables,e)}catch(e){}})))},e.prototype.plugin=function(e,t){void 0===t&&(t={});var n=new e(this,t);if(!n.name)throw new Error("Required property `name` missing on plugin: "+n);return this._disposables.push(n),this._plugins[n.name]=n},e.prototype.getPlugin=function(e){return e?this._plugins[e]:Object(u.U)(this._plugins)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return s})),n.d(t,"b",(function(){return l}));var r=n(4),i=n(30),o=n(26),a=function(){return(a=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)},s=function(){function e(e){this.router=e}return e.prototype.fromConfig=function(e,t,n){return new o.Param(e,t,o.DefType.CONFIG,this.router.urlService.config,n)},e.prototype.fromPath=function(e,t,n){return new o.Param(e,t,o.DefType.PATH,this.router.urlService.config,n)},e.prototype.fromSearch=function(e,t,n){return new o.Param(e,t,o.DefType.SEARCH,this.router.urlService.config,n)},e}(),l=function(){function e(e){var t=this;this.router=e,this.paramFactory=new s(this.router),this.UrlMatcher=i.a,this.Param=o.Param,this.caseInsensitive=function(e){return t.router.urlService.config.caseInsensitive(e)},this.defaultSquashPolicy=function(e){return t.router.urlService.config.defaultSquashPolicy(e)},this.strictMode=function(e){return t.router.urlService.config.strictMode(e)},this.type=function(e,n,r){return t.router.urlService.config.type(e,n,r)||t}}return e.prototype.compile=function(e,t){var n=this.router.urlService.config,o=t&&!t.state&&t.params;t=o?a({state:{params:o}},t):t;var s={strict:n._isStrictMode,caseInsensitive:n._isCaseInsensitive,decodeParams:n._decodeParams};return new i.a(e,n.paramTypes,this.paramFactory,Object(r.C)(s,t))},e.prototype.isMatcher=function(e){if(!Object(r.Z)(e))return!1;var t=!0;return Object(r.I)(i.a.prototype,(function(n,i){Object(r.U)(n)&&(t=t&&Object(r.T)(e[i])&&Object(r.U)(e[i]))})),t},e.prototype.$get=function(){var e=this.router.urlService.config;return e.paramTypes.enqueue=!1,e.paramTypes._flushTypeQueue(),this},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return o}));var r=n(4),i=n(54);var o=function(){function e(e){var t=this;this.router=e,this.sync=function(e){return t.router.urlService.sync(e)},this.listen=function(e){return t.router.urlService.listen(e)},this.deferIntercept=function(e){return t.router.urlService.deferIntercept(e)},this.match=function(e){return t.router.urlService.match(e)},this.initial=function(e){return t.router.urlService.rules.initial(e)},this.otherwise=function(e){return t.router.urlService.rules.otherwise(e)},this.removeRule=function(e){return t.router.urlService.rules.removeRule(e)},this.rule=function(e){return t.router.urlService.rules.rule(e)},this.rules=function(){return t.router.urlService.rules.rules()},this.sort=function(e){return t.router.urlService.rules.sort(e)},this.when=function(e,n,r){return t.router.urlService.rules.when(e,n,r)},this.urlRuleFactory=new i.b(e)}return e.prototype.update=function(e){var 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h(e){return e.parent?e.parent.path.concat(e):[e]}function g(e){var t=e.parent?Object(r.r)({},e.parent.includes):{};return t[e.name]=!0,t}function m(e){var t,n,c=function(e){return e.provide||e.token},u=Object(a.l)([[Object(a.n)("resolveFn"),function(e){return new s.a(c(e),e.resolveFn,e.deps,e.policy)}],[Object(a.n)("useFactory"),function(e){return new s.a(c(e),e.useFactory,e.deps||e.dependencies,e.policy)}],[Object(a.n)("useClass"),function(e){return new s.a(c(e),(function(){return new e.useClass}),[],e.policy)}],[Object(a.n)("useValue"),function(e){return new s.a(c(e),(function(){return e.useValue}),[],e.policy,e.useValue)}],[Object(a.n)("useExisting"),function(e){return new s.a(c(e),r.y,[e.useExisting],e.policy)}]]),d=Object(a.l)([[Object(a.m)(Object(a.n)("val"),i.l),function(e){return new s.a(e.token,r.y,[e.val],e.policy)}],[Object(a.m)(Object(a.n)("val"),i.a),function(e){return new 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s(t)?null:e.find(i.parentName(t))||o()}],data:[d],url:[p(t,o)],navigable:[f(s)],params:[(n=t.paramFactory,function(e){var t=e.url&&e.url.parameters({inherit:!1})||[],i=Object(r.U)(Object(r.C)(Object(r.F)(e.params||{},t.map(Object(a.n)("id"))),(function(t,r){return n.fromConfig(r,null,e.self)})));return t.concat(i).map((function(e){return[e.id,e]})).reduce(r.h,{})})],views:[],path:[h],includes:[g],resolvables:[m]}}return e.prototype.builder=function(e,t){var n=this.builders,r=n[e]||[];return Object(i.l)(e)&&!Object(i.c)(t)?r.length>1?r:r[0]:Object(i.l)(e)&&Object(i.d)(t)?(n[e]=r,n[e].push(t),function(){return n[e].splice(n[e].indexOf(t,1))&&null}):void 0},e.prototype.build=function(e){var t=this.matcher,n=this.builders,i=this.parentName(e);if(i&&!t.find(i,void 0,!1))return null;for(var o in n)if(n.hasOwnProperty(o)){var a=n[o].reduce((function(e,t){return function(n){return t(n,e)}}),r.E);e[o]=a(e)}return e},e.prototype.parentName=function(e){var t=e.name||"",n=t.split(".");if("**"===n.pop()&&n.pop(),n.length){if(e.parent)throw new Error("States that specify the 'parent:' property should not have a '.' in their name ("+t+")");return n.join(".")}return e.parent?Object(i.l)(e.parent)?e.parent:e.parent.name:""},e.prototype.name=function(e){var t=e.name;if(-1!==t.indexOf(".")||!e.parent)return t;var n=Object(i.l)(e.parent)?e.parent:e.parent.name;return n?n+"."+t:t},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return a}));var r=n(1),i=n(0),o=n(19),a=function(){function e(e){this._states=e}return e.prototype.isRelative=function(e){return 0===(e=e||"").indexOf(".")||0===e.indexOf("^")},e.prototype.find=function(e,t,n){if(void 0===n&&(n=!0),e||""===e){var a=Object(r.l)(e),s=a?e:e.name;this.isRelative(s)&&(s=this.resolvePath(s,t));var l=this._states[s];if(l&&(a||!(a||l!==e&&l.self!==e)))return l;if(a&&n){var c=Object(i.U)(this._states).filter((function(e){return e.__stateObjectCache.nameGlob&&e.__stateObjectCache.nameGlob.matches(s)}));return c.length>1&&o.a.error("stateMatcher.find: Found multiple matches for "+s+" using glob: ",c.map((function(e){return e.name}))),c[0]}}},e.prototype.resolvePath=function(e,t){if(!t)throw new Error("No reference point given for path '"+e+"'");for(var n=this.find(t),r=e.split("."),i=r.length,o=0,a=n;o<i;o++)if(""!==r[o]||0!==o){if("^"!==r[o])break;if(!a.parent)throw new Error("Path '"+e+"' not valid for state '"+n.name+"'");a=a.parent}else a=n;var s=r.slice(o).join(".");return a.name+(a.name&&s?".":"")+s},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return o}));var r=n(4),i=n(44),o=function(){function e(e,t,n,r){this.router=e,this.states=t,this.builder=n,this.listeners=r,this.queue=[]}return e.prototype.dispose=function(){this.queue=[]},e.prototype.register=function(e){var t=this.queue,n=i.a.create(e),o=n.name;if(!Object(r.cb)(o))throw new Error("State must have a valid 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t=this,n=this.get().map((function(e){return e.$$state()})),r=function(e){var t=n.filter((function(t){return-1!==e.indexOf(t.parent)}));return 0===t.length?t:t.concat(r(t))},i=r([e]),o=[e].concat(i).reverse();return o.forEach((function(e){var n=t.router.urlService.rules;n.rules().filter(Object(s.o)("state",e)).forEach((function(e){return n.removeRule(e)})),delete t.states[e.name]})),o},e.prototype.deregister=function(e){var t=this.get(e);if(!t)throw new Error("Can't deregister state; not found: "+e);var n=this._deregisterTree(t.$$state());return this.listeners.forEach((function(e){return e("deregistered",n.map((function(e){return e.self})))})),n},e.prototype.get=function(e,t){var n=this;if(0===arguments.length)return Object.keys(this.states).map((function(e){return n.states[e].self}));var r=this.matcher.find(e,t);return r&&r.self||null},e.prototype.decorator=function(e,t){return this.builder.builder(e,t)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return v}));var r=n(0),i=n(1),o=n(50),a=n(6),s=n(18),l=n(52),c=n(56),u=n(8),d=n(24),p=n(16),f=n(62),h=n(25),g=n(115),m=n(3),v=function(){function e(t){this.router=t,this.invalidCallbacks=[],this._defaultErrorHandler=function(e){e instanceof Error&&e.stack?(console.error(e),console.error(e.stack)):e instanceof u.b?(console.error(e.toString()),e.detail&&e.detail.stack&&console.error(e.detail.stack)):console.error(e)};var n=Object.keys(e.prototype).filter(Object(m.i)(Object(r.z)(["current","$current","params","transition"])));Object(r.n)(Object(m.p)(e.prototype),this,Object(m.p)(this),n)}return Object.defineProperty(e.prototype,"transition",{get:function(){return this.router.globals.transition},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"params",{get:function(){return this.router.globals.params},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"current",{get:function(){return 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this.invalidCallbacks.push(e),function(){Object(r.L)(this.invalidCallbacks)(e)}.bind(this)},e.prototype.reload=function(e){return this.transitionTo(this.current,this.params,{reload:!Object(i.c)(e)||e,inherit:!1,notify:!1})},e.prototype.go=function(e,t,n){var i={relative:this.$current,inherit:!0},o=Object(r.o)(n,i,c.b);return this.transitionTo(e,t,o)},e.prototype.target=function(e,t,n){if(void 0===n&&(n={}),Object(i.i)(n.reload)&&!n.reload.name)throw new Error("Invalid reload state object");var r=this.router.stateRegistry;if(n.reloadState=!0===n.reload?r.root():r.matcher.find(n.reload,n.relative),n.reload&&!n.reloadState)throw new Error("No such reload state '"+(Object(i.l)(n.reload)?n.reload:n.reload.name)+"'");return new d.a(this.router.stateRegistry,e,t,n)},e.prototype.getCurrentPath=function(){var e=this,t=this.router.globals.successfulTransitions.peekTail();return t?t.treeChanges().to:[new l.a(e.router.stateRegistry.root())]},e.prototype.transitionTo=function(e,t,n){var i=this;void 0===t&&(t={}),void 0===n&&(n={});var o=this.router,s=o.globals;n=Object(r.o)(n,c.b);var l=function(){return s.transition};n=Object(r.r)(n,{current:l});var p=this.target(e,t,n),f=this.getCurrentPath();if(!p.exists())return this._handleInvalidTargetState(f,p);if(!p.valid())return Object(r.O)(p.error());if(!1===n.supercede&&l())return u.b.ignored("Another transition is in progress and supercede has been set to false in TransitionOptions for the transition. So the transition was ignored in favour of the existing one in progress.").toPromise();var h=function(e){return function(t){if(t instanceof u.b){var n=o.globals.lastStartedTransitionId<=e.$id;if(t.type===u.a.IGNORED)return n&&o.urlRouter.update(),a.b.$q.when(s.current);var r=t.detail;if(t.type===u.a.SUPERSEDED&&t.redirected&&r instanceof d.a){var l=e.redirect(r);return l.run().catch(h(l))}if(t.type===u.a.ABORTED)return n&&o.urlRouter.update(),a.b.$q.reject(t)}return i.defaultErrorHandler()(t),a.b.$q.reject(t)}},g=this.router.transitionService.create(f,p),m=g.run().catch(h(g));return Object(r.N)(m),Object(r.r)(m,{transition:g})},e.prototype.is=function(e,t,n){n=Object(r.o)(n,{relative:this.$current});var o=this.router.stateRegistry.matcher.find(e,n.relative);if(Object(i.c)(o)){if(this.$current!==o)return!1;if(!t)return!0;var a=o.parameters({inherit:!0,matchingKeys:t});return p.b.equals(a,p.b.values(a,t),this.params)}},e.prototype.includes=function(e,t,n){n=Object(r.o)(n,{relative:this.$current});var o=Object(i.l)(e)&&f.a.fromString(e);if(o){if(!o.matches(this.$current.name))return!1;e=this.$current.name}var a=this.router.stateRegistry.matcher.find(e,n.relative),s=this.$current.includes;if(Object(i.c)(a)){if(!Object(i.c)(s[a.name]))return!1;if(!t)return!0;var l=a.parameters({inherit:!0,matchingKeys:t});return p.b.equals(l,p.b.values(l,t),this.params)}},e.prototype.href=function(e,t,n){var o={lossy:!0,inherit:!0,absolute:!1,relative:this.$current};n=Object(r.o)(n,o),t=t||{};var a=this.router.stateRegistry.matcher.find(e,n.relative);if(!Object(i.c)(a))return null;n.inherit&&(t=this.params.$inherit(t,this.$current,a));var s=a&&n.lossy?a.navigable:a;return s&&void 0!==s.url&&null!==s.url?this.router.urlRouter.href(s.url,t,{absolute:n.absolute}):null},e.prototype.defaultErrorHandler=function(e){return this._defaultErrorHandler=e||this._defaultErrorHandler},e.prototype.get=function(e,t){var n=this.router.stateRegistry;return 0===arguments.length?n.get():n.get(e,t||this.$current)},e.prototype.lazyLoad=function(e,t){var n=this.get(e);if(!n||!n.lazyLoad)throw new Error("Can not lazy load "+e);var r=this.getCurrentPath(),i=s.a.makeTargetState(this.router.stateRegistry,r);return t=t||this.router.transitionService.create(r,i),Object(g.a)(t,n)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return s}));var r=n(0),i=n(1),o=n(14),a=n(17),s=function(){function e(e){this.transition=e}return e.prototype.buildHooksForPhase=function(e){var t=this;return this.transition.router.transitionService._pluginapi._getEvents(e).map((function(e){return t.buildHooks(e)})).reduce(r.T,[]).filter(r.y)},e.prototype.buildHooks=function(e){var t=this.transition,n=t.treeChanges(),i=this.getMatchingHooks(e,n,t);if(!i)return[];var s={transition:t,current:t.options().current};return i.map((function(i){return i.matches(n,t)[e.criteriaMatchPath.name].map((function(n){var l=Object(r.r)({bind:i.bind,traceData:{hookType:e.name,context:n}},s),c=e.criteriaMatchPath.scope===o.b.STATE?n.state.self:null,u=new a.a(t,c,i,l);return{hook:i,node:n,transitionHook:u}}))})).reduce(r.T,[]).sort(function(e){void 0===e&&(e=!1);return function(t,n){var r=e?-1:1,i=(t.node.state.path.length-n.node.state.path.length)*r;return 0!==i?i:n.hook.priority-t.hook.priority}}(e.reverseSort)).map((function(e){return e.transitionHook}))},e.prototype.getMatchingHooks=function(e,t,n){var a=e.hookPhase===o.a.CREATE,s=this.transition.router.transitionService;return(a?[s]:[this.transition,s]).map((function(t){return t.getHooks(e.name)})).filter(Object(r.l)(i.a,"broken event named: "+e.name)).reduce(r.T,[]).filter((function(e){return e.matches(t,n)}))},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return b}));var r=n(100),i=n(101),o=n(56),a=n(102),s=n(96),l=n(97),c=n(103),u=n(0),d=n(1),p=n(104),f=n(10),h=n(4),g=0,m=Object(h.gb)("LocationServices",["url","path","search","hash","onChange"]),v=Object(h.gb)("LocationConfig",["port","protocol","host","baseHref","html5Mode","hashPrefix"]),b=function(){function e(e,t){void 0===e&&(e=m),void 0===t&&(t=v),this.locationService=e,this.locationConfig=t,this.$id=g++,this._disposed=!1,this._disposables=[],this.trace=f.c,this.viewService=new a.a(this),this.globals=new c.a,this.transitionService=new o.a(this),this.urlMatcherFactory=new r.b(this),this.urlRouter=new i.a(this),this.urlService=new p.a(this),this.stateRegistry=new s.a(this),this.stateService=new l.a(this),this._plugins={},this.viewService._pluginapi._rootViewContext(this.stateRegistry.root()),this.globals.$current=this.stateRegistry.root(),this.globals.current=this.globals.$current.self,this.disposable(this.globals),this.disposable(this.stateService),this.disposable(this.stateRegistry),this.disposable(this.transitionService),this.disposable(this.urlService),this.disposable(e),this.disposable(t)}return e.prototype.disposable=function(e){this._disposables.push(e)},e.prototype.dispose=function(e){var t=this;e&&Object(d.d)(e.dispose)?e.dispose(this):(this._disposed=!0,this._disposables.slice().forEach((function(e){try{"function"==typeof e.dispose&&e.dispose(t),Object(u.L)(t._disposables,e)}catch(e){}})))},e.prototype.plugin=function(e,t){void 0===t&&(t={});var n=new e(this,t);if(!n.name)throw new Error("Required property `name` missing on plugin: "+n);return this._disposables.push(n),this._plugins[n.name]=n},e.prototype.getPlugin=function(e){return e?this._plugins[e]:Object(u.U)(this._plugins)},e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return s})),n.d(t,"b",(function(){return l}));var r=n(4),i=n(32),o=n(26),a=function(){return(a=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)},s=function(){function e(e){this.router=e}return e.prototype.fromConfig=function(e,t,n){return new o.Param(e,t,o.DefType.CONFIG,this.router.urlService.config,n)},e.prototype.fromPath=function(e,t,n){return new o.Param(e,t,o.DefType.PATH,this.router.urlService.config,n)},e.prototype.fromSearch=function(e,t,n){return new o.Param(e,t,o.DefType.SEARCH,this.router.urlService.config,n)},e}(),l=function(){function e(e){var t=this;this.router=e,this.paramFactory=new s(this.router),this.UrlMatcher=i.a,this.Param=o.Param,this.caseInsensitive=function(e){return 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t=this.router.locationService;e?this.location=t.url():t.url()!==this.location&&t.url(this.location,!0)},e.prototype.push=function(e,t,n){var r=n&&!!n.replace;this.router.urlService.url(e.format(t||{}),r)},e.prototype.href=function(e,t,n){var i=e.format(t);if(null==i)return null;n=n||{absolute:!1};var o=this.router.urlService.config,a=o.html5Mode();if(a||null===i||(i="#"+o.hashPrefix()+i),i=function(e,t,n,i){return"/"===i?e:t?Object(r.Kb)(i)+e:n?i.slice(1)+e:e}(i,a,n.absolute,o.baseHref()),!n.absolute||!i)return i;var s=!a&&i?"/":"",l=o.port(),c=80===l||443===l?"":":"+l;return[o.protocol(),"://",o.host(),c,s,i].join("")},Object.defineProperty(e.prototype,"interceptDeferred",{get:function(){return this.router.urlService.interceptDeferred},enumerable:!1,configurable:!0}),e}()},function(e,t,n){"use strict";n.d(t,"a",(function(){return s}));var r=n(0),i=n(3),o=n(1),a=n(10),s=function(){function e(e){var t=this;this.router=e,this._uiViews=[],this._viewConfigs=[],this._viewConfigFactories={},this._listeners=[],this._pluginapi={_rootViewContext:this._rootViewContext.bind(this),_viewConfigFactory:this._viewConfigFactory.bind(this),_registeredUIView:function(e){return Object(r.t)(t._uiViews,(function(n){return t.router.$id+"."+n.id===e}))},_registeredUIViews:function(){return t._uiViews},_activeViewConfigs:function(){return t._viewConfigs},_onSync:function(e){return t._listeners.push(e),function(){return Object(r.L)(t._listeners,e)}}}}return e.normalizeUIViewTarget=function(e,t){void 0===t&&(t="");var n=t.split("@"),r=n[0]||"$default",i=Object(o.l)(n[1])?n[1]:"^",a=/^(\^(?:\.\^)*)\.(.*$)/.exec(r);a&&(i=a[1],r=a[2]),"!"===r.charAt(0)&&(r=r.substr(1),i="");if(/^(\^(?:\.\^)*)$/.exec(i)){var s=i.split(".").reduce((function(e,t){return e.parent}),e);i=s.name}else"."===i&&(i=e.name);return{uiViewName:r,uiViewContextAnchor:i}},e.prototype._rootViewContext=function(e){return 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t=this;this.router=e,this.interceptDeferred=!1,this.rules=new i.a(this.router),this.config=new o.a(this.router),this.url=function(e,n,r){return t.router.locationService.url(e,n,r)},this.path=function(){return t.router.locationService.path()},this.search=function(){return t.router.locationService.search()},this.hash=function(){return t.router.locationService.hash()},this.onChange=function(e){return t.router.locationService.onChange(e)}}return e.prototype.dispose=function(){this.listen(!1),this.rules.dispose()},e.prototype.parts=function(){return{path:this.path(),search:this.search(),hash:this.hash()}},e.prototype.sync=function(e){if(!e||!e.defaultPrevented){var t=this.router,n=t.urlService,i=t.stateService,o={path:n.path(),search:n.search(),hash:n.hash()},s=this.match(o);Object(r.sb)([[r.cb,function(e){return n.url(e,!0)}],[a.TargetState.isDef,function(e){return i.go(e.state,e.params,e.options)}],[Object(r.Q)(a.TargetState),function(e){return 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@@ -64,39 +64,39 @@
  * Released under MIT license <https://lodash.com/license>
  * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>
  * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors
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"},function(e,t){e.exports="data:image/svg+xml,%3Csvg 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"},function(e,t){e.exports="data:image/svg+xml,%3Csvg 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    </div>\n                    <div class="launcher-actions">\n                        <a\n                            ng-click="showExpanded()"\n                            ng-show="graphService.orientation == \'sidebar\'"\n                            data-large\n                            class="btn btn-text btn-lg btn-icon btn-shadow"\n                            data-toggle="tooltip"\n                            title="View Fullscreen">\n                                <svg class="icn icn-md"><use xlink:href="#icn-expand"></use></svg>\n                        </a>\n                        <a\n                            ng-click="showContracted()"\n                            ng-show="graphService.orientation == \'fullscreen\' && selectorService.getViewNode()"\n                            class="btn btn-text btn-lg btn-icon btn-shadow"\n                            data-toggle="tooltip"\n                            title="View Fullscreen">\n                                <svg class="icn icn-md"><use xlink:href="#icn-contract"></use></svg>\n                        </a>\n                    </div>\n                </div>\n                <div class="launcher-body">\n                    <div class="launcher-embed">\n                        <div ng-controller="GraphCtrl" style="height: 100%" id="graph-viz-wrapper">\n                            <div graph-viz\n                                viz-options="graph.options"\n                                viz-elements="graph.elements"\n                                viz-style="graph.style"\n                                viz-layout="graph.layout"\n                                viz-ready="graph.ready"\n                                viz-rendered="graphRendered"\n                                viz-size="{size: graphService.orientation, expanded: graphService.expanded}"></div>\n                        </div>\n                    </div>\n                </div>\n                <div class="launcher-footer">\n                    <div class="launcher-cell launcher-flush">\n                        <div class="component bg-navy text-navy-lightest margin">\n                            <form class="fields fields-flush launcher-hide-sidebar"\n                                  ng-class="{visible: filters_visible}"\n                                  ng-submit="onUpdateSelector()">\n                                <label class="field">\n                                    <div class="dropdown dropup"\n                                         ng-class="{\'open\': isVisible(\'resource_types\')}"\n                                         data-form-type="resource_types">\n                                        <select\n                                            data-toggle="dropdown"\n                                            class=\'field-input form-control input-dark\'\n                                            ng-click="onSelectClick(\'resource_types\')"\n                                            ng-blur="onSelectBlur(\'resource_types\')">\n                                            <option selected disabled hidden>\n                                                <span>{{ selectionLabel(\'resource_types\') }}</span>\n                                            </option>\n                                        </select>\n                                        <ul\n                                            class="dropdown-menu"\n                                            ng-show="isVisible(\'resource_types\')">\n                                            <li ng-click="onSelectAll(\'resource_types\', !allSelected, $event)">\n                                                <strong class="text-dark">Select All</strong>\n                                                <span ng-show="allSelected">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                            <li\n                                                class=\'text-dark\'\n                                                ng-repeat="item in selectorService.options.resource_types"\n                                                ng-click="onItemSelect(\'resource_types\', item, $event)">\n                                                {{ resourceTypeTitle(item) }}\n                                                <span ng-show="isSelected(\'resource_types\', item)">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                        </ul>\n                                        <div class="field-label">resources</div>\n                                    </div>\n                                </label>\n                                <label class="field">\n                                    <div class="dropdown dropup"\n                                         ng-class="{\'open\': isVisible(\'packages\')}"\n                                         data-form-type="packages">\n                                        <select\n                                            data-toggle="dropdown"\n                                            class=\'field-input form-control input-dark\'\n                                            ng-click="onSelectClick(\'packages\')"\n                                            ng-blur="onSelectBlur(\'packages\')">\n                                            <option selected disabled hidden>\n                                                <span>{{ selectionLabel(\'packages\') }}</span>\n                                            </option>\n                                        </select>\n                                        <ul\n                                            class="dropdown-menu"\n                                            ng-show="isVisible(\'packages\')">\n                                            <li ng-click="onSelectAll(\'packages\', !allSelected, $event)">\n                                                <strong class="text-dark">Select All</strong>\n                                                <span ng-show="allSelected">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                            <li\n                                                class=\'text-dark\'\n                                                ng-repeat="item in selectorService.options.packages"\n                                                ng-click="onItemSelect(\'packages\', item, $event)">\n                                                {{ item }}\n                                                <span ng-show="isSelected(\'packages\', item)">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                        </ul>\n                                        <div class="field-label">packages</div>\n                                    </div>\n                                </label>\n                                <label class="field">\n                                    <div class="dropdown dropup"\n                                         ng-class="{\'open\': isVisible(\'tags\')}"\n                                         data-form-type="tags">\n                                        <select\n                                            data-toggle="dropdown"\n                                            class=\'field-input form-control input-dark\'\n                                            ng-click="onSelectClick(\'tags\')"\n                                            ng-blur="onSelectBlur(\'tags\', $event)">\n                                            <option selected disabled hidden>\n                                                <span>{{ selectionLabel(\'tags\', \'untagged\') }}</span>\n                                            </option>\n                                        </select>\n                                        <ul\n                                            class="dropdown-menu"\n                                            ng-show="isVisible(\'tags\')">\n                                            <li ng-click="onSelectAll(\'tags\', !allSelected, $event)">\n                                                <strong class="text-dark">Select All</strong>\n                                                <span ng-show="allSelected">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                            <li\n                                                class=\'text-dark\'\n                                                ng-repeat="item in selectorService.options.tags"\n                                                ng-click="onItemSelect(\'tags\', item, $event)">\n                                                <span ng-if=\'item == null\'>untagged</span>\n                                                <span ng-if=\'item != null\'>{{ item }}</span>\n                                                <span ng-show="isSelected(\'tags\', item)">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                        </ul>\n                                        <div class="field-label">tags</div>\n                                    </div>\n                                </label>\n                                <label class="field" style="flex: 4 0 160px">\n                                    <input type="text"\n                                           class="field-input form-control input-dark"\n                                           ng-model="selectorService.selection.dirty.include"\n                                           placeholder="..." />\n                                    <div class="field-label">--select</div>\n                                </label>\n                                <label class="field" style="flex: 4 0 160px">\n                                    <input type="text"\n                                           class="field-input form-control input-dark"\n                                           ng-model="selectorService.selection.dirty.exclude"\n                                           placeholder="..." />\n                                    <div class="field-label">--exclude</div>\n                                </label>\n                                <label class="field" style="flex: 0 0 80px">\n                                    <input type="submit"\n                                           id="submit-graph-selection"\n                                           class="field-input form-control input-dark"\n                                           ng-class="{\'dirty-submit\': selectorService.isDirty()}"\n                                           value="Update Graph" />\n                                    <div class="field-label text-center" style="width: 100%"></div>\n                                </label>\n                                <label class="field" style="flex: 0 0 80px">\n                                    <button type="button"\n                                        ng-click="closeGraph()"\n                                        class="field-input form-control input-dark text-center"\n                                        ><svg class="icn icn-md"><use xlink:href="#icn-close"></use></svg>\n                                    </button>\n                                </label>\n                            </form>\n                        </div>\n                    </div>\n                    \x3c!--<div class="launcher-spacer"></div>--\x3e\n                    <div class="launcher-actions" ng-show="graphService.orientation == \'sidebar\'">\n                        <button type="button"\n                            ng-click="closeGraph()"\n                            class="btn btn-text btn-lg btn-icon btn-shadow"\n                            data-toggle="tooltip"\n                            title="Close Graph"><svg class="icn icn-md"><use xlink:href="#icn-close"></use></svg>\n                        </button>\n                    </div>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";n(234);const r=n(236),i=n(21),o=n(31),a=n(237);n(244)(a,o);const 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class="launcher-cell">\n                        <h6>\n                            Lineage Graph\n                        </h6>\n                    </div>\n                    <div class="launcher-actions">\n                        <a\n                            ng-click="showExpanded()"\n                            ng-show="graphService.orientation == \'sidebar\'"\n                            data-large\n                            class="btn btn-text btn-lg btn-icon btn-shadow"\n                            data-toggle="tooltip"\n                            title="View Fullscreen">\n                                <svg class="icn icn-md"><use xlink:href="#icn-expand"></use></svg>\n                        </a>\n                        <a\n                            ng-click="showContracted()"\n                            ng-show="graphService.orientation == \'fullscreen\' && selectorService.getViewNode()"\n                            class="btn btn-text btn-lg btn-icon btn-shadow"\n  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                                                   <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                            <li\n                                                class=\'text-dark\'\n                                                ng-repeat="item in selectorService.options.resource_types"\n                                                ng-click="onItemSelect(\'resource_types\', item, $event)">\n                                                {{ resourceTypeTitle(item) }}\n                                                <span ng-show="isSelected(\'resource_types\', item)">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" 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               </li>\n                                            <li\n                                                class=\'text-dark\'\n                                                ng-repeat="item in selectorService.options.tags"\n                                                ng-click="onItemSelect(\'tags\', item, $event)">\n                                                <span ng-if=\'item == null\'>untagged</span>\n                                                <span ng-if=\'item != null\'>{{ item }}</span>\n                                                <span ng-show="isSelected(\'tags\', item)">\n                                                    <svg class="checked" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path d="M20.285 2l-11.285 11.567-5.286-5.011-3.714 3.716 9 8.728 15-15.285z"/></svg>\n                                                </span>\n                                            </li>\n                                    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                                    placeholder="..." />\n                                    <div class="field-label">--exclude</div>\n                                </label>\n                                <label class="field" style="flex: 0 0 80px">\n                                    <input type="submit"\n                                           id="submit-graph-selection"\n                                           class="field-input form-control input-dark"\n                                           ng-class="{\'dirty-submit\': selectorService.isDirty()}"\n                                           value="Update Graph" />\n                                    <div class="field-label text-center" style="width: 100%"></div>\n                                </label>\n                                <label class="field" style="flex: 0 0 80px">\n                                    <button type="button"\n                                        ng-click="closeGraph()"\n             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e}())[t](n)},stateSelectorRegex:o}},function(e,t,n){"use strict";
 /*!
 Event object based on jQuery events, MIT license
 
 https://jquery.org/license/
 https://tldrlegal.com/license/mit-license
 https://github.com/jquery/jquery/blob/master/src/event.js
-*/var r=function(e,t){this.recycle(e,t)};function i(){return!1}function o(){return!0}r.prototype={instanceString:function(){return"event"},recycle:function(e,t){if(this.isImmediatePropagationStopped=this.isPropagationStopped=this.isDefaultPrevented=i,null!=e&&e.preventDefault?(this.type=e.type,this.isDefaultPrevented=e.defaultPrevented?o:i):null!=e&&e.type?t=e:this.type=e,null!=t&&(this.originalEvent=t.originalEvent,this.type=null!=t.type?t.type:this.type,this.cy=t.cy,this.target=t.target,this.position=t.position,this.renderedPosition=t.renderedPosition,this.namespace=t.namespace,this.layout=t.layout),null!=this.cy&&null!=this.position&&null==this.renderedPosition){var n=this.position,r=this.cy.zoom(),a=this.cy.pan();this.renderedPosition={x:n.x*r+a.x,y:n.y*r+a.y}}this.timeStamp=e&&e.timeStamp||Date.now()},preventDefault:function(){this.isDefaultPrevented=o;var e=this.originalEvent;e&&e.preventDefault&&e.preventDefault()},stopPropagation:function(){this.isPropagationStopped=o;var e=this.originalEvent;e&&e.stopPropagation&&e.stopPropagation()},stopImmediatePropagation:function(){this.isImmediatePropagationStopped=o,this.stopPropagation()},isDefaultPrevented:i,isPropagationStopped:i,isImmediatePropagationStopped:i},e.exports=r},function(e,t,n){"use strict";var r=n(1);e.exports=function(e,t){var n=e.cy().hasCompoundNodes();function i(e){var t=e.pstyle("z-compound-depth");return"auto"===t.value?n?e.zDepth():0:"bottom"===t.value?-1:"top"===t.value?r.MAX_INT:0}var o=i(e)-i(t);if(0!==o)return o;function a(e){return"auto"===e.pstyle("z-index-compare").value&&e.isNode()?1:0}var s=a(e)-a(t);if(0!==s)return s;var l=e.pstyle("z-index").value-t.pstyle("z-index").value;return 0!==l?l:e.poolIndex()-t.poolIndex()}},function(e,t,n){"use strict";var r=n(0),i=n(1),o=n(6),a=function e(t){if(!(this instanceof e))return new e(t);r.core(t)?(this._private={cy:t,coreStyle:{}},this.length=0,this.resetToDefault()):i.error("A style must have a core 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r=this.length-1;this[r].properties.push(n),this[r].properties[n.name]=n,n.name.match(/pie-(\d+)-background-size/)&&n.value&&(this._private.hasPie=!0),n.mapped&&this[r].mappedProperties.push(n),!this[r].selector&&(this._private.coreStyle[n.name]=n)}return this},s.append=function(e){return r.stylesheet(e)?e.appendToStyle(this):r.array(e)?this.appendFromJson(e):r.string(e)&&this.appendFromString(e),this},a.fromJson=function(e,t){var n=new a(e);return n.fromJson(t),n},a.fromString=function(e,t){return new a(e).fromString(t)},[n(85),n(86),n(87),n(88),n(89),n(90),n(91),n(92)].forEach((function(e){i.extend(s,e)})),a.types=s.types,a.properties=s.properties,e.exports=a},function(e,t,n){"use strict";var r=n(1);e.exports={setupDequeueing:function(e){return function(){var t=this,n=this.renderer;if(!t.dequeueingSetup){t.dequeueingSetup=!0;var 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l=i.makeBoundingBox(t.boundingBox?t.boundingBox:{x1:0,y1:0,w:n.width(),h:n.height()}),c=l.x1+l.w/2,u=l.y1+l.h/2,d=(void 0===t.sweep?2*Math.PI-2*Math.PI/s.length:t.sweep)/Math.max(1,s.length-1),f=void 0,p=0,h=0;h<s.length;h++){var g=s[h].layoutDimensions(t),m=g.w,v=g.h;p=Math.max(p,m,v)}if(f=o.number(t.radius)?t.radius:s.length<=1?0:Math.min(l.h,l.w)/2-p,s.length>1&&t.avoidOverlap){p*=1.75;var b=Math.cos(d)-Math.cos(0),y=Math.sin(d)-Math.sin(0),x=Math.sqrt(p*p/(b*b+y*y));f=Math.max(x,f)}return s.layoutPositions(this,t,(function(e,n){var r=t.startAngle+n*d*(a?1:-1),i=f*Math.cos(r),o=f*Math.sin(r);return{x:c+i,y:u+o}})),this},e.exports=s},function(e,t,n){"use strict";var r=n(1),i=n(2),o={fit:!0,padding:30,startAngle:1.5*Math.PI,sweep:void 0,clockwise:!0,equidistant:!1,minNodeSpacing:10,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,height:void 0,width:void 0,spacingFactor:void 0,concentric:function(e){return e.degree()},levelWidth:function(e){return 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k=v.length>0&&v[0].length>1,A=(Math.min(a.w,a.h)/2-w)/(v.length+k?1:0);w=Math.min(w,A)}for(var E=0,S=0;S<v.length;S++){var $=v[S],C=void 0===t.sweep?2*Math.PI-2*Math.PI/$.length:t.sweep,_=$.dTheta=C/Math.max(1,$.length-1);if($.length>1&&t.avoidOverlap){var O=Math.cos(_)-Math.cos(0),j=Math.sin(_)-Math.sin(0),T=Math.sqrt(w*w/(O*O+j*j));E=Math.max(T,E)}$.r=E,E+=w}if(t.equidistant){for(var P=0,D=0,R=0;R<v.length;R++){var I=v[R].r-D;P=Math.max(P,I)}D=0;for(var N=0;N<v.length;N++){var M=v[N];0===N&&(D=M.r),M.r=D,D+=P}}for(var z={},L=0;L<v.length;L++)for(var B=v[L],F=B.dTheta,q=B.r,V=0;V<B.length;V++){var U=B[V],H=t.startAngle+(n?1:-1)*F*V,G={x:s+q*Math.cos(H),y:l+q*Math.sin(H)};z[U.node.id()]=G}return o.layoutPositions(this,t,(function(e){var t=e.id();return z[t]})),this},e.exports=a},function(e,t,n){"use strict";var r,i=n(1),o=n(2),a=n(0),s=n(5),l={ready:function(){},stop:function(){},animate:!0,animationEasing:void 0,animationDuration:void 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c=e.layoutNodes[e.idToIndex[r[l]]];s(a,c,e,t)}},a=function(e){return-e+2*e*Math.random()},s=function(e,t,n,r){if(e.cmptId===t.cmptId||n.isCompound){var i=t.positionX-e.positionX,o=t.positionY-e.positionY;0===i&&0===o&&(i=a(1),o=a(1));var s=l(e,t,i,o);if(s>0)var c=(f=r.nodeOverlap*s)*i/(b=Math.sqrt(i*i+o*o)),d=f*o/b;else{var f,p=u(e,i,o),h=u(t,-1*i,-1*o),g=h.x-p.x,m=h.y-p.y,v=g*g+m*m,b=Math.sqrt(v);c=(f=(e.nodeRepulsion+t.nodeRepulsion)/v)*g/b,d=f*m/b}e.isLocked||(e.offsetX-=c,e.offsetY-=d),t.isLocked||(t.offsetX+=c,t.offsetY+=d)}},l=function(e,t,n,r){if(n>0)var i=e.maxX-t.minX;else i=t.maxX-e.minX;if(r>0)var o=e.maxY-t.minY;else o=t.maxY-e.minY;return i>=0&&o>=0?Math.sqrt(i*i+o*o):0},u=function(e,t,n){var r=e.positionX,i=e.positionY,o=e.height||1,a=e.width||1,s=n/t,l=o/a,c={};return 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u=e.layoutNodes[e.idToIndex[r[c]]];if(!u.isLocked){var d=o-u.positionX,f=a-u.positionY,p=Math.sqrt(d*d+f*f);if(p>1){var h=t.gravity*d/p,g=t.gravity*f/p;u.offsetX+=h,u.offsetY+=g}}}}},p=function(e,t){var n=[],r=0,i=-1;for(n.push.apply(n,e.graphSet[0]),i+=e.graphSet[0].length;r<=i;){var o=n[r++],a=e.idToIndex[o],s=e.layoutNodes[a],l=s.children;if(0<l.length&&!s.isLocked){for(var c=s.offsetX,u=s.offsetY,d=0;d<l.length;d++){var f=e.layoutNodes[e.idToIndex[l[d]]];f.offsetX+=c,f.offsetY+=u,n[++i]=l[d]}s.offsetX=0,s.offsetY=0}}},h=function(e,t){for(var n=0;n<e.nodeSize;n++)0<(i=e.layoutNodes[n]).children.length&&(i.maxX=void 0,i.minX=void 0,i.maxY=void 0,i.minY=void 0);for(n=0;n<e.nodeSize;n++)if(!(0<(i=e.layoutNodes[n]).children.length||i.isLocked)){var r=g(i.offsetX,i.offsetY,e.temperature);i.positionX+=r.x,i.positionY+=r.y,i.offsetX=0,i.offsetY=0,i.minX=i.positionX-i.width,i.maxX=i.positionX+i.width,i.minY=i.positionY-i.height,i.maxY=i.positionY+i.height,m(i,e)}for(n=0;n<e.nodeSize;n++){var i;0<(i=e.layoutNodes[n]).children.length&&!i.isLocked&&(i.positionX=(i.maxX+i.minX)/2,i.positionY=(i.maxY+i.minY)/2,i.width=i.maxX-i.minX,i.height=i.maxY-i.minY)}},g=function(e,t,n){var r=Math.sqrt(e*e+t*t);if(r>n)var i={x:n*e/r,y:n*t/r};else i={x:e,y:t};return i},m=function e(t,n){var r=t.parentId;if(null!=r){var i=n.layoutNodes[n.idToIndex[r]],o=!1;return(null==i.maxX||t.maxX+i.padRight>i.maxX)&&(i.maxX=t.maxX+i.padRight,o=!0),(null==i.minX||t.minX-i.padLeft<i.minX)&&(i.minX=t.minX-i.padLeft,o=!0),(null==i.maxY||t.maxY+i.padBottom>i.maxY)&&(i.maxY=t.maxY+i.padBottom,o=!0),(null==i.minY||t.minY-i.padTop<i.minY)&&(i.minY=t.minY-i.padTop,o=!0),o?e(i,n):void 0}},v=function(e){return 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r=n.eles.edges(),i=n.eles.nodes(),s={isCompound:e.hasCompoundNodes(),layoutNodes:[],idToIndex:{},nodeSize:i.size(),graphSet:[],indexToGraph:[],layoutEdges:[],edgeSize:r.size(),temperature:n.initialTemp,clientWidth:e.width(),clientHeight:e.width(),boundingBox:o.makeBoundingBox(n.boundingBox?n.boundingBox:{x1:0,y1:0,w:e.width(),h:e.height()})},l=n.eles.components(),c={},u=0;u<l.length;u++)for(var f=l[u],p=0;p<f.length;p++)c[f[p].id()]=u;for(u=0;u<s.nodeSize;u++){var h=(y=i[u]).layoutDimensions(n);(I={}).isLocked=y.locked(),I.id=y.data("id"),I.parentId=y.data("parent"),I.cmptId=c[y.id()],I.children=[],I.positionX=y.position("x"),I.positionY=y.position("y"),I.offsetX=0,I.offsetY=0,I.height=h.w,I.width=h.h,I.maxX=I.positionX+I.width/2,I.minX=I.positionX-I.width/2,I.maxY=I.positionY+I.height/2,I.minY=I.positionY-I.height/2,I.padLeft=parseFloat(y.style("padding")),I.padRight=parseFloat(y.style("padding")),I.padTop=parseFloat(y.style("padding")),I.padBottom=parseFloat(y.style("padding")),I.nodeRepulsion=a.fn(n.nodeRepulsion)?n.nodeRepulsion(y):n.nodeRepulsion,s.layoutNodes.push(I),s.idToIndex[I.id]=u}var g=[],m=0,v=-1,b=[];for(u=0;u<s.nodeSize;u++){var y,x=(y=s.layoutNodes[u]).parentId;null!=x?s.layoutNodes[s.idToIndex[x]].children.push(y.id):(g[++v]=y.id,b.push(y.id))}for(s.graphSet.push(b);m<=v;){var w=g[m++],k=s.idToIndex[w],A=s.layoutNodes[k].children;if(A.length>0)for(s.graphSet.push(A),u=0;u<A.length;u++)g[++v]=A[u]}for(u=0;u<s.graphSet.length;u++){var E=s.graphSet[u];for(p=0;p<E.length;p++){var S=s.idToIndex[E[p]];s.indexToGraph[S]=u}}for(u=0;u<s.edgeSize;u++){var $=r[u],C={};C.id=$.data("id"),C.sourceId=$.data("source"),C.targetId=$.data("target");var _=a.fn(n.idealEdgeLength)?n.idealEdgeLength($):n.idealEdgeLength,O=a.fn(n.edgeElasticity)?n.edgeElasticity($):n.edgeElasticity,j=s.idToIndex[C.sourceId],T=s.idToIndex[C.targetId];if(s.indexToGraph[j]!=s.indexToGraph[T]){for(var P=d(C.sourceId,C.targetId,s),D=s.graphSet[P],R=0,I=s.layoutNodes[j];-1===D.indexOf(I.id);)I=s.layoutNodes[s.idToIndex[I.parentId]],R++;for(I=s.layoutNodes[T];-1===D.indexOf(I.id);)I=s.layoutNodes[s.idToIndex[I.parentId]],R++;_*=R*n.nestingFactor}C.idealLength=_,C.elasticity=O,s.layoutEdges.push(C)}return s},d=function(e,t,n){var r=f(e,t,0,n);return 2>r.count?0:r.graph},f=function e(t,n,r,i){var o=i.graphSet[r];if(-1<o.indexOf(t)&&-1<o.indexOf(n))return{count:2,graph:r};for(var a=0,s=0;s<o.length;s++){var l=o[s],c=i.idToIndex[l],u=i.layoutNodes[c].children;if(0!==u.length){var d=e(t,n,i.indexToGraph[i.idToIndex[u[0]]],i);if(0!==d.count){if(1!==d.count)return d;if(2==++a)break}}}return{count:a,graph:r}},p=function(e){if(r){console.debug("layoutNodes:");for(var t=0;t<e.nodeSize;t++){var n=e.layoutNodes[t],i="\nindex: "+t+"\nId: "+n.id+"\nChildren: "+n.children.toString()+"\nparentId: "+n.parentId+"\npositionX: "+n.positionX+"\npositionY: "+n.positionY+"\nOffsetX: "+n.offsetX+"\nOffsetY: "+n.offsetY+"\npadLeft: "+n.padLeft+"\npadRight: "+n.padRight+"\npadTop: "+n.padTop+"\npadBottom: "+n.padBottom;console.debug(i)}for(var t in console.debug("idToIndex"),e.idToIndex)console.debug("Id: "+t+"\nIndex: "+e.idToIndex[t]);console.debug("Graph Set");var o=e.graphSet;for(t=0;t<o.length;t++)console.debug("Set : "+t+": "+o[t].toString());for(i="IndexToGraph",t=0;t<e.indexToGraph.length;t++)i+="\nIndex : "+t+" Graph: "+e.indexToGraph[t];for(console.debug(i),i="Layout Edges",t=0;t<e.layoutEdges.length;t++){var a=e.layoutEdges[t];i+="\nEdge Index: "+t+" ID: "+a.id+" SouceID: "+a.sourceId+" TargetId: "+a.targetId+" Ideal Length: "+a.idealLength}console.debug(i),i="nodeSize: "+e.nodeSize,i+="\nedgeSize: "+e.edgeSize,i+="\ntemperature: "+e.temperature,console.debug(i)}},h=function(e,t){for(var n=e.clientWidth,r=e.clientHeight,i=0;i<e.nodeSize;i++){var o=e.layoutNodes[i];0!==o.children.length||o.isLocked||(o.positionX=Math.random()*n,o.positionY=Math.random()*r)}},g=function(e,t,n){var r=n.layout,i=n.eles.nodes(),o=e.boundingBox,a={x1:1/0,x2:-1/0,y1:1/0,y2:-1/0};n.boundingBox&&(i.forEach((function(t){var n=e.layoutNodes[e.idToIndex[t.data("id")]];a.x1=Math.min(a.x1,n.positionX),a.x2=Math.max(a.x2,n.positionX),a.y1=Math.min(a.y1,n.positionY),a.y2=Math.max(a.y2,n.positionY)})),a.w=a.x2-a.x1,a.h=a.y2-a.y1),i.positions((function(t,r){var i=e.layoutNodes[e.idToIndex[t.data("id")]];if(n.boundingBox){var s=(i.positionX-a.x1)/a.w,l=(i.positionY-a.y1)/a.h;return{x:o.x1+s*o.w,y:o.y1+l*o.h}}return{x:i.positionX,y:i.positionY}})),!0!==e.ready&&(e.ready=!0,r.one("layoutready",n.ready),r.emit({type:"layoutready",layout:this}))};e.exports=c},function(e,t,n){"use strict";var r=n(1),i=n(2),o={fit:!0,padding:30,boundingBox:void 0,avoidOverlap:!0,avoidOverlapPadding:10,nodeDimensionsIncludeLabels:!1,spacingFactor:void 0,condense:!1,rows:void 0,cols:void 0,position:function(e){},sort:void 0,animate:!1,animationDuration:500,animationEasing:void 0,animateFilter:function(e,t){return!0},ready:void 0,stop:void 0,transform:function(e,t){return t}};function 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A=w.layoutDimensions(t),E=t.avoidOverlapPadding,S=A.w+E,$=A.h+E;b=Math.max(b,S),y=Math.max(y,$)}for(var C={},_=function(e,t){return!!C["c-"+e+"-"+t]},O=function(e,t){C["c-"+e+"-"+t]=!0},j=0,T=0,P=function(){++T>=c&&(T=0,j++)},D={},R=0;R<r.length;R++){var I=r[R],N=t.position(I);if(N&&(void 0!==N.row||void 0!==N.col)){var M={row:N.row,col:N.col};if(void 0===M.col)for(M.col=0;_(M.row,M.col);)M.col++;else if(void 0===M.row)for(M.row=0;_(M.row,M.col);)M.row++;D[I.id()]=M,O(M.row,M.col)}}r.layoutPositions(this,t,(function(e,t){var n=void 0,r=void 0;if(e.locked()||e.isParent())return!1;var i=D[e.id()];if(i)n=i.col*b+b/2+o.x1,r=i.row*y+y/2+o.y1;else{for(;_(j,T);)P();n=T*b+b/2+o.x1,r=j*y+y/2+o.y1,O(j,T),P()}return{x:n,y:r}}))}return this},e.exports=a},function(e,t,n){"use strict";var r=n(1),i={ready:function(){},stop:function(){}};function o(e){this.options=r.extend({},i,e)}o.prototype.run=function(){var e=this.options,t=e.eles;return 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r||(r=Math.max(Math.pow(13.37*e,.9),29)*t,n[e+", "+t]=r,r)},e.exports=i},function(e,t,n){"use strict";var r=n(2),i=n(0),o={};function a(e){var t=[];if(null!=e){for(var n=0;n<e.length;n+=2){var r=e[n],i=e[n+1];t.push({x:r,y:i})}return t}}o.findEdgeControlPoints=function(e){if(e&&0!==e.length){for(var t,n,o,a,s,l=this,c=l.cy.hasCompoundNodes(),u={},d=[],f=[],p=0;p<e.length;p++){var h=(Ft=(Bt=e[p])._private).data,g="unbundled-bezier"===(D=Bt.pstyle("curve-style").value)||"segments"===D,m="unbundled-bezier"===D||"bezier"===D;if("none"!==Bt.pstyle("display").value)if("haystack"!==D){var v=h.source,b=h.target;t=v>b?b+"$-$"+v:v+"$-$"+b,g&&(t="unbundled$-$"+h.id);var y=u[t];null==y&&(y=u[t]=[],d.push(t)),y.push(Bt),g&&(y.hasUnbundled=!0),m&&(y.hasBezier=!0)}else f.push(Bt)}for(var x=0;x<d.length;x++){var w=u[t=d[x]];if(w.sort((function(e,t){return e.poolIndex()-t.poolIndex()})),Ht=w[0]._private.source,Gt=w[0]._private.target,!w.hasUnbundled&&Ht.id()>Gt.id()){var k=Ht;Ht=Gt,Gt=k}Wt=Ht.position(),Yt=Gt.position(),Xt=Ht.outerWidth(),Qt=Ht.outerHeight(),Zt=Gt.outerWidth(),Jt=Gt.outerHeight(),n=l.nodeShapes[this.getNodeShape(Ht)],o=l.nodeShapes[this.getNodeShape(Gt)],s=!1;var A={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0},E=Wt.x,S=Wt.y,$=Xt,C=Qt,_=Yt.x,O=Yt.y,j=Zt,T=Jt,P=w.length;for(p=0;p<w.length;p++){var D,R,I=(Vt=(Bt=w[p])._private.rscratch).lastEdgeIndex,N=p,M=Vt.lastNumEdges,z=(g="unbundled-bezier"===(D=Bt.pstyle("curve-style").value)||"segments"===D,Ht.id()!==Bt.source().id()),L=Bt.pstyle("control-point-distances"),B=Bt.pstyle("loop-direction").pfValue,F=Bt.pstyle("loop-sweep").pfValue,q=Bt.pstyle("control-point-weights"),V=L&&q?Math.min(L.value.length,q.value.length):1,U=Bt.pstyle("control-point-step-size").pfValue,H=L?L.pfValue[0]:void 0,G=q.value[0],W=Bt.pstyle("edge-distances").value,Y=Bt.pstyle("segment-weights"),X=Bt.pstyle("segment-distances"),Z=Math.min(Y.pfValue.length,X.pfValue.length),Q=Bt.pstyle("source-endpoint").value,J=Bt.pstyle("target-endpoint").value,K=Bt.pstyle("source-arrow-shape").value,ee=Bt.pstyle("target-arrow-shape").value,te=Bt.pstyle("arrow-scale").value,ne=Bt.pstyle("width").pfValue,re=Vt.lastSrcCtlPtX,ie=Vt.lastSrcCtlPtY,oe=Vt.lastSrcCtlPtW,ae=Vt.lastSrcCtlPtH,se=Vt.lastTgtCtlPtX,le=Vt.lastTgtCtlPtY,ce=Vt.lastTgtCtlPtW,ue=Vt.lastTgtCtlPtH,de=Vt.lastCurveStyle,fe=D,pe=Vt.lastCtrlptDists,he=L?L.strValue:null,ge=Vt.lastCtrlptWs,me=q.strValue,ve=Vt.lastSegmentWs,be=Y.strValue,ye=Vt.lastSegmentDs,xe=X.strValue,we=Vt.lastStepSize,ke=U,Ae=Vt.lastLoopDir,Ee=B,Se=Vt.lastLoopSwp,$e=F,Ce=Vt.lastEdgeDistances,_e=W,Oe=Vt.lastSrcEndpt,je=Q,Te=Vt.lastTgtEndpt,Pe=J,De=Vt.lastSrcArr,Re=K,Ie=Vt.lastTgtArr,Ne=ee,Me=Vt.lastLineW,ze=ne,Le=Vt.lastArrScl,Be=te;if(Vt.badBezier=!!s,re===E&&ie===S&&oe===$&&ae===C&&se===_&&le===O&&ce===j&&ue===T&&de===fe&&pe===he&&ge===me&&ve===be&&ye===xe&&we===ke&&Ae===Ee&&Se===$e&&Ce===_e&&Oe===je&&Te===Pe&&De===Re&&Ie===Ne&&Me===ze&&Le===Be&&(I===N&&M===P||g)?R=!0:(R=!1,Vt.lastSrcCtlPtX=E,Vt.lastSrcCtlPtY=S,Vt.lastSrcCtlPtW=$,Vt.lastSrcCtlPtH=C,Vt.lastTgtCtlPtX=_,Vt.lastTgtCtlPtY=O,Vt.lastTgtCtlPtW=j,Vt.lastTgtCtlPtH=T,Vt.lastEdgeIndex=N,Vt.lastNumEdges=P,Vt.lastCurveStyle=fe,Vt.lastCtrlptDists=he,Vt.lastCtrlptWs=me,Vt.lastSegmentDs=xe,Vt.lastSegmentWs=be,Vt.lastStepSize=ke,Vt.lastLoopDir=Ee,Vt.lastLoopSwp=$e,Vt.lastEdgeDistances=_e,Vt.lastSrcEndpt=je,Vt.lastTgtEndpt=Pe,Vt.lastSrcArr=Re,Vt.lastTgtArr=Ne,Vt.lastLineW=ze,Vt.lastArrScl=Be),!R){if(!w.calculatedIntersection&&Ht!==Gt&&(w.hasBezier||w.hasUnbundled)){w.calculatedIntersection=!0;var Fe=n.intersectLine(Wt.x,Wt.y,Xt,Qt,Yt.x,Yt.y,0);w.srcIntn=Fe;var qe=o.intersectLine(Yt.x,Yt.y,Zt,Jt,Wt.x,Wt.y,0);w.tgtIntn=qe;var Ve={x1:Fe[0],x2:qe[0],y1:Fe[1],y2:qe[1]},Ue={x1:Wt.x,x2:Yt.x,y1:Wt.y,y2:Yt.y},He=qe[1]-Fe[1],Ge=qe[0]-Fe[0],We=Math.sqrt(Ge*Ge+He*He),Ye={x:Ge,y:He},Xe={x:Ye.x/We,y:Ye.y/We};a={x:-Xe.y,y:Xe.x},o.checkPoint(Fe[0],Fe[1],0,Zt,Jt,Yt.x,Yt.y)&&n.checkPoint(qe[0],qe[1],0,Xt,Qt,Wt.x,Wt.y)&&(a={},s=!0)}if(z?(Vt.srcIntn=w.tgtIntn,Vt.tgtIntn=w.srcIntn):(Vt.srcIntn=w.srcIntn,Vt.tgtIntn=w.tgtIntn),Ht===Gt){Vt.edgeType="self";var Ze=p,Qe=U;g&&(Ze=0,Qe=H);var Je=B-Math.PI/2,Ke=Je-F/2,et=Je+F/2,tt=String(B+"_"+F);Ze=void 0===A[tt]?A[tt]=0:++A[tt],Vt.ctrlpts=[Wt.x+1.4*Math.cos(Ke)*Qe*(Ze/3+1),Wt.y+1.4*Math.sin(Ke)*Qe*(Ze/3+1),Wt.x+1.4*Math.cos(et)*Qe*(Ze/3+1),Wt.y+1.4*Math.sin(et)*Qe*(Ze/3+1)]}else if(c&&(Ht.isParent()||Ht.isChild()||Gt.isParent()||Gt.isChild())&&(Ht.parents().anySame(Gt)||Gt.parents().anySame(Ht))){Vt.edgeType="compound",Vt.badBezier=!1,Ze=p,Qe=U,g&&(Ze=0,Qe=H);var nt={x:Wt.x-Xt/2,y:Wt.y-Qt/2},rt={x:Yt.x-Zt/2,y:Yt.y-Jt/2},it={x:Math.min(nt.x,rt.x),y:Math.min(nt.y,rt.y)},ot=Math.max(.5,Math.log(.01*Xt)),at=Math.max(.5,Math.log(.01*Zt));Vt.ctrlpts=[it.x,it.y-(1+Math.pow(50,1.12)/100)*Qe*(Ze/3+1)*ot,it.x-(1+Math.pow(50,1.12)/100)*Qe*(Ze/3+1)*at,it.y]}else if("segments"===D){Vt.edgeType="segments",Vt.segpts=[];for(var st=0;st<Z;st++){var lt=Y.pfValue[st],ct=X.pfValue[st],ut=1-lt,dt=lt,ft={x:(bt="node-position"===W?Ue:Ve).x1*ut+bt.x2*dt,y:bt.y1*ut+bt.y2*dt};Vt.segpts.push(ft.x+a.x*ct,ft.y+a.y*ct)}}else if(w.length%2!=1||p!==Math.floor(w.length/2)||g){var pt=g;Vt.edgeType=pt?"multibezier":"bezier",Vt.ctrlpts=[];for(var ht=0;ht<V;ht++){var gt,mt=(.5-w.length/2+p)*U,vt=r.signum(mt);pt&&(H=L?L.pfValue[ht]:U,G=q.value[ht]);var bt,yt=void 0!==(gt=g?H:void 0!==H?vt*H:void 0)?gt:mt;ut=1-G,dt=G,z&&(k=ut,ut=dt,dt=k),ft={x:(bt="node-position"===W?Ue:Ve).x1*ut+bt.x2*dt,y:bt.y1*ut+bt.y2*dt},Vt.ctrlpts.push(ft.x+a.x*yt,ft.y+a.y*yt)}}else Vt.edgeType="straight";this.findEndpoints(Bt);var xt=!i.number(Vt.startX)||!i.number(Vt.startY),wt=!i.number(Vt.arrowStartX)||!i.number(Vt.arrowStartY),kt=!i.number(Vt.endX)||!i.number(Vt.endY),At=!i.number(Vt.arrowEndX)||!i.number(Vt.arrowEndY),Et=this.getArrowWidth(Bt.pstyle("width").pfValue,Bt.pstyle("arrow-scale").value)*this.arrowShapeWidth*3;if("bezier"===Vt.edgeType){var St=r.dist({x:Vt.ctrlpts[0],y:Vt.ctrlpts[1]},{x:Vt.startX,y:Vt.startY}),$t=St<Et,Ct=r.dist({x:Vt.ctrlpts[0],y:Vt.ctrlpts[1]},{x:Vt.endX,y:Vt.endY}),_t=Ct<Et,Ot=!1;if(xt||wt||$t){Ot=!0;var jt={x:Vt.ctrlpts[0]-Wt.x,y:Vt.ctrlpts[1]-Wt.y},Tt=Math.sqrt(jt.x*jt.x+jt.y*jt.y),Pt={x:jt.x/Tt,y:jt.y/Tt},Dt=Math.max(Xt,Qt),Rt={x:Vt.ctrlpts[0]+2*Pt.x*Dt,y:Vt.ctrlpts[1]+2*Pt.y*Dt},It=n.intersectLine(Wt.x,Wt.y,Xt,Qt,Rt.x,Rt.y,0);$t?(Vt.ctrlpts[0]=Vt.ctrlpts[0]+Pt.x*(Et-St),Vt.ctrlpts[1]=Vt.ctrlpts[1]+Pt.y*(Et-St)):(Vt.ctrlpts[0]=It[0]+Pt.x*Et,Vt.ctrlpts[1]=It[1]+Pt.y*Et)}if(kt||At||_t){Ot=!0,jt={x:Vt.ctrlpts[0]-Yt.x,y:Vt.ctrlpts[1]-Yt.y},Tt=Math.sqrt(jt.x*jt.x+jt.y*jt.y),Pt={x:jt.x/Tt,y:jt.y/Tt},Dt=Math.max(Xt,Qt),Rt={x:Vt.ctrlpts[0]+2*Pt.x*Dt,y:Vt.ctrlpts[1]+2*Pt.y*Dt};var Nt=o.intersectLine(Yt.x,Yt.y,Zt,Jt,Rt.x,Rt.y,0);_t?(Vt.ctrlpts[0]=Vt.ctrlpts[0]+Pt.x*(Et-Ct),Vt.ctrlpts[1]=Vt.ctrlpts[1]+Pt.y*(Et-Ct)):(Vt.ctrlpts[0]=Nt[0]+Pt.x*Et,Vt.ctrlpts[1]=Nt[1]+Pt.y*Et)}Ot&&this.findEndpoints(Bt)}if("multibezier"===Vt.edgeType||"bezier"===Vt.edgeType||"self"===Vt.edgeType||"compound"===Vt.edgeType){for(Vt.allpts=[],Vt.allpts.push(Vt.startX,Vt.startY),ht=0;ht+1<Vt.ctrlpts.length;ht+=2)Vt.allpts.push(Vt.ctrlpts[ht],Vt.ctrlpts[ht+1]),ht+3<Vt.ctrlpts.length&&Vt.allpts.push((Vt.ctrlpts[ht]+Vt.ctrlpts[ht+2])/2,(Vt.ctrlpts[ht+1]+Vt.ctrlpts[ht+3])/2);var Mt;Vt.allpts.push(Vt.endX,Vt.endY),Vt.ctrlpts.length/2%2==0?(Mt=Vt.allpts.length/2-1,Vt.midX=Vt.allpts[Mt],Vt.midY=Vt.allpts[Mt+1]):(Mt=Vt.allpts.length/2-3,Vt.midX=r.qbezierAt(Vt.allpts[Mt],Vt.allpts[Mt+2],Vt.allpts[Mt+4],.5),Vt.midY=r.qbezierAt(Vt.allpts[Mt+1],Vt.allpts[Mt+3],Vt.allpts[Mt+5],.5))}else if("straight"===Vt.edgeType)Vt.allpts=[Vt.startX,Vt.startY,Vt.endX,Vt.endY],Vt.midX=(Vt.startX+Vt.endX+Vt.arrowStartX+Vt.arrowEndX)/4,Vt.midY=(Vt.startY+Vt.endY+Vt.arrowStartY+Vt.arrowEndY)/4;else if("segments"===Vt.edgeType)if(Vt.allpts=[],Vt.allpts.push(Vt.startX,Vt.startY),Vt.allpts.push.apply(Vt.allpts,Vt.segpts),Vt.allpts.push(Vt.endX,Vt.endY),Vt.segpts.length%4==0){var zt=Vt.segpts.length/2,Lt=zt-2;Vt.midX=(Vt.segpts[Lt]+Vt.segpts[zt])/2,Vt.midY=(Vt.segpts[Lt+1]+Vt.segpts[zt+1])/2}else Lt=Vt.segpts.length/2-1,Vt.midX=Vt.segpts[Lt],Vt.midY=Vt.segpts[Lt+1];this.storeEdgeProjections(Bt),this.calculateArrowAngles(Bt)}this.recalculateEdgeLabelProjections(Bt),this.calculateLabelAngles(Bt)}}for(p=0;p<f.length;p++){var Bt,Ft,qt=(Ft=(Bt=f[p])._private).rscratch,Vt=qt;if(!qt.haystack){var Ut=2*Math.random()*Math.PI;qt.source={x:Math.cos(Ut),y:Math.sin(Ut)},Ut=2*Math.random()*Math.PI,qt.target={x:Math.cos(Ut),y:Math.sin(Ut)}}var Ht=Ft.source,Gt=Ft.target,Wt=Ht.position(),Yt=Gt.position(),Xt=Ht.width(),Zt=Gt.width(),Qt=Ht.height(),Jt=Gt.height(),Kt=(Dt=Bt.pstyle("haystack-radius").value)/2;Vt.haystackPts=Vt.allpts=[Vt.source.x*Xt*Kt+Wt.x,Vt.source.y*Qt*Kt+Wt.y,Vt.target.x*Zt*Kt+Yt.x,Vt.target.y*Jt*Kt+Yt.y],Vt.midX=(Vt.allpts[0]+Vt.allpts[2])/2,Vt.midY=(Vt.allpts[1]+Vt.allpts[3])/2,qt.edgeType=qt.lastCurveStyle="haystack",qt.haystack=!0,this.storeEdgeProjections(Bt),this.calculateArrowAngles(Bt),this.recalculateEdgeLabelProjections(Bt),this.calculateLabelAngles(Bt)}}},o.getSegmentPoints=function(e){var t=e[0]._private.rscratch;if("segments"===t.edgeType)return a(t.segpts)},o.getControlPoints=function(e){var t=e[0]._private.rscratch,n=t.edgeType;if("bezier"===n||"multibezier"===n||"self"===n||"compound"===n)return a(t.ctrlpts)},o.getEdgeMidpoint=function(e){var t=e[0]._private.rscratch;return{x:t.midX,y:t.midY}},e.exports=o},function(e,t,n){"use strict";var r=n(2),i=n(0),o={manualEndptToPx:function(e,t){var n=e.position(),r=e.outerWidth(),i=e.outerHeight();if(2===t.value.length){var o=[t.pfValue[0],t.pfValue[1]];return"%"===t.units[0]&&(o[0]=o[0]*r),"%"===t.units[1]&&(o[1]=o[1]*i),o[0]+=n.x,o[1]+=n.y,o}var a=t.pfValue[0];a=-Math.PI/2+a;var s=2*Math.max(r,i),l=[n.x+Math.cos(a)*s,n.y+Math.sin(a)*s];return this.nodeShapes[this.getNodeShape(e)].intersectLine(n.x,n.y,r,i,l[0],l[1],0)},findEndpoints:function(e){var t=this,n=void 0,o=e.source()[0],a=e.target()[0],s=o.position(),l=a.position(),c=e.pstyle("target-arrow-shape").value,u=e.pstyle("source-arrow-shape").value,d=e.pstyle("target-distance-from-node").pfValue,f=e.pstyle("source-distance-from-node").pfValue,p=e._private.rscratch,h=p.edgeType,g="self"===h||"compound"===h,m="bezier"===h||"multibezier"===h||g,v="bezier"!==h,b="straight"===h||"segments"===h,y="segments"===h,x=m||v||b,w=e.pstyle("source-endpoint"),k=g?"outside-to-node":w.value,A=e.pstyle("target-endpoint"),E=g?"outside-to-node":A.value;p.srcManEndpt=w,p.tgtManEndpt=A;var S=void 0,$=void 0,C=void 0,_=void 0;if(m){var O=[p.ctrlpts[0],p.ctrlpts[1]];S=v?[p.ctrlpts[p.ctrlpts.length-2],p.ctrlpts[p.ctrlpts.length-1]]:O,$=O}else if(b){var j=y?p.segpts.slice(0,2):[l.x,l.y];S=y?p.segpts.slice(p.segpts.length-2):[s.x,s.y],$=j}"inside-to-node"===E?n=[l.x,l.y]:A.units?n=this.manualEndptToPx(a,A):"outside-to-line"===E?n=p.tgtIntn:("outside-to-node"===E?C=S:"outside-to-line"===E&&(C=[s.x,s.y]),n=t.nodeShapes[this.getNodeShape(a)].intersectLine(l.x,l.y,a.outerWidth(),a.outerHeight(),C[0],C[1],0));var T=r.shortenIntersection(n,S,t.arrowShapes[c].spacing(e)+d),P=r.shortenIntersection(n,S,t.arrowShapes[c].gap(e)+d);e.hasClass("horizontal")?(p.endX=n[0]-d,p.endY=n[1],p.arrowEndX=n[0]-d/2,p.arrowEndY=n[1]):e.hasClass("vertical")?(p.endX=n[0],p.endY=n[1]-d,p.arrowEndX=n[0],p.arrowEndY=n[1]-d/2):(p.endX=P[0],p.endY=P[1],p.arrowEndX=T[0],p.arrowEndY=T[1]),"inside-to-node"===k?n=[s.x,s.y]:w.units?n=this.manualEndptToPx(o,w):"outside-to-line"===k?n=p.srcIntn:("outside-to-node"===k?_=$:"outside-to-line"===k&&(_=[l.x,l.y]),n=t.nodeShapes[this.getNodeShape(o)].intersectLine(s.x,s.y,o.outerWidth(),o.outerHeight(),_[0],_[1],0));var D=r.shortenIntersection(n,$,t.arrowShapes[u].spacing(e)+f),R=r.shortenIntersection(n,$,t.arrowShapes[u].gap(e)+f);p.startX=R[0],p.startY=R[1],p.arrowStartX=D[0],p.arrowStartY=D[1],x&&(i.number(p.startX)&&i.number(p.startY)&&i.number(p.endX)&&i.number(p.endY)?p.badLine=!1:p.badLine=!0)},getSourceEndpoint:function(e){var t=e[0]._private.rscratch;switch(t.edgeType){case"haystack":return{x:t.haystackPts[0],y:t.haystackPts[1]};default:return{x:t.arrowStartX,y:t.arrowStartY}}},getTargetEndpoint:function(e){var t=e[0]._private.rscratch;switch(t.edgeType){case"haystack":return{x:t.haystackPts[2],y:t.haystackPts[3]};default:return{x:t.arrowEndX,y:t.arrowEndY}}}};e.exports=o},function(e,t,n){"use strict";var r=n(2),i={};function o(e,t,n){for(var i=function(e,t,n,i){return r.qbezierAt(e,t,n,i)},o=t._private.rstyle.bezierPts,a=0;a<e.bezierProjPcts.length;a++){var s=e.bezierProjPcts[a];o.push({x:i(n[0],n[2],n[4],s),y:i(n[1],n[3],n[5],s)})}}i.storeEdgeProjections=function(e){var t=e._private,n=t.rscratch,r=n.edgeType;if(t.rstyle.bezierPts=null,t.rstyle.linePts=null,t.rstyle.haystackPts=null,"multibezier"===r||"bezier"===r||"self"===r||"compound"===r){t.rstyle.bezierPts=[];for(var i=0;i+5<n.allpts.length;i+=4)o(this,e,n.allpts.slice(i,i+6))}else if("segments"===r){var a=t.rstyle.linePts=[];for(i=0;i+1<n.allpts.length;i+=2)a.push({x:n.allpts[i],y:n.allpts[i+1]})}else if("haystack"===r){var s=n.haystackPts;t.rstyle.haystackPts=[{x:s[0],y:s[1]},{x:s[2],y:s[3]}]}t.rstyle.arrowWidth=this.getArrowWidth(e.pstyle("width").pfValue,e.pstyle("arrow-scale").value)*this.arrowShapeWidth},i.recalculateEdgeProjections=function(e){this.findEdgeControlPoints(e)},e.exports=i},function(e,t,n){"use strict";var r=n(2),i=n(0),o=n(1),a={recalculateNodeLabelProjection:function(e){var t=e.pstyle("label").strValue;if(!i.emptyString(t)){var n,r,o=e._private,a=e.width(),s=e.height(),l=e.padding(),c=e.position(),u=e.pstyle("text-halign").strValue,d=e.pstyle("text-valign").strValue,f=o.rscratch,p=o.rstyle;switch(u){case"left":n=c.x-a/2-l;break;case"right":n=c.x+a/2+l;break;default:n=c.x}switch(d){case"top":r=c.y-s/2-l;break;case"bottom":r=c.y+s/2+l;break;default:r=c.y}f.labelX=n,f.labelY=r,p.labelX=n,p.labelY=r,this.applyLabelDimensions(e)}},recalculateEdgeLabelProjections:function(e){var t,n=e._private,i=n.rscratch,a=this,s={mid:e.pstyle("label").strValue,source:e.pstyle("source-label").strValue,target:e.pstyle("target-label").strValue};if(s.mid||s.source||s.target){t={x:i.midX,y:i.midY};var l=function(e,t,r){o.setPrefixedProperty(n.rscratch,e,t,r),o.setPrefixedProperty(n.rstyle,e,t,r)};l("labelX",null,t.x),l("labelY",null,t.y);var c=function(o){var c,u="source"===o;if(s[o]){var d=e.pstyle(o+"-text-offset").pfValue,f=function(e,t){var n=t.x-e.x,r=t.y-e.y;return 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if(1!=m[4]||null!=x&&!x.isEdge()){if(x&&x.isEdge()&&x.active()&&x.unactivate(),x&&x.grabbed()||v==y||(y&&t(y,["mouseout","tapdragout"],i,{position:{x:p[0],y:p[1]}}),v&&t(v,["mouseover","tapdragover"],i,{position:{x:p[0],y:p[1]}}),e.hoverData.last=v),x)if(b){if(l.boxSelectionEnabled()&&C)x&&x.grabbed()&&(f(k),x.emit("free")),_();else if(x&&x.grabbed()&&e.nodeIsDraggable(x)){var D=!e.dragData.didDrag;D&&e.redrawHint("eles",!0),e.dragData.didDrag=!0;var R=[];e.hoverData.draggingEles||u(l.collection(k),{inDragLayer:!0});for(var I=0;I<k.length;I++){var N=k[I];if(e.nodeIsDraggable(N)&&N.grabbed()){var M=N.position();if(R.push(N),r.number(w[0])&&r.number(w[1])&&(M.x+=w[0],M.y+=w[1],D)){var z=e.hoverData.dragDelta;z&&r.number(z[0])&&r.number(z[1])&&(M.x+=z[0],M.y+=z[1])}}}e.hoverData.draggingEles=!0;var L=l.collection(R);L.dirtyCompoundBoundsCache(),L.emit("position drag"),e.redrawHint("drag",!0),e.redraw()}}else!function(){var t=e.hoverData.dragDelta=e.hoverData.dragDelta||[];0===t.length?(t.push(w[0]),t.push(w[1])):(t[0]+=w[0],t[1]+=w[1])}();s=!0}else b&&(e.hoverData.dragging||!l.boxSelectionEnabled()||!C&&l.panningEnabled()&&l.userPanningEnabled()?!e.hoverData.selecting&&l.panningEnabled()&&l.userPanningEnabled()&&a(x,e.hoverData.downs)&&(e.hoverData.dragging=!0,e.hoverData.justStartedPan=!0,m[4]=0,e.data.bgActivePosistion=o.array2point(h),e.redrawHint("select",!0),e.redraw()):_(),x&&x.isEdge()&&x.active()&&x.unactivate());return m[2]=p[0],m[3]=p[1],s?(i.stopPropagation&&i.stopPropagation(),i.preventDefault&&i.preventDefault(),!1):void 0}}),!1),e.registerBinding(window,"mouseup",(function(r){if(e.hoverData.capture){e.hoverData.capture=!1;var i=e.cy,o=e.projectIntoViewport(r.clientX,r.clientY),a=e.selection,s=e.findNearestElement(o[0],o[1],!0,!1),l=e.dragData.possibleDragElements,c=e.hoverData.down,u=n(r);if(e.data.bgActivePosistion&&(e.redrawHint("select",!0),e.redraw()),e.hoverData.tapholdCancelled=!0,e.data.bgActivePosistion=void 0,c&&c.unactivate(),3===e.hoverData.which){var d={originalEvent:r,type:"cxttapend",position:{x:o[0],y:o[1]}};if(c?c.emit(d):i.emit(d),!e.hoverData.cxtDragged){var p={originalEvent:r,type:"cxttap",position:{x:o[0],y:o[1]}};c?c.emit(p):i.emit(p)}e.hoverData.cxtDragged=!1,e.hoverData.which=null}else if(1===e.hoverData.which){if(null!=c||e.dragData.didDrag||e.hoverData.selecting||e.hoverData.dragged||n(r)||(i.$((function(e){return e.selected()})).unselect(),l.length>0&&e.redrawHint("eles",!0),e.dragData.possibleDragElements=l=[]),t(s,["mouseup","tapend","vmouseup"],r,{position:{x:o[0],y:o[1]}}),e.dragData.didDrag||e.hoverData.dragged||e.hoverData.selecting||e.hoverData.isOverThresholdDrag||t(c,["click","tap","vclick"],r,{position:{x:o[0],y:o[1]}}),s!=c||e.dragData.didDrag||e.hoverData.selecting||null!=s&&s._private.selectable&&(e.hoverData.dragging||("additive"===i.selectionType()||u?s.selected()?s.unselect():s.select():u||(i.$(":selected").unmerge(s).unselect(),s.select())),e.redrawHint("eles",!0)),e.hoverData.selecting){var h=i.collection(e.getAllInBox(a[0],a[1],a[2],a[3]));e.redrawHint("select",!0),h.length>0&&e.redrawHint("eles",!0),i.emit("boxend");var g=function(e){return e.selectable()&&!e.selected()};"additive"===i.selectionType()||u||i.$(":selected").unmerge(h).unselect(),h.emit("box").stdFilter(g).select().emit("boxselect"),e.redraw()}if(e.hoverData.dragging&&(e.hoverData.dragging=!1,e.redrawHint("select",!0),e.redrawHint("eles",!0),e.redraw()),!a[4]){e.redrawHint("drag",!0),e.redrawHint("eles",!0);var m=c&&c.grabbed();f(l),m&&c.emit("free")}}a[4]=0,e.hoverData.down=null,e.hoverData.cxtStarted=!1,e.hoverData.draggingEles=!1,e.hoverData.selecting=!1,e.hoverData.isOverThresholdDrag=!1,e.dragData.didDrag=!1,e.hoverData.dragged=!1,e.hoverData.dragDelta=[],e.hoverData.mdownPos=null,e.hoverData.mdownGPos=null}}),!1),e.registerBinding(e.container,"wheel",(function(t){if(!e.scrollingPage){var n,r=e.cy,i=e.projectIntoViewport(t.clientX,t.clientY),o=[i[0]*r.zoom()+r.pan().x,i[1]*r.zoom()+r.pan().y];e.hoverData.draggingEles||e.hoverData.dragging||e.hoverData.cxtStarted||0!==e.selection[4]?t.preventDefault():r.panningEnabled()&&r.userPanningEnabled()&&r.zoomingEnabled()&&r.userZoomingEnabled()&&(t.preventDefault(),e.data.wheelZooming=!0,clearTimeout(e.data.wheelTimeout),e.data.wheelTimeout=setTimeout((function(){e.data.wheelZooming=!1,e.redrawHint("eles",!0),e.redraw()}),150),n=null!=t.deltaY?t.deltaY/-250:null!=t.wheelDeltaY?t.wheelDeltaY/1e3:t.wheelDelta/1e3,n*=e.wheelSensitivity,1===t.deltaMode&&(n*=33),r.zoom({level:r.zoom()*Math.pow(10,n),renderedPosition:{x:o[0],y:o[1]}}))}}),!0),e.registerBinding(window,"scroll",(function(t){e.scrollingPage=!0,clearTimeout(e.scrollingPageTimeout),e.scrollingPageTimeout=setTimeout((function(){e.scrollingPage=!1}),250)}),!0),e.registerBinding(e.container,"mouseout",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseout",position:{x:n[0],y:n[1]}})}),!1),e.registerBinding(e.container,"mouseover",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseover",position:{x:n[0],y:n[1]}})}),!1);var T,P,D,R,I=function(e,t,n,r){return Math.sqrt((n-e)*(n-e)+(r-t)*(r-t))},N=function(e,t,n,r){return(n-e)*(n-e)+(r-t)*(r-t)};if(e.registerBinding(e.container,"touchstart",T=function(n){if(j(n)){e.touchData.capture=!0,e.data.bgActivePosistion=void 0;var r=e.cy,i=e.touchData.now,o=e.touchData.earlier;if(n.touches[0]){var a=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);i[0]=a[0],i[1]=a[1]}if(n.touches[1]&&(a=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),i[2]=a[0],i[3]=a[1]),n.touches[2]&&(a=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),i[4]=a[0],i[5]=a[1]),n.touches[1]){f(e.dragData.touchDragEles);var s=e.findContainerClientCoords();S=s[0],$=s[1],C=s[2],_=s[3],v=n.touches[0].clientX-S,b=n.touches[0].clientY-$,y=n.touches[1].clientX-S,x=n.touches[1].clientY-$,O=0<=v&&v<=C&&0<=y&&y<=C&&0<=b&&b<=_&&0<=x&&x<=_;var c=r.pan(),p=r.zoom();if(w=I(v,b,y,x),k=N(v,b,y,x),E=[((A=[(v+y)/2,(b+x)/2])[0]-c.x)/p,(A[1]-c.y)/p],k<4e4&&!n.touches[2]){var h=e.findNearestElement(i[0],i[1],!0,!0),g=e.findNearestElement(i[2],i[3],!0,!0);return h&&h.isNode()?(h.activate().emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=h):g&&g.isNode()?(g.activate().emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=g):r.emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!0,e.touchData.cxtDragged=!1,e.data.bgActivePosistion=void 0,void e.redraw()}}if(n.touches[2]);else if(n.touches[1]);else if(n.touches[0]){var m=e.findNearestElements(i[0],i[1],!0,!0),T=m[0];if(null!=T&&(T.activate(),e.touchData.start=T,e.touchData.starts=m,e.nodeIsGrabbable(T))){var P=e.dragData.touchDragEles=[],D=null;e.redrawHint("eles",!0),e.redrawHint("drag",!0),T.selected()?(D=r.$((function(t){return t.selected()&&e.nodeIsGrabbable(t)})),u(D,{addToList:P})):d(T,{addToList:P}),l(T);var R=function(e){return{originalEvent:n,type:e,position:{x:i[0],y:i[1]}}};T.emit(R("grabon")),D?D.forEach((function(e){e.emit(R("grab"))})):T.emit(R("grab"))}t(T,["touchstart","tapstart","vmousedown"],n,{position:{x:i[0],y:i[1]}}),null==T&&(e.data.bgActivePosistion={x:a[0],y:a[1]},e.redrawHint("select",!0),e.redraw()),e.touchData.singleTouchMoved=!1,e.touchData.singleTouchStartTime=+new Date,clearTimeout(e.touchData.tapholdTimeout),e.touchData.tapholdTimeout=setTimeout((function(){!1!==e.touchData.singleTouchMoved||e.pinching||e.touchData.selecting||(t(e.touchData.start,["taphold"],n,{position:{x:i[0],y:i[1]}}),e.touchData.start||r.$(":selected").unselect())}),e.tapholdDuration)}if(n.touches.length>=1){for(var M=e.touchData.startPosition=[],z=0;z<i.length;z++)M[z]=o[z]=i[z];var L=n.touches[0];e.touchData.startGPosition=[L.clientX,L.clientY]}}},!1),e.registerBinding(window,"touchmove",P=function(n){var i=e.touchData.capture;if(i||j(n)){var s=e.selection,l=e.cy,c=e.touchData.now,d=e.touchData.earlier,p=l.zoom();if(n.touches[0]){var h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);c[0]=h[0],c[1]=h[1]}n.touches[1]&&(h=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),c[2]=h[0],c[3]=h[1]),n.touches[2]&&(h=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),c[4]=h[0],c[5]=h[1]);var g,m=e.touchData.startGPosition;if(i&&n.touches[0]&&m){for(var A=[],C=0;C<c.length;C++)A[C]=c[C]-d[C];var _=n.touches[0].clientX-m[0],T=_*_,P=n.touches[0].clientY-m[1];g=T+P*P>=e.touchTapThreshold2}if(i&&e.touchData.cxt){n.preventDefault();var D=n.touches[0].clientX-S,R=n.touches[0].clientY-$,M=n.touches[1].clientX-S,z=n.touches[1].clientY-$,L=N(D,R,M,z);if(L/k>=2.25||L>=22500){e.touchData.cxt=!1,e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var B={originalEvent:n,type:"cxttapend",position:{x:c[0],y:c[1]}};e.touchData.start?(e.touchData.start.unactivate().emit(B),e.touchData.start=null):l.emit(B)}}if(i&&e.touchData.cxt){B={originalEvent:n,type:"cxtdrag",position:{x:c[0],y:c[1]}},e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),e.touchData.start?e.touchData.start.emit(B):l.emit(B),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxtDragged=!0;var F=e.findNearestElement(c[0],c[1],!0,!0);e.touchData.cxtOver&&F===e.touchData.cxtOver||(e.touchData.cxtOver&&e.touchData.cxtOver.emit({originalEvent:n,type:"cxtdragout",position:{x:c[0],y:c[1]}}),e.touchData.cxtOver=F,F&&F.emit({originalEvent:n,type:"cxtdragover",position:{x:c[0],y:c[1]}}))}else if(i&&n.touches[2]&&l.boxSelectionEnabled())n.preventDefault(),e.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,e.touchData.selecting||l.emit("boxstart"),e.touchData.selecting=!0,e.redrawHint("select",!0),s&&0!==s.length&&void 0!==s[0]?(s[2]=(c[0]+c[2]+c[4])/3,s[3]=(c[1]+c[3]+c[5])/3):(s[0]=(c[0]+c[2]+c[4])/3,s[1]=(c[1]+c[3]+c[5])/3,s[2]=(c[0]+c[2]+c[4])/3+1,s[3]=(c[1]+c[3]+c[5])/3+1),s[4]=1,e.touchData.selecting=!0,e.redraw();else if(i&&n.touches[1]&&l.zoomingEnabled()&&l.panningEnabled()&&l.userZoomingEnabled()&&l.userPanningEnabled()){if(n.preventDefault(),e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),ee=e.dragData.touchDragEles){e.redrawHint("drag",!0);for(var q=0;q<ee.length;q++){var V=ee[q]._private;V.grabbed=!1,V.rscratch.inDragLayer=!1}}D=n.touches[0].clientX-S,R=n.touches[0].clientY-$,M=n.touches[1].clientX-S,z=n.touches[1].clientY-$;var U=I(D,R,M,z),H=U/w;if(O){var G=(D-v+(M-y))/2,W=(R-b+(z-x))/2,Y=l.zoom(),X=Y*H,Z=l.pan(),Q=E[0]*Y+Z.x,J=E[1]*Y+Z.y,K={x:-X/Y*(Q-Z.x-G)+Q,y:-X/Y*(J-Z.y-W)+J};if(e.touchData.start&&e.touchData.start.active()){var ee=e.dragData.touchDragEles;f(ee),e.redrawHint("drag",!0),e.redrawHint("eles",!0),e.touchData.start.unactivate().emit("free")}l.viewport({zoom:X,pan:K,cancelOnFailedZoom:!0}),w=U,v=D,b=R,y=M,x=z,e.pinching=!0}n.touches[0]&&(h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY),c[0]=h[0],c[1]=h[1]),n.touches[1]&&(h=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),c[2]=h[0],c[3]=h[1]),n.touches[2]&&(h=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),c[4]=h[0],c[5]=h[1])}else if(n.touches[0]){var te=e.touchData.start,ne=e.touchData.last;if(e.hoverData.draggingEles||e.swipePanning||(F=e.findNearestElement(c[0],c[1],!0,!0)),i&&null!=te&&n.preventDefault(),i&&null!=te&&e.nodeIsDraggable(te))if(g){ee=e.dragData.touchDragEles;var re=!e.dragData.didDrag;re&&u(l.collection(ee),{inDragLayer:!0});for(var ie=0;ie<ee.length;ie++){var oe=ee[ie];if(e.nodeIsDraggable(oe)&&oe.grabbed()){e.dragData.didDrag=!0;var ae=oe.position();r.number(A[0])&&r.number(A[1])&&(ae.x+=A[0],ae.y+=A[1]),re&&(e.redrawHint("eles",!0),(le=e.touchData.dragDelta)&&r.number(le[0])&&r.number(le[1])&&(ae.x+=le[0],ae.y+=le[1]))}}var se=l.collection(ee);se.dirtyCompoundBoundsCache(),se.emit("position drag"),e.hoverData.draggingEles=!0,e.redrawHint("drag",!0),e.touchData.startPosition[0]==d[0]&&e.touchData.startPosition[1]==d[1]&&e.redrawHint("eles",!0),e.redraw()}else{var le;0===(le=e.touchData.dragDelta=e.touchData.dragDelta||[]).length?(le.push(A[0]),le.push(A[1])):(le[0]+=A[0],le[1]+=A[1])}if(t(te||F,["touchmove","tapdrag","vmousemove"],n,{position:{x:c[0],y:c[1]}}),te&&te.grabbed()||F==ne||(ne&&ne.emit({originalEvent:n,type:"tapdragout",position:{x:c[0],y:c[1]}}),F&&F.emit({originalEvent:n,type:"tapdragover",position:{x:c[0],y:c[1]}})),e.touchData.last=F,i)for(q=0;q<c.length;q++)c[q]&&e.touchData.startPosition[q]&&g&&(e.touchData.singleTouchMoved=!0);i&&(null==te||te.isEdge())&&l.panningEnabled()&&l.userPanningEnabled()&&(a(te,e.touchData.starts)&&(n.preventDefault(),e.swipePanning?l.panBy({x:A[0]*p,y:A[1]*p}):g&&(e.swipePanning=!0,l.panBy({x:_*p,y:P*p}),te&&(te.unactivate(),e.data.bgActivePosistion||(e.data.bgActivePosistion=o.array2point(e.touchData.startPosition)),e.redrawHint("select",!0),e.touchData.start=null))),h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY),c[0]=h[0],c[1]=h[1])}for(C=0;C<c.length;C++)d[C]=c[C]}},!1),e.registerBinding(window,"touchcancel",D=function(t){var n=e.touchData.start;e.touchData.capture=!1,n&&n.unactivate()}),e.registerBinding(window,"touchend",R=function(n){var r=e.touchData.start;if(e.touchData.capture){e.touchData.capture=!1,n.preventDefault();var i=e.selection;e.swipePanning=!1,e.hoverData.draggingEles=!1;var o,a=e.cy,s=a.zoom(),l=e.touchData.now,c=e.touchData.earlier;if(n.touches[0]){var u=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);l[0]=u[0],l[1]=u[1]}if(n.touches[1]&&(u=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),l[2]=u[0],l[3]=u[1]),n.touches[2]&&(u=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),l[4]=u[0],l[5]=u[1]),r&&r.unactivate(),e.touchData.cxt){if(o={originalEvent:n,type:"cxttapend",position:{x:l[0],y:l[1]}},r?r.emit(o):a.emit(o),!e.touchData.cxtDragged){var d={originalEvent:n,type:"cxttap",position:{x:l[0],y:l[1]}};r?r.emit(d):a.emit(d)}return e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!1,e.touchData.start=null,void e.redraw()}if(!n.touches[2]&&a.boxSelectionEnabled()&&e.touchData.selecting){e.touchData.selecting=!1;var p=a.collection(e.getAllInBox(i[0],i[1],i[2],i[3]));i[0]=void 0,i[1]=void 0,i[2]=void 0,i[3]=void 0,i[4]=0,e.redrawHint("select",!0),a.emit("boxend"),p.emit("box").stdFilter((function(e){return e.selectable()&&!e.selected()})).select().emit("boxselect"),p.nonempty()&&e.redrawHint("eles",!0),e.redraw()}if(null!=r&&r.unactivate(),n.touches[2])e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);else if(n.touches[1]);else if(n.touches[0]);else if(!n.touches[0]){e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var h=e.dragData.touchDragEles;if(null!=r){var g=r._private.grabbed;f(h),e.redrawHint("drag",!0),e.redrawHint("eles",!0),g&&r.emit("free"),t(r,["touchend","tapend","vmouseup","tapdragout"],n,{position:{x:l[0],y:l[1]}}),r.unactivate(),e.touchData.start=null}else{var m=e.findNearestElement(l[0],l[1],!0,!0);t(m,["touchend","tapend","vmouseup","tapdragout"],n,{position:{x:l[0],y:l[1]}})}var v=e.touchData.startPosition[0]-l[0],b=v*v,y=e.touchData.startPosition[1]-l[1],x=(b+y*y)*s*s;null!=r&&!e.dragData.didDrag&&r._private.selectable&&x<e.touchTapThreshold2&&!e.pinching&&("single"===a.selectionType()?(a.$(":selected").unmerge(r).unselect(),r.select()):r.selected()?r.unselect():r.select(),e.redrawHint("eles",!0)),e.touchData.singleTouchMoved||t(r,["tap","vclick"],n,{position:{x:l[0],y:l[1]}}),e.touchData.singleTouchMoved=!0}for(var w=0;w<l.length;w++)c[w]=l[w];e.dragData.didDrag=!1,0===n.touches.length&&(e.touchData.dragDelta=[],e.touchData.startPosition=null,e.touchData.startGPosition=null),n.touches.length<2&&(e.pinching=!1,e.redrawHint("eles",!0),e.redraw())}},!1),"undefined"==typeof TouchEvent){var M=[],z=function(e){return{clientX:e.clientX,clientY:e.clientY,force:1,identifier:e.pointerId,pageX:e.pageX,pageY:e.pageY,radiusX:e.width/2,radiusY:e.height/2,screenX:e.screenX,screenY:e.screenY,target:e.target}},L=function(e){M.push(function(e){return{event:e,touch:z(e)}}(e))},B=function(e){for(var t=0;t<M.length;t++)if(M[t].event.pointerId===e.pointerId)return void M.splice(t,1)},F=function(e){e.touches=M.map((function(e){return e.touch}))},q=function(e){return"mouse"===e.pointerType||4===e.pointerType};e.registerBinding(e.container,"pointerdown",(function(e){q(e)||(e.preventDefault(),L(e),F(e),T(e))})),e.registerBinding(e.container,"pointerup",(function(e){q(e)||(B(e),F(e),R(e))})),e.registerBinding(e.container,"pointercancel",(function(e){q(e)||(B(e),F(e),D())})),e.registerBinding(e.container,"pointermove",(function(e){q(e)||(e.preventDefault(),function(e){var t=M.filter((function(t){return t.event.pointerId===e.pointerId}))[0];t.event=e,t.touch=z(e)}(e),F(e),P(e))}))}},e.exports=a},function(e,t,n){"use strict";var r=n(2),i={generatePolygon:function(e,t){return this.nodeShapes[e]={renderer:this,name:e,points:t,draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl("polygon",e,t,n,r,i,this.points)},intersectLine:function(e,t,n,i,o,a,s){return r.polygonIntersectLine(o,a,this.points,e,t,n/2,i/2,s)},checkPoint:function(e,t,n,i,o,a,s){return r.pointInsidePolygon(e,t,this.points,a,s,i,o,[0,-1],n)}}},generateEllipse:function(){return this.nodeShapes.ellipse={renderer:this,name:"ellipse",draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){return r.intersectLineEllipse(o,a,e,t,n/2+s,i/2+s)},checkPoint:function(e,t,n,i,o,a,s){return r.checkInEllipse(e,t,i,o,a,s,n)}}},generateRoundRectangle:function(){return this.nodeShapes.roundrectangle={renderer:this,name:"roundrectangle",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){return r.roundRectangleIntersectLine(o,a,e,t,n,i,s)},checkPoint:function(e,t,n,i,o,a,s){var l=r.getRoundRectangleRadius(i,o),c=2*l;return!!(r.pointInsidePolygon(e,t,this.points,a,s,i,o-c,[0,-1],n)||r.pointInsidePolygon(e,t,this.points,a,s,i-c,o,[0,-1],n)||r.checkInEllipse(e,t,c,c,a-i/2+l,s-o/2+l,n)||r.checkInEllipse(e,t,c,c,a+i/2-l,s-o/2+l,n)||r.checkInEllipse(e,t,c,c,a+i/2-l,s+o/2-l,n)||r.checkInEllipse(e,t,c,c,a-i/2+l,s+o/2-l,n))}}},generateCutRectangle:function(){return this.nodeShapes.cutrectangle={renderer:this,name:"cutrectangle",cornerLength:r.getCutRectangleCornerLength(),points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},generateCutTrianglePts:function(e,t,n,r){var i=this.cornerLength,o=t/2,a=e/2,s=n-a,l=n+a,c=r-o,u=r+o;return{topLeft:[s,c+i,s+i,c,s+i,c+i],topRight:[l-i,c,l,c+i,l-i,c+i],bottomRight:[l,u-i,l-i,u,l-i,u-i],bottomLeft:[s+i,u,s,u-i,s+i,u-i]}},intersectLine:function(e,t,n,i,o,a,s){var l=this.generateCutTrianglePts(n+2*s,i+2*s,e,t),c=[].concat.apply([],[l.topLeft.splice(0,4),l.topRight.splice(0,4),l.bottomRight.splice(0,4),l.bottomLeft.splice(0,4)]);return r.polygonIntersectLine(o,a,c,e,t)},checkPoint:function(e,t,n,i,o,a,s){if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-2*this.cornerLength,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-2*this.cornerLength,o,[0,-1],n))return!0;var l=this.generateCutTrianglePts(i,o,a,s);return r.pointInsidePolygonPoints(e,t,l.topLeft)||r.pointInsidePolygonPoints(e,t,l.topRight)||r.pointInsidePolygonPoints(e,t,l.bottomRight)||r.pointInsidePolygonPoints(e,t,l.bottomLeft)}}},generateBarrel:function(){return this.nodeShapes.barrel={renderer:this,name:"barrel",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){var l=this.generateBarrelBezierPts(n+2*s,i+2*s,e,t),c=function(e){var t=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.15),n=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.5),i=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.85);return[e[0],e[1],t.x,t.y,n.x,n.y,i.x,i.y,e[4],e[5]]},u=[].concat(c(l.topLeft),c(l.topRight),c(l.bottomRight),c(l.bottomLeft));return r.polygonIntersectLine(o,a,u,e,t)},generateBarrelBezierPts:function(e,t,n,i){var o=t/2,a=e/2,s=n-a,l=n+a,c=i-o,u=i+o,d=r.getBarrelCurveConstants(e,t),f=d.heightOffset,p=d.widthOffset,h=d.ctrlPtOffsetPct*e,g={topLeft:[s,c+f,s+h,c,s+p,c],topRight:[l-p,c,l-h,c,l,c+f],bottomRight:[l,u-f,l-h,u,l-p,u],bottomLeft:[s+p,u,s+h,u,s,u-f]};return g.topLeft.isTop=!0,g.topRight.isTop=!0,g.bottomLeft.isBottom=!0,g.bottomRight.isBottom=!0,g},checkPoint:function(e,t,n,i,o,a,s){var l=r.getBarrelCurveConstants(i,o),c=l.heightOffset,u=l.widthOffset;if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-2*c,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-2*u,o,[0,-1],n))return!0;for(var d=this.generateBarrelBezierPts(i,o,a,s),f=function(e,t,n){var i=n[4],o=n[2],a=n[0],s=n[5],l=n[1],c=Math.min(i,a),u=Math.max(i,a),d=Math.min(s,l),f=Math.max(s,l);if(c<=e&&e<=u&&d<=t&&t<=f){var p=r.bezierPtsToQuadCoeff(i,o,a),h=r.solveQuadratic(p[0],p[1],p[2],e).filter((function(e){return 0<=e&&e<=1}));if(h.length>0)return h[0]}return null},p=Object.keys(d),h=0;h<p.length;h++){var g=d[p[h]],m=f(e,t,g);if(null!=m){var v=g[5],b=g[3],y=g[1],x=r.qbezierAt(v,b,y,m);if(g.isTop&&x<=t)return!0;if(g.isBottom&&t<=x)return!0}}return!1}}},generateBottomRoundrectangle:function(){return this.nodeShapes.bottomroundrectangle={renderer:this,name:"bottomroundrectangle",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){var l=e-(n/2+s),c=t-(i/2+s),u=c,d=e+(n/2+s),f=r.finiteLinesIntersect(o,a,e,t,l,c,d,u,!1);return f.length>0?f:r.roundRectangleIntersectLine(o,a,e,t,n,i,s)},checkPoint:function(e,t,n,i,o,a,s){var l=r.getRoundRectangleRadius(i,o),c=2*l;if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-c,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-c,o,[0,-1],n))return!0;var u=i/2+2*n,d=o/2+2*n,f=[a-u,s-d,a-u,s,a+u,s,a+u,s-d];return!!r.pointInsidePolygonPoints(e,t,f)||!!r.checkInEllipse(e,t,c,c,a+i/2-l,s+o/2-l,n)||!!r.checkInEllipse(e,t,c,c,a-i/2+l,s+o/2-l,n)}}},registerNodeShapes:function(){var e=this.nodeShapes={},t=this;this.generateEllipse(),this.generatePolygon("triangle",r.generateUnitNgonPointsFitToSquare(3,0)),this.generatePolygon("rectangle",r.generateUnitNgonPointsFitToSquare(4,0)),e.square=e.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle(),this.generatePolygon("diamond",[0,1,1,0,0,-1,-1,0]),this.generatePolygon("pentagon",r.generateUnitNgonPointsFitToSquare(5,0)),this.generatePolygon("hexagon",r.generateUnitNgonPointsFitToSquare(6,0)),this.generatePolygon("heptagon",r.generateUnitNgonPointsFitToSquare(7,0)),this.generatePolygon("octagon",r.generateUnitNgonPointsFitToSquare(8,0));var n=new Array(20),i=r.generateUnitNgonPoints(5,0),o=r.generateUnitNgonPoints(5,Math.PI/5),a=.5*(3-Math.sqrt(5));a*=1.57;for(var s=0;s<o.length/2;s++)o[2*s]*=a,o[2*s+1]*=a;for(s=0;s<5;s++)n[4*s]=i[2*s],n[4*s+1]=i[2*s+1],n[4*s+2]=o[2*s],n[4*s+3]=o[2*s+1];n=r.fitPolygonToSquare(n),this.generatePolygon("star",n),this.generatePolygon("vee",[-1,-1,0,-.333,1,-1,0,1]),this.generatePolygon("rhomboid",[-1,-1,.333,-1,1,1,-.333,1]),this.generatePolygon("concavehexagon",[-1,-.95,-.75,0,-1,.95,1,.95,.75,0,1,-.95]),this.generatePolygon("tag",[-1,-1,.25,-1,1,0,.25,1,-1,1]),e.makePolygon=function(e){var n,r="polygon-"+e.join("$");return(n=this[r])?n:t.generatePolygon(r,e)}}};e.exports=i},function(e,t,n){"use strict";var r=n(1),i={timeToRender:function(){return this.redrawTotalTime/this.redrawCount},redraw:function(e){e=e||r.staticEmptyObject();var t=this;void 0===t.averageRedrawTime&&(t.averageRedrawTime=0),void 0===t.lastRedrawTime&&(t.lastRedrawTime=0),void 0===t.lastDrawTime&&(t.lastDrawTime=0),t.requestedFrame=!0,t.renderOptions=e},beforeRender:function(e,t){if(!this.destroyed){t=t||0;var n=this.beforeRenderCallbacks;n.push({fn:e,priority:t}),n.sort((function(e,t){return t.priority-e.priority}))}}},o=function(e,t,n){for(var r=e.beforeRenderCallbacks,i=0;i<r.length;i++)r[i].fn(t,n)};i.startRenderLoop=function(){var e=this;e.renderLoopStarted||(e.renderLoopStarted=!0,r.requestAnimationFrame((function t(n){if(!e.destroyed){if(e.requestedFrame&&!e.skipFrame){o(e,!0,n);var i=r.performanceNow();e.render(e.renderOptions);var a=e.lastDrawTime=r.performanceNow();void 0===e.averageRedrawTime&&(e.averageRedrawTime=a-i),void 0===e.redrawCount&&(e.redrawCount=0),e.redrawCount++,void 0===e.redrawTotalTime&&(e.redrawTotalTime=0);var s=a-i;e.redrawTotalTime+=s,e.lastRedrawTime=s,e.averageRedrawTime=e.averageRedrawTime/2+s/2,e.requestedFrame=!1}else o(e,!1,n);e.skipFrame=!1,r.requestAnimationFrame(t)}})))},e.exports=i},function(e,t,n){"use strict";var r=n(1),i=n(0),o=n(124),a=n(125),s=c,l=c.prototype;function c(e){var t=this;t.data={canvases:new Array(l.CANVAS_LAYERS),contexts:new Array(l.CANVAS_LAYERS),canvasNeedsRedraw:new Array(l.CANVAS_LAYERS),bufferCanvases:new Array(l.BUFFER_COUNT),bufferContexts:new Array(l.CANVAS_LAYERS)};var n="-webkit-tap-highlight-color: rgba(0,0,0,0);";t.data.canvasContainer=document.createElement("div");var r=t.data.canvasContainer.style;t.data.canvasContainer.setAttribute("style",n),r.position="relative",r.zIndex="0",r.overflow="hidden";var s=e.cy.container();s.appendChild(t.data.canvasContainer),(s.getAttribute("style")||"").indexOf(n)<0&&s.setAttribute("style",(s.getAttribute("style")||"")+n);for(var c=0;c<l.CANVAS_LAYERS;c++){var u=t.data.canvases[c]=document.createElement("canvas");t.data.contexts[c]=u.getContext("2d"),u.setAttribute("style","-webkit-user-select: none; -moz-user-select: -moz-none; user-select: none; -webkit-tap-highlight-color: rgba(0,0,0,0); outline-style: none;"+(i.ms()?" -ms-touch-action: none; touch-action: none; ":"")),u.style.position="absolute",u.setAttribute("data-id","layer"+c),u.style.zIndex=String(l.CANVAS_LAYERS-c),t.data.canvasContainer.appendChild(u),t.data.canvasNeedsRedraw[c]=!1}for(t.data.topCanvas=t.data.canvases[0],t.data.canvases[l.NODE].setAttribute("data-id","layer"+l.NODE+"-node"),t.data.canvases[l.SELECT_BOX].setAttribute("data-id","layer"+l.SELECT_BOX+"-selectbox"),t.data.canvases[l.DRAG].setAttribute("data-id","layer"+l.DRAG+"-drag"),c=0;c<l.BUFFER_COUNT;c++)t.data.bufferCanvases[c]=document.createElement("canvas"),t.data.bufferContexts[c]=t.data.bufferCanvases[c].getContext("2d"),t.data.bufferCanvases[c].style.position="absolute",t.data.bufferCanvases[c].setAttribute("data-id","buffer"+c),t.data.bufferCanvases[c].style.zIndex=String(-c-1),t.data.bufferCanvases[c].style.visibility="hidden";t.pathsEnabled=!0,t.data.eleTxrCache=new o(t),t.data.lyrTxrCache=new a(t,t.data.eleTxrCache),t.onUpdateEleCalcs((function(e,n){for(var r=0;r<n.length;r++){var i=n[r],o=i._private.rstyle,a=o.dirtyEvents;if(i.isNode()&&a&&1===a.length&&a.position);else if(t.data.eleTxrCache.invalidateElement(i),i.isParent()&&a.style){var s=o.prevParentOpacity,l=i.pstyle("opacity").pfValue;if(o.prevParentOpacity=l,s!==l)for(var c=i.descendants(),u=0;u<c.length;u++)t.data.eleTxrCache.invalidateElement(c[u])}}n.length>0&&t.data.lyrTxrCache.invalidateElements(n)}))}l.CANVAS_LAYERS=3,l.SELECT_BOX=0,l.DRAG=1,l.NODE=2,l.BUFFER_COUNT=3,l.TEXTURE_BUFFER=0,l.MOTIONBLUR_BUFFER_NODE=1,l.MOTIONBLUR_BUFFER_DRAG=2,l.redrawHint=function(e,t){var n=this;switch(e){case"eles":n.data.canvasNeedsRedraw[l.NODE]=t;break;case"drag":n.data.canvasNeedsRedraw[l.DRAG]=t;break;case"select":n.data.canvasNeedsRedraw[l.SELECT_BOX]=t}};var u="undefined"!=typeof Path2D;l.path2dEnabled=function(e){if(void 0===e)return this.pathsEnabled;this.pathsEnabled=!!e},l.usePaths=function(){return u&&this.pathsEnabled},[n(126),n(127),n(128),n(129),n(130),n(131),n(132),n(133),n(134),n(135)].forEach((function(e){r.extend(l,e)})),e.exports=s},function(e,t,n){"use strict";var r=n(2),i=n(1),o=n(9),a=n(19),s={dequeue:"dequeue",downscale:"downscale",highQuality:"highQuality"},l=function(e){this.renderer=e,this.onDequeues=[],this.setupDequeueing()},c=l.prototype;c.reasons=s,c.getTextureQueue=function(e){return this.eleImgCaches=this.eleImgCaches||{},this.eleImgCaches[e]=this.eleImgCaches[e]||[]},c.getRetiredTextureQueue=function(e){var t=this.eleImgCaches.retired=this.eleImgCaches.retired||{};return t[e]=t[e]||[]},c.getElementQueue=function(){return this.eleCacheQueue=this.eleCacheQueue||new o((function(e,t){return t.reqs-e.reqs}))},c.getElementIdToQueue=function(){return this.eleIdToCacheQueue=this.eleIdToCacheQueue||{}},c.getElement=function(e,t,n,i,o){var a=this,l=this.renderer,c=e._private.rscratch,u=l.cy.zoom();if(0===t.w||0===t.h||!e.visible())return 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o=this,a=n.position(),s=a.x,l=a.y,c=n.cy().style(),u=c.getIndexedStyle.bind(c),d=u(n,"background-fit","value",r),f=u(n,"background-repeat","value",r),p=n.width(),h=n.height(),g=2*n.padding(),m=p+("inner"===u(n,"background-width-relative-to","value",r)?0:g),v=h+("inner"===u(n,"background-height-relative-to","value",r)?0:g),b=n._private.rscratch,y="node"===n.pstyle("background-clip").value,x=u(n,"background-image-opacity","value",r)*i,w=t.width||t.cachedW,k=t.height||t.cachedH;null!=w&&null!=k||(document.body.appendChild(t),w=t.cachedW=t.width||t.offsetWidth,k=t.cachedH=t.height||t.offsetHeight,document.body.removeChild(t));var A=w,E=k;if("auto"!==u(n,"background-width","value",r)&&(A="%"===u(n,"background-width","units",r)?u(n,"background-width","pfValue",r)*m:u(n,"background-width","pfValue",r)),"auto"!==u(n,"background-height","value",r)&&(E="%"===u(n,"background-height","units",r)?u(n,"background-height","pfValue",r)*v:u(n,"background-height","pfValue",r)),0!==A&&0!==E){if("contain"===d)A*=S=Math.min(m/A,v/E),E*=S;else if("cover"===d){var S;A*=S=Math.max(m/A,v/E),E*=S}var $=s-m/2;"%"===u(n,"background-position-x","units",r)?$+=(m-A)*u(n,"background-position-x","pfValue",r):$+=u(n,"background-position-x","pfValue",r);var C=l-v/2;"%"===u(n,"background-position-y","units",r)?C+=(v-E)*u(n,"background-position-y","pfValue",r):C+=u(n,"background-position-y","pfValue",r),b.pathCache&&($-=s,C-=l,s=0,l=0);var 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i=t.pstyle("text-halign").strValue;switch(t.pstyle("text-valign").strValue,i){case"left":e.textAlign="right";break;case"right":e.textAlign="left";break;default:e.textAlign="center"}e.textBaseline="bottom"}else{var o=t.pstyle("label"),a=t.pstyle("source-label"),s=t.pstyle("target-label");if(!(o&&o.value||a&&a.value||s&&s.value))return;e.textAlign="center",e.textBaseline="bottom"}r.drawText(e,t),t.isEdge()&&(r.drawText(e,t,"source"),r.drawText(e,t,"target"))}};o.drawNodeText=o.drawEdgeText=o.drawElementText,o.getFontCache=function(e){var t;this.fontCaches=this.fontCaches||[];for(var n=0;n<this.fontCaches.length;n++)if((t=this.fontCaches[n]).context===e)return t;return t={context:e},this.fontCaches.push(t),t},o.setupTextStyle=function(e,t){var n=t.effectiveOpacity(),r=t.pstyle("font-style").strValue,i=t.pstyle("font-size").pfValue+"px",o=t.pstyle("font-family").strValue,a=t.pstyle("font-weight").strValue,s=t.pstyle("text-opacity").value*t.pstyle("opacity").value*n,l=t.pstyle("text-outline-opacity").value*s,c=t.pstyle("color").value,u=t.pstyle("text-outline-color").value,d=t._private.fontKey,f=this.getFontCache(e);f.key!==d&&(e.font=r+" "+a+" "+i+" "+o,f.key=d),e.lineJoin="round",this.fillStyle(e,c[0],c[1],c[2],s),this.strokeStyle(e,u[0],u[1],u[2],l)},o.drawText=function(e,t,n){var i=t._private.rscratch,o=t.effectiveOpacity();if(0!==o&&0!==t.pstyle("text-opacity").value){var a,s,l,c,u,d,f=r.getPrefixedProperty(i,"labelX",n),p=r.getPrefixedProperty(i,"labelY",n),h=this.getLabelText(t,n);if(null!=h&&""!==h&&!isNaN(f)&&!isNaN(p)){this.setupTextStyle(e,t);var g=n?n+"-":"",m=r.getPrefixedProperty(i,"labelWidth",n),v=r.getPrefixedProperty(i,"labelHeight",n),b=r.getPrefixedProperty(i,"labelAngle",n),y=t.pstyle(g+"text-margin-x").pfValue,x=t.pstyle(g+"text-margin-y").pfValue,w=t.isEdge(),k=(t.isNode(),t.pstyle("text-halign").value),A=t.pstyle("text-valign").value;w&&(k="center",A="center"),f+=y,p+=x;var E,S=t.pstyle("text-rotation");if(0!==(E="autorotate"===S.strValue?w?b:0:"none"===S.strValue?0:S.pfValue)){var $=f,C=p;e.translate($,C),e.rotate(E),f=0,p=0}switch(A){case"top":break;case"center":p+=v/2;break;case"bottom":p+=v}var _=t.pstyle("text-background-opacity").value,O=t.pstyle("text-border-opacity").value,j=t.pstyle("text-border-width").pfValue,T=t.pstyle("text-background-padding").pfValue;if(_>0||j>0&&O>0){var P=f-T;switch(k){case"left":P-=m;break;case"center":P-=m/2}var D=p-v-T,R=m+2*T,I=v+2*T;if(_>0){var N=e.fillStyle,M=t.pstyle("text-background-color").value;e.fillStyle="rgba("+M[0]+","+M[1]+","+M[2]+","+_*o+")","roundrectangle"==t.pstyle("text-background-shape").strValue?(s=P,l=D,c=R,u=I,d=(d=2)||5,(a=e).beginPath(),a.moveTo(s+d,l),a.lineTo(s+c-d,l),a.quadraticCurveTo(s+c,l,s+c,l+d),a.lineTo(s+c,l+u-d),a.quadraticCurveTo(s+c,l+u,s+c-d,l+u),a.lineTo(s+d,l+u),a.quadraticCurveTo(s,l+u,s,l+u-d),a.lineTo(s,l+d),a.quadraticCurveTo(s,l,s+d,l),a.closePath(),a.fill()):e.fillRect(P,D,R,I),e.fillStyle=N}if(j>0&&O>0){var z=e.strokeStyle,L=e.lineWidth,B=t.pstyle("text-border-color").value,F=t.pstyle("text-border-style").value;if(e.strokeStyle="rgba("+B[0]+","+B[1]+","+B[2]+","+O*o+")",e.lineWidth=j,e.setLineDash)switch(F){case"dotted":e.setLineDash([1,1]);break;case"dashed":e.setLineDash([4,2]);break;case"double":e.lineWidth=j/4,e.setLineDash([]);break;case"solid":e.setLineDash([])}if(e.strokeRect(P,D,R,I),"double"===F){var q=j/2;e.strokeRect(P+q,D+q,R-2*q,I-2*q)}e.setLineDash&&e.setLineDash([]),e.lineWidth=L,e.strokeStyle=z}}var V=2*t.pstyle("text-outline-width").pfValue;if(V>0&&(e.lineWidth=V),"wrap"===t.pstyle("text-wrap").value){var U=r.getPrefixedProperty(i,"labelWrapCachedLines",n),H=v/U.length;switch(A){case"top":p-=(U.length-1)*H;break;case"center":case"bottom":p-=(U.length-1)*H}for(var G=0;G<U.length;G++)V>0&&e.strokeText(U[G],f,p),e.fillText(U[G],f,p),p+=H}else V>0&&e.strokeText(h,f,p),e.fillText(h,f,p);0!==E&&(e.rotate(-E),e.translate(-$,-C))}}},e.exports=o},function(e,t,n){"use strict";var r=n(0),i={drawNode:function(e,t,n,i){var o,a,s=this,l=t._private,c=l.rscratch,u=t.position();if(r.number(u.x)&&r.number(u.y)&&t.visible()){var d=t.effectiveOpacity(),f=s.usePaths(),p=void 0,h=!1,g=t.padding();o=t.width()+2*g,a=t.height()+2*g;var m=void 0;n&&(m=n,e.translate(-m.x1,-m.y1));for(var v=t.pstyle("background-image").value,b=new Array(v.length),y=new Array(v.length),x=0,w=0;w<v.length;w++){var k=v[w];if(b[w]=null!=k&&"none"!==k){var A=t.cy().style().getIndexedStyle(t,"background-image-crossorigin","value",w);x++,y[w]=s.getCachedImage(k,A,(function(){t.emitAndNotify("background")}))}}var E=t.pstyle("background-blacken").value,S=t.pstyle("border-width").pfValue,$=t.pstyle("background-color").value,C=t.pstyle("background-opacity").value*d,_=t.pstyle("border-color").value,O=t.pstyle("border-style").value,j=t.pstyle("border-opacity").value*d;e.lineJoin="miter";var T=function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:C;s.fillStyle(e,$[0],$[1],$[2],t)},P=function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:j;s.strokeStyle(e,_[0],_[1],_[2],t)},D=t.pstyle("shape").strValue,R=t.pstyle("shape-polygon-points").pfValue;if(f){var I=D+"$"+o+"$"+a+("polygon"===D?"$"+R.join("$"):"");e.translate(u.x,u.y),c.pathCacheKey===I?(p=c.pathCache,h=!0):(p=new Path2D,c.pathCacheKey=I,c.pathCache=p)}var N,M,z,L=function(){if(!h){var n=u;f&&(n={x:0,y:0}),s.nodeShapes[s.getNodeShape(t)].draw(p||e,n.x,n.y,o,a)}f?e.fill(p):e.fill()},B=function(){for(var n=arguments.length>0&&void 0!==arguments[0]?arguments[0]:d,r=l.backgrounding,i=0,o=0;o<y.length;o++)b[o]&&y[o].complete&&!y[o].error&&(i++,s.drawInscribedImage(e,y[o],t,o,n));l.backgrounding=!(i===x),r!==l.backgrounding&&t.updateStyle(!1)},F=function(){var n=arguments.length>0&&void 0!==arguments[0]&&arguments[0],r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:d;s.hasPie(t)&&(s.drawPie(e,t,r),n&&(f||s.nodeShapes[s.getNodeShape(t)].draw(e,u.x,u.y,o,a)))},q=function(){var t=arguments.length>0&&void 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U=t.pstyle("ghost-offset-x").pfValue,H=t.pstyle("ghost-offset-y").pfValue,G=t.pstyle("ghost-opacity").value,W=G*d;e.translate(U,H),T(G*C),L(),B(W),F(0!==E||0!==S),q(W),P(G*j),V(),e.translate(-U,-H)}T(),L(),B(),F(0!==E||0!==S),q(),P(),V(),f&&e.translate(-u.x,-u.y),s.drawElementText(e,t,i),N=t.pstyle("overlay-padding").pfValue,M=t.pstyle("overlay-opacity").value,z=t.pstyle("overlay-color").value,M>0&&(s.fillStyle(e,z[0],z[1],z[2],M),s.nodeShapes.roundrectangle.draw(e,u.x,u.y,o+2*N,a+2*N),e.fill()),n&&e.translate(m.x1,m.y1)}},hasPie:function(e){return(e=e[0])._private.hasPie},drawPie:function(e,t,n,r){t=t[0],r=r||t.position();var i=t.cy().style(),o=t.pstyle("pie-size"),a=r.x,s=r.y,l=t.width(),c=t.height(),u=Math.min(l,c)/2,d=0;this.usePaths()&&(a=0,s=0),"%"===o.units?u*=o.pfValue:void 0!==o.pfValue&&(u=o.pfValue/2);for(var f=1;f<=i.pieBackgroundN;f++){var p=t.pstyle("pie-"+f+"-background-size").value,h=t.pstyle("pie-"+f+"-background-color").value,g=t.pstyle("pie-"+f+"-background-opacity").value*n,m=p/100;m+d>1&&(m=1-d);var v=1.5*Math.PI+2*Math.PI*d,b=v+2*Math.PI*m;0===p||d>=1||d+m>1||(e.beginPath(),e.moveTo(a,s),e.arc(a,s,u,v,b),e.closePath(),this.fillStyle(e,h[0],h[1],h[2],g),e.fill(),d+=m)}}};e.exports=i},function(e,t,n){"use strict";var r={},i=n(1);r.getPixelRatio=function(){var e=this.data.contexts[0];if(null!=this.forcedPixelRatio)return this.forcedPixelRatio;var t=e.backingStorePixelRatio||e.webkitBackingStorePixelRatio||e.mozBackingStorePixelRatio||e.msBackingStorePixelRatio||e.oBackingStorePixelRatio||e.backingStorePixelRatio||1;return(window.devicePixelRatio||1)/t},r.paintCache=function(e){for(var t,n=this.paintCaches=this.paintCaches||[],r=!0,i=0;i<n.length;i++)if((t=n[i]).context===e){r=!1;break}return 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n="/components/model_tree/model_tree.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n.menu ul ul {\n    margin-left: 12px;\n}\n</style>\n\n<div class="menu">\n    <ul>\n        <li>\n            <a ui-sref="dbt.overview()" class="menu-link menu-main">\n                Overview\n            </a>\n        </li>\n\n        <li>\n            <div class="switches">\n                <div class="switch ">\n                    <span\n                       class="switch-label btn btn-sm"\n                       ng-class="{active: (nav_selected == \'project\')}"\n                       ng-click="nav_selected = \'project\'">\n                        <svg class="icn menu-icon-on"><use xlink:href="#icn-dir-on"></use></svg>\n                        Project\n                    </span>\n                </div>\n                <div class="switch">\n                    <span\n                       class="switch-label btn btn-sm"\n                       ng-class="{active: (nav_selected == \'database\')}"\n                       ng-click="nav_selected = \'database\'">\n                        <svg class="icn menu-icon-on"><use xlink:href="#icn-tree-on"></use></svg>\n                        Database\n                    </span>\n                </div>\n                <div class="switch">\n                    <span\n                       class="switch-label btn btn-sm"\n                       ng-class="{active: (nav_selected == \'group\')}"\n                       ng-click="nav_selected = \'group\'">\n                        <svg class="icn menu-icon-on"><use xlink:href="#icn-filter"></use></svg>\n                        Group\n                    </span>\n                </div>\n            </div>\n        </li>\n\n        <li>\n            <div class="menu" ng-show="nav_selected == \'project\'">\n                <div ng-show="tree.sources.length > 0">\n                    <strong>Sources</strong>\n                    <ul style="display: block">\n                        <model-tree-line\n                            item="item"\n                            resource-type="source"\n                            ng-repeat="item in tree.sources"></source-tree-line>\n                    </ul>\n                    <br />\n                </div>\n\n                <div ng-show="tree.exposures.length > 0">\n                    <strong>Exposures</strong>\n                    <ul style="display: block">\n                        <model-tree-line\n                            item="item"\n                            resource-type="exposure"\n                            ng-repeat="item in tree.exposures"></model-tree-line>\n                    </ul>\n                    <br />\n                </div>\n                \n                <div ng-show="tree.metrics.length > 0">\n                    <strong>Metrics</strong>\n                    <ul style="display: block">\n                        <model-tree-line\n                            item="item"\n                            resource-type="metric"\n                            ng-repeat="item in tree.metrics"></model-tree-line>\n                    </ul>\n                    <br />\n                </div>\n\n                <strong>Projects</strong>\n                <ul>\n                    <model-tree-line\n                        item="item"\n                        resource-type="model"\n                        ng-repeat="item in tree.project"></model-tree-line>\n                </ul>\n            </div>\n        </li>\n\n        <li>\n            <div class="menu" ng-show="nav_selected == \'database\'">\n                <strong>Tables and Views</strong>\n                <ul>\n                    <model-tree-line\n                        item="item"\n                        resource-type="model"\n                        ng-repeat="item in tree.database"></model-tree-line>\n                </ul>\n            </div>\n        </li>\n\n        <li>\n            <div class="menu" ng-show="nav_selected == \'group\'">\n                <strong>Public Models</strong>\n                <ul><model-tree-line\n                        item="item"\n                        resource-type="model"\n                        ng-repeat="item in tree.groups"></model-tree-line>\n                </ul>\n            </div>\n        </li>\n    </ul>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";const r=n(425),i=n(21);n(426),angular.module("dbt").directive("modelTreeLine",["$state",function(e){return{scope:{item:"=",depth:"<",resourceType:"@"},replace:!0,templateUrl:r,link:function(t,n,r,o){t.depth||(t.depth=0);var a=t.item.name;if(a){var s=i.last(a,15).join(""),l=i.initial(a,s.length).join("");t.name={name:a,start:l,end:s},t.name_start=l,t.name_end=s,t.onFolderClick=function(n){if(n.active=!n.active,"source"==t.resourceType){var r=n.name;e.go("dbt.source_list",{source:r})}else 0===t.depth&&"database"!==n.type&&e.go("dbt.project_overview",{project_name:n.name})},t.activate=function(n){t.$emit("clearSearch"),n.active=!0;var r="dbt."+n.node.resource_type;e.go(r,{unique_id:n.unique_id})},t.getIcon=function(e,t){return"#"+{header:{on:"icn-down",off:"icn-right"},database:{on:"icn-db-on",off:"icn-db"},schema:{on:"icn-tree-on",off:"icn-tree"},table:{on:"icn-doc-on",off:"icn-doc"},folder:{on:"icn-dir-on",off:"icn-dir"},file:{on:"icn-doc-on",off:"icn-doc"},group:{on:"icn-filter",off:"icn-filter"}}[e][t]},t.getClass=function(e){return{active:e.active,"menu-tree":"header"==e.type||"schema"==e.type||"folder"==e.type,"menu-main":"header"==e.type,"menu-node":"file"==e.type||"table"==e.type}}}}}}])},function(e,t){var n="/components/model_tree/model_tree_line.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<li class=\'unselectable\'>\n\n    <a ng-if="!item.unique_id"\n       class=\'unselectable\'\n       ng-class="getClass(item)"\n       ng-click="onFolderClick(item)">\n        <span class="filename">\n            <span class="filename-normal">\n                <svg class="icn menu-icon-on"><use xlink:href="{{ getIcon(item.type, \'on\') }}"></use></svg>\n                <svg class="icn menu-icon-off"><use xlink:href="{{ getIcon(item.type, \'off\') }}"></use></svg>\n            </span>\n            <span class="filename-ellip">{{name.start}}</span>\n            <span class="filename-normal">{{name.end}}</span>\n        </span>\n    </a>\n\n    <a ng-if="item.unique_id"\n       class=\'unselectable\'\n       ng-class="getClass(item)"\n       ng-click="activate(item)"\n       data-nav-unique-id="{{ item.unique_id }}"\n       title="{{ name.name }}">\n        <span class="filename">\n            <span class="filename-normal">\n                <svg class="icn menu-icon-on"><use xlink:href="{{ getIcon(item.type, \'on\') }}"></use></svg>\n                <svg class="icn menu-icon-off"><use xlink:href="{{ getIcon(item.type, \'off\') }}"></use></svg>\n            </span>\n            <span class="filename-ellip">{{name.start}}</span>\n            <span class="filename-normal">{{name.end}}</span>\n        </span>\n    </a>\n\n    <ul ng-if="item.items">\n        <model-tree-line\n                resource-type="{{ resourceType }}"\n                item="subitem"\n                depth="depth + 1"\n                ng-repeat="subitem in item.items" />\n    </ul>\n</li>\n')}]),e.exports=n},function(e,t,n){var r=n(427);"string"==typeof r&&(r=[[e.i,r,""]]);var i={hmr:!0,transform:void 0,insertInto:void 0};n(40)(r,i);r.locals&&(e.exports=r.locals)},function(e,t,n){(e.exports=n(39)(!1)).push([e.i,"\n.unselectable{\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n",""])},function(e,t,n){"use strict";const r=n(9),i=n(429);n(31);n(206),r.module("dbt").directive("docsSearch",["$sce","project",function(e,t){return{scope:{query:"=",results:"=",onSelect:"&"},replace:!0,templateUrl:i,link:function(n){n.max_results=20,n.show_all=!1,n.max_results_columns=3,n.limit_columns={},n.checkboxStatus={show_names:!1,show_descriptions:!1,show_columns:!1,show_column_descriptions:!1,show_code:!1,show_tags:!1},n.limit_search=function(e,t,r){return t<n.max_results||n.show_all},n.getState=function(e){return"dbt."+e.resource_type},n.getModelName=function(e){return"source"==e.resource_type?e.source_name+"."+e.name:"macro"==e.resource_type?e.package_name+"."+e.name:"metric"==e.resource_type||"exposure"==e.resource_type||"model"==e.resource_type&&null!=e.version?e.label:e.name};function r(e){return e.replace(/[.*+\-?^${}()|[\]\\]/g,"\\$&")}function i(e){return _.words(e.toLowerCase())}n.$watchGroup(["query","checkboxStatus.show_names","checkboxStatus.show_descriptions","checkboxStatus.show_columns","checkboxStatus.show_column_descriptions","checkboxStatus.show_code","checkboxStatus.show_tags"],(function(){n.results=function(e,t){if(!_.some(_.values(t)))return e;let n=[],r=[];const{show_names:i,show_descriptions:o,show_columns:a,show_column_descriptions:s,show_code:l,show_tags:c}=t;return _.each(e,(function(e){_.each(e.matches,(function(t){if(!r.includes(e.model.unique_id)){const u=i&&("name"===t.key||"label"==t.key),d=o&&"description"==t.key,f=a&&"columns"===t.key,p=s&&"column_description"===t.key,h=l&&"raw_code"===t.key,g=c&&"tags"===t.key;(u||d||f||p||h||g)&&(r.push(e.model.unique_id),n.push(e))}}))})),n}(t.search(n.query),n.checkboxStatus)})),n.shorten=function(e){if(null!=e&&e.trim().length>0&&null!=n.query&&n.query.trim().length>0){let t=e.replace(/\s+/g," "),o=r(i(n.query)[0]),a=t.search(new RegExp(o)),s=a-75<0?0:a-75,l=a+75>t.length?t.length:a+75;return"..."+t.substring(s,l)+"..."}return e},n.highlight=function(t){if(!n.query||!t)return e.trustAsHtml(t);let o="("+i(n.query).map(e=>r(e)).join(")|(")+")";return e.trustAsHtml(t.replace(new RegExp(o,"gi"),'<span class="search-result-match">$&</span>'))},n.$watch("query",(function(e,t){0==e.length&&(n.show_all=!1,n.limit_columns={})})),n.columnFilter=function(e){var t=[];let r=i(n.query);for(var o in e)r.every(e=>-1!=o.toLowerCase().indexOf(e))&&t.push(o);return t},n.limitColumns=function(e){return void 0!==n.limit_columns[e]?n.limit_columns[e]:3}}}}])},function(e,t){var n="/components/search/search.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="app-scroll">\n    <style>\n    .search-result-match {\n        background-color: #eee;\n    }\n    .spacing {\n        margin-right: 0.25em;\n    }\n    .sub-results {\n        margin-left: 36px;\n    }\n    </style>\n    <div class="app-title">\n        <div class="app-frame app-pad">\n            <h1>\n                <span class="break">{{ query }}</span>\n                <small><span>{{ results.length }}</span> search results</small>\n            </h1>\n            <input type="checkbox" id="name" ng-model="checkboxStatus.show_names" ng-click="filterResults(results, checkboxStatus)" style = "margin-left:10px;margin-right:5px">\n            <label for="name" style="margin-right:25px">Name</label> \n            <input type="checkbox" id="desc" ng-model="checkboxStatus.show_descriptions" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="desc" style="margin-right:25px;">Description</label> \n            <input type="checkbox" id="column" ng-model="checkboxStatus.show_columns" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="column" style="margin-right:25px;">Column</label> \n            <input type="checkbox" id="column_description" ng-model="checkboxStatus.show_column_descriptions" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="column_description" style="margin-right:25px;">Column Description</label>\n            <input type="checkbox" id="code" ng-model="checkboxStatus.show_code" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="code" style="margin-right:15px;">SQL</label>\n            <input type="checkbox" id="tag" ng-model="checkboxStatus.show_tags" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="code" style="margin-right:15px;">Tags</label>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <div class="results">\n                <div ng-repeat="result in results | filter:limit_search | orderBy:\'overallWeight\':true track by result.model.unique_id"\n                     data-ui-state="getState(result.model)" data-ui-state-params="{unique_id: result.model.unique_id}"\n                     ng-click="onSelect()"\n                     class="result search-result a">\n                        <div class="result-content">\n                            <div class="result-icn">\n                                <svg class="icn "><use xlink:href="#icn-doc"></use></svg>\n                            </div>\n                            <div class="result-body">\n                                <h4 class="a">\n                                    <span ng-bind-html="highlight(getModelName(result.model))"></span>\n                                    <small>{{result.model.resource_type}}</small>\n                                </h4>\n                                <p ng-bind-html="highlight(shorten(result.model.description))"></p>\n                            </div>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span ng-repeat="column in columnFilter(result.model.columns) | limitTo:limitColumns(result.model.unique_id)">\n                            <span ng-show="$first === true">columns:</span>\n                            <span ng-bind-html="highlight(column + \',\')" ng-show="$last === false"></span>\n                            <span ng-bind-html="highlight(column)" ng-show="$last === true"></span>\n                        </span>\n                        <a\n                            ng-show="columnFilter(result.model.columns).length > max_results_columns && !limit_columns[result.model.unique_id]"\n                            ng-click="$event.stopPropagation(); limit_columns[result.model.unique_id] = 100">Show {{ columnFilter(result.model.columns).length - max_results_columns }} more</a>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span>\n                            <span ng-bind-html = "highlight(shorten(result.model[\'raw_code\']))"></span>\n                        </span>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span ng-repeat="tag in result.model.tags">\n                            <span ng-show="$first === true">tags:</span>\n                            <span ng-bind-html="highlight(tag + \',\')" ng-show="$last === false"></span>\n                            <span ng-bind-html="highlight(tag)" ng-show="$last === true"></span>\n                        </span>\n                        </div>\n                </div>\n                <a\n                    ng-show="results.length >= max_results && !show_all"\n                    ng-click="show_all = true">Show {{ results.length - max_results }} more</a>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";const r=n(431);n(432);const i=n(21);angular.module("dbt").directive("tableDetails",["$sce","$filter","project",function(e,t,n){return{scope:{model:"=",extras:"=",exclude:"<"},templateUrl:r,link:function(e){function r(e,t){if(0==e)return"0 bytes";if(e<1&&(e*=1e6),isNaN(parseFloat(e))||!isFinite(e))return"-";void 0===t&&(t=0);var n=Math.floor(Math.log(e)/Math.log(1024));return(e/Math.pow(1024,Math.floor(n))).toFixed(t)+" "+["bytes","KB","MB","GB","TB","PB"][n]}function o(e,n){return void 0===n&&(n=2),t("number")(100*e,n)+"%"}function a(e,n){return void 0===n&&(n=0),t("number")(e,n)}function s(e){var t,r,o=!e.metadata,a=e.metadata||{};t=e.database?e.database+".":"",r=o?void 0:"source"==e.resource_type?t+e.schema+"."+e.identifier:t+e.schema+"."+e.alias;var s,l=[{name:"Owner",value:e.group?function(e){const{name:t,email:r}=n.project.groups[e].owner,i=[];if(t&&i.push(t),r){const e=i.length>0?`<${r}>`:r;i.push(e)}return i.join(" ")}(`group.${e.package_name}.${e.group}`):a.owner},{name:"Type",value:o?void 0:(s=a.type,"BASE TABLE"==s?{type:"table",name:"table"}:"LATE BINDING VIEW"==s?{type:"view",name:"late binding view"}:{type:s.toLowerCase(),name:s.toLowerCase()}).name},{name:"Package",value:e.package_name},{name:"Language",value:e.language},{name:"Relation",value:r},{name:"Access",value:e.access},{name:"Version",value:e.version}];return i.filter(l,(function(e){return void 0!==e.value}))}e.details=[],e.extended=[],e.exclude=e.exclude||[],e.meta=null,e._show_expanded=!1,e.show_expanded=function(t){return void 0!==t&&(e._show_expanded=t),e._show_expanded},e.hasData=function(e){return!(!e||i.isEmpty(e))&&(1!=e.length||0!=e[0].include)},e.$watch("model",(function(t,n){i.property(["metadata","type"])(t);var l,c,u,d=t.hasOwnProperty("sources")&&null!=t.sources[0]?t.sources[0].source_meta:null;if(e.meta=t.meta||d,e.details=s(t),e.extended=(l=t.stats,c={rows:a,row_count:a,num_rows:a,max_varchar:a,pct_used:o,size:r,bytes:r,num_bytes:r},u=i.sortBy(i.values(l),"label"),i.map(u,(function(e){var t=i.clone(e),n=c[e.id];return n&&(t.value=n(e.value),t.label=e.label.replace("Approximate","~"),t.label=e.label.replace("Utilization","Used")),t}))),e.extras){var f=i.filter(e.extras,(function(e){return void 0!==e.value&&null!==e.value}));e.details=e.details.concat(f)}e.show_extended=i.where(e.extended,{include:!0}).length>0})),e.queryTag=function(t){e.$emit("query",t)}}}}])},function(e,t){var n="/components/table_details/table_details.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="section-content">\n    <h6>Details</h6>\n    <div class="panel">\n        <div class="panel-body">\n            <div class="details">\n                <div class="details-content">\n                    <div class="detail-group" ng-if="hasData(meta)">\n                        <div class="detail-body">\n                            <dl class="detail"\n                                ng-repeat="(k, v) in meta">\n                                <dt class="detail-label">{{ k }}</dt>\n                                <dd class="detail-value">{{ v }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                    <div class="detail-group">\n                        <div class="detail-body">\n                            <dl class=\'detail\' ng-if="model.tags != undefined && exclude.indexOf(\'tags\') == -1">\n                                <dt class="detail-label">Tags</dt>\n                                <dd ng-if="model.tags.length > 0" class="detail-value">\n                                    <span ng-repeat="tag in model.tags"><code><a ng-click=queryTag(tag)>{{ tag }}</a></code>&nbsp;</span>\n                                </dd>\n                                <dd ng-if="model.tags.length == 0" class="detail-value">untagged</dd>\n                            </dl>\n                            <dl class="detail"\n                                ng-repeat="item in details">\n                                <dt class="detail-label">{{ item.name }}</dt>\n                                <dd class="detail-value">{{ item.value }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                    <div class="detail-group" ng-if="hasData(extended)">\n                        <div class="detail-body">\n                            <dl class="detail"\n                                ng-repeat="item in extended"\n                                ng-if="item.include">\n                                <dt data-toggle="tooltip" title="{{ item.description }}" class="detail-label">{{ item.label }}</dt>\n                                <dd class="detail-value">{{ item.value }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){var r=n(433);"string"==typeof r&&(r=[[e.i,r,""]]);var i={hmr:!0,transform:void 0,insertInto:void 0};n(40)(r,i);r.locals&&(e.exports=r.locals)},function(e,t,n){(e.exports=n(39)(!1)).push([e.i,"\n\n.details-content {\n    table-layout: fixed;\n}\n\n.detail-body {\n    white-space: nowrap;\n    overflow-x: scroll;\n}\n",""])},function(e,t,n){"use strict";const r=n(435),i=n(21);angular.module("dbt").directive("columnDetails",["project",function(e){return{scope:{model:"="},templateUrl:r,link:function(t){t.has_test=function(e,t){return-1!=i.pluck(e.tests,"short").indexOf(t)},t.has_more_info=function(e){var t=e.tests||[],n=e.description||"",r=e.meta||{};return t.length||n.length||!i.isEmpty(r)},t.toggle_column_expanded=function(e){t.has_more_info(e)&&(e.expanded=!e.expanded)},t.getState=function(e){return"dbt."+e.resource_type},t.get_col_name=function(t){return e.caseColumn(t)},t.get_columns=function(e){var t=i.chain(e.columns).values().sortBy("index").value();return i.each(t,(function(e,t){e.index=t})),t}}}}])},function(e,t){var n="/components/column_details/column_details.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="panel">\n    <div class="panel-body">\n        <div ng-if="_.isEmpty(model.columns)">\n            Column information is not available for this seed\n        </div>\n        <div class="table-responsive"\n             style="max-height: 800px; overflow-y: scroll;"\n             ng-if="!_.isEmpty(model.columns)">\n            <table class="table table-borderless table-hover">\n                <thead>\n                    <tr>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Column</th>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Type</th>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Description</th>\n                        <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;">Tests</th>\n                        <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;" class=\'text-center\'>More?</th>\n                    </tr>\n                </thead>\n                <tbody>\n                    <tr\n                        ng-repeat-start="column in get_columns(model) track by column.index"\n                        ng-click="toggle_column_expanded(column)"\n                        class="column-row"\n                        ng-class="{\'column-row-selected\': column.expanded}"\n                        ng-style="{cursor: has_more_info(column) ? \'pointer\' : \'auto\'}">\n                        <td>\n                            <div>\n                                <span class=\'text-dark\'>{{ get_col_name(column.name) }}</span>\n                            </div>\n                        </td>\n                        <td>\n                            <span class=\'text-dark\'>{{ column.type }}</p>\n                        </td>\n                        <td style="text-overflow: ellipsis; overflow-x: hidden; white-space: nowrap; max-width: 1px;">\n                            <span ng-show="!column.expanded">{{ column.description }}</span>\n                        </td>\n                        <td>\n                            <span class="text-light" ng-show="!column.expanded">\n                                <span data-toggle="tooltip" title="Unique" ng-if="has_test(column, \'U\')">U</span>\n                                <span data-toggle="tooltip" title="Not Null" ng-if="has_test(column, \'N\')">N</span>\n                                <span data-toggle="tooltip" title="Foreign Key" ng-if="has_test(column, \'F\')">F</span>\n                                <span data-toggle="tooltip" title="Accepted Values" ng-if="has_test(column, \'A\')">A</span>\n                                <span data-toggle="tooltip" title="Custom Test" ng-if="has_test(column, \'+\')">+</span>\n                            </span>\n                        </td>\n                        <td class=\'text-center\'>\n                            <span class=\'text-light\' ng-show="has_more_info(column)">\n                                <span ng-if="column.expanded">\n                                    <svg class="icn"><use xlink:href="#icn-up"></use></svg>\n                                </span>\n                                <span ng-if="!column.expanded">\n                                    <svg class="icn"><use xlink:href="#icn-right"></use></svg>\n                                </span>\n                            </span>\n                        </td>\n                    </tr>\n                    <tr ng-repeat-end ng-show="column.expanded" style="background-color: white; padding: 10px">\n                        <td colspan="5" class="column-expanded">\n                            <div style="padding: 5px 20px">\n                                <div ng-show="column.meta">\n                                    <h5>Details</h5>\n                                    <div class="detail-group" style="padding-bottom: 0">\n                                        <div class="detail-body" style="padding-left: 0">\n                                            <dl class="detail"\n                                                ng-style="{\'padding-left\': $index == 0 ? 0 : \'auto\'}"\n                                                ng-repeat="(k, v) in column.meta">\n                                                <dt class="detail-label">{{ k }}</dt>\n                                                <dd class="detail-value">{{ v }}</dd>\n                                            </dl>\n                                        </div>\n                                    </div>\n                                </div>\n\n                                <div style="margin-bottom: 15px" ng-if="column.description.length">\n                                    <h5>Description</h5>\n                                    <span marked="column.description"></span>\n                                </div>\n\n                                <div ng-show="column.tests && column.tests.length" style="margin-bottom: 15px">\n                                    <h5>Generic Tests</h5>\n                                    <ul class="list-unstyled" style="margin-top: 2px">\n                                        <li ng-repeat="test in column.tests" ng-switch on="test.short" class=\'text-light\'>\n                                            <span ng-switch-when="F">\n                                                Foreign Key\n                                                <span ng-if="test.fk_model.unique_id">\n                                                    <a data-ui-state="getState(test.fk_model)"\n                                                        data-ui-state-params="{unique_id: test.fk_model.unique_id}">\n                                                        to {{ test.fk_model.name }}\n                                                    </a> on <code>{{ test.fk_field }}</code>\n                                                </span>\n                                            </span>\n                                            <span ng-switch-when="P">Primary Key</span>\n                                            <span ng-switch-when="U">Unique</span>\n                                            <span ng-switch-when="N">Not Null</span>\n                                            <span ng-switch-default>{{ test.label }}</span>\n                                        </li>\n                                    </ul>\n                                </div>\n                            </div>\n                        </td>\n                    </tr>\n                </tbody>\n            </table>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";const r=n(437);n(31),n(438);function i(e){return"python"===e?"language-python":"language-sql"}angular.module("dbt").directive("codeBlock",["code","$timeout",function(e,t){return{scope:{versions:"=",default:"<",language:"="},restrict:"E",templateUrl:r,link:function(n,r){n.selected_version=n.default,n.language_class=i(n.language),n.source=null,n.setSelected=function(r){n.selected_version=r,n.source=n.versions[r]||"";const i=n.source.trim();n.highlighted=e.highlight(i,n.language),t((function(){Prism.highlightAll()}))},n.titleCase=function(e){return e.charAt(0).toUpperCase()+e.substring(1)},n.copied=!1,n.copy_to_clipboard=function(){e.copy_to_clipboard(n.source),n.copied=!0,setTimeout((function(){n.$apply((function(){n.copied=!1}))}),1e3)},n.$watch("language",(function(e,t){e&&e!=t&&(n.language_class=i(e))}),!0),n.$watch("versions",(function(e,t){if(e)if(n.default)n.setSelected(n.default);else{var r=Object.keys(n.versions);r.length>0&&n.setSelected(r[0])}}),!0)}}}])},function(e,t){var n="/components/code_block/code_block.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<h6>Code</h6>\n<div class="panel">\n    <div class="panel-body">\n        <ul class="nav nav-tabs">\n            <li\n                ng-repeat="(version_name, version) in versions"\n                ng-class="{active: version_name == selected_version}">\n                <a ng-click="setSelected(version_name)">{{ titleCase(version_name) }}</a>\n            </li>\n            <li class=\'nav-pull-right\'></li>\n            <li>\n                <a class=\'unselectable\'\n                   ng-click="copy_to_clipboard()">{{ copied ? \'copied\' : \'copy to clipboard\' }}</a>\n            </li>\n        </ul>\n        <div style="margin-top: 1px">\n            <pre style="background-color: white"\n                 class=\'code line-numbers\'><code class="source-code highlight" ng-class="language_class" ng-bind-html="highlighted"></code></pre>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){var r=n(439);"string"==typeof r&&(r=[[e.i,r,""]]);var i={hmr:!0,transform:void 0,insertInto:void 0};n(40)(r,i);r.locals&&(e.exports=r.locals)},function(e,t,n){(e.exports=n(39)(!1)).push([e.i,"pre.code {\n    border: none !important;\n    overflow-y: visible !important;\n    overflow-x: scroll !important;\n    padding-bottom: 10px;\n}\n\npre.code code {\n    font-family: Monaco, monospace !important;\n    font-weight: 400 !important;\n}\n\n.line-numbers-rows {\n    border: none !important;\n}\n",""])},function(e,t,n){"use strict";const r=n(441);angular.module("dbt").directive("macroArguments",[function(){return{scope:{macro:"="},templateUrl:r,link:function(e){_.each(e.macro.arguments,(function(e){e.expanded=!1}))}}}])},function(e,t){var n="/components/macro_arguments/index.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n    .arg-header {\n        background-color: white;\n        position: sticky;\n        top: 0;\n        z-index: 1;\n    }\n\n</style>\n\n<div class="panel">\n    <div class="panel-body">\n        <div ng-if="macro.arguments.length == 0">\n            Details are not available for this macro. This may be due to the fact that this macro doesn\'t have any\n            arguments or that they haven\'t been documented yet.\n        </div>\n        <div ng-if="macro.arguments.length > 0" class="table-responsive" style="max-height: 800px; overflow-y: scroll;">\n            <table class="table table-borderless table-hover">\n                <thead>\n                    <tr>\n                        <th class="arg-header">Argument</th>\n                        <th class="arg-header">Type</th>\n                        <th class="arg-header">Description</th>\n                        <th style="width: 1px;" class=\'text-center\'>More?</th>\n                    </tr>\n                </thead>\n                <tbody>\n                    <tr ng-repeat-start="arg in macro.arguments" ng-click="arg.expanded = !arg.expanded"\n                        ng-class="{\'column-row-selected\': arg.expanded}"\n                        ng-style="{cursor: arg.description ? \'pointer\' : \'auto\'}" class="column-row">\n                        <td>\n                            <div>\n                                <span class=\'text-dark\'>{{ arg.name }}</span>\n                            </div>\n                        </td>\n                        <td>\n                            <span class=\'text-dark\'>{{ arg.type }}</p>\n                        </td>\n                        <td style="text-overflow: ellipsis; overflow-x: hidden; white-space: nowrap; max-width: 1px;">\n                            <span ng-show="!arg.expanded">{{ arg.description }}</span>\n                        </td>\n                        <td class=\'text-center\'>\n                            <span class=\'text-light\' ng-show="arg.description">\n                                <span ng-if="arg.expanded">\n                                    <svg class="icn">\n                                        <use xlink:href="#icn-up"></use>\n                                    </svg>\n                                </span>\n                                <span ng-if="!arg.expanded">\n                                    <svg class="icn">\n                                        <use xlink:href="#icn-right"></use>\n                                    </svg>\n                                </span>\n                            </span>\n                        </td>\n                    </tr>\n                    <tr ng-repeat-end ng-show="arg.expanded" style="background-color: white; padding: 10px">\n                        <td colspan="4" class="column-expanded">\n                            <div style="padding: 5px 20px">\n                                <div style="margin-bottom: 15px">\n                                    <h5>Description</h5>\n                                    <span marked="arg.description"></span>\n                                </div>\n                            </div>\n                        </td>\n                    </tr>\n                </tbody>\n            </table>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";const r=n(443);angular.module("dbt").directive("referenceList",["$state",function(e){return{scope:{references:"=",node:"="},restrict:"E",templateUrl:r,link:function(t){t.selected_type=null,t.setType=function(e){t.selected_type=e,t.nodes=t.references[t.selected_type]},t.getNodeUrl=function(t){var n="dbt."+t.resource_type;return e.href(n,{unique_id:t.unique_id,"#":null})},t.mapResourceType=function(e){return"model"==e?"Models":"seed"==e?"Seeds":"test"==e?"Tests":"snapshot"==e?"Snapshots":"analysis"==e?"Analyses":"macro"==e?"Macros":"exposure"==e?"Exposures":"metric"==e?"Metrics":"operation"==e?"Operations":"Nodes"},t.$watch("references",(function(e){e&&_.size(e)>0?(t.selected_type=_.keys(e)[0],t.has_references=!0,t.nodes=t.references[t.selected_type]):t.has_references=!1}))}}}])},function(e,t){var n="/components/references/index.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="panel">\n    <div class="panel-body" ng-if="!has_references">\n        No resources reference this {{ node.resource_type }}\n    </div>\n    <div class="panel-body" ng-if="has_references">\n        <ul class="nav nav-tabs">\n            <li\n                ng-repeat="(resource_type, nodes) in references"\n                ng-class="{active: resource_type == selected_type}">\n                <a ng-click="setType(resource_type)">\n                    {{ mapResourceType(resource_type) }}\n                </a>\n            </li>\n        </ul>\n        <div style="margin-top: 15px">\n            <ul class=\'list-unstyled\'>\n                <li ng-repeat="node in nodes">\n                    <a ng-href="{{ getNodeUrl(node) }}">{{ node.name }}</a>\n                </li>\n            </ul>\n        <div>\n    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Set(["aliceblue","antiquewhite","aqua","aquamarine","azure","beige","bisque","black","blanchedalmond","blue","blueviolet","brown","burlywood","cadetblue","chartreuse","chocolate","coral","cornflowerblue","cornsilk","crimson","cyan","darkblue","darkcyan","darkgoldenrod","darkgray","darkgreen","darkkhaki","darkmagenta","darkolivegreen","darkorange","darkorchid","darkred","darksalmon","darkseagreen","darkslateblue","darkslategray","darkturquoise","darkviolet","deeppink","deepskyblue","dimgray","dodgerblue","firebrick","floralwhite","forestgreen","fuchsia","ghostwhite","gold","goldenrod","gray","green","greenyellow","honeydew","hotpink","indianred","indigo","ivory","khaki","lavender","lavenderblush","lawngreen","lemonchiffon","lightblue","lightcoral","lightcyan","lightgoldenrodyellow","lightgray","lightgreen","lightpink","lightsalmon","lightsalmon","lightseagreen","lightskyblue","lightslategray","lightsteelblue","lightyellow","lime","limegreen","linen","magenta","maroon","mediumaquamarine","mediumblue","mediumorchid","mediumpurple","mediumseagreen","mediumslateblue","mediumslateblue","mediumspringgreen","mediumturquoise","mediumvioletred","midnightblue","mintcream","mistyrose","moccasin","navajowhite","navy","oldlace","olive","olivedrab","orange","orangered","orchid","palegoldenrod","palegreen","paleturquoise","palevioletred","papayawhip","peachpuff","peru","pink","plum","powderblue","purple","rebeccapurple","red","rosybrown","royalblue","saddlebrown","salmon","sandybrown","seagreen","seashell","sienna","silver","skyblue","slateblue","slategray","snow","springgreen","steelblue","tan","teal","thistle","tomato","turquoise","violet","wheat","white","whitesmoke","yellow","yellowgreen"]);function i(e){if(!e)return!1;const t=e.trim().toLowerCase();if(""===t)return!1;const n=t.match(/^#([A-Fa-f0-9]{3}){1,2}$/),i=r.has(t);return Boolean(n)||i}},function(e,t,n){n(31);const r=n(21),i=n(470);angular.module("dbt").factory("selectorService",["$state",function(e){var t={include:"",exclude:"",packages:[],tags:[null],resource_types:["model","seed","snapshot","source","test","analysis","exposure","metric"],depth:1},n={view_node:null,selection:{clean:r.clone(t),dirty:r.clone(t)},options:{packages:[],tags:[null],resource_types:["model","seed","snapshot","source","test","analysis","exposure","metric"]},init:function(e){r.each(e,(function(e,r){n.options[r]=e,t[r]=e,n.selection.clean[r]=e,n.selection.dirty[r]=e}))},resetSelection:function(e){var i={include:e&&r.includes(["model","seed","snapshot"],e.resource_type)?"+"+e.name+"+":e&&"source"==e.resource_type?"+source:"+e.source_name+"."+e.name+"+":e&&"exposure"==e.resource_type?"+exposure:"+e.name:e&&"metric"==e.resource_type?"+metric:"+e.name:e&&r.includes(["analysis","test"],e.resource_type)?"+"+e.name:""},o=r.assign({},t,i);n.selection.clean=r.clone(o),n.selection.dirty=r.clone(o),n.view_node=e},getViewNode:function(){return n.view_node},excludeNode:function(e,t){var r,i=n.selection.dirty.exclude,o=t.parents?"+":"",a=t.children?"+":"",s=i.length>0?" 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d.unitless||"px"!==_&&"em"!==_?P.pfValue=t:P.pfValue="px"!==_&&_?this.getEmSizeInPixels()*t:t,"ms"!==_&&"s"!==_||(P.pfValue="ms"===_?t:1e3*t),"deg"!==_&&"rad"!==_||(P.pfValue="rad"===_?t:o.deg2rad(t)),"%"===_&&(P.pfValue=t/100),P}if(d.propList){var D=[],R=""+t;if("none"===R);else{for(var I=R.split(","),N=0;N<I.length;N++){var M=I[N].trim();this.properties[M]&&D.push(M)}if(0===D.length)return null}return{name:e,value:D,strValue:0===D.length?"none":D.join(", "),bypass:n}}if(d.color){var z=r.color2tuple(t);return z?{name:e,value:z,pfValue:z,strValue:""+t,bypass:n}:null}if(d.regex||d.regexes){if(d.enums){var L=C();if(L)return L}for(var B=d.regexes?d.regexes:[d.regex],F=0;F<B.length;F++){var q=new RegExp(B[F]).exec(t);if(q)return{name:e,value:d.singleRegexMatchValue?q[1]:q,strValue:""+t,bypass:n}}return null}return d.string?{name:e,value:""+t,strValue:""+t,bypass:n}:d.enums?C():null}};e.exports=a},function(e,t,n){"use strict";var r=n(0),i=n(3),o=n(2),a={autolock:function(e){return void 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t=this._private,n=!0,i=!0,o=[],a=!1,s=!1;if(!e)return this;if(r.number(e.zoom)||(n=!1),r.plainObject(e.pan)||(i=!1),!n&&!i)return this;if(n){var l=e.zoom;l<t.minZoom||l>t.maxZoom||!t.zoomingEnabled?a=!0:(t.zoom=l,o.push("zoom"))}if(i&&(!a||!e.cancelOnFailedZoom)&&t.panningEnabled){var c=e.pan;r.number(c.x)&&(t.pan.x=c.x,s=!1),r.number(c.y)&&(t.pan.y=c.y,s=!1),s||o.push("pan")}return o.length>0&&(o.push("viewport"),this.emit(o.join(" ")),this.notify({type:"viewport"})),this},center:function(e){var t=this.getCenterPan(e);return t&&(this._private.pan=t,this.emit("pan viewport"),this.notify({type:"viewport"})),this},getCenterPan:function(e,t){if(this._private.panningEnabled){if(r.string(e)){var n=e;e=this.mutableElements().filter(n)}else r.elementOrCollection(e)||(e=this.mutableElements());if(0!==e.length){var i=e.boundingBox(),o=this.width(),a=this.height();return{x:(o-(t=void 0===t?this._private.zoom:t)*(i.x1+i.x2))/2,y:(a-t*(i.y1+i.y2))/2}}}},reset:function(){return this._private.panningEnabled&&this._private.zoomingEnabled?(this.viewport({pan:{x:0,y:0},zoom:1}),this):this},invalidateSize:function(){this._private.sizeCache=null},size:function(){var e,t,n=this._private,r=n.container;return n.sizeCache=n.sizeCache||(r?(e=i.getComputedStyle(r),t=function(t){return parseFloat(e.getPropertyValue(t))},{width:r.clientWidth-t("padding-left")-t("padding-right"),height:r.clientHeight-t("padding-top")-t("padding-bottom")}):{width:1,height:1})},width:function(){return this.size().width},height:function(){return this.size().height},extent:function(){var e=this._private.pan,t=this._private.zoom,n=this.renderedExtent(),r={x1:(n.x1-e.x)/t,x2:(n.x2-e.x)/t,y1:(n.y1-e.y)/t,y2:(n.y2-e.y)/t};return r.w=r.x2-r.x1,r.h=r.y2-r.y1,r},renderedExtent:function(){var e=this.width(),t=this.height();return{x1:0,y1:0,x2:e,y2:t,w:e,h:t}}};a.centre=a.center,a.autolockNodes=a.autolock,a.autoungrabifyNodes=a.autoungrabify,e.exports=a},function(e,t,n){"use strict";var r=n(1),i=n(4),o=n(7),a=n(12),s=n(95),l=n(0),c=n(11),u={},d={};function p(e,t,n){var s=n,d=function(n){r.error("Can not register `"+t+"` for `"+e+"` since `"+n+"` already exists in the prototype and can not be overridden")};if("core"===e){if(a.prototype[t])return d(t);a.prototype[t]=n}else if("collection"===e){if(o.prototype[t])return d(t);o.prototype[t]=n}else if("layout"===e){for(var p=function(e){this.options=e,n.call(this,e),l.plainObject(this._private)||(this._private={}),this._private.cy=e.cy,this._private.listeners=[],this.createEmitter()},h=p.prototype=Object.create(n.prototype),g=[],m=0;m<g.length;m++){var v=g[m];h[v]=h[v]||function(){return this}}h.start&&!h.run?h.run=function(){return this.start(),this}:!h.start&&h.run&&(h.start=function(){return this.run(),this});var b=n.prototype.stop;h.stop=function(){var e=this.options;if(e&&e.animate){var t=this.animations;if(t)for(var n=0;n<t.length;n++)t[n].stop()}return 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p=t.roots[d],f=n.getElementById(p);u.push(f)}c=n.collection(u)}else if(o.string(t.roots))c=n.$(t.roots);else if(t.directed)c=a.roots();else{for(var h=[],g=a,m=function(){var e=n.collection();r.bfs({roots:g[0],visit:function(t,n,r,i,o){e=e.add(t)},directed:!1}),g=g.not(e),h.push(e)};g.length>0;)m();c=n.collection();for(var v=function(e){var t=h[e],n=t.maxDegree(!1),r=t.filter((function(e){return e.degree(!1)===n}));c=c.add(r)},b=0;b<h.length;b++)v(b)}var y=[],x={},w={},k={},A={},E={};s.bfs({roots:c,directed:t.directed,visit:function(e,t,n,r,i){var o=e[0],a=o.id();if(y[i]||(y[i]=[]),y[i].push(o),x[a]=!0,w[a]=i,k[a]=n,A[a]=t,n){var s=n.id();(E[s]=E[s]||[]).push(e)}}});for(var S=[],$=0;$<a.length;$++){var C=a[$];x[C.id()]||S.push(C)}for(var _=3*S.length,O=0;0!==S.length&&O<_;){for(var T=S.shift(),j=T.neighborhood().nodes(),P=!1,D=0;D<j.length;D++){var R=w[j[D].id()];if(void 0!==R){y[R].push(T),P=!0;break}}P||S.push(T),O++}for(;0!==S.length;){var I=S.shift();0===y.length&&y.push([]),y[0].push(I)}var N=function(){for(var e=0;e<y.length;e++)for(var t=y[e],n=0;n<t.length;n++){var r=t[n];null!=r?r._private.scratch.breadthfirst={depth:e,index:n}:(t.splice(n,1),n--)}};N();for(var M=function(e){for(var t=e.connectedEdges((function(t){return t.data("target")===e.id()})),n=e._private.scratch.breadthfirst,r=0,i=void 0,o=0;o<t.length;o++){var a=t[o].source()[0],s=a._private.scratch.breadthfirst;n.depth<=s.depth&&r<s.depth&&(r=s.depth,i=a)}return i},z=0;z<t.maximalAdjustments;z++){for(var L=y.length,B=[],F=0;F<L;F++)for(var q=y[F],V=q.length,U=0;U<V;U++){var H=q[U],G=H._private.scratch.breadthfirst,W=M(H);W&&(G.intEle=W,B.push(H))}for(var Y=0;Y<B.length;Y++){var X=B[Y],Z=X._private.scratch.breadthfirst,Q=Z.intEle._private.scratch.breadthfirst;y[Z.depth][Z.index]=null;for(var J=Q.depth+1;J>y.length-1;)y.push([]);y[J].push(X),Z.depth=J,Z.index=y[J].length-1}N()}var K=0;if(t.avoidOverlap)for(var ee=0;ee<a.length;ee++){var te=a[ee].layoutDimensions(t),ne=te.w,re=te.h;K=Math.max(K,ne,re)}for(var ie={},oe=function(e){if(ie[e.id()])return ie[e.id()];for(var t=e._private.scratch.breadthfirst.depth,n=e.neighborhood().nodes().not(":parent").intersection(a),r=0,i=0,o=0;o<n.length;o++){var s=n[o]._private.scratch.breadthfirst,l=s.index,c=s.depth,u=y[c].length;(t>c||0===t)&&(r+=l/u,i++)}return r/=i=Math.max(1,i),0===i&&(r=void 0),ie[e.id()]=r,r},ae=function(e,t){return oe(e)-oe(t)},se=0;se<3;se++){for(var le=0;le<y.length;le++)y[le]=y[le].sort(ae);N()}for(var ce=0,ue=0;ue<y.length;ue++)ce=Math.max(y[ue].length,ce);for(var de=l.x1+l.w/2,pe=l.x1+l.h/2,fe=function(e,n){var r=e._private.scratch.breadthfirst,i=r.depth,o=r.index,a=y[i].length,s=Math.max(l.w/(a+1),K),c=Math.max(l.h/(y.length+1),K),u=Math.min(l.w/2/y.length,l.h/2/y.length);if(u=Math.max(u,K),t.circle){if(t.circle){var d=u*i+u-(y.length>0&&y[0].length<=3?u/2:0),p=2*Math.PI/y[i].length*o;return 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l=i.makeBoundingBox(t.boundingBox?t.boundingBox:{x1:0,y1:0,w:n.width(),h:n.height()}),c=l.x1+l.w/2,u=l.y1+l.h/2,d=(void 0===t.sweep?2*Math.PI-2*Math.PI/s.length:t.sweep)/Math.max(1,s.length-1),p=void 0,f=0,h=0;h<s.length;h++){var g=s[h].layoutDimensions(t),m=g.w,v=g.h;f=Math.max(f,m,v)}if(p=o.number(t.radius)?t.radius:s.length<=1?0:Math.min(l.h,l.w)/2-f,s.length>1&&t.avoidOverlap){f*=1.75;var b=Math.cos(d)-Math.cos(0),y=Math.sin(d)-Math.sin(0),x=Math.sqrt(f*f/(b*b+y*y));p=Math.max(x,p)}return s.layoutPositions(this,t,(function(e,n){var r=t.startAngle+n*d*(a?1:-1),i=p*Math.cos(r),o=p*Math.sin(r);return{x:c+i,y:u+o}})),this},e.exports=s},function(e,t,n){"use strict";var r=n(1),i=n(2),o={fit:!0,padding:30,startAngle:1.5*Math.PI,sweep:void 0,clockwise:!0,equidistant:!1,minNodeSpacing:10,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,height:void 0,width:void 0,spacingFactor:void 0,concentric:function(e){return e.degree()},levelWidth:function(e){return 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u=e.layoutNodes[e.idToIndex[r[c]]];if(!u.isLocked){var d=o-u.positionX,p=a-u.positionY,f=Math.sqrt(d*d+p*p);if(f>1){var h=t.gravity*d/f,g=t.gravity*p/f;u.offsetX+=h,u.offsetY+=g}}}}},f=function(e,t){var n=[],r=0,i=-1;for(n.push.apply(n,e.graphSet[0]),i+=e.graphSet[0].length;r<=i;){var o=n[r++],a=e.idToIndex[o],s=e.layoutNodes[a],l=s.children;if(0<l.length&&!s.isLocked){for(var c=s.offsetX,u=s.offsetY,d=0;d<l.length;d++){var p=e.layoutNodes[e.idToIndex[l[d]]];p.offsetX+=c,p.offsetY+=u,n[++i]=l[d]}s.offsetX=0,s.offsetY=0}}},h=function(e,t){for(var n=0;n<e.nodeSize;n++)0<(i=e.layoutNodes[n]).children.length&&(i.maxX=void 0,i.minX=void 0,i.maxY=void 0,i.minY=void 0);for(n=0;n<e.nodeSize;n++)if(!(0<(i=e.layoutNodes[n]).children.length||i.isLocked)){var r=g(i.offsetX,i.offsetY,e.temperature);i.positionX+=r.x,i.positionY+=r.y,i.offsetX=0,i.offsetY=0,i.minX=i.positionX-i.width,i.maxX=i.positionX+i.width,i.minY=i.positionY-i.height,i.maxY=i.positionY+i.height,m(i,e)}for(n=0;n<e.nodeSize;n++){var i;0<(i=e.layoutNodes[n]).children.length&&!i.isLocked&&(i.positionX=(i.maxX+i.minX)/2,i.positionY=(i.maxY+i.minY)/2,i.width=i.maxX-i.minX,i.height=i.maxY-i.minY)}},g=function(e,t,n){var r=Math.sqrt(e*e+t*t);if(r>n)var i={x:n*e/r,y:n*t/r};else i={x:e,y:t};return i},m=function e(t,n){var r=t.parentId;if(null!=r){var i=n.layoutNodes[n.idToIndex[r]],o=!1;return(null==i.maxX||t.maxX+i.padRight>i.maxX)&&(i.maxX=t.maxX+i.padRight,o=!0),(null==i.minX||t.minX-i.padLeft<i.minX)&&(i.minX=t.minX-i.padLeft,o=!0),(null==i.maxY||t.maxY+i.padBottom>i.maxY)&&(i.maxY=t.maxY+i.padBottom,o=!0),(null==i.minY||t.minY-i.padTop<i.minY)&&(i.minY=t.minY-i.padTop,o=!0),o?e(i,n):void 0}},v=function(e){return function(e,t,n){o(e,t),d(e,t),p(e,t),f(e,t),h(e,t)}(r,i),r.temperature=r.temperature*i.coolingFactor,!(r.temperature<i.minTemp)},b=0;do{for(var y=0;y<i.refresh&&b<i.numIter;){var x;if(!(x=v()))break;y++,b++}!0===i.animate&&(t=r.layoutNodes,n=void 0,n={type:"message",message:t},c.trigger(n))}while(x&&b+1<i.numIter);return function(e,t){for(var n=r.layoutNodes,i=[],o=0;o<n.length;o++){var a=n[o],s=a.cmptId;(i[s]=i[s]||[]).push(a)}var l=0;for(o=0;o<i.length;o++)if(m=i[o]){m.x1=1/0,m.x2=-1/0,m.y1=1/0,m.y2=-1/0;for(var c=0;c<m.length;c++){var u=m[c];m.x1=Math.min(m.x1,u.positionX-u.width/2),m.x2=Math.max(m.x2,u.positionX+u.width/2),m.y1=Math.min(m.y1,u.positionY-u.height/2),m.y2=Math.max(m.y2,u.positionY+u.height/2)}m.w=m.x2-m.x1,m.h=m.y2-m.y1,l+=m.w*m.h}i.sort((function(e,t){return t.w*t.h-e.w*e.h}));var d=0,p=0,f=0,h=0,g=Math.sqrt(l)*r.clientWidth/r.clientHeight;for(o=0;o<i.length;o++){var m;if(m=i[o]){for(c=0;c<m.length;c++)(u=m[c]).isLocked||(u.positionX+=d,u.positionY+=p);d+=m.w+t.componentSpacing,f+=m.w+t.componentSpacing,h=Math.max(h,m.h),f>g&&(p+=h+t.componentSpacing,d=0,f=0,h=0)}}}(0,i),r})).then((function(e){d.layoutNodes=e.layoutNodes,o.stop(),b()}));var b=function(){!0===e.animate||!1===e.animate?v({force:!0,next:function(){n.one("layoutstop",e.stop),n.emit({type:"layoutstop",layout:n})}}):e.eles.nodes().layoutPositions(n,e,(function(e){var t=d.layoutNodes[d.idToIndex[e.data("id")]];return{x:t.positionX,y:t.positionY}}))};return this},c.prototype.stop=function(){return this.stopped=!0,this.thread&&this.thread.stop(),this.emit("layoutstop"),this},c.prototype.destroy=function(){return this.thread&&this.thread.stop(),this};var u=function(e,t,n){for(var r=n.eles.edges(),i=n.eles.nodes(),s={isCompound:e.hasCompoundNodes(),layoutNodes:[],idToIndex:{},nodeSize:i.size(),graphSet:[],indexToGraph:[],layoutEdges:[],edgeSize:r.size(),temperature:n.initialTemp,clientWidth:e.width(),clientHeight:e.width(),boundingBox:o.makeBoundingBox(n.boundingBox?n.boundingBox:{x1:0,y1:0,w:e.width(),h:e.height()})},l=n.eles.components(),c={},u=0;u<l.length;u++)for(var p=l[u],f=0;f<p.length;f++)c[p[f].id()]=u;for(u=0;u<s.nodeSize;u++){var h=(y=i[u]).layoutDimensions(n);(I={}).isLocked=y.locked(),I.id=y.data("id"),I.parentId=y.data("parent"),I.cmptId=c[y.id()],I.children=[],I.positionX=y.position("x"),I.positionY=y.position("y"),I.offsetX=0,I.offsetY=0,I.height=h.w,I.width=h.h,I.maxX=I.positionX+I.width/2,I.minX=I.positionX-I.width/2,I.maxY=I.positionY+I.height/2,I.minY=I.positionY-I.height/2,I.padLeft=parseFloat(y.style("padding")),I.padRight=parseFloat(y.style("padding")),I.padTop=parseFloat(y.style("padding")),I.padBottom=parseFloat(y.style("padding")),I.nodeRepulsion=a.fn(n.nodeRepulsion)?n.nodeRepulsion(y):n.nodeRepulsion,s.layoutNodes.push(I),s.idToIndex[I.id]=u}var g=[],m=0,v=-1,b=[];for(u=0;u<s.nodeSize;u++){var y,x=(y=s.layoutNodes[u]).parentId;null!=x?s.layoutNodes[s.idToIndex[x]].children.push(y.id):(g[++v]=y.id,b.push(y.id))}for(s.graphSet.push(b);m<=v;){var w=g[m++],k=s.idToIndex[w],A=s.layoutNodes[k].children;if(A.length>0)for(s.graphSet.push(A),u=0;u<A.length;u++)g[++v]=A[u]}for(u=0;u<s.graphSet.length;u++){var E=s.graphSet[u];for(f=0;f<E.length;f++){var S=s.idToIndex[E[f]];s.indexToGraph[S]=u}}for(u=0;u<s.edgeSize;u++){var $=r[u],C={};C.id=$.data("id"),C.sourceId=$.data("source"),C.targetId=$.data("target");var _=a.fn(n.idealEdgeLength)?n.idealEdgeLength($):n.idealEdgeLength,O=a.fn(n.edgeElasticity)?n.edgeElasticity($):n.edgeElasticity,T=s.idToIndex[C.sourceId],j=s.idToIndex[C.targetId];if(s.indexToGraph[T]!=s.indexToGraph[j]){for(var P=d(C.sourceId,C.targetId,s),D=s.graphSet[P],R=0,I=s.layoutNodes[T];-1===D.indexOf(I.id);)I=s.layoutNodes[s.idToIndex[I.parentId]],R++;for(I=s.layoutNodes[j];-1===D.indexOf(I.id);)I=s.layoutNodes[s.idToIndex[I.parentId]],R++;_*=R*n.nestingFactor}C.idealLength=_,C.elasticity=O,s.layoutEdges.push(C)}return s},d=function(e,t,n){var r=p(e,t,0,n);return 2>r.count?0:r.graph},p=function e(t,n,r,i){var o=i.graphSet[r];if(-1<o.indexOf(t)&&-1<o.indexOf(n))return{count:2,graph:r};for(var a=0,s=0;s<o.length;s++){var l=o[s],c=i.idToIndex[l],u=i.layoutNodes[c].children;if(0!==u.length){var d=e(t,n,i.indexToGraph[i.idToIndex[u[0]]],i);if(0!==d.count){if(1!==d.count)return d;if(2==++a)break}}}return{count:a,graph:r}},f=function(e){if(r){console.debug("layoutNodes:");for(var t=0;t<e.nodeSize;t++){var n=e.layoutNodes[t],i="\nindex: "+t+"\nId: "+n.id+"\nChildren: "+n.children.toString()+"\nparentId: "+n.parentId+"\npositionX: "+n.positionX+"\npositionY: "+n.positionY+"\nOffsetX: "+n.offsetX+"\nOffsetY: "+n.offsetY+"\npadLeft: "+n.padLeft+"\npadRight: "+n.padRight+"\npadTop: "+n.padTop+"\npadBottom: "+n.padBottom;console.debug(i)}for(var t in console.debug("idToIndex"),e.idToIndex)console.debug("Id: "+t+"\nIndex: "+e.idToIndex[t]);console.debug("Graph Set");var o=e.graphSet;for(t=0;t<o.length;t++)console.debug("Set : "+t+": 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c=a.rstyle,u=n.pstyle("text-border-width").pfValue,d=n.pstyle("text-background-padding").pfValue,p=w(c,"labelWidth",r)+u+2*s+2*d,f=w(c,"labelHeight",r)+u+2*s+2*d,h=w(c,"labelX",r),g=w(c,"labelY",r),v=w(a.rscratch,"labelAngle",r),y=h-p/2,x=h+p/2,k=g-f/2,A=g+f/2;if(v){var E=Math.cos(v),S=Math.sin(v),$=function(e,t){return{x:(e-=h)*E-(t-=g)*S+h,y:e*S+t*E+g}},C=$(y,k),_=$(y,A),O=$(x,k),T=$(x,A),j=[C.x,C.y,O.x,O.y,T.x,T.y,_.x,_.y];if(i.pointInsidePolygonPoints(e,t,j))return b(n),!0}else{var P={w:p,h:f,x1:y,x2:x,y1:k,y2:A};if(i.inBoundingBox(P,e,t))return b(n),!0}}}n&&(u=u.interactive);for(var A=u.length-1;A>=0;A--){var E=u[A];E.isNode()?y(E)||k(E):x(E)||k(E)||k(E,"source")||k(E,"target")}return d},getAllInBox:function(e,t,n,r){var o=this.getCachedZSortedEles().interactive,a=[],s=Math.min(e,n),l=Math.max(e,n),c=Math.min(t,r),u=Math.max(t,r);e=s,n=l,t=c,r=u;for(var d=i.makeBoundingBox({x1:e,y1:t,x2:n,y2:r}),p=0;p<o.length;p++){var f=o[p];if(f.isNode()){var h=f,g=h.boundingBox({includeNodes:!0,includeEdges:!1,includeLabels:!1});i.boundingBoxesIntersect(d,g)&&!i.boundingBoxInBoundingBox(g,d)&&a.push(h)}else{var m=f,v=m._private,b=v.rscratch;if(null!=b.startX&&null!=b.startY&&!i.inBoundingBox(d,b.startX,b.startY))continue;if(null!=b.endX&&null!=b.endY&&!i.inBoundingBox(d,b.endX,b.endY))continue;if("bezier"===b.edgeType||"multibezier"===b.edgeType||"self"===b.edgeType||"compound"===b.edgeType||"segments"===b.edgeType||"haystack"===b.edgeType){for(var y=v.rstyle.bezierPts||v.rstyle.linePts||v.rstyle.haystackPts,x=!0,w=0;w<y.length;w++)if(!i.pointInBoundingBox(d,y[w])){x=!1;break}x&&a.push(m)}else"haystack"!==b.edgeType&&"straight"!==b.edgeType||a.push(m)}}return a}});e.exports=a},function(e,t,n){"use strict";var r=n(2),i={calculateArrowAngles:function(e){var t,n,i,o,a,s,l=e._private.rscratch,c="haystack"===l.edgeType,u="bezier"===l.edgeType,d="multibezier"===l.edgeType,p="segments"===l.edgeType,f="compound"===l.edgeType,h="self"===l.edgeType;if(c?(i=l.haystackPts[0],o=l.haystackPts[1],a=l.haystackPts[2],s=l.haystackPts[3]):(i=l.arrowStartX,o=l.arrowStartY,a=l.arrowEndX,s=l.arrowEndY),m=l.midX,v=l.midY,p)t=i-l.segpts[0],n=o-l.segpts[1];else if(d||f||h||u){var g=l.allpts;t=i-r.qbezierAt(g[0],g[2],g[4],.1),n=o-r.qbezierAt(g[1],g[3],g[5],.1)}else t=i-m,n=o-v;l.srcArrowAngle=r.getAngleFromDisp(t,n);var m=l.midX,v=l.midY;if(c&&(m=(i+a)/2,v=(o+s)/2),t=a-i,n=s-o,p)if((g=l.allpts).length/2%2==0){var b=(y=g.length/2)-2;t=g[y]-g[b],n=g[y+1]-g[b+1]}else{b=(y=g.length/2-1)-2;var y,x=y+2;t=g[y]-g[b],n=g[y+1]-g[b+1]}else if(d||f||h){var w,k,A,E,g=l.allpts;if(l.ctrlpts.length/2%2==0){var S=2+($=2+(C=g.length/2-1));w=r.qbezierAt(g[C],g[$],g[S],0),k=r.qbezierAt(g[C+1],g[$+1],g[S+1],0),A=r.qbezierAt(g[C],g[$],g[S],1e-4),E=r.qbezierAt(g[C+1],g[$+1],g[S+1],1e-4)}else{var $,C=($=g.length/2-1)-2;S=$+2,w=r.qbezierAt(g[C],g[$],g[S],.4999),k=r.qbezierAt(g[C+1],g[$+1],g[S+1],.4999),A=r.qbezierAt(g[C],g[$],g[S],.5),E=r.qbezierAt(g[C+1],g[$+1],g[S+1],.5)}t=A-w,n=E-k}if(l.midtgtArrowAngle=r.getAngleFromDisp(t,n),l.midDispX=t,l.midDispY=n,t*=-1,n*=-1,p&&((g=l.allpts).length/2%2==0||(t=-(g[x=2+(y=g.length/2-1)]-g[y]),n=-(g[x+1]-g[y+1]))),l.midsrcArrowAngle=r.getAngleFromDisp(t,n),p)t=a-l.segpts[l.segpts.length-2],n=s-l.segpts[l.segpts.length-1];else if(d||f||h||u){var _=(g=l.allpts).length;t=a-r.qbezierAt(g[_-6],g[_-4],g[_-2],.9),n=s-r.qbezierAt(g[_-5],g[_-3],g[_-1],.9)}else t=a-m,n=s-v;l.tgtArrowAngle=r.getAngleFromDisp(t,n)}};i.getArrowWidth=i.getArrowHeight=function(e,t){var n=this.arrowWidthCache=this.arrowWidthCache||{},r=n[e+", "+t];return r||(r=Math.max(Math.pow(13.37*e,.9),29)*t,n[e+", "+t]=r,r)},e.exports=i},function(e,t,n){"use strict";var r=n(2),i=n(0),o={};function a(e){var t=[];if(null!=e){for(var n=0;n<e.length;n+=2){var r=e[n],i=e[n+1];t.push({x:r,y:i})}return t}}o.findEdgeControlPoints=function(e){if(e&&0!==e.length){for(var t,n,o,a,s,l=this,c=l.cy.hasCompoundNodes(),u={},d=[],p=[],f=0;f<e.length;f++){var h=(Ft=(Bt=e[f])._private).data,g="unbundled-bezier"===(D=Bt.pstyle("curve-style").value)||"segments"===D,m="unbundled-bezier"===D||"bezier"===D;if("none"!==Bt.pstyle("display").value)if("haystack"!==D){var v=h.source,b=h.target;t=v>b?b+"$-$"+v:v+"$-$"+b,g&&(t="unbundled$-$"+h.id);var y=u[t];null==y&&(y=u[t]=[],d.push(t)),y.push(Bt),g&&(y.hasUnbundled=!0),m&&(y.hasBezier=!0)}else p.push(Bt)}for(var x=0;x<d.length;x++){var w=u[t=d[x]];if(w.sort((function(e,t){return e.poolIndex()-t.poolIndex()})),Ht=w[0]._private.source,Gt=w[0]._private.target,!w.hasUnbundled&&Ht.id()>Gt.id()){var k=Ht;Ht=Gt,Gt=k}Wt=Ht.position(),Yt=Gt.position(),Xt=Ht.outerWidth(),Qt=Ht.outerHeight(),Zt=Gt.outerWidth(),Jt=Gt.outerHeight(),n=l.nodeShapes[this.getNodeShape(Ht)],o=l.nodeShapes[this.getNodeShape(Gt)],s=!1;var A={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0},E=Wt.x,S=Wt.y,$=Xt,C=Qt,_=Yt.x,O=Yt.y,T=Zt,j=Jt,P=w.length;for(f=0;f<w.length;f++){var D,R,I=(Vt=(Bt=w[f])._private.rscratch).lastEdgeIndex,N=f,M=Vt.lastNumEdges,z=(g="unbundled-bezier"===(D=Bt.pstyle("curve-style").value)||"segments"===D,Ht.id()!==Bt.source().id()),L=Bt.pstyle("control-point-distances"),B=Bt.pstyle("loop-direction").pfValue,F=Bt.pstyle("loop-sweep").pfValue,q=Bt.pstyle("control-point-weights"),V=L&&q?Math.min(L.value.length,q.value.length):1,U=Bt.pstyle("control-point-step-size").pfValue,H=L?L.pfValue[0]:void 0,G=q.value[0],W=Bt.pstyle("edge-distances").value,Y=Bt.pstyle("segment-weights"),X=Bt.pstyle("segment-distances"),Z=Math.min(Y.pfValue.length,X.pfValue.length),Q=Bt.pstyle("source-endpoint").value,J=Bt.pstyle("target-endpoint").value,K=Bt.pstyle("source-arrow-shape").value,ee=Bt.pstyle("target-arrow-shape").value,te=Bt.pstyle("arrow-scale").value,ne=Bt.pstyle("width").pfValue,re=Vt.lastSrcCtlPtX,ie=Vt.lastSrcCtlPtY,oe=Vt.lastSrcCtlPtW,ae=Vt.lastSrcCtlPtH,se=Vt.lastTgtCtlPtX,le=Vt.lastTgtCtlPtY,ce=Vt.lastTgtCtlPtW,ue=Vt.lastTgtCtlPtH,de=Vt.lastCurveStyle,pe=D,fe=Vt.lastCtrlptDists,he=L?L.strValue:null,ge=Vt.lastCtrlptWs,me=q.strValue,ve=Vt.lastSegmentWs,be=Y.strValue,ye=Vt.lastSegmentDs,xe=X.strValue,we=Vt.lastStepSize,ke=U,Ae=Vt.lastLoopDir,Ee=B,Se=Vt.lastLoopSwp,$e=F,Ce=Vt.lastEdgeDistances,_e=W,Oe=Vt.lastSrcEndpt,Te=Q,je=Vt.lastTgtEndpt,Pe=J,De=Vt.lastSrcArr,Re=K,Ie=Vt.lastTgtArr,Ne=ee,Me=Vt.lastLineW,ze=ne,Le=Vt.lastArrScl,Be=te;if(Vt.badBezier=!!s,re===E&&ie===S&&oe===$&&ae===C&&se===_&&le===O&&ce===T&&ue===j&&de===pe&&fe===he&&ge===me&&ve===be&&ye===xe&&we===ke&&Ae===Ee&&Se===$e&&Ce===_e&&Oe===Te&&je===Pe&&De===Re&&Ie===Ne&&Me===ze&&Le===Be&&(I===N&&M===P||g)?R=!0:(R=!1,Vt.lastSrcCtlPtX=E,Vt.lastSrcCtlPtY=S,Vt.lastSrcCtlPtW=$,Vt.lastSrcCtlPtH=C,Vt.lastTgtCtlPtX=_,Vt.lastTgtCtlPtY=O,Vt.lastTgtCtlPtW=T,Vt.lastTgtCtlPtH=j,Vt.lastEdgeIndex=N,Vt.lastNumEdges=P,Vt.lastCurveStyle=pe,Vt.lastCtrlptDists=he,Vt.lastCtrlptWs=me,Vt.lastSegmentDs=xe,Vt.lastSegmentWs=be,Vt.lastStepSize=ke,Vt.lastLoopDir=Ee,Vt.lastLoopSwp=$e,Vt.lastEdgeDistances=_e,Vt.lastSrcEndpt=Te,Vt.lastTgtEndpt=Pe,Vt.lastSrcArr=Re,Vt.lastTgtArr=Ne,Vt.lastLineW=ze,Vt.lastArrScl=Be),!R){if(!w.calculatedIntersection&&Ht!==Gt&&(w.hasBezier||w.hasUnbundled)){w.calculatedIntersection=!0;var Fe=n.intersectLine(Wt.x,Wt.y,Xt,Qt,Yt.x,Yt.y,0);w.srcIntn=Fe;var qe=o.intersectLine(Yt.x,Yt.y,Zt,Jt,Wt.x,Wt.y,0);w.tgtIntn=qe;var Ve={x1:Fe[0],x2:qe[0],y1:Fe[1],y2:qe[1]},Ue={x1:Wt.x,x2:Yt.x,y1:Wt.y,y2:Yt.y},He=qe[1]-Fe[1],Ge=qe[0]-Fe[0],We=Math.sqrt(Ge*Ge+He*He),Ye={x:Ge,y:He},Xe={x:Ye.x/We,y:Ye.y/We};a={x:-Xe.y,y:Xe.x},o.checkPoint(Fe[0],Fe[1],0,Zt,Jt,Yt.x,Yt.y)&&n.checkPoint(qe[0],qe[1],0,Xt,Qt,Wt.x,Wt.y)&&(a={},s=!0)}if(z?(Vt.srcIntn=w.tgtIntn,Vt.tgtIntn=w.srcIntn):(Vt.srcIntn=w.srcIntn,Vt.tgtIntn=w.tgtIntn),Ht===Gt){Vt.edgeType="self";var Ze=f,Qe=U;g&&(Ze=0,Qe=H);var Je=B-Math.PI/2,Ke=Je-F/2,et=Je+F/2,tt=String(B+"_"+F);Ze=void 0===A[tt]?A[tt]=0:++A[tt],Vt.ctrlpts=[Wt.x+1.4*Math.cos(Ke)*Qe*(Ze/3+1),Wt.y+1.4*Math.sin(Ke)*Qe*(Ze/3+1),Wt.x+1.4*Math.cos(et)*Qe*(Ze/3+1),Wt.y+1.4*Math.sin(et)*Qe*(Ze/3+1)]}else if(c&&(Ht.isParent()||Ht.isChild()||Gt.isParent()||Gt.isChild())&&(Ht.parents().anySame(Gt)||Gt.parents().anySame(Ht))){Vt.edgeType="compound",Vt.badBezier=!1,Ze=f,Qe=U,g&&(Ze=0,Qe=H);var nt={x:Wt.x-Xt/2,y:Wt.y-Qt/2},rt={x:Yt.x-Zt/2,y:Yt.y-Jt/2},it={x:Math.min(nt.x,rt.x),y:Math.min(nt.y,rt.y)},ot=Math.max(.5,Math.log(.01*Xt)),at=Math.max(.5,Math.log(.01*Zt));Vt.ctrlpts=[it.x,it.y-(1+Math.pow(50,1.12)/100)*Qe*(Ze/3+1)*ot,it.x-(1+Math.pow(50,1.12)/100)*Qe*(Ze/3+1)*at,it.y]}else if("segments"===D){Vt.edgeType="segments",Vt.segpts=[];for(var st=0;st<Z;st++){var lt=Y.pfValue[st],ct=X.pfValue[st],ut=1-lt,dt=lt,pt={x:(bt="node-position"===W?Ue:Ve).x1*ut+bt.x2*dt,y:bt.y1*ut+bt.y2*dt};Vt.segpts.push(pt.x+a.x*ct,pt.y+a.y*ct)}}else if(w.length%2!=1||f!==Math.floor(w.length/2)||g){var ft=g;Vt.edgeType=ft?"multibezier":"bezier",Vt.ctrlpts=[];for(var ht=0;ht<V;ht++){var gt,mt=(.5-w.length/2+f)*U,vt=r.signum(mt);ft&&(H=L?L.pfValue[ht]:U,G=q.value[ht]);var bt,yt=void 0!==(gt=g?H:void 0!==H?vt*H:void 0)?gt:mt;ut=1-G,dt=G,z&&(k=ut,ut=dt,dt=k),pt={x:(bt="node-position"===W?Ue:Ve).x1*ut+bt.x2*dt,y:bt.y1*ut+bt.y2*dt},Vt.ctrlpts.push(pt.x+a.x*yt,pt.y+a.y*yt)}}else Vt.edgeType="straight";this.findEndpoints(Bt);var xt=!i.number(Vt.startX)||!i.number(Vt.startY),wt=!i.number(Vt.arrowStartX)||!i.number(Vt.arrowStartY),kt=!i.number(Vt.endX)||!i.number(Vt.endY),At=!i.number(Vt.arrowEndX)||!i.number(Vt.arrowEndY),Et=this.getArrowWidth(Bt.pstyle("width").pfValue,Bt.pstyle("arrow-scale").value)*this.arrowShapeWidth*3;if("bezier"===Vt.edgeType){var St=r.dist({x:Vt.ctrlpts[0],y:Vt.ctrlpts[1]},{x:Vt.startX,y:Vt.startY}),$t=St<Et,Ct=r.dist({x:Vt.ctrlpts[0],y:Vt.ctrlpts[1]},{x:Vt.endX,y:Vt.endY}),_t=Ct<Et,Ot=!1;if(xt||wt||$t){Ot=!0;var Tt={x:Vt.ctrlpts[0]-Wt.x,y:Vt.ctrlpts[1]-Wt.y},jt=Math.sqrt(Tt.x*Tt.x+Tt.y*Tt.y),Pt={x:Tt.x/jt,y:Tt.y/jt},Dt=Math.max(Xt,Qt),Rt={x:Vt.ctrlpts[0]+2*Pt.x*Dt,y:Vt.ctrlpts[1]+2*Pt.y*Dt},It=n.intersectLine(Wt.x,Wt.y,Xt,Qt,Rt.x,Rt.y,0);$t?(Vt.ctrlpts[0]=Vt.ctrlpts[0]+Pt.x*(Et-St),Vt.ctrlpts[1]=Vt.ctrlpts[1]+Pt.y*(Et-St)):(Vt.ctrlpts[0]=It[0]+Pt.x*Et,Vt.ctrlpts[1]=It[1]+Pt.y*Et)}if(kt||At||_t){Ot=!0,Tt={x:Vt.ctrlpts[0]-Yt.x,y:Vt.ctrlpts[1]-Yt.y},jt=Math.sqrt(Tt.x*Tt.x+Tt.y*Tt.y),Pt={x:Tt.x/jt,y:Tt.y/jt},Dt=Math.max(Xt,Qt),Rt={x:Vt.ctrlpts[0]+2*Pt.x*Dt,y:Vt.ctrlpts[1]+2*Pt.y*Dt};var Nt=o.intersectLine(Yt.x,Yt.y,Zt,Jt,Rt.x,Rt.y,0);_t?(Vt.ctrlpts[0]=Vt.ctrlpts[0]+Pt.x*(Et-Ct),Vt.ctrlpts[1]=Vt.ctrlpts[1]+Pt.y*(Et-Ct)):(Vt.ctrlpts[0]=Nt[0]+Pt.x*Et,Vt.ctrlpts[1]=Nt[1]+Pt.y*Et)}Ot&&this.findEndpoints(Bt)}if("multibezier"===Vt.edgeType||"bezier"===Vt.edgeType||"self"===Vt.edgeType||"compound"===Vt.edgeType){for(Vt.allpts=[],Vt.allpts.push(Vt.startX,Vt.startY),ht=0;ht+1<Vt.ctrlpts.length;ht+=2)Vt.allpts.push(Vt.ctrlpts[ht],Vt.ctrlpts[ht+1]),ht+3<Vt.ctrlpts.length&&Vt.allpts.push((Vt.ctrlpts[ht]+Vt.ctrlpts[ht+2])/2,(Vt.ctrlpts[ht+1]+Vt.ctrlpts[ht+3])/2);var Mt;Vt.allpts.push(Vt.endX,Vt.endY),Vt.ctrlpts.length/2%2==0?(Mt=Vt.allpts.length/2-1,Vt.midX=Vt.allpts[Mt],Vt.midY=Vt.allpts[Mt+1]):(Mt=Vt.allpts.length/2-3,Vt.midX=r.qbezierAt(Vt.allpts[Mt],Vt.allpts[Mt+2],Vt.allpts[Mt+4],.5),Vt.midY=r.qbezierAt(Vt.allpts[Mt+1],Vt.allpts[Mt+3],Vt.allpts[Mt+5],.5))}else if("straight"===Vt.edgeType)Vt.allpts=[Vt.startX,Vt.startY,Vt.endX,Vt.endY],Vt.midX=(Vt.startX+Vt.endX+Vt.arrowStartX+Vt.arrowEndX)/4,Vt.midY=(Vt.startY+Vt.endY+Vt.arrowStartY+Vt.arrowEndY)/4;else if("segments"===Vt.edgeType)if(Vt.allpts=[],Vt.allpts.push(Vt.startX,Vt.startY),Vt.allpts.push.apply(Vt.allpts,Vt.segpts),Vt.allpts.push(Vt.endX,Vt.endY),Vt.segpts.length%4==0){var zt=Vt.segpts.length/2,Lt=zt-2;Vt.midX=(Vt.segpts[Lt]+Vt.segpts[zt])/2,Vt.midY=(Vt.segpts[Lt+1]+Vt.segpts[zt+1])/2}else Lt=Vt.segpts.length/2-1,Vt.midX=Vt.segpts[Lt],Vt.midY=Vt.segpts[Lt+1];this.storeEdgeProjections(Bt),this.calculateArrowAngles(Bt)}this.recalculateEdgeLabelProjections(Bt),this.calculateLabelAngles(Bt)}}for(f=0;f<p.length;f++){var Bt,Ft,qt=(Ft=(Bt=p[f])._private).rscratch,Vt=qt;if(!qt.haystack){var Ut=2*Math.random()*Math.PI;qt.source={x:Math.cos(Ut),y:Math.sin(Ut)},Ut=2*Math.random()*Math.PI,qt.target={x:Math.cos(Ut),y:Math.sin(Ut)}}var Ht=Ft.source,Gt=Ft.target,Wt=Ht.position(),Yt=Gt.position(),Xt=Ht.width(),Zt=Gt.width(),Qt=Ht.height(),Jt=Gt.height(),Kt=(Dt=Bt.pstyle("haystack-radius").value)/2;Vt.haystackPts=Vt.allpts=[Vt.source.x*Xt*Kt+Wt.x,Vt.source.y*Qt*Kt+Wt.y,Vt.target.x*Zt*Kt+Yt.x,Vt.target.y*Jt*Kt+Yt.y],Vt.midX=(Vt.allpts[0]+Vt.allpts[2])/2,Vt.midY=(Vt.allpts[1]+Vt.allpts[3])/2,qt.edgeType=qt.lastCurveStyle="haystack",qt.haystack=!0,this.storeEdgeProjections(Bt),this.calculateArrowAngles(Bt),this.recalculateEdgeLabelProjections(Bt),this.calculateLabelAngles(Bt)}}},o.getSegmentPoints=function(e){var t=e[0]._private.rscratch;if("segments"===t.edgeType)return a(t.segpts)},o.getControlPoints=function(e){var t=e[0]._private.rscratch,n=t.edgeType;if("bezier"===n||"multibezier"===n||"self"===n||"compound"===n)return a(t.ctrlpts)},o.getEdgeMidpoint=function(e){var t=e[0]._private.rscratch;return{x:t.midX,y:t.midY}},e.exports=o},function(e,t,n){"use strict";var r=n(2),i=n(0),o={manualEndptToPx:function(e,t){var n=e.position(),r=e.outerWidth(),i=e.outerHeight();if(2===t.value.length){var o=[t.pfValue[0],t.pfValue[1]];return"%"===t.units[0]&&(o[0]=o[0]*r),"%"===t.units[1]&&(o[1]=o[1]*i),o[0]+=n.x,o[1]+=n.y,o}var a=t.pfValue[0];a=-Math.PI/2+a;var s=2*Math.max(r,i),l=[n.x+Math.cos(a)*s,n.y+Math.sin(a)*s];return this.nodeShapes[this.getNodeShape(e)].intersectLine(n.x,n.y,r,i,l[0],l[1],0)},findEndpoints:function(e){var t=this,n=void 0,o=e.source()[0],a=e.target()[0],s=o.position(),l=a.position(),c=e.pstyle("target-arrow-shape").value,u=e.pstyle("source-arrow-shape").value,d=e.pstyle("target-distance-from-node").pfValue,p=e.pstyle("source-distance-from-node").pfValue,f=e._private.rscratch,h=f.edgeType,g="self"===h||"compound"===h,m="bezier"===h||"multibezier"===h||g,v="bezier"!==h,b="straight"===h||"segments"===h,y="segments"===h,x=m||v||b,w=e.pstyle("source-endpoint"),k=g?"outside-to-node":w.value,A=e.pstyle("target-endpoint"),E=g?"outside-to-node":A.value;f.srcManEndpt=w,f.tgtManEndpt=A;var S=void 0,$=void 0,C=void 0,_=void 0;if(m){var O=[f.ctrlpts[0],f.ctrlpts[1]];S=v?[f.ctrlpts[f.ctrlpts.length-2],f.ctrlpts[f.ctrlpts.length-1]]:O,$=O}else if(b){var T=y?f.segpts.slice(0,2):[l.x,l.y];S=y?f.segpts.slice(f.segpts.length-2):[s.x,s.y],$=T}"inside-to-node"===E?n=[l.x,l.y]:A.units?n=this.manualEndptToPx(a,A):"outside-to-line"===E?n=f.tgtIntn:("outside-to-node"===E?C=S:"outside-to-line"===E&&(C=[s.x,s.y]),n=t.nodeShapes[this.getNodeShape(a)].intersectLine(l.x,l.y,a.outerWidth(),a.outerHeight(),C[0],C[1],0));var 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g=r.$((function(t){return t.isNode()&&t.selected()&&e.nodeIsGrabbable(t)}));u(g,{addToList:p}),c.emit(h("grabon")),g.forEach((function(e){e.emit(h("grab"))}))}else p=e.dragData.possibleDragElements=[],d(c,{addToList:p}),c.emit(h("grabon")).emit(h("grab"));e.redrawHint("eles",!0),e.redrawHint("drag",!0)}e.hoverData.down=c,e.hoverData.downs=s,e.hoverData.downTime=(new Date).getTime(),t(c,["mousedown","tapstart","vmousedown"],n,{position:{x:o[0],y:o[1]}}),null==c?(a[4]=1,e.data.bgActivePosistion={x:o[0],y:o[1]},e.redrawHint("select",!0),e.redraw()):c.isEdge()&&(a[4]=1),e.hoverData.tapholdCancelled=!1,clearTimeout(e.hoverData.tapholdTimeout),e.hoverData.tapholdTimeout=setTimeout((function(){if(!e.hoverData.tapholdCancelled){var t=e.hoverData.down;t?t.emit({originalEvent:n,type:"taphold",position:{x:o[0],y:o[1]}}):r.emit({originalEvent:n,type:"taphold",position:{x:o[0],y:o[1]}})}}),e.tapholdDuration)}a[0]=a[2]=o[0],a[1]=a[3]=o[1]}}),!1),e.registerBinding(window,"mousemove",(function(i){if(e.hoverData.capture||T(i)){var s=!1,l=e.cy,c=l.zoom(),d=[i.clientX,i.clientY],f=e.projectIntoViewport(d[0],d[1]),h=e.hoverData.mdownPos,g=e.hoverData.mdownGPos,m=e.selection,v=null;e.hoverData.draggingEles||e.hoverData.dragging||e.hoverData.selecting||(v=e.findNearestElement(f[0],f[1],!0,!1));var b,y=e.hoverData.last,x=e.hoverData.down,w=[f[0]-m[2],f[1]-m[3]],k=e.dragData.possibleDragElements;if(g){var A=d[0]-g[0],E=A*A,S=d[1]-g[1],$=E+S*S;e.hoverData.isOverThresholdDrag=b=$>=e.desktopTapThreshold2}var C=n(i);b&&(e.hoverData.tapholdCancelled=!0),s=!0,t(v,["mousemove","vmousemove","tapdrag"],i,{position:{x:f[0],y:f[1]}});var _=function(){e.data.bgActivePosistion=void 0,e.hoverData.selecting||l.emit("boxstart"),m[4]=1,e.hoverData.selecting=!0,e.redrawHint("select",!0),e.redraw()};if(3===e.hoverData.which){if(b){var O={originalEvent:i,type:"cxtdrag",position:{x:f[0],y:f[1]}};x?x.emit(O):l.emit(O),e.hoverData.cxtDragged=!0,e.hoverData.cxtOver&&v===e.hoverData.cxtOver||(e.hoverData.cxtOver&&e.hoverData.cxtOver.emit({originalEvent:i,type:"cxtdragout",position:{x:f[0],y:f[1]}}),e.hoverData.cxtOver=v,v&&v.emit({originalEvent:i,type:"cxtdragover",position:{x:f[0],y:f[1]}}))}}else if(e.hoverData.dragging){if(s=!0,l.panningEnabled()&&l.userPanningEnabled()){var j;if(e.hoverData.justStartedPan){var P=e.hoverData.mdownPos;j={x:(f[0]-P[0])*c,y:(f[1]-P[1])*c},e.hoverData.justStartedPan=!1}else j={x:w[0]*c,y:w[1]*c};l.panBy(j),e.hoverData.dragged=!0}f=e.projectIntoViewport(i.clientX,i.clientY)}else if(1!=m[4]||null!=x&&!x.isEdge()){if(x&&x.isEdge()&&x.active()&&x.unactivate(),x&&x.grabbed()||v==y||(y&&t(y,["mouseout","tapdragout"],i,{position:{x:f[0],y:f[1]}}),v&&t(v,["mouseover","tapdragover"],i,{position:{x:f[0],y:f[1]}}),e.hoverData.last=v),x)if(b){if(l.boxSelectionEnabled()&&C)x&&x.grabbed()&&(p(k),x.emit("free")),_();else if(x&&x.grabbed()&&e.nodeIsDraggable(x)){var D=!e.dragData.didDrag;D&&e.redrawHint("eles",!0),e.dragData.didDrag=!0;var R=[];e.hoverData.draggingEles||u(l.collection(k),{inDragLayer:!0});for(var I=0;I<k.length;I++){var N=k[I];if(e.nodeIsDraggable(N)&&N.grabbed()){var M=N.position();if(R.push(N),r.number(w[0])&&r.number(w[1])&&(M.x+=w[0],M.y+=w[1],D)){var z=e.hoverData.dragDelta;z&&r.number(z[0])&&r.number(z[1])&&(M.x+=z[0],M.y+=z[1])}}}e.hoverData.draggingEles=!0;var L=l.collection(R);L.dirtyCompoundBoundsCache(),L.emit("position drag"),e.redrawHint("drag",!0),e.redraw()}}else!function(){var t=e.hoverData.dragDelta=e.hoverData.dragDelta||[];0===t.length?(t.push(w[0]),t.push(w[1])):(t[0]+=w[0],t[1]+=w[1])}();s=!0}else b&&(e.hoverData.dragging||!l.boxSelectionEnabled()||!C&&l.panningEnabled()&&l.userPanningEnabled()?!e.hoverData.selecting&&l.panningEnabled()&&l.userPanningEnabled()&&a(x,e.hoverData.downs)&&(e.hoverData.dragging=!0,e.hoverData.justStartedPan=!0,m[4]=0,e.data.bgActivePosistion=o.array2point(h),e.redrawHint("select",!0),e.redraw()):_(),x&&x.isEdge()&&x.active()&&x.unactivate());return m[2]=f[0],m[3]=f[1],s?(i.stopPropagation&&i.stopPropagation(),i.preventDefault&&i.preventDefault(),!1):void 0}}),!1),e.registerBinding(window,"mouseup",(function(r){if(e.hoverData.capture){e.hoverData.capture=!1;var i=e.cy,o=e.projectIntoViewport(r.clientX,r.clientY),a=e.selection,s=e.findNearestElement(o[0],o[1],!0,!1),l=e.dragData.possibleDragElements,c=e.hoverData.down,u=n(r);if(e.data.bgActivePosistion&&(e.redrawHint("select",!0),e.redraw()),e.hoverData.tapholdCancelled=!0,e.data.bgActivePosistion=void 0,c&&c.unactivate(),3===e.hoverData.which){var d={originalEvent:r,type:"cxttapend",position:{x:o[0],y:o[1]}};if(c?c.emit(d):i.emit(d),!e.hoverData.cxtDragged){var f={originalEvent:r,type:"cxttap",position:{x:o[0],y:o[1]}};c?c.emit(f):i.emit(f)}e.hoverData.cxtDragged=!1,e.hoverData.which=null}else if(1===e.hoverData.which){if(null!=c||e.dragData.didDrag||e.hoverData.selecting||e.hoverData.dragged||n(r)||(i.$((function(e){return e.selected()})).unselect(),l.length>0&&e.redrawHint("eles",!0),e.dragData.possibleDragElements=l=[]),t(s,["mouseup","tapend","vmouseup"],r,{position:{x:o[0],y:o[1]}}),e.dragData.didDrag||e.hoverData.dragged||e.hoverData.selecting||e.hoverData.isOverThresholdDrag||t(c,["click","tap","vclick"],r,{position:{x:o[0],y:o[1]}}),s!=c||e.dragData.didDrag||e.hoverData.selecting||null!=s&&s._private.selectable&&(e.hoverData.dragging||("additive"===i.selectionType()||u?s.selected()?s.unselect():s.select():u||(i.$(":selected").unmerge(s).unselect(),s.select())),e.redrawHint("eles",!0)),e.hoverData.selecting){var h=i.collection(e.getAllInBox(a[0],a[1],a[2],a[3]));e.redrawHint("select",!0),h.length>0&&e.redrawHint("eles",!0),i.emit("boxend");var g=function(e){return e.selectable()&&!e.selected()};"additive"===i.selectionType()||u||i.$(":selected").unmerge(h).unselect(),h.emit("box").stdFilter(g).select().emit("boxselect"),e.redraw()}if(e.hoverData.dragging&&(e.hoverData.dragging=!1,e.redrawHint("select",!0),e.redrawHint("eles",!0),e.redraw()),!a[4]){e.redrawHint("drag",!0),e.redrawHint("eles",!0);var m=c&&c.grabbed();p(l),m&&c.emit("free")}}a[4]=0,e.hoverData.down=null,e.hoverData.cxtStarted=!1,e.hoverData.draggingEles=!1,e.hoverData.selecting=!1,e.hoverData.isOverThresholdDrag=!1,e.dragData.didDrag=!1,e.hoverData.dragged=!1,e.hoverData.dragDelta=[],e.hoverData.mdownPos=null,e.hoverData.mdownGPos=null}}),!1),e.registerBinding(e.container,"wheel",(function(t){if(!e.scrollingPage){var n,r=e.cy,i=e.projectIntoViewport(t.clientX,t.clientY),o=[i[0]*r.zoom()+r.pan().x,i[1]*r.zoom()+r.pan().y];e.hoverData.draggingEles||e.hoverData.dragging||e.hoverData.cxtStarted||0!==e.selection[4]?t.preventDefault():r.panningEnabled()&&r.userPanningEnabled()&&r.zoomingEnabled()&&r.userZoomingEnabled()&&(t.preventDefault(),e.data.wheelZooming=!0,clearTimeout(e.data.wheelTimeout),e.data.wheelTimeout=setTimeout((function(){e.data.wheelZooming=!1,e.redrawHint("eles",!0),e.redraw()}),150),n=null!=t.deltaY?t.deltaY/-250:null!=t.wheelDeltaY?t.wheelDeltaY/1e3:t.wheelDelta/1e3,n*=e.wheelSensitivity,1===t.deltaMode&&(n*=33),r.zoom({level:r.zoom()*Math.pow(10,n),renderedPosition:{x:o[0],y:o[1]}}))}}),!0),e.registerBinding(window,"scroll",(function(t){e.scrollingPage=!0,clearTimeout(e.scrollingPageTimeout),e.scrollingPageTimeout=setTimeout((function(){e.scrollingPage=!1}),250)}),!0),e.registerBinding(e.container,"mouseout",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseout",position:{x:n[0],y:n[1]}})}),!1),e.registerBinding(e.container,"mouseover",(function(t){var n=e.projectIntoViewport(t.clientX,t.clientY);e.cy.emit({originalEvent:t,type:"mouseover",position:{x:n[0],y:n[1]}})}),!1);var j,P,D,R,I=function(e,t,n,r){return Math.sqrt((n-e)*(n-e)+(r-t)*(r-t))},N=function(e,t,n,r){return(n-e)*(n-e)+(r-t)*(r-t)};if(e.registerBinding(e.container,"touchstart",j=function(n){if(T(n)){e.touchData.capture=!0,e.data.bgActivePosistion=void 0;var r=e.cy,i=e.touchData.now,o=e.touchData.earlier;if(n.touches[0]){var a=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);i[0]=a[0],i[1]=a[1]}if(n.touches[1]&&(a=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),i[2]=a[0],i[3]=a[1]),n.touches[2]&&(a=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),i[4]=a[0],i[5]=a[1]),n.touches[1]){p(e.dragData.touchDragEles);var s=e.findContainerClientCoords();S=s[0],$=s[1],C=s[2],_=s[3],v=n.touches[0].clientX-S,b=n.touches[0].clientY-$,y=n.touches[1].clientX-S,x=n.touches[1].clientY-$,O=0<=v&&v<=C&&0<=y&&y<=C&&0<=b&&b<=_&&0<=x&&x<=_;var c=r.pan(),f=r.zoom();if(w=I(v,b,y,x),k=N(v,b,y,x),E=[((A=[(v+y)/2,(b+x)/2])[0]-c.x)/f,(A[1]-c.y)/f],k<4e4&&!n.touches[2]){var h=e.findNearestElement(i[0],i[1],!0,!0),g=e.findNearestElement(i[2],i[3],!0,!0);return h&&h.isNode()?(h.activate().emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=h):g&&g.isNode()?(g.activate().emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start=g):r.emit({originalEvent:n,type:"cxttapstart",position:{x:i[0],y:i[1]}}),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!0,e.touchData.cxtDragged=!1,e.data.bgActivePosistion=void 0,void e.redraw()}}if(n.touches[2]);else if(n.touches[1]);else if(n.touches[0]){var m=e.findNearestElements(i[0],i[1],!0,!0),j=m[0];if(null!=j&&(j.activate(),e.touchData.start=j,e.touchData.starts=m,e.nodeIsGrabbable(j))){var P=e.dragData.touchDragEles=[],D=null;e.redrawHint("eles",!0),e.redrawHint("drag",!0),j.selected()?(D=r.$((function(t){return t.selected()&&e.nodeIsGrabbable(t)})),u(D,{addToList:P})):d(j,{addToList:P}),l(j);var R=function(e){return{originalEvent:n,type:e,position:{x:i[0],y:i[1]}}};j.emit(R("grabon")),D?D.forEach((function(e){e.emit(R("grab"))})):j.emit(R("grab"))}t(j,["touchstart","tapstart","vmousedown"],n,{position:{x:i[0],y:i[1]}}),null==j&&(e.data.bgActivePosistion={x:a[0],y:a[1]},e.redrawHint("select",!0),e.redraw()),e.touchData.singleTouchMoved=!1,e.touchData.singleTouchStartTime=+new Date,clearTimeout(e.touchData.tapholdTimeout),e.touchData.tapholdTimeout=setTimeout((function(){!1!==e.touchData.singleTouchMoved||e.pinching||e.touchData.selecting||(t(e.touchData.start,["taphold"],n,{position:{x:i[0],y:i[1]}}),e.touchData.start||r.$(":selected").unselect())}),e.tapholdDuration)}if(n.touches.length>=1){for(var M=e.touchData.startPosition=[],z=0;z<i.length;z++)M[z]=o[z]=i[z];var L=n.touches[0];e.touchData.startGPosition=[L.clientX,L.clientY]}}},!1),e.registerBinding(window,"touchmove",P=function(n){var i=e.touchData.capture;if(i||T(n)){var s=e.selection,l=e.cy,c=e.touchData.now,d=e.touchData.earlier,f=l.zoom();if(n.touches[0]){var h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);c[0]=h[0],c[1]=h[1]}n.touches[1]&&(h=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),c[2]=h[0],c[3]=h[1]),n.touches[2]&&(h=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),c[4]=h[0],c[5]=h[1]);var g,m=e.touchData.startGPosition;if(i&&n.touches[0]&&m){for(var A=[],C=0;C<c.length;C++)A[C]=c[C]-d[C];var _=n.touches[0].clientX-m[0],j=_*_,P=n.touches[0].clientY-m[1];g=j+P*P>=e.touchTapThreshold2}if(i&&e.touchData.cxt){n.preventDefault();var D=n.touches[0].clientX-S,R=n.touches[0].clientY-$,M=n.touches[1].clientX-S,z=n.touches[1].clientY-$,L=N(D,R,M,z);if(L/k>=2.25||L>=22500){e.touchData.cxt=!1,e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var B={originalEvent:n,type:"cxttapend",position:{x:c[0],y:c[1]}};e.touchData.start?(e.touchData.start.unactivate().emit(B),e.touchData.start=null):l.emit(B)}}if(i&&e.touchData.cxt){B={originalEvent:n,type:"cxtdrag",position:{x:c[0],y:c[1]}},e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),e.touchData.start?e.touchData.start.emit(B):l.emit(B),e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxtDragged=!0;var F=e.findNearestElement(c[0],c[1],!0,!0);e.touchData.cxtOver&&F===e.touchData.cxtOver||(e.touchData.cxtOver&&e.touchData.cxtOver.emit({originalEvent:n,type:"cxtdragout",position:{x:c[0],y:c[1]}}),e.touchData.cxtOver=F,F&&F.emit({originalEvent:n,type:"cxtdragover",position:{x:c[0],y:c[1]}}))}else if(i&&n.touches[2]&&l.boxSelectionEnabled())n.preventDefault(),e.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,e.touchData.selecting||l.emit("boxstart"),e.touchData.selecting=!0,e.redrawHint("select",!0),s&&0!==s.length&&void 0!==s[0]?(s[2]=(c[0]+c[2]+c[4])/3,s[3]=(c[1]+c[3]+c[5])/3):(s[0]=(c[0]+c[2]+c[4])/3,s[1]=(c[1]+c[3]+c[5])/3,s[2]=(c[0]+c[2]+c[4])/3+1,s[3]=(c[1]+c[3]+c[5])/3+1),s[4]=1,e.touchData.selecting=!0,e.redraw();else if(i&&n.touches[1]&&l.zoomingEnabled()&&l.panningEnabled()&&l.userZoomingEnabled()&&l.userPanningEnabled()){if(n.preventDefault(),e.data.bgActivePosistion=void 0,e.redrawHint("select",!0),ee=e.dragData.touchDragEles){e.redrawHint("drag",!0);for(var q=0;q<ee.length;q++){var V=ee[q]._private;V.grabbed=!1,V.rscratch.inDragLayer=!1}}D=n.touches[0].clientX-S,R=n.touches[0].clientY-$,M=n.touches[1].clientX-S,z=n.touches[1].clientY-$;var U=I(D,R,M,z),H=U/w;if(O){var G=(D-v+(M-y))/2,W=(R-b+(z-x))/2,Y=l.zoom(),X=Y*H,Z=l.pan(),Q=E[0]*Y+Z.x,J=E[1]*Y+Z.y,K={x:-X/Y*(Q-Z.x-G)+Q,y:-X/Y*(J-Z.y-W)+J};if(e.touchData.start&&e.touchData.start.active()){var ee=e.dragData.touchDragEles;p(ee),e.redrawHint("drag",!0),e.redrawHint("eles",!0),e.touchData.start.unactivate().emit("free")}l.viewport({zoom:X,pan:K,cancelOnFailedZoom:!0}),w=U,v=D,b=R,y=M,x=z,e.pinching=!0}n.touches[0]&&(h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY),c[0]=h[0],c[1]=h[1]),n.touches[1]&&(h=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),c[2]=h[0],c[3]=h[1]),n.touches[2]&&(h=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),c[4]=h[0],c[5]=h[1])}else if(n.touches[0]){var te=e.touchData.start,ne=e.touchData.last;if(e.hoverData.draggingEles||e.swipePanning||(F=e.findNearestElement(c[0],c[1],!0,!0)),i&&null!=te&&n.preventDefault(),i&&null!=te&&e.nodeIsDraggable(te))if(g){ee=e.dragData.touchDragEles;var re=!e.dragData.didDrag;re&&u(l.collection(ee),{inDragLayer:!0});for(var ie=0;ie<ee.length;ie++){var oe=ee[ie];if(e.nodeIsDraggable(oe)&&oe.grabbed()){e.dragData.didDrag=!0;var ae=oe.position();r.number(A[0])&&r.number(A[1])&&(ae.x+=A[0],ae.y+=A[1]),re&&(e.redrawHint("eles",!0),(le=e.touchData.dragDelta)&&r.number(le[0])&&r.number(le[1])&&(ae.x+=le[0],ae.y+=le[1]))}}var se=l.collection(ee);se.dirtyCompoundBoundsCache(),se.emit("position drag"),e.hoverData.draggingEles=!0,e.redrawHint("drag",!0),e.touchData.startPosition[0]==d[0]&&e.touchData.startPosition[1]==d[1]&&e.redrawHint("eles",!0),e.redraw()}else{var le;0===(le=e.touchData.dragDelta=e.touchData.dragDelta||[]).length?(le.push(A[0]),le.push(A[1])):(le[0]+=A[0],le[1]+=A[1])}if(t(te||F,["touchmove","tapdrag","vmousemove"],n,{position:{x:c[0],y:c[1]}}),te&&te.grabbed()||F==ne||(ne&&ne.emit({originalEvent:n,type:"tapdragout",position:{x:c[0],y:c[1]}}),F&&F.emit({originalEvent:n,type:"tapdragover",position:{x:c[0],y:c[1]}})),e.touchData.last=F,i)for(q=0;q<c.length;q++)c[q]&&e.touchData.startPosition[q]&&g&&(e.touchData.singleTouchMoved=!0);i&&(null==te||te.isEdge())&&l.panningEnabled()&&l.userPanningEnabled()&&(a(te,e.touchData.starts)&&(n.preventDefault(),e.swipePanning?l.panBy({x:A[0]*f,y:A[1]*f}):g&&(e.swipePanning=!0,l.panBy({x:_*f,y:P*f}),te&&(te.unactivate(),e.data.bgActivePosistion||(e.data.bgActivePosistion=o.array2point(e.touchData.startPosition)),e.redrawHint("select",!0),e.touchData.start=null))),h=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY),c[0]=h[0],c[1]=h[1])}for(C=0;C<c.length;C++)d[C]=c[C]}},!1),e.registerBinding(window,"touchcancel",D=function(t){var n=e.touchData.start;e.touchData.capture=!1,n&&n.unactivate()}),e.registerBinding(window,"touchend",R=function(n){var r=e.touchData.start;if(e.touchData.capture){e.touchData.capture=!1,n.preventDefault();var i=e.selection;e.swipePanning=!1,e.hoverData.draggingEles=!1;var o,a=e.cy,s=a.zoom(),l=e.touchData.now,c=e.touchData.earlier;if(n.touches[0]){var u=e.projectIntoViewport(n.touches[0].clientX,n.touches[0].clientY);l[0]=u[0],l[1]=u[1]}if(n.touches[1]&&(u=e.projectIntoViewport(n.touches[1].clientX,n.touches[1].clientY),l[2]=u[0],l[3]=u[1]),n.touches[2]&&(u=e.projectIntoViewport(n.touches[2].clientX,n.touches[2].clientY),l[4]=u[0],l[5]=u[1]),r&&r.unactivate(),e.touchData.cxt){if(o={originalEvent:n,type:"cxttapend",position:{x:l[0],y:l[1]}},r?r.emit(o):a.emit(o),!e.touchData.cxtDragged){var d={originalEvent:n,type:"cxttap",position:{x:l[0],y:l[1]}};r?r.emit(d):a.emit(d)}return e.touchData.start&&(e.touchData.start._private.grabbed=!1),e.touchData.cxt=!1,e.touchData.start=null,void e.redraw()}if(!n.touches[2]&&a.boxSelectionEnabled()&&e.touchData.selecting){e.touchData.selecting=!1;var f=a.collection(e.getAllInBox(i[0],i[1],i[2],i[3]));i[0]=void 0,i[1]=void 0,i[2]=void 0,i[3]=void 0,i[4]=0,e.redrawHint("select",!0),a.emit("boxend"),f.emit("box").stdFilter((function(e){return e.selectable()&&!e.selected()})).select().emit("boxselect"),f.nonempty()&&e.redrawHint("eles",!0),e.redraw()}if(null!=r&&r.unactivate(),n.touches[2])e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);else if(n.touches[1]);else if(n.touches[0]);else if(!n.touches[0]){e.data.bgActivePosistion=void 0,e.redrawHint("select",!0);var h=e.dragData.touchDragEles;if(null!=r){var g=r._private.grabbed;p(h),e.redrawHint("drag",!0),e.redrawHint("eles",!0),g&&r.emit("free"),t(r,["touchend","tapend","vmouseup","tapdragout"],n,{position:{x:l[0],y:l[1]}}),r.unactivate(),e.touchData.start=null}else{var m=e.findNearestElement(l[0],l[1],!0,!0);t(m,["touchend","tapend","vmouseup","tapdragout"],n,{position:{x:l[0],y:l[1]}})}var v=e.touchData.startPosition[0]-l[0],b=v*v,y=e.touchData.startPosition[1]-l[1],x=(b+y*y)*s*s;null!=r&&!e.dragData.didDrag&&r._private.selectable&&x<e.touchTapThreshold2&&!e.pinching&&("single"===a.selectionType()?(a.$(":selected").unmerge(r).unselect(),r.select()):r.selected()?r.unselect():r.select(),e.redrawHint("eles",!0)),e.touchData.singleTouchMoved||t(r,["tap","vclick"],n,{position:{x:l[0],y:l[1]}}),e.touchData.singleTouchMoved=!0}for(var w=0;w<l.length;w++)c[w]=l[w];e.dragData.didDrag=!1,0===n.touches.length&&(e.touchData.dragDelta=[],e.touchData.startPosition=null,e.touchData.startGPosition=null),n.touches.length<2&&(e.pinching=!1,e.redrawHint("eles",!0),e.redraw())}},!1),"undefined"==typeof TouchEvent){var M=[],z=function(e){return{clientX:e.clientX,clientY:e.clientY,force:1,identifier:e.pointerId,pageX:e.pageX,pageY:e.pageY,radiusX:e.width/2,radiusY:e.height/2,screenX:e.screenX,screenY:e.screenY,target:e.target}},L=function(e){M.push(function(e){return{event:e,touch:z(e)}}(e))},B=function(e){for(var t=0;t<M.length;t++)if(M[t].event.pointerId===e.pointerId)return void M.splice(t,1)},F=function(e){e.touches=M.map((function(e){return e.touch}))},q=function(e){return"mouse"===e.pointerType||4===e.pointerType};e.registerBinding(e.container,"pointerdown",(function(e){q(e)||(e.preventDefault(),L(e),F(e),j(e))})),e.registerBinding(e.container,"pointerup",(function(e){q(e)||(B(e),F(e),R(e))})),e.registerBinding(e.container,"pointercancel",(function(e){q(e)||(B(e),F(e),D())})),e.registerBinding(e.container,"pointermove",(function(e){q(e)||(e.preventDefault(),function(e){var t=M.filter((function(t){return t.event.pointerId===e.pointerId}))[0];t.event=e,t.touch=z(e)}(e),F(e),P(e))}))}},e.exports=a},function(e,t,n){"use strict";var r=n(2),i={generatePolygon:function(e,t){return this.nodeShapes[e]={renderer:this,name:e,points:t,draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl("polygon",e,t,n,r,i,this.points)},intersectLine:function(e,t,n,i,o,a,s){return r.polygonIntersectLine(o,a,this.points,e,t,n/2,i/2,s)},checkPoint:function(e,t,n,i,o,a,s){return r.pointInsidePolygon(e,t,this.points,a,s,i,o,[0,-1],n)}}},generateEllipse:function(){return this.nodeShapes.ellipse={renderer:this,name:"ellipse",draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){return r.intersectLineEllipse(o,a,e,t,n/2+s,i/2+s)},checkPoint:function(e,t,n,i,o,a,s){return r.checkInEllipse(e,t,i,o,a,s,n)}}},generateRoundRectangle:function(){return this.nodeShapes.roundrectangle={renderer:this,name:"roundrectangle",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){return r.roundRectangleIntersectLine(o,a,e,t,n,i,s)},checkPoint:function(e,t,n,i,o,a,s){var l=r.getRoundRectangleRadius(i,o),c=2*l;return!!(r.pointInsidePolygon(e,t,this.points,a,s,i,o-c,[0,-1],n)||r.pointInsidePolygon(e,t,this.points,a,s,i-c,o,[0,-1],n)||r.checkInEllipse(e,t,c,c,a-i/2+l,s-o/2+l,n)||r.checkInEllipse(e,t,c,c,a+i/2-l,s-o/2+l,n)||r.checkInEllipse(e,t,c,c,a+i/2-l,s+o/2-l,n)||r.checkInEllipse(e,t,c,c,a-i/2+l,s+o/2-l,n))}}},generateCutRectangle:function(){return this.nodeShapes.cutrectangle={renderer:this,name:"cutrectangle",cornerLength:r.getCutRectangleCornerLength(),points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},generateCutTrianglePts:function(e,t,n,r){var i=this.cornerLength,o=t/2,a=e/2,s=n-a,l=n+a,c=r-o,u=r+o;return{topLeft:[s,c+i,s+i,c,s+i,c+i],topRight:[l-i,c,l,c+i,l-i,c+i],bottomRight:[l,u-i,l-i,u,l-i,u-i],bottomLeft:[s+i,u,s,u-i,s+i,u-i]}},intersectLine:function(e,t,n,i,o,a,s){var l=this.generateCutTrianglePts(n+2*s,i+2*s,e,t),c=[].concat.apply([],[l.topLeft.splice(0,4),l.topRight.splice(0,4),l.bottomRight.splice(0,4),l.bottomLeft.splice(0,4)]);return r.polygonIntersectLine(o,a,c,e,t)},checkPoint:function(e,t,n,i,o,a,s){if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-2*this.cornerLength,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-2*this.cornerLength,o,[0,-1],n))return!0;var l=this.generateCutTrianglePts(i,o,a,s);return r.pointInsidePolygonPoints(e,t,l.topLeft)||r.pointInsidePolygonPoints(e,t,l.topRight)||r.pointInsidePolygonPoints(e,t,l.bottomRight)||r.pointInsidePolygonPoints(e,t,l.bottomLeft)}}},generateBarrel:function(){return this.nodeShapes.barrel={renderer:this,name:"barrel",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){var l=this.generateBarrelBezierPts(n+2*s,i+2*s,e,t),c=function(e){var t=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.15),n=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.5),i=r.qbezierPtAt({x:e[0],y:e[1]},{x:e[2],y:e[3]},{x:e[4],y:e[5]},.85);return[e[0],e[1],t.x,t.y,n.x,n.y,i.x,i.y,e[4],e[5]]},u=[].concat(c(l.topLeft),c(l.topRight),c(l.bottomRight),c(l.bottomLeft));return r.polygonIntersectLine(o,a,u,e,t)},generateBarrelBezierPts:function(e,t,n,i){var o=t/2,a=e/2,s=n-a,l=n+a,c=i-o,u=i+o,d=r.getBarrelCurveConstants(e,t),p=d.heightOffset,f=d.widthOffset,h=d.ctrlPtOffsetPct*e,g={topLeft:[s,c+p,s+h,c,s+f,c],topRight:[l-f,c,l-h,c,l,c+p],bottomRight:[l,u-p,l-h,u,l-f,u],bottomLeft:[s+f,u,s+h,u,s,u-p]};return g.topLeft.isTop=!0,g.topRight.isTop=!0,g.bottomLeft.isBottom=!0,g.bottomRight.isBottom=!0,g},checkPoint:function(e,t,n,i,o,a,s){var l=r.getBarrelCurveConstants(i,o),c=l.heightOffset,u=l.widthOffset;if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-2*c,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-2*u,o,[0,-1],n))return!0;for(var d=this.generateBarrelBezierPts(i,o,a,s),p=function(e,t,n){var i=n[4],o=n[2],a=n[0],s=n[5],l=n[1],c=Math.min(i,a),u=Math.max(i,a),d=Math.min(s,l),p=Math.max(s,l);if(c<=e&&e<=u&&d<=t&&t<=p){var f=r.bezierPtsToQuadCoeff(i,o,a),h=r.solveQuadratic(f[0],f[1],f[2],e).filter((function(e){return 0<=e&&e<=1}));if(h.length>0)return h[0]}return null},f=Object.keys(d),h=0;h<f.length;h++){var g=d[f[h]],m=p(e,t,g);if(null!=m){var v=g[5],b=g[3],y=g[1],x=r.qbezierAt(v,b,y,m);if(g.isTop&&x<=t)return!0;if(g.isBottom&&t<=x)return!0}}return!1}}},generateBottomRoundrectangle:function(){return this.nodeShapes.bottomroundrectangle={renderer:this,name:"bottomroundrectangle",points:r.generateUnitNgonPointsFitToSquare(4,0),draw:function(e,t,n,r,i){this.renderer.nodeShapeImpl(this.name,e,t,n,r,i)},intersectLine:function(e,t,n,i,o,a,s){var l=e-(n/2+s),c=t-(i/2+s),u=c,d=e+(n/2+s),p=r.finiteLinesIntersect(o,a,e,t,l,c,d,u,!1);return p.length>0?p:r.roundRectangleIntersectLine(o,a,e,t,n,i,s)},checkPoint:function(e,t,n,i,o,a,s){var l=r.getRoundRectangleRadius(i,o),c=2*l;if(r.pointInsidePolygon(e,t,this.points,a,s,i,o-c,[0,-1],n))return!0;if(r.pointInsidePolygon(e,t,this.points,a,s,i-c,o,[0,-1],n))return!0;var u=i/2+2*n,d=o/2+2*n,p=[a-u,s-d,a-u,s,a+u,s,a+u,s-d];return!!r.pointInsidePolygonPoints(e,t,p)||!!r.checkInEllipse(e,t,c,c,a+i/2-l,s+o/2-l,n)||!!r.checkInEllipse(e,t,c,c,a-i/2+l,s+o/2-l,n)}}},registerNodeShapes:function(){var e=this.nodeShapes={},t=this;this.generateEllipse(),this.generatePolygon("triangle",r.generateUnitNgonPointsFitToSquare(3,0)),this.generatePolygon("rectangle",r.generateUnitNgonPointsFitToSquare(4,0)),e.square=e.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle(),this.generatePolygon("diamond",[0,1,1,0,0,-1,-1,0]),this.generatePolygon("pentagon",r.generateUnitNgonPointsFitToSquare(5,0)),this.generatePolygon("hexagon",r.generateUnitNgonPointsFitToSquare(6,0)),this.generatePolygon("heptagon",r.generateUnitNgonPointsFitToSquare(7,0)),this.generatePolygon("octagon",r.generateUnitNgonPointsFitToSquare(8,0));var n=new Array(20),i=r.generateUnitNgonPoints(5,0),o=r.generateUnitNgonPoints(5,Math.PI/5),a=.5*(3-Math.sqrt(5));a*=1.57;for(var s=0;s<o.length/2;s++)o[2*s]*=a,o[2*s+1]*=a;for(s=0;s<5;s++)n[4*s]=i[2*s],n[4*s+1]=i[2*s+1],n[4*s+2]=o[2*s],n[4*s+3]=o[2*s+1];n=r.fitPolygonToSquare(n),this.generatePolygon("star",n),this.generatePolygon("vee",[-1,-1,0,-.333,1,-1,0,1]),this.generatePolygon("rhomboid",[-1,-1,.333,-1,1,1,-.333,1]),this.generatePolygon("concavehexagon",[-1,-.95,-.75,0,-1,.95,1,.95,.75,0,1,-.95]),this.generatePolygon("tag",[-1,-1,.25,-1,1,0,.25,1,-1,1]),e.makePolygon=function(e){var n,r="polygon-"+e.join("$");return(n=this[r])?n:t.generatePolygon(r,e)}}};e.exports=i},function(e,t,n){"use strict";var r=n(1),i={timeToRender:function(){return this.redrawTotalTime/this.redrawCount},redraw:function(e){e=e||r.staticEmptyObject();var t=this;void 0===t.averageRedrawTime&&(t.averageRedrawTime=0),void 0===t.lastRedrawTime&&(t.lastRedrawTime=0),void 0===t.lastDrawTime&&(t.lastDrawTime=0),t.requestedFrame=!0,t.renderOptions=e},beforeRender:function(e,t){if(!this.destroyed){t=t||0;var n=this.beforeRenderCallbacks;n.push({fn:e,priority:t}),n.sort((function(e,t){return t.priority-e.priority}))}}},o=function(e,t,n){for(var r=e.beforeRenderCallbacks,i=0;i<r.length;i++)r[i].fn(t,n)};i.startRenderLoop=function(){var e=this;e.renderLoopStarted||(e.renderLoopStarted=!0,r.requestAnimationFrame((function t(n){if(!e.destroyed){if(e.requestedFrame&&!e.skipFrame){o(e,!0,n);var i=r.performanceNow();e.render(e.renderOptions);var a=e.lastDrawTime=r.performanceNow();void 0===e.averageRedrawTime&&(e.averageRedrawTime=a-i),void 0===e.redrawCount&&(e.redrawCount=0),e.redrawCount++,void 0===e.redrawTotalTime&&(e.redrawTotalTime=0);var s=a-i;e.redrawTotalTime+=s,e.lastRedrawTime=s,e.averageRedrawTime=e.averageRedrawTime/2+s/2,e.requestedFrame=!1}else o(e,!1,n);e.skipFrame=!1,r.requestAnimationFrame(t)}})))},e.exports=i},function(e,t,n){"use strict";var r=n(1),i=n(0),o=n(124),a=n(125),s=c,l=c.prototype;function c(e){var t=this;t.data={canvases:new Array(l.CANVAS_LAYERS),contexts:new 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r=t._private.rscratch,i="haystack"===r.edgeType;i||this.drawArrowhead(e,t,"source",r.arrowStartX,r.arrowStartY,r.srcArrowAngle,n),this.drawArrowhead(e,t,"mid-target",r.midX,r.midY,r.midtgtArrowAngle,n),this.drawArrowhead(e,t,"mid-source",r.midX,r.midY,r.midsrcArrowAngle,n),i||(t.hasClass("horizontal")?this.drawArrowhead(e,t,"target",r.arrowEndX,r.arrowEndY,-Math.PI/2,n):t.hasClass("vertical")?this.drawArrowhead(e,t,"target",r.arrowEndX,r.arrowEndY,0,n):this.drawArrowhead(e,t,"target",r.arrowEndX,r.arrowEndY,r.tgtArrowAngle,n))},drawArrowhead:function(e,t,n,r,i,o,a){if(!(isNaN(r)||null==r||isNaN(i)||null==i||isNaN(o)||null==o)){var s=t.pstyle(n+"-arrow-shape").value;if("none"!==s){var l="hollow"===t.pstyle(n+"-arrow-fill").value?"both":"filled",c=t.pstyle(n+"-arrow-fill").value,u=t.pstyle("width").pfValue,d=t.pstyle("opacity").value;void 0===a&&(a=d);var p=e.globalCompositeOperation;1===a&&"hollow"!==c||(e.globalCompositeOperation="destination-out",this.fillStyle(e,255,255,255,1),this.strokeStyle(e,255,255,255,1),this.drawArrowShape(t,n,e,l,u,s,r,i,o),e.globalCompositeOperation=p);var f=t.pstyle(n+"-arrow-color").value;this.fillStyle(e,f[0],f[1],f[2],a),this.strokeStyle(e,f[0],f[1],f[2],a),this.drawArrowShape(t,n,e,c,u,s,r,i,o)}}},drawArrowShape:function(e,t,n,r,i,o,a,s,l){var c=this.usePaths(),u=e._private.rscratch,d=!1,p=void 0,f=n,h={x:a,y:s},g=e.pstyle("arrow-scale").value,m=this.getArrowWidth(i,g),v=this.arrowShapes[o];if(c){var b=m+"$"+o+"$"+l+"$"+a+"$"+s;u.arrowPathCacheKey=u.arrowPathCacheKey||{},u.arrowPathCache=u.arrowPathCache||{},u.arrowPathCacheKey[t]===b?(p=n=u.arrowPathCache[t],d=!0):(p=n=new 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o=this,a=n.position(),s=a.x,l=a.y,c=n.cy().style(),u=c.getIndexedStyle.bind(c),d=u(n,"background-fit","value",r),p=u(n,"background-repeat","value",r),f=n.width(),h=n.height(),g=2*n.padding(),m=f+("inner"===u(n,"background-width-relative-to","value",r)?0:g),v=h+("inner"===u(n,"background-height-relative-to","value",r)?0:g),b=n._private.rscratch,y="node"===n.pstyle("background-clip").value,x=u(n,"background-image-opacity","value",r)*i,w=t.width||t.cachedW,k=t.height||t.cachedH;null!=w&&null!=k||(document.body.appendChild(t),w=t.cachedW=t.width||t.offsetWidth,k=t.cachedH=t.height||t.offsetHeight,document.body.removeChild(t));var A=w,E=k;if("auto"!==u(n,"background-width","value",r)&&(A="%"===u(n,"background-width","units",r)?u(n,"background-width","pfValue",r)*m:u(n,"background-width","pfValue",r)),"auto"!==u(n,"background-height","value",r)&&(E="%"===u(n,"background-height","units",r)?u(n,"background-height","pfValue",r)*v:u(n,"background-height","pfValue",r)),0!==A&&0!==E){if("contain"===d)A*=S=Math.min(m/A,v/E),E*=S;else if("cover"===d){var S;A*=S=Math.max(m/A,v/E),E*=S}var $=s-m/2;"%"===u(n,"background-position-x","units",r)?$+=(m-A)*u(n,"background-position-x","pfValue",r):$+=u(n,"background-position-x","pfValue",r);var C=l-v/2;"%"===u(n,"background-position-y","units",r)?C+=(v-E)*u(n,"background-position-y","pfValue",r):C+=u(n,"background-position-y","pfValue",r),b.pathCache&&($-=s,C-=l,s=0,l=0);var 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i=t.pstyle("text-halign").strValue;switch(t.pstyle("text-valign").strValue,i){case"left":e.textAlign="right";break;case"right":e.textAlign="left";break;default:e.textAlign="center"}e.textBaseline="bottom"}else{var o=t.pstyle("label"),a=t.pstyle("source-label"),s=t.pstyle("target-label");if(!(o&&o.value||a&&a.value||s&&s.value))return;e.textAlign="center",e.textBaseline="bottom"}r.drawText(e,t),t.isEdge()&&(r.drawText(e,t,"source"),r.drawText(e,t,"target"))}};o.drawNodeText=o.drawEdgeText=o.drawElementText,o.getFontCache=function(e){var t;this.fontCaches=this.fontCaches||[];for(var n=0;n<this.fontCaches.length;n++)if((t=this.fontCaches[n]).context===e)return t;return t={context:e},this.fontCaches.push(t),t},o.setupTextStyle=function(e,t){var n=t.effectiveOpacity(),r=t.pstyle("font-style").strValue,i=t.pstyle("font-size").pfValue+"px",o=t.pstyle("font-family").strValue,a=t.pstyle("font-weight").strValue,s=t.pstyle("text-opacity").value*t.pstyle("opacity").value*n,l=t.pstyle("text-outline-opacity").value*s,c=t.pstyle("color").value,u=t.pstyle("text-outline-color").value,d=t._private.fontKey,p=this.getFontCache(e);p.key!==d&&(e.font=r+" "+a+" "+i+" "+o,p.key=d),e.lineJoin="round",this.fillStyle(e,c[0],c[1],c[2],s),this.strokeStyle(e,u[0],u[1],u[2],l)},o.drawText=function(e,t,n){var i=t._private.rscratch,o=t.effectiveOpacity();if(0!==o&&0!==t.pstyle("text-opacity").value){var a,s,l,c,u,d,p=r.getPrefixedProperty(i,"labelX",n),f=r.getPrefixedProperty(i,"labelY",n),h=this.getLabelText(t,n);if(null!=h&&""!==h&&!isNaN(p)&&!isNaN(f)){this.setupTextStyle(e,t);var g=n?n+"-":"",m=r.getPrefixedProperty(i,"labelWidth",n),v=r.getPrefixedProperty(i,"labelHeight",n),b=r.getPrefixedProperty(i,"labelAngle",n),y=t.pstyle(g+"text-margin-x").pfValue,x=t.pstyle(g+"text-margin-y").pfValue,w=t.isEdge(),k=(t.isNode(),t.pstyle("text-halign").value),A=t.pstyle("text-valign").value;w&&(k="center",A="center"),p+=y,f+=x;var E,S=t.pstyle("text-rotation");if(0!==(E="autorotate"===S.strValue?w?b:0:"none"===S.strValue?0:S.pfValue)){var $=p,C=f;e.translate($,C),e.rotate(E),p=0,f=0}switch(A){case"top":break;case"center":f+=v/2;break;case"bottom":f+=v}var _=t.pstyle("text-background-opacity").value,O=t.pstyle("text-border-opacity").value,T=t.pstyle("text-border-width").pfValue,j=t.pstyle("text-background-padding").pfValue;if(_>0||T>0&&O>0){var P=p-j;switch(k){case"left":P-=m;break;case"center":P-=m/2}var D=f-v-j,R=m+2*j,I=v+2*j;if(_>0){var N=e.fillStyle,M=t.pstyle("text-background-color").value;e.fillStyle="rgba("+M[0]+","+M[1]+","+M[2]+","+_*o+")","roundrectangle"==t.pstyle("text-background-shape").strValue?(s=P,l=D,c=R,u=I,d=(d=2)||5,(a=e).beginPath(),a.moveTo(s+d,l),a.lineTo(s+c-d,l),a.quadraticCurveTo(s+c,l,s+c,l+d),a.lineTo(s+c,l+u-d),a.quadraticCurveTo(s+c,l+u,s+c-d,l+u),a.lineTo(s+d,l+u),a.quadraticCurveTo(s,l+u,s,l+u-d),a.lineTo(s,l+d),a.quadraticCurveTo(s,l,s+d,l),a.closePath(),a.fill()):e.fillRect(P,D,R,I),e.fillStyle=N}if(T>0&&O>0){var z=e.strokeStyle,L=e.lineWidth,B=t.pstyle("text-border-color").value,F=t.pstyle("text-border-style").value;if(e.strokeStyle="rgba("+B[0]+","+B[1]+","+B[2]+","+O*o+")",e.lineWidth=T,e.setLineDash)switch(F){case"dotted":e.setLineDash([1,1]);break;case"dashed":e.setLineDash([4,2]);break;case"double":e.lineWidth=T/4,e.setLineDash([]);break;case"solid":e.setLineDash([])}if(e.strokeRect(P,D,R,I),"double"===F){var q=T/2;e.strokeRect(P+q,D+q,R-2*q,I-2*q)}e.setLineDash&&e.setLineDash([]),e.lineWidth=L,e.strokeStyle=z}}var V=2*t.pstyle("text-outline-width").pfValue;if(V>0&&(e.lineWidth=V),"wrap"===t.pstyle("text-wrap").value){var U=r.getPrefixedProperty(i,"labelWrapCachedLines",n),H=v/U.length;switch(A){case"top":f-=(U.length-1)*H;break;case"center":case"bottom":f-=(U.length-1)*H}for(var G=0;G<U.length;G++)V>0&&e.strokeText(U[G],p,f),e.fillText(U[G],p,f),f+=H}else V>0&&e.strokeText(h,p,f),e.fillText(h,p,f);0!==E&&(e.rotate(-E),e.translate(-$,-C))}}},e.exports=o},function(e,t,n){"use strict";var r=n(0),i={drawNode:function(e,t,n,i){var o,a,s=this,l=t._private,c=l.rscratch,u=t.position();if(r.number(u.x)&&r.number(u.y)&&t.visible()){var d=t.effectiveOpacity(),p=s.usePaths(),f=void 0,h=!1,g=t.padding();o=t.width()+2*g,a=t.height()+2*g;var m=void 0;n&&(m=n,e.translate(-m.x1,-m.y1));for(var v=t.pstyle("background-image").value,b=new Array(v.length),y=new Array(v.length),x=0,w=0;w<v.length;w++){var k=v[w];if(b[w]=null!=k&&"none"!==k){var A=t.cy().style().getIndexedStyle(t,"background-image-crossorigin","value",w);x++,y[w]=s.getCachedImage(k,A,(function(){t.emitAndNotify("background")}))}}var E=t.pstyle("background-blacken").value,S=t.pstyle("border-width").pfValue,$=t.pstyle("background-color").value,C=t.pstyle("background-opacity").value*d,_=t.pstyle("border-color").value,O=t.pstyle("border-style").value,T=t.pstyle("border-opacity").value*d;e.lineJoin="miter";var j=function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:C;s.fillStyle(e,$[0],$[1],$[2],t)},P=function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:T;s.strokeStyle(e,_[0],_[1],_[2],t)},D=t.pstyle("shape").strValue,R=t.pstyle("shape-polygon-points").pfValue;if(p){var I=D+"$"+o+"$"+a+("polygon"===D?"$"+R.join("$"):"");e.translate(u.x,u.y),c.pathCacheKey===I?(f=c.pathCache,h=!0):(f=new Path2D,c.pathCacheKey=I,c.pathCache=f)}var N,M,z,L=function(){if(!h){var n=u;p&&(n={x:0,y:0}),s.nodeShapes[s.getNodeShape(t)].draw(f||e,n.x,n.y,o,a)}p?e.fill(f):e.fill()},B=function(){for(var n=arguments.length>0&&void 0!==arguments[0]?arguments[0]:d,r=l.backgrounding,i=0,o=0;o<y.length;o++)b[o]&&y[o].complete&&!y[o].error&&(i++,s.drawInscribedImage(e,y[o],t,o,n));l.backgrounding=!(i===x),r!==l.backgrounding&&t.updateStyle(!1)},F=function(){var n=arguments.length>0&&void 0!==arguments[0]&&arguments[0],r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:d;s.hasPie(t)&&(s.drawPie(e,t,r),n&&(p||s.nodeShapes[s.getNodeShape(t)].draw(e,u.x,u.y,o,a)))},q=function(){var t=arguments.length>0&&void 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U=t.pstyle("ghost-offset-x").pfValue,H=t.pstyle("ghost-offset-y").pfValue,G=t.pstyle("ghost-opacity").value,W=G*d;e.translate(U,H),j(G*C),L(),B(W),F(0!==E||0!==S),q(W),P(G*T),V(),e.translate(-U,-H)}j(),L(),B(),F(0!==E||0!==S),q(),P(),V(),p&&e.translate(-u.x,-u.y),s.drawElementText(e,t,i),N=t.pstyle("overlay-padding").pfValue,M=t.pstyle("overlay-opacity").value,z=t.pstyle("overlay-color").value,M>0&&(s.fillStyle(e,z[0],z[1],z[2],M),s.nodeShapes.roundrectangle.draw(e,u.x,u.y,o+2*N,a+2*N),e.fill()),n&&e.translate(m.x1,m.y1)}},hasPie:function(e){return(e=e[0])._private.hasPie},drawPie:function(e,t,n,r){t=t[0],r=r||t.position();var i=t.cy().style(),o=t.pstyle("pie-size"),a=r.x,s=r.y,l=t.width(),c=t.height(),u=Math.min(l,c)/2,d=0;this.usePaths()&&(a=0,s=0),"%"===o.units?u*=o.pfValue:void 0!==o.pfValue&&(u=o.pfValue/2);for(var p=1;p<=i.pieBackgroundN;p++){var f=t.pstyle("pie-"+p+"-background-size").value,h=t.pstyle("pie-"+p+"-background-color").value,g=t.pstyle("pie-"+p+"-background-opacity").value*n,m=f/100;m+d>1&&(m=1-d);var v=1.5*Math.PI+2*Math.PI*d,b=v+2*Math.PI*m;0===f||d>=1||d+m>1||(e.beginPath(),e.moveTo(a,s),e.arc(a,s,u,v,b),e.closePath(),this.fillStyle(e,h[0],h[1],h[2],g),e.fill(),d+=m)}}};e.exports=i},function(e,t,n){"use strict";var r={},i=n(1);r.getPixelRatio=function(){var e=this.data.contexts[0];if(null!=this.forcedPixelRatio)return this.forcedPixelRatio;var t=e.backingStorePixelRatio||e.webkitBackingStorePixelRatio||e.mozBackingStorePixelRatio||e.msBackingStorePixelRatio||e.oBackingStorePixelRatio||e.backingStorePixelRatio||1;return(window.devicePixelRatio||1)/t},r.paintCache=function(e){for(var t,n=this.paintCaches=this.paintCaches||[],r=!0,i=0;i<n.length;i++)if((t=n[i]).context===e){r=!1;break}return 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r=n(9),i=n(429);n(33);n(206),r.module("dbt").directive("docsSearch",["$sce","project",function(e,t){return{scope:{query:"=",results:"=",onSelect:"&"},replace:!0,templateUrl:i,link:function(n){n.max_results=20,n.show_all=!1,n.max_results_columns=3,n.limit_columns={},n.checkboxStatus={show_names:!1,show_descriptions:!1,show_columns:!1,show_column_descriptions:!1,show_code:!1,show_tags:!1},n.limit_search=function(e,t,r){return t<n.max_results||n.show_all},n.getState=function(e){return"dbt."+e.resource_type},n.getModelName=function(e){return"source"==e.resource_type?e.source_name+"."+e.name:"macro"==e.resource_type?e.package_name+"."+e.name:"metric"==e.resource_type?e.label:"semantic_model"==e.resource_type?e.name:"exposure"==e.resource_type||"model"==e.resource_type&&null!=e.version?e.label:e.name};function r(e){return e.replace(/[.*+\-?^${}()|[\]\\]/g,"\\$&")}function i(e){return _.words(e.toLowerCase())}n.$watchGroup(["query","checkboxStatus.show_names","checkboxStatus.show_descriptions","checkboxStatus.show_columns","checkboxStatus.show_column_descriptions","checkboxStatus.show_code","checkboxStatus.show_tags"],(function(){n.results=function(e,t){if(!_.some(_.values(t)))return e;let n=[],r=[];const{show_names:i,show_descriptions:o,show_columns:a,show_column_descriptions:s,show_code:l,show_tags:c}=t;return _.each(e,(function(e){_.each(e.matches,(function(t){if(!r.includes(e.model.unique_id)){const u=i&&("name"===t.key||"label"==t.key),d=o&&"description"==t.key,p=a&&"columns"===t.key,f=s&&"column_description"===t.key,h=l&&"raw_code"===t.key,g=c&&"tags"===t.key;(u||d||p||f||h||g)&&(r.push(e.model.unique_id),n.push(e))}}))})),n}(t.search(n.query),n.checkboxStatus)})),n.shorten=function(e){if(null!=e&&e.trim().length>0&&null!=n.query&&n.query.trim().length>0){let t=e.replace(/\s+/g," "),o=r(i(n.query)[0]),a=t.search(new RegExp(o)),s=a-75<0?0:a-75,l=a+75>t.length?t.length:a+75;return"..."+t.substring(s,l)+"..."}return e},n.highlight=function(t){if(!n.query||!t)return e.trustAsHtml(t);let o="("+i(n.query).map(e=>r(e)).join(")|(")+")";return e.trustAsHtml(t.replace(new RegExp(o,"gi"),'<span class="search-result-match">$&</span>'))},n.$watch("query",(function(e,t){0==e.length&&(n.show_all=!1,n.limit_columns={})})),n.columnFilter=function(e){var t=[];let r=i(n.query);for(var o in e)r.every(e=>-1!=o.toLowerCase().indexOf(e))&&t.push(o);return t},n.limitColumns=function(e){return void 0!==n.limit_columns[e]?n.limit_columns[e]:3}}}}])},function(e,t){var n="/components/search/search.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="app-scroll">\n    <style>\n    .search-result-match {\n        background-color: #eee;\n    }\n    .spacing {\n        margin-right: 0.25em;\n    }\n    .sub-results {\n        margin-left: 36px;\n    }\n    </style>\n    <div class="app-title">\n        <div class="app-frame app-pad">\n            <h1>\n                <span class="break">{{ query }}</span>\n                <small><span>{{ results.length }}</span> search results</small>\n            </h1>\n            <input type="checkbox" id="name" ng-model="checkboxStatus.show_names" ng-click="filterResults(results, checkboxStatus)" style = "margin-left:10px;margin-right:5px">\n            <label for="name" style="margin-right:25px">Name</label> \n            <input type="checkbox" id="desc" ng-model="checkboxStatus.show_descriptions" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="desc" style="margin-right:25px;">Description</label> \n            <input type="checkbox" id="column" ng-model="checkboxStatus.show_columns" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="column" style="margin-right:25px;">Column</label> \n            <input type="checkbox" id="column_description" ng-model="checkboxStatus.show_column_descriptions" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="column_description" style="margin-right:25px;">Column Description</label>\n            <input type="checkbox" id="code" ng-model="checkboxStatus.show_code" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="code" style="margin-right:15px;">SQL</label>\n            <input type="checkbox" id="tag" ng-model="checkboxStatus.show_tags" ng-click = "filterResults(results, checkboxStatus)" style = "margin-right:5px">\n            <label for="code" style="margin-right:15px;">Tags</label>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <div class="results">\n                <div ng-repeat="result in results | filter:limit_search | orderBy:\'overallWeight\':true track by result.model.unique_id"\n                     data-ui-state="getState(result.model)" data-ui-state-params="{unique_id: result.model.unique_id}"\n                     ng-click="onSelect()"\n                     class="result search-result a">\n                        <div class="result-content">\n                            <div class="result-icn">\n                                <svg class="icn "><use xlink:href="#icn-doc"></use></svg>\n                            </div>\n                            <div class="result-body">\n                                <h4 class="a">\n                                    <span ng-bind-html="highlight(getModelName(result.model))"></span>\n                                    <small>{{result.model.resource_type}}</small>\n                                </h4>\n                                <p ng-bind-html="highlight(shorten(result.model.description))"></p>\n                            </div>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span ng-repeat="column in columnFilter(result.model.columns) | limitTo:limitColumns(result.model.unique_id)">\n                            <span ng-show="$first === true">columns:</span>\n                            <span ng-bind-html="highlight(column + \',\')" ng-show="$last === false"></span>\n                            <span ng-bind-html="highlight(column)" ng-show="$last === true"></span>\n                        </span>\n                        <a\n                            ng-show="columnFilter(result.model.columns).length > max_results_columns && !limit_columns[result.model.unique_id]"\n                            ng-click="$event.stopPropagation(); limit_columns[result.model.unique_id] = 100">Show {{ columnFilter(result.model.columns).length - max_results_columns }} more</a>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span>\n                            <span ng-bind-html = "highlight(shorten(result.model[\'raw_code\']))"></span>\n                        </span>\n                        </div>\n                        <div class="sub-results" ng-show="query.length > 0">\n                        <span ng-repeat="tag in result.model.tags">\n                            <span ng-show="$first === true">tags:</span>\n                            <span ng-bind-html="highlight(tag + \',\')" ng-show="$last === false"></span>\n                            <span ng-bind-html="highlight(tag)" ng-show="$last === true"></span>\n                        </span>\n                        </div>\n                </div>\n                <a\n                    ng-show="results.length >= max_results && !show_all"\n                    ng-click="show_all = true">Show {{ results.length - max_results }} more</a>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){e.exports={getQuoteChar:function(e){var t=(e||{}).adapter_type;return["bigquery","spark","databricks"].indexOf(t)>=0?"`":'"'}}},function(e,t,n){"use strict";const r=n(432);n(433);const i=n(21);angular.module("dbt").directive("tableDetails",["$sce","$filter","project",function(e,t,n){return{scope:{model:"=",extras:"=",exclude:"<"},templateUrl:r,link:function(e){function r(e,t){if(0==e)return"0 bytes";if(e<1&&(e*=1e6),isNaN(parseFloat(e))||!isFinite(e))return"-";void 0===t&&(t=0);var n=Math.floor(Math.log(e)/Math.log(1024));return(e/Math.pow(1024,Math.floor(n))).toFixed(t)+" "+["bytes","KB","MB","GB","TB","PB"][n]}function o(e,n){return void 0===n&&(n=2),t("number")(100*e,n)+"%"}function a(e,n){return void 0===n&&(n=0),t("number")(e,n)}function s(e){var t,r,o=!e.metadata,a=e.metadata||{};t=e.database?e.database+".":"",r=o?void 0:"source"==e.resource_type?t+e.schema+"."+e.identifier:t+e.schema+"."+e.alias;var s,l=[{name:"Owner",value:e.group?function(e){const{name:t,email:r}=n.project.groups[e].owner,i=[];if(t&&i.push(t),r){const e=i.length>0?`<${r}>`:r;i.push(e)}return i.join(" ")}(`group.${e.package_name}.${e.group}`):a.owner},{name:"Type",value:o?void 0:(s=a.type,"BASE TABLE"==s?{type:"table",name:"table"}:"LATE BINDING VIEW"==s?{type:"view",name:"late binding view"}:{type:s.toLowerCase(),name:s.toLowerCase()}).name},{name:"Package",value:e.package_name},{name:"Language",value:e.language},{name:"Relation",value:r},{name:"Access",value:e.access},{name:"Version",value:e.version},{name:"Contract",value:e.config.contract.enforced?"Enforced":"Not Enforced"}];return i.filter(l,(function(e){return void 0!==e.value}))}e.details=[],e.extended=[],e.exclude=e.exclude||[],e.meta=null,e._show_expanded=!1,e.show_expanded=function(t){return void 0!==t&&(e._show_expanded=t),e._show_expanded},e.hasData=function(e){return!(!e||i.isEmpty(e))&&(1!=e.length||0!=e[0].include)},e.$watch("model",(function(t,n){i.property(["metadata","type"])(t);var l,c,u,d=t.hasOwnProperty("sources")&&null!=t.sources[0]?t.sources[0].source_meta:null;if(e.meta=t.meta||d,e.details=s(t),e.extended=(l=t.stats,c={rows:a,row_count:a,num_rows:a,max_varchar:a,pct_used:o,size:r,bytes:r,num_bytes:r},u=i.sortBy(i.values(l),"label"),i.map(u,(function(e){var t=i.clone(e),n=c[e.id];return n&&(t.value=n(e.value),t.label=e.label.replace("Approximate","~"),t.label=e.label.replace("Utilization","Used")),t}))),e.extras){var p=i.filter(e.extras,(function(e){return void 0!==e.value&&null!==e.value}));e.details=e.details.concat(p)}e.show_extended=i.where(e.extended,{include:!0}).length>0})),e.queryTag=function(t){e.$emit("query",t)}}}}])},function(e,t){var n="/components/table_details/table_details.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="section-content">\n    <h6>Details</h6>\n    <div class="panel">\n        <div class="panel-body">\n            <div class="details">\n                <div class="details-content">\n                    <div class="detail-group" ng-if="hasData(meta)">\n                        <div class="detail-body">\n                            <dl class="detail"\n                                ng-repeat="(k, v) in meta">\n                                <dt class="detail-label">{{ k }}</dt>\n                                <dd class="detail-value">{{ v }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                    <div class="detail-group">\n                        <div class="detail-body">\n                            <dl class=\'detail\' ng-if="model.tags != undefined && exclude.indexOf(\'tags\') == -1">\n                                <dt class="detail-label">Tags</dt>\n                                <dd ng-if="model.tags.length > 0" class="detail-value">\n                                    <span ng-repeat="tag in model.tags"><code><a ng-click=queryTag(tag)>{{ tag }}</a></code>&nbsp;</span>\n                                </dd>\n                                <dd ng-if="model.tags.length == 0" class="detail-value">untagged</dd>\n                            </dl>\n                            <dl class="detail"\n                                ng-repeat="item in details">\n                                <dt class="detail-label">{{ item.name }}</dt>\n                                <dd class="detail-value">{{ item.value }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                    <div class="detail-group" ng-if="hasData(extended)">\n                        <div class="detail-body">\n                            <dl class="detail"\n                                ng-repeat="item in extended"\n                                ng-if="item.include">\n                                <dt data-toggle="tooltip" title="{{ item.description }}" class="detail-label">{{ item.label }}</dt>\n                                <dd class="detail-value">{{ item.value }}</dd>\n                            </dl>\n                        </div>\n                    </div>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){var r=n(434);"string"==typeof r&&(r=[[e.i,r,""]]);var i={hmr:!0,transform:void 0,insertInto:void 0};n(40)(r,i);r.locals&&(e.exports=r.locals)},function(e,t,n){(e.exports=n(39)(!1)).push([e.i,"\n\n.details-content {\n    table-layout: fixed;\n}\n\n.detail-body {\n    white-space: nowrap;\n    overflow-x: scroll;\n}\n",""])},function(e,t,n){"use strict";const r=n(436),i=n(21);angular.module("dbt").directive("columnDetails",["project",function(e){return{scope:{model:"="},templateUrl:r,link:function(t){t.has_test=function(e,t){return-1!=i.pluck(e.tests,"short").indexOf(t)},t.has_constraint=function(e,t){return e.constraints.some(e=>e.type===t)},t.has_more_info=function(e){var t=e.tests||[],n=e.description||"",r=e.meta||{},o=e.constraints||[];return t.length||n.length||o.length||!i.isEmpty(r)},t.toggle_column_expanded=function(e){t.has_more_info(e)&&(e.expanded=!e.expanded)},t.getState=function(e){return"dbt."+e.resource_type},t.get_col_name=function(t){return e.caseColumn(t)},t.get_columns=function(e){var t=i.chain(e.columns).values().sortBy("index").value();return i.each(t,(function(e,t){e.index=t})),t}}}}])},function(e,t){var n="/components/column_details/column_details.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="panel">\n    <div class="panel-body">\n        <div ng-if="_.isEmpty(model.columns)">\n            Column information is not available for this seed\n        </div>\n        <div class="table-responsive"\n             style="max-height: 800px; overflow-y: scroll;"\n             ng-if="!_.isEmpty(model.columns)">\n            <table class="table table-borderless table-hover">\n                <thead>\n                    <tr>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Column</th>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Type</th>\n                        <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Description</th>\n                        <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;">Constraints</th>\n                        <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;">Tests</th>\n                        <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;" class=\'text-center\'>More?</th>\n                    </tr>\n                </thead>\n                <tbody>\n                    <tr\n                        ng-repeat-start="column in get_columns(model) track by column.index"\n                        ng-click="toggle_column_expanded(column)"\n                        class="column-row"\n                        ng-class="{\'column-row-selected\': column.expanded}"\n                        ng-style="{cursor: has_more_info(column) ? \'pointer\' : \'auto\'}">\n                        <td>\n                            <div>\n                                <span class=\'text-dark\'>{{ get_col_name(column.name) }}</span>\n                            </div>\n                        </td>\n                        <td>\n                            <span class=\'text-dark\'>{{ column.type }}</p>\n                        </td>\n                        <td style="text-overflow: ellipsis; overflow-x: hidden; white-space: nowrap; max-width: 1px;">\n                            <span ng-show="!column.expanded">{{ column.description }}</span>\n                        </td>\n                        <td>\n                            <span class="text-light" ng-show="!column.expanded">\n                                <span data-toggle="tooltip" title="Not Null" ng-if="has_constraint(column, \'not_null\')">N</span>\n                                <span data-toggle="tooltip" title="Primary Key" ng-if="has_constraint(column, \'primary_key\')">PK</span>\n                                <span data-toggle="tooltip" title="Foreign Key" ng-if="has_constraint(column, \'foreign_key\')">FK</span>\n                                <span data-toggle="tooltip" title="Check" ng-if="has_constraint(column, \'check\')">C</span>\n                                <span data-toggle="tooltip" title="Custom" ng-if="has_constraint(column, \'custom\')">+</span>\n                            </span>\n                        </td>\n                        <td>\n                            <span class="text-light" ng-show="!column.expanded">\n                                <span data-toggle="tooltip" title="Unique" ng-if="has_test(column, \'U\')">U</span>\n                                <span data-toggle="tooltip" title="Not Null" ng-if="has_test(column, \'N\')">N</span>\n                                <span data-toggle="tooltip" title="Foreign Key" ng-if="has_test(column, \'F\')">F</span>\n                                <span data-toggle="tooltip" title="Accepted Values" ng-if="has_test(column, \'A\')">A</span>\n                                <span data-toggle="tooltip" title="Custom Test" ng-if="has_test(column, \'+\')">+</span>\n                            </span>\n                        </td>\n                        <td class=\'text-center\'>\n                            <span class=\'text-light\' ng-show="has_more_info(column)">\n                                <span ng-if="column.expanded">\n                                    <svg class="icn"><use xlink:href="#icn-up"></use></svg>\n                                </span>\n                                <span ng-if="!column.expanded">\n                                    <svg class="icn"><use xlink:href="#icn-right"></use></svg>\n                                </span>\n                            </span>\n                        </td>\n                    </tr>\n                    <tr ng-repeat-end ng-show="column.expanded" style="background-color: white; padding: 10px">\n                        <td colspan="5" class="column-expanded">\n                            <div style="padding: 5px 20px">\n                                <div ng-show="column.meta">\n                                    <h5>Details</h5>\n                                    <div class="detail-group" style="padding-bottom: 0">\n                                        <div class="detail-body" style="padding-left: 0">\n                                            <dl class="detail"\n                                                ng-style="{\'padding-left\': $index == 0 ? 0 : \'auto\'}"\n                                                ng-repeat="(k, v) in column.meta">\n                                                <dt class="detail-label">{{ k }}</dt>\n                                                <dd class="detail-value">{{ v }}</dd>\n                                            </dl>\n                                        </div>\n                                    </div>\n                                </div>\n\n                                <div style="margin-bottom: 15px" ng-if="column.description.length">\n                                    <h5>Description</h5>\n                                    <span marked="column.description"></span>\n                                </div>\n\n                                <div ng-show="column.constraints && column.constraints.length" style="margin-bottom: 15px">\n                                    <h5>Constraints</h5>\n                                    <div class="detail-group" style="padding-bottom: 0">\n                                        <div class="detail-body" style="padding-left: 0">\n                                            <dl class="detail" ng-style="{\'padding-left\': $index == 0 ? 0 : \'auto\'}"\n                                                ng-repeat="constraint in column.constraints">\n                                                <dt class="detail-label">Name</dt>\n                                                <dd class="detail-value">{{ constraint.name }}</dd>\n                                                <dt class="detail-label">Type</dt>\n                                                <dd class="detail-value">{{ constraint.type }}</dd>\n                                                <dt class="detail-label">Expression</dt>\n                                                <dd class="detail-value">{{ constraint.expression }}</dd>\n                                            </dl>\n                                        </div>\n                                    </div>\n                                </div>\n\n                                <div ng-show="column.tests && column.tests.length" style="margin-bottom: 15px">\n                                    <h5>Generic Tests</h5>\n                                    <ul class="list-unstyled" style="margin-top: 2px">\n                                        <li ng-repeat="test in column.tests" ng-switch on="test.short" class=\'text-light\'>\n                                            <span ng-switch-when="F">\n                                                Foreign Key\n                                                <span ng-if="test.fk_model.unique_id">\n                                                    <a data-ui-state="getState(test.fk_model)"\n                                                        data-ui-state-params="{unique_id: test.fk_model.unique_id}">\n                                                        to {{ test.fk_model.name }}\n                                                    </a> on <code>{{ test.fk_field }}</code>\n                                                </span>\n                                            </span>\n                                            <span ng-switch-when="P">Primary Key</span>\n                                            <span ng-switch-when="U">Unique</span>\n                                            <span ng-switch-when="N">Not Null</span>\n                                            <span ng-switch-default>{{ test.label }}</span>\n                                        </li>\n                                    </ul>\n                                </div>\n                            </div>\n                        </td>\n                    </tr>\n                </tbody>\n            </table>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){"use strict";const r=n(438);n(33),n(439);function i(e){return"python"===e?"language-python":"language-sql"}angular.module("dbt").directive("codeBlock",["code","$timeout",function(e,t){return{scope:{versions:"=",default:"<",language:"="},restrict:"E",templateUrl:r,link:function(n,r){n.selected_version=n.default,n.language_class=i(n.language),n.source=null,n.setSelected=function(r){n.selected_version=r,n.source=n.versions[r]||"";const i=n.source.trim();n.highlighted=e.highlight(i,n.language),t((function(){Prism.highlightAll()}))},n.titleCase=function(e){return e.charAt(0).toUpperCase()+e.substring(1)},n.copied=!1,n.copy_to_clipboard=function(){e.copy_to_clipboard(n.source),n.copied=!0,setTimeout((function(){n.$apply((function(){n.copied=!1}))}),1e3)},n.$watch("language",(function(e,t){e&&e!=t&&(n.language_class=i(e))}),!0),n.$watch("versions",(function(e,t){if(e)if(n.default)n.setSelected(n.default);else{var r=Object.keys(n.versions);r.length>0&&n.setSelected(r[0])}}),!0)}}}])},function(e,t){var n="/components/code_block/code_block.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<h6>Code</h6>\n<div class="panel">\n    <div class="panel-body">\n        <ul class="nav nav-tabs">\n            <li\n                ng-repeat="(version_name, version) in versions"\n                ng-class="{active: version_name == selected_version}">\n                <a ng-click="setSelected(version_name)">{{ titleCase(version_name) }}</a>\n            </li>\n            <li class=\'nav-pull-right\'></li>\n            <li>\n                <a class=\'unselectable\'\n                   ng-click="copy_to_clipboard()">{{ copied ? \'copied\' : \'copy to clipboard\' }}</a>\n            </li>\n        </ul>\n        <div style="margin-top: 1px">\n            <pre style="background-color: white"\n                 class=\'code line-numbers\'><code class="source-code highlight" ng-class="language_class" ng-bind-html="highlighted"></code></pre>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t,n){var r=n(440);"string"==typeof r&&(r=[[e.i,r,""]]);var i={hmr:!0,transform:void 0,insertInto:void 0};n(40)(r,i);r.locals&&(e.exports=r.locals)},function(e,t,n){(e.exports=n(39)(!1)).push([e.i,"pre.code {\n    border: none !important;\n    overflow-y: visible !important;\n    overflow-x: scroll !important;\n    padding-bottom: 10px;\n}\n\npre.code code {\n    font-family: Monaco, monospace !important;\n    font-weight: 400 !important;\n}\n\n.line-numbers-rows {\n    border: none !important;\n}\n",""])},function(e,t,n){"use strict";const r=n(442);angular.module("dbt").directive("macroArguments",[function(){return{scope:{macro:"="},templateUrl:r,link:function(e){_.each(e.macro.arguments,(function(e){e.expanded=!1}))}}}])},function(e,t){var n="/components/macro_arguments/index.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n    .arg-header {\n        background-color: white;\n        position: sticky;\n        top: 0;\n        z-index: 1;\n    }\n\n</style>\n\n<div class="panel">\n    <div class="panel-body">\n        <div ng-if="macro.arguments.length == 0">\n            Details are not available for this macro. 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r.endian([c,u,d,p])})._ff=function(e,t,n,r,i,o,a){var s=e+(t&n|~t&r)+(i>>>0)+a;return(s<<o|s>>>32-o)+t},s._gg=function(e,t,n,r,i,o,a){var s=e+(t&r|n&~r)+(i>>>0)+a;return(s<<o|s>>>32-o)+t},s._hh=function(e,t,n,r,i,o,a){var s=e+(t^n^r)+(i>>>0)+a;return(s<<o|s>>>32-o)+t},s._ii=function(e,t,n,r,i,o,a){var s=e+(n^(t|~r))+(i>>>0)+a;return(s<<o|s>>>32-o)+t},s._blocksize=16,s._digestsize=16,e.exports=function(e,t){if(null==e)throw new Error("Illegal argument "+e);var n=r.wordsToBytes(s(e,t));return t&&t.asBytes?n:t&&t.asString?a.bytesToString(n):r.bytesToHex(n)}},function(e,t){var n,r;n="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",r={rotl:function(e,t){return e<<t|e>>>32-t},rotr:function(e,t){return e<<32-t|e>>>t},endian:function(e){if(e.constructor==Number)return 16711935&r.rotl(e,8)|4278255360&r.rotl(e,24);for(var t=0;t<e.length;t++)e[t]=r.endian(e[t]);return e},randomBytes:function(e){for(var t=[];e>0;e--)t.push(Math.floor(256*Math.random()));return t},bytesToWords:function(e){for(var t=[],n=0,r=0;n<e.length;n++,r+=8)t[r>>>5]|=e[n]<<24-r%32;return t},wordsToBytes:function(e){for(var t=[],n=0;n<32*e.length;n+=8)t.push(e[n>>>5]>>>24-n%32&255);return t},bytesToHex:function(e){for(var t=[],n=0;n<e.length;n++)t.push((e[n]>>>4).toString(16)),t.push((15&e[n]).toString(16));return t.join("")},hexToBytes:function(e){for(var t=[],n=0;n<e.length;n+=2)t.push(parseInt(e.substr(n,2),16));return t},bytesToBase64:function(e){for(var t=[],r=0;r<e.length;r+=3)for(var i=e[r]<<16|e[r+1]<<8|e[r+2],o=0;o<4;o++)8*r+6*o<=8*e.length?t.push(n.charAt(i>>>6*(3-o)&63)):t.push("=");return t.join("")},base64ToBytes:function(e){e=e.replace(/[^A-Z0-9+\/]/gi,"");for(var t=[],r=0,i=0;r<e.length;i=++r%4)0!=i&&t.push((n.indexOf(e.charAt(r-1))&Math.pow(2,-2*i+8)-1)<<2*i|n.indexOf(e.charAt(r))>>>6-2*i);return t}},e.exports=r},function(e,t){function n(e){return!!e.constructor&&"function"==typeof e.constructor.isBuffer&&e.constructor.isBuffer(e)}
 /*!
  * Determine if an object is a Buffer
  *
  * @author   Feross Aboukhadijeh <https://feross.org>
  * @license  MIT
  */
-e.exports=function(e){return null!=e&&(n(e)||function(e){return"function"==typeof e.readFloatLE&&"function"==typeof e.slice&&n(e.slice(0,0))}(e)||!!e._isBuffer)}},function(e,t,n){n(9).module("dbt").factory("locationService",["$state",function(e){var t={};return t.parseState=function(e){return function(e){return{selected:{include:e.g_i||"",exclude:e.g_e||""},show_graph:!!e.g_v}}(e)},t.setState=function(t){var n=function(e){var t={g_v:1};return t.g_i=e.include,t.g_e=e.exclude,t}(t),r=e.current.name;e.go(r,n)},t.clearState=function(){var t=e.current.name;e.go(t,{g_i:null,g_e:null,g_v:null})},t}])},function(e,t,n){"use strict";const r=n(9),i=n(202);r.module("dbt").controller("OverviewCtrl",["$scope","$state","project",function(e,t,n){e.overview_md="(loading)",n.ready((function(n){let r=t.params.project_name?t.params.project_name:null;var o=n.docs["doc.dbt.__overview__"],a=i.filter(n.docs,{name:"__overview__"});if(i.each(a,(function(e){"dbt"!=e.package_name&&(o=e)})),null!==r){o=n.docs[`doc.${r}.__${r}__`]||o;let e=i.filter(n.docs,{name:`__${r}__`});i.each(e,e=>{e.package_name!==r&&(o=e)})}e.overview_md=o.block_contents}))}])},function(e,t,n){"use strict";n(9).module("dbt").controller("SourceListCtrl",["$scope","$state","project",function(e,t,n){e.source=t.params.source,e.model={},e.extra_table_fields=[],e.has_more_info=function(e){return(e.description||"").length},e.toggle_source_expanded=function(t){e.has_more_info(t)&&(t.expanded=!t.expanded)},n.ready((function(t){var n=_.filter(t.nodes,(function(t){return t.source_name==e.source}));if(0!=n.length){n.sort((e,t)=>e.name.localeCompare(t.name));var r=n[0];e.model={name:e.source,source_description:r.source_description,sources:n};var i=_.uniq(_.map(n,"metadata.owner")),o=_.uniq(_.map(n,"database")),a=_.uniq(_.map(n,"schema"));e.extra_table_fields=[{name:"Loader",value:r.loader},{name:1==i.length?"Owner":"Owners",value:i.join(", ")},{name:1==o.length?"Database":"Databases",value:o.join(", ")},{name:1==a.length?"Schema":"Schemas",value:a.join(", ")},{name:"Tables",value:n.length}]}}))}])},function(e,t,n){const r=n(9),i={main:n(480),overview:n(481),graph:n(482),source:n(205),source_list:n(483),model:n(484),source:n(205),snapshot:n(485),seed:n(486),test:n(487),analysis:n(488),macro:n(489),exposure:n(490),metric:n(491),operation:n(492)};r.module("dbt").config(["$stateProvider","$urlRouterProvider",function(e,t){var n="g_v&g_i&g_e&g_p&g_n";t.otherwise("/overview"),e.state("dbt",{url:"/",abstract:!0,controller:"MainController",templateUrl:i.main}).state("dbt.overview",{url:"overview?"+n,controller:"OverviewCtrl",templateUrl:i.overview}).state("dbt.project_overview",{url:"overview/:project_name?"+n,controller:"OverviewCtrl",templateUrl:i.overview,params:{project_name:{type:"string"}}}).state("dbt.graph",{url:"graph",controller:"GraphCtrl",templateUrl:i.graph}).state("dbt.model",{url:"model/:unique_id?section&"+n,controller:"ModelCtrl",templateUrl:i.model,params:{unique_id:{type:"string"}}}).state("dbt.seed",{url:"seed/:unique_id?section&"+n,controller:"SeedCtrl",templateUrl:i.seed,params:{unique_id:{type:"string"}}}).state("dbt.snapshot",{url:"snapshot/:unique_id?section&"+n,controller:"SnapshotCtrl",templateUrl:i.snapshot,params:{unique_id:{type:"string"}}}).state("dbt.test",{url:"test/:unique_id?section&"+n,controller:"TestCtrl",templateUrl:i.test,params:{unique_id:{type:"string"}}}).state("dbt.analysis",{url:"analysis/:unique_id?section&"+n,controller:"AnalysisCtrl",templateUrl:i.analysis,params:{unique_id:{type:"string"}}}).state("dbt.source",{url:"source/:unique_id?section&"+n,controller:"SourceCtrl",templateUrl:i.source,params:{unique_id:{type:"string"}}}).state("dbt.source_list",{url:"source_list/:source?section&"+n,controller:"SourceListCtrl",templateUrl:i.source_list,params:{source:{type:"string"}}}).state("dbt.macro",{url:"macro/:unique_id?section",controller:"MacroCtrl",templateUrl:i.macro,params:{unique_id:{type:"string"}}}).state("dbt.exposure",{url:"exposure/:unique_id?section&"+n,controller:"ExposureCtrl",templateUrl:i.exposure,params:{unique_id:{type:"string"}}}).state("dbt.metric",{url:"metric/:unique_id?section&"+n,controller:"MetricCtrl",templateUrl:i.metric,params:{unique_id:{type:"string"}}}).state("dbt.operation",{url:"operation/:unique_id?section&"+n,controller:"OperationCtrl",templateUrl:i.operation,params:{unique_id:{type:"string"}}})}])},function(e,t){var n="/main/main.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n.no-x-overflow {\n    overflow-x: hidden;\n}\n\n.logo {\n    width: 140px;\n    height: 46px ;\n}\n</style>\n\n<div>\n    <graph-launcher></graph-launcher>\n\n    <div class="app app-row">\n        <div class="app-menu app-column">\n            <div class="app-overlay" data-toggle=".app-menu"></div>\n            <div class="app-header app-navbar app-shadow app-pad">\n                <div class="app-row app-middle">\n                    <div class="app-body">\n                        <div class="logo">\n                            <img style="width: 100px; height: 40px" class="logo" ng-src="{{ logo }}" />\n                        </div>\n                    </div>\n                </div>\n            </div>\n            <div class="app-body">\n                <div class="app-scroll app-pad app-flush-right no-x-overflow">\n                    <model-tree tree="tree"></model-tree>\n                </div>\n            </div>\n        </div>\n        <div class="app-content app-column">\n            <div class="app-header app-navbar app-shadow">\n                <div class="app-frame app-pad app-row app-middle">\n                        <input\n                            id="search"\n                            ng-model="search.query"\n                            ng-focus="onSearchFocus($event, true)"\n                            ng-keydown="onSearchKeypress($event)"\n                            type="text"\n                            class="form-control"\n                            placeholder="Search for models..." />\n                    <div class="app-body">\n                    </div>\n                    <div class="app-footer app-icn" ng-show="search.is_focused" ng-click="clearSearch()">\n                        <svg class="icn icn-md"><use xlink:href="#icn-close"></use></svg>\n                    </div>\n                </div>\n            </div>\n            <div class=\'app-body\' ng-show=\'!search.is_focused\' ui-view></div>\n            <div class="app-body" ng-show="search.is_focused">\n                <docs-search query="search.query" results="search.results" on-select="clearSearch()"></docs-search>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/overview/overview.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="app-details app-scroll app-pad">\n    <app-scroll div class="app-frame app-pad">\n        <div class="panel panel-default">\n            <div class="panel-body">\n                <p marked=\'overview_md\'></p>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/graph/graph.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div ng-controller="GraphCtrl" id=\'graph-container\' style="width: 100%">\n    <div class=\'row viz-container\' style="margin: 0">\n        <div class=\'col-md-12\'>\n             <div graph-viz\n                        viz-options="graph.options"\n                        viz-elements="graph.elements"\n                        viz-style="graph.style"\n                        viz-layout="graph.layout"\n                        viz-ready="graph.ready"\n                        viz-size="{height: \'800px\', width: \'100%\'}"></div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/sources/source_list.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ source }}</span>\n                    <small>source</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'sources\'})">Sources</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" extras="extra_table_fields"/>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.source_description" class="model-markdown" marked="model.source_description"></div>\n                            <div ng-if="!model.source_description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n\n            <section class="section">\n                <div class="section-target" id="sources"></div>\n                <div class="section-content">\n                    <h6>Source Tables</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div class="table-responsive" style="max-height: 800px; overflow-y: scroll;" ng-if="!_.isEmpty(model.sources)">\n                                <table class="table table-borderless table-hover">\n                                    <thead>\n                                        <tr>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Source</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Table</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Description</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Link</th>\n                                            <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;" class=\'text-center\'>More?</th>\n                                        </tr>\n                                    </thead>\n                                    <tbody>\n                                        <tr\n                                            ng-repeat-start="source in model.sources track by source.name"\n                                            ng-click="toggle_source_expanded(source)"\n                                            class="column-row"\n                                            ng-class="{\'column-row-selected\': source.expanded}"\n                                            ng-style="{cursor: has_more_info(source) ? \'pointer\' : \'auto\'}">\n                                            <td>\n                                                <div>\n                                                    <span class=\'text-dark\'>{{ source.source_name }}</span>\n                                                </div>\n                                            </td>\n                                            <td>\n                                                <span class=\'text-dark\'>{{ source.name }}</p>\n                                            </td>\n                                            <td style="text-overflow: ellipsis; overflow-x: hidden; white-space: nowrap; max-width: 1px;">\n                                                <span ng-show="!column.expanded">{{ source.description }}</span>\n                                            </td>\n                                            <td>\n                                                <a ui-sref="dbt.source({unique_id: source.unique_id})">View docs</a>\n                                            </td>\n                                            <td class=\'text-center\'>\n                                                <span class=\'text-light\' ng-show="has_more_info(source)">\n                                                    <span ng-if="source.expanded">\n                                                        <svg class="icn"><use xlink:href="#icn-up"></use></svg>\n                                                    </span>\n                                                    <span ng-if="!source.expanded">\n                                                        <svg class="icn"><use xlink:href="#icn-right"></use></svg>\n                                                    </span>\n                                                </span>\n                                            </td>\n                                        </tr>\n                                        <tr ng-repeat-end ng-show="source.expanded" style="background-color: white; padding: 10px">\n                                            <td colspan="5" class="column-expanded">\n                                                <div style="padding: 5px 20px">\n                                                    <div style="margin-bottom: 15px">\n                                                        <h5>Description</h5>\n                                                        <span marked="source.description"></span>\n                                                    </div>\n                                                </div>\n                                            </td>\n                                        </tr>\n                                    </tbody>\n                                </table>\n                            </div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/model.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This model is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.model({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.model({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'code\'})">Code</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model"></table-details>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/snapshot.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.snapshot({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.snapshot({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/seed.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.seed({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.seed({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/test.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>test</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.test({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.test({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.test({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/analysis.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>Analysis</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.analysis({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.analysis({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.analysis({\'#\': \'sql\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="sql"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/macro.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ macro.package_name }}.{{ macro.name }}</span>\n                    <small ng-if="macro.is_adapter_macro">adapter macro</small>\n                    <small ng-if="!macro.is_adapter_macro">macro</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'arguments\'})">Arguments</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.macro({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.macro({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'code\'})">Code</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="macro.description" class="model-markdown" marked="macro.description"></div>\n                            <div ng-if="!macro.description">This {{ macro.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="arguments"></div>\n                <div class="section-content">\n                    <h6>Arguments</h6>\n                    <macro-arguments macro="macro"></macro-arguments>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="macro" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="macro" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/exposure.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n\n                <h1>\n                    <span class="break">{{ exposure.label }}</span>\n                    <small>exposure</small>\n\n                    <div class=\'pull-right\' ng-show="exposure.url">\n                        <a class=\'btn text-white btn-primary btn-sm\' ng-href="{{ exposure.url }}" target="_blank">View this exposure</a>\n                    </div>\n\n                    <div class=\'clearfix\'></div>\n                </h1>\n\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.exposure({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.exposure({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.exposure({\'#\': \'depends_on\'})">Depends On</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="exposure" extras="extra_table_fields" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="exposure.description" class="model-markdown" marked="exposure.description"></div>\n                            <div ng-if="!exposure.description">This {{ exposure.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="exposure" />\n                </div>\n            </section>\n\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/metric.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n\n                <h1>\n                    <span class="break">{{ metric.label }}</span>\n                    <small>metric</small>\n\n                    <div class=\'clearfix\'></div>\n                </h1>\n\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.metric({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.metric({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.metric({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.metric({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="metric" extras="extra_table_fields" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="metric.description" class="model-markdown" marked="metric.description"></div>\n                            <div ng-if="!metric.description">This {{ metric.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="metric" />\n                </div>\n            </section>\n\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/operation.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>operation</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.operation({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.operation({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.operation({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n}]);
+e.exports=function(e){return null!=e&&(n(e)||function(e){return"function"==typeof e.readFloatLE&&"function"==typeof e.slice&&n(e.slice(0,0))}(e)||!!e._isBuffer)}},function(e,t,n){n(9).module("dbt").factory("locationService",["$state",function(e){var t={};return t.parseState=function(e){return function(e){return{selected:{include:e.g_i||"",exclude:e.g_e||""},show_graph:!!e.g_v}}(e)},t.setState=function(t){var n=function(e){var t={g_v:1};return t.g_i=e.include,t.g_e=e.exclude,t}(t),r=e.current.name;e.go(r,n)},t.clearState=function(){var t=e.current.name;e.go(t,{g_i:null,g_e:null,g_v:null})},t}])},function(e,t,n){"use strict";const r=n(9),i=n(202);r.module("dbt").controller("OverviewCtrl",["$scope","$state","project",function(e,t,n){e.overview_md="(loading)",n.ready((function(n){let r=t.params.project_name?t.params.project_name:null;var o=n.docs["doc.dbt.__overview__"],a=i.filter(n.docs,{name:"__overview__"});if(i.each(a,(function(e){"dbt"!=e.package_name&&(o=e)})),null!==r){o=n.docs[`doc.${r}.__${r}__`]||o;let e=i.filter(n.docs,{name:`__${r}__`});i.each(e,e=>{e.package_name!==r&&(o=e)})}e.overview_md=o.block_contents}))}])},function(e,t,n){"use strict";n(9).module("dbt").controller("SourceListCtrl",["$scope","$state","project",function(e,t,n){e.source=t.params.source,e.model={},e.extra_table_fields=[],e.has_more_info=function(e){return(e.description||"").length},e.toggle_source_expanded=function(t){e.has_more_info(t)&&(t.expanded=!t.expanded)},n.ready((function(t){var n=_.filter(t.nodes,(function(t){return t.source_name==e.source}));if(0!=n.length){n.sort((e,t)=>e.name.localeCompare(t.name));var r=n[0];e.model={name:e.source,source_description:r.source_description,sources:n};var i=_.uniq(_.map(n,"metadata.owner")),o=_.uniq(_.map(n,"database")),a=_.uniq(_.map(n,"schema"));e.extra_table_fields=[{name:"Loader",value:r.loader},{name:1==i.length?"Owner":"Owners",value:i.join(", ")},{name:1==o.length?"Database":"Databases",value:o.join(", ")},{name:1==a.length?"Schema":"Schemas",value:a.join(", ")},{name:"Tables",value:n.length}]}}))}])},function(e,t,n){const r=n(9),i={main:n(482),overview:n(483),graph:n(484),source:n(205),source_list:n(485),model:n(486),source:n(205),snapshot:n(487),seed:n(488),test:n(489),analysis:n(490),macro:n(491),exposure:n(492),metric:n(493),semantic_model:n(494),operation:n(495)};r.module("dbt").config(["$stateProvider","$urlRouterProvider",function(e,t){var n="g_v&g_i&g_e&g_p&g_n";t.otherwise("/overview"),e.state("dbt",{url:"/",abstract:!0,controller:"MainController",templateUrl:i.main}).state("dbt.overview",{url:"overview?"+n,controller:"OverviewCtrl",templateUrl:i.overview}).state("dbt.project_overview",{url:"overview/:project_name?"+n,controller:"OverviewCtrl",templateUrl:i.overview,params:{project_name:{type:"string"}}}).state("dbt.graph",{url:"graph",controller:"GraphCtrl",templateUrl:i.graph}).state("dbt.model",{url:"model/:unique_id?section&"+n,controller:"ModelCtrl",templateUrl:i.model,params:{unique_id:{type:"string"}}}).state("dbt.seed",{url:"seed/:unique_id?section&"+n,controller:"SeedCtrl",templateUrl:i.seed,params:{unique_id:{type:"string"}}}).state("dbt.snapshot",{url:"snapshot/:unique_id?section&"+n,controller:"SnapshotCtrl",templateUrl:i.snapshot,params:{unique_id:{type:"string"}}}).state("dbt.test",{url:"test/:unique_id?section&"+n,controller:"TestCtrl",templateUrl:i.test,params:{unique_id:{type:"string"}}}).state("dbt.analysis",{url:"analysis/:unique_id?section&"+n,controller:"AnalysisCtrl",templateUrl:i.analysis,params:{unique_id:{type:"string"}}}).state("dbt.source",{url:"source/:unique_id?section&"+n,controller:"SourceCtrl",templateUrl:i.source,params:{unique_id:{type:"string"}}}).state("dbt.source_list",{url:"source_list/:source?section&"+n,controller:"SourceListCtrl",templateUrl:i.source_list,params:{source:{type:"string"}}}).state("dbt.macro",{url:"macro/:unique_id?section",controller:"MacroCtrl",templateUrl:i.macro,params:{unique_id:{type:"string"}}}).state("dbt.exposure",{url:"exposure/:unique_id?section&"+n,controller:"ExposureCtrl",templateUrl:i.exposure,params:{unique_id:{type:"string"}}}).state("dbt.metric",{url:"metric/:unique_id?section&"+n,controller:"MetricCtrl",templateUrl:i.metric,params:{unique_id:{type:"string"}}}).state("dbt.semantic_model",{url:"semantic_model/:unique_id?section&"+n,controller:"SemanticModelCtrl",templateUrl:i.semantic_model,params:{unique_id:{type:"string"}}}).state("dbt.operation",{url:"operation/:unique_id?section&"+n,controller:"OperationCtrl",templateUrl:i.operation,params:{unique_id:{type:"string"}}})}])},function(e,t){var n="/main/main.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n.no-x-overflow {\n    overflow-x: hidden;\n}\n\n.logo {\n    width: 140px;\n    height: 46px ;\n}\n</style>\n\n<div>\n    <graph-launcher></graph-launcher>\n\n    <div class="app app-row">\n        <div class="app-menu app-column">\n            <div class="app-overlay" data-toggle=".app-menu"></div>\n            <div class="app-header app-navbar app-shadow app-pad">\n                <div class="app-row app-middle">\n                    <div class="app-body">\n                        <div class="logo">\n                            <a ui-sref="dbt.overview()">\n                                <img style="width: 100px; height: 40px" class="logo" ng-src="{{ logo }}" />\n                            </a>\n                        </div>\n                    </div>\n                </div>\n            </div>\n            <div class="app-body">\n                <div class="app-scroll app-pad app-flush-right no-x-overflow">\n                    <model-tree tree="tree"></model-tree>\n                </div>\n            </div>\n        </div>\n        <div class="app-content app-column">\n            <div class="app-header app-navbar app-shadow">\n                <div class="app-frame app-pad app-row app-middle">\n                        <input\n                            id="search"\n                            ng-model="search.query"\n                            ng-focus="onSearchFocus($event, true)"\n                            ng-keydown="onSearchKeypress($event)"\n                            type="text"\n                            class="form-control"\n                            placeholder="Search for models..." />\n                    <div class="app-body">\n                    </div>\n                    <div class="app-footer app-icn" ng-show="search.is_focused" ng-click="clearSearch()">\n                        <svg class="icn icn-md"><use xlink:href="#icn-close"></use></svg>\n                    </div>\n                </div>\n            </div>\n            <div class=\'app-body\' ng-show=\'!search.is_focused\' ui-view></div>\n            <div class="app-body" ng-show="search.is_focused">\n                <docs-search query="search.query" results="search.results" on-select="clearSearch()"></docs-search>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/overview/overview.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div class="app-details app-scroll app-pad">\n    <app-scroll div class="app-frame app-pad">\n        <div class="panel panel-default">\n            <div class="panel-body">\n                <p marked=\'overview_md\'></p>\n            </div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/graph/graph.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<div ng-controller="GraphCtrl" id=\'graph-container\' style="width: 100%">\n    <div class=\'row viz-container\' style="margin: 0">\n        <div class=\'col-md-12\'>\n             <div graph-viz\n                        viz-options="graph.options"\n                        viz-elements="graph.elements"\n                        viz-style="graph.style"\n                        viz-layout="graph.layout"\n                        viz-ready="graph.ready"\n                        viz-size="{height: \'800px\', width: \'100%\'}"></div>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/sources/source_list.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ source }}</span>\n                    <small>source</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.source_list({\'#\': \'sources\'})">Sources</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" extras="extra_table_fields"/>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.source_description" class="model-markdown" marked="model.source_description"></div>\n                            <div ng-if="!model.source_description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n\n            <section class="section">\n                <div class="section-target" id="sources"></div>\n                <div class="section-content">\n                    <h6>Source Tables</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div class="table-responsive" style="max-height: 800px; overflow-y: scroll;" ng-if="!_.isEmpty(model.sources)">\n                                <table class="table table-borderless table-hover">\n                                    <thead>\n                                        <tr>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Source</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Table</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Description</th>\n                                            <th style="background-color: white; position: sticky; top: 0; z-index: 1;">Link</th>\n                                            <th style="width: 1px; background-color: white; position: sticky; top: 0; z-index: 1;" class=\'text-center\'>More?</th>\n                                        </tr>\n                                    </thead>\n                                    <tbody>\n                                        <tr\n                                            ng-repeat-start="source in model.sources track by source.name"\n                                            ng-click="toggle_source_expanded(source)"\n                                            class="column-row"\n                                            ng-class="{\'column-row-selected\': source.expanded}"\n                                            ng-style="{cursor: has_more_info(source) ? \'pointer\' : \'auto\'}">\n                                            <td>\n                                                <div>\n                                                    <span class=\'text-dark\'>{{ source.source_name }}</span>\n                                                </div>\n                                            </td>\n                                            <td>\n                                                <span class=\'text-dark\'>{{ source.name }}</p>\n                                            </td>\n                                            <td style="text-overflow: ellipsis; overflow-x: hidden; white-space: nowrap; max-width: 1px;">\n                                                <span ng-show="!column.expanded">{{ source.description }}</span>\n                                            </td>\n                                            <td>\n                                                <a ui-sref="dbt.source({unique_id: source.unique_id})">View docs</a>\n                                            </td>\n                                            <td class=\'text-center\'>\n                                                <span class=\'text-light\' ng-show="has_more_info(source)">\n                                                    <span ng-if="source.expanded">\n                                                        <svg class="icn"><use xlink:href="#icn-up"></use></svg>\n                                                    </span>\n                                                    <span ng-if="!source.expanded">\n                                                        <svg class="icn"><use xlink:href="#icn-right"></use></svg>\n                                                    </span>\n                                                </span>\n                                            </td>\n                                        </tr>\n                                        <tr ng-repeat-end ng-show="source.expanded" style="background-color: white; padding: 10px">\n                                            <td colspan="5" class="column-expanded">\n                                                <div style="padding: 5px 20px">\n                                                    <div style="margin-bottom: 15px">\n                                                        <h5>Description</h5>\n                                                        <span marked="source.description"></span>\n                                                    </div>\n                                                </div>\n                                            </td>\n                                        </tr>\n                                    </tbody>\n                                </table>\n                            </div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/model.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This model is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.model({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.model({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.model({\'#\': \'code\'})">Code</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model"></table-details>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/snapshot.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.snapshot({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.snapshot({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.snapshot({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/seed.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>{{ model.config.materialized }}</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'columns\'})">Columns</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.seed({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.seed({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.seed({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="model" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n            <section class="section">\n                <div class="section-target" id="columns"></div>\n                <div class="section-content">\n                    <h6>Columns</h6>\n                    <column-details model="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="model" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/test.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>test</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.test({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.test({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.test({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/analysis.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1 ng-if="model.docs.show === false">\n                    <small class=\'text-bold text-right\'>\n                        <i data-icon="eye"></i>\n                        This {{ model.resource_type }} is hidden\n                    </small>\n                </h1>\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>Analysis</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.analysis({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.analysis({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.analysis({\'#\': \'sql\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="sql"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/macro.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ macro.package_name }}.{{ macro.name }}</span>\n                    <small ng-if="macro.is_adapter_macro">adapter macro</small>\n                    <small ng-if="!macro.is_adapter_macro">macro</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'arguments\'})">Arguments</a></li>\n                <li ui-sref-active=\'active\' ng-show = "referencesLength != 0"><a ui-sref="dbt.macro({\'#\': \'referenced_by\'})">Referenced By</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.macro({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.macro({\'#\': \'code\'})">Code</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="macro.description" class="model-markdown" marked="macro.description"></div>\n                            <div ng-if="!macro.description">This {{ macro.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="arguments"></div>\n                <div class="section-content">\n                    <h6>Arguments</h6>\n                    <macro-arguments macro="macro"></macro-arguments>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "referencesLength != 0">\n                <div class="section-target" id="referenced_by"></div>\n                <div class="section-content">\n                    <h6>Referenced By</h6>\n                    <reference-list references="references" node="macro" />\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="macro" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/exposure.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n\n                <h1>\n                    <span class="break">{{ exposure.label }}</span>\n                    <small>exposure</small>\n\n                    <div class=\'pull-right\' ng-show="exposure.url">\n                        <a class=\'btn text-white btn-primary btn-sm\' ng-href="{{ exposure.url }}" target="_blank">View this exposure</a>\n                    </div>\n\n                    <div class=\'clearfix\'></div>\n                </h1>\n\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.exposure({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.exposure({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.exposure({\'#\': \'depends_on\'})">Depends On</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="exposure" extras="extra_table_fields" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="exposure.description" class="model-markdown" marked="exposure.description"></div>\n                            <div ng-if="!exposure.description">This {{ exposure.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="exposure" />\n                </div>\n            </section>\n\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/metric.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n\n                <h1>\n                    <span class="break">{{ metric.label }}</span>\n                    <small>metric</small>\n\n                    <div class=\'clearfix\'></div>\n                </h1>\n\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.metric({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.metric({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.metric({\'#\': \'depends_on\'})">Depends On</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="metric" extras="extra_table_fields" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="metric.description" class="model-markdown" marked="metric.description"></div>\n                            <div ng-if="!metric.description">This {{ metric.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="metric" />\n                </div>\n            </section>\n\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/semantic_model.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n\n                <h1>\n                    <span class="break">{{ semantic_model.name }}</span>\n                    <small>semantic_model</small>\n\n                    <div class=\'clearfix\'></div>\n                </h1>\n\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.semantic_model({\'#\': \'details\'})">Details</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.semantic_model({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.semantic_model({\'#\': \'depends_on\'})">Depends On</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n\n            <section class="section">\n                <div class="section-target" id="details"></div>\n                <table-details model="semantic_model" extras="extra_table_fields" />\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="semantic_model.description" class="model-markdown" marked="semantic_model.description"></div>\n                            <div ng-if="!semantic_model.description">This {{ semantic_model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "semantic_model.entities.length != 0">\n                <div class="section-target" id="entities"></div>\n                <div class="section-content">\n                    <h6>Entities</h6>\n\n                <div class="panel">\n                    <div class="detail-group" style="padding-bottom: 0">\n                        <div class="detail-body" style="padding-left: 0">\n                            <dl class="detail" ng-style="{\'padding-left\': $index == 0 ? 0 : \'auto\'}"\n                                ng-repeat="entity in semantic_model.entities">\n                                <dt class="detail-label">Name</dt>\n                                <dd class="detail-value" ng-if="entity.name">{{ entity.name }}</dd>\n                                <dd class="detail-value" ng-if="!entity.name">None</dd>\n                                <dt class="detail-label">Type</dt>\n                                <dd class="detail-value" ng-if="entity.type">{{ entity.type }}</dd>\n                                <dd class="detail-value" ng-if="!entity.type">None</dd>\n                                <dt class="detail-label">Expression</dt>\n                                <dd class="detail-value" ng-if="entity.expr">{{ entity.expr }}</dd>\n                                <dd class="detail-value" ng-if="!entity.expr">None</dd>\n                            </dl>\n                        </div>\n                    </div>\n                </div>\n            </div>\n        </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="semantic_model" />\n                </div>\n            </section>\n\n        </div>\n    </div>\n</div>\n')}]),e.exports=n},function(e,t){var n="/docs/operation.html";window.angular.module("ng").run(["$templateCache",function(e){e.put(n,'<style>\n/* TODO */\n.section-target {\n    top: -8em;\n}\n\n.noflex {\n    flex: 0 0 160px !important;\n}\n\n.highlight {\n    color: #24292e;\n    background-color: white;\n}\n\n</style>\n\n<div class=\'app-scroll\'>\n    <div class="app-links app-sticky">\n        <div class="app-title">\n            <div class="app-frame app-pad app-flush-bottom">\n                <h1>\n                    <span class="break">{{ model.name }}</span>\n                    <small>operation</small>\n                </h1>\n            </div>\n        </div>\n        <div class="app-frame app-pad-h">\n            <ul class="nav nav-tabs">\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.operation({\'#\': \'description\'})">Description</a></li>\n                <li ui-sref-active=\'active\' ng-show = "parentsLength != 0"><a ui-sref="dbt.operation({\'#\': \'depends_on\'})">Depends On</a></li>\n                <li ui-sref-active=\'active\'><a ui-sref="dbt.operation({\'#\': \'code\'})">SQL</a></li>\n            </ul>\n        </div>\n    </div>\n    <div class="app-details">\n        <div class="app-frame app-pad">\n            <section class="section">\n                <div class="section-target" id="description"></div>\n                <div class="section-content">\n                    <h6>Description</h6>\n                    <div class="panel">\n                        <div class="panel-body">\n                            <div ng-if="model.description" class="model-markdown" marked="model.description"></div>\n                            <div ng-if="!model.description">This {{ model.resource_type }} is not currently documented</div>\n                        </div>\n                    </div>\n                </div>\n            </section>\n\n            <section class="section" ng-show = "parentsLength != 0">\n                <div class="section-target" id="depends_on"></div>\n                <div class="section-content">\n                    <h6>Depends On</h6>\n                    <reference-list references="parents" node="model" />\n                </div>\n            </section>\n\n            <section class="section">\n                <div class="section-target" id="code"></div>\n                <div class="section-content">\n                    <code-block versions="versions" default="default_version" language="language"></code-block>\n                </div>\n            </section>\n        </div>\n    </div>\n</div>\n')}]),e.exports=n}]);
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"config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "group": null, "materialized": "seed", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {"_fivetran_synced": "timestamp", "external_data_reference": "string", "language": "string"}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "quote_columns": null, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"column_types": {"external_data_reference": "{{ 'string' if target.type in ['bigquery','spark','databricks'] else 'varchar' }}", "language": "{{ 'string' if target.type in ['bigquery','spark','databricks'] else 'varchar' }}"}}, "created_at": 1690564819.95221, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`core_contact`", "raw_code": "", "root_path": "/Users/jamie.rodriguez/Desktop/dbt_repos/Qualtrics/dbt_qualtrics/integration_tests", "depends_on": {"macros": []}}, "model.qualtrics.qualtrics__directory": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics", "name": "qualtrics__directory", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__directory.sql", "original_file_path": "models/qualtrics__directory.sql", "unique_id": "model.qualtrics.qualtrics__directory", "fqn": ["qualtrics", "qualtrics__directory"], "alias": "qualtrics__directory", "checksum": {"name": "sha256", "checksum": "35778deccd4c34fe55ede1da9d6e670a73b9541aa7e34809fec64756ebb0a55c"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "A directory is an address book for the entire brand and contains all of the contacts that have been added by your users. This model provides a detailed view of each directory, enhanced with metrics regarding contacts, survey distribution, and engagement. \n", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_email": {"name": "is_deduped_on_email", "description": "Boolean representing if directory contacts are deduped based on email.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_ext_ref": {"name": "is_deduped_on_ext_ref", "description": "Boolean representing if directory contacts are deduped based on an external data reference.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_first_name": {"name": "is_deduped_on_first_name", "description": "Boolean representing if directory contacts are deduped based on first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_last_name": {"name": "is_deduped_on_last_name", "description": "Boolean representing if directory contacts are deduped based on last name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_phone": {"name": "is_deduped_on_phone", "description": "Boolean representing if directory contacts are deduped based on phone number.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_default": {"name": "is_default", "description": "Boolean representing if this directory is the default one for your brand. \n\nThe default directory will be the first directory listed in the dropdown menu in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_distinct_emails": {"name": "count_distinct_emails", "description": "Count of distinct email addresses in the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_distinct_phones": {"name": "count_distinct_phones", "description": "Count of distinct phone numbers (stripped of any non-numeric characters) in the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_contacts": {"name": "total_count_contacts", "description": "Total number of contacts.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_unsubscribed_contacts": {"name": "total_count_unsubscribed_contacts", "description": "Total number of contacts who have unsubscribed from the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_created_30d": {"name": "count_contacts_created_30d", "description": "Number of contacts created in the last 30 days (inclusive) in this directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_unsubscribed_30d": {"name": "count_contacts_unsubscribed_30d", "description": "Number of contacts who have opted out of receiving communications through this directory in the last 30 days (inclusive).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_sent_survey_30d": {"name": "count_contacts_sent_survey_30d", "description": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_opened_survey_30d": {"name": "count_contacts_opened_survey_30d", "description": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive) and opened it.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_started_survey_30d": {"name": "count_contacts_started_survey_30d", "description": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive)and started it.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_completed_survey_30d": {"name": "count_contacts_completed_survey_30d", "description": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive) and completed it.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_sent_30d": {"name": "count_surveys_sent_30d", "description": "Number of _distinct_ surveys sent to contacts in the past 30 days (inclusive).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_mailing_lists": {"name": "count_mailing_lists", "description": "Number of mailing lists the exist within the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1690564820.5478358, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__directory`", "raw_code": "with directory as (\n\n    select *\n    from {{ var('directory') }}\n),\n\ndirectory_contact as (\n    \n    select *\n    from {{ var('directory_contact') }}\n),\n\ndirectory_mailing_list as (\n\n    select *\n    from {{ var('directory_mailing_list') }}\n),\n\ndistribution_contact as (\n\n    select *\n    from {{ var('distribution_contact') }}\n),\n\ndistribution as (\n\n    select *\n    from {{ var('distribution') }}\n),\n\nagg_mailing_lists as (\n    \n    select \n        directory_id,\n        source_relation,\n        count(distinct mailing_list_id) as count_mailing_lists\n    \n    from directory_mailing_list\n    where not coalesce(is_deleted, false)\n    group by 1,2\n),\n\nagg_contacts as (\n\n    select \n        directory_id,\n        source_relation,\n        count(distinct email) as count_distinct_emails,\n        count(distinct phone) as count_distinct_phones,\n        count(distinct contact_id) as total_count_contacts,\n        count(distinct case when is_unsubscribed_from_directory then contact_id else null end) as total_count_unsubscribed_contacts,\n        count(distinct case when {{ fivetran_utils.timestamp_diff(first_date=\"created_at\", second_date=dbt.current_timestamp(), datepart=\"day\") }} <= 30 then contact_id else null end) as count_contacts_created_30d,\n        count(distinct case when is_unsubscribed_from_directory and {{ fivetran_utils.timestamp_diff(first_date=\"unsubscribed_from_directory_at\", second_date=dbt.current_timestamp(), datepart=\"day\") }} <= 30 then contact_id else null end) as count_contacts_unsubscribed_30d\n\n    from directory_contact\n    group by 1,2\n),\n\nagg_distributions as (\n-- of contacts sent surveys in the past 30 days, did they open or respond to the surveys?\n    select \n        directory_contact.directory_id,\n        directory_contact.source_relation, \n        count(distinct distribution_contact.contact_id) as count_contacts_sent_survey_30d, \n        count(distinct case when distribution_contact.opened_at is not null then distribution_contact.contact_id end) as count_contacts_opened_survey_30d,\n        count(distinct case when distribution_contact.response_started_at is not null then distribution_contact.contact_id end) as count_contacts_started_survey_30d,\n        count(distinct case when distribution_contact.response_completed_at is not null then distribution_contact.contact_id end) as count_contacts_completed_survey_30d,\n        count(distinct distribution.survey_id) as count_surveys_sent_30d\n        \n    from distribution_contact\n    inner join directory_contact \n        on distribution_contact.contact_id = directory_contact.contact_id\n        and distribution_contact.source_relation = directory_contact.source_relation\n    left join distribution \n        on distribution_contact.distribution_id = distribution.distribution_id \n        and distribution_contact.source_relation = distribution.source_relation\n    where sent_at is not null \n        and {{ fivetran_utils.timestamp_diff(first_date=\"distribution_contact.sent_at\", second_date=dbt.current_timestamp(), datepart=\"day\") }} <= 30\n    \n    group by 1,2\n),\n\nfinal as (\n\n    select \n        directory.*,\n        coalesce(agg_contacts.count_distinct_emails, 0) as count_distinct_emails,\n        coalesce(agg_contacts.count_distinct_phones, 0) as count_distinct_phones,\n        coalesce(agg_contacts.total_count_contacts, 0) as total_count_contacts,\n        coalesce(agg_contacts.total_count_unsubscribed_contacts, 0) as total_count_unsubscribed_contacts,\n        coalesce(agg_contacts.count_contacts_created_30d, 0) as count_contacts_created_30d,\n        coalesce(agg_contacts.count_contacts_unsubscribed_30d, 0) as count_contacts_unsubscribed_30d,\n        coalesce(agg_distributions.count_contacts_sent_survey_30d, 0) as count_contacts_sent_survey_30d,\n        coalesce(agg_distributions.count_contacts_opened_survey_30d, 0) as count_contacts_opened_survey_30d,\n        coalesce(agg_distributions.count_contacts_started_survey_30d, 0) as count_contacts_started_survey_30d,\n        coalesce(agg_distributions.count_contacts_completed_survey_30d, 0) as count_contacts_completed_survey_30d,\n        coalesce(agg_distributions.count_surveys_sent_30d, 0) as count_surveys_sent_30d,\n        coalesce(agg_mailing_lists.count_mailing_lists, 0) as count_mailing_lists\n\n    from directory \n    left join agg_contacts\n        on directory.directory_id = agg_contacts.directory_id\n        and directory.source_relation = agg_contacts.source_relation\n    left join agg_distributions\n        on directory.directory_id = agg_distributions.directory_id\n        and directory.source_relation = agg_distributions.source_relation\n    left join agg_mailing_lists\n        on directory.directory_id = agg_mailing_lists.directory_id\n        and directory.source_relation = agg_mailing_lists.source_relation\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__directory", "package": null, "version": null}, {"name": "stg_qualtrics__directory_contact", "package": null, "version": null}, {"name": "stg_qualtrics__directory_mailing_list", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_contact", "package": null, "version": null}, {"name": "stg_qualtrics__distribution", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.current_timestamp", "macro.fivetran_utils.timestamp_diff"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory", "model.qualtrics_source.stg_qualtrics__directory_contact", "model.qualtrics_source.stg_qualtrics__directory_mailing_list", "model.qualtrics_source.stg_qualtrics__distribution_contact", "model.qualtrics_source.stg_qualtrics__distribution"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__directory.sql", "compiled": true, "compiled_code": "with directory as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory`\n),\n\ndirectory_contact as (\n    \n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ndirectory_mailing_list as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`\n),\n\ndistribution_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\ndistribution as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution`\n),\n\nagg_mailing_lists as (\n    \n    select \n        directory_id,\n        source_relation,\n        count(distinct mailing_list_id) as count_mailing_lists\n    \n    from directory_mailing_list\n    where not coalesce(is_deleted, false)\n    group by 1,2\n),\n\nagg_contacts as (\n\n    select \n        directory_id,\n        source_relation,\n        count(distinct email) as count_distinct_emails,\n        count(distinct phone) as count_distinct_phones,\n        count(distinct contact_id) as total_count_contacts,\n        count(distinct case when is_unsubscribed_from_directory then contact_id else null end) as total_count_unsubscribed_contacts,\n        count(distinct case when \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        created_at,\n        day\n    )\n\n\n <= 30 then contact_id else null end) as count_contacts_created_30d,\n        count(distinct case when is_unsubscribed_from_directory and \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        unsubscribed_from_directory_at,\n        day\n    )\n\n\n <= 30 then contact_id else null end) as count_contacts_unsubscribed_30d\n\n    from directory_contact\n    group by 1,2\n),\n\nagg_distributions as (\n-- of contacts sent surveys in the past 30 days, did they open or respond to the surveys?\n    select \n        directory_contact.directory_id,\n        directory_contact.source_relation, \n        count(distinct distribution_contact.contact_id) as count_contacts_sent_survey_30d, \n        count(distinct case when distribution_contact.opened_at is not null then distribution_contact.contact_id end) as count_contacts_opened_survey_30d,\n        count(distinct case when distribution_contact.response_started_at is not null then distribution_contact.contact_id end) as count_contacts_started_survey_30d,\n        count(distinct case when distribution_contact.response_completed_at is not null then distribution_contact.contact_id end) as count_contacts_completed_survey_30d,\n        count(distinct distribution.survey_id) as count_surveys_sent_30d\n        \n    from distribution_contact\n    inner join directory_contact \n        on distribution_contact.contact_id = directory_contact.contact_id\n        and distribution_contact.source_relation = directory_contact.source_relation\n    left join distribution \n        on distribution_contact.distribution_id = distribution.distribution_id \n        and distribution_contact.source_relation = distribution.source_relation\n    where sent_at is not null \n        and \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        distribution_contact.sent_at,\n        day\n    )\n\n\n <= 30\n    \n    group by 1,2\n),\n\nfinal as (\n\n    select \n        directory.*,\n        coalesce(agg_contacts.count_distinct_emails, 0) as count_distinct_emails,\n        coalesce(agg_contacts.count_distinct_phones, 0) as count_distinct_phones,\n        coalesce(agg_contacts.total_count_contacts, 0) as total_count_contacts,\n        coalesce(agg_contacts.total_count_unsubscribed_contacts, 0) as total_count_unsubscribed_contacts,\n        coalesce(agg_contacts.count_contacts_created_30d, 0) as count_contacts_created_30d,\n        coalesce(agg_contacts.count_contacts_unsubscribed_30d, 0) as count_contacts_unsubscribed_30d,\n        coalesce(agg_distributions.count_contacts_sent_survey_30d, 0) as count_contacts_sent_survey_30d,\n        coalesce(agg_distributions.count_contacts_opened_survey_30d, 0) as count_contacts_opened_survey_30d,\n        coalesce(agg_distributions.count_contacts_started_survey_30d, 0) as count_contacts_started_survey_30d,\n        coalesce(agg_distributions.count_contacts_completed_survey_30d, 0) as count_contacts_completed_survey_30d,\n        coalesce(agg_distributions.count_surveys_sent_30d, 0) as count_surveys_sent_30d,\n        coalesce(agg_mailing_lists.count_mailing_lists, 0) as count_mailing_lists\n\n    from directory \n    left join agg_contacts\n        on directory.directory_id = agg_contacts.directory_id\n        and directory.source_relation = agg_contacts.source_relation\n    left join agg_distributions\n        on directory.directory_id = agg_distributions.directory_id\n        and directory.source_relation = agg_distributions.source_relation\n    left join agg_mailing_lists\n        on directory.directory_id = agg_mailing_lists.directory_id\n        and directory.source_relation = agg_mailing_lists.source_relation\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics.qualtrics__distribution": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics", "name": "qualtrics__distribution", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__distribution.sql", "original_file_path": "models/qualtrics__distribution.sql", "unique_id": "model.qualtrics.qualtrics__distribution", "fqn": ["qualtrics", "qualtrics__distribution"], "alias": "qualtrics__distribution", "checksum": {"name": "sha256", "checksum": "c1ab6dabd22ac2fc2ca59ac1a18fc4a4f455de56b09d7636ac59ce3d3c1e18d3"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "Table of each survey's distribution (method of reaching out to XM directory contacts) enhanced with  survey response and status metrics.\n", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_email": {"name": "header_from_email", "description": "Email from address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_name": {"name": "header_from_name", "description": "Email from name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_reply_to_email": {"name": "header_reply_to_email", "description": "Email reply-to address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_subject": {"name": "header_subject", "description": "Email subject; text or message id (MS_).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_id": {"name": "distribution_id", "description": "The unique Distribution ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_library_id": {"name": "message_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_id": {"name": "message_id", "description": "The ID for the desired library message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_text": {"name": "message_text", "description": "Text of the message to send.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "organization_id": {"name": "organization_id", "description": "ID of the organization/brand this record belongs to.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "parent_distribution_id": {"name": "parent_distribution_id", "description": "The unique ID of the parent distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_contact_id": {"name": "recipient_contact_id", "description": "The contact ID of the recipient. Can point to `directory_contact` or `core_contact`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_library_id": {"name": "recipient_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_mailing_list_id": {"name": "recipient_mailing_list_id", "description": "The mailing list or contact group associated with the distribution(s). Can point to `directory_mailing_list` or `core_mailing_list`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_sample_id": {"name": "recipient_sample_id", "description": "The ID for the desired sample. Can point to `directory_sample` or `core_sample` (not included in package).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_status": {"name": "request_status", "description": "The distribution's status. States include `Pending` and `Done`. The Pending state is for email that is scheduled to be sent at a later time.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_type": {"name": "request_type", "description": "The distribution's type. Types include `Invite`, `Reminder`, and `ThankYou`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "send_at": {"name": "send_at", "description": "The date and time the request will be or was sent (in ISO 8601 format). Note that this date and time could be in the future if the email distribution is scheduled to send after a delay.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_expires_at": {"name": "survey_link_expires_at", "description": "The expiration date for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_type": {"name": "survey_link_type", "description": "The link type (`Individual`, `Anonymous`, or `Multiple`) for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique survey ID. Will be non-null even if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "parent_distribution_header_subject": {"name": "parent_distribution_header_subject", "description": "Email subject; text or message id (MS_) of the parent distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_mailing_list_name": {"name": "recipient_mailing_list_name", "description": "Name of the mailing list associated with the distribution(s).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_email": {"name": "owner_email", "description": "Email of the `USER` who owns the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_first_name": {"name": "owner_first_name", "description": "First name of the `user` who owns the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_last_name": {"name": "owner_last_name", "description": "Surname of the `user` who owns the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_contacts": {"name": "total_count_contacts", "description": "Total number of contacts.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_sent_surveys": {"name": "count_contacts_sent_surveys", "description": "Count of unique contacts who have been sent surveys via the distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_opened_surveys": {"name": "count_contacts_opened_surveys", "description": "Count of unique contacts who have opened surveys via the distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_started_surveys": {"name": "count_contacts_started_surveys", "description": "Count of unique contacts who have started surveys via the distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_completed_surveys": {"name": "count_contacts_completed_surveys", "description": "Count of unique contacts who have completed surveys via the distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_survey_sent_at": {"name": "first_survey_sent_at", "description": "Timestamp of when the first survey was sent via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_survey_sent_at": {"name": "last_survey_sent_at", "description": "Timestamp of when a survey was most recently sent out via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_survey_opened_at": {"name": "first_survey_opened_at", "description": "Timestamp of when the first survey was opened via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_survey_opened_at": {"name": "last_survey_opened_at", "description": "Timestamp of when a survey was most recently opened via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_response_completed_at": {"name": "first_response_completed_at", "description": "Timestamp of when the first survey was completed via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_response_completed_at": {"name": "last_response_completed_at", "description": "Timestamp of when a survey was most recently completed via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_time_to_open_in_seconds": {"name": "avg_time_to_open_in_seconds", "description": "Average time difference between when a survey was sent and when it was opened.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_time_to_start_in_seconds": {"name": "avg_time_to_start_in_seconds", "description": "Average time difference between when a survey was **sent** and when it was started.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_time_to_complete_in_seconds": {"name": "avg_time_to_complete_in_seconds", "description": "Average time difference between when a survey was **sent** and when it was completed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_time_to_open_in_seconds": {"name": "median_time_to_open_in_seconds", "description": "Median time difference between when a survey was sent and when it was opened.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_time_to_start_in_seconds": {"name": "median_time_to_start_in_seconds", "description": "Median time difference between when a survey was **sent** and when it was started.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_time_to_complete_in_seconds": {"name": "median_time_to_complete_in_seconds", "description": "Median time difference between when a survey was **sent** and when it was completed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_pending": {"name": "current_count_surveys_pending", "description": "Count of distributed surveys currently pending (the distribution is scheduled but has yet to be sent).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_success": {"name": "current_count_surveys_success", "description": "Count of distributed surveys currently with a status of `success` (the distribution was successfully delivered to the contact).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_error": {"name": "current_count_surveys_error", "description": "Count of distributed surveys currently with a status of `error` (an error occurred while attempting to send the distribution).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_opened": {"name": "current_count_surveys_opened", "description": "Count of distributed surveys currently with a status of `opened` (the distribution was opened by the contact).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_complaint": {"name": "current_count_surveys_complaint", "description": "Count of distributed surveys currently with a status of `complaint` (the contact complained that the distribution was spam).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_skipped": {"name": "current_count_surveys_skipped", "description": "Count of distributed surveys currently with a status of `skipped` (the contact was skipped due to contact frequency rules or blacklisted contact information).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_blocked": {"name": "current_count_surveys_blocked", "description": "Count of distributed surveys currently with a status of `blocked` (the distribution failed to send, because the contact blocked it or the email was caught by the spam circuit breaker).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_failure": {"name": "current_count_surveys_failure", "description": "Count of distributed surveys currently with a status of `failed` (the distribution failed to be delivered).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_unknown": {"name": "current_count_surveys_unknown", "description": "Count of distributed surveys currently with a status of `unknown` (the distribution failed for an unknown reason).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_softbounce": {"name": "current_count_surveys_softbounce", "description": "Count of distributed surveys currently with a status of `softbounce` (the distribution bounced but can be retried).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_hardbounce": {"name": "current_count_surveys_hardbounce", "description": "Count of distributed surveys currently with a status of `hardbounce` (the distribution bounced and should not be retried).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_surveystarted": {"name": "current_count_surveys_surveystarted", "description": "Count of distributed surveys currently with a status of `surveystarted` (the contact started the survey distributed).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_surveyfinished": {"name": "current_count_surveys_surveyfinished", "description": "Count of distributed surveys currently with a status of `surveyfinished` (the contact submitted a completed survey response).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_surveyscreenedout": {"name": "current_count_surveys_surveyscreenedout", "description": "Count of distributed surveys currently with a status of `surveyscreenedout` (the contact screened out while taking the survey).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_sessionexpired": {"name": "current_count_surveys_sessionexpired", "description": "Count of distributed surveys currently with a status of `sessionexpired` (the contact's survey session has expired).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_surveypartiallyfinished": {"name": "current_count_surveys_surveypartiallyfinished", "description": "Count of distributed surveys currently with a status of `surveypartiallyfinished` (the contact submitted a partially completed survey response).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1690564820.5581079, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__distribution`", "raw_code": "with distribution as (\n\n    select *\n    from {{ var('distribution') }}\n),\n\nqualtrics_user as (\n\n    select *\n    from {{ var('user') }}\n),\n\ndirectory_mailing_list as (\n\n    select *\n    from {{ var('directory_mailing_list') }}\n),\n\n{% if var('qualtrics__using_core_mailing_lists', false) %}\ncore_mailing_list as (\n\n    select *\n    from {{ var('core_mailing_list') }}\n),\n{% endif %}\n\ndistribution_contact as (\n\n    select \n        *,\n        -- all relative to sent_at (should response be relative to opened_at?)\n        {{ fivetran_utils.timestamp_diff(first_date=\"sent_at\", second_date=\"opened_at\", datepart=\"second\") }} as time_to_open_in_seconds,\n        {{ fivetran_utils.timestamp_diff(first_date=\"sent_at\", second_date=\"response_started_at\", datepart=\"second\") }} as time_to_start_in_seconds,\n        {{ fivetran_utils.timestamp_diff(first_date=\"sent_at\", second_date=\"response_completed_at\", datepart=\"second\") }} as time_to_complete_in_seconds\n\n\n    from {{ var('distribution_contact') }}\n),\n\npivoted_metrics as (\n\n    select \n        distribution_id,\n        source_relation,\n        -- current metrics\n        {% for status in ('pending','success','error','opened','complaint','skipped','blocked','failure','unknown','softbounce','hardbounce','surveystarted','surveypartiallyfinished', 'surveyfinished','surveyscreenedout','sessionexpired') %}\n        sum(case when lower(status) = '{{ status }}' then 1 else 0 end) as current_count_surveys_{{ status }},\n        {% endfor %}\n        count(distinct contact_id) as total_count_contacts,\n        count(distinct case when sent_at is not null then contact_id else null end) as count_contacts_sent_surveys,\n        count(distinct case when opened_at is not null then contact_id else null end) as count_contacts_opened_surveys,\n        count(distinct case when response_started_at is not null then contact_id else null end) as count_contacts_started_surveys,\n        count(distinct case when response_completed_at is not null then contact_id else null end) as count_contacts_completed_surveys,\n        min(sent_at) as first_survey_sent_at,\n        max(sent_at) as last_survey_sent_at,\n        min(opened_at) as first_survey_opened_at,\n        max(opened_at) as last_survey_opened_at,\n        min(response_completed_at) as first_response_completed_at,\n        max(response_completed_at) as last_response_completed_at,\n        avg(time_to_open_in_seconds) as avg_time_to_open_in_seconds,\n        avg(time_to_start_in_seconds) as avg_time_to_start_in_seconds,\n        avg(time_to_complete_in_seconds) as avg_time_to_complete_in_seconds\n\n    from distribution_contact\n    group by 1,2\n),\n\ncalc_medians as (\n    \n    select \n        distribution_id,\n        source_relation,\n        median_time_to_open_in_seconds,\n        median_time_to_start_in_seconds,\n        median_time_to_complete_in_seconds\n    from (\n        select \n            distribution_id, \n            source_relation,\n            {{ fivetran_utils.percentile(percentile_field='time_to_open_in_seconds', partition_field='distribution_id,source_relation', percent='0.5') }} as median_time_to_open_in_seconds,\n            {{ fivetran_utils.percentile(percentile_field='time_to_start_in_seconds', partition_field='distribution_id,source_relation', percent='0.5') }} as median_time_to_start_in_seconds,\n            {{ fivetran_utils.percentile(percentile_field='time_to_complete_in_seconds', partition_field='distribution_id,source_relation', percent='0.5') }} as median_time_to_complete_in_seconds\n\n        from distribution_contact\n        {% if target.type == 'postgres' %} group by 1,2 {% endif %} -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n    {% if target.type != 'postgres' %} group by 1,2,3,4,5 {% endif %} -- roll up if using window function\n),\n\nfinal as (\n\n    select \n        distribution.*,\n        parent_distribution.header_subject as parent_distribution_header_subject,\n        {% if var('qualtrics__using_core_mailing_lists', false) -%} coalesce(directory_mailing_list.name, core_mailing_list.name) {%- else %} directory_mailing_list.name {%- endif %} as recipient_mailing_list_name,\n        qualtrics_user.email as owner_email,\n        qualtrics_user.first_name as owner_first_name,\n        qualtrics_user.last_name as owner_last_name,\n        {% for status in ('pending','success','error','opened','complaint','skipped','blocked','failure','unknown','softbounce','hardbounce','surveystarted','surveypartiallyfinished','surveyfinished','surveyscreenedout','sessionexpired') %}\n        coalesce(pivoted_metrics.current_count_surveys_{{ status }}, 0) as current_count_surveys_{{ status }},\n        {% endfor %}\n        coalesce(pivoted_metrics.total_count_contacts, 0) as total_count_contacts,\n        coalesce(pivoted_metrics.count_contacts_sent_surveys, 0) as count_contacts_sent_surveys,\n        coalesce(pivoted_metrics.count_contacts_opened_surveys, 0) as count_contacts_opened_surveys,\n        coalesce(pivoted_metrics.count_contacts_started_surveys, 0) as count_contacts_started_surveys,\n        coalesce(pivoted_metrics.count_contacts_completed_surveys, 0) as count_contacts_completed_surveys,\n        pivoted_metrics.first_survey_sent_at,\n        pivoted_metrics.last_survey_sent_at,\n        pivoted_metrics.first_survey_opened_at,\n        pivoted_metrics.last_survey_opened_at,\n        pivoted_metrics.first_response_completed_at,\n        pivoted_metrics.last_response_completed_at,\n        pivoted_metrics.avg_time_to_open_in_seconds,\n        pivoted_metrics.avg_time_to_start_in_seconds,\n        pivoted_metrics.avg_time_to_complete_in_seconds,\n        calc_medians.median_time_to_open_in_seconds,\n        calc_medians.median_time_to_start_in_seconds,\n        calc_medians.median_time_to_complete_in_seconds\n\n    from distribution\n    left join qualtrics_user \n        on distribution.owner_user_id = qualtrics_user.user_id \n        and distribution.source_relation = qualtrics_user.source_relation\n    left join distribution as parent_distribution\n        on distribution.parent_distribution_id = parent_distribution.distribution_id\n        and distribution.source_relation = parent_distribution.source_relation\n    left join pivoted_metrics \n        on distribution.distribution_id = pivoted_metrics.distribution_id \n        and distribution.source_relation = pivoted_metrics.source_relation\n    left join calc_medians \n        on distribution.distribution_id = calc_medians.distribution_id \n        and distribution.source_relation = calc_medians.source_relation\n    left join directory_mailing_list\n        on distribution.recipient_mailing_list_id = directory_mailing_list.mailing_list_id\n        and distribution.source_relation = directory_mailing_list.source_relation\n    {% if var('qualtrics__using_core_mailing_lists', false) %}\n    left join core_mailing_list\n        on distribution.recipient_mailing_list_id = core_mailing_list.mailing_list_id\n        and distribution.source_relation = core_mailing_list.source_relation\n    {% endif %}\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution", "package": null, "version": null}, {"name": "stg_qualtrics__user", "package": null, "version": null}, {"name": "stg_qualtrics__directory_mailing_list", "package": null, "version": null}, {"name": "stg_qualtrics__core_mailing_list", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.timestamp_diff", "macro.fivetran_utils.percentile"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution", "model.qualtrics_source.stg_qualtrics__user", "model.qualtrics_source.stg_qualtrics__directory_mailing_list", "model.qualtrics_source.stg_qualtrics__core_mailing_list", "model.qualtrics_source.stg_qualtrics__distribution_contact"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__distribution.sql", "compiled": true, "compiled_code": "with distribution as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution`\n),\n\nqualtrics_user as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__user`\n),\n\ndirectory_mailing_list as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`\n),\n\n\ncore_mailing_list as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`\n),\n\n\ndistribution_contact as (\n\n    select \n        *,\n        -- all relative to sent_at (should response be relative to opened_at?)\n        \n  \n\n    timestamp_diff(\n        opened_at,\n        sent_at,\n        second\n    )\n\n\n as time_to_open_in_seconds,\n        \n  \n\n    timestamp_diff(\n        response_started_at,\n        sent_at,\n        second\n    )\n\n\n as time_to_start_in_seconds,\n        \n  \n\n    timestamp_diff(\n        response_completed_at,\n        sent_at,\n        second\n    )\n\n\n as time_to_complete_in_seconds\n\n\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\npivoted_metrics as (\n\n    select \n        distribution_id,\n        source_relation,\n        -- current metrics\n        \n        sum(case when lower(status) = 'pending' then 1 else 0 end) as current_count_surveys_pending,\n        \n        sum(case when lower(status) = 'success' then 1 else 0 end) as current_count_surveys_success,\n        \n        sum(case when lower(status) = 'error' then 1 else 0 end) as current_count_surveys_error,\n        \n        sum(case when lower(status) = 'opened' then 1 else 0 end) as current_count_surveys_opened,\n        \n        sum(case when lower(status) = 'complaint' then 1 else 0 end) as current_count_surveys_complaint,\n        \n        sum(case when lower(status) = 'skipped' then 1 else 0 end) as current_count_surveys_skipped,\n        \n        sum(case when lower(status) = 'blocked' then 1 else 0 end) as current_count_surveys_blocked,\n        \n        sum(case when lower(status) = 'failure' then 1 else 0 end) as current_count_surveys_failure,\n        \n        sum(case when lower(status) = 'unknown' then 1 else 0 end) as current_count_surveys_unknown,\n        \n        sum(case when lower(status) = 'softbounce' then 1 else 0 end) as current_count_surveys_softbounce,\n        \n        sum(case when lower(status) = 'hardbounce' then 1 else 0 end) as current_count_surveys_hardbounce,\n        \n        sum(case when lower(status) = 'surveystarted' then 1 else 0 end) as current_count_surveys_surveystarted,\n        \n        sum(case when lower(status) = 'surveypartiallyfinished' then 1 else 0 end) as current_count_surveys_surveypartiallyfinished,\n        \n        sum(case when lower(status) = 'surveyfinished' then 1 else 0 end) as current_count_surveys_surveyfinished,\n        \n        sum(case when lower(status) = 'surveyscreenedout' then 1 else 0 end) as current_count_surveys_surveyscreenedout,\n        \n        sum(case when lower(status) = 'sessionexpired' then 1 else 0 end) as current_count_surveys_sessionexpired,\n        \n        count(distinct contact_id) as total_count_contacts,\n        count(distinct case when sent_at is not null then contact_id else null end) as count_contacts_sent_surveys,\n        count(distinct case when opened_at is not null then contact_id else null end) as count_contacts_opened_surveys,\n        count(distinct case when response_started_at is not null then contact_id else null end) as count_contacts_started_surveys,\n        count(distinct case when response_completed_at is not null then contact_id else null end) as count_contacts_completed_surveys,\n        min(sent_at) as first_survey_sent_at,\n        max(sent_at) as last_survey_sent_at,\n        min(opened_at) as first_survey_opened_at,\n        max(opened_at) as last_survey_opened_at,\n        min(response_completed_at) as first_response_completed_at,\n        max(response_completed_at) as last_response_completed_at,\n        avg(time_to_open_in_seconds) as avg_time_to_open_in_seconds,\n        avg(time_to_start_in_seconds) as avg_time_to_start_in_seconds,\n        avg(time_to_complete_in_seconds) as avg_time_to_complete_in_seconds\n\n    from distribution_contact\n    group by 1,2\n),\n\ncalc_medians as (\n    \n    select \n        distribution_id,\n        source_relation,\n        median_time_to_open_in_seconds,\n        median_time_to_start_in_seconds,\n        median_time_to_complete_in_seconds\n    from (\n        select \n            distribution_id, \n            source_relation,\n            \n\n    percentile_cont( \n        time_to_open_in_seconds, \n        0.5) \n        over (partition by distribution_id,source_relation    \n        )\n\n as median_time_to_open_in_seconds,\n            \n\n    percentile_cont( \n        time_to_start_in_seconds, \n        0.5) \n        over (partition by distribution_id,source_relation    \n        )\n\n as median_time_to_start_in_seconds,\n            \n\n    percentile_cont( \n        time_to_complete_in_seconds, \n        0.5) \n        over (partition by distribution_id,source_relation    \n        )\n\n as median_time_to_complete_in_seconds\n\n        from distribution_contact\n         -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n     group by 1,2,3,4,5  -- roll up if using window function\n),\n\nfinal as (\n\n    select \n        distribution.*,\n        parent_distribution.header_subject as parent_distribution_header_subject,\n        coalesce(directory_mailing_list.name, core_mailing_list.name) as recipient_mailing_list_name,\n        qualtrics_user.email as owner_email,\n        qualtrics_user.first_name as owner_first_name,\n        qualtrics_user.last_name as owner_last_name,\n        \n        coalesce(pivoted_metrics.current_count_surveys_pending, 0) as current_count_surveys_pending,\n        \n        coalesce(pivoted_metrics.current_count_surveys_success, 0) as current_count_surveys_success,\n        \n        coalesce(pivoted_metrics.current_count_surveys_error, 0) as current_count_surveys_error,\n        \n        coalesce(pivoted_metrics.current_count_surveys_opened, 0) as current_count_surveys_opened,\n        \n        coalesce(pivoted_metrics.current_count_surveys_complaint, 0) as current_count_surveys_complaint,\n        \n        coalesce(pivoted_metrics.current_count_surveys_skipped, 0) as current_count_surveys_skipped,\n        \n        coalesce(pivoted_metrics.current_count_surveys_blocked, 0) as current_count_surveys_blocked,\n        \n        coalesce(pivoted_metrics.current_count_surveys_failure, 0) as current_count_surveys_failure,\n        \n        coalesce(pivoted_metrics.current_count_surveys_unknown, 0) as current_count_surveys_unknown,\n        \n        coalesce(pivoted_metrics.current_count_surveys_softbounce, 0) as current_count_surveys_softbounce,\n        \n        coalesce(pivoted_metrics.current_count_surveys_hardbounce, 0) as current_count_surveys_hardbounce,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveystarted, 0) as current_count_surveys_surveystarted,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveypartiallyfinished, 0) as current_count_surveys_surveypartiallyfinished,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveyfinished, 0) as current_count_surveys_surveyfinished,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveyscreenedout, 0) as current_count_surveys_surveyscreenedout,\n        \n        coalesce(pivoted_metrics.current_count_surveys_sessionexpired, 0) as current_count_surveys_sessionexpired,\n        \n        coalesce(pivoted_metrics.total_count_contacts, 0) as total_count_contacts,\n        coalesce(pivoted_metrics.count_contacts_sent_surveys, 0) as count_contacts_sent_surveys,\n        coalesce(pivoted_metrics.count_contacts_opened_surveys, 0) as count_contacts_opened_surveys,\n        coalesce(pivoted_metrics.count_contacts_started_surveys, 0) as count_contacts_started_surveys,\n        coalesce(pivoted_metrics.count_contacts_completed_surveys, 0) as count_contacts_completed_surveys,\n        pivoted_metrics.first_survey_sent_at,\n        pivoted_metrics.last_survey_sent_at,\n        pivoted_metrics.first_survey_opened_at,\n        pivoted_metrics.last_survey_opened_at,\n        pivoted_metrics.first_response_completed_at,\n        pivoted_metrics.last_response_completed_at,\n        pivoted_metrics.avg_time_to_open_in_seconds,\n        pivoted_metrics.avg_time_to_start_in_seconds,\n        pivoted_metrics.avg_time_to_complete_in_seconds,\n        calc_medians.median_time_to_open_in_seconds,\n        calc_medians.median_time_to_start_in_seconds,\n        calc_medians.median_time_to_complete_in_seconds\n\n    from distribution\n    left join qualtrics_user \n        on distribution.owner_user_id = qualtrics_user.user_id \n        and distribution.source_relation = qualtrics_user.source_relation\n    left join distribution as parent_distribution\n        on distribution.parent_distribution_id = parent_distribution.distribution_id\n        and distribution.source_relation = parent_distribution.source_relation\n    left join pivoted_metrics \n        on distribution.distribution_id = pivoted_metrics.distribution_id \n        and distribution.source_relation = pivoted_metrics.source_relation\n    left join calc_medians \n        on distribution.distribution_id = calc_medians.distribution_id \n        and distribution.source_relation = calc_medians.source_relation\n    left join directory_mailing_list\n        on distribution.recipient_mailing_list_id = directory_mailing_list.mailing_list_id\n        and distribution.source_relation = directory_mailing_list.source_relation\n    \n    left join core_mailing_list\n        on distribution.recipient_mailing_list_id = core_mailing_list.mailing_list_id\n        and distribution.source_relation = core_mailing_list.source_relation\n    \n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics.qualtrics__response": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics", "name": "qualtrics__response", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__response.sql", "original_file_path": "models/qualtrics__response.sql", "unique_id": "model.qualtrics.qualtrics__response", "fqn": ["qualtrics", "qualtrics__response"], "alias": "qualtrics__response", "checksum": {"name": "sha256", "checksum": "a6c38bf875198e0a1e04b46fdefb27673207dffdffbb5849be4b53f67a6738ae"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "Breakdown of responses to individual questions (and their sub-questions). Enhanced with information regarding the survey-level  response and the survey.\n", "columns": {"question_response_id": {"name": "question_response_id", "description": "Fivetran-generated unique key hashed on `response_id`, `question_id`, `sub_question_key`, `sub_question_text` , `question_option_key` , `loop_id` and `importId`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_response_id": {"name": "survey_response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_text": {"name": "question_text", "description": "Text for the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_key": {"name": "sub_question_key", "description": "Key of the sub question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_text": {"name": "sub_question_text", "description": "Sub question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_option_key": {"name": "question_option_key", "description": "The key of the `QUESTION_OPTION` that was chosen.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "value": {"name": "value", "description": "Value of the question response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "loop_id": {"name": "loop_id", "description": "ID of the [Loop and Merge](https://www.qualtrics.com/support/survey-platform/survey-module/block-options/loop-and-merge/) object this response is associated with.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_channel": {"name": "distribution_channel", "description": "The method by which the survey was distributed to respondents.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_response_status": {"name": "survey_response_status", "description": "The type of response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_progress": {"name": "survey_progress", "description": "How far the respondent has progressed through the survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "duration_in_seconds": {"name": "duration_in_seconds", "description": "How long it took for the respondent to finish the survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_finished_with_survey": {"name": "is_finished_with_survey", "description": "Boolean (stored as int) indicating if the respondent finished and submitted the survey, the value will be 1, otherwise it will be 0.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_finished_at": {"name": "survey_finished_at", "description": "The point in time when the survey response was finished.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_response_last_modified_at": {"name": "survey_response_last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_response_recorded_at": {"name": "survey_response_recorded_at", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_response_started_at": {"name": "survey_response_started_at", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_email": {"name": "recipient_email", "description": "Email of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_first_name": {"name": "recipient_first_name", "description": "First name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_last_name": {"name": "recipient_last_name", "description": "Last name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_language": {"name": "user_language", "description": "The language of the respondent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ip_address": {"name": "ip_address", "description": "IP address of the recipient.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_latitude": {"name": "location_latitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_longitude": {"name": "location_longitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recode_value": {"name": "recode_value", "description": "Recode/mapping value for the option.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_option_text": {"name": "question_option_text", "description": "Question option text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email_domain": {"name": "email_domain", "description": "Domain of the contact's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_language": {"name": "contact_language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_external_data_reference": {"name": "contact_external_data_reference", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "embedded_data": {"name": "embedded_data", "description": "JSON of  Any extra information you would like recorded in addition to the question responses (from the `survey_embedded_data` source table).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_name": {"name": "survey_name", "description": "Name of the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_status": {"name": "survey_status", "description": "The distribution status of the survey, or a flag indicating that it's a library block\n\nAllowed values - `Inactive`, `Active`, `Pending`, `LibBlock`, `Deactive`, `Temporary`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_category": {"name": "project_category", "description": "Project category of the survey.\n\nAllowed values - `CORE`, `CX`, `EX`, `BX`, `PX`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_type": {"name": "project_type", "description": "Type of [Qualtrics project](https://www.qualtrics.com/support/survey-platform/my-projects/my-projects-overview/#SelectingProjectType). Match pattern = ^[a-zA-Z]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_base_url": {"name": "brand_base_url", "description": "Base url for the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_description": {"name": "question_description", "description": "Label to identify the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_type": {"name": "question_type", "description": "The type of question. Can be -\n`MC`,`Matrix`,`Captcha`,`CS`,`DB`,`DD`,`Draw`,`DynamicMatrix`,`FileUpload`,`GAP`,`HeatMap`,`HL`,`HotSpot`,`Meta`,`PGR`,`RO`,`SBS`,`Slider`,`SS`,`TE`,`Timing`,`TreeSelect`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_id": {"name": "block_id", "description": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_description": {"name": "block_description", "description": "Description given to the block.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_question_randomization": {"name": "block_question_randomization", "description": "If/how the block questions are randomized. Can be - `false` (no randomization), `RandomWithXPerPage` (randomize all and place X questions in each block), `RandomWithOnlyX` (randomly present only X out of the total questions), or `Advanced` (custom configuration)", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_type": {"name": "block_type", "description": "Type of block. Can be `Trash`, `Default`, or `Standard`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_visibility": {"name": "block_visibility", "description": "Whether the questions in the block are 'collapsed' or 'expanded' by default.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response": {"name": "validation_setting_force_response", "description": "The response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response_type": {"name": "validation_setting_force_response_type", "description": "The type of response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_type": {"name": "validation_setting_type", "description": "The type of forced response validation that is set.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_question_deleted": {"name": "is_question_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_block_deleted": {"name": "is_block_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_xm_directory_contact": {"name": "is_xm_directory_contact", "description": "Boolean representing whether the contact came from the XM Directory API endpoint (ie stored in the `directory_contact` table).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_research_core_contact": {"name": "is_research_core_contact", "description": "Boolean representing whether the contact came from the (to-be-deprecated) Research Core API endpoint (ie stored in the `core_contact` table).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1690564820.571197, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__response`", "raw_code": "with response as (\n    -- will probably move the logic from this int model to the end model directly \n    select *\n    from {{ ref('int_qualtrics__responses') }}\n),\n\nquestion_option as (\n\n    select *\n    from {{ var('question_option') }}\n),\n\nquestion as (\n\n    select *\n    from {{ ref('int_qualtrics__question') }}\n),\n\nsurvey as (\n\n    select *\n    from {{ var('survey') }}\n),\n\nembedded_data as (\n\n    select *\n    from {{ ref('int_qualtrics__survey_embedded_data') }}\n),\n\ncontacts as (\n\n    select *\n    from {{ ref('int_qualtrics__contacts') }}\n),\n\nrollup_contacts as (\n\n    select \n        email,\n        source_relation,\n        max(email_domain) as email_domain,\n        max(first_name) as first_name,\n        max(last_name) as last_name,\n        max(language) as language,\n        max(external_data_reference) as external_data_reference,\n        {{ fivetran_utils.max_bool(boolean_field=\"is_xm_directory_contact\") }} as is_xm_directory_contact,\n        {{ fivetran_utils.max_bool(boolean_field=\"is_research_core_contact\") }} as is_research_core_contact\n\n    from contacts\n    group by 1,2\n),\n\nfinal as (\n\n    select \n        response.*,\n        question_option.recode_value,\n        question_option.text as question_option_text,\n        rollup_contacts.first_name,\n        rollup_contacts.last_name,\n        rollup_contacts.email_domain,\n        rollup_contacts.language as contact_language,\n        rollup_contacts.external_data_reference as contact_external_data_reference,\n        rollup_contacts.is_xm_directory_contact,\n        rollup_contacts.is_research_core_contact,\n\n        embedded_data.embedded_data,\n        survey.survey_name,\n        survey.survey_status,\n        survey.project_category,\n        survey.project_type,\n        survey.brand_base_url,\n        \n        -- most question fields are included, as there is no question end model. join with `int_qualtrics__question` to bring in more\n        question.question_description,\n        question.question_type,\n        question.block_id,\n        question.block_description,\n        question.block_question_randomization,\n        question.block_type,\n        question.block_visibility,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.is_question_deleted,\n        question.is_block_deleted\n\n    from response\n\n    left join question\n        on response.question_id = question.question_id\n        and response.survey_id = question.survey_id\n        and response.sub_question_key = question.sub_question_key\n        and response.source_relation = question.source_relation\n\n    left join question_option\n        on response.question_id = question_option.question_id \n        and response.survey_id = question_option.survey_id\n        and response.question_option_key = question_option.key\n        and response.source_relation = question_option.source_relation\n\n    left join survey\n        on response.survey_id = survey.survey_id\n        and response.source_relation = survey.source_relation\n\n    left join embedded_data\n        on response.survey_response_id = embedded_data.response_id\n        and response.source_relation = embedded_data.source_relation\n\n    left join rollup_contacts \n        on response.recipient_email = rollup_contacts.email\n        and response.source_relation = rollup_contacts.source_relation\n\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "int_qualtrics__responses", "package": null, "version": null}, {"name": "stg_qualtrics__question_option", "package": null, "version": null}, {"name": "int_qualtrics__question", "package": null, "version": null}, {"name": "stg_qualtrics__survey", "package": null, "version": null}, {"name": "int_qualtrics__survey_embedded_data", "package": null, "version": null}, {"name": "int_qualtrics__contacts", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.max_bool"], "nodes": ["model.qualtrics.int_qualtrics__responses", "model.qualtrics_source.stg_qualtrics__question_option", "model.qualtrics.int_qualtrics__question", "model.qualtrics_source.stg_qualtrics__survey", "model.qualtrics.int_qualtrics__survey_embedded_data", "model.qualtrics.int_qualtrics__contacts"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__response.sql", "compiled": true, "compiled_code": "with  __dbt__cte__int_qualtrics__responses as (\nwith question_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_response`\n),\n\nsurvey_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\nresponse_join as (\n\n    select \n        question_response._fivetran_id as question_response_id,\n        question_response.response_id as survey_response_id,\n        survey_response.survey_id,\n        question_response.question_id,\n        question_response.question as question_text,\n        question_response.sub_question_key,\n        question_response.sub_question_text,\n        question_response.question_option_key,\n        question_response.value,\n        question_response.loop_id,\n        survey_response.distribution_channel,\n        survey_response.status as survey_response_status,\n        survey_response.progress as survey_progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished as is_finished_with_survey,\n        survey_response.finished_at as survey_finished_at,\n        survey_response.last_modified_at as survey_response_last_modified_at,\n        survey_response.recorded_date as survey_response_recorded_at,\n        survey_response.started_at as survey_response_started_at,\n        survey_response.recipient_email,\n        survey_response.recipient_first_name,\n        survey_response.recipient_last_name,\n        survey_response.user_language,\n        survey_response.ip_address,\n        survey_response.location_latitude,\n        survey_response.location_longitude,\n        question_response.source_relation\n    \n    from question_response \n    inner join survey_response -- every question response will belong to an overall \"survey response\"\n        on question_response.response_id = survey_response.response_id\n        and question_response.source_relation = survey_response.source_relation\n        \n)\n\nselect *\nfrom response_join\n),  __dbt__cte__int_qualtrics__question as (\nwith question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question`\n),\n\nblock_question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block_question`\n    where not coalesce(is_deleted, false) -- lets get rid of deleted questions\n),\n\nblock as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block`\n),\n\nsub_question as (\n    \n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__sub_question`\n),\n\nquestion_join as (\n\n    select\n        question.question_id,\n        \n\n  \n    split(\n        question.question_id,\n        '#'\n        )[safe_offset(0)]\n  \n\n as parent_question_id,\n        question.question_text,\n        question.survey_id,\n        question.question_description,\n        question.question_description_option,\n        sub_question.key as sub_question_key,\n        sub_question.text as sub_question_text,\n        question.question_type,\n        question.selector,\n        question.sub_selector,\n        question.is_data_hidden,\n        question.is_data_private,\n        question.is_deleted as is_question_deleted,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.data_export_tag,\n        sub_question.choice_data_export_tag,\n        block.block_id,\n        block.description as block_description,\n        block.randomize_questions as block_question_randomization,\n        block.type as block_type,\n        block.block_visibility,\n        block.is_locked as is_block_locked,\n        block.is_deleted as is_block_deleted,\n        question.next_answer_id,\n        question.next_choice_id,\n        question.source_relation\n\n    from question\n    left join sub_question\n        on question.question_id = sub_question.question_id \n        and question.survey_id = sub_question.survey_id\n        and question.source_relation = sub_question.source_relation\n    \n    left join block_question\n        on question.question_id = block_question.question_id\n        and question.survey_id = block_question.survey_id\n        and question.source_relation = block_question.source_relation\n\n    left join block\n        on block_question.block_id = block.block_id\n        and block_question.survey_id = block.survey_id\n        and block_question.source_relation = block.source_relation\n\n)\n\nselect *\nfrom question_join\n),  __dbt__cte__int_qualtrics__survey_embedded_data as (\nwith survey_embedded_data as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`\n),\n\njsonify as (\n\n    select\n        response_id, -- survey_response\n        source_relation,\n        '{' || \n    string_agg(key || ':' || value, ', ')\n\n || '}' as embedded_data\n    from survey_embedded_data\n    group by 1,2\n)\n\nselect \n    response_id,\n    source_relation,\n    embedded_data\nfrom jsonify \ngroup by 1,2,3\n),  __dbt__cte__int_qualtrics__contacts as (\n\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final\n),response as (\n    -- will probably move the logic from this int model to the end model directly \n    select *\n    from __dbt__cte__int_qualtrics__responses\n),\n\nquestion_option as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_option`\n),\n\nquestion as (\n\n    select *\n    from __dbt__cte__int_qualtrics__question\n),\n\nsurvey as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey`\n),\n\nembedded_data as (\n\n    select *\n    from __dbt__cte__int_qualtrics__survey_embedded_data\n),\n\ncontacts as (\n\n    select *\n    from __dbt__cte__int_qualtrics__contacts\n),\n\nrollup_contacts as (\n\n    select \n        email,\n        source_relation,\n        max(email_domain) as email_domain,\n        max(first_name) as first_name,\n        max(last_name) as last_name,\n        max(language) as language,\n        max(external_data_reference) as external_data_reference,\n        \n\n    max( is_xm_directory_contact )\n\n as is_xm_directory_contact,\n        \n\n    max( is_research_core_contact )\n\n as is_research_core_contact\n\n    from contacts\n    group by 1,2\n),\n\nfinal as (\n\n    select \n        response.*,\n        question_option.recode_value,\n        question_option.text as question_option_text,\n        rollup_contacts.first_name,\n        rollup_contacts.last_name,\n        rollup_contacts.email_domain,\n        rollup_contacts.language as contact_language,\n        rollup_contacts.external_data_reference as contact_external_data_reference,\n        rollup_contacts.is_xm_directory_contact,\n        rollup_contacts.is_research_core_contact,\n\n        embedded_data.embedded_data,\n        survey.survey_name,\n        survey.survey_status,\n        survey.project_category,\n        survey.project_type,\n        survey.brand_base_url,\n        \n        -- most question fields are included, as there is no question end model. join with `int_qualtrics__question` to bring in more\n        question.question_description,\n        question.question_type,\n        question.block_id,\n        question.block_description,\n        question.block_question_randomization,\n        question.block_type,\n        question.block_visibility,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.is_question_deleted,\n        question.is_block_deleted\n\n    from response\n\n    left join question\n        on response.question_id = question.question_id\n        and response.survey_id = question.survey_id\n        and response.sub_question_key = question.sub_question_key\n        and response.source_relation = question.source_relation\n\n    left join question_option\n        on response.question_id = question_option.question_id \n        and response.survey_id = question_option.survey_id\n        and response.question_option_key = question_option.key\n        and response.source_relation = question_option.source_relation\n\n    left join survey\n        on response.survey_id = survey.survey_id\n        and response.source_relation = survey.source_relation\n\n    left join embedded_data\n        on response.survey_response_id = embedded_data.response_id\n        and response.source_relation = embedded_data.source_relation\n\n    left join rollup_contacts \n        on response.recipient_email = rollup_contacts.email\n        and response.source_relation = rollup_contacts.source_relation\n\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [{"id": "model.qualtrics.int_qualtrics__responses", "sql": " __dbt__cte__int_qualtrics__responses as (\nwith question_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_response`\n),\n\nsurvey_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\nresponse_join as (\n\n    select \n        question_response._fivetran_id as question_response_id,\n        question_response.response_id as survey_response_id,\n        survey_response.survey_id,\n        question_response.question_id,\n        question_response.question as question_text,\n        question_response.sub_question_key,\n        question_response.sub_question_text,\n        question_response.question_option_key,\n        question_response.value,\n        question_response.loop_id,\n        survey_response.distribution_channel,\n        survey_response.status as survey_response_status,\n        survey_response.progress as survey_progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished as is_finished_with_survey,\n        survey_response.finished_at as survey_finished_at,\n        survey_response.last_modified_at as survey_response_last_modified_at,\n        survey_response.recorded_date as survey_response_recorded_at,\n        survey_response.started_at as survey_response_started_at,\n        survey_response.recipient_email,\n        survey_response.recipient_first_name,\n        survey_response.recipient_last_name,\n        survey_response.user_language,\n        survey_response.ip_address,\n        survey_response.location_latitude,\n        survey_response.location_longitude,\n        question_response.source_relation\n    \n    from question_response \n    inner join survey_response -- every question response will belong to an overall \"survey response\"\n        on question_response.response_id = survey_response.response_id\n        and question_response.source_relation = survey_response.source_relation\n        \n)\n\nselect *\nfrom response_join\n)"}, {"id": "model.qualtrics.int_qualtrics__question", "sql": " __dbt__cte__int_qualtrics__question as (\nwith question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question`\n),\n\nblock_question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block_question`\n    where not coalesce(is_deleted, false) -- lets get rid of deleted questions\n),\n\nblock as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block`\n),\n\nsub_question as (\n    \n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__sub_question`\n),\n\nquestion_join as (\n\n    select\n        question.question_id,\n        \n\n  \n    split(\n        question.question_id,\n        '#'\n        )[safe_offset(0)]\n  \n\n as parent_question_id,\n        question.question_text,\n        question.survey_id,\n        question.question_description,\n        question.question_description_option,\n        sub_question.key as sub_question_key,\n        sub_question.text as sub_question_text,\n        question.question_type,\n        question.selector,\n        question.sub_selector,\n        question.is_data_hidden,\n        question.is_data_private,\n        question.is_deleted as is_question_deleted,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.data_export_tag,\n        sub_question.choice_data_export_tag,\n        block.block_id,\n        block.description as block_description,\n        block.randomize_questions as block_question_randomization,\n        block.type as block_type,\n        block.block_visibility,\n        block.is_locked as is_block_locked,\n        block.is_deleted as is_block_deleted,\n        question.next_answer_id,\n        question.next_choice_id,\n        question.source_relation\n\n    from question\n    left join sub_question\n        on question.question_id = sub_question.question_id \n        and question.survey_id = sub_question.survey_id\n        and question.source_relation = sub_question.source_relation\n    \n    left join block_question\n        on question.question_id = block_question.question_id\n        and question.survey_id = block_question.survey_id\n        and question.source_relation = block_question.source_relation\n\n    left join block\n        on block_question.block_id = block.block_id\n        and block_question.survey_id = block.survey_id\n        and block_question.source_relation = block.source_relation\n\n)\n\nselect *\nfrom question_join\n)"}, {"id": "model.qualtrics.int_qualtrics__survey_embedded_data", "sql": " __dbt__cte__int_qualtrics__survey_embedded_data as (\nwith survey_embedded_data as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`\n),\n\njsonify as (\n\n    select\n        response_id, -- survey_response\n        source_relation,\n        '{' || \n    string_agg(key || ':' || value, ', ')\n\n || '}' as embedded_data\n    from survey_embedded_data\n    group by 1,2\n)\n\nselect \n    response_id,\n    source_relation,\n    embedded_data\nfrom jsonify \ngroup by 1,2,3\n)"}, {"id": "model.qualtrics.int_qualtrics__contacts", "sql": " __dbt__cte__int_qualtrics__contacts as (\n\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final\n)"}], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics.qualtrics__daily_breakdown": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics", "name": "qualtrics__daily_breakdown", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__daily_breakdown.sql", "original_file_path": "models/qualtrics__daily_breakdown.sql", "unique_id": "model.qualtrics.qualtrics__daily_breakdown", "fqn": ["qualtrics", "qualtrics__daily_breakdown"], "alias": "qualtrics__daily_breakdown", "checksum": {"name": "sha256", "checksum": "7dabbfb9688b2ddc6f4bbe77881c9848a4449973c0b15e8a663ec93abbff2726"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "Daily breakdown of activities related to surveys and distribution in your Qualtrics instance.", "columns": {"source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "Day of activity in your Qualtrics instance.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_created": {"name": "count_contacts_created", "description": "New contacts created on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_unsubscribed_from_directory": {"name": "count_contacts_unsubscribed_from_directory", "description": "Count of contacts that unsubscribed from a directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_unsubscribed_from_mailing_list": {"name": "count_contacts_unsubscribed_from_mailing_list", "description": "Count of contacts that unsubscribed from a mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_sent_surveys": {"name": "count_contacts_sent_surveys", "description": "Count of unique contacts who have been sent surveys via the distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_opened_sent_surveys": {"name": "count_contacts_opened_sent_surveys", "description": "Count of contacts who opened a survey that was sent on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_started_sent_surveys": {"name": "count_contacts_started_sent_surveys", "description": "Count of contacts who started a survey that was sent on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_completed_sent_surveys": {"name": "count_contacts_completed_sent_surveys", "description": "Count of contacts who completed a survey that was sent on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_distinct_surveys_responded_to": {"name": "count_distinct_surveys_responded_to", "description": "Count of distinct survey templates (ie `survey_id`) that contacts responded to on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_survey_responses": {"name": "total_count_survey_responses", "description": "Count of distinct survey responses recorded on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_completed_survey_responses": {"name": "total_count_completed_survey_responses", "description": "Count of distinct complete survey responses recorded on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_anonymous_survey_responses": {"name": "count_anonymous_survey_responses", "description": "Number of recorded survey responses distributed anonymously.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_anonymous_completed_survey_responses": {"name": "count_anonymous_completed_survey_responses", "description": "Number of _completed_ recorded survey responses distributed anonymously.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_social_media_survey_responses": {"name": "count_social_media_survey_responses", "description": "Number of recorded survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_social_media_completed_survey_responses": {"name": "count_social_media_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_personal_link_survey_responses": {"name": "count_personal_link_survey_responses", "description": "Number of recorded survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_personal_link_completed_survey_responses": {"name": "count_personal_link_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_qr_code_survey_responses": {"name": "count_qr_code_survey_responses", "description": "Number of recorded survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_qr_code_completed_survey_responses": {"name": "count_qr_code_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_email_survey_responses": {"name": "count_email_survey_responses", "description": "Number of recorded survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_email_completed_survey_responses": {"name": "count_email_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_sms_survey_responses": {"name": "count_sms_survey_responses", "description": "Number of recorded survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_sms_completed_survey_responses": {"name": "count_sms_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_uncategorized_survey_responses": {"name": "count_uncategorized_survey_responses", "description": "Number of recorded survey responses not distributed via the default channels.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_uncategorized_completed_survey_responses": {"name": "count_uncategorized_completed_survey_responses", "description": "Number of _completed_ survey responses not distributed via the default channels.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1690564820.56242, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__daily_breakdown`", "raw_code": "with response as (\n\n    select *\n    from {{ ref('qualtrics__response') }}\n),\n\ncontact as (\n\n    select *\n    from {{ ref('qualtrics__contact') }}\n),\n\ncontact_mailing_list_membership as (\n\n    select *\n    from {{ var('contact_mailing_list_membership') }}\n),\n\ndistribution_contact as (\n\n    select *\n    from {{ var('distribution_contact') }}\n),\n\nspine as (\n\n    {% if execute %}\n    {% set first_date_query %}\n        select  min( sent_at ) as min_date from {{ var('distribution_contact') }}\n    {% endset %}\n    {% set first_date = run_query(first_date_query).columns[0][0]|string %}\n    \n    {% else %} {% set first_date = \"2016-01-01\" %}\n    {% endif %}\n\n    {{ dbt_utils.date_spine(\n        datepart = \"day\", \n        start_date =  \"cast('\" ~ first_date[0:10] ~ \"' as date)\", \n        end_date = dbt.dateadd(\"week\", 1, dbt.date_trunc('day', dbt.current_timestamp_backcompat())) \n        ) \n    }} \n),\n\nsource_relations as (\n\n    select\n        distinct source_relation \n    from distribution_contact\n),\n\nspine_cross_join as (\n\n    select \n        spine.date_day, \n        source_relations.source_relation\n    from spine \n    cross join source_relations\n),\n\nagg_responses as (\n    {# From https://qualtrics.com/support/survey-platform/distributions-module/distribution-summary/#ChannelCategorization #}\n    {% set distribution_channels = ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') %}\n\n    select \n        cast({{ dbt.date_trunc('day', 'survey_response_recorded_at') }} as date) as date_day,\n        source_relation,\n        count(distinct survey_id) as count_distinct_surveys_responded_to,\n        count(distinct survey_response_id) as total_count_survey_responses,\n        count(distinct case when is_finished_with_survey then survey_response_id end) as total_count_completed_survey_responses,\n\n        {% for distribution_channel in distribution_channels %}\n        count(distinct \n                case \n                when distribution_channel = '{{ distribution_channel }}' then survey_response_id\n                else null end) as count_{{ distribution_channel }}_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = '{{ distribution_channel }}' and is_finished_with_survey then survey_response_id\n                else null end) as count_{{ distribution_channel }}_completed_survey_responses,\n        {% endfor %}\n        count(distinct case \n                when distribution_channel not in {{ distribution_channels }} then survey_response_id\n                else null end) as count_uncategorized_survey_responses,\n        count(distinct case \n                when is_finished_with_survey and distribution_channel not in {{ distribution_channels }} then survey_response_id\n                else null end) as count_uncategorized_completed_survey_responses\n    from response \n    group by 1,2\n),\n\nagg_survey_distribution as (\n-- all metrics here relative to the day that the survey was sent\n    select \n        cast({{ dbt.date_trunc('day', 'sent_at') }} as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_sent_surveys,\n        count(distinct case when opened_at is not null then contact_id end) as count_contacts_opened_sent_surveys,\n        count(distinct case when response_started_at is not null then contact_id end) as count_contacts_started_sent_surveys,\n        count(distinct case when response_completed_at is not null then contact_id end) as count_contacts_completed_sent_surveys\n    from distribution_contact\n    group by 1,2\n),\n\nagg_created_contacts as (\n\n    select\n        cast({{ dbt.date_trunc('day', 'created_at') }} as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_created\n    from contact  \n    group by 1,2\n),\n\nagg_directory_unsubscriptions as (\n\n    select\n        cast({{ dbt.date_trunc('day', 'unsubscribed_from_directory_at') }} as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_unsubscribed_from_directory\n    from contact\n    group by 1,2\n),\n\nagg_mailing_list_unsubscriptions as (\n\n    select\n        cast({{ dbt.date_trunc('day', 'unsubscribed_at') }} as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_unsubscribed_from_mailing_list\n    from contact_mailing_list_membership\n    group by 1,2\n),\n\nfinal as (\n\n    select \n        coalesce(agg_responses.source_relation, agg_survey_distribution.source_relation, agg_created_contacts.source_relation, agg_directory_unsubscriptions.source_relation, agg_mailing_list_unsubscriptions.source_relation, spine_cross_join.source_relation) as source_relation,\n        spine_cross_join.date_day,\n        coalesce(agg_created_contacts.count_contacts_created, 0) as count_contacts_created,\n        coalesce(agg_directory_unsubscriptions.count_contacts_unsubscribed_from_directory, 0) as count_contacts_unsubscribed_from_directory,\n        coalesce(agg_mailing_list_unsubscriptions.count_contacts_unsubscribed_from_mailing_list, 0) as count_contacts_unsubscribed_from_mailing_list,\n\n        coalesce(agg_survey_distribution.count_contacts_sent_surveys, 0) as count_contacts_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_opened_sent_surveys, 0) as count_contacts_opened_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_started_sent_surveys, 0) as count_contacts_started_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_completed_sent_surveys, 0) as count_contacts_completed_sent_surveys,\n\n        coalesce(agg_responses.count_distinct_surveys_responded_to, 0) as count_distinct_surveys_responded_to,\n        coalesce(agg_responses.total_count_survey_responses, 0) as total_count_survey_responses,\n        coalesce(agg_responses.total_count_completed_survey_responses, 0) as total_count_completed_survey_responses,\n\n        -- distribution channels\n        coalesce(agg_responses.count_anonymous_survey_responses, 0) as count_anonymous_survey_responses,\n        coalesce(agg_responses.count_anonymous_completed_survey_responses, 0) as count_anonymous_completed_survey_responses,\n        coalesce(agg_responses.count_social_survey_responses, 0) as count_social_media_survey_responses,\n        coalesce(agg_responses.count_social_completed_survey_responses, 0) as count_social_media_completed_survey_responses,\n        coalesce(agg_responses.count_gl_survey_responses, 0) as count_personal_link_survey_responses,\n        coalesce(agg_responses.count_gl_completed_survey_responses, 0) as count_personal_link_completed_survey_responses,\n        coalesce(agg_responses.count_qr_survey_responses, 0) as count_qr_code_survey_responses,\n        coalesce(agg_responses.count_qr_completed_survey_responses, 0) as count_qr_code_completed_survey_responses,\n        coalesce(agg_responses.count_email_survey_responses, 0) as count_email_survey_responses,\n        coalesce(agg_responses.count_email_completed_survey_responses, 0) as count_email_completed_survey_responses,\n        coalesce(agg_responses.count_smsinvite_survey_responses, 0) as count_sms_survey_responses,\n        coalesce(agg_responses.count_smsinvite_completed_survey_responses, 0) as count_sms_completed_survey_responses,\n        coalesce(agg_responses.count_uncategorized_survey_responses, 0) as count_uncategorized_survey_responses,\n        coalesce(agg_responses.count_uncategorized_completed_survey_responses, 0) as count_uncategorized_completed_survey_responses\n\n    from spine_cross_join\n    left join agg_responses\n        on spine_cross_join.date_day = agg_responses.date_day\n            and spine_cross_join.source_relation = agg_responses.source_relation\n    left join agg_survey_distribution\n        on spine_cross_join.date_day = agg_survey_distribution.date_day\n            and spine_cross_join.source_relation = agg_survey_distribution.source_relation\n    left join agg_created_contacts\n        on spine_cross_join.date_day = agg_created_contacts.date_day\n            and spine_cross_join.source_relation = agg_created_contacts.source_relation\n    left join agg_directory_unsubscriptions\n        on spine_cross_join.date_day = agg_directory_unsubscriptions.date_day\n            and spine_cross_join.source_relation = agg_directory_unsubscriptions.source_relation\n    left join agg_mailing_list_unsubscriptions\n        on spine_cross_join.date_day = agg_mailing_list_unsubscriptions.date_day\n            and spine_cross_join.source_relation = agg_mailing_list_unsubscriptions.source_relation\n    \n)\n\nselect * \nfrom final", "language": "sql", "refs": [{"name": "qualtrics__response", "package": null, "version": null}, {"name": "qualtrics__contact", "package": null, "version": null}, {"name": "stg_qualtrics__contact_mailing_list_membership", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.current_timestamp_backcompat", "macro.dbt.date_trunc", "macro.dbt.dateadd", "macro.dbt_utils.date_spine", "macro.dbt.run_query"], "nodes": ["model.qualtrics.qualtrics__response", "model.qualtrics.qualtrics__contact", "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership", "model.qualtrics_source.stg_qualtrics__distribution_contact"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__daily_breakdown.sql", "compiled": true, "compiled_code": "with response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__response`\n),\n\ncontact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\ndistribution_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\nspine as (\n\n    \n    \n    \n    \n    \n\n    \n\n\n\n\n\nwith rawdata as (\n\n    \n\n    \n\n    with p as (\n        select 0 as generated_number union all select 1\n    ), unioned as (\n\n    select\n\n    \n    p0.generated_number * power(2, 0)\n     + \n    \n    p1.generated_number * power(2, 1)\n     + \n    \n    p2.generated_number * power(2, 2)\n     + \n    \n    p3.generated_number * power(2, 3)\n     + \n    \n    p4.generated_number * power(2, 4)\n     + \n    \n    p5.generated_number * power(2, 5)\n     + \n    \n    p6.generated_number * power(2, 6)\n     + \n    \n    p7.generated_number * power(2, 7)\n     + \n    \n    p8.generated_number * power(2, 8)\n    \n    \n    + 1\n    as generated_number\n\n    from\n\n    \n    p as p0\n     cross join \n    \n    p as p1\n     cross join \n    \n    p as p2\n     cross join \n    \n    p as p3\n     cross join \n    \n    p as p4\n     cross join \n    \n    p as p5\n     cross join \n    \n    p as p6\n     cross join \n    \n    p as p7\n     cross join \n    \n    p as p8\n    \n    \n\n    )\n\n    select *\n    from unioned\n    where generated_number <= 485\n    order by generated_number\n\n\n\n),\n\nall_periods as (\n\n    select (\n        \n\n        datetime_add(\n            cast( cast('2022-04-06' as date) as datetime),\n        interval row_number() over (order by 1) - 1 day\n        )\n\n\n    ) as date_day\n    from rawdata\n\n),\n\nfiltered as (\n\n    select *\n    from all_periods\n    where date_day <= \n\n        datetime_add(\n            cast( timestamp_trunc(\n        cast(current_timestamp as timestamp),\n        day\n    ) as datetime),\n        interval 1 week\n        )\n\n\n\n)\n\nselect * from filtered\n\n \n),\n\nsource_relations as (\n\n    select\n        distinct source_relation \n    from distribution_contact\n),\n\nspine_cross_join as (\n\n    select \n        spine.date_day, \n        source_relations.source_relation\n    from spine \n    cross join source_relations\n),\n\nagg_responses as (\n    \n    \n\n    select \n        cast(timestamp_trunc(\n        cast(survey_response_recorded_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct survey_id) as count_distinct_surveys_responded_to,\n        count(distinct survey_response_id) as total_count_survey_responses,\n        count(distinct case when is_finished_with_survey then survey_response_id end) as total_count_completed_survey_responses,\n\n        \n        count(distinct \n                case \n                when distribution_channel = 'anonymous' then survey_response_id\n                else null end) as count_anonymous_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'anonymous' and is_finished_with_survey then survey_response_id\n                else null end) as count_anonymous_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'social' then survey_response_id\n                else null end) as count_social_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'social' and is_finished_with_survey then survey_response_id\n                else null end) as count_social_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'gl' then survey_response_id\n                else null end) as count_gl_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'gl' and is_finished_with_survey then survey_response_id\n                else null end) as count_gl_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'qr' then survey_response_id\n                else null end) as count_qr_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'qr' and is_finished_with_survey then survey_response_id\n                else null end) as count_qr_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'email' then survey_response_id\n                else null end) as count_email_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'email' and is_finished_with_survey then survey_response_id\n                else null end) as count_email_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' then survey_response_id\n                else null end) as count_smsinvite_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' and is_finished_with_survey then survey_response_id\n                else null end) as count_smsinvite_completed_survey_responses,\n        \n        count(distinct case \n                when distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then survey_response_id\n                else null end) as count_uncategorized_survey_responses,\n        count(distinct case \n                when is_finished_with_survey and distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then survey_response_id\n                else null end) as count_uncategorized_completed_survey_responses\n    from response \n    group by 1,2\n),\n\nagg_survey_distribution as (\n-- all metrics here relative to the day that the survey was sent\n    select \n        cast(timestamp_trunc(\n        cast(sent_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_sent_surveys,\n        count(distinct case when opened_at is not null then contact_id end) as count_contacts_opened_sent_surveys,\n        count(distinct case when response_started_at is not null then contact_id end) as count_contacts_started_sent_surveys,\n        count(distinct case when response_completed_at is not null then contact_id end) as count_contacts_completed_sent_surveys\n    from distribution_contact\n    group by 1,2\n),\n\nagg_created_contacts as (\n\n    select\n        cast(timestamp_trunc(\n        cast(created_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_created\n    from contact  \n    group by 1,2\n),\n\nagg_directory_unsubscriptions as (\n\n    select\n        cast(timestamp_trunc(\n        cast(unsubscribed_from_directory_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_unsubscribed_from_directory\n    from contact\n    group by 1,2\n),\n\nagg_mailing_list_unsubscriptions as (\n\n    select\n        cast(timestamp_trunc(\n        cast(unsubscribed_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_unsubscribed_from_mailing_list\n    from contact_mailing_list_membership\n    group by 1,2\n),\n\nfinal as (\n\n    select \n        coalesce(agg_responses.source_relation, agg_survey_distribution.source_relation, agg_created_contacts.source_relation, agg_directory_unsubscriptions.source_relation, agg_mailing_list_unsubscriptions.source_relation, spine_cross_join.source_relation) as source_relation,\n        spine_cross_join.date_day,\n        coalesce(agg_created_contacts.count_contacts_created, 0) as count_contacts_created,\n        coalesce(agg_directory_unsubscriptions.count_contacts_unsubscribed_from_directory, 0) as count_contacts_unsubscribed_from_directory,\n        coalesce(agg_mailing_list_unsubscriptions.count_contacts_unsubscribed_from_mailing_list, 0) as count_contacts_unsubscribed_from_mailing_list,\n\n        coalesce(agg_survey_distribution.count_contacts_sent_surveys, 0) as count_contacts_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_opened_sent_surveys, 0) as count_contacts_opened_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_started_sent_surveys, 0) as count_contacts_started_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_completed_sent_surveys, 0) as count_contacts_completed_sent_surveys,\n\n        coalesce(agg_responses.count_distinct_surveys_responded_to, 0) as count_distinct_surveys_responded_to,\n        coalesce(agg_responses.total_count_survey_responses, 0) as total_count_survey_responses,\n        coalesce(agg_responses.total_count_completed_survey_responses, 0) as total_count_completed_survey_responses,\n\n        -- distribution channels\n        coalesce(agg_responses.count_anonymous_survey_responses, 0) as count_anonymous_survey_responses,\n        coalesce(agg_responses.count_anonymous_completed_survey_responses, 0) as count_anonymous_completed_survey_responses,\n        coalesce(agg_responses.count_social_survey_responses, 0) as count_social_media_survey_responses,\n        coalesce(agg_responses.count_social_completed_survey_responses, 0) as count_social_media_completed_survey_responses,\n        coalesce(agg_responses.count_gl_survey_responses, 0) as count_personal_link_survey_responses,\n        coalesce(agg_responses.count_gl_completed_survey_responses, 0) as count_personal_link_completed_survey_responses,\n        coalesce(agg_responses.count_qr_survey_responses, 0) as count_qr_code_survey_responses,\n        coalesce(agg_responses.count_qr_completed_survey_responses, 0) as count_qr_code_completed_survey_responses,\n        coalesce(agg_responses.count_email_survey_responses, 0) as count_email_survey_responses,\n        coalesce(agg_responses.count_email_completed_survey_responses, 0) as count_email_completed_survey_responses,\n        coalesce(agg_responses.count_smsinvite_survey_responses, 0) as count_sms_survey_responses,\n        coalesce(agg_responses.count_smsinvite_completed_survey_responses, 0) as count_sms_completed_survey_responses,\n        coalesce(agg_responses.count_uncategorized_survey_responses, 0) as count_uncategorized_survey_responses,\n        coalesce(agg_responses.count_uncategorized_completed_survey_responses, 0) as count_uncategorized_completed_survey_responses\n\n    from spine_cross_join\n    left join agg_responses\n        on spine_cross_join.date_day = agg_responses.date_day\n            and spine_cross_join.source_relation = agg_responses.source_relation\n    left join agg_survey_distribution\n        on spine_cross_join.date_day = agg_survey_distribution.date_day\n            and spine_cross_join.source_relation = agg_survey_distribution.source_relation\n    left join agg_created_contacts\n        on spine_cross_join.date_day = agg_created_contacts.date_day\n            and spine_cross_join.source_relation = agg_created_contacts.source_relation\n    left join agg_directory_unsubscriptions\n        on spine_cross_join.date_day = agg_directory_unsubscriptions.date_day\n            and spine_cross_join.source_relation = agg_directory_unsubscriptions.source_relation\n    left join agg_mailing_list_unsubscriptions\n        on spine_cross_join.date_day = agg_mailing_list_unsubscriptions.date_day\n            and spine_cross_join.source_relation = agg_mailing_list_unsubscriptions.source_relation\n    \n)\n\nselect * \nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics.qualtrics__survey": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics", "name": "qualtrics__survey", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__survey.sql", "original_file_path": "models/qualtrics__survey.sql", "unique_id": "model.qualtrics.qualtrics__survey", "fqn": ["qualtrics", "qualtrics__survey"], "alias": "qualtrics__survey", "checksum": {"name": "sha256", "checksum": "0c68ca85123f7718e4d7a0c0a25fd9b65a6b7cd0b41f08976c68d90725cab14a"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "Detailed view of all surveys created, enhanced with distribution and response metrics.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_scoring_category": {"name": "auto_scoring_category", "description": "The automated scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_base_url": {"name": "brand_base_url", "description": "Base url for the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_id": {"name": "brand_id", "description": "Unique ID of the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "bundle_short_name": {"name": "bundle_short_name", "description": "Short name for the content bundle that the survey is from.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "composition_type": {"name": "composition_type", "description": "Survey composition type.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creator_user_id": {"name": "creator_user_id", "description": "The unique identifier for a specific `USER` who created the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "default_scoring_category": {"name": "default_scoring_category", "description": "The default scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "division_id": {"name": "division_id", "description": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_accessed_at": {"name": "last_accessed_at", "description": "The date the survey was last accessed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_activated_at": {"name": "last_activated_at", "description": "The date the survey was last activated.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_category": {"name": "project_category", "description": "Project category of the survey.\n\nAllowed values - `CORE`, `CX`, `EX`, `BX`, `PX`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_type": {"name": "project_type", "description": "Type of [Qualtrics project](https://www.qualtrics.com/support/survey-platform/my-projects/my-projects-overview/#SelectingProjectType). Match pattern = ^[a-zA-Z]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_sha": {"name": "registry_sha", "description": "The survey registry SHA.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_version": {"name": "registry_version", "description": "The survey registry version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "schema_version": {"name": "schema_version", "description": "Qualtrics schema version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_questions": {"name": "scoring_summary_after_questions", "description": "Boolean representing whether the scoring summary is after questions.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_survey": {"name": "scoring_summary_after_survey", "description": "Boolean representing whether the scoring summary is after the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_category": {"name": "scoring_summary_category", "description": "The unique identifier for the scoring.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_name": {"name": "survey_name", "description": "Name of the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_status": {"name": "survey_status", "description": "The distribution status of the survey, or a flag indicating that it's a library block\n\nAllowed values - `Inactive`, `Active`, `Pending`, `LibBlock`, `Deactive`, `Temporary`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_id": {"name": "version_id", "description": "The unique identifier for this survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_number": {"name": "version_number", "description": "The version number of this survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_description": {"name": "version_description", "description": "A user-provided description of the survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_version_created_at": {"name": "survey_version_created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_published_versions": {"name": "count_published_versions", "description": "Number of versions that have been published for this survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "publisher_user_id": {"name": "publisher_user_id", "description": "ID of `USER` who published this survey version in your org.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "publisher_email": {"name": "publisher_email", "description": "Email of the `USER` who published the latest survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creator_email": {"name": "creator_email", "description": "Email of the `USER` who created the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_email": {"name": "owner_email", "description": "Email of the `USER` who owns the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_questions": {"name": "count_questions", "description": "Total number of questions (does not include deleted ones) in the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_response_duration_in_seconds": {"name": "avg_response_duration_in_seconds", "description": "On average, how long it took a respondent to finish a survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_survey_progress_pct": {"name": "avg_survey_progress_pct", "description": "On average, how far a respondent has progressed through a survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_response_duration_in_seconds": {"name": "median_response_duration_in_seconds", "description": "The median of how long it took a respondent to finish a survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_survey_progress_pct": {"name": "median_survey_progress_pct", "description": "The median of how far a respondent has progressed through a survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_survey_responses": {"name": "count_survey_responses", "description": "Total number of survey responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_completed_survey_responses": {"name": "count_completed_survey_responses", "description": "Total number of _completed_ survey responses (ie `is_finished=true`).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_survey_responses_30d": {"name": "count_survey_responses_30d", "description": "Number of survey responses recorded in the past 30 days.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_completed_survey_responses_30d": {"name": "count_completed_survey_responses_30d", "description": "Number of _completed_ survey responses recorded in the past 30 days.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_anonymous_survey_responses": {"name": "count_anonymous_survey_responses", "description": "Number of recorded survey responses distributed anonymously.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_anonymous_completed_survey_responses": {"name": "count_anonymous_completed_survey_responses", "description": "Number of _completed_ recorded survey responses distributed anonymously.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_social_media_survey_responses": {"name": "count_social_media_survey_responses", "description": "Number of recorded survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_social_media_completed_survey_responses": {"name": "count_social_media_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_personal_link_survey_responses": {"name": "count_personal_link_survey_responses", "description": "Number of recorded survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_personal_link_completed_survey_responses": {"name": "count_personal_link_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_qr_code_survey_responses": {"name": "count_qr_code_survey_responses", "description": "Number of recorded survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_qr_code_completed_survey_responses": {"name": "count_qr_code_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_email_survey_responses": {"name": "count_email_survey_responses", "description": "Number of recorded survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_email_completed_survey_responses": {"name": "count_email_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_sms_survey_responses": {"name": "count_sms_survey_responses", "description": "Number of recorded survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_sms_completed_survey_responses": {"name": "count_sms_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_uncategorized_survey_responses": {"name": "count_uncategorized_survey_responses", "description": "Number of recorded survey responses not distributed via the default channels.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_uncategorized_completed_survey_responses": {"name": "count_uncategorized_completed_survey_responses", "description": "Number of _completed_ survey responses not distributed via the default channels.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1690564820.537513, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__survey`", "raw_code": "with survey as (\n-- contains survey version + associated internal-user data\n    select *\n    from {{ ref('int_qualtrics__survey') }}\n),\n\nresponses as (\n\n    select *\n    from {{ var('survey_response') }}\n),\n\nquestion as (\n\n    select *\n    from {{ var('question') }}\n),\n\nagg_questions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct question_id) as count_questions\n    from question \n    where not coalesce(is_deleted, false)\n    group by 1,2\n),\n\nagg_responses as (\n\n    {# From https://qualtrics.com/support/survey-platform/distributions-module/distribution-summary/#ChannelCategorization #}\n    {% set distribution_channels = ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') %}\n\n    select\n        survey_id,\n        source_relation,\n        avg(duration_in_seconds) as avg_response_duration_in_seconds,\n        avg(progress) as avg_survey_progress_pct,\n        count(distinct response_id) as count_survey_responses,\n        count(distinct case when is_finished then response_id else null end) as count_completed_survey_responses,\n        count(distinct \n                case \n                when {{ fivetran_utils.timestamp_diff(first_date=\"recorded_date\", second_date=dbt.current_timestamp(), datepart=\"day\") }} <= 30 then response_id\n                else null end) as count_survey_responses_30d,\n        count(distinct \n                case \n                when is_finished and {{ fivetran_utils.timestamp_diff(first_date=\"recorded_date\", second_date=dbt.current_timestamp(), datepart=\"day\") }} <= 30 then response_id\n                else null end) as count_completed_survey_responses_30d,\n        \n        -- pivot out distribution channel responses\n        {% for distribution_channel in distribution_channels %}\n        count(distinct \n                case \n                when distribution_channel = '{{ distribution_channel }}' then response_id\n                else null end) as count_{{ distribution_channel }}_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = '{{ distribution_channel }}' and is_finished then response_id\n                else null end) as count_{{ distribution_channel }}_completed_survey_responses,\n        {% endfor %}\n\n        count(distinct case \n                when distribution_channel not in {{ distribution_channels }} then response_id\n                else null end) as count_uncategorized_survey_responses,\n        count(distinct case \n                when is_finished and distribution_channel not in {{ distribution_channels }} then response_id\n                else null end) as count_uncategorized_completed_survey_responses\n\n    from responses \n    group by 1,2\n),\n\ncalc_medians as (\n\n    select \n        survey_id,\n        source_relation,\n        median_response_duration_in_seconds,\n        median_survey_progress_pct\n        \n    from (\n        select \n            survey_id, \n            source_relation,\n            {{ fivetran_utils.percentile(percentile_field='duration_in_seconds', partition_field='survey_id,source_relation', percent='0.5') }} as median_response_duration_in_seconds,\n            {{ fivetran_utils.percentile(percentile_field='progress', partition_field='survey_id,source_relation', percent='0.5') }} as median_survey_progress_pct\n\n        from responses\n        {% if target.type == 'postgres' %} group by 1,2 {% endif %} -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n    {% if target.type != 'postgres' %} group by 1,2,3,4 {% endif %} -- roll up if using window function\n),\n\nsurvey_join as (\n\n    select\n        survey.*,\n        coalesce(agg_questions.count_questions, 0) as count_questions,\n\n        agg_responses.avg_response_duration_in_seconds,\n        calc_medians.median_response_duration_in_seconds,\n        agg_responses.avg_survey_progress_pct,\n        calc_medians.median_survey_progress_pct,\n        coalesce(agg_responses.count_survey_responses, 0) as count_survey_responses,\n        coalesce(agg_responses.count_completed_survey_responses, 0) as count_completed_survey_responses,\n        coalesce(agg_responses.count_survey_responses_30d, 0) as count_survey_responses_30d,\n        coalesce(agg_responses.count_completed_survey_responses_30d, 0) as count_completed_survey_responses_30d,\n\n        -- distribution channels\n        coalesce(agg_responses.count_anonymous_survey_responses, 0) as count_anonymous_survey_responses,\n        coalesce(agg_responses.count_anonymous_completed_survey_responses, 0) as count_anonymous_completed_survey_responses,\n        coalesce(agg_responses.count_social_survey_responses, 0) as count_social_media_survey_responses,\n        coalesce(agg_responses.count_social_completed_survey_responses, 0) as count_social_media_completed_survey_responses,\n        coalesce(agg_responses.count_gl_survey_responses, 0) as count_personal_link_survey_responses,\n        coalesce(agg_responses.count_gl_completed_survey_responses, 0) as count_personal_link_completed_survey_responses,\n        coalesce(agg_responses.count_qr_survey_responses, 0) as count_qr_code_survey_responses,\n        coalesce(agg_responses.count_qr_completed_survey_responses, 0) as count_qr_code_completed_survey_responses,\n        coalesce(agg_responses.count_email_survey_responses, 0) as count_email_survey_responses,\n        coalesce(agg_responses.count_email_completed_survey_responses, 0) as count_email_completed_survey_responses,\n        coalesce(agg_responses.count_smsinvite_survey_responses, 0) as count_sms_survey_responses,\n        coalesce(agg_responses.count_smsinvite_completed_survey_responses, 0) as count_sms_completed_survey_responses,\n        coalesce(agg_responses.count_uncategorized_survey_responses, 0) as count_uncategorized_survey_responses,\n        coalesce(agg_responses.count_uncategorized_completed_survey_responses, 0) as count_uncategorized_completed_survey_responses\n\n    from survey \n    left join agg_questions\n        on survey.survey_id = agg_questions.survey_id\n        and survey.source_relation = agg_questions.source_relation\n    left join agg_responses\n        on survey.survey_id = agg_responses.survey_id\n        and survey.source_relation = agg_responses.source_relation\n    left join calc_medians \n        on survey.survey_id = calc_medians.survey_id\n        and survey.source_relation = calc_medians.source_relation\n)\n\nselect *\nfrom survey_join", "language": "sql", "refs": [{"name": "int_qualtrics__survey", "package": null, "version": null}, {"name": "stg_qualtrics__survey_response", "package": null, "version": null}, {"name": "stg_qualtrics__question", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.current_timestamp", "macro.fivetran_utils.timestamp_diff", "macro.fivetran_utils.percentile"], "nodes": ["model.qualtrics.int_qualtrics__survey", "model.qualtrics_source.stg_qualtrics__survey_response", "model.qualtrics_source.stg_qualtrics__question"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__survey.sql", "compiled": true, "compiled_code": "with  __dbt__cte__int_qualtrics__survey as (\nwith survey as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey`\n),\n\nqualtrics_user as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__user`\n),\n\nsurvey_version as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_version`\n),\n\nlatest_version as (\n\n    select *\n    from survey_version \n    where is_published\n),\n\nagg_versions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct version_number) as count_published_versions\n    from survey_version\n    where was_published and not is_deleted\n    group by 1,2\n),\n\nsurvey_join as (\n\n    select\n\n        survey.*,\n        latest_version.version_id,\n        latest_version.version_number,\n        latest_version.version_description,\n        latest_version.created_at as survey_version_created_at,\n        agg_versions.count_published_versions,\n        latest_version.publisher_user_id,\n        version_publisher.email as publisher_email, \n        creator.email as creator_email,\n        owner.email as owner_email\n\n    from survey\n    left join latest_version\n        on survey.survey_id = latest_version.survey_id\n        and survey.source_relation = latest_version.source_relation\n    left join qualtrics_user as version_publisher\n        on latest_version.publisher_user_id = version_publisher.user_id\n        and latest_version.source_relation = version_publisher.source_relation\n    left join qualtrics_user as owner\n        on survey.owner_user_id = owner.user_id\n        and survey.source_relation = owner.source_relation\n    left join qualtrics_user as creator\n        on survey.creator_user_id = creator.user_id\n        and survey.source_relation = creator.source_relation\n    left join agg_versions \n        on survey.survey_id = agg_versions.survey_id\n        and survey.source_relation = agg_versions.source_relation\n)\n\nselect *\nfrom survey_join\n),survey as (\n-- contains survey version + associated internal-user data\n    select *\n    from __dbt__cte__int_qualtrics__survey\n),\n\nresponses as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\nquestion as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question`\n),\n\nagg_questions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct question_id) as count_questions\n    from question \n    where not coalesce(is_deleted, false)\n    group by 1,2\n),\n\nagg_responses as (\n\n    \n    \n\n    select\n        survey_id,\n        source_relation,\n        avg(duration_in_seconds) as avg_response_duration_in_seconds,\n        avg(progress) as avg_survey_progress_pct,\n        count(distinct response_id) as count_survey_responses,\n        count(distinct case when is_finished then response_id else null end) as count_completed_survey_responses,\n        count(distinct \n                case \n                when \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        recorded_date,\n        day\n    )\n\n\n <= 30 then response_id\n                else null end) as count_survey_responses_30d,\n        count(distinct \n                case \n                when is_finished and \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        recorded_date,\n        day\n    )\n\n\n <= 30 then response_id\n                else null end) as count_completed_survey_responses_30d,\n        \n        -- pivot out distribution channel responses\n        \n        count(distinct \n                case \n                when distribution_channel = 'anonymous' then response_id\n                else null end) as count_anonymous_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'anonymous' and is_finished then response_id\n                else null end) as count_anonymous_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'social' then response_id\n                else null end) as count_social_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'social' and is_finished then response_id\n                else null end) as count_social_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'gl' then response_id\n                else null end) as count_gl_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'gl' and is_finished then response_id\n                else null end) as count_gl_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'qr' then response_id\n                else null end) as count_qr_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'qr' and is_finished then response_id\n                else null end) as count_qr_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'email' then response_id\n                else null end) as count_email_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'email' and is_finished then response_id\n                else null end) as count_email_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' then response_id\n                else null end) as count_smsinvite_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' and is_finished then response_id\n                else null end) as count_smsinvite_completed_survey_responses,\n        \n\n        count(distinct case \n                when distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then response_id\n                else null end) as count_uncategorized_survey_responses,\n        count(distinct case \n                when is_finished and distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then response_id\n                else null end) as count_uncategorized_completed_survey_responses\n\n    from responses \n    group by 1,2\n),\n\ncalc_medians as (\n\n    select \n        survey_id,\n        source_relation,\n        median_response_duration_in_seconds,\n        median_survey_progress_pct\n        \n    from (\n        select \n            survey_id, \n            source_relation,\n            \n\n    percentile_cont( \n        duration_in_seconds, \n        0.5) \n        over (partition by survey_id,source_relation    \n        )\n\n as median_response_duration_in_seconds,\n            \n\n    percentile_cont( \n        progress, \n        0.5) \n        over (partition by survey_id,source_relation    \n        )\n\n as median_survey_progress_pct\n\n        from responses\n         -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n     group by 1,2,3,4  -- roll up if using window function\n),\n\nsurvey_join as (\n\n    select\n        survey.*,\n        coalesce(agg_questions.count_questions, 0) as count_questions,\n\n        agg_responses.avg_response_duration_in_seconds,\n        calc_medians.median_response_duration_in_seconds,\n        agg_responses.avg_survey_progress_pct,\n        calc_medians.median_survey_progress_pct,\n        coalesce(agg_responses.count_survey_responses, 0) as count_survey_responses,\n        coalesce(agg_responses.count_completed_survey_responses, 0) as count_completed_survey_responses,\n        coalesce(agg_responses.count_survey_responses_30d, 0) as count_survey_responses_30d,\n        coalesce(agg_responses.count_completed_survey_responses_30d, 0) as count_completed_survey_responses_30d,\n\n        -- distribution channels\n        coalesce(agg_responses.count_anonymous_survey_responses, 0) as count_anonymous_survey_responses,\n        coalesce(agg_responses.count_anonymous_completed_survey_responses, 0) as count_anonymous_completed_survey_responses,\n        coalesce(agg_responses.count_social_survey_responses, 0) as count_social_media_survey_responses,\n        coalesce(agg_responses.count_social_completed_survey_responses, 0) as count_social_media_completed_survey_responses,\n        coalesce(agg_responses.count_gl_survey_responses, 0) as count_personal_link_survey_responses,\n        coalesce(agg_responses.count_gl_completed_survey_responses, 0) as count_personal_link_completed_survey_responses,\n        coalesce(agg_responses.count_qr_survey_responses, 0) as count_qr_code_survey_responses,\n        coalesce(agg_responses.count_qr_completed_survey_responses, 0) as count_qr_code_completed_survey_responses,\n        coalesce(agg_responses.count_email_survey_responses, 0) as count_email_survey_responses,\n        coalesce(agg_responses.count_email_completed_survey_responses, 0) as count_email_completed_survey_responses,\n        coalesce(agg_responses.count_smsinvite_survey_responses, 0) as count_sms_survey_responses,\n        coalesce(agg_responses.count_smsinvite_completed_survey_responses, 0) as count_sms_completed_survey_responses,\n        coalesce(agg_responses.count_uncategorized_survey_responses, 0) as count_uncategorized_survey_responses,\n        coalesce(agg_responses.count_uncategorized_completed_survey_responses, 0) as count_uncategorized_completed_survey_responses\n\n    from survey \n    left join agg_questions\n        on survey.survey_id = agg_questions.survey_id\n        and survey.source_relation = agg_questions.source_relation\n    left join agg_responses\n        on survey.survey_id = agg_responses.survey_id\n        and survey.source_relation = agg_responses.source_relation\n    left join calc_medians \n        on survey.survey_id = calc_medians.survey_id\n        and survey.source_relation = calc_medians.source_relation\n)\n\nselect *\nfrom survey_join", "extra_ctes_injected": true, "extra_ctes": [{"id": "model.qualtrics.int_qualtrics__survey", "sql": " __dbt__cte__int_qualtrics__survey as (\nwith survey as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey`\n),\n\nqualtrics_user as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__user`\n),\n\nsurvey_version as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_version`\n),\n\nlatest_version as (\n\n    select *\n    from survey_version \n    where is_published\n),\n\nagg_versions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct version_number) as count_published_versions\n    from survey_version\n    where was_published and not is_deleted\n    group by 1,2\n),\n\nsurvey_join as (\n\n    select\n\n        survey.*,\n        latest_version.version_id,\n        latest_version.version_number,\n        latest_version.version_description,\n        latest_version.created_at as survey_version_created_at,\n        agg_versions.count_published_versions,\n        latest_version.publisher_user_id,\n        version_publisher.email as publisher_email, \n        creator.email as creator_email,\n        owner.email as owner_email\n\n    from survey\n    left join latest_version\n        on survey.survey_id = latest_version.survey_id\n        and survey.source_relation = latest_version.source_relation\n    left join qualtrics_user as version_publisher\n        on latest_version.publisher_user_id = version_publisher.user_id\n        and latest_version.source_relation = version_publisher.source_relation\n    left join qualtrics_user as owner\n        on survey.owner_user_id = owner.user_id\n        and survey.source_relation = owner.source_relation\n    left join qualtrics_user as creator\n        on survey.creator_user_id = creator.user_id\n        and survey.source_relation = creator.source_relation\n    left join agg_versions \n        on survey.survey_id = agg_versions.survey_id\n        and survey.source_relation = agg_versions.source_relation\n)\n\nselect *\nfrom survey_join\n)"}], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics.qualtrics__contact": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics", "name": "qualtrics__contact", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__contact.sql", "original_file_path": "models/qualtrics__contact.sql", "unique_id": "model.qualtrics.qualtrics__contact", "fqn": ["qualtrics", "qualtrics__contact"], "alias": "qualtrics__contact", "checksum": {"name": "sha256", "checksum": "d733f2c2c2b3f524df72a5d1e0eb7e8cbe8b20d1d3f971c67bb46dd4498e00a3"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "Detailed view of all contacts (from both the XM Directory and Research Core contact endpoints), ehanced with response and mailing list metrics.", "columns": {"contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_xm_directory_contact": {"name": "is_xm_directory_contact", "description": "Boolean representing whether the contact came from the XM Directory API endpoint (ie stored in the `directory_contact` table).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_research_core_contact": {"name": "is_research_core_contact", "description": "Boolean representing whether the contact came from the (to-be-deprecated) Research Core API endpoint (ie stored in the `core_contact` table).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "The user's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email_domain": {"name": "email_domain", "description": "Domain of the contact's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "external_data_reference": {"name": "external_data_reference", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_unsubscribed_from_directory": {"name": "is_unsubscribed_from_directory", "description": "Boolean indicating whether the contact unsubscribed from all contact from the Directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed_from_directory_at": {"name": "unsubscribed_from_directory_at", "description": "Date and time the user opted out of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_ids": {"name": "mailing_list_ids", "description": "Comma-separated list of mailing list IDs the record is associated with.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_mailing_lists_subscribed_to": {"name": "count_mailing_lists_subscribed_to", "description": "Count of distinct mailing lists the contact is a member of and has not opted out of.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_mailing_lists_unsubscribed_from": {"name": "count_mailing_lists_unsubscribed_from", "description": "Count of distinct mailing lists that the contact has opted out of receiving emails through.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_sent_email": {"name": "count_surveys_sent_email", "description": "Distinct surveys sent to the contact via email invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_sent_sms": {"name": "count_surveys_sent_sms", "description": "Distinct surveys sent to the contact via SMS invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_opened_email": {"name": "count_surveys_opened_email", "description": "Distinct surveys opened by the contact via email invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_opened_sms": {"name": "count_surveys_opened_sms", "description": "Distinct surveys opened by the contact via SMS invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_started_email": {"name": "count_surveys_started_email", "description": "Distinct surveys started by the contact via email invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_started_sms": {"name": "count_surveys_started_sms", "description": "Distinct surveys started by the contact via SMS invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_completed_email": {"name": "count_surveys_completed_email", "description": "Distinct surveys completed by the contact via email invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_completed_sms": {"name": "count_surveys_completed_sms", "description": "Distinct surveys completed by the contact via SMS invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_surveys": {"name": "total_count_surveys", "description": "Total distinct surveys distributed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_completed_surveys": {"name": "total_count_completed_surveys", "description": "Total distinct surveys completed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_survey_progress_pct": {"name": "avg_survey_progress_pct", "description": "On average, how far a respondent has progressed through a survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_survey_duration_in_seconds": {"name": "avg_survey_duration_in_seconds", "description": "On average, how long it took a respondent to finish a survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_survey_progress_pct": {"name": "median_survey_progress_pct", "description": "The median of how far a respondent has progressed through a survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_survey_duration_in_seconds": {"name": "median_survey_duration_in_seconds", "description": "The median of how long it took a respondent to finish a survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_survey_response_recorded_at": {"name": "last_survey_response_recorded_at", "description": "The most recent point in time when a survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_survey_response_recorded_at": {"name": "first_survey_response_recorded_at", "description": "The earliest point in time when a survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_name": {"name": "directory_name", "description": "Name of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_in_default_directory": {"name": "is_in_default_directory", "description": "Boolean representing if this directory is the default one for your brand. \n\nThe default directory will be the first directory listed in the dropdown menu in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_directory_deleted": {"name": "is_directory_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1690564820.543979, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__contact`", "raw_code": "with contacts as (\n\n    select *\n    from {{ ref('int_qualtrics__contacts') }}\n),\n\ndirectory as (\n\n    select *\n    from {{ var('directory') }}\n),\n\ndistribution_contact as (\n\n    select *\n    from {{ var('distribution_contact') }}\n),\n\ndistribution as (\n-- just to grab survey id \n    select *\n    from {{ var('distribution') }}\n),\n\nsurvey_response as (\n\n    select *\n    from {{ var('survey_response') }}\n),\n\ndistribution_response as (\n\n    select\n        distribution_contact.*,\n        distribution.survey_id,\n        survey_response.distribution_channel,\n        survey_response.progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished,\n        survey_response.recorded_date\n\n    from distribution_contact \n    left join distribution\n        on distribution_contact.distribution_id = distribution.distribution_id\n        and distribution_contact.source_relation = distribution.source_relation\n    left join survey_response\n        on distribution_contact.response_id = survey_response.response_id\n        and distribution.survey_id = survey_response.survey_id\n        and distribution_contact.source_relation = survey_response.source_relation\n),\n\nagg_distribution_responses as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when sent_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_sent_email,\n        count(distinct case when sent_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_sent_sms,\n        count(distinct case when opened_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_opened_email,\n        count(distinct case when opened_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_opened_sms,\n        count(distinct case when response_started_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_started_email,\n        count(distinct case when response_started_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_started_sms,\n        count(distinct case when response_completed_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_completed_email,\n        count(distinct case when response_completed_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_completed_sms\n    from distribution_response\n    group by 1,2\n),\n\nagg_survey_responses as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct survey_id) as total_count_surveys,\n        count(distinct case when is_finished then survey_id else null end) as total_count_completed_surveys,\n        avg(progress) as avg_survey_progress_pct,\n        avg(duration_in_seconds) as avg_survey_duration_in_seconds,\n        max(recorded_date) as last_survey_response_recorded_at,\n        min(recorded_date) as first_survey_response_recorded_at\n        \n    from distribution_response\n    group by 1,2\n),\n\ncalc_medians as (\n\n    select \n        contact_id,\n        source_relation,\n        median_survey_duration_in_seconds,\n        median_survey_progress_pct\n        \n    from (\n        select \n            contact_id, \n            source_relation,\n            {{ fivetran_utils.percentile(percentile_field='duration_in_seconds', partition_field='contact_id,source_relation', percent='0.5') }} as median_survey_duration_in_seconds,\n            {{ fivetran_utils.percentile(percentile_field='progress', partition_field='contact_id,source_relation', percent='0.5') }} as median_survey_progress_pct\n\n        from distribution_response\n        {% if target.type == 'postgres' %} group by 1,2 {% endif %} -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n    {% if target.type != 'postgres' %} group by 1,2,3,4 {% endif %} -- roll up if using window function\n),\n\nfinal as (\n    \n    select \n        contacts.*,\n        coalesce(agg_distribution_responses.count_surveys_sent_email, 0) as count_surveys_sent_email,\n        coalesce(agg_distribution_responses.count_surveys_sent_sms, 0) as count_surveys_sent_sms,\n        coalesce(agg_distribution_responses.count_surveys_opened_email, 0) as count_surveys_opened_email,\n        coalesce(agg_distribution_responses.count_surveys_opened_sms, 0) as count_surveys_opened_sms,\n        coalesce(agg_distribution_responses.count_surveys_started_email, 0) as count_surveys_started_email,\n        coalesce(agg_distribution_responses.count_surveys_started_sms, 0) as count_surveys_started_sms,\n        coalesce(agg_distribution_responses.count_surveys_completed_email, 0) as count_surveys_completed_email,\n        coalesce(agg_distribution_responses.count_surveys_completed_sms, 0) as count_surveys_completed_sms,\n        coalesce(agg_survey_responses.total_count_surveys, 0) as total_count_surveys,\n        coalesce(agg_survey_responses.total_count_completed_surveys, 0) as total_count_completed_surveys,\n        agg_survey_responses.avg_survey_progress_pct,\n        agg_survey_responses.avg_survey_duration_in_seconds,\n        calc_medians.median_survey_progress_pct,\n        calc_medians.median_survey_duration_in_seconds,\n        agg_survey_responses.last_survey_response_recorded_at,\n        agg_survey_responses.first_survey_response_recorded_at,\n        directory.name as directory_name,\n        directory.is_default as is_in_default_directory,\n        directory.is_deleted as is_directory_deleted\n\n    from contacts\n    left join agg_survey_responses\n        on contacts.contact_id = agg_survey_responses.contact_id\n        and contacts.source_relation = agg_survey_responses.source_relation\n    left join agg_distribution_responses\n        on contacts.contact_id = agg_distribution_responses.contact_id\n        and contacts.source_relation = agg_distribution_responses.source_relation\n    left join directory\n        on contacts.directory_id = directory.directory_id \n        and contacts.source_relation = directory.source_relation\n    left join calc_medians\n        on contacts.contact_id = calc_medians.contact_id\n        and contacts.source_relation = calc_medians.source_relation\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "int_qualtrics__contacts", "package": null, "version": null}, {"name": "stg_qualtrics__directory", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_contact", "package": null, "version": null}, {"name": "stg_qualtrics__distribution", "package": null, "version": null}, {"name": "stg_qualtrics__survey_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.percentile"], "nodes": ["model.qualtrics.int_qualtrics__contacts", "model.qualtrics_source.stg_qualtrics__directory", "model.qualtrics_source.stg_qualtrics__distribution_contact", "model.qualtrics_source.stg_qualtrics__distribution", "model.qualtrics_source.stg_qualtrics__survey_response"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__contact.sql", "compiled": true, "compiled_code": "with  __dbt__cte__int_qualtrics__contacts as (\n\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final\n),contacts as (\n\n    select *\n    from __dbt__cte__int_qualtrics__contacts\n),\n\ndirectory as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory`\n),\n\ndistribution_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\ndistribution as (\n-- just to grab survey id \n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution`\n),\n\nsurvey_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\ndistribution_response as (\n\n    select\n        distribution_contact.*,\n        distribution.survey_id,\n        survey_response.distribution_channel,\n        survey_response.progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished,\n        survey_response.recorded_date\n\n    from distribution_contact \n    left join distribution\n        on distribution_contact.distribution_id = distribution.distribution_id\n        and distribution_contact.source_relation = distribution.source_relation\n    left join survey_response\n        on distribution_contact.response_id = survey_response.response_id\n        and distribution.survey_id = survey_response.survey_id\n        and distribution_contact.source_relation = survey_response.source_relation\n),\n\nagg_distribution_responses as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when sent_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_sent_email,\n        count(distinct case when sent_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_sent_sms,\n        count(distinct case when opened_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_opened_email,\n        count(distinct case when opened_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_opened_sms,\n        count(distinct case when response_started_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_started_email,\n        count(distinct case when response_started_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_started_sms,\n        count(distinct case when response_completed_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_completed_email,\n        count(distinct case when response_completed_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_completed_sms\n    from distribution_response\n    group by 1,2\n),\n\nagg_survey_responses as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct survey_id) as total_count_surveys,\n        count(distinct case when is_finished then survey_id else null end) as total_count_completed_surveys,\n        avg(progress) as avg_survey_progress_pct,\n        avg(duration_in_seconds) as avg_survey_duration_in_seconds,\n        max(recorded_date) as last_survey_response_recorded_at,\n        min(recorded_date) as first_survey_response_recorded_at\n        \n    from distribution_response\n    group by 1,2\n),\n\ncalc_medians as (\n\n    select \n        contact_id,\n        source_relation,\n        median_survey_duration_in_seconds,\n        median_survey_progress_pct\n        \n    from (\n        select \n            contact_id, \n            source_relation,\n            \n\n    percentile_cont( \n        duration_in_seconds, \n        0.5) \n        over (partition by contact_id,source_relation    \n        )\n\n as median_survey_duration_in_seconds,\n            \n\n    percentile_cont( \n        progress, \n        0.5) \n        over (partition by contact_id,source_relation    \n        )\n\n as median_survey_progress_pct\n\n        from distribution_response\n         -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n     group by 1,2,3,4  -- roll up if using window function\n),\n\nfinal as (\n    \n    select \n        contacts.*,\n        coalesce(agg_distribution_responses.count_surveys_sent_email, 0) as count_surveys_sent_email,\n        coalesce(agg_distribution_responses.count_surveys_sent_sms, 0) as count_surveys_sent_sms,\n        coalesce(agg_distribution_responses.count_surveys_opened_email, 0) as count_surveys_opened_email,\n        coalesce(agg_distribution_responses.count_surveys_opened_sms, 0) as count_surveys_opened_sms,\n        coalesce(agg_distribution_responses.count_surveys_started_email, 0) as count_surveys_started_email,\n        coalesce(agg_distribution_responses.count_surveys_started_sms, 0) as count_surveys_started_sms,\n        coalesce(agg_distribution_responses.count_surveys_completed_email, 0) as count_surveys_completed_email,\n        coalesce(agg_distribution_responses.count_surveys_completed_sms, 0) as count_surveys_completed_sms,\n        coalesce(agg_survey_responses.total_count_surveys, 0) as total_count_surveys,\n        coalesce(agg_survey_responses.total_count_completed_surveys, 0) as total_count_completed_surveys,\n        agg_survey_responses.avg_survey_progress_pct,\n        agg_survey_responses.avg_survey_duration_in_seconds,\n        calc_medians.median_survey_progress_pct,\n        calc_medians.median_survey_duration_in_seconds,\n        agg_survey_responses.last_survey_response_recorded_at,\n        agg_survey_responses.first_survey_response_recorded_at,\n        directory.name as directory_name,\n        directory.is_default as is_in_default_directory,\n        directory.is_deleted as is_directory_deleted\n\n    from contacts\n    left join agg_survey_responses\n        on contacts.contact_id = agg_survey_responses.contact_id\n        and contacts.source_relation = agg_survey_responses.source_relation\n    left join agg_distribution_responses\n        on contacts.contact_id = agg_distribution_responses.contact_id\n        and contacts.source_relation = agg_distribution_responses.source_relation\n    left join directory\n        on contacts.directory_id = directory.directory_id \n        and contacts.source_relation = directory.source_relation\n    left join calc_medians\n        on contacts.contact_id = calc_medians.contact_id\n        and contacts.source_relation = calc_medians.source_relation\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [{"id": "model.qualtrics.int_qualtrics__contacts", "sql": " __dbt__cte__int_qualtrics__contacts as (\n\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final\n)"}], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics.int_qualtrics__question": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_int_qualtrics", "name": "int_qualtrics__question", "resource_type": "model", "package_name": "qualtrics", "path": "intermediate/int_qualtrics__question.sql", "original_file_path": "models/intermediate/int_qualtrics__question.sql", "unique_id": "model.qualtrics.int_qualtrics__question", "fqn": ["qualtrics", "intermediate", "int_qualtrics__question"], "alias": "int_qualtrics__question", "checksum": {"name": "sha256", "checksum": "045f8c9538cff669efcb6a70b15937453fdf0f0ef19c899cec7be4178cd66836"}, "config": {"enabled": true, "alias": null, "schema": "int_qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "ephemeral", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "int_qualtrics", "materialized": "ephemeral"}, "created_at": 1690564820.081294, "relation_name": null, "raw_code": "with question as (\n\n    select *\n    from {{ var('question') }}\n),\n\nblock_question as (\n\n    select *\n    from {{ var('block_question') }}\n    where not coalesce(is_deleted, false) -- lets get rid of deleted questions\n),\n\nblock as (\n\n    select *\n    from {{ var('block') }}\n),\n\nsub_question as (\n    \n    select *\n    from {{ var('sub_question') }}\n),\n\nquestion_join as (\n\n    select\n        question.question_id,\n        {{ dbt.split_part('question.question_id', \"'#'\", 1) }} as parent_question_id,\n        question.question_text,\n        question.survey_id,\n        question.question_description,\n        question.question_description_option,\n        sub_question.key as sub_question_key,\n        sub_question.text as sub_question_text,\n        question.question_type,\n        question.selector,\n        question.sub_selector,\n        question.is_data_hidden,\n        question.is_data_private,\n        question.is_deleted as is_question_deleted,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.data_export_tag,\n        sub_question.choice_data_export_tag,\n        block.block_id,\n        block.description as block_description,\n        block.randomize_questions as block_question_randomization,\n        block.type as block_type,\n        block.block_visibility,\n        block.is_locked as is_block_locked,\n        block.is_deleted as is_block_deleted,\n        question.next_answer_id,\n        question.next_choice_id,\n        question.source_relation\n\n    from question\n    left join sub_question\n        on question.question_id = sub_question.question_id {# this will fan out the grain from question_id to question_id+sub_question_key#}\n        and question.survey_id = sub_question.survey_id\n        and question.source_relation = sub_question.source_relation\n    \n    left join block_question\n        on question.question_id = block_question.question_id\n        and question.survey_id = block_question.survey_id\n        and question.source_relation = block_question.source_relation\n\n    left join block\n        on block_question.block_id = block.block_id\n        and block_question.survey_id = block.survey_id\n        and block_question.source_relation = block.source_relation\n\n)\n\nselect *\nfrom question_join", "language": "sql", "refs": [{"name": "stg_qualtrics__question", "package": null, "version": null}, {"name": "stg_qualtrics__block_question", "package": null, "version": null}, {"name": "stg_qualtrics__block", "package": null, "version": null}, {"name": "stg_qualtrics__sub_question", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.split_part"], "nodes": ["model.qualtrics_source.stg_qualtrics__question", "model.qualtrics_source.stg_qualtrics__block_question", "model.qualtrics_source.stg_qualtrics__block", "model.qualtrics_source.stg_qualtrics__sub_question"]}, "compiled_path": "target/compiled/qualtrics/models/intermediate/int_qualtrics__question.sql", "compiled": true, "compiled_code": "with question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question`\n),\n\nblock_question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block_question`\n    where not coalesce(is_deleted, false) -- lets get rid of deleted questions\n),\n\nblock as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block`\n),\n\nsub_question as (\n    \n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__sub_question`\n),\n\nquestion_join as (\n\n    select\n        question.question_id,\n        \n\n  \n    split(\n        question.question_id,\n        '#'\n        )[safe_offset(0)]\n  \n\n as parent_question_id,\n        question.question_text,\n        question.survey_id,\n        question.question_description,\n        question.question_description_option,\n        sub_question.key as sub_question_key,\n        sub_question.text as sub_question_text,\n        question.question_type,\n        question.selector,\n        question.sub_selector,\n        question.is_data_hidden,\n        question.is_data_private,\n        question.is_deleted as is_question_deleted,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.data_export_tag,\n        sub_question.choice_data_export_tag,\n        block.block_id,\n        block.description as block_description,\n        block.randomize_questions as block_question_randomization,\n        block.type as block_type,\n        block.block_visibility,\n        block.is_locked as is_block_locked,\n        block.is_deleted as is_block_deleted,\n        question.next_answer_id,\n        question.next_choice_id,\n        question.source_relation\n\n    from question\n    left join sub_question\n        on question.question_id = sub_question.question_id \n        and question.survey_id = sub_question.survey_id\n        and question.source_relation = sub_question.source_relation\n    \n    left join block_question\n        on question.question_id = block_question.question_id\n        and question.survey_id = block_question.survey_id\n        and question.source_relation = block_question.source_relation\n\n    left join block\n        on block_question.block_id = block.block_id\n        and block_question.survey_id = block.survey_id\n        and block_question.source_relation = block.source_relation\n\n)\n\nselect *\nfrom question_join", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics.int_qualtrics__responses": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_int_qualtrics", "name": "int_qualtrics__responses", "resource_type": "model", "package_name": "qualtrics", "path": "intermediate/int_qualtrics__responses.sql", "original_file_path": "models/intermediate/int_qualtrics__responses.sql", "unique_id": "model.qualtrics.int_qualtrics__responses", "fqn": ["qualtrics", "intermediate", "int_qualtrics__responses"], "alias": "int_qualtrics__responses", "checksum": {"name": "sha256", "checksum": "cd5a0cebcb039dfc5590af8a36fdd8a163978274cfa6c47e3e35711deb4de26f"}, "config": {"enabled": true, "alias": null, "schema": "int_qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "ephemeral", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "int_qualtrics", "materialized": "ephemeral"}, "created_at": 1690564820.0891562, "relation_name": null, "raw_code": "with question_response as (\n\n    select *\n    from {{ var('question_response') }}\n),\n\nsurvey_response as (\n\n    select *\n    from {{ var('survey_response') }}\n),\n\nresponse_join as (\n\n    select \n        question_response._fivetran_id as question_response_id,\n        question_response.response_id as survey_response_id,\n        survey_response.survey_id,\n        question_response.question_id,\n        question_response.question as question_text,\n        question_response.sub_question_key,\n        question_response.sub_question_text,\n        question_response.question_option_key,\n        question_response.value,\n        question_response.loop_id,\n        survey_response.distribution_channel,\n        survey_response.status as survey_response_status,\n        survey_response.progress as survey_progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished as is_finished_with_survey,\n        survey_response.finished_at as survey_finished_at,\n        survey_response.last_modified_at as survey_response_last_modified_at,\n        survey_response.recorded_date as survey_response_recorded_at,\n        survey_response.started_at as survey_response_started_at,\n        survey_response.recipient_email,\n        survey_response.recipient_first_name,\n        survey_response.recipient_last_name,\n        survey_response.user_language,\n        survey_response.ip_address,\n        survey_response.location_latitude,\n        survey_response.location_longitude,\n        question_response.source_relation\n    \n    from question_response \n    inner join survey_response -- every question response will belong to an overall \"survey response\"\n        on question_response.response_id = survey_response.response_id\n        and question_response.source_relation = survey_response.source_relation\n        \n)\n\nselect *\nfrom response_join", "language": "sql", "refs": [{"name": "stg_qualtrics__question_response", "package": null, "version": null}, {"name": "stg_qualtrics__survey_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": [], "nodes": ["model.qualtrics_source.stg_qualtrics__question_response", "model.qualtrics_source.stg_qualtrics__survey_response"]}, "compiled_path": "target/compiled/qualtrics/models/intermediate/int_qualtrics__responses.sql", "compiled": true, "compiled_code": "with question_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_response`\n),\n\nsurvey_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\nresponse_join as (\n\n    select \n        question_response._fivetran_id as question_response_id,\n        question_response.response_id as survey_response_id,\n        survey_response.survey_id,\n        question_response.question_id,\n        question_response.question as question_text,\n        question_response.sub_question_key,\n        question_response.sub_question_text,\n        question_response.question_option_key,\n        question_response.value,\n        question_response.loop_id,\n        survey_response.distribution_channel,\n        survey_response.status as survey_response_status,\n        survey_response.progress as survey_progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished as is_finished_with_survey,\n        survey_response.finished_at as survey_finished_at,\n        survey_response.last_modified_at as survey_response_last_modified_at,\n        survey_response.recorded_date as survey_response_recorded_at,\n        survey_response.started_at as survey_response_started_at,\n        survey_response.recipient_email,\n        survey_response.recipient_first_name,\n        survey_response.recipient_last_name,\n        survey_response.user_language,\n        survey_response.ip_address,\n        survey_response.location_latitude,\n        survey_response.location_longitude,\n        question_response.source_relation\n    \n    from question_response \n    inner join survey_response -- every question response will belong to an overall \"survey response\"\n        on question_response.response_id = survey_response.response_id\n        and question_response.source_relation = survey_response.source_relation\n        \n)\n\nselect *\nfrom response_join", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics.int_qualtrics__survey_embedded_data": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_int_qualtrics", "name": "int_qualtrics__survey_embedded_data", "resource_type": "model", "package_name": "qualtrics", "path": "intermediate/int_qualtrics__survey_embedded_data.sql", "original_file_path": "models/intermediate/int_qualtrics__survey_embedded_data.sql", "unique_id": "model.qualtrics.int_qualtrics__survey_embedded_data", "fqn": ["qualtrics", "intermediate", "int_qualtrics__survey_embedded_data"], "alias": "int_qualtrics__survey_embedded_data", "checksum": {"name": "sha256", "checksum": "840873087c882c170c9807466fbf5679240a05b814926eaad6322450b632dfe1"}, "config": {"enabled": true, "alias": null, "schema": "int_qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "ephemeral", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "int_qualtrics", "materialized": "ephemeral"}, "created_at": 1690564820.095419, "relation_name": null, "raw_code": "with survey_embedded_data as (\n\n    select *\n    from {{ var('survey_embedded_data') }}\n),\n\njsonify as (\n\n    select\n        response_id, -- survey_response\n        source_relation,\n        '{' || {{ fivetran_utils.string_agg('key || ' ~ \"':'\" ~ ' || value', \"', '\") }} || '}' as embedded_data\n    from survey_embedded_data\n    group by 1,2\n)\n\nselect \n    response_id,\n    source_relation,\n    embedded_data\nfrom jsonify \ngroup by 1,2,3", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_embedded_data", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.string_agg"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_embedded_data"]}, "compiled_path": "target/compiled/qualtrics/models/intermediate/int_qualtrics__survey_embedded_data.sql", "compiled": true, "compiled_code": "with survey_embedded_data as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`\n),\n\njsonify as (\n\n    select\n        response_id, -- survey_response\n        source_relation,\n        '{' || \n    string_agg(key || ':' || value, ', ')\n\n || '}' as embedded_data\n    from survey_embedded_data\n    group by 1,2\n)\n\nselect \n    response_id,\n    source_relation,\n    embedded_data\nfrom jsonify \ngroup by 1,2,3", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics.int_qualtrics__survey": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_int_qualtrics", "name": "int_qualtrics__survey", "resource_type": "model", "package_name": "qualtrics", "path": "intermediate/int_qualtrics__survey.sql", "original_file_path": "models/intermediate/int_qualtrics__survey.sql", "unique_id": "model.qualtrics.int_qualtrics__survey", "fqn": ["qualtrics", "intermediate", "int_qualtrics__survey"], "alias": "int_qualtrics__survey", "checksum": {"name": "sha256", "checksum": "81d4ddc30012dc9ae27b11005d7f6efdc6e9450953534519cfd54c2fe2447048"}, "config": {"enabled": true, "alias": null, "schema": "int_qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "ephemeral", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "int_qualtrics", "materialized": "ephemeral"}, "created_at": 1690564820.100553, "relation_name": null, "raw_code": "with survey as (\n\n    select *\n    from {{ var('survey') }}\n),\n\nqualtrics_user as (\n\n    select *\n    from {{ var('user') }}\n),\n\nsurvey_version as (\n\n    select *\n    from {{ var('survey_version') }}\n),\n\nlatest_version as (\n\n    select *\n    from survey_version \n    where is_published\n),\n\nagg_versions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct version_number) as count_published_versions\n    from survey_version\n    where was_published and not is_deleted\n    group by 1,2\n),\n\nsurvey_join as (\n\n    select\n\n        survey.*,\n        latest_version.version_id,\n        latest_version.version_number,\n        latest_version.version_description,\n        latest_version.created_at as survey_version_created_at,\n        agg_versions.count_published_versions,\n        latest_version.publisher_user_id,\n        version_publisher.email as publisher_email, \n        creator.email as creator_email,\n        owner.email as owner_email\n\n    from survey\n    left join latest_version\n        on survey.survey_id = latest_version.survey_id\n        and survey.source_relation = latest_version.source_relation\n    left join qualtrics_user as version_publisher\n        on latest_version.publisher_user_id = version_publisher.user_id\n        and latest_version.source_relation = version_publisher.source_relation\n    left join qualtrics_user as owner\n        on survey.owner_user_id = owner.user_id\n        and survey.source_relation = owner.source_relation\n    left join qualtrics_user as creator\n        on survey.creator_user_id = creator.user_id\n        and survey.source_relation = creator.source_relation\n    left join agg_versions \n        on survey.survey_id = agg_versions.survey_id\n        and survey.source_relation = agg_versions.source_relation\n)\n\nselect *\nfrom survey_join", "language": "sql", "refs": [{"name": "stg_qualtrics__survey", "package": null, "version": null}, {"name": "stg_qualtrics__user", "package": null, "version": null}, {"name": "stg_qualtrics__survey_version", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": [], "nodes": ["model.qualtrics_source.stg_qualtrics__survey", "model.qualtrics_source.stg_qualtrics__user", "model.qualtrics_source.stg_qualtrics__survey_version"]}, "compiled_path": "target/compiled/qualtrics/models/intermediate/int_qualtrics__survey.sql", "compiled": true, "compiled_code": "with survey as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey`\n),\n\nqualtrics_user as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__user`\n),\n\nsurvey_version as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_version`\n),\n\nlatest_version as (\n\n    select *\n    from survey_version \n    where is_published\n),\n\nagg_versions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct version_number) as count_published_versions\n    from survey_version\n    where was_published and not is_deleted\n    group by 1,2\n),\n\nsurvey_join as (\n\n    select\n\n        survey.*,\n        latest_version.version_id,\n        latest_version.version_number,\n        latest_version.version_description,\n        latest_version.created_at as survey_version_created_at,\n        agg_versions.count_published_versions,\n        latest_version.publisher_user_id,\n        version_publisher.email as publisher_email, \n        creator.email as creator_email,\n        owner.email as owner_email\n\n    from survey\n    left join latest_version\n        on survey.survey_id = latest_version.survey_id\n        and survey.source_relation = latest_version.source_relation\n    left join qualtrics_user as version_publisher\n        on latest_version.publisher_user_id = version_publisher.user_id\n        and latest_version.source_relation = version_publisher.source_relation\n    left join qualtrics_user as owner\n        on survey.owner_user_id = owner.user_id\n        and survey.source_relation = owner.source_relation\n    left join qualtrics_user as creator\n        on survey.creator_user_id = creator.user_id\n        and survey.source_relation = creator.source_relation\n    left join agg_versions \n        on survey.survey_id = agg_versions.survey_id\n        and survey.source_relation = agg_versions.source_relation\n)\n\nselect *\nfrom survey_join", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics.int_qualtrics__contacts": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_int_qualtrics", "name": "int_qualtrics__contacts", "resource_type": "model", "package_name": "qualtrics", "path": "intermediate/int_qualtrics__contacts.sql", "original_file_path": "models/intermediate/int_qualtrics__contacts.sql", "unique_id": "model.qualtrics.int_qualtrics__contacts", "fqn": ["qualtrics", "intermediate", "int_qualtrics__contacts"], "alias": "int_qualtrics__contacts", "checksum": {"name": "sha256", "checksum": "2468fc62fc9be3f0f48db8f3a85fcb8f4935003286d27960a580a2fc1d490dae"}, "config": {"enabled": true, "alias": null, "schema": "int_qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "ephemeral", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "int_qualtrics", "materialized": "ephemeral"}, "created_at": 1690564820.105314, "relation_name": null, "raw_code": "{# \nThis model unions together contacts from the XM Directory and Research Core Contact endpoints.\nResearch Core contacts will be deprecated in 2023 by Qualtrics\n#}\nwith directory_contact as (\n\n    select *\n    from {{ var('directory_contact') }}\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from {{ var('contact_mailing_list_membership') }}\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        {{ fivetran_utils.string_agg('mailing_list_id', \"', '\") }} as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n{% if var('qualtrics__using_core_contacts', false) %}\ncore_contact as (\n\n    select *\n    from {{ var('core_contact') }}\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        {{ fivetran_utils.string_agg('mailing_list_id', \"', '\") }} as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        {% if var('qualtrics__directory_contact_pass_through_columns', none) %}\n            {% for field in var('qualtrics__directory_contact_pass_through_columns') %}\n                , null as {{ field.alias if field.alias else field.name }}\n            {% endfor %}\n        {% endif %}\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='qualtrics__core_contact_pass_through_columns', identifier='core_contact_join') }}\n\n\n    from core_contact_join\n    union all \n\n{% else %}\nfinal as (\n{% endif %}\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='qualtrics__directory_contact_pass_through_columns') }}\n\n        {% if var('qualtrics__core_contact_pass_through_columns', none) %}\n            {% for field in var('qualtrics__core_contact_pass_through_columns') %}\n                , null as {{ field.alias if field.alias else field.name }}\n            {% endfor %}\n        {% endif %}\n\n    from directory_contact_join\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_contact", "package": null, "version": null}, {"name": "stg_qualtrics__contact_mailing_list_membership", "package": null, "version": null}, {"name": "stg_qualtrics__core_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.string_agg", "macro.fivetran_utils.persist_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_contact", "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership", "model.qualtrics_source.stg_qualtrics__core_contact"]}, "compiled_path": "target/compiled/qualtrics/models/intermediate/int_qualtrics__contacts.sql", "compiled": true, "compiled_code": "\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__survey": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__survey", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__survey.sql", "original_file_path": "models/stg_qualtrics__survey.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey", "fqn": ["qualtrics_source", "stg_qualtrics__survey"], "alias": "stg_qualtrics__survey", "checksum": {"name": "sha256", "checksum": "1c98b95f41fa069046add44b3c572b84b83fa7eaaba94c4318370403b2551c64"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Qualtrics survey.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_scoring_category": {"name": "auto_scoring_category", "description": "The automated scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_base_url": {"name": "brand_base_url", "description": "Base url for the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_id": {"name": "brand_id", "description": "Unique ID of the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "bundle_short_name": {"name": "bundle_short_name", "description": "Short name for the content bundle that the survey is from.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "composition_type": {"name": "composition_type", "description": "Survey composition type.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creator_user_id": {"name": "creator_user_id", "description": "The unique identifier for a specific `USER` who created the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "default_scoring_category": {"name": "default_scoring_category", "description": "The default scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "division_id": {"name": "division_id", "description": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_accessed_at": {"name": "last_accessed_at", "description": "The date the survey was last accessed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_activated_at": {"name": "last_activated_at", "description": "The date the survey was last activated.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_category": {"name": "project_category", "description": "Project category of the survey.\n\nAllowed values - `CORE`, `CX`, `EX`, `BX`, `PX`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_type": {"name": "project_type", "description": "Type of [Qualtrics project](https://www.qualtrics.com/support/survey-platform/my-projects/my-projects-overview/#SelectingProjectType). Match pattern = ^[a-zA-Z]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_sha": {"name": "registry_sha", "description": "The survey registry SHA.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_version": {"name": "registry_version", "description": "The survey registry version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "schema_version": {"name": "schema_version", "description": "Qualtrics schema version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_questions": {"name": "scoring_summary_after_questions", "description": "Boolean representing whether the scoring summary is after questions.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_survey": {"name": "scoring_summary_after_survey", "description": "Boolean representing whether the scoring summary is after the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_category": {"name": "scoring_summary_category", "description": "The unique identifier for the scoring.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_name": {"name": "survey_name", "description": "Name of the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_status": {"name": "survey_status", "description": "The distribution status of the survey, or a flag indicating that it's a library block\n\nAllowed values - `Inactive`, `Active`, `Pending`, `LibBlock`, `Deactive`, `Temporary`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.643105, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__survey_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__survey_tmp')),\n                staging_columns=get_survey_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        id as survey_id,\n        survey_name,\n        survey_status,\n        brand_base_url,\n        brand_id,\n        bundle_short_name,\n        composition_type,\n        auto_scoring_category,\n        default_scoring_category,\n        division_id,\n        creator_id as creator_user_id,\n        owner_id as owner_user_id,\n        project_category,\n        project_type,\n        registry_sha,\n        registry_version,\n        schema_version,\n        scoring_summary_after_questions,\n        scoring_summary_after_survey,\n        scoring_summary_category,\n        last_accessed as last_accessed_at,\n        last_activated as last_activated_at,\n        last_modified as last_modified_at,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        {{ fivetran_utils.fill_pass_through_columns('qualtrics__survey_pass_through_columns') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__survey_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_survey_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_tmp", "model.qualtrics_source.stg_qualtrics__survey_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__survey.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    auto_scoring_category\n    \n as \n    \n    auto_scoring_category\n    \n, \n    \n    \n    brand_base_url\n    \n as \n    \n    brand_base_url\n    \n, \n    \n    \n    brand_id\n    \n as \n    \n    brand_id\n    \n, \n    \n    \n    bundle_short_name\n    \n as \n    \n    bundle_short_name\n    \n, \n    \n    \n    composition_type\n    \n as \n    \n    composition_type\n    \n, \n    \n    \n    creator_id\n    \n as \n    \n    creator_id\n    \n, \n    \n    \n    default_scoring_category\n    \n as \n    \n    default_scoring_category\n    \n, \n    \n    \n    division_id\n    \n as \n    \n    division_id\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    last_accessed\n    \n as \n    \n    last_accessed\n    \n, \n    \n    \n    last_activated\n    \n as \n    \n    last_activated\n    \n, \n    \n    \n    last_modified\n    \n as \n    \n    last_modified\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n, \n    \n    \n    project_category\n    \n as \n    \n    project_category\n    \n, \n    \n    \n    project_type\n    \n as \n    \n    project_type\n    \n, \n    \n    \n    registry_sha\n    \n as \n    \n    registry_sha\n    \n, \n    \n    \n    registry_version\n    \n as \n    \n    registry_version\n    \n, \n    \n    \n    schema_version\n    \n as \n    \n    schema_version\n    \n, \n    \n    \n    scoring_summary_after_questions\n    \n as \n    \n    scoring_summary_after_questions\n    \n, \n    \n    \n    scoring_summary_after_survey\n    \n as \n    \n    scoring_summary_after_survey\n    \n, \n    \n    \n    scoring_summary_category\n    \n as \n    \n    scoring_summary_category\n    \n, \n    \n    \n    survey_name\n    \n as \n    \n    survey_name\n    \n, \n    \n    \n    survey_status\n    \n as \n    \n    survey_status\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        id as survey_id,\n        survey_name,\n        survey_status,\n        brand_base_url,\n        brand_id,\n        bundle_short_name,\n        composition_type,\n        auto_scoring_category,\n        default_scoring_category,\n        division_id,\n        creator_id as creator_user_id,\n        owner_id as owner_user_id,\n        project_category,\n        project_type,\n        registry_sha,\n        registry_version,\n        schema_version,\n        scoring_summary_after_questions,\n        scoring_summary_after_survey,\n        scoring_summary_category,\n        last_accessed as last_accessed_at,\n        last_activated as last_activated_at,\n        last_modified as last_modified_at,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__block_question": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__block_question", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__block_question.sql", "original_file_path": "models/stg_qualtrics__block_question.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__block_question", "fqn": ["qualtrics_source", "stg_qualtrics__block_question"], "alias": "stg_qualtrics__block_question", "checksum": {"name": "sha256", "checksum": "9058b1a430fb1b6aea93f2c7b97324dd96ba56eab90265bbd4837bd7c29eecbd"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Table relating questions and blocks together.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_id": {"name": "block_id", "description": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.661373, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block_question`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__block_question_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__block_question_tmp')),\n                staging_columns=get_block_question_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n    \n    select \n        block_id,\n        question_id,\n        survey_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__block_question_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__block_question_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_block_question_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__block_question_tmp", "model.qualtrics_source.stg_qualtrics__block_question_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__block_question.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block_question_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    block_id\n    \n as \n    \n    block_id\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n    \n    select \n        block_id,\n        question_id,\n        survey_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__question_option": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__question_option", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__question_option.sql", "original_file_path": "models/stg_qualtrics__question_option.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question_option", "fqn": ["qualtrics_source", "stg_qualtrics__question_option"], "alias": "stg_qualtrics__question_option", "checksum": {"name": "sha256", "checksum": "b7f4a09e6ecbc2e72900e78ffe3bbd104183414ffda7453c5f5e620609ae40a4"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Choice options for survey questions.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "The key of the `QUESTION_OPTION` that was chosen.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recode_value": {"name": "recode_value", "description": "Recode/mapping value for the option.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "text": {"name": "text", "description": "Question option text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.6501272, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_option`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__question_option_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__question_option_tmp')),\n                staging_columns=get_question_option_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        question_id,\n        survey_id,\n        key,\n        recode_value,\n        text,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__question_option_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__question_option_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_question_option_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_option_tmp", "model.qualtrics_source.stg_qualtrics__question_option_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__question_option.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_option_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    key\n    \n as \n    \n    key\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    recode_value\n    \n as \n    \n    recode_value\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    text\n    \n as \n    \n    text\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        question_id,\n        survey_id,\n        key,\n        recode_value,\n        text,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__contact_mailing_list_membership", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__contact_mailing_list_membership.sql", "original_file_path": "models/stg_qualtrics__contact_mailing_list_membership.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership", "fqn": ["qualtrics_source", "stg_qualtrics__contact_mailing_list_membership"], "alias": "stg_qualtrics__contact_mailing_list_membership", "checksum": {"name": "sha256", "checksum": "f2804491e5f571f910c142a7d6eec5c1124ff6ba452302f8304ef35fc73badcd"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Table relating contacts to mailing lists they are a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_lookup_id": {"name": "contact_lookup_id", "description": "Optional contact lookup ID for individual distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed_at": {"name": "unsubscribed_at", "description": "Date and time the user opted out of this mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_unsubscribed": {"name": "is_unsubscribed", "description": "Boolean indicating whether the contact has opted out of receiving email through this mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.676558, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__contact_mailing_list_membership_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__contact_mailing_list_membership_tmp')),\n                staging_columns=get_contact_mailing_list_membership_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        contact_id,\n        contact_lookup_id,\n        directory_id,\n        mailing_list_id,\n        name,\n        owner_id as owner_user_id,\n        unsubscribe_date as unsubscribed_at,\n        unsubscribed as is_unsubscribed,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__contact_mailing_list_membership_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__contact_mailing_list_membership_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_contact_mailing_list_membership_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership_tmp", "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__contact_mailing_list_membership.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    contact_id\n    \n as \n    \n    contact_id\n    \n, \n    \n    \n    contact_lookup_id\n    \n as \n    \n    contact_lookup_id\n    \n, \n    \n    \n    directory_id\n    \n as \n    \n    directory_id\n    \n, \n    \n    \n    mailing_list_id\n    \n as \n    \n    mailing_list_id\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n, \n    \n    \n    unsubscribe_date\n    \n as \n    \n    unsubscribe_date\n    \n, \n    \n    \n    unsubscribed\n    \n as \n    \n    unsubscribed\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        contact_id,\n        contact_lookup_id,\n        directory_id,\n        mailing_list_id,\n        name,\n        owner_id as owner_user_id,\n        unsubscribe_date as unsubscribed_at,\n        unsubscribed as is_unsubscribed,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__directory_contact": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__directory_contact", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__directory_contact.sql", "original_file_path": "models/stg_qualtrics__directory_contact.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory_contact", "fqn": ["qualtrics_source", "stg_qualtrics__directory_contact"], "alias": "stg_qualtrics__directory_contact", "checksum": {"name": "sha256", "checksum": "26785ef82e46939248fd78625de22dfda2a218855a6d03cb406f701d691c78b3"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Tablle relating contacts to the directories they are a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed_from_directory_at": {"name": "unsubscribed_from_directory_at", "description": "Date and time the user opted out of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_unsubscribed_from_directory": {"name": "is_unsubscribed_from_directory", "description": "Boolean indicating whether the contact unsubscribed from all contact from the Directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "Contact's email address. Must be in proper email format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email_domain": {"name": "email_domain", "description": "Domain of the contact's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ext_ref": {"name": "ext_ref", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "phone": {"name": "phone", "description": "Contact's phone number.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.666144, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_contact`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__directory_contact_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__directory_contact_tmp')),\n                staging_columns=get_directory_contact_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        directory_id,\n        directory_unsubscribe_date as unsubscribed_from_directory_at,\n        directory_unsubscribed as is_unsubscribed_from_directory,\n        lower(email) as email,\n        lower(email_domain) as email_domain,\n        ext_ref,\n        first_name,\n        last_name,\n        REGEXP_REPLACE(phone, '[^0-9]', '') AS phone, -- remove any non-numeric chars\n        id as contact_id,\n        language,\n        last_modified as last_modified_at,\n        _fivetran_synced,\n        source_relation\n\n        {{ fivetran_utils.fill_pass_through_columns('qualtrics__directory_contact_pass_through_columns') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_contact_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__directory_contact_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_directory_contact_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_contact_tmp", "model.qualtrics_source.stg_qualtrics__directory_contact_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__directory_contact.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_contact_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    creation_date\n    \n as \n    \n    creation_date\n    \n, \n    \n    \n    directory_id\n    \n as \n    \n    directory_id\n    \n, \n    \n    \n    directory_unsubscribe_date\n    \n as \n    \n    directory_unsubscribe_date\n    \n, \n    \n    \n    directory_unsubscribed\n    \n as \n    \n    directory_unsubscribed\n    \n, \n    \n    \n    email\n    \n as \n    \n    email\n    \n, \n    \n    \n    email_domain\n    \n as \n    \n    email_domain\n    \n, \n    \n    \n    ext_ref\n    \n as \n    \n    ext_ref\n    \n, \n    \n    \n    first_name\n    \n as \n    \n    first_name\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    language\n    \n as \n    \n    language\n    \n, \n    \n    \n    last_modified\n    \n as \n    \n    last_modified\n    \n, \n    \n    \n    last_name\n    \n as \n    \n    last_name\n    \n, \n    \n    \n    phone\n    \n as \n    \n    phone\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        directory_id,\n        directory_unsubscribe_date as unsubscribed_from_directory_at,\n        directory_unsubscribed as is_unsubscribed_from_directory,\n        lower(email) as email,\n        lower(email_domain) as email_domain,\n        ext_ref,\n        first_name,\n        last_name,\n        REGEXP_REPLACE(phone, '[^0-9]', '') AS phone, -- remove any non-numeric chars\n        id as contact_id,\n        language,\n        last_modified as last_modified_at,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__question_response": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__question_response", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__question_response.sql", "original_file_path": "models/stg_qualtrics__question_response.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question_response", "fqn": ["qualtrics_source", "stg_qualtrics__question_response"], "alias": "stg_qualtrics__question_response", "checksum": {"name": "sha256", "checksum": "30c4f871c3b5aebedfa5a2d8b2edb0f6d7f9536c180b39c43695476f672a7aea"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Responses to individual questions (and their sub-questions).", "columns": {"_fivetran_id": {"name": "_fivetran_id", "description": "Fivetran-generated unique key hashed on `response_id`, `question_id`, `sub_question_key`, `sub_question_text` , `question_option_key` , `loop_id` and `importId`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "loop_id": {"name": "loop_id", "description": "ID of the [Loop and Merge](https://www.qualtrics.com/support/survey-platform/survey-module/block-options/loop-and-merge/) object this response is associated with.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question": {"name": "question", "description": "Question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_option_key": {"name": "question_option_key", "description": "The key of the `QUESTION_OPTION` that was chosen.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_key": {"name": "sub_question_key", "description": "Key of the sub question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_text": {"name": "sub_question_text", "description": "Sub question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "value": {"name": "value", "description": "Value of the question response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.64856, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_response`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__question_response_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__question_response_tmp')),\n                staging_columns=get_question_response_columns()\n            )\n        }}\n        \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        _fivetran_id,\n        loop_id,\n        question_id,\n        question,\n        question_option_key,\n        response_id,\n        sub_question_key,\n        sub_question_text,\n        value,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__question_response_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__question_response_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_question_response_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_response_tmp", "model.qualtrics_source.stg_qualtrics__question_response_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__question_response.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_response_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_id\n    \n as \n    \n    _fivetran_id\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    loop_id\n    \n as \n    \n    loop_id\n    \n, \n    \n    \n    question\n    \n as \n    \n    question\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    question_option_key\n    \n as \n    \n    question_option_key\n    \n, \n    \n    \n    response_id\n    \n as \n    \n    response_id\n    \n, \n    \n    \n    sub_question_key\n    \n as \n    \n    sub_question_key\n    \n, \n    \n    \n    sub_question_text\n    \n as \n    \n    sub_question_text\n    \n, \n    \n    \n    value\n    \n as \n    \n    value\n    \n\n\n\n        \n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        _fivetran_id,\n        loop_id,\n        question_id,\n        question,\n        question_option_key,\n        response_id,\n        sub_question_key,\n        sub_question_text,\n        value,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__directory": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__directory", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__directory.sql", "original_file_path": "models/stg_qualtrics__directory.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory", "fqn": ["qualtrics_source", "stg_qualtrics__directory"], "alias": "stg_qualtrics__directory", "checksum": {"name": "sha256", "checksum": "46839c63e3b81e0963f546946a4509962c9b1c008bf131e875e0a8fcfe0cd68c"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "A directory is an address book for the entire brand and contains all of the contacts that have been added by your users.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_email": {"name": "is_deduped_on_email", "description": "Boolean representing if directory contacts are deduped based on email.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_ext_ref": {"name": "is_deduped_on_ext_ref", "description": "Boolean representing if directory contacts are deduped based on an external data reference.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_first_name": {"name": "is_deduped_on_first_name", "description": "Boolean representing if directory contacts are deduped based on first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_last_name": {"name": "is_deduped_on_last_name", "description": "Boolean representing if directory contacts are deduped based on last name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_phone": {"name": "is_deduped_on_phone", "description": "Boolean representing if directory contacts are deduped based on phone number.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_default": {"name": "is_default", "description": "Boolean representing if this directory is the default one for your brand. \n\nThe default directory will be the first directory listed in the dropdown menu in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.663415, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__directory_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__directory_tmp')),\n                staging_columns=get_directory_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        deduplication_criteria_email as is_deduped_on_email,\n        deduplication_criteria_external_data_reference as is_deduped_on_ext_ref,\n        deduplication_criteria_first_name as is_deduped_on_first_name,\n        deduplication_criteria_last_name as is_deduped_on_last_name,\n        deduplication_criteria_phone as is_deduped_on_phone,\n        id as directory_id,\n        is_default,\n        name,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        {{ fivetran_utils.fill_pass_through_columns('qualtrics__directory_pass_through_columns') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__directory_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_directory_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_tmp", "model.qualtrics_source.stg_qualtrics__directory_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__directory.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    deduplication_criteria_email\n    \n as \n    \n    deduplication_criteria_email\n    \n, \n    \n    \n    deduplication_criteria_external_data_reference\n    \n as \n    \n    deduplication_criteria_external_data_reference\n    \n, \n    \n    \n    deduplication_criteria_first_name\n    \n as \n    \n    deduplication_criteria_first_name\n    \n, \n    \n    \n    deduplication_criteria_last_name\n    \n as \n    \n    deduplication_criteria_last_name\n    \n, \n    \n    \n    deduplication_criteria_phone\n    \n as \n    \n    deduplication_criteria_phone\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    is_default\n    \n as \n    \n    is_default\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        deduplication_criteria_email as is_deduped_on_email,\n        deduplication_criteria_external_data_reference as is_deduped_on_ext_ref,\n        deduplication_criteria_first_name as is_deduped_on_first_name,\n        deduplication_criteria_last_name as is_deduped_on_last_name,\n        deduplication_criteria_phone as is_deduped_on_phone,\n        id as directory_id,\n        is_default,\n        name,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__distribution_contact": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__distribution_contact", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__distribution_contact.sql", "original_file_path": "models/stg_qualtrics__distribution_contact.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__distribution_contact", "fqn": ["qualtrics_source", "stg_qualtrics__distribution_contact"], "alias": "stg_qualtrics__distribution_contact", "checksum": {"name": "sha256", "checksum": "43831a29ed4b17b822118997dfc126d584a423bd03dd8702f23551e2346f1956"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Table relating contacts to distributions they've been a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_frequency_rule_id": {"name": "contact_frequency_rule_id", "description": "The contact frequency Rule ID. Ex - FQ_AAB234234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_lookup_id": {"name": "contact_lookup_id", "description": "Optional contact lookup ID for individual distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_id": {"name": "distribution_id", "description": "The unique Distribution ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "opened_at": {"name": "opened_at", "description": "The time a survey was opened by the respondent, will be null if the survey has not been opened.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_completed_at": {"name": "response_completed_at", "description": "The time a response was completed, will be null for uncompleted surveys.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The ID of the survey response submitted by this contact. If no survey response has been submitted, this value will be null. If the survey was setup to anonymize responses, then this value will be `Anonymous`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_started_at": {"name": "response_started_at", "description": "The time a response was started by the respondent, will be null if survey has not been started.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sent_at": {"name": "sent_at", "description": "The time a survey was sent to the respondent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "One of:\n- `Pending` - The distribution is scheduled but has yet to be sent.\n- `Success` - The distribution was successfully delivered to the contact.\n- `Error` - An error occurred while attempting to send the distribution.\n- `Opened` - The distribution was opened by the contact.\n- `Complaint` - The contact complained that the distribution was spam.\n- `Skipped` - The contact was skipped due to contact frequency rules or blacklisted contact information.\n- `Blocked` - The distribution failed to send, because the contact blocked it or the email was caught by the spam circuit breaker.\n- `Failure` - The distribution failed to be delivered.\n- `Unknown` - The distribution failed for an unknown reason.\n- `SoftBounce` - The distribution bounced but can be retried.\n- `HardBounce` - The distribution bounced and should not be retried.\n- `SurveyStarted` - The contact started the survey distributed.\n- `SurveyPartiallyFinished` - The contact submitted a partially completed survey response.\n- `SurveyFinished` - The contact submitted a completed survey response.\n- `SurveyScreenedOut` - The contact screened out while taking the survey.\n- `SessionExpired` - The contact's survey session has expired.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link": {"name": "survey_link", "description": "The survey link sent with the distribution. This is null when no link was sent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_session_id": {"name": "survey_session_id", "description": "An identifier that represents the session in which the respondent interacted with the survey", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.673032, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__distribution_contact_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__distribution_contact_tmp')),\n                staging_columns=get_distribution_contact_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        contact_frequency_rule_id,\n        contact_id,\n        contact_lookup_id,\n        distribution_id,\n        opened_at,\n        response_completed_at,\n        response_id,\n        response_started_at,\n        sent_at,\n        status,\n        survey_link,\n        survey_session_id,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution_contact_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_contact_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_distribution_contact_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution_contact_tmp", "model.qualtrics_source.stg_qualtrics__distribution_contact_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__distribution_contact.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution_contact_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    contact_frequency_rule_id\n    \n as \n    \n    contact_frequency_rule_id\n    \n, \n    \n    \n    contact_id\n    \n as \n    \n    contact_id\n    \n, \n    \n    \n    contact_lookup_id\n    \n as \n    \n    contact_lookup_id\n    \n, \n    \n    \n    distribution_id\n    \n as \n    \n    distribution_id\n    \n, \n    \n    \n    opened_at\n    \n as \n    \n    opened_at\n    \n, \n    \n    \n    response_completed_at\n    \n as \n    \n    response_completed_at\n    \n, \n    \n    \n    response_id\n    \n as \n    \n    response_id\n    \n, \n    \n    \n    response_started_at\n    \n as \n    \n    response_started_at\n    \n, \n    \n    \n    sent_at\n    \n as \n    \n    sent_at\n    \n, \n    \n    \n    status\n    \n as \n    \n    status\n    \n, \n    \n    \n    survey_link\n    \n as \n    \n    survey_link\n    \n, \n    \n    \n    survey_session_id\n    \n as \n    \n    survey_session_id\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        contact_frequency_rule_id,\n        contact_id,\n        contact_lookup_id,\n        distribution_id,\n        opened_at,\n        response_completed_at,\n        response_id,\n        response_started_at,\n        sent_at,\n        status,\n        survey_link,\n        survey_session_id,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__block": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__block", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__block.sql", "original_file_path": "models/stg_qualtrics__block.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__block", "fqn": ["qualtrics_source", "stg_qualtrics__block"], "alias": "stg_qualtrics__block", "checksum": {"name": "sha256", "checksum": "cd863a598c429db991f7b567006b2b67b9308f85076e6fefe77b1f89355f1c1b"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Groups of questions, used to organize longer surveys and conditionally display sets of questions.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_locked": {"name": "is_locked", "description": "Boolean representing whether modification of the block and its contents is prevented.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_visibility": {"name": "block_visibility", "description": "Whether the questions in the block are 'collapsed' or 'expanded' by default.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "description": {"name": "description", "description": "Description given to the block.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_id": {"name": "block_id", "description": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "randomize_questions": {"name": "randomize_questions", "description": "If/how the block questions are randomized. Can be - `false` (no randomization), `RandomWithXPerPage` (randomize all and place X questions in each block), `RandomWithOnlyX` (randomly present only X out of the total questions), or `Advanced` (custom configuration)", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "Type of block. Can be `Trash`, `Default`, or `Standard`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.660182, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__block_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__block_tmp')),\n                staging_columns=get_block_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n    \n    select \n        block_locking as is_locked,\n        block_visibility,\n        description,\n        id as block_id,\n        randomize_questions,\n        survey_id,\n        type,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__block_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__block_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_block_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__block_tmp", "model.qualtrics_source.stg_qualtrics__block_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__block.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    block_locking\n    \n as \n    \n    block_locking\n    \n, \n    \n    \n    block_visibility\n    \n as \n    \n    block_visibility\n    \n, \n    \n    \n    description\n    \n as \n    \n    description\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    randomize_questions\n    \n as \n    \n    randomize_questions\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    type\n    \n as \n    \n    type\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n    \n    select \n        block_locking as is_locked,\n        block_visibility,\n        description,\n        id as block_id,\n        randomize_questions,\n        survey_id,\n        type,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__distribution": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__distribution", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__distribution.sql", "original_file_path": "models/stg_qualtrics__distribution.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__distribution", "fqn": ["qualtrics_source", "stg_qualtrics__distribution"], "alias": "stg_qualtrics__distribution", "checksum": {"name": "sha256", "checksum": "1c61ecfd6be931c2863784850e21210658b1e777308ae51e84c4e41d737d9f5c"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Use distributions to reach out to contacts in the XM Directory platform, with or without a survey attached.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_email": {"name": "header_from_email", "description": "Email from address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_name": {"name": "header_from_name", "description": "Email from name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_reply_to_email": {"name": "header_reply_to_email", "description": "Email reply-to address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_subject": {"name": "header_subject", "description": "Email subject; text or message id (MS_).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_id": {"name": "distribution_id", "description": "The unique Distribution ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_library_id": {"name": "message_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_id": {"name": "message_id", "description": "The ID for the desired library message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_text": {"name": "message_text", "description": "Text of the message to send.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "organization_id": {"name": "organization_id", "description": "ID of the organization/brand this record belongs to.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "parent_distribution_id": {"name": "parent_distribution_id", "description": "The unique ID of the parent distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_contact_id": {"name": "recipient_contact_id", "description": "The contact ID of the recipient. Can point to `directory_contact` or `core_contact`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_library_id": {"name": "recipient_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_mailing_list_id": {"name": "recipient_mailing_list_id", "description": "The mailing list or contact group associated with the distribution(s). Can point to `directory_mailing_list` or `core_mailing_list`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_sample_id": {"name": "recipient_sample_id", "description": "The ID for the desired sample. Can point to `directory_sample` or `core_sample` (not included in package).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_status": {"name": "request_status", "description": "The distribution's status. States include `Pending` and `Done`. The Pending state is for email that is scheduled to be sent at a later time.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_type": {"name": "request_type", "description": "The distribution's type. Types include `Invite`, `Reminder`, and `ThankYou`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "send_at": {"name": "send_at", "description": "The date and time the request will be or was sent (in ISO 8601 format). Note that this date and time could be in the future if the email distribution is scheduled to send after a delay.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_expires_at": {"name": "survey_link_expires_at", "description": "The expiration date for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_type": {"name": "survey_link_type", "description": "The link type (`Individual`, `Anonymous`, or `Multiple`) for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique survey ID. Will be non-null even if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.670544, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__distribution_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__distribution_tmp')),\n                staging_columns=get_distribution_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        created_date as created_at,\n        header_from_email,\n        header_from_name,\n        header_reply_to_email,\n        header_subject,\n        id as distribution_id,\n        message_library_id,\n        message_message_id as message_id,\n        message_message_text as message_text,\n        modified_date as last_modified_at,\n        organization_id,\n        owner_id as owner_user_id,\n        parent_distribution_id,\n        recipient_contact_id,\n        recipient_library_id,\n        recipient_mailing_list_id,\n        recipient_sample_id,\n        request_status,\n        request_type,\n        send_date as send_at,\n        survey_link_expiration_date as survey_link_expires_at,\n        survey_link_link_type as survey_link_type,\n        survey_link_survey_id as survey_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        {{ fivetran_utils.fill_pass_through_columns('qualtrics__distribution_pass_through_columns') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_distribution_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution_tmp", "model.qualtrics_source.stg_qualtrics__distribution_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__distribution.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    created_date\n    \n as \n    \n    created_date\n    \n, \n    \n    \n    header_from_email\n    \n as \n    \n    header_from_email\n    \n, \n    \n    \n    header_from_name\n    \n as \n    \n    header_from_name\n    \n, \n    \n    \n    header_reply_to_email\n    \n as \n    \n    header_reply_to_email\n    \n, \n    \n    \n    header_subject\n    \n as \n    \n    header_subject\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    message_library_id\n    \n as \n    \n    message_library_id\n    \n, \n    \n    \n    message_message_id\n    \n as \n    \n    message_message_id\n    \n, \n    \n    \n    message_message_text\n    \n as \n    \n    message_message_text\n    \n, \n    \n    \n    modified_date\n    \n as \n    \n    modified_date\n    \n, \n    \n    \n    organization_id\n    \n as \n    \n    organization_id\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n, \n    \n    \n    parent_distribution_id\n    \n as \n    \n    parent_distribution_id\n    \n, \n    \n    \n    recipient_contact_id\n    \n as \n    \n    recipient_contact_id\n    \n, \n    \n    \n    recipient_library_id\n    \n as \n    \n    recipient_library_id\n    \n, \n    \n    \n    recipient_mailing_list_id\n    \n as \n    \n    recipient_mailing_list_id\n    \n, \n    \n    \n    recipient_sample_id\n    \n as \n    \n    recipient_sample_id\n    \n, \n    \n    \n    request_status\n    \n as \n    \n    request_status\n    \n, \n    \n    \n    request_type\n    \n as \n    \n    request_type\n    \n, \n    \n    \n    send_date\n    \n as \n    \n    send_date\n    \n, \n    \n    \n    survey_link_expiration_date\n    \n as \n    \n    survey_link_expiration_date\n    \n, \n    \n    \n    survey_link_link_type\n    \n as \n    \n    survey_link_link_type\n    \n, \n    \n    \n    survey_link_survey_id\n    \n as \n    \n    survey_link_survey_id\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        created_date as created_at,\n        header_from_email,\n        header_from_name,\n        header_reply_to_email,\n        header_subject,\n        id as distribution_id,\n        message_library_id,\n        message_message_id as message_id,\n        message_message_text as message_text,\n        modified_date as last_modified_at,\n        organization_id,\n        owner_id as owner_user_id,\n        parent_distribution_id,\n        recipient_contact_id,\n        recipient_library_id,\n        recipient_mailing_list_id,\n        recipient_sample_id,\n        request_status,\n        request_type,\n        send_date as send_at,\n        survey_link_expiration_date as survey_link_expires_at,\n        survey_link_link_type as survey_link_type,\n        survey_link_survey_id as survey_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__core_contact": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__core_contact", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__core_contact.sql", "original_file_path": "models/stg_qualtrics__core_contact.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__core_contact", "fqn": ["qualtrics_source", "stg_qualtrics__core_contact"], "alias": "stg_qualtrics__core_contact", "checksum": {"name": "sha256", "checksum": "0d7c4b22f30fd1570c3c8a6f70369361624bf7267c54569e6c2c960fbaa5d1ad"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Research Core contacts (non-XM directory).", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "Mailing List Contact ID (different from `contact_id`). ex: `MLRP_*`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "Contact's email address. Must be in proper email format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "external_data_reference": {"name": "external_data_reference", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_unsubscribed": {"name": "is_unsubscribed", "description": "Boolean indicating if the user unsubscribed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email_domain": {"name": "email_domain", "description": "Domain of the contact's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table", "enabled": true}, "created_at": 1690564820.6787462, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_contact`", "raw_code": "{{ config(enabled=var('qualtrics__using_core_contacts', false)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_qualtrics__core_contact_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__core_contact_tmp')),\n                staging_columns=get_core_contact_columns()\n            )\n        }}\n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as contact_id,\n        mailing_list_id,\n        first_name,\n        last_name,\n        lower(email) as email,\n        {{ dbt.split_part('email', \"'@'\", 2) }} as email_domain,\n        external_data_reference,\n        language,\n        unsubscribed as is_unsubscribed,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        {{ fivetran_utils.fill_pass_through_columns('qualtrics__core_contact_pass_through_columns') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__core_contact_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__core_contact_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_core_contact_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.dbt.split_part", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__core_contact_tmp", "model.qualtrics_source.stg_qualtrics__core_contact_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__core_contact.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_contact_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    mailing_list_id\n    \n as \n    \n    mailing_list_id\n    \n, \n    \n    \n    first_name\n    \n as \n    \n    first_name\n    \n, \n    \n    \n    last_name\n    \n as \n    \n    last_name\n    \n, \n    \n    \n    email\n    \n as \n    \n    email\n    \n, \n    \n    \n    external_data_reference\n    \n as \n    \n    external_data_reference\n    \n, \n    \n    \n    language\n    \n as \n    \n    language\n    \n, \n    \n    \n    unsubscribed\n    \n as \n    \n    unsubscribed\n    \n, \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n\n\n\n    \n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as contact_id,\n        mailing_list_id,\n        first_name,\n        last_name,\n        lower(email) as email,\n        \n\n  \n    split(\n        email,\n        '@'\n        )[safe_offset(1)]\n  \n\n as email_domain,\n        external_data_reference,\n        language,\n        unsubscribed as is_unsubscribed,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__survey_embedded_data": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__survey_embedded_data", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__survey_embedded_data.sql", "original_file_path": "models/stg_qualtrics__survey_embedded_data.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_embedded_data", "fqn": ["qualtrics_source", "stg_qualtrics__survey_embedded_data"], "alias": "stg_qualtrics__survey_embedded_data", "checksum": {"name": "sha256", "checksum": "f414470a3eeb52358ba7caf772f85b20b103f04e906d338f81985ec0892d14ac"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Any extra information you would like recorded in addition to the question responses.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "import_id": {"name": "import_id", "description": "A unique identifier to recognize this import job of embedded survey data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "Key of the embedded survey data element.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "value": {"name": "value", "description": "Key of the embedded survey data element.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.658311, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__survey_embedded_data_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__survey_embedded_data_tmp')),\n                staging_columns=get_survey_embedded_data_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        import_id,\n        key,\n        response_id,\n        value,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_embedded_data_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__survey_embedded_data_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_survey_embedded_data_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_embedded_data_tmp", "model.qualtrics_source.stg_qualtrics__survey_embedded_data_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__survey_embedded_data.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    import_id\n    \n as \n    \n    import_id\n    \n, \n    \n    \n    key\n    \n as \n    \n    key\n    \n, \n    \n    \n    response_id\n    \n as \n    \n    response_id\n    \n, \n    \n    \n    value\n    \n as \n    \n    value\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        import_id,\n        key,\n        response_id,\n        value,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__survey_response": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__survey_response", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__survey_response.sql", "original_file_path": "models/stg_qualtrics__survey_response.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_response", "fqn": ["qualtrics_source", "stg_qualtrics__survey_response"], "alias": "stg_qualtrics__survey_response", "checksum": {"name": "sha256", "checksum": "55557fd0cd25fc738d8a4b58cae78c99831e4236ac236519b76e87db4b72c518"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Individual responses to surveys. A response becomes \"recorded\" when a respondent submits a survey,  a survey is manually closed from the Responses in Progress page, or a survey session expires.\n", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_channel": {"name": "distribution_channel", "description": "The method by which the survey was distributed to respondents.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "duration_in_seconds": {"name": "duration_in_seconds", "description": "How long it took for the respondent to finish the survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "finished_at": {"name": "finished_at", "description": "The point in time when the survey response was finished.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_finished": {"name": "is_finished", "description": "Boolean (stored as int) indicating if the respondent finished and submitted the survey, the value will be 1, otherwise it will be 0.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ip_address": {"name": "ip_address", "description": "IP address of the recipient.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_latitude": {"name": "location_latitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_longitude": {"name": "location_longitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "progress": {"name": "progress", "description": "How far the respondent has progressed through the survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_email": {"name": "recipient_email", "description": "Email of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_first_name": {"name": "recipient_first_name", "description": "First name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_last_name": {"name": "recipient_last_name", "description": "Last name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recorded_date": {"name": "recorded_date", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "started_at": {"name": "started_at", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The type of response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_language": {"name": "user_language", "description": "The language of the respondent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.653527, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_response`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__survey_response_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__survey_response_tmp')),\n                staging_columns=get_survey_response_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        distribution_channel,\n        duration_in_seconds,\n        end_date as finished_at,\n        cast(finished as {{ dbt.type_boolean() }}) as is_finished,\n        id as response_id,\n        ip_address,\n        last_modified_date as last_modified_at,\n        location_latitude,\n        location_longitude,\n        progress,\n        lower(recipient_email) as recipient_email,\n        recipient_first_name,\n        recipient_last_name,\n        recorded_date,\n        start_date as started_at,\n        status,\n        survey_id,\n        user_language,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_response_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__survey_response_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_survey_response_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.dbt.type_boolean"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_response_tmp", "model.qualtrics_source.stg_qualtrics__survey_response_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__survey_response.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_response_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    distribution_channel\n    \n as \n    \n    distribution_channel\n    \n, \n    \n    \n    duration_in_seconds\n    \n as \n    \n    duration_in_seconds\n    \n, \n    \n    \n    end_date\n    \n as \n    \n    end_date\n    \n, \n    \n    \n    finished\n    \n as \n    \n    finished\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    ip_address\n    \n as \n    \n    ip_address\n    \n, \n    \n    \n    last_modified_date\n    \n as \n    \n    last_modified_date\n    \n, \n    \n    \n    location_latitude\n    \n as \n    \n    location_latitude\n    \n, \n    \n    \n    location_longitude\n    \n as \n    \n    location_longitude\n    \n, \n    \n    \n    progress\n    \n as \n    \n    progress\n    \n, \n    \n    \n    recipient_email\n    \n as \n    \n    recipient_email\n    \n, \n    \n    \n    recipient_first_name\n    \n as \n    \n    recipient_first_name\n    \n, \n    \n    \n    recipient_last_name\n    \n as \n    \n    recipient_last_name\n    \n, \n    \n    \n    recorded_date\n    \n as \n    \n    recorded_date\n    \n, \n    \n    \n    start_date\n    \n as \n    \n    start_date\n    \n, \n    \n    \n    status\n    \n as \n    \n    status\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    user_language\n    \n as \n    \n    user_language\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        distribution_channel,\n        duration_in_seconds,\n        end_date as finished_at,\n        cast(finished as BOOLEAN) as is_finished,\n        id as response_id,\n        ip_address,\n        last_modified_date as last_modified_at,\n        location_latitude,\n        location_longitude,\n        progress,\n        lower(recipient_email) as recipient_email,\n        recipient_first_name,\n        recipient_last_name,\n        recorded_date,\n        start_date as started_at,\n        status,\n        survey_id,\n        user_language,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__user": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__user", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__user.sql", "original_file_path": "models/stg_qualtrics__user.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__user", "fqn": ["qualtrics_source", "stg_qualtrics__user"], "alias": "stg_qualtrics__user", "checksum": {"name": "sha256", "checksum": "c9c65fd414094ad26ec2656131a61ae43c685ff064cf372e95d13d183f1e9dff"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "These are the users in your organizations, not the contacts for whom you are building content like surveys and messages.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_created_at": {"name": "account_created_at", "description": "The date and time that the account was created. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_expires_at": {"name": "account_expires_at", "description": "The date the account expires. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_status": {"name": "account_status", "description": "Either `active`, `disabled`, or `notVerified`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "division_id": {"name": "division_id", "description": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "The user's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "The user's first name or given name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_id": {"name": "user_id", "description": "Unique ID of the user. Match pattern  = ^((UR)|(URH))_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_login_at": {"name": "last_login_at", "description": "The date and time the user last logged into the user interface. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "User's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "organization_id": {"name": "organization_id", "description": "ID of the organization/brand this record belongs to.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "password_expires_at": {"name": "password_expires_at", "description": "The date the account password expires. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "password_last_changed_at": {"name": "password_last_changed_at", "description": "The date the account password was last changed. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_auditable": {"name": "response_count_auditable", "description": "The count of auditable responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_deleted": {"name": "response_count_deleted", "description": "The count of deleted responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_generated": {"name": "response_count_generated", "description": "The count of generated responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "time_zone": {"name": "time_zone", "description": "The IANA time zone setting for the user.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_unsubscribed": {"name": "is_unsubscribed", "description": "Boolean indicating if the user unsubscribed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_type": {"name": "user_type", "description": "ID of the user type. See mappings of user types to their type IDs [here](https://api.qualtrics.com/dc2be1c61af61-user-type).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "username": {"name": "username", "description": "UI-facing username for the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.638653, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__user`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__user_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__user_tmp')),\n                staging_columns=get_user_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        account_creation_date as account_created_at,\n        account_expiration_date as account_expires_at,\n        account_status,\n        division_id,\n        email,\n        first_name,\n        id as user_id,\n        language,\n        last_login_date as last_login_at,\n        last_name,\n        organization_id,\n        password_expiration_date as password_expires_at,\n        password_last_changed_date as password_last_changed_at,\n        response_count_auditable,\n        response_count_deleted,\n        response_count_generated,\n        time_zone,\n        unsubscribed as is_unsubscribed,\n        user_type,\n        username,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__user_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__user_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_user_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__user_tmp", "model.qualtrics_source.stg_qualtrics__user_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__user.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__user_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    account_creation_date\n    \n as \n    \n    account_creation_date\n    \n, \n    \n    \n    account_expiration_date\n    \n as \n    \n    account_expiration_date\n    \n, \n    \n    \n    account_status\n    \n as \n    \n    account_status\n    \n, \n    \n    \n    division_id\n    \n as \n    \n    division_id\n    \n, \n    \n    \n    email\n    \n as \n    \n    email\n    \n, \n    \n    \n    first_name\n    \n as \n    \n    first_name\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    language\n    \n as \n    \n    language\n    \n, \n    \n    \n    last_login_date\n    \n as \n    \n    last_login_date\n    \n, \n    \n    \n    last_name\n    \n as \n    \n    last_name\n    \n, \n    \n    \n    organization_id\n    \n as \n    \n    organization_id\n    \n, \n    \n    \n    password_expiration_date\n    \n as \n    \n    password_expiration_date\n    \n, \n    \n    \n    password_last_changed_date\n    \n as \n    \n    password_last_changed_date\n    \n, \n    \n    \n    response_count_auditable\n    \n as \n    \n    response_count_auditable\n    \n, \n    \n    \n    response_count_deleted\n    \n as \n    \n    response_count_deleted\n    \n, \n    \n    \n    response_count_generated\n    \n as \n    \n    response_count_generated\n    \n, \n    \n    \n    time_zone\n    \n as \n    \n    time_zone\n    \n, \n    \n    \n    unsubscribed\n    \n as \n    \n    unsubscribed\n    \n, \n    \n    \n    user_type\n    \n as \n    \n    user_type\n    \n, \n    \n    \n    username\n    \n as \n    \n    username\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        account_creation_date as account_created_at,\n        account_expiration_date as account_expires_at,\n        account_status,\n        division_id,\n        email,\n        first_name,\n        id as user_id,\n        language,\n        last_login_date as last_login_at,\n        last_name,\n        organization_id,\n        password_expiration_date as password_expires_at,\n        password_last_changed_date as password_last_changed_at,\n        response_count_auditable,\n        response_count_deleted,\n        response_count_generated,\n        time_zone,\n        unsubscribed as is_unsubscribed,\n        user_type,\n        username,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__core_mailing_list": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__core_mailing_list", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__core_mailing_list.sql", "original_file_path": "models/stg_qualtrics__core_mailing_list.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__core_mailing_list", "fqn": ["qualtrics_source", "stg_qualtrics__core_mailing_list"], "alias": "stg_qualtrics__core_mailing_list", "checksum": {"name": "sha256", "checksum": "c17c8dbc0801d75d8438170c71c21cba126d2dbb28fcf278d776b6b8cd2fbe81"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Research Core mailing list (non xm-directory).", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "library_id": {"name": "library_id", "description": "The library ID. Example: `UR_1234567890AbCdE`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "category": {"name": "category", "description": "The library ID. Example: `UR_1234567890AbCdE`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "folder": {"name": "folder", "description": "The folder this is placed in.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table", "enabled": true}, "created_at": 1690564820.68034, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`", "raw_code": "{{ config(enabled=var('qualtrics__using_core_mailing_lists', false)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_qualtrics__core_mailing_list_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__core_mailing_list_tmp')),\n                staging_columns=get_core_mailing_list_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as mailing_list_id,\n        library_id,\n        name,\n        category,\n        folder,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__core_mailing_list_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__core_mailing_list_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_core_mailing_list_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__core_mailing_list_tmp", "model.qualtrics_source.stg_qualtrics__core_mailing_list_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__core_mailing_list.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    library_id\n    \n as \n    \n    library_id\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    category\n    \n as \n    \n    category\n    \n, \n    \n    \n    folder\n    \n as \n    \n    folder\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as mailing_list_id,\n        library_id,\n        name,\n        category,\n        folder,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__question": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__question", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__question.sql", "original_file_path": "models/stg_qualtrics__question.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question", "fqn": ["qualtrics_source", "stg_qualtrics__question"], "alias": "stg_qualtrics__question", "checksum": {"name": "sha256", "checksum": "ec8c895c4dbafa5d536bcc7713eb26f718794c2052787ed2284fa23cb25f72ee"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Questions within a survey.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "data_export_tag": {"name": "data_export_tag", "description": "The tag to identify the question in exported data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_data_hidden": {"name": "is_data_hidden", "description": "Boolean that represents whether the embedded data is hidden.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_data_private": {"name": "is_data_private", "description": "Boolean that represents whether the embedded data is private.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "next_answer_id": {"name": "next_answer_id", "description": "For Matrix questions, the vertical options are denoted as \"Answers\" in the question's structure. \nID of the next answer for this question. ?", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "next_choice_id": {"name": "next_choice_id", "description": "For Matrix questions, the horizontal options are denoted as \"Choices\" in the question's structure. \n\nID of the next choice for this question. ?", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_description": {"name": "question_description", "description": "Label to identify the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_description_option": {"name": "question_description_option", "description": "An optional user-provided field for question descriptions. Accepted values = `UseText`, `SpecifyLabel`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_text": {"name": "question_text", "description": "Text for the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_text_unsafe": {"name": "question_text_unsafe", "description": "Un-paresed version of the question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_type": {"name": "question_type", "description": "The type of question. Can be -\n`MC`,`Matrix`,`Captcha`,`CS`,`DB`,`DD`,`Draw`,`DynamicMatrix`,`FileUpload`,`GAP`,`HeatMap`,`HL`,`HotSpot`,`Meta`,`PGR`,`RO`,`SBS`,`Slider`,`SS`,`TE`,`Timing`,`TreeSelect`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "selector": {"name": "selector", "description": "How answers are selected such as single answer, multiple answer, etc. Accepted values - \n- `Bipolar`\n- `Browser`\n- `Captcha`\n- `CompactView`\n- `CS`\n- `D`\n- `DL`\n- `DND`\n- `DragAndDrop`\n- `ESTB`\n- `FORM`\n- `FileUpload`\n- `GRB`\n- `HBAR`\n- `HR`\n- `HSLIDER`\n- `I`\n- `Image`\n- `LikeDislike`\n- `Likert`\n- `MACOL`\n- `MAHR`\n- `MAVR`\n- `ML`\n- `MSB`\n- `MaxDiff`\n- `NPS`\n- `OH`\n- `OnOff`\n- `POS`\n- `PTB`\n- `PW`\n- `PageTimer`\n- `Profile`\n- `RB`\n- `RO`\n- `SACOL`\n- `SAHR`\n- `SAVR`\n- `SB`\n- `SBSMatrix`\n- `SL`\n- `STAR`\n- `ScreenCapture`\n- `SearchOnly`\n- `Signature`\n- `TA`\n- `TB`\n- `TBelow`\n- `TE`\n- `TL`\n- `TRight`\n- `Text`\n- `V1`\n- `V2`\n- `VR`\n- `VRTL`\n- `WTXB`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_selector": {"name": "sub_selector", "description": "How subquestion answers are selected. Allowed values - SingleAnswer, DL, GR, DND, Long, Medium, MultipleAnswer, Columns, NoColumns, Short, TX, TXOT, WOTXB, WOTB, WTB, WTXB, WVTB.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response": {"name": "validation_setting_force_response", "description": "The response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response_type": {"name": "validation_setting_force_response_type", "description": "The type of response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_type": {"name": "validation_setting_type", "description": "The type of forced response validation that is set.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.646521, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__question_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__question_tmp')),\n                staging_columns=get_question_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        data_export_tag,\n        data_visibility_hidden as is_data_hidden,\n        data_visibility_private as is_data_private,\n        id as question_id,\n        next_answer_id,\n        next_choice_id,\n        question_description,\n        question_description_option,\n        question_text,\n        question_text_unsafe,\n        question_type,\n        selector,\n        sub_selector,\n        survey_id,\n        validation_setting_force_response,\n        validation_setting_force_response_type,\n        validation_setting_type,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__question_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__question_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_question_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_tmp", "model.qualtrics_source.stg_qualtrics__question_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__question.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    data_export_tag\n    \n as \n    \n    data_export_tag\n    \n, \n    \n    \n    data_visibility_hidden\n    \n as \n    \n    data_visibility_hidden\n    \n, \n    \n    \n    data_visibility_private\n    \n as \n    \n    data_visibility_private\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    next_answer_id\n    \n as \n    \n    next_answer_id\n    \n, \n    \n    \n    next_choice_id\n    \n as \n    \n    next_choice_id\n    \n, \n    \n    \n    question_description\n    \n as \n    \n    question_description\n    \n, \n    \n    \n    question_description_option\n    \n as \n    \n    question_description_option\n    \n, \n    \n    \n    question_text\n    \n as \n    \n    question_text\n    \n, \n    \n    \n    question_text_unsafe\n    \n as \n    \n    question_text_unsafe\n    \n, \n    \n    \n    question_type\n    \n as \n    \n    question_type\n    \n, \n    \n    \n    selector\n    \n as \n    \n    selector\n    \n, \n    \n    \n    sub_selector\n    \n as \n    \n    sub_selector\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    validation_setting_force_response\n    \n as \n    \n    validation_setting_force_response\n    \n, \n    \n    \n    validation_setting_force_response_type\n    \n as \n    \n    validation_setting_force_response_type\n    \n, \n    \n    \n    validation_setting_type\n    \n as \n    \n    validation_setting_type\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        data_export_tag,\n        data_visibility_hidden as is_data_hidden,\n        data_visibility_private as is_data_private,\n        id as question_id,\n        next_answer_id,\n        next_choice_id,\n        question_description,\n        question_description_option,\n        question_text,\n        question_text_unsafe,\n        question_type,\n        selector,\n        sub_selector,\n        survey_id,\n        validation_setting_force_response,\n        validation_setting_force_response_type,\n        validation_setting_type,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__sub_question": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__sub_question", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__sub_question.sql", "original_file_path": "models/stg_qualtrics__sub_question.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__sub_question", "fqn": ["qualtrics_source", "stg_qualtrics__sub_question"], "alias": "stg_qualtrics__sub_question", "checksum": {"name": "sha256", "checksum": "7b5cd7b6b1d8254e2ef3ff2225d359996599511285af6ab50757b06655f39164"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Sub-questions of questions.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "choice_data_export_tag": {"name": "choice_data_export_tag", "description": "The tag to identify the question choice in exported data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "Key of the sub question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "text": {"name": "text", "description": "Sub question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.655085, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__sub_question`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__sub_question_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__sub_question_tmp')),\n                staging_columns=get_sub_question_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        choice_data_export_tag,\n        key,\n        question_id,\n        survey_id,\n        text,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__sub_question_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__sub_question_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_sub_question_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__sub_question_tmp", "model.qualtrics_source.stg_qualtrics__sub_question_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__sub_question.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__sub_question_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    choice_data_export_tag\n    \n as \n    \n    choice_data_export_tag\n    \n, \n    \n    \n    key\n    \n as \n    \n    key\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    text\n    \n as \n    \n    text\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        choice_data_export_tag,\n        key,\n        question_id,\n        survey_id,\n        text,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__survey_version": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__survey_version", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__survey_version.sql", "original_file_path": "models/stg_qualtrics__survey_version.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_version", "fqn": ["qualtrics_source", "stg_qualtrics__survey_version"], "alias": "stg_qualtrics__survey_version", "checksum": {"name": "sha256", "checksum": "a3a54dc6ed9c6add80097add9e71e1ecefece5245116d51518c94546864b39a0"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Published and un-published versions of surveys.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_description": {"name": "version_description", "description": "A user-provided description of the survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_id": {"name": "version_id", "description": "The unique identifier for this survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_published": {"name": "is_published", "description": "Boolean that, when true, publishes the version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "publisher_user_id": {"name": "publisher_user_id", "description": "ID of `USER` who published this survey version in your org.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_number": {"name": "version_number", "description": "The version number of this survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "was_published": {"name": "was_published", "description": "Boolean that is true if the survey version was published.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.657034, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_version`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__survey_version_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__survey_version_tmp')),\n                staging_columns=get_survey_version_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        description as version_description,\n        id as version_id,\n        published as is_published,\n        survey_id,\n        user_id as publisher_user_id,\n        version_number,\n        was_published,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_version_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__survey_version_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_survey_version_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_version_tmp", "model.qualtrics_source.stg_qualtrics__survey_version_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__survey_version.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_version_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    creation_date\n    \n as \n    \n    creation_date\n    \n, \n    \n    \n    description\n    \n as \n    \n    description\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    published\n    \n as \n    \n    published\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    user_id\n    \n as \n    \n    user_id\n    \n, \n    \n    \n    version_number\n    \n as \n    \n    version_number\n    \n, \n    \n    \n    was_published\n    \n as \n    \n    was_published\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        description as version_description,\n        id as version_id,\n        published as is_published,\n        survey_id,\n        user_id as publisher_user_id,\n        version_number,\n        was_published,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__directory_mailing_list": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__directory_mailing_list", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__directory_mailing_list.sql", "original_file_path": "models/stg_qualtrics__directory_mailing_list.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory_mailing_list", "fqn": ["qualtrics_source", "stg_qualtrics__directory_mailing_list"], "alias": "stg_qualtrics__directory_mailing_list", "checksum": {"name": "sha256", "checksum": "fec96d36f7c44669c45e200213247401f8426f3b625f96cdf2119ebb077f3eb3"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Mailing lists are lists of contacts that can receive emails and survey invitations. You can create mailing lists either through file upload or manually.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1690564820.674678, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__directory_mailing_list_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__directory_mailing_list_tmp')),\n                staging_columns=get_directory_mailing_list_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        directory_id,\n        id as mailing_list_id,\n        last_modified_date as last_modified_at,\n        name,\n        owner_id as owner_user_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_mailing_list_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__directory_mailing_list_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_directory_mailing_list_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_mailing_list_tmp", "model.qualtrics_source.stg_qualtrics__directory_mailing_list_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__directory_mailing_list.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    creation_date\n    \n as \n    \n    creation_date\n    \n, \n    \n    \n    directory_id\n    \n as \n    \n    directory_id\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    last_modified_date\n    \n as \n    \n    last_modified_date\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n\n\n\n\n        \n\n\n, cast('' as STRING) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        directory_id,\n        id as mailing_list_id,\n        last_modified_date as last_modified_at,\n        name,\n        owner_id as owner_user_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__directory_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__directory_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__directory_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__directory_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__directory_tmp"], "alias": "stg_qualtrics__directory_tmp", "checksum": {"name": "sha256", "checksum": "4b3ca7ae5e5b4cf6204f4dafaf2218823498901d5d2354deaaf33b77f72e8ef1"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.358892, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='directory', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='directory',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "directory"], ["qualtrics", "directory"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.directory", "source.qualtrics_source.qualtrics.directory"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__directory_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`directory`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__question_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__question_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__question_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__question_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__question_tmp"], "alias": "stg_qualtrics__question_tmp", "checksum": {"name": "sha256", "checksum": "ed11295b4e9d0a28951ddf5a65d957af91c50eef5fc16b8f9f635effb3459fa7"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.377614, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='question', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='question',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "question"], ["qualtrics", "question"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.question", "source.qualtrics_source.qualtrics.question"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__question_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`question`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__question_option_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__question_option_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__question_option_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__question_option_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question_option_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__question_option_tmp"], "alias": "stg_qualtrics__question_option_tmp", "checksum": {"name": "sha256", "checksum": "c61331fb87b4a42e950006a3c7ff7b2e5e138de5f8f572e6bb1af3899160e97b"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.382111, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_option_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='question_option', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='question_option',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "question_option"], ["qualtrics", "question_option"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.question_option", "source.qualtrics_source.qualtrics.question_option"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__question_option_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`question_option`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__distribution_contact_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__distribution_contact_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__distribution_contact_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__distribution_contact_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__distribution_contact_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__distribution_contact_tmp"], "alias": "stg_qualtrics__distribution_contact_tmp", "checksum": {"name": "sha256", "checksum": "7b4914cb30b388e7eb0fdc4e0c3314306dd19c8103f0fa51250e462f368653c5"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.386178, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution_contact_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='distribution_contact', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='distribution_contact',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "distribution_contact"], ["qualtrics", "distribution_contact"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.distribution_contact", "source.qualtrics_source.qualtrics.distribution_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__distribution_contact_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`distribution_contact`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__core_mailing_list_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__core_mailing_list_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__core_mailing_list_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__core_mailing_list_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__core_mailing_list_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__core_mailing_list_tmp"], "alias": "stg_qualtrics__core_mailing_list_tmp", "checksum": {"name": "sha256", "checksum": "c8175db977b8eedb2f1ce4e55eacaf9b402b5866227dff4943d4e69f666f57c9"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view", "enabled": true}, "created_at": 1690564820.390074, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list_tmp`", "raw_code": "{{ config(enabled=var('qualtrics__using_core_mailing_lists', false)) }}\n-- can disable\n{{\n    fivetran_utils.union_data(\n        table_identifier='core_mailing_list', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='core_mailing_list',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "core_mailing_list"], ["qualtrics", "core_mailing_list"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.core_mailing_list", "source.qualtrics_source.qualtrics.core_mailing_list"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__core_mailing_list_tmp.sql", "compiled": true, "compiled_code": "\n-- can disable\n\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`core_mailing_list`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__survey_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__survey_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__survey_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__survey_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__survey_tmp"], "alias": "stg_qualtrics__survey_tmp", "checksum": {"name": "sha256", "checksum": "12ed41a2542f0bb532da7e4b1c3f286208d64e8c03b844dd8fd988aba3bc00cb"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.394259, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='survey', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='survey',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "survey"], ["qualtrics", "survey"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.survey", "source.qualtrics_source.qualtrics.survey"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__survey_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`survey`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__contact_mailing_list_membership_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__contact_mailing_list_membership_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__contact_mailing_list_membership_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__contact_mailing_list_membership_tmp"], "alias": "stg_qualtrics__contact_mailing_list_membership_tmp", "checksum": {"name": "sha256", "checksum": "a464f668cf8d5bc468086e33aedf9b3b3acf48d3aa1464665853720f10c615f4"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.398269, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='contact_mailing_list_membership', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='contact_mailing_list_membership',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "contact_mailing_list_membership"], ["qualtrics", "contact_mailing_list_membership"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.contact_mailing_list_membership", "source.qualtrics_source.qualtrics.contact_mailing_list_membership"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__contact_mailing_list_membership_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`contact_mailing_list_membership`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__distribution_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__distribution_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__distribution_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__distribution_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__distribution_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__distribution_tmp"], "alias": "stg_qualtrics__distribution_tmp", "checksum": {"name": "sha256", "checksum": "7166ec5e6cf825ee9daa5783aa236f30a294cd79d614420a921b8fe59c8530b9"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.402817, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='distribution', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='distribution',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "distribution"], ["qualtrics", "distribution"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.distribution", "source.qualtrics_source.qualtrics.distribution"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__distribution_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`distribution`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__block_question_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__block_question_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__block_question_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__block_question_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__block_question_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__block_question_tmp"], "alias": "stg_qualtrics__block_question_tmp", "checksum": {"name": "sha256", "checksum": "0b9b7b5c2613f28eeef8c4a2825f977b966a129f8d295bac6d5e374aac6d79b5"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.406796, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block_question_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='block_question', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='block_question',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "block_question"], ["qualtrics", "block_question"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.block_question", "source.qualtrics_source.qualtrics.block_question"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__block_question_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`block_question`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__survey_response_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__survey_response_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__survey_response_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__survey_response_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_response_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__survey_response_tmp"], "alias": "stg_qualtrics__survey_response_tmp", "checksum": {"name": "sha256", "checksum": "f047d640e7020023f2214578322056d33cebc53a7bee067b398e2195d83d37b4"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.410871, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_response_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='survey_response', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='survey_response',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "survey_response"], ["qualtrics", "survey_response"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.survey_response", "source.qualtrics_source.qualtrics.survey_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__survey_response_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`survey_response`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__directory_mailing_list_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__directory_mailing_list_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__directory_mailing_list_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__directory_mailing_list_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory_mailing_list_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__directory_mailing_list_tmp"], "alias": "stg_qualtrics__directory_mailing_list_tmp", "checksum": {"name": "sha256", "checksum": "88534ae79c01bf33fa6890ad5e720be4406faab978c6c3a5c3e3205973786c01"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.414776, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='directory_mailing_list', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='directory_mailing_list',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "directory_mailing_list"], ["qualtrics", "directory_mailing_list"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.directory_mailing_list", "source.qualtrics_source.qualtrics.directory_mailing_list"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__directory_mailing_list_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`directory_mailing_list`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__directory_contact_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__directory_contact_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__directory_contact_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__directory_contact_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory_contact_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__directory_contact_tmp"], "alias": "stg_qualtrics__directory_contact_tmp", "checksum": {"name": "sha256", "checksum": "cd03fb1bde2bfd3e28707465eba10e23984e73cd9d5035e899e1c5e56a98f54b"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.418717, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_contact_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='directory_contact', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='directory_contact',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "directory_contact"], ["qualtrics", "directory_contact"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.directory_contact", "source.qualtrics_source.qualtrics.directory_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__directory_contact_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`directory_contact`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__block_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__block_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__block_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__block_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__block_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__block_tmp"], "alias": "stg_qualtrics__block_tmp", "checksum": {"name": "sha256", "checksum": "b4300ff80d5e8628a57e45a6ac0febcecf9ac198880b8296064aede3fbb5456c"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.42356, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='block', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='block',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "block"], ["qualtrics", "block"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.block", "source.qualtrics_source.qualtrics.block"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__block_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`block`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__survey_embedded_data_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__survey_embedded_data_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__survey_embedded_data_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__survey_embedded_data_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_embedded_data_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__survey_embedded_data_tmp"], "alias": "stg_qualtrics__survey_embedded_data_tmp", "checksum": {"name": "sha256", "checksum": "b1007ac04a063897a03a96e7648d588d1ec0034d4f1ae0cbcc6c206bff6db3b0"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.4274912, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='survey_embedded_data', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='survey_embedded_data',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "survey_embedded_data"], ["qualtrics", "survey_embedded_data"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.survey_embedded_data", "source.qualtrics_source.qualtrics.survey_embedded_data"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__survey_embedded_data_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`survey_embedded_data`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__user_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__user_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__user_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__user_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__user_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__user_tmp"], "alias": "stg_qualtrics__user_tmp", "checksum": {"name": "sha256", "checksum": "1520d2da463067fc5857960e55a02f71a05318d4491f70cca4a6e35d86418b73"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.431424, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__user_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='user', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='user',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "user"], ["qualtrics", "user"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.user", "source.qualtrics_source.qualtrics.user"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__user_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`user`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__question_response_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__question_response_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__question_response_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__question_response_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question_response_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__question_response_tmp"], "alias": "stg_qualtrics__question_response_tmp", "checksum": {"name": "sha256", "checksum": "4c4e65873dc78879bf922bdb9d12a38f92731ad219328e9100f92e93acd9270c"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.4354508, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_response_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='question_response', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='question_response',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "question_response"], ["qualtrics", "question_response"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.question_response", "source.qualtrics_source.qualtrics.question_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__question_response_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`question_response`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__core_contact_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__core_contact_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__core_contact_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__core_contact_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__core_contact_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__core_contact_tmp"], "alias": "stg_qualtrics__core_contact_tmp", "checksum": {"name": "sha256", "checksum": "de453d9f869d610f5e3c6b138cf9d1540b26b120ccff6e3d85386c5515eefd91"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view", "enabled": true}, "created_at": 1690564820.4394088, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_contact_tmp`", "raw_code": "{{ config(enabled=var('qualtrics__using_core_contacts', false)) }}\n-- can disable \n{{\n    fivetran_utils.union_data(\n        table_identifier='core_contact', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='core_contact',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "core_contact"], ["qualtrics", "core_contact"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.core_contact", "source.qualtrics_source.qualtrics.core_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__core_contact_tmp.sql", "compiled": true, "compiled_code": "\n-- can disable \n\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`core_contact`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__survey_version_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__survey_version_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__survey_version_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__survey_version_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_version_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__survey_version_tmp"], "alias": "stg_qualtrics__survey_version_tmp", "checksum": {"name": "sha256", "checksum": "7de6955c25cf9112b7f4812bc1ee82a99adb7bd0596a503a8c3418d99be7b0fc"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.444221, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_version_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='survey_version', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='survey_version',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "survey_version"], ["qualtrics", "survey_version"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.survey_version", "source.qualtrics_source.qualtrics.survey_version"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__survey_version_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`survey_version`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "model.qualtrics_source.stg_qualtrics__sub_question_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests_qualtrics_source", "name": "stg_qualtrics__sub_question_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__sub_question_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__sub_question_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__sub_question_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__sub_question_tmp"], "alias": "stg_qualtrics__sub_question_tmp", "checksum": {"name": "sha256", "checksum": "e1c78c3bfc4b8edd62ca16fd5a3f88e9a9eb6dccaf68c1fd07cbea82f7608895"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "post-hook": [], "pre-hook": []}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1690564820.448263, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__sub_question_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='sub_question', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='sub_question',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "sub_question"], ["qualtrics", "sub_question"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.sub_question", "source.qualtrics_source.qualtrics.sub_question"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__sub_question_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_integration_tests`.`sub_question`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__survey_source_relation__survey_id.c9eda9bf51": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "survey_id"], "model": "{{ get_where_subquery(ref('qualtrics__survey')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__survey_source_relation__survey_id", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__survey_source_relation__survey_id.c9eda9bf51", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__survey_source_relation__survey_id"], "alias": "dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2"}, "created_at": 1690564820.57697, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2\") }}", "language": "sql", "refs": [{"name": "qualtrics__survey", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__survey"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, survey_id\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__survey`\n    group by source_relation, survey_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__survey", "attached_node": "model.qualtrics.qualtrics__survey"}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__contact_source_relation__directory_id__contact_id.b3bb833816": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "directory_id", "contact_id"], "model": "{{ get_where_subquery(ref('qualtrics__contact')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__contact_source_relation__directory_id__contact_id", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__contact_source_relation__directory_id__contact_id.b3bb833816", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__contact_source_relation__directory_id__contact_id"], "alias": "dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e"}, "created_at": 1690564820.584329, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e\") }}", "language": "sql", "refs": [{"name": "qualtrics__contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__contact"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, directory_id, contact_id\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__contact`\n    group by source_relation, directory_id, contact_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__contact", "attached_node": "model.qualtrics.qualtrics__contact"}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__directory_source_relation__directory_id.21547652b0": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "directory_id"], "model": "{{ get_where_subquery(ref('qualtrics__directory')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__directory_source_relation__directory_id", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__directory_source_relation__directory_id.21547652b0", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__directory_source_relation__directory_id"], "alias": "dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810"}, "created_at": 1690564820.587275, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810\") }}", "language": "sql", "refs": [{"name": "qualtrics__directory", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__directory"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, directory_id\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__directory`\n    group by source_relation, directory_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__directory", "attached_node": "model.qualtrics.qualtrics__directory"}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__distribution_source_relation__distribution_id.e7ba527eec": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "distribution_id"], "model": "{{ get_where_subquery(ref('qualtrics__distribution')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__distribution_source_relation__distribution_id", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__distribution_source_relation__distribution_id.e7ba527eec", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__distribution_source_relation__distribution_id"], "alias": "dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612"}, "created_at": 1690564820.590053, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612\") }}", "language": "sql", "refs": [{"name": "qualtrics__distribution", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__distribution"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, distribution_id\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__distribution`\n    group by source_relation, distribution_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__distribution", "attached_node": "model.qualtrics.qualtrics__distribution"}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__daily_breakdown_date_day__source_relation.dbc8565bca": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["date_day", "source_relation"], "model": "{{ get_where_subquery(ref('qualtrics__daily_breakdown')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__daily_breakdown_date_day__source_relation", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__daily_breakdown_date_day__source_relation.dbc8565bca", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__daily_breakdown_date_day__source_relation"], "alias": "dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f"}, "created_at": 1690564820.5928352, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f\") }}", "language": "sql", "refs": [{"name": "qualtrics__daily_breakdown", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__daily_breakdown"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        date_day, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__daily_breakdown`\n    group by date_day, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__daily_breakdown", "attached_node": "model.qualtrics.qualtrics__daily_breakdown"}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__response_source_relation__survey_response_id__question_response_id__sub_question_key.af535210ca": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "survey_response_id", "question_response_id", "sub_question_key"], "model": "{{ get_where_subquery(ref('qualtrics__response')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__response_source_relation__survey_response_id__question_response_id__sub_question_key", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__response_source_relation__survey_response_id__question_response_id__sub_question_key.af535210ca", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__response_source_relation__survey_response_id__question_response_id__sub_question_key"], "alias": "dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d"}, "created_at": 1690564820.595617, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d\") }}", "language": "sql", "refs": [{"name": "qualtrics__response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__response"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, survey_response_id, question_response_id, sub_question_key\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics`.`qualtrics__response`\n    group by source_relation, survey_response_id, question_response_id, sub_question_key\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__response", "attached_node": "model.qualtrics.qualtrics__response"}, "test.qualtrics_source.not_null_stg_qualtrics__user_user_id.816e912ff9": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "user_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__user')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__user_user_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__user_user_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__user_user_id.816e912ff9", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__user_user_id"], "alias": "not_null_stg_qualtrics__user_user_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1690564820.680855, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__user", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__user"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__user_user_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect user_id\nfrom `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__user`\nwhere user_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "user_id", "file_key_name": "models.stg_qualtrics__user", "attached_node": "model.qualtrics_source.stg_qualtrics__user"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__user_user_id__source_relation.73c4de157d": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["user_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__user')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__user_user_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__user_user_id__source_relation.73c4de157d", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__user_user_id__source_relation"], "alias": "dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67"}, "created_at": 1690564820.6820061, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__user", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__user"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        user_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__user`\n    group by user_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__user", "attached_node": "model.qualtrics_source.stg_qualtrics__user"}, "test.qualtrics_source.not_null_stg_qualtrics__survey_survey_id.2796651e04": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "survey_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__survey')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__survey_survey_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__survey_survey_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__survey_survey_id.2796651e04", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__survey_survey_id"], "alias": "not_null_stg_qualtrics__survey_survey_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1690564820.684953, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__survey_survey_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect survey_id\nfrom `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey`\nwhere survey_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "survey_id", "file_key_name": "models.stg_qualtrics__survey", "attached_node": "model.qualtrics_source.stg_qualtrics__survey"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_survey_id__source_relation.a1fd5a2968": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["survey_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__survey')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_survey_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_survey_id__source_relation.a1fd5a2968", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_survey_id__source_relation"], "alias": "dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b"}, "created_at": 1690564820.6859992, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey`\n    group by survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__survey", "attached_node": "model.qualtrics_source.stg_qualtrics__survey"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_question_id__survey_id__source_relation.1e5f78924a": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["question_id", "survey_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__question')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_question_id__survey_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_question_id__survey_id__source_relation.1e5f78924a", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_question_id__survey_id__source_relation"], "alias": "dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a"}, "created_at": 1690564820.6888251, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__question", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__question"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        question_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question`\n    group by question_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__question", "attached_node": "model.qualtrics_source.stg_qualtrics__question"}, "test.qualtrics_source.not_null_stg_qualtrics__question_response__fivetran_id.6e47cc53d7": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "_fivetran_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__question_response')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__question_response__fivetran_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__question_response__fivetran_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__question_response__fivetran_id.6e47cc53d7", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__question_response__fivetran_id"], "alias": "not_null_stg_qualtrics__question_response__fivetran_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1690564820.691766, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__question_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__question_response__fivetran_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect _fivetran_id\nfrom `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_response`\nwhere _fivetran_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "_fivetran_id", "file_key_name": "models.stg_qualtrics__question_response", "attached_node": "model.qualtrics_source.stg_qualtrics__question_response"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_response__fivetran_id__source_relation.2e0556a912": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["_fivetran_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__question_response')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_response__fivetran_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_response__fivetran_id__source_relation.2e0556a912", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_response__fivetran_id__source_relation"], "alias": "dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa"}, "created_at": 1690564820.69295, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__question_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        _fivetran_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_response`\n    group by _fivetran_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__question_response", "attached_node": "model.qualtrics_source.stg_qualtrics__question_response"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_option_question_id__survey_id__key__source_relation.af5af3057f": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["question_id", "survey_id", "key", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__question_option')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_option_question_id__survey_id__key__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_option_question_id__survey_id__key__source_relation.af5af3057f", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_option_question_id__survey_id__key__source_relation"], "alias": "dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad"}, "created_at": 1690564820.6957471, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__question_option", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_option"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        question_id, survey_id, key, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__question_option`\n    group by question_id, survey_id, key, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__question_option", "attached_node": "model.qualtrics_source.stg_qualtrics__question_option"}, "test.qualtrics_source.not_null_stg_qualtrics__survey_response_response_id.864d3a83e3": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "response_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__survey_response')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__survey_response_response_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__survey_response_response_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__survey_response_response_id.864d3a83e3", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__survey_response_response_id"], "alias": "not_null_stg_qualtrics__survey_response_response_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1690564820.698992, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__survey_response_response_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect response_id\nfrom `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_response`\nwhere response_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "response_id", "file_key_name": "models.stg_qualtrics__survey_response", "attached_node": "model.qualtrics_source.stg_qualtrics__survey_response"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_response_response_id__source_relation.c97ddff72b": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["response_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__survey_response')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_response_response_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_response_response_id__source_relation.c97ddff72b", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_response_response_id__source_relation"], "alias": "dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2"}, "created_at": 1690564820.700036, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        response_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n    group by response_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__survey_response", "attached_node": "model.qualtrics_source.stg_qualtrics__survey_response"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__sub_question_question_id__survey_id__key__source_relation.12c68e2ef2": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["question_id", "survey_id", "key", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__sub_question')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__sub_question_question_id__survey_id__key__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__sub_question_question_id__survey_id__key__source_relation.12c68e2ef2", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__sub_question_question_id__survey_id__key__source_relation"], "alias": "dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd"}, "created_at": 1690564820.702806, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__sub_question", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__sub_question"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        question_id, survey_id, key, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__sub_question`\n    group by question_id, survey_id, key, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__sub_question", "attached_node": "model.qualtrics_source.stg_qualtrics__sub_question"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_version_version_id__survey_id__source_relation.513ef528c1": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["version_id", "survey_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__survey_version')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_version_version_id__survey_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_version_version_id__survey_id__source_relation.513ef528c1", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_version_version_id__survey_id__source_relation"], "alias": "dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4"}, "created_at": 1690564820.705905, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_version", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_version"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        version_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_version`\n    group by version_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__survey_version", "attached_node": "model.qualtrics_source.stg_qualtrics__survey_version"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_embedded_data_import_id__response_id__key__value__source_relation.73ba345920": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["import_id", "response_id", "key", "value", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__survey_embedded_data')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_embedded_data_import_id__response_id__key__value__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_embedded_data_import_id__response_id__key__value__source_relation.73ba345920", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_embedded_data_import_id__response_id__key__value__source_relation"], "alias": "dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7"}, "created_at": 1690564820.708842, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_embedded_data", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_embedded_data"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        import_id, response_id, key, value, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`\n    group by import_id, response_id, key, value, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__survey_embedded_data", "attached_node": "model.qualtrics_source.stg_qualtrics__survey_embedded_data"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__block_block_id__survey_id__source_relation.9105cad472": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["block_id", "survey_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__block')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__block_block_id__survey_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__block_block_id__survey_id__source_relation.9105cad472", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__block_block_id__survey_id__source_relation"], "alias": "dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75"}, "created_at": 1690564820.712121, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__block", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__block"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        block_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block`\n    group by block_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__block", "attached_node": "model.qualtrics_source.stg_qualtrics__block"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__block_question_block_id__question_id__survey_id__source_relation.2fd7c420b5": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["block_id", "question_id", "survey_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__block_question')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__block_question_block_id__question_id__survey_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__block_question_block_id__question_id__survey_id__source_relation.2fd7c420b5", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__block_question_block_id__question_id__survey_id__source_relation"], "alias": "dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d"}, "created_at": 1690564820.7150688, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__block_question", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__block_question"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        block_id, question_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__block_question`\n    group by block_id, question_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__block_question", "attached_node": "model.qualtrics_source.stg_qualtrics__block_question"}, "test.qualtrics_source.not_null_stg_qualtrics__directory_directory_id.65413cdcf7": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "directory_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__directory')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__directory_directory_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__directory_directory_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__directory_directory_id.65413cdcf7", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__directory_directory_id"], "alias": "not_null_stg_qualtrics__directory_directory_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1690564820.718167, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__directory", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__directory_directory_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect directory_id\nfrom `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory`\nwhere directory_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "directory_id", "file_key_name": "models.stg_qualtrics__directory", "attached_node": "model.qualtrics_source.stg_qualtrics__directory"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_directory_id__source_relation.9c637ae3e0": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["directory_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__directory')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_directory_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_directory_id__source_relation.9c637ae3e0", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_directory_id__source_relation"], "alias": "dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553"}, "created_at": 1690564820.71921, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__directory", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        directory_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory`\n    group by directory_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__directory", "attached_node": "model.qualtrics_source.stg_qualtrics__directory"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_contact_contact_id__directory_id__source_relation.a3dc488ebf": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["contact_id", "directory_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__directory_contact')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_contact_contact_id__directory_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_contact_contact_id__directory_id__source_relation.a3dc488ebf", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_contact_contact_id__directory_id__source_relation"], "alias": "dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d"}, "created_at": 1690564820.722007, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_id, directory_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n    group by contact_id, directory_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__directory_contact", "attached_node": "model.qualtrics_source.stg_qualtrics__directory_contact"}, "test.qualtrics_source.not_null_stg_qualtrics__distribution_distribution_id.6158e414ed": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "distribution_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__distribution')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__distribution_distribution_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__distribution_distribution_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__distribution_distribution_id.6158e414ed", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__distribution_distribution_id"], "alias": "not_null_stg_qualtrics__distribution_distribution_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1690564820.724928, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__distribution_distribution_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect distribution_id\nfrom `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution`\nwhere distribution_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "distribution_id", "file_key_name": "models.stg_qualtrics__distribution", "attached_node": "model.qualtrics_source.stg_qualtrics__distribution"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_distribution_id__source_relation.312f709e9c": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["distribution_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__distribution')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_distribution_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_distribution_id__source_relation.312f709e9c", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_distribution_id__source_relation"], "alias": "dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3"}, "created_at": 1690564820.726107, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        distribution_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution`\n    group by distribution_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__distribution", "attached_node": "model.qualtrics_source.stg_qualtrics__distribution"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_contact_contact_id__distribution_id__source_relation.b40826e6b2": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["contact_id", "distribution_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__distribution_contact')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_contact_contact_id__distribution_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_contact_contact_id__distribution_id__source_relation.b40826e6b2", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_contact_contact_id__distribution_id__source_relation"], "alias": "dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771"}, "created_at": 1690564820.7287831, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_id, distribution_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n    group by contact_id, distribution_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__distribution_contact", "attached_node": "model.qualtrics_source.stg_qualtrics__distribution_contact"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_mailing_list_mailing_list_id__directory_id__source_relation.24870adb73": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["mailing_list_id", "directory_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__directory_mailing_list')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_mailing_list_mailing_list_id__directory_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_mailing_list_mailing_list_id__directory_id__source_relation.24870adb73", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_mailing_list_mailing_list_id__directory_id__source_relation"], "alias": "dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a"}, "created_at": 1690564820.731723, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_mailing_list", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_mailing_list"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        mailing_list_id, directory_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`\n    group by mailing_list_id, directory_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__directory_mailing_list", "attached_node": "model.qualtrics_source.stg_qualtrics__directory_mailing_list"}, "test.qualtrics_source.not_null_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id.32d4d7bbf5": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "contact_lookup_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__contact_mailing_list_membership')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id.32d4d7bbf5", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id"], "alias": "not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d"}, "created_at": 1690564820.734744, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}{{ config(alias=\"not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__contact_mailing_list_membership", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect contact_lookup_id\nfrom `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\nwhere contact_lookup_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "contact_lookup_id", "file_key_name": "models.stg_qualtrics__contact_mailing_list_membership", "attached_node": "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id__source_relation.943f4b419c": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["contact_lookup_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__contact_mailing_list_membership')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id__source_relation.943f4b419c", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id__source_relation"], "alias": "dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46"}, "created_at": 1690564820.7362719, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__contact_mailing_list_membership", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_lookup_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n    group by contact_lookup_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__contact_mailing_list_membership", "attached_node": "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__core_contact_contact_id__mailing_list_id__source_relation.fbdaf339c9": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["contact_id", "mailing_list_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__core_contact')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__core_contact_contact_id__mailing_list_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__core_contact_contact_id__mailing_list_id__source_relation.fbdaf339c9", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__core_contact_contact_id__mailing_list_id__source_relation"], "alias": "dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19"}, "created_at": 1690564820.739081, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__core_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__core_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_id, mailing_list_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n    group by contact_id, mailing_list_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__core_contact", "attached_node": "model.qualtrics_source.stg_qualtrics__core_contact"}, "test.qualtrics_source.not_null_stg_qualtrics__core_mailing_list_mailing_list_id.344fbdd6dc": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "mailing_list_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__core_mailing_list')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__core_mailing_list_mailing_list_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__core_mailing_list_mailing_list_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__core_mailing_list_mailing_list_id.344fbdd6dc", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__core_mailing_list_mailing_list_id"], "alias": "not_null_stg_qualtrics__core_mailing_list_mailing_list_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1690564820.742, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__core_mailing_list", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__core_mailing_list"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__core_mailing_list_mailing_list_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect mailing_list_id\nfrom `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`\nwhere mailing_list_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": "mailing_list_id", "file_key_name": "models.stg_qualtrics__core_mailing_list", "attached_node": "model.qualtrics_source.stg_qualtrics__core_mailing_list"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__core_mailing_list_mailing_list_id__source_relation.fcd78a8fd6": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["mailing_list_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__core_mailing_list')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_integration_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__core_mailing_list_mailing_list_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__core_mailing_list_mailing_list_id__source_relation.fcd78a8fd6", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__core_mailing_list_mailing_list_id__source_relation"], "alias": "dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0"}, "created_at": 1690564820.743039, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__core_mailing_list", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__core_mailing_list"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        mailing_list_id, source_relation\n    from `dbt-package-testing`.`qualtrics_integration_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`\n    group by mailing_list_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__core_mailing_list", "attached_node": "model.qualtrics_source.stg_qualtrics__core_mailing_list"}, "seed.qualtrics_integration_tests.core_mailing_list": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "core_mailing_list", "resource_type": "seed", "package_name": "qualtrics_integration_tests", "path": "core_mailing_list.csv", "original_file_path": "seeds/core_mailing_list.csv", "unique_id": "seed.qualtrics_integration_tests.core_mailing_list", "fqn": ["qualtrics_integration_tests", "core_mailing_list"], "alias": "core_mailing_list", "checksum": {"name": "sha256", "checksum": "b4d93c20c8c32613c80b2a02ebb6469746460efde6a381d39fc0f5cdd779dee5"}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "group": null, "materialized": "seed", "incremental_strategy": null, "persist_docs": {}, "quoting": {}, "column_types": {"_fivetran_synced": "timestamp"}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false}, "quote_columns": null, "post-hook": [], "pre-hook": []}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"column_types": {"_fivetran_synced": "timestamp"}}, "created_at": 1690565295.349331, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`core_mailing_list`", "raw_code": "", "root_path": "/Users/jamie.rodriguez/Desktop/dbt_repos/Qualtrics/dbt_qualtrics/integration_tests", "depends_on": {"macros": []}}}, "sources": {"source.qualtrics_source.qualtrics.user": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "user", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.user", "fqn": ["qualtrics_source", "qualtrics", "user"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "user", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "These are the users in your organizations, not the contacts for whom you are building content like surveys and messages.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_creation_date": {"name": "account_creation_date", "description": "The date and time that the account was created. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_expiration_date": {"name": "account_expiration_date", "description": "The date the account expires. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_status": {"name": "account_status", "description": "Either `active`, `disabled`, or `notVerified`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "division_id": {"name": "division_id", "description": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "The user's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "The user's first name or given name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "Unique ID of the user. Match pattern  = ^((UR)|(URH))_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_login_date": {"name": "last_login_date", "description": "The date and time the user last logged into the user interface. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "User's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "organization_id": {"name": "organization_id", "description": "ID of the organization/brand this record belongs to.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "password_expiration_date": {"name": "password_expiration_date", "description": "The date the account password expires. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "password_last_changed_date": {"name": "password_last_changed_date", "description": "The date the account password was last changed. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_auditable": {"name": "response_count_auditable", "description": "The count of auditable responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_deleted": {"name": "response_count_deleted", "description": "The count of deleted responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_generated": {"name": "response_count_generated", "description": "The count of generated responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "time_zone": {"name": "time_zone", "description": "The IANA time zone setting for the user.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed": {"name": "unsubscribed", "description": "Boolean indicating if the user unsubscribed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_type": {"name": "user_type", "description": "ID of the user type. See mappings of user types to their type IDs [here](https://api.qualtrics.com/dc2be1c61af61-user-type).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "username": {"name": "username", "description": "UI-facing username for the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`user`", "created_at": 1690564820.797706}, "source.qualtrics_source.qualtrics.survey": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "survey", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.survey", "fqn": ["qualtrics_source", "qualtrics", "survey"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "survey", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Qualtrics survey.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_scoring_category": {"name": "auto_scoring_category", "description": "The automated scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_base_url": {"name": "brand_base_url", "description": "Base url for the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_id": {"name": "brand_id", "description": "Unique ID of the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "bundle_short_name": {"name": "bundle_short_name", "description": "Short name for the content bundle that the survey is from.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "composition_type": {"name": "composition_type", "description": "Survey composition type.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creator_id": {"name": "creator_id", "description": "The unique identifier for a specific `USER` who created the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "default_scoring_category": {"name": "default_scoring_category", "description": "The default scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "division_id": {"name": "division_id", "description": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_active": {"name": "is_active", "description": "DEPRECATED. Use `survey_status = 'active'` instead.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_accessed": {"name": "last_accessed", "description": "The date the survey was last accessed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_activated": {"name": "last_activated", "description": "The date the survey was last activated.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified": {"name": "last_modified", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_id": {"name": "owner_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_category": {"name": "project_category", "description": "Project category of the survey.\n\nAllowed values - `CORE`, `CX`, `EX`, `BX`, `PX`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_type": {"name": "project_type", "description": "Type of [Qualtrics project](https://www.qualtrics.com/support/survey-platform/my-projects/my-projects-overview/#SelectingProjectType). Match pattern = ^[a-zA-Z]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_sha": {"name": "registry_sha", "description": "The survey registry SHA.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_version": {"name": "registry_version", "description": "The survey registry version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "schema_version": {"name": "schema_version", "description": "Qualtrics schema version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_questions": {"name": "scoring_summary_after_questions", "description": "Boolean representing whether the scoring summary is after questions.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_survey": {"name": "scoring_summary_after_survey", "description": "Boolean representing whether the scoring summary is after the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_category": {"name": "scoring_summary_category", "description": "The unique identifier for the scoring.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_name": {"name": "survey_name", "description": "Name of the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_status": {"name": "survey_status", "description": "The distribution status of the survey, or a flag indicating that it's a library block\n\nAllowed values - `Inactive`, `Active`, `Pending`, `LibBlock`, `Deactive`, `Temporary`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`survey`", "created_at": 1690564820.797863}, "source.qualtrics_source.qualtrics.question": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "question", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.question", "fqn": ["qualtrics_source", "qualtrics", "question"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "question", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Questions within a survey.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "data_export_tag": {"name": "data_export_tag", "description": "The tag to identify the question in exported data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "data_visibility_hidden": {"name": "data_visibility_hidden", "description": "Boolean that represents whether the embedded data is hidden.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "data_visibility_private": {"name": "data_visibility_private", "description": "Boolean that represents whether the embedded data is private.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "next_answer_id": {"name": "next_answer_id", "description": "For Matrix questions, the vertical options are denoted as \"Answers\" in the question's structure. \nID of the next answer for this question. ?", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "next_choice_id": {"name": "next_choice_id", "description": "For Matrix questions, the horizontal options are denoted as \"Choices\" in the question's structure. \n\nID of the next choice for this question. ?", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_description": {"name": "question_description", "description": "Label to identify the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_description_option": {"name": "question_description_option", "description": "An optional user-provided field for question descriptions. Accepted values = `UseText`, `SpecifyLabel`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_text": {"name": "question_text", "description": "Text for the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_text_unsafe": {"name": "question_text_unsafe", "description": "Un-paresed version of the question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_type": {"name": "question_type", "description": "The type of question. Can be -\n`MC`,`Matrix`,`Captcha`,`CS`,`DB`,`DD`,`Draw`,`DynamicMatrix`,`FileUpload`,`GAP`,`HeatMap`,`HL`,`HotSpot`,`Meta`,`PGR`,`RO`,`SBS`,`Slider`,`SS`,`TE`,`Timing`,`TreeSelect`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "selector": {"name": "selector", "description": "How answers are selected such as single answer, multiple answer, etc. Accepted values - \n- `Bipolar`\n- `Browser`\n- `Captcha`\n- `CompactView`\n- `CS`\n- `D`\n- `DL`\n- `DND`\n- `DragAndDrop`\n- `ESTB`\n- `FORM`\n- `FileUpload`\n- `GRB`\n- `HBAR`\n- `HR`\n- `HSLIDER`\n- `I`\n- `Image`\n- `LikeDislike`\n- `Likert`\n- `MACOL`\n- `MAHR`\n- `MAVR`\n- `ML`\n- `MSB`\n- `MaxDiff`\n- `NPS`\n- `OH`\n- `OnOff`\n- `POS`\n- `PTB`\n- `PW`\n- `PageTimer`\n- `Profile`\n- `RB`\n- `RO`\n- `SACOL`\n- `SAHR`\n- `SAVR`\n- `SB`\n- `SBSMatrix`\n- `SL`\n- `STAR`\n- `ScreenCapture`\n- `SearchOnly`\n- `Signature`\n- `TA`\n- `TB`\n- `TBelow`\n- `TE`\n- `TL`\n- `TRight`\n- `Text`\n- `V1`\n- `V2`\n- `VR`\n- `VRTL`\n- `WTXB`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_selector": {"name": "sub_selector", "description": "How subquestion answers are selected. Allowed values - SingleAnswer, DL, GR, DND, Long, Medium, MultipleAnswer, Columns, NoColumns, Short, TX, TXOT, WOTXB, WOTB, WTB, WTXB, WVTB.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response": {"name": "validation_setting_force_response", "description": "The response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response_type": {"name": "validation_setting_force_response_type", "description": "The type of response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_type": {"name": "validation_setting_type", "description": "The type of forced response validation that is set.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`question`", "created_at": 1690564820.797992}, "source.qualtrics_source.qualtrics.question_response": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "question_response", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.question_response", "fqn": ["qualtrics_source", "qualtrics", "question_response"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "question_response", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Responses to individual questions (and their sub-questions).", "columns": {"_fivetran_id": {"name": "_fivetran_id", "description": "Fivetran-generated unique key hashed on `response_id`, `question_id`, `sub_question_key`, `sub_question_text` , `question_option_key` , `loop_id` and `importId`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "loop_id": {"name": "loop_id", "description": "ID of the [Loop and Merge](https://www.qualtrics.com/support/survey-platform/survey-module/block-options/loop-and-merge/) object this response is associated with.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question": {"name": "question", "description": "Question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_option_key": {"name": "question_option_key", "description": "The key of the `QUESTION_OPTION` that was chosen.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_key": {"name": "sub_question_key", "description": "Key of the sub question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_text": {"name": "sub_question_text", "description": "Sub question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "value": {"name": "value", "description": "Value of the question response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`question_response`", "created_at": 1690564820.7981062}, "source.qualtrics_source.qualtrics.question_option": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "question_option", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.question_option", "fqn": ["qualtrics_source", "qualtrics", "question_option"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "question_option", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Choice options for survey questions.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "The key of the `QUESTION_OPTION` that was chosen.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recode_value": {"name": "recode_value", "description": "Recode/mapping value for the option.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "text": {"name": "text", "description": "Question option text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`question_option`", "created_at": 1690564820.798213}, "source.qualtrics_source.qualtrics.survey_response": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "survey_response", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.survey_response", "fqn": ["qualtrics_source", "qualtrics", "survey_response"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "survey_response", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Individual responses to surveys. A response becomes \"recorded\" when a respondent submits a survey,  a survey is manually closed from the Responses in Progress page, or a survey session expires.\n", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_channel": {"name": "distribution_channel", "description": "The method by which the survey was distributed to respondents.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "duration_in_seconds": {"name": "duration_in_seconds", "description": "How long it took for the respondent to finish the survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "end_date": {"name": "end_date", "description": "The point in time when the survey response was finished.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "finished": {"name": "finished", "description": "Boolean (stored as int) indicating if the respondent finished and submitted the survey, the value will be 1, otherwise it will be 0.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ip_address": {"name": "ip_address", "description": "IP address of the recipient.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_date": {"name": "last_modified_date", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_latitude": {"name": "location_latitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_longitude": {"name": "location_longitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "progress": {"name": "progress", "description": "How far the respondent has progressed through the survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_email": {"name": "recipient_email", "description": "Email of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_first_name": {"name": "recipient_first_name", "description": "First name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_last_name": {"name": "recipient_last_name", "description": "Last name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recorded_date": {"name": "recorded_date", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "start_date": {"name": "start_date", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The type of response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_language": {"name": "user_language", "description": "The language of the respondent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`survey_response`", "created_at": 1690564820.798334}, "source.qualtrics_source.qualtrics.sub_question": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "sub_question", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.sub_question", "fqn": ["qualtrics_source", "qualtrics", "sub_question"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "sub_question", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Sub-questions of questions.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "choice_data_export_tag": {"name": "choice_data_export_tag", "description": "The tag to identify the question choice in exported data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "Key of the sub question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "text": {"name": "text", "description": "Sub question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`sub_question`", "created_at": 1690564820.798501}, "source.qualtrics_source.qualtrics.survey_version": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "survey_version", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.survey_version", "fqn": ["qualtrics_source", "qualtrics", "survey_version"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "survey_version", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Published and un-published versions of surveys.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creation_date": {"name": "creation_date", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "description": {"name": "description", "description": "A user-provided description of the survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The unique identifier for this survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "published": {"name": "published", "description": "Boolean that, when true, publishes the version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_id": {"name": "user_id", "description": "ID of `USER` who published this survey version in your org.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_number": {"name": "version_number", "description": "The version number of this survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "was_published": {"name": "was_published", "description": "Boolean that is true if the survey version was published.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`survey_version`", "created_at": 1690564820.7986119}, "source.qualtrics_source.qualtrics.survey_embedded_data": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "survey_embedded_data", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.survey_embedded_data", "fqn": ["qualtrics_source", "qualtrics", "survey_embedded_data"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "survey_embedded_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Any extra information you would like recorded in addition to the question responses.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "import_id": {"name": "import_id", "description": "A unique identifier to recognize this import job of embedded survey data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "Key of the embedded survey data element.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "value": {"name": "value", "description": "Key of the embedded survey data element.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`survey_embedded_data`", "created_at": 1690564820.79872}, "source.qualtrics_source.qualtrics.block": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "block", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.block", "fqn": ["qualtrics_source", "qualtrics", "block"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "block", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Groups of questions, used to organize longer surveys and conditionally display sets of questions.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_locking": {"name": "block_locking", "description": "Boolean representing whether modification of the block and its contents is prevented.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_visibility": {"name": "block_visibility", "description": "Whether the questions in the block are 'collapsed' or 'expanded' by default.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "description": {"name": "description", "description": "Description given to the block.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "randomize_questions": {"name": "randomize_questions", "description": "If/how the block questions are randomized. Can be - `false` (no randomization), `RandomWithXPerPage` (randomize all and place X questions in each block), `RandomWithOnlyX` (randomly present only X out of the total questions), or `Advanced` (custom configuration)", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "Type of block. Can be `Trash`, `Default`, or `Standard`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`block`", "created_at": 1690564820.7988338}, "source.qualtrics_source.qualtrics.block_question": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "block_question", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.block_question", "fqn": ["qualtrics_source", "qualtrics", "block_question"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "block_question", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Table relating questions and blocks together.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_id": {"name": "block_id", "description": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`block_question`", "created_at": 1690564820.798943}, "source.qualtrics_source.qualtrics.directory": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "directory", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.directory", "fqn": ["qualtrics_source", "qualtrics", "directory"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "directory", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "A directory is an address book for the entire brand and contains all of the contacts that have been added by your users.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "deduplication_criteria_email": {"name": "deduplication_criteria_email", "description": "Boolean representing if directory contacts are deduped based on email.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "deduplication_criteria_external_data_reference": {"name": "deduplication_criteria_external_data_reference", "description": "Boolean representing if directory contacts are deduped based on an external data reference.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "deduplication_criteria_first_name": {"name": "deduplication_criteria_first_name", "description": "Boolean representing if directory contacts are deduped based on first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "deduplication_criteria_last_name": {"name": "deduplication_criteria_last_name", "description": "Boolean representing if directory contacts are deduped based on last name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "deduplication_criteria_phone": {"name": "deduplication_criteria_phone", "description": "Boolean representing if directory contacts are deduped based on phone number.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_default": {"name": "is_default", "description": "Boolean representing if this directory is the default one for your brand. \n\nThe default directory will be the first directory listed in the dropdown menu in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`directory`", "created_at": 1690564820.799049}, "source.qualtrics_source.qualtrics.directory_contact": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "directory_contact", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.directory_contact", "fqn": ["qualtrics_source", "qualtrics", "directory_contact"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "directory_contact", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Tablle relating contacts to the XM directories they are a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creation_date": {"name": "creation_date", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_unsubscribe_date": {"name": "directory_unsubscribe_date", "description": "Date and time the user opted out of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_unsubscribed": {"name": "directory_unsubscribed", "description": "Boolean indicating whether the contact unsubscribed from all contact from the Directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "Contact's email address. Must be in proper email format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email_domain": {"name": "email_domain", "description": "Domain of the contact's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ext_ref": {"name": "ext_ref", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified": {"name": "last_modified", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "phone": {"name": "phone", "description": "Contact's phone number.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "write_blanks": {"name": "write_blanks", "description": "Boolean of whether to write blanks(?) or not.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`directory_contact`", "created_at": 1690564820.7991629}, "source.qualtrics_source.qualtrics.distribution": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "distribution", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.distribution", "fqn": ["qualtrics_source", "qualtrics", "distribution"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "distribution", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Use distributions to reach out to contacts in the XM Directory platform, with or without a survey attached.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_date": {"name": "created_date", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_email": {"name": "header_from_email", "description": "Email from address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_name": {"name": "header_from_name", "description": "Email from name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_reply_to_email": {"name": "header_reply_to_email", "description": "Email reply-to address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_subject": {"name": "header_subject", "description": "Email subject; text or message id (MS_).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The unique Distribution ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_library_id": {"name": "message_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_message_id": {"name": "message_message_id", "description": "The ID for the desired library message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_message_text": {"name": "message_message_text", "description": "Text of the message to send.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "modified_date": {"name": "modified_date", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "organization_id": {"name": "organization_id", "description": "ID of the organization/brand this record belongs to.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_id": {"name": "owner_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "parent_distribution_id": {"name": "parent_distribution_id", "description": "The unique ID of the parent distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_contact_id": {"name": "recipient_contact_id", "description": "The contact ID of the recipient. Can point to `directory_contact` or `core_contact`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_library_id": {"name": "recipient_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_mailing_list_id": {"name": "recipient_mailing_list_id", "description": "The mailing list or contact group associated with the distribution(s). Can point to `directory_mailing_list` or `core_mailing_list`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_sample_id": {"name": "recipient_sample_id", "description": "The ID for the desired sample. Can point to `directory_sample` or `core_sample` (not included in package).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_status": {"name": "request_status", "description": "The distribution's status. States include `Pending` and `Done`. The Pending state is for email that is scheduled to be sent at a later time.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_type": {"name": "request_type", "description": "The distribution's type. Types include `Invite`, `Reminder`, and `ThankYou`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "send_date": {"name": "send_date", "description": "The date and time the request will be or was sent (in ISO 8601 format). Note that this date and time could be in the future if the email distribution is scheduled to send after a delay.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_expiration_date": {"name": "survey_link_expiration_date", "description": "The expiration date for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_link_type": {"name": "survey_link_link_type", "description": "The link type (`Individual`, `Anonymous`, or `Multiple`) for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_survey_id": {"name": "survey_link_survey_id", "description": "The unique survey ID. Will be non-null even if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`distribution`", "created_at": 1690564820.799288}, "source.qualtrics_source.qualtrics.distribution_contact": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "distribution_contact", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.distribution_contact", "fqn": ["qualtrics_source", "qualtrics", "distribution_contact"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "distribution_contact", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Table relating contacts to distributiins they've been a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_frequency_rule_id": {"name": "contact_frequency_rule_id", "description": "The contact frequency Rule ID. Ex - FQ_AAB234234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_lookup_id": {"name": "contact_lookup_id", "description": "Optional contact lookup ID for individual distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_id": {"name": "distribution_id", "description": "The unique Distribution ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "opened_at": {"name": "opened_at", "description": "The time a survey was opened by the respondent, will be null if the survey has not been opened.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_completed_at": {"name": "response_completed_at", "description": "The time a response was completed, will be null for uncompleted surveys.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The ID of the survey response submitted by this contact. If no survey response has been submitted, this value will be null. If the survey was setup to anonymize responses, then this value will be `Anonymous`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_started_at": {"name": "response_started_at", "description": "The time a response was started by the respondent, will be null if survey has not been started.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sent_at": {"name": "sent_at", "description": "The time a survey was sent to the respondent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "One of:\n- `Pending` - The distribution is scheduled but has yet to be sent.\n- `Success` - The distribution was successfully delivered to the contact.\n- `Error` - An error occurred while attempting to send the distribution.\n- `Opened` - The distribution was opened by the contact.\n- `Complaint` - The contact complained that the distribution was spam.\n- `Skipped` - The contact was skipped due to contact frequency rules or blacklisted contact information.\n- `Blocked` - The distribution failed to send, because the contact blocked it or the email was caught by the spam circuit breaker.\n- `Failure` - The distribution failed to be delivered.\n- `Unknown` - The distribution failed for an unknown reason.\n- `SoftBounce` - The distribution bounced but can be retried.\n- `HardBounce` - The distribution bounced and should not be retried.\n- `SurveyStarted` - The contact started the survey distributed.\n- `SurveyPartiallyFinished` - The contact submitted a partially completed survey response.\n- `SurveyFinished` - The contact submitted a completed survey response.\n- `SurveyScreenedOut` - The contact screened out while taking the survey.\n- `SessionExpired` - The contact's survey session has expired.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link": {"name": "survey_link", "description": "The survey link sent with the distribution. This is null when no link was sent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_session_id": {"name": "survey_session_id", "description": "An identifier that represents the session in which the respondent interacted with the survey", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`distribution_contact`", "created_at": 1690564820.799399}, "source.qualtrics_source.qualtrics.directory_mailing_list": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "directory_mailing_list", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.directory_mailing_list", "fqn": ["qualtrics_source", "qualtrics", "directory_mailing_list"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "directory_mailing_list", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Mailing lists are lists of contacts that can receive emails and survey invitations. You can create mailing lists either through file upload or manually.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creation_date": {"name": "creation_date", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_date": {"name": "last_modified_date", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_id": {"name": "owner_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`directory_mailing_list`", "created_at": 1690564820.7997}, "source.qualtrics_source.qualtrics.contact_mailing_list_membership": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "contact_mailing_list_membership", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.contact_mailing_list_membership", "fqn": ["qualtrics_source", "qualtrics", "contact_mailing_list_membership"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "contact_mailing_list_membership", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Table relating contacts to mailing lists they are a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_lookup_id": {"name": "contact_lookup_id", "description": "Optional contact lookup ID for individual distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_id": {"name": "owner_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribe_date": {"name": "unsubscribe_date", "description": "Date and time the user opted out of this mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed": {"name": "unsubscribed", "description": "Boolean indicating whether the contact has opted out of receiving email through this mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`contact_mailing_list_membership`", "created_at": 1690564820.799809}, "source.qualtrics_source.qualtrics.core_contact": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "core_contact", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.core_contact", "fqn": ["qualtrics_source", "qualtrics", "core_contact"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "core_contact", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Research Core contacts (non-XM directory).", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "Mailing List Contact ID (different from `contact_id`). ex: `MLRP_*`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "Contact's email address. Must be in proper email format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "external_data_reference": {"name": "external_data_reference", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed": {"name": "unsubscribed", "description": "Boolean indicating if the user unsubscribed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`core_contact`", "created_at": 1690564820.7999291}, "source.qualtrics_source.qualtrics.core_mailing_list": {"database": "dbt-package-testing", "schema": "qualtrics_integration_tests", "name": "core_mailing_list", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.core_mailing_list", "fqn": ["qualtrics_source", "qualtrics", "core_mailing_list"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "core_mailing_list", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Research Core mailing list (non xm-directory).", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "library_id": {"name": "library_id", "description": "The library ID. Example: `UR_1234567890AbCdE`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "category": {"name": "category", "description": "The library ID. Example: `UR_1234567890AbCdE`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "folder": {"name": "folder", "description": "The folder this is placed in.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`qualtrics_integration_tests`.`core_mailing_list`", "created_at": 1690564820.800043}}, "macros": {"macro.dbt_bigquery.date_sharded_table": {"name": "date_sharded_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/etc.sql", "original_file_path": "macros/etc.sql", "unique_id": "macro.dbt_bigquery.date_sharded_table", "macro_sql": "{% macro date_sharded_table(base_name) %}\n    {{ return(base_name ~ \"[DBT__PARTITION_DATE]\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.254335, "supported_languages": null}, "macro.dbt_bigquery.grant_access_to": {"name": "grant_access_to", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/etc.sql", "original_file_path": "macros/etc.sql", "unique_id": "macro.dbt_bigquery.grant_access_to", "macro_sql": "{% macro grant_access_to(entity, entity_type, role, grant_target_dict) -%}\n  {% do adapter.grant_access_to(entity, entity_type, role, grant_target_dict) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.254591, "supported_languages": null}, "macro.dbt_bigquery.get_partitions_metadata": {"name": "get_partitions_metadata", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/etc.sql", "original_file_path": "macros/etc.sql", "unique_id": "macro.dbt_bigquery.get_partitions_metadata", "macro_sql": "\n\n{%- macro get_partitions_metadata(table) -%}\n  {%- if execute -%}\n    {%- set res = adapter.get_partitions_metadata(table) -%}\n    {{- return(res) -}}\n  {%- endif -%}\n  {{- return(None) -}}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.254912, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_catalog": {"name": "bigquery__get_catalog", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/catalog.sql", "original_file_path": "macros/catalog.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_catalog", "macro_sql": "{% macro bigquery__get_catalog(information_schema, schemas) -%}\n\n  {%- if (schemas | length) == 0 -%}\n    {# Hopefully nothing cares about the columns we return when there are no rows #}\n    {%- set query  = \"select 1 as id limit 0\" -%}\n  {%- else -%}\n\n  {%- set query -%}\n    with tables as (\n        select\n            project_id as table_database,\n            dataset_id as table_schema,\n            table_id as original_table_name,\n\n            concat(project_id, '.', dataset_id, '.', table_id) as relation_id,\n\n            row_count,\n            size_bytes as size_bytes,\n            case\n                when type = 1 then 'table'\n                when type = 2 then 'view'\n                else 'external'\n            end as table_type,\n\n            REGEXP_CONTAINS(table_id, '^.+[0-9]{8}$') and coalesce(type, 0) = 1 as is_date_shard,\n            REGEXP_EXTRACT(table_id, '^(.+)[0-9]{8}$') as shard_base_name,\n            REGEXP_EXTRACT(table_id, '^.+([0-9]{8})$') as shard_name\n\n        from {{ information_schema.replace(information_schema_view='__TABLES__') }}\n        where (\n          {%- for schema in schemas -%}\n            upper(dataset_id) = upper('{{ schema }}'){%- if not loop.last %} or {% endif -%}\n          {%- endfor -%}\n        )\n    ),\n\n    table_options as (\n        select\n            concat(table_catalog, '.', table_schema, '.', table_name) as relation_id,\n            JSON_VALUE(option_value) as table_comment\n\n        from {{ information_schema.replace(information_schema_view='TABLE_OPTIONS') }}\n        where option_name = 'description'\n    ),\n    extracted as (\n\n        select *,\n            case\n                when is_date_shard then shard_base_name\n                else original_table_name\n            end as table_name\n\n        from tables\n\n    ),\n\n    unsharded_tables as (\n\n        select\n            table_database,\n            table_schema,\n            table_name,\n            coalesce(table_type, 'external') as table_type,\n            is_date_shard,\n\n            struct(\n                min(shard_name) as shard_min,\n                max(shard_name) as shard_max,\n                count(*) as shard_count\n            ) as table_shards,\n\n            sum(size_bytes) as size_bytes,\n            sum(row_count) as row_count,\n\n            max(relation_id) as relation_id\n\n        from extracted\n        group by 1,2,3,4,5\n\n    ),\n\n    info_schema_columns as (\n\n        select\n            concat(table_catalog, '.', table_schema, '.', table_name) as relation_id,\n            table_catalog as table_database,\n            table_schema,\n            table_name,\n\n            -- use the \"real\" column name from the paths query below\n            column_name as base_column_name,\n            ordinal_position as column_index,\n\n            is_partitioning_column,\n            clustering_ordinal_position\n\n        from {{ information_schema.replace(information_schema_view='COLUMNS') }}\n        where ordinal_position is not null\n\n    ),\n\n    info_schema_column_paths as (\n\n        select\n            concat(table_catalog, '.', table_schema, '.', table_name) as relation_id,\n            field_path as column_name,\n            data_type as column_type,\n            column_name as base_column_name,\n            description as column_comment\n\n        from {{ information_schema.replace(information_schema_view='COLUMN_FIELD_PATHS') }}\n\n    ),\n\n    columns as (\n\n        select * except (base_column_name)\n        from info_schema_columns\n        join info_schema_column_paths using (relation_id, base_column_name)\n\n    ),\n\n    column_stats as (\n\n        select\n            table_database,\n            table_schema,\n            table_name,\n            max(relation_id) as relation_id,\n            max(case when is_partitioning_column = 'YES' then 1 else 0 end) = 1 as is_partitioned,\n            max(case when is_partitioning_column = 'YES' then column_name else null end) as partition_column,\n            max(case when clustering_ordinal_position is not null then 1 else 0 end) = 1 as is_clustered,\n            array_to_string(\n                array_agg(\n                    case\n                        when clustering_ordinal_position is not null then column_name\n                        else null\n                    end ignore nulls\n                    order by clustering_ordinal_position\n                ), ', '\n            ) as clustering_columns\n\n        from columns\n        group by 1,2,3\n\n    )\n\n    select\n        unsharded_tables.table_database,\n        unsharded_tables.table_schema,\n        case\n            when is_date_shard then concat(unsharded_tables.table_name, '*')\n            else unsharded_tables.table_name\n        end as table_name,\n        unsharded_tables.table_type,\n        table_options.table_comment,\n\n        -- coalesce name and type for External tables - these columns are not\n        -- present in the COLUMN_FIELD_PATHS resultset\n        coalesce(columns.column_name, '<unknown>') as column_name,\n        -- invent a row number to account for nested fields -- BQ does\n        -- not treat these nested properties as independent fields\n        row_number() over (\n            partition by relation_id\n            order by columns.column_index, columns.column_name\n        ) as column_index,\n        coalesce(columns.column_type, '<unknown>') as column_type,\n        columns.column_comment,\n\n        'Shard count' as `stats__date_shards__label`,\n        table_shards.shard_count as `stats__date_shards__value`,\n        'The number of date shards in this table' as `stats__date_shards__description`,\n        is_date_shard as `stats__date_shards__include`,\n\n        'Shard (min)' as `stats__date_shard_min__label`,\n        table_shards.shard_min as `stats__date_shard_min__value`,\n        'The first date shard in this table' as `stats__date_shard_min__description`,\n        is_date_shard as `stats__date_shard_min__include`,\n\n        'Shard (max)' as `stats__date_shard_max__label`,\n        table_shards.shard_max as `stats__date_shard_max__value`,\n        'The last date shard in this table' as `stats__date_shard_max__description`,\n        is_date_shard as `stats__date_shard_max__include`,\n\n        '# Rows' as `stats__num_rows__label`,\n        row_count as `stats__num_rows__value`,\n        'Approximate count of rows in this table' as `stats__num_rows__description`,\n        (unsharded_tables.table_type = 'table') as `stats__num_rows__include`,\n\n        'Approximate Size' as `stats__num_bytes__label`,\n        size_bytes as `stats__num_bytes__value`,\n        'Approximate size of table as reported by BigQuery' as `stats__num_bytes__description`,\n        (unsharded_tables.table_type = 'table') as `stats__num_bytes__include`,\n\n        'Partitioned By' as `stats__partitioning_type__label`,\n        partition_column as `stats__partitioning_type__value`,\n        'The partitioning column for this table' as `stats__partitioning_type__description`,\n        is_partitioned as `stats__partitioning_type__include`,\n\n        'Clustered By' as `stats__clustering_fields__label`,\n        clustering_columns as `stats__clustering_fields__value`,\n        'The clustering columns for this table' as `stats__clustering_fields__description`,\n        is_clustered as `stats__clustering_fields__include`\n\n    -- join using relation_id (an actual relation, not a shard prefix) to make\n    -- sure that column metadata is picked up through the join. This will only\n    -- return the column information for the \"max\" table in a date-sharded table set\n    from unsharded_tables\n    left join table_options using (relation_id)\n    left join columns using (relation_id)\n    left join column_stats using (relation_id)\n  {%- endset -%}\n\n  {%- endif -%}\n\n  {{ return(run_query(query)) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.258965, "supported_languages": null}, "macro.dbt_bigquery.partition_by": {"name": "partition_by", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.partition_by", "macro_sql": "{% macro partition_by(partition_config) -%}\n    {%- if partition_config is none -%}\n      {% do return('') %}\n    {%- elif partition_config.data_type | lower in ('date','timestamp','datetime') -%}\n        partition by {{ partition_config.render() }}\n    {%- elif partition_config.data_type | lower in ('int64') -%}\n        {%- set range = partition_config.range -%}\n        partition by range_bucket(\n            {{ partition_config.field }},\n            generate_array({{ range.start}}, {{ range.end }}, {{ range.interval }})\n        )\n    {%- endif -%}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.264149, "supported_languages": null}, "macro.dbt_bigquery.cluster_by": {"name": "cluster_by", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.cluster_by", "macro_sql": "{% macro cluster_by(raw_cluster_by) %}\n  {%- if raw_cluster_by is not none -%}\n  cluster by {% if raw_cluster_by is string -%}\n    {% set raw_cluster_by = [raw_cluster_by] %}\n  {%- endif -%}\n  {%- for cluster in raw_cluster_by -%}\n    {{ cluster }}\n    {%- if not loop.last -%}, {% endif -%}\n  {%- endfor -%}\n\n  {% endif %}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.264547, "supported_languages": null}, "macro.dbt_bigquery.bigquery_options": {"name": "bigquery_options", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery_options", "macro_sql": "{% macro bigquery_options(opts) %}\n  {% set options -%}\n    OPTIONS({% for opt_key, opt_val in opts.items() %}\n      {{ opt_key }}={{ opt_val }}{{ \",\" if not loop.last }}\n    {% endfor %})\n  {%- endset %}\n  {%- do return(options) -%}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.2649238, "supported_languages": null}, "macro.dbt_bigquery.bigquery_table_options": {"name": "bigquery_table_options", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery_table_options", "macro_sql": "{% macro bigquery_table_options(config, node, temporary) %}\n  {% set opts = adapter.get_table_options(config, node, temporary) %}\n  {%- do return(bigquery_options(opts)) -%}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.265206, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_table_as": {"name": "bigquery__create_table_as", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_table_as", "macro_sql": "{% macro bigquery__create_table_as(temporary, relation, compiled_code, language='sql') -%}\n  {%- if language == 'sql' -%}\n    {%- set raw_partition_by = config.get('partition_by', none) -%}\n    {%- set raw_cluster_by = config.get('cluster_by', none) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {%- set partition_config = adapter.parse_partition_by(raw_partition_by) -%}\n\n    {{ sql_header if sql_header is not none }}\n\n    create or replace table {{ relation }}\n      {%- set contract_config = config.get('contract') -%}\n      {%- if contract_config.enforced -%}\n        {{ get_assert_columns_equivalent(compiled_code) }}\n        {{ get_table_columns_and_constraints() }}\n        {%- set compiled_code = get_select_subquery(compiled_code) %}\n      {% endif %}\n    {{ partition_by(partition_config) }}\n    {{ cluster_by(raw_cluster_by) }}\n\n    {{ bigquery_table_options(config, model, temporary) }}\n    as (\n      {{ compiled_code }}\n    );\n  {%- elif language == 'python' -%}\n    {#--\n    N.B. Python models _can_ write to temp views HOWEVER they use a different session\n    and have already expired by the time they need to be used (I.E. in merges for incremental models)\n\n    TODO: Deep dive into spark sessions to see if we can reuse a single session for an entire\n    dbt invocation.\n     --#}\n\n    {#-- when a user wants to change the schema of an existing relation, they must intentionally drop the table in the dataset --#}\n    {%- set old_relation = adapter.get_relation(database=relation.database, schema=relation.schema, identifier=relation.identifier) -%}\n    {%- if (old_relation.is_table and (should_full_refresh())) -%}\n      {% do adapter.drop_relation(relation) %}\n    {%- endif -%}\n    {{ py_write_table(compiled_code=compiled_code, target_relation=relation.quote(database=False, schema=False, identifier=False)) }}\n  {%- else -%}\n    {% do exceptions.raise_compiler_error(\"bigquery__create_table_as macro didn't get supported language, it got %s\" % language) %}\n  {%- endif -%}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.get_assert_columns_equivalent", "macro.dbt.get_table_columns_and_constraints", "macro.dbt.get_select_subquery", "macro.dbt_bigquery.partition_by", "macro.dbt_bigquery.cluster_by", "macro.dbt_bigquery.bigquery_table_options", "macro.dbt.should_full_refresh", "macro.dbt_bigquery.py_write_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.2669141, "supported_languages": null}, "macro.dbt_bigquery.bigquery_view_options": {"name": "bigquery_view_options", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery_view_options", "macro_sql": "{% macro bigquery_view_options(config, node) %}\n  {% set opts = adapter.get_view_options(config, node) %}\n  {%- do return(bigquery_options(opts)) -%}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.267253, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_view_as": {"name": "bigquery__create_view_as", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_view_as", "macro_sql": "{% macro bigquery__create_view_as(relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n\n  create or replace view {{ relation }}\n  {{ bigquery_view_options(config, model) }}\n  {%- set contract_config = config.get('contract') -%}\n  {%- if contract_config.enforced -%}\n    {{ get_assert_columns_equivalent(sql) }}\n  {%- endif %}\n  as {{ sql }};\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery_view_options", "macro.dbt.get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.267806, "supported_languages": null}, "macro.dbt_bigquery.bigquery__drop_schema": {"name": "bigquery__drop_schema", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__drop_schema", "macro_sql": "{% macro bigquery__drop_schema(relation) -%}\n  {{ adapter.drop_schema(relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.267956, "supported_languages": null}, "macro.dbt_bigquery.bigquery__drop_relation": {"name": "bigquery__drop_relation", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__drop_relation", "macro_sql": "{% macro bigquery__drop_relation(relation) -%}\n  {% call statement('drop_relation') -%}\n    drop {{ relation.type }} if exists {{ relation }}\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.268173, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_columns_in_relation": {"name": "bigquery__get_columns_in_relation", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_columns_in_relation", "macro_sql": "{% macro bigquery__get_columns_in_relation(relation) -%}\n  {{ return(adapter.get_columns_in_relation(relation)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.268332, "supported_languages": null}, "macro.dbt_bigquery.bigquery__list_relations_without_caching": {"name": "bigquery__list_relations_without_caching", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__list_relations_without_caching", "macro_sql": "{% macro bigquery__list_relations_without_caching(schema_relation) -%}\n  {{ return(adapter.list_relations_without_caching(schema_relation)) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.268488, "supported_languages": null}, "macro.dbt_bigquery.bigquery__list_schemas": {"name": "bigquery__list_schemas", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__list_schemas", "macro_sql": "{% macro bigquery__list_schemas(database) -%}\n  {{ return(adapter.list_schemas(database)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.268642, "supported_languages": null}, "macro.dbt_bigquery.bigquery__check_schema_exists": {"name": "bigquery__check_schema_exists", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__check_schema_exists", "macro_sql": "{% macro bigquery__check_schema_exists(information_schema, schema) %}\n  {{ return(adapter.check_schema_exists(information_schema.database, schema)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.268833, "supported_languages": null}, "macro.dbt_bigquery.bigquery__persist_docs": {"name": "bigquery__persist_docs", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__persist_docs", "macro_sql": "{% macro bigquery__persist_docs(relation, model, for_relation, for_columns) -%}\n  {% if for_columns and config.persist_column_docs() and model.columns %}\n    {% do alter_column_comment(relation, model.columns) %}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.269205, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_column_comment": {"name": "bigquery__alter_column_comment", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_column_comment", "macro_sql": "{% macro bigquery__alter_column_comment(relation, column_dict) -%}\n  {% do adapter.update_columns(relation, column_dict) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.269372, "supported_languages": null}, "macro.dbt_bigquery.bigquery__rename_relation": {"name": "bigquery__rename_relation", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__rename_relation", "macro_sql": "{% macro bigquery__rename_relation(from_relation, to_relation) -%}\n  {% do adapter.rename_relation(from_relation, to_relation) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.269533, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_relation_add_columns": {"name": "bigquery__alter_relation_add_columns", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_relation_add_columns", "macro_sql": "{% macro bigquery__alter_relation_add_columns(relation, add_columns) %}\n\n  {% set sql -%}\n\n     alter {{ relation.type }} {{ relation }}\n        {% for column in add_columns %}\n          add column {{ column.name }} {{ column.data_type }}{{ ',' if not loop.last }}\n        {% endfor %}\n\n  {%- endset -%}\n\n  {{ return(run_query(sql)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.269954, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_relation_drop_columns": {"name": "bigquery__alter_relation_drop_columns", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_relation_drop_columns", "macro_sql": "{% macro bigquery__alter_relation_drop_columns(relation, drop_columns) %}\n\n  {% set sql -%}\n\n     alter {{ relation.type }} {{ relation }}\n\n        {% for column in drop_columns %}\n          drop column {{ column.name }}{{ ',' if not loop.last }}\n        {% endfor %}\n\n  {%- endset -%}\n\n  {{ return(run_query(sql)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.270354, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_column_type": {"name": "bigquery__alter_column_type", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_column_type", "macro_sql": "{% macro bigquery__alter_column_type(relation, column_name, new_column_type) -%}\n  {#-- Changing a column's data type using a query requires you to scan the entire table.\n    The query charges can be significant if the table is very large.\n\n    https://cloud.google.com/bigquery/docs/manually-changing-schemas#changing_a_columns_data_type\n  #}\n  {% set relation_columns = get_columns_in_relation(relation) %}\n\n  {% set sql %}\n    select\n      {%- for col in relation_columns -%}\n        {% if col.column == column_name %}\n          CAST({{ col.quoted }} AS {{ new_column_type }}) AS {{ col.quoted }}\n        {%- else %}\n          {{ col.quoted }}\n        {%- endif %}\n        {%- if not loop.last %},{% endif -%}\n      {%- endfor %}\n    from {{ relation }}\n  {% endset %}\n\n  {% call statement('alter_column_type') %}\n    {{ create_table_as(False, relation, sql)}}\n  {%- endcall %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_columns_in_relation", "macro.dbt.statement", "macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.271053, "supported_languages": null}, "macro.dbt_bigquery.bigquery__test_unique": {"name": "bigquery__test_unique", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__test_unique", "macro_sql": "{% macro bigquery__test_unique(model, column_name) %}\n\nwith dbt_test__target as (\n\n  select {{ column_name }} as unique_field\n  from {{ model }}\n  where {{ column_name }} is not null\n\n)\n\nselect\n    unique_field,\n    count(*) as n_records\n\nfrom dbt_test__target\ngroup by unique_field\nhaving count(*) > 1\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.271231, "supported_languages": null}, "macro.dbt_bigquery.bigquery__upload_file": {"name": "bigquery__upload_file", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__upload_file", "macro_sql": "{% macro bigquery__upload_file(local_file_path, database, table_schema, table_name) %}\n\n  {{ log(\"kwargs: \" ~ kwargs) }}\n\n  {% do adapter.upload_file(local_file_path, database, table_schema, table_name, kwargs=kwargs) %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.27153, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_csv_table": {"name": "bigquery__create_csv_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_csv_table", "macro_sql": "{% macro bigquery__create_csv_table(model, agate_table) %}\n    -- no-op\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.271935, "supported_languages": null}, "macro.dbt_bigquery.bigquery__reset_csv_table": {"name": "bigquery__reset_csv_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "unique_id": "macro.dbt_bigquery.bigquery__reset_csv_table", "macro_sql": "{% macro bigquery__reset_csv_table(model, full_refresh, old_relation, agate_table) %}\n    {{ adapter.drop_relation(old_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.272105, "supported_languages": null}, "macro.dbt_bigquery.bigquery__load_csv_rows": {"name": "bigquery__load_csv_rows", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "unique_id": "macro.dbt_bigquery.bigquery__load_csv_rows", "macro_sql": "{% macro bigquery__load_csv_rows(model, agate_table) %}\n\n  {%- set column_override = model['config'].get('column_types', {}) -%}\n  {{ adapter.load_dataframe(model['database'], model['schema'], model['alias'],\n  \t\t\t\t\t\t\tagate_table, column_override) }}\n\n  {% call statement() %}\n    alter table {{ this.render() }} set {{ bigquery_table_options(config, model) }}\n  {% endcall %}\n\n  {% if config.persist_relation_docs() and 'description' in model %}\n\n  \t{{ adapter.update_table_description(model['database'], model['schema'], model['alias'], model['description']) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_bigquery.bigquery_table_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.272914, "supported_languages": null}, "macro.dbt_bigquery.bigquery__handle_existing_table": {"name": "bigquery__handle_existing_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/view.sql", "original_file_path": "macros/materializations/view.sql", "unique_id": "macro.dbt_bigquery.bigquery__handle_existing_table", "macro_sql": "{% macro bigquery__handle_existing_table(full_refresh, old_relation) %}\n    {%- if full_refresh -%}\n      {{ adapter.drop_relation(old_relation) }}\n    {%- else -%}\n      {{ exceptions.relation_wrong_type(old_relation, 'view') }}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.273514, "supported_languages": null}, "macro.dbt_bigquery.materialization_view_bigquery": {"name": "materialization_view_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/view.sql", "original_file_path": "macros/materializations/view.sql", "unique_id": "macro.dbt_bigquery.materialization_view_bigquery", "macro_sql": "{% materialization view, adapter='bigquery' -%}\n    -- grab current tables grants config for comparision later on\n    {% set grant_config = config.get('grants') %}\n\n    {% set to_return = create_or_replace_view() %}\n\n    {% set target_relation = this.incorporate(type='view') %}\n\n    {% do persist_docs(target_relation, model) %}\n\n    {% if config.get('grant_access_to') %}\n      {% for grant_target_dict in config.get('grant_access_to') %}\n        {% do adapter.grant_access_to(this, 'view', None, grant_target_dict) %}\n      {% endfor %}\n    {% endif %}\n\n    {% do return(to_return) %}\n\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.create_or_replace_view", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.2742279, "supported_languages": ["sql"]}, "macro.dbt_bigquery.materialization_table_bigquery": {"name": "materialization_table_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/table.sql", "original_file_path": "macros/materializations/table.sql", "unique_id": "macro.dbt_bigquery.materialization_table_bigquery", "macro_sql": "{% materialization table, adapter='bigquery', supported_languages=['sql', 'python']-%}\n\n  {%- set language = model['language'] -%}\n  {%- set identifier = model['alias'] -%}\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n  {%- set exists_not_as_table = (old_relation is not none and not old_relation.is_table) -%}\n  {%- set target_relation = api.Relation.create(database=database, schema=schema, identifier=identifier, type='table') -%}\n\n  -- grab current tables grants config for comparision later on\n  {%- set grant_config = config.get('grants') -%}\n\n  {{ run_hooks(pre_hooks) }}\n\n  {#\n      We only need to drop this thing if it is not a table.\n      If it _is_ already a table, then we can overwrite it without downtime\n      Unlike table -> view, no need for `--full-refresh`: dropping a view is no big deal\n  #}\n  {%- if exists_not_as_table -%}\n      {{ adapter.drop_relation(old_relation) }}\n  {%- endif -%}\n\n  -- build model\n  {%- set raw_partition_by = config.get('partition_by', none) -%}\n  {%- set partition_by = adapter.parse_partition_by(raw_partition_by) -%}\n  {%- set cluster_by = config.get('cluster_by', none) -%}\n  {% if not adapter.is_replaceable(old_relation, partition_by, cluster_by) %}\n    {% do log(\"Hard refreshing \" ~ old_relation ~ \" because it is not replaceable\") %}\n    {% do adapter.drop_relation(old_relation) %}\n  {% endif %}\n\n  -- build model\n  {%- call statement('main', language=language) -%}\n    {{ create_table_as(False, target_relation, compiled_code, language) }}\n  {%- endcall -%}\n\n  {{ run_hooks(post_hooks) }}\n\n  {% set should_revoke = should_revoke(old_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.create_table_as", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.277698, "supported_languages": ["sql", "python"]}, "macro.dbt_bigquery.py_write_table": {"name": "py_write_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/table.sql", "original_file_path": "macros/materializations/table.sql", "unique_id": "macro.dbt_bigquery.py_write_table", "macro_sql": "{% macro py_write_table(compiled_code, target_relation) %}\nfrom pyspark.sql import SparkSession\n\nspark = SparkSession.builder.appName('smallTest').getOrCreate()\n\nspark.conf.set(\"viewsEnabled\",\"true\")\nspark.conf.set(\"temporaryGcsBucket\",\"{{target.gcs_bucket}}\")\n\n{{ compiled_code }}\ndbt = dbtObj(spark.read.format(\"bigquery\").load)\ndf = model(dbt, spark)\n\n# COMMAND ----------\n# this is materialization code dbt generated, please do not modify\n\nimport pyspark\n# make sure pandas exists before using it\ntry:\n  import pandas\n  pandas_available = True\nexcept ImportError:\n  pandas_available = False\n\n# make sure pyspark.pandas exists before using it\ntry:\n  import pyspark.pandas\n  pyspark_pandas_api_available = True\nexcept ImportError:\n  pyspark_pandas_api_available = False\n\n# make sure databricks.koalas exists before using it\ntry:\n  import databricks.koalas\n  koalas_available = True\nexcept ImportError:\n  koalas_available = False\n\n# preferentially convert pandas DataFrames to pandas-on-Spark or Koalas DataFrames first\n# since they know how to convert pandas DataFrames better than `spark.createDataFrame(df)`\n# and converting from pandas-on-Spark to Spark DataFrame has no overhead\nif pyspark_pandas_api_available and pandas_available and isinstance(df, pandas.core.frame.DataFrame):\n  df = pyspark.pandas.frame.DataFrame(df)\nelif koalas_available and pandas_available and isinstance(df, pandas.core.frame.DataFrame):\n  df = databricks.koalas.frame.DataFrame(df)\n\n# convert to pyspark.sql.dataframe.DataFrame\nif isinstance(df, pyspark.sql.dataframe.DataFrame):\n  pass  # since it is already a Spark DataFrame\nelif pyspark_pandas_api_available and isinstance(df, pyspark.pandas.frame.DataFrame):\n  df = df.to_spark()\nelif koalas_available and isinstance(df, databricks.koalas.frame.DataFrame):\n  df = df.to_spark()\nelif pandas_available and isinstance(df, pandas.core.frame.DataFrame):\n  df = spark.createDataFrame(df)\nelse:\n  msg = f\"{type(df)} is not a supported type for dbt Python materialization\"\n  raise Exception(msg)\n\ndf.write \\\n  .mode(\"overwrite\") \\\n  .format(\"bigquery\") \\\n  .option(\"writeMethod\", \"direct\").option(\"writeDisposition\", 'WRITE_TRUNCATE') \\\n  .save(\"{{target_relation}}\")\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.2780852, "supported_languages": null}, "macro.dbt_bigquery.materialization_copy_bigquery": {"name": "materialization_copy_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/copy.sql", "original_file_path": "macros/materializations/copy.sql", "unique_id": "macro.dbt_bigquery.materialization_copy_bigquery", "macro_sql": "{% materialization copy, adapter='bigquery' -%}\n\n  {# Setup #}\n  {{ run_hooks(pre_hooks) }}\n\n  {% set destination = this.incorporate(type='table') %}\n\n  {# there can be several ref() or source() according to BQ copy API docs #}\n  {# cycle over ref() and source() to create source tables array #}\n  {% set source_array = [] %}\n  {% for ref_table in model.refs %}\n    {{ source_array.append(ref(*ref_table)) }}\n  {% endfor %}\n\n  {% for src_table in model.sources %}\n    {{ source_array.append(source(*src_table)) }}\n  {% endfor %}\n\n  {# Call adapter copy_table function #}\n  {%- set result_str = adapter.copy_table(\n      source_array,\n      destination,\n      config.get('copy_materialization', default = 'table')) -%}\n\n  {{ store_result('main', response=result_str) }}\n\n  {# Clean up #}\n  {{ run_hooks(post_hooks) }}\n  {%- do apply_grants(target_relation, grant_config) -%}\n  {{ adapter.commit() }}\n\n  {{ return({'relations': [destination]}) }}\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.279349, "supported_languages": ["sql"]}, "macro.dbt_bigquery.dbt_bigquery_validate_get_incremental_strategy": {"name": "dbt_bigquery_validate_get_incremental_strategy", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.dbt_bigquery_validate_get_incremental_strategy", "macro_sql": "{% macro dbt_bigquery_validate_get_incremental_strategy(config) %}\n  {#-- Find and validate the incremental strategy #}\n  {%- set strategy = config.get(\"incremental_strategy\") or 'merge' -%}\n\n  {% set invalid_strategy_msg -%}\n    Invalid incremental strategy provided: {{ strategy }}\n    Expected one of: 'merge', 'insert_overwrite'\n  {%- endset %}\n  {% if strategy not in ['merge', 'insert_overwrite'] %}\n    {% do exceptions.raise_compiler_error(invalid_strategy_msg) %}\n  {% endif %}\n\n  {% do return(strategy) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.2816582, "supported_languages": null}, "macro.dbt_bigquery.source_sql_with_partition": {"name": "source_sql_with_partition", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.source_sql_with_partition", "macro_sql": "{% macro source_sql_with_partition(partition_by, source_sql) %}\n\n  {%- if partition_by.time_ingestion_partitioning %}\n    {{ return(wrap_with_time_ingestion_partitioning_sql(build_partition_time_exp(partition_by.field), source_sql, False))  }}\n  {% else %}\n    {{ return(source_sql)  }}\n  {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro.dbt_bigquery.build_partition_time_exp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.281996, "supported_languages": null}, "macro.dbt_bigquery.bq_create_table_as": {"name": "bq_create_table_as", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.bq_create_table_as", "macro_sql": "{% macro bq_create_table_as(is_time_ingestion_partitioning, temporary, relation, compiled_code, language='sql') %}\n  {% if is_time_ingestion_partitioning and language == 'python' %}\n    {% do exceptions.raise_compiler_error(\n      \"Python models do not support ingestion time partitioning\"\n    ) %}\n  {% endif %}\n  {% if is_time_ingestion_partitioning and language == 'sql' %}\n    {#-- Create the table before inserting data as ingestion time partitioned tables can't be created with the transformed data --#}\n    {% do run_query(create_ingestion_time_partitioned_table_as_sql(temporary, relation, compiled_code)) %}\n    {{ return(bq_insert_into_ingestion_time_partitioned_table_sql(relation, compiled_code)) }}\n  {% else %}\n    {{ return(create_table_as(temporary, relation, compiled_code, language)) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt_bigquery.create_ingestion_time_partitioned_table_as_sql", "macro.dbt_bigquery.bq_insert_into_ingestion_time_partitioned_table_sql", "macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.28267, "supported_languages": null}, "macro.dbt_bigquery.bq_generate_incremental_build_sql": {"name": "bq_generate_incremental_build_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.bq_generate_incremental_build_sql", "macro_sql": "{% macro bq_generate_incremental_build_sql(\n    strategy, tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions, incremental_predicates\n) %}\n  {#-- if partitioned, use BQ scripting to get the range of partition values to be updated --#}\n  {% if strategy == 'insert_overwrite' %}\n\n    {% set build_sql = bq_generate_incremental_insert_overwrite_build_sql(\n        tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n    ) %}\n\n  {% else %} {# strategy == 'merge' #}\n\n    {% set build_sql = bq_generate_incremental_merge_build_sql(\n        tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, incremental_predicates\n    ) %}\n\n  {% endif %}\n\n  {{ return(build_sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_generate_incremental_insert_overwrite_build_sql", "macro.dbt_bigquery.bq_generate_incremental_merge_build_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.283343, "supported_languages": null}, "macro.dbt_bigquery.materialization_incremental_bigquery": {"name": "materialization_incremental_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.materialization_incremental_bigquery", "macro_sql": "{% materialization incremental, adapter='bigquery', supported_languages=['sql', 'python'] -%}\n\n  {%- set unique_key = config.get('unique_key') -%}\n  {%- set full_refresh_mode = (should_full_refresh()) -%}\n  {%- set language = model['language'] %}\n\n  {%- set target_relation = this %}\n  {%- set existing_relation = load_relation(this) %}\n  {%- set tmp_relation = make_temp_relation(this) %}\n\n  {#-- Validate early so we don't run SQL if the strategy is invalid --#}\n  {% set strategy = dbt_bigquery_validate_get_incremental_strategy(config) -%}\n\n  {%- set raw_partition_by = config.get('partition_by', none) -%}\n  {%- set partition_by = adapter.parse_partition_by(raw_partition_by) -%}\n  {%- set partitions = config.get('partitions', none) -%}\n  {%- set cluster_by = config.get('cluster_by', none) -%}\n\n  {% set on_schema_change = incremental_validate_on_schema_change(config.get('on_schema_change'), default='ignore') %}\n  {% set incremental_predicates = config.get('predicates', default=none) or config.get('incremental_predicates', default=none) %}\n\n   -- grab current tables grants config for comparison later on\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks) }}\n\n  {% if partition_by.copy_partitions is true and strategy != 'insert_overwrite' %} {#-- We can't copy partitions with merge strategy --#}\n        {% set wrong_strategy_msg -%}\n        The 'copy_partitions' option requires the 'incremental_strategy' option to be set to 'insert_overwrite'.\n        {%- endset %}\n        {% do exceptions.raise_compiler_error(wrong_strategy_msg) %}\n\n  {% elif existing_relation is none %}\n      {%- call statement('main', language=language) -%}\n        {{ bq_create_table_as(partition_by.time_ingestion_partitioning, False, target_relation, compiled_code, language) }}\n      {%- endcall -%}\n\n  {% elif existing_relation.is_view %}\n      {#-- There's no way to atomically replace a view with a table on BQ --#}\n      {{ adapter.drop_relation(existing_relation) }}\n      {%- call statement('main', language=language) -%}\n        {{ bq_create_table_as(partition_by.time_ingestion_partitioning, False, target_relation, compiled_code, language) }}\n      {%- endcall -%}\n\n  {% elif full_refresh_mode %}\n      {#-- If the partition/cluster config has changed, then we must drop and recreate --#}\n      {% if not adapter.is_replaceable(existing_relation, partition_by, cluster_by) %}\n          {% do log(\"Hard refreshing \" ~ existing_relation ~ \" because it is not replaceable\") %}\n          {{ adapter.drop_relation(existing_relation) }}\n      {% endif %}\n      {%- call statement('main', language=language) -%}\n        {{ bq_create_table_as(partition_by.time_ingestion_partitioning, False, target_relation, compiled_code, language) }}\n      {%- endcall -%}\n\n  {% else %}\n    {%- if language == 'python' and strategy == 'insert_overwrite' -%}\n      {#-- This lets us move forward assuming no python will be directly templated into a query --#}\n      {%- set python_unsupported_msg -%}\n        The 'insert_overwrite' strategy is not yet supported for python models.\n      {%- endset %}\n      {% do exceptions.raise_compiler_error(python_unsupported_msg) %}\n    {%- endif -%}\n\n    {% set tmp_relation_exists = false %}\n    {% if on_schema_change != 'ignore' or language == 'python' %}\n      {#-- Check first, since otherwise we may not build a temp table --#}\n      {#-- Python always needs to create a temp table --#}\n      {%- call statement('create_tmp_relation', language=language) -%}\n        {{ declare_dbt_max_partition(this, partition_by, compiled_code, language) +\n           bq_create_table_as(partition_by.time_ingestion_partitioning, True, tmp_relation, compiled_code, language)\n        }}\n      {%- endcall -%}\n      {% set tmp_relation_exists = true %}\n      {#-- Process schema changes. Returns dict of changes if successful. Use source columns for upserting/merging --#}\n      {% set dest_columns = process_schema_changes(on_schema_change, tmp_relation, existing_relation) %}\n    {% endif %}\n\n    {% if not dest_columns %}\n      {% set dest_columns = adapter.get_columns_in_relation(existing_relation) %}\n    {% endif %}\n    {% if partition_by.time_ingestion_partitioning %}\n      {% set dest_columns = adapter.add_time_ingestion_partition_column(dest_columns) %}\n    {% endif %}\n    {% set build_sql = bq_generate_incremental_build_sql(\n        strategy, tmp_relation, target_relation, compiled_code, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, partition_by.copy_partitions, incremental_predicates\n    ) %}\n\n    {%- call statement('main') -%}\n      {{ build_sql }}\n    {% endcall %}\n\n    {%- if language == 'python' and tmp_relation -%}\n      {{ adapter.drop_relation(tmp_relation) }}\n    {%- endif -%}\n\n  {% endif %}\n\n  {{ run_hooks(post_hooks) }}\n\n  {% set target_relation = this.incorporate(type='table') %}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh", "macro.dbt.load_relation", "macro.dbt.make_temp_relation", "macro.dbt_bigquery.dbt_bigquery_validate_get_incremental_strategy", "macro.dbt.incremental_validate_on_schema_change", "macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt_bigquery.bq_create_table_as", "macro.dbt_bigquery.declare_dbt_max_partition", "macro.dbt.process_schema_changes", "macro.dbt_bigquery.bq_generate_incremental_build_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.287654, "supported_languages": ["sql", "python"]}, "macro.dbt_bigquery.bigquery__snapshot_hash_arguments": {"name": "bigquery__snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/snapshot.sql", "original_file_path": "macros/materializations/snapshot.sql", "unique_id": "macro.dbt_bigquery.bigquery__snapshot_hash_arguments", "macro_sql": "{% macro bigquery__snapshot_hash_arguments(args) -%}\n  to_hex(md5(concat({%- for arg in args -%}\n    coalesce(cast({{ arg }} as string), ''){% if not loop.last %}, '|',{% endif -%}\n  {%- endfor -%}\n  )))\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.288085, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_columns": {"name": "bigquery__create_columns", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/snapshot.sql", "original_file_path": "macros/materializations/snapshot.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_columns", "macro_sql": "{% macro bigquery__create_columns(relation, columns) %}\n  {{ adapter.alter_table_add_columns(relation, columns) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.2882528, "supported_languages": null}, "macro.dbt_bigquery.bigquery__post_snapshot": {"name": "bigquery__post_snapshot", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/snapshot.sql", "original_file_path": "macros/materializations/snapshot.sql", "unique_id": "macro.dbt_bigquery.bigquery__post_snapshot", "macro_sql": "{% macro bigquery__post_snapshot(staging_relation) %}\n  -- Clean up the snapshot temp table\n  {% do drop_relation(staging_relation) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.drop_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.288394, "supported_languages": null}, "macro.dbt_bigquery.bq_generate_incremental_merge_build_sql": {"name": "bq_generate_incremental_merge_build_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/merge.sql", "original_file_path": "macros/materializations/incremental_strategy/merge.sql", "unique_id": "macro.dbt_bigquery.bq_generate_incremental_merge_build_sql", "macro_sql": "{% macro bq_generate_incremental_merge_build_sql(\n    tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, incremental_predicates\n) %}\n    {%- set source_sql -%}\n        {%- if tmp_relation_exists -%}\n        (\n        select\n        {% if partition_by.time_ingestion_partitioning -%}\n        _PARTITIONTIME,\n        {%- endif -%}\n        * from {{ tmp_relation }}\n        )\n        {%- else -%} {#-- wrap sql in parens to make it a subquery --#}\n        (\n            {%- if partition_by.time_ingestion_partitioning -%}\n            {{ wrap_with_time_ingestion_partitioning_sql(build_partition_time_exp(partition_by), sql, True) }}\n            {%- else -%}\n            {{sql}}\n            {%- endif %}\n        )\n        {%- endif -%}\n    {%- endset -%}\n\n    {% set build_sql = get_merge_sql(target_relation, source_sql, unique_key, dest_columns, incremental_predicates) %}\n\n    {{ return(build_sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro.dbt_bigquery.build_partition_time_exp", "macro.dbt.get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.289313, "supported_languages": null}, "macro.dbt_bigquery.build_partition_time_exp": {"name": "build_partition_time_exp", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/common.sql", "original_file_path": "macros/materializations/incremental_strategy/common.sql", "unique_id": "macro.dbt_bigquery.build_partition_time_exp", "macro_sql": "{% macro build_partition_time_exp(partition_by) %}\n  {% if partition_by.data_type == 'timestamp' %}\n    {% set partition_value = partition_by.field %}\n  {% else %}\n    {% set partition_value = 'timestamp(' + partition_by.field + ')' %}\n  {% endif %}\n  {{ return({'value': partition_value, 'field': partition_by.field}) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.289953, "supported_languages": null}, "macro.dbt_bigquery.declare_dbt_max_partition": {"name": "declare_dbt_max_partition", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/common.sql", "original_file_path": "macros/materializations/incremental_strategy/common.sql", "unique_id": "macro.dbt_bigquery.declare_dbt_max_partition", "macro_sql": "{% macro declare_dbt_max_partition(relation, partition_by, compiled_code, language='sql') %}\n\n  {#-- TODO: revisit partitioning with python models --#}\n  {%- if '_dbt_max_partition' in compiled_code and language == 'sql' -%}\n\n    declare _dbt_max_partition {{ partition_by.data_type_for_partition() }} default (\n      select max({{ partition_by.field }}) from {{ this }}\n      where {{ partition_by.field }} is not null\n    );\n\n  {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.290312, "supported_languages": null}, "macro.dbt_bigquery.bq_generate_incremental_insert_overwrite_build_sql": {"name": "bq_generate_incremental_insert_overwrite_build_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_generate_incremental_insert_overwrite_build_sql", "macro_sql": "{% macro bq_generate_incremental_insert_overwrite_build_sql(\n    tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, on_schema_change, copy_partitions\n) %}\n    {% if partition_by is none %}\n      {% set missing_partition_msg -%}\n      The 'insert_overwrite' strategy requires the `partition_by` config.\n      {%- endset %}\n      {% do exceptions.raise_compiler_error(missing_partition_msg) %}\n    {% endif %}\n\n    {% set build_sql = bq_insert_overwrite_sql(\n        tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, on_schema_change, copy_partitions\n    ) %}\n\n    {{ return(build_sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_insert_overwrite_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.29283, "supported_languages": null}, "macro.dbt_bigquery.bq_copy_partitions": {"name": "bq_copy_partitions", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_copy_partitions", "macro_sql": "{% macro bq_copy_partitions(tmp_relation, target_relation, partitions, partition_by) %}\n\n  {% for partition in partitions %}\n    {% if partition_by.granularity == 'hour' %}\n      {% set partition = partition.strftime(\"%Y%m%d%H\") %}\n    {% elif partition_by.granularity == 'day' %}\n      {% set partition = partition.strftime(\"%Y%m%d\") %}\n    {% elif partition_by.granularity == 'month' %}\n      {% set partition = partition.strftime(\"%Y%m\") %}\n    {% elif partition_by.granularity == 'year' %}\n      {% set partition = partition.strftime(\"%Y\") %}\n    {% endif %}\n    {% set tmp_relation_partitioned = api.Relation.create(database=tmp_relation.database, schema=tmp_relation.schema, identifier=tmp_relation.table ~ '$' ~ partition, type=tmp_relation.type) %}\n    {% set target_relation_partitioned = api.Relation.create(database=target_relation.database, schema=target_relation.schema, identifier=target_relation.table ~ '$' ~ partition, type=target_relation.type) %}\n    {% do adapter.copy_table(tmp_relation_partitioned, target_relation_partitioned, \"table\") %}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.294057, "supported_languages": null}, "macro.dbt_bigquery.bq_insert_overwrite_sql": {"name": "bq_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_insert_overwrite_sql", "macro_sql": "{% macro bq_insert_overwrite_sql(\n    tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n) %}\n  {% if partitions is not none and partitions != [] %} {# static #}\n      {{ bq_static_insert_overwrite_sql(tmp_relation, target_relation, sql, partition_by, partitions, dest_columns, copy_partitions) }}\n  {% else %} {# dynamic #}\n      {{ bq_dynamic_insert_overwrite_sql(tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_static_insert_overwrite_sql", "macro.dbt_bigquery.bq_dynamic_insert_overwrite_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.29464, "supported_languages": null}, "macro.dbt_bigquery.bq_static_insert_overwrite_sql": {"name": "bq_static_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_static_insert_overwrite_sql", "macro_sql": "{% macro bq_static_insert_overwrite_sql(\n    tmp_relation, target_relation, sql, partition_by, partitions, dest_columns, copy_partitions\n) %}\n\n      {% set predicate -%}\n          {{ partition_by.render_wrapped(alias='DBT_INTERNAL_DEST') }} in (\n              {{ partitions | join (', ') }}\n          )\n      {%- endset %}\n\n      {%- set source_sql -%}\n        (\n          {%- if partition_by.time_ingestion_partitioning -%}\n          {{ wrap_with_time_ingestion_partitioning_sql(build_partition_time_exp(partition_by), sql, True) }}\n          {%- else -%}\n          {{sql}}\n          {%- endif -%}\n        )\n      {%- endset -%}\n\n      {% if copy_partitions %}\n          {% do bq_copy_partitions(tmp_relation, target_relation, partitions, partition_by) %}\n      {% else %}\n\n      {#-- Because we're putting the model SQL _directly_ into the MERGE statement,\n         we need to prepend the MERGE statement with the user-configured sql_header,\n         which may be needed to resolve that model SQL (e.g. referencing a variable or UDF in the header)\n         in the \"dynamic\" case, we save the model SQL result as a temp table first, wherein the\n         sql_header is included by the create_table_as macro.\n      #}\n      {{ get_insert_overwrite_merge_sql(target_relation, source_sql, dest_columns, [predicate], include_sql_header=true) }}\n\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro.dbt_bigquery.build_partition_time_exp", "macro.dbt_bigquery.bq_copy_partitions", "macro.dbt.get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.295454, "supported_languages": null}, "macro.dbt_bigquery.bq_dynamic_copy_partitions_insert_overwrite_sql": {"name": "bq_dynamic_copy_partitions_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_dynamic_copy_partitions_insert_overwrite_sql", "macro_sql": "{% macro bq_dynamic_copy_partitions_insert_overwrite_sql(\n  tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions\n  ) %}\n  {# We run temp table creation in a separated script to move to partitions copy #}\n  {%- call statement('create_tmp_relation_for_copy', language='sql') -%}\n    {{ declare_dbt_max_partition(this, partition_by, sql, 'sql') +\n     bq_create_table_as(partition_by.time_ingestion_partitioning, True, tmp_relation, sql, 'sql')\n  }}\n  {%- endcall %}\n  {%- set partitions_sql -%}\n    select distinct {{ partition_by.render_wrapped() }}\n    from {{ tmp_relation }}\n  {%- endset -%}\n  {%- set partitions = run_query(partitions_sql).columns[0].values() -%}\n  {# We copy the partitions #}\n  {%- do bq_copy_partitions(tmp_relation, target_relation, partitions, partition_by) -%}\n  -- Clean up the temp table\n  drop table if exists {{ tmp_relation }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_bigquery.declare_dbt_max_partition", "macro.dbt_bigquery.bq_create_table_as", "macro.dbt.run_query", "macro.dbt_bigquery.bq_copy_partitions"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.296221, "supported_languages": null}, "macro.dbt_bigquery.bq_dynamic_insert_overwrite_sql": {"name": "bq_dynamic_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_dynamic_insert_overwrite_sql", "macro_sql": "{% macro bq_dynamic_insert_overwrite_sql(tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions) %}\n  {%- if copy_partitions is true %}\n     {{ bq_dynamic_copy_partitions_insert_overwrite_sql(tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions) }}\n  {% else -%}\n      {% set predicate -%}\n          {{ partition_by.render_wrapped(alias='DBT_INTERNAL_DEST') }} in unnest(dbt_partitions_for_replacement)\n      {%- endset %}\n\n      {%- set source_sql -%}\n      (\n        select\n        {% if partition_by.time_ingestion_partitioning -%}\n        _PARTITIONTIME,\n        {%- endif -%}\n        * from {{ tmp_relation }}\n      )\n      {%- endset -%}\n\n      -- generated script to merge partitions into {{ target_relation }}\n      declare dbt_partitions_for_replacement array<{{ partition_by.data_type_for_partition() }}>;\n\n      {# have we already created the temp table to check for schema changes? #}\n      {% if not tmp_relation_exists %}\n        {{ declare_dbt_max_partition(this, partition_by, sql) }}\n\n       -- 1. create a temp table with model data\n        {{ bq_create_table_as(partition_by.time_ingestion_partitioning, True, tmp_relation, sql, 'sql') }}\n      {% else %}\n        -- 1. temp table already exists, we used it to check for schema changes\n      {% endif %}\n\n      -- 2. define partitions to update\n      set (dbt_partitions_for_replacement) = (\n          select as struct\n              -- IGNORE NULLS: this needs to be aligned to _dbt_max_partition, which ignores null\n              array_agg(distinct {{ partition_by.render_wrapped() }} IGNORE NULLS)\n          from {{ tmp_relation }}\n      );\n\n      -- 3. run the merge statement\n      {{ get_insert_overwrite_merge_sql(target_relation, source_sql, dest_columns, [predicate]) }};\n\n      -- 4. clean up the temp table\n      drop table if exists {{ tmp_relation }}\n\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_dynamic_copy_partitions_insert_overwrite_sql", "macro.dbt_bigquery.declare_dbt_max_partition", "macro.dbt_bigquery.bq_create_table_as", "macro.dbt.get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.297427, "supported_languages": null}, "macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql": {"name": "wrap_with_time_ingestion_partitioning_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro_sql": "{% macro wrap_with_time_ingestion_partitioning_sql(partition_time_exp, sql, is_nested) %}\n\n  select {{ partition_time_exp['value'] }} as _partitiontime, * EXCEPT({{ partition_time_exp['field'] }}) from (\n    {{ sql }}\n  ){%- if not is_nested -%};{%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.29948, "supported_languages": null}, "macro.dbt_bigquery.create_ingestion_time_partitioned_table_as_sql": {"name": "create_ingestion_time_partitioned_table_as_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.create_ingestion_time_partitioned_table_as_sql", "macro_sql": "{% macro create_ingestion_time_partitioned_table_as_sql(temporary, relation, sql) -%}\n  {%- set raw_partition_by = config.get('partition_by', none) -%}\n  {%- set raw_cluster_by = config.get('cluster_by', none) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {%- set partition_config = adapter.parse_partition_by(raw_partition_by) -%}\n\n  {%- set columns = get_columns_with_types_in_query_sql(sql) -%}\n  {%- set table_dest_columns_csv = columns_without_partition_fields_csv(partition_config, columns) -%}\n\n  {{ sql_header if sql_header is not none }}\n\n  {% set ingestion_time_partition_config_raw = fromjson(tojson(raw_partition_by)) %}\n  {% do ingestion_time_partition_config_raw.update({'field':'_PARTITIONTIME'}) %}\n\n  {%- set ingestion_time_partition_config = adapter.parse_partition_by(ingestion_time_partition_config_raw) -%}\n\n  create or replace table {{ relation }} ({{table_dest_columns_csv}})\n  {{ partition_by(ingestion_time_partition_config) }}\n  {{ cluster_by(raw_cluster_by) }}\n  {{ bigquery_table_options(config, model, temporary) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.get_columns_with_types_in_query_sql", "macro.dbt_bigquery.columns_without_partition_fields_csv", "macro.dbt_bigquery.partition_by", "macro.dbt_bigquery.cluster_by", "macro.dbt_bigquery.bigquery_table_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3006349, "supported_languages": null}, "macro.dbt_bigquery.get_quoted_with_types_csv": {"name": "get_quoted_with_types_csv", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.get_quoted_with_types_csv", "macro_sql": "{% macro get_quoted_with_types_csv(columns) %}\n    {% set quoted = [] %}\n    {% for col in columns -%}\n        {%- do quoted.append(adapter.quote(col.name) ~ \" \" ~ col.data_type) -%}\n    {%- endfor %}\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.301087, "supported_languages": null}, "macro.dbt_bigquery.columns_without_partition_fields_csv": {"name": "columns_without_partition_fields_csv", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.columns_without_partition_fields_csv", "macro_sql": "{% macro columns_without_partition_fields_csv(partition_config, columns) -%}\n  {%- set columns_no_partition = partition_config.reject_partition_field_column(columns) -%}\n  {% set columns_names = get_quoted_with_types_csv(columns_no_partition) %}\n  {{ return(columns_names) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.get_quoted_with_types_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.301374, "supported_languages": null}, "macro.dbt_bigquery.bq_insert_into_ingestion_time_partitioned_table_sql": {"name": "bq_insert_into_ingestion_time_partitioned_table_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.bq_insert_into_ingestion_time_partitioned_table_sql", "macro_sql": "{% macro bq_insert_into_ingestion_time_partitioned_table_sql(target_relation, sql) -%}\n  {%- set partition_by = config.get('partition_by', none) -%}\n  {% set dest_columns = adapter.get_columns_in_relation(target_relation) %}\n  {%- set dest_columns_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n  insert into {{ target_relation }} (_partitiontime, {{ dest_columns_csv }})\n    {{ wrap_with_time_ingestion_partitioning_sql(build_partition_time_exp(partition_by), sql, False) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.get_quoted_csv", "macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro.dbt_bigquery.build_partition_time_exp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.301864, "supported_languages": null}, "macro.dbt_bigquery.get_columns_with_types_in_query_sql": {"name": "get_columns_with_types_in_query_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.get_columns_with_types_in_query_sql", "macro_sql": "{% macro get_columns_with_types_in_query_sql(select_sql) %}\n  {% set sql %}\n    select * from (\n      {{ select_sql }}\n    ) as __dbt_sbq\n    where false\n    limit 0\n  {% endset %}\n  {{ return(adapter.get_columns_in_select_sql(sql)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.302109, "supported_languages": null}, "macro.dbt_bigquery.bigquery__except": {"name": "bigquery__except", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt_bigquery.bigquery__except", "macro_sql": "{% macro bigquery__except() %}\n\n    except distinct\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3022342, "supported_languages": null}, "macro.dbt_bigquery.bigquery__dateadd": {"name": "bigquery__dateadd", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt_bigquery.bigquery__dateadd", "macro_sql": "{% macro bigquery__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n        datetime_add(\n            cast( {{ from_date_or_timestamp }} as datetime),\n        interval {{ interval }} {{ datepart }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.302478, "supported_languages": null}, "macro.dbt_bigquery.bigquery__current_timestamp": {"name": "bigquery__current_timestamp", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/timestamps.sql", "original_file_path": "macros/utils/timestamps.sql", "unique_id": "macro.dbt_bigquery.bigquery__current_timestamp", "macro_sql": "{% macro bigquery__current_timestamp() -%}\n  current_timestamp()\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.302652, "supported_languages": null}, "macro.dbt_bigquery.bigquery__snapshot_string_as_time": {"name": "bigquery__snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/timestamps.sql", "original_file_path": "macros/utils/timestamps.sql", "unique_id": "macro.dbt_bigquery.bigquery__snapshot_string_as_time", "macro_sql": "{% macro bigquery__snapshot_string_as_time(timestamp) -%}\n    {%- set result = 'TIMESTAMP(\"' ~ timestamp ~ '\")' -%}\n    {{ return(result) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.302847, "supported_languages": null}, "macro.dbt_bigquery.bigquery__current_timestamp_backcompat": {"name": "bigquery__current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/timestamps.sql", "original_file_path": "macros/utils/timestamps.sql", "unique_id": "macro.dbt_bigquery.bigquery__current_timestamp_backcompat", "macro_sql": "{% macro bigquery__current_timestamp_backcompat() -%}\n  current_timestamp\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.302929, "supported_languages": null}, "macro.dbt_bigquery.bigquery__intersect": {"name": "bigquery__intersect", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt_bigquery.bigquery__intersect", "macro_sql": "{% macro bigquery__intersect() %}\n\n    intersect distinct\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.303042, "supported_languages": null}, "macro.dbt_bigquery.bigquery__escape_single_quotes": {"name": "bigquery__escape_single_quotes", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt_bigquery.bigquery__escape_single_quotes", "macro_sql": "{% macro bigquery__escape_single_quotes(expression) -%}\n{{ expression | replace(\"'\", \"\\\\'\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.303244, "supported_languages": null}, "macro.dbt_bigquery.bigquery__format_column": {"name": "bigquery__format_column", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__format_column", "macro_sql": "{% macro bigquery__format_column(column) -%}\n  {% set data_type = column.data_type %}\n  {% set formatted = column.column.lower() ~ \" \" ~ data_type %}\n  {{ return({'name': column.name, 'data_type': data_type, 'formatted': formatted}) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.303925, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_empty_schema_sql": {"name": "bigquery__get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_empty_schema_sql", "macro_sql": "{% macro bigquery__get_empty_schema_sql(columns) %}\n    {%- set columns = adapter.nest_column_data_types(columns) -%}\n    {{ return(dbt.default__get_empty_schema_sql(columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_empty_schema_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.304159, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_select_subquery": {"name": "bigquery__get_select_subquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_select_subquery", "macro_sql": "{% macro bigquery__get_select_subquery(sql) %}\n    select {{ adapter.dispatch('get_column_names')() }}\n    from (\n        {{ sql }}\n    ) as model_subq\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_column_names"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3043358, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_column_names": {"name": "bigquery__get_column_names", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_column_names", "macro_sql": "{% macro bigquery__get_column_names() %}\n  {#- loop through nested user_provided_columns to get column names -#}\n    {%- set user_provided_columns = adapter.nest_column_data_types(model['columns']) -%}\n    {%- for i in user_provided_columns %}\n      {%- set col = user_provided_columns[i] -%}\n      {%- set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] -%}\n      {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.304852, "supported_languages": null}, "macro.dbt_bigquery.bigquery__right": {"name": "bigquery__right", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt_bigquery.bigquery__right", "macro_sql": "{% macro bigquery__right(string_text, length_expression) %}\n\n    case when {{ length_expression }} = 0\n        then ''\n    else\n        substr(\n            {{ string_text }},\n            -1 * ({{ length_expression }})\n        )\n    end\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.305103, "supported_languages": null}, "macro.dbt_bigquery.bigquery__listagg": {"name": "bigquery__listagg", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt_bigquery.bigquery__listagg", "macro_sql": "{% macro bigquery__listagg(measure, delimiter_text, order_by_clause, limit_num) -%}\n\n    string_agg(\n        {{ measure }},\n        {{ delimiter_text }}\n        {% if order_by_clause -%}\n        {{ order_by_clause }}\n        {%- endif %}\n        {% if limit_num -%}\n        limit {{ limit_num }}\n        {%- endif %}\n        )\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.30552, "supported_languages": null}, "macro.dbt_bigquery.bigquery__datediff": {"name": "bigquery__datediff", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt_bigquery.bigquery__datediff", "macro_sql": "{% macro bigquery__datediff(first_date, second_date, datepart) -%}\n\n  {% if dbt_version[0] == 1 and dbt_version[2] >= 2 %}\n    {{ return(dbt.datediff(first_date, second_date, datepart)) }}\n  {% else %}\n\n    datetime_diff(\n        cast({{second_date}} as datetime),\n        cast({{first_date}} as datetime),\n        {{datepart}}\n    )\n\n  {% endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.306117, "supported_languages": null}, "macro.dbt_bigquery.bigquery__safe_cast": {"name": "bigquery__safe_cast", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt_bigquery.bigquery__safe_cast", "macro_sql": "{% macro bigquery__safe_cast(field, type) %}\n    safe_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.306292, "supported_languages": null}, "macro.dbt_bigquery.bigquery__hash": {"name": "bigquery__hash", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt_bigquery.bigquery__hash", "macro_sql": "{% macro bigquery__hash(field) -%}\n    to_hex({{dbt.default__hash(field)}})\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__hash"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.30646, "supported_languages": null}, "macro.dbt_bigquery.bigquery__position": {"name": "bigquery__position", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt_bigquery.bigquery__position", "macro_sql": "{% macro bigquery__position(substring_text, string_text) %}\n\n    strpos(\n        {{ string_text }},\n        {{ substring_text }}\n\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.306643, "supported_languages": null}, "macro.dbt_bigquery.bigquery__array_concat": {"name": "bigquery__array_concat", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt_bigquery.bigquery__array_concat", "macro_sql": "{% macro bigquery__array_concat(array_1, array_2) -%}\n    array_concat({{ array_1 }}, {{ array_2 }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.306817, "supported_languages": null}, "macro.dbt_bigquery.bigquery__bool_or": {"name": "bigquery__bool_or", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt_bigquery.bigquery__bool_or", "macro_sql": "{% macro bigquery__bool_or(expression) -%}\n\n    logical_or({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.306952, "supported_languages": null}, "macro.dbt_bigquery.bigquery__split_part": {"name": "bigquery__split_part", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt_bigquery.bigquery__split_part", "macro_sql": "{% macro bigquery__split_part(string_text, delimiter_text, part_number) %}\n\n  {% if part_number >= 0 %}\n    split(\n        {{ string_text }},\n        {{ delimiter_text }}\n        )[safe_offset({{ part_number - 1 }})]\n  {% else %}\n    split(\n        {{ string_text }},\n        {{ delimiter_text }}\n        )[safe_offset(\n          length({{ string_text }})\n          - length(\n              replace({{ string_text }},  {{ delimiter_text }}, '')\n          ) + 1\n        )]\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.307559, "supported_languages": null}, "macro.dbt_bigquery.bigquery__date_trunc": {"name": "bigquery__date_trunc", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt_bigquery.bigquery__date_trunc", "macro_sql": "{% macro bigquery__date_trunc(datepart, date) -%}\n    timestamp_trunc(\n        cast({{date}} as timestamp),\n        {{datepart}}\n    )\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.307745, "supported_languages": null}, "macro.dbt_bigquery.bigquery__array_construct": {"name": "bigquery__array_construct", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt_bigquery.bigquery__array_construct", "macro_sql": "{% macro bigquery__array_construct(inputs, data_type) -%}\n    {% if inputs|length > 0 %}\n    [ {{ inputs|join(' , ') }} ]\n    {% else %}\n    ARRAY<{{data_type}}>[]\n    {% endif %}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3080618, "supported_languages": null}, "macro.dbt_bigquery.bigquery__array_append": {"name": "bigquery__array_append", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt_bigquery.bigquery__array_append", "macro_sql": "{% macro bigquery__array_append(array, new_element) -%}\n    {{ array_concat(array, array_construct([new_element])) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.array_concat", "macro.dbt.array_construct"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.308277, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_show_grant_sql": {"name": "bigquery__get_show_grant_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_show_grant_sql", "macro_sql": "{% macro bigquery__get_show_grant_sql(relation) %}\n    {% set location = adapter.get_dataset_location(relation) %}\n    {% set relation = relation.incorporate(location=location) %}\n\n    select privilege_type, grantee\n    from {{ relation.information_schema(\"OBJECT_PRIVILEGES\") }}\n    where object_schema = \"{{ relation.dataset }}\"\n      and object_name = \"{{ relation.identifier }}\"\n      -- filter out current user\n      and split(grantee, ':')[offset(1)] != session_user()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.308944, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_grant_sql": {"name": "bigquery__get_grant_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_grant_sql", "macro_sql": "\n\n\n{%- macro bigquery__get_grant_sql(relation, privilege, grantee) -%}\n    grant `{{ privilege }}` on {{ relation.type }} {{ relation }} to {{ '\\\"' + grantee|join('\\\", \\\"') + '\\\"' }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.309202, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_revoke_sql": {"name": "bigquery__get_revoke_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_revoke_sql", "macro_sql": "{%- macro bigquery__get_revoke_sql(relation, privilege, grantee) -%}\n    revoke `{{ privilege }}` on {{ relation.type }} {{ relation }} from {{ '\\\"' + grantee|join('\\\", \\\"') + '\\\"' }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.309458, "supported_languages": null}, "macro.dbt_bigquery.bigquery__resolve_model_name": {"name": "bigquery__resolve_model_name", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt_bigquery.bigquery__resolve_model_name", "macro_sql": "{% macro bigquery__resolve_model_name(input_model_name) -%}\n    {{ input_model_name | string | replace('`', '') | replace('\"', '\\\"') }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.309706, "supported_languages": null}, "macro.dbt.run_hooks": {"name": "run_hooks", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.run_hooks", "macro_sql": "{% macro run_hooks(hooks, inside_transaction=True) %}\n  {% for hook in hooks | selectattr('transaction', 'equalto', inside_transaction)  %}\n    {% if not inside_transaction and loop.first %}\n      {% call statement(auto_begin=inside_transaction) %}\n        commit;\n      {% endcall %}\n    {% endif %}\n    {% set rendered = render(hook.get('sql')) | trim %}\n    {% if (rendered | length) > 0 %}\n      {% call statement(auto_begin=inside_transaction) %}\n        {{ rendered }}\n      {% endcall %}\n    {% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.310847, "supported_languages": null}, "macro.dbt.make_hook_config": {"name": "make_hook_config", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.make_hook_config", "macro_sql": "{% macro make_hook_config(sql, inside_transaction) %}\n    {{ tojson({\"sql\": sql, \"transaction\": inside_transaction}) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.311062, "supported_languages": null}, "macro.dbt.before_begin": {"name": "before_begin", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.before_begin", "macro_sql": "{% macro before_begin(sql) %}\n    {{ make_hook_config(sql, inside_transaction=False) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.311216, "supported_languages": null}, "macro.dbt.in_transaction": {"name": "in_transaction", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.in_transaction", "macro_sql": "{% macro in_transaction(sql) %}\n    {{ make_hook_config(sql, inside_transaction=True) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3113668, "supported_languages": null}, "macro.dbt.after_commit": {"name": "after_commit", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.after_commit", "macro_sql": "{% macro after_commit(sql) %}\n    {{ make_hook_config(sql, inside_transaction=False) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.311517, "supported_languages": null}, "macro.dbt.set_sql_header": {"name": "set_sql_header", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.set_sql_header", "macro_sql": "{% macro set_sql_header(config) -%}\n  {{ config.set('sql_header', caller()) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.311913, "supported_languages": null}, "macro.dbt.should_full_refresh": {"name": "should_full_refresh", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.should_full_refresh", "macro_sql": "{% macro should_full_refresh() %}\n  {% set config_full_refresh = config.get('full_refresh') %}\n  {% if config_full_refresh is none %}\n    {% set config_full_refresh = flags.FULL_REFRESH %}\n  {% endif %}\n  {% do return(config_full_refresh) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.312308, "supported_languages": null}, "macro.dbt.should_store_failures": {"name": "should_store_failures", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.should_store_failures", "macro_sql": "{% macro should_store_failures() %}\n  {% set config_store_failures = config.get('store_failures') %}\n  {% if config_store_failures is none %}\n    {% set config_store_failures = flags.STORE_FAILURES %}\n  {% endif %}\n  {% do return(config_store_failures) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3126342, "supported_languages": null}, "macro.dbt.snapshot_merge_sql": {"name": "snapshot_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshots/snapshot_merge.sql", "unique_id": "macro.dbt.snapshot_merge_sql", "macro_sql": "{% macro snapshot_merge_sql(target, source, insert_cols) -%}\n  {{ adapter.dispatch('snapshot_merge_sql', 'dbt')(target, source, insert_cols) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__snapshot_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.313077, "supported_languages": null}, "macro.dbt.default__snapshot_merge_sql": {"name": "default__snapshot_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshots/snapshot_merge.sql", "unique_id": "macro.dbt.default__snapshot_merge_sql", "macro_sql": "{% macro default__snapshot_merge_sql(target, source, insert_cols) -%}\n    {%- set insert_cols_csv = insert_cols | join(', ') -%}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n    using {{ source }} as DBT_INTERNAL_SOURCE\n    on DBT_INTERNAL_SOURCE.dbt_scd_id = DBT_INTERNAL_DEST.dbt_scd_id\n\n    when matched\n     and DBT_INTERNAL_DEST.dbt_valid_to is null\n     and DBT_INTERNAL_SOURCE.dbt_change_type in ('update', 'delete')\n        then update\n        set dbt_valid_to = DBT_INTERNAL_SOURCE.dbt_valid_to\n\n    when not matched\n     and DBT_INTERNAL_SOURCE.dbt_change_type = 'insert'\n        then insert ({{ insert_cols_csv }})\n        values ({{ insert_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3133628, "supported_languages": null}, "macro.dbt.strategy_dispatch": {"name": "strategy_dispatch", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.strategy_dispatch", "macro_sql": "{% macro strategy_dispatch(name) -%}\n{% set original_name = name %}\n  {% if '.' in name %}\n    {% set package_name, name = name.split(\".\", 1) %}\n  {% else %}\n    {% set package_name = none %}\n  {% endif %}\n\n  {% if package_name is none %}\n    {% set package_context = context %}\n  {% elif package_name in context %}\n    {% set package_context = context[package_name] %}\n  {% else %}\n    {% set error_msg %}\n        Could not find package '{{package_name}}', called with '{{original_name}}'\n    {% endset %}\n    {{ exceptions.raise_compiler_error(error_msg | trim) }}\n  {% endif %}\n\n  {%- set search_name = 'snapshot_' ~ name ~ '_strategy' -%}\n\n  {% if search_name not in package_context %}\n    {% set error_msg %}\n        The specified strategy macro '{{name}}' was not found in package '{{ package_name }}'\n    {% endset %}\n    {{ exceptions.raise_compiler_error(error_msg | trim) }}\n  {% endif %}\n  {{ return(package_context[search_name]) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3170009, "supported_languages": null}, "macro.dbt.snapshot_hash_arguments": {"name": "snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_hash_arguments", "macro_sql": "{% macro snapshot_hash_arguments(args) -%}\n  {{ adapter.dispatch('snapshot_hash_arguments', 'dbt')(args) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.317182, "supported_languages": null}, "macro.dbt.default__snapshot_hash_arguments": {"name": "default__snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.default__snapshot_hash_arguments", "macro_sql": "{% macro default__snapshot_hash_arguments(args) -%}\n    md5({%- for arg in args -%}\n        coalesce(cast({{ arg }} as varchar ), '')\n        {% if not loop.last %} || '|' || {% endif %}\n    {%- endfor -%})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3174222, "supported_languages": null}, "macro.dbt.snapshot_timestamp_strategy": {"name": "snapshot_timestamp_strategy", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_timestamp_strategy", "macro_sql": "{% macro snapshot_timestamp_strategy(node, snapshotted_rel, current_rel, config, target_exists) %}\n    {% set primary_key = config['unique_key'] %}\n    {% set updated_at = config['updated_at'] %}\n    {% set invalidate_hard_deletes = config.get('invalidate_hard_deletes', false) %}\n\n    {#/*\n        The snapshot relation might not have an {{ updated_at }} value if the\n        snapshot strategy is changed from `check` to `timestamp`. We\n        should use a dbt-created column for the comparison in the snapshot\n        table instead of assuming that the user-supplied {{ updated_at }}\n        will be present in the historical data.\n\n        See https://github.com/dbt-labs/dbt-core/issues/2350\n    */ #}\n    {% set row_changed_expr -%}\n        ({{ snapshotted_rel }}.dbt_valid_from < {{ current_rel }}.{{ updated_at }})\n    {%- endset %}\n\n    {% set scd_id_expr = snapshot_hash_arguments([primary_key, updated_at]) %}\n\n    {% do return({\n        \"unique_key\": primary_key,\n        \"updated_at\": updated_at,\n        \"row_changed\": row_changed_expr,\n        \"scd_id\": scd_id_expr,\n        \"invalidate_hard_deletes\": invalidate_hard_deletes\n    }) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.318183, "supported_languages": null}, "macro.dbt.snapshot_string_as_time": {"name": "snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_string_as_time", "macro_sql": "{% macro snapshot_string_as_time(timestamp) -%}\n    {{ adapter.dispatch('snapshot_string_as_time', 'dbt')(timestamp) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__snapshot_string_as_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.31836, "supported_languages": null}, "macro.dbt.default__snapshot_string_as_time": {"name": "default__snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.default__snapshot_string_as_time", "macro_sql": "{% macro default__snapshot_string_as_time(timestamp) %}\n    {% do exceptions.raise_not_implemented(\n        'snapshot_string_as_time macro not implemented for adapter '+adapter.type()\n    ) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3185449, "supported_languages": null}, "macro.dbt.snapshot_check_all_get_existing_columns": {"name": "snapshot_check_all_get_existing_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_check_all_get_existing_columns", "macro_sql": "{% macro snapshot_check_all_get_existing_columns(node, target_exists, check_cols_config) -%}\n    {%- if not target_exists -%}\n        {#-- no table yet -> return whatever the query does --#}\n        {{ return((false, query_columns)) }}\n    {%- endif -%}\n\n    {#-- handle any schema changes --#}\n    {%- set target_relation = adapter.get_relation(database=node.database, schema=node.schema, identifier=node.alias) -%}\n\n    {% if check_cols_config == 'all' %}\n        {%- set query_columns = get_columns_in_query(node['compiled_code']) -%}\n\n    {% elif check_cols_config is iterable and (check_cols_config | length) > 0 %}\n        {#-- query for proper casing/quoting, to support comparison below --#}\n        {%- set select_check_cols_from_target -%}\n            {#-- N.B. The whitespace below is necessary to avoid edge case issue with comments --#}\n            {#-- See: https://github.com/dbt-labs/dbt-core/issues/6781 --#}\n            select {{ check_cols_config | join(', ') }} from (\n                {{ node['compiled_code'] }}\n            ) subq\n        {%- endset -%}\n        {% set query_columns = get_columns_in_query(select_check_cols_from_target) %}\n\n    {% else %}\n        {% do exceptions.raise_compiler_error(\"Invalid value for 'check_cols': \" ~ check_cols_config) %}\n    {% endif %}\n\n    {%- set existing_cols = adapter.get_columns_in_relation(target_relation) | map(attribute = 'name') | list -%}\n    {%- set ns = namespace() -%} {#-- handle for-loop scoping with a namespace --#}\n    {%- set ns.column_added = false -%}\n\n    {%- set intersection = [] -%}\n    {%- for col in query_columns -%}\n        {%- if col in existing_cols -%}\n            {%- do intersection.append(adapter.quote(col)) -%}\n        {%- else -%}\n            {% set ns.column_added = true %}\n        {%- endif -%}\n    {%- endfor -%}\n    {{ return((ns.column_added, intersection)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_columns_in_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.32006, "supported_languages": null}, "macro.dbt.snapshot_check_strategy": {"name": "snapshot_check_strategy", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_check_strategy", "macro_sql": "{% macro snapshot_check_strategy(node, snapshotted_rel, current_rel, config, target_exists) %}\n    {% set check_cols_config = config['check_cols'] %}\n    {% set primary_key = config['unique_key'] %}\n    {% set invalidate_hard_deletes = config.get('invalidate_hard_deletes', false) %}\n    {% set updated_at = config.get('updated_at', snapshot_get_time()) %}\n\n    {% set column_added = false %}\n\n    {% set column_added, check_cols = snapshot_check_all_get_existing_columns(node, target_exists, check_cols_config) %}\n\n    {%- set row_changed_expr -%}\n    (\n    {%- if column_added -%}\n        {{ get_true_sql() }}\n    {%- else -%}\n    {%- for col in check_cols -%}\n        {{ snapshotted_rel }}.{{ col }} != {{ current_rel }}.{{ col }}\n        or\n        (\n            (({{ snapshotted_rel }}.{{ col }} is null) and not ({{ current_rel }}.{{ col }} is null))\n            or\n            ((not {{ snapshotted_rel }}.{{ col }} is null) and ({{ current_rel }}.{{ col }} is null))\n        )\n        {%- if not loop.last %} or {% endif -%}\n    {%- endfor -%}\n    {%- endif -%}\n    )\n    {%- endset %}\n\n    {% set scd_id_expr = snapshot_hash_arguments([primary_key, updated_at]) %}\n\n    {% do return({\n        \"unique_key\": primary_key,\n        \"updated_at\": updated_at,\n        \"row_changed\": row_changed_expr,\n        \"scd_id\": scd_id_expr,\n        \"invalidate_hard_deletes\": invalidate_hard_deletes\n    }) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_get_time", "macro.dbt.snapshot_check_all_get_existing_columns", "macro.dbt.get_true_sql", "macro.dbt.snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.321505, "supported_languages": null}, "macro.dbt.create_columns": {"name": "create_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.create_columns", "macro_sql": "{% macro create_columns(relation, columns) %}\n  {{ adapter.dispatch('create_columns', 'dbt')(relation, columns) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.325611, "supported_languages": null}, "macro.dbt.default__create_columns": {"name": "default__create_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__create_columns", "macro_sql": "{% macro default__create_columns(relation, columns) %}\n  {% for column in columns %}\n    {% call statement() %}\n      alter table {{ relation }} add column \"{{ column.name }}\" {{ column.data_type }};\n    {% endcall %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.325917, "supported_languages": null}, "macro.dbt.post_snapshot": {"name": "post_snapshot", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.post_snapshot", "macro_sql": "{% macro post_snapshot(staging_relation) %}\n  {{ adapter.dispatch('post_snapshot', 'dbt')(staging_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__post_snapshot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3260942, "supported_languages": null}, "macro.dbt.default__post_snapshot": {"name": "default__post_snapshot", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__post_snapshot", "macro_sql": "{% macro default__post_snapshot(staging_relation) %}\n    {# no-op #}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.32619, "supported_languages": null}, "macro.dbt.get_true_sql": {"name": "get_true_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.get_true_sql", "macro_sql": "{% macro get_true_sql() %}\n  {{ adapter.dispatch('get_true_sql', 'dbt')() }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_true_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.326349, "supported_languages": null}, "macro.dbt.default__get_true_sql": {"name": "default__get_true_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__get_true_sql", "macro_sql": "{% macro default__get_true_sql() %}\n    {{ return('TRUE') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.326472, "supported_languages": null}, "macro.dbt.snapshot_staging_table": {"name": "snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.snapshot_staging_table", "macro_sql": "{% macro snapshot_staging_table(strategy, source_sql, target_relation) -%}\n  {{ adapter.dispatch('snapshot_staging_table', 'dbt')(strategy, source_sql, target_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__snapshot_staging_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.326688, "supported_languages": null}, "macro.dbt.default__snapshot_staging_table": {"name": "default__snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__snapshot_staging_table", "macro_sql": "{% macro default__snapshot_staging_table(strategy, source_sql, target_relation) -%}\n\n    with snapshot_query as (\n\n        {{ source_sql }}\n\n    ),\n\n    snapshotted_data as (\n\n        select *,\n            {{ strategy.unique_key }} as dbt_unique_key\n\n        from {{ target_relation }}\n        where dbt_valid_to is null\n\n    ),\n\n    insertions_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key,\n            {{ strategy.updated_at }} as dbt_updated_at,\n            {{ strategy.updated_at }} as dbt_valid_from,\n            nullif({{ strategy.updated_at }}, {{ strategy.updated_at }}) as dbt_valid_to,\n            {{ strategy.scd_id }} as dbt_scd_id\n\n        from snapshot_query\n    ),\n\n    updates_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key,\n            {{ strategy.updated_at }} as dbt_updated_at,\n            {{ strategy.updated_at }} as dbt_valid_from,\n            {{ strategy.updated_at }} as dbt_valid_to\n\n        from snapshot_query\n    ),\n\n    {%- if strategy.invalidate_hard_deletes %}\n\n    deletes_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key\n        from snapshot_query\n    ),\n    {% endif %}\n\n    insertions as (\n\n        select\n            'insert' as dbt_change_type,\n            source_data.*\n\n        from insertions_source_data as source_data\n        left outer join snapshotted_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where snapshotted_data.dbt_unique_key is null\n           or (\n                snapshotted_data.dbt_unique_key is not null\n            and (\n                {{ strategy.row_changed }}\n            )\n        )\n\n    ),\n\n    updates as (\n\n        select\n            'update' as dbt_change_type,\n            source_data.*,\n            snapshotted_data.dbt_scd_id\n\n        from updates_source_data as source_data\n        join snapshotted_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where (\n            {{ strategy.row_changed }}\n        )\n    )\n\n    {%- if strategy.invalidate_hard_deletes -%}\n    ,\n\n    deletes as (\n\n        select\n            'delete' as dbt_change_type,\n            source_data.*,\n            {{ snapshot_get_time() }} as dbt_valid_from,\n            {{ snapshot_get_time() }} as dbt_updated_at,\n            {{ snapshot_get_time() }} as dbt_valid_to,\n            snapshotted_data.dbt_scd_id\n\n        from snapshotted_data\n        left join deletes_source_data as source_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where source_data.dbt_unique_key is null\n    )\n    {%- endif %}\n\n    select * from insertions\n    union all\n    select * from updates\n    {%- if strategy.invalidate_hard_deletes %}\n    union all\n    select * from deletes\n    {%- endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_get_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.32762, "supported_languages": null}, "macro.dbt.build_snapshot_table": {"name": "build_snapshot_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.build_snapshot_table", "macro_sql": "{% macro build_snapshot_table(strategy, sql) -%}\n  {{ adapter.dispatch('build_snapshot_table', 'dbt')(strategy, sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__build_snapshot_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.327838, "supported_languages": null}, "macro.dbt.default__build_snapshot_table": {"name": "default__build_snapshot_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__build_snapshot_table", "macro_sql": "{% macro default__build_snapshot_table(strategy, sql) %}\n\n    select *,\n        {{ strategy.scd_id }} as dbt_scd_id,\n        {{ strategy.updated_at }} as dbt_updated_at,\n        {{ strategy.updated_at }} as dbt_valid_from,\n        nullif({{ strategy.updated_at }}, {{ strategy.updated_at }}) as dbt_valid_to\n    from (\n        {{ sql }}\n    ) sbq\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3281028, "supported_languages": null}, "macro.dbt.build_snapshot_staging_table": {"name": "build_snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.build_snapshot_staging_table", "macro_sql": "{% macro build_snapshot_staging_table(strategy, sql, target_relation) %}\n    {% set temp_relation = make_temp_relation(target_relation) %}\n\n    {% set select = snapshot_staging_table(strategy, sql, target_relation) %}\n\n    {% call statement('build_snapshot_staging_relation') %}\n        {{ create_table_as(True, temp_relation, select) }}\n    {% endcall %}\n\n    {% do return(temp_relation) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_temp_relation", "macro.dbt.snapshot_staging_table", "macro.dbt.statement", "macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.32856, "supported_languages": null}, "macro.dbt.materialization_snapshot_default": {"name": "materialization_snapshot_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot.sql", "original_file_path": "macros/materializations/snapshots/snapshot.sql", "unique_id": "macro.dbt.materialization_snapshot_default", "macro_sql": "{% materialization snapshot, default %}\n  {%- set config = model['config'] -%}\n\n  {%- set target_table = model.get('alias', model.get('name')) -%}\n\n  {%- set strategy_name = config.get('strategy') -%}\n  {%- set unique_key = config.get('unique_key') %}\n  -- grab current tables grants config for comparision later on\n  {%- set grant_config = config.get('grants') -%}\n\n  {% set target_relation_exists, target_relation = get_or_create_relation(\n          database=model.database,\n          schema=model.schema,\n          identifier=target_table,\n          type='table') -%}\n\n  {%- if not target_relation.is_table -%}\n    {% do exceptions.relation_wrong_type(target_relation, 'table') %}\n  {%- endif -%}\n\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  {% set strategy_macro = strategy_dispatch(strategy_name) %}\n  {% set strategy = strategy_macro(model, \"snapshotted_data\", \"source_data\", config, target_relation_exists) %}\n\n  {% if not target_relation_exists %}\n\n      {% set build_sql = build_snapshot_table(strategy, model['compiled_code']) %}\n      {% set final_sql = create_table_as(False, target_relation, build_sql) %}\n\n  {% else %}\n\n      {{ adapter.valid_snapshot_target(target_relation) }}\n\n      {% set staging_table = build_snapshot_staging_table(strategy, sql, target_relation) %}\n\n      -- this may no-op if the database does not require column expansion\n      {% do adapter.expand_target_column_types(from_relation=staging_table,\n                                               to_relation=target_relation) %}\n\n      {% set missing_columns = adapter.get_missing_columns(staging_table, target_relation)\n                                   | rejectattr('name', 'equalto', 'dbt_change_type')\n                                   | rejectattr('name', 'equalto', 'DBT_CHANGE_TYPE')\n                                   | rejectattr('name', 'equalto', 'dbt_unique_key')\n                                   | rejectattr('name', 'equalto', 'DBT_UNIQUE_KEY')\n                                   | list %}\n\n      {% do create_columns(target_relation, missing_columns) %}\n\n      {% set source_columns = adapter.get_columns_in_relation(staging_table)\n                                   | rejectattr('name', 'equalto', 'dbt_change_type')\n                                   | rejectattr('name', 'equalto', 'DBT_CHANGE_TYPE')\n                                   | rejectattr('name', 'equalto', 'dbt_unique_key')\n                                   | rejectattr('name', 'equalto', 'DBT_UNIQUE_KEY')\n                                   | list %}\n\n      {% set quoted_source_columns = [] %}\n      {% for column in source_columns %}\n        {% do quoted_source_columns.append(adapter.quote(column.name)) %}\n      {% endfor %}\n\n      {% set final_sql = snapshot_merge_sql(\n            target = target_relation,\n            source = staging_table,\n            insert_cols = quoted_source_columns\n         )\n      %}\n\n  {% endif %}\n\n  {% call statement('main') %}\n      {{ final_sql }}\n  {% endcall %}\n\n  {% set should_revoke = should_revoke(target_relation_exists, full_refresh_mode=False) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if not target_relation_exists %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {{ adapter.commit() }}\n\n  {% if staging_table is defined %}\n      {% do post_snapshot(staging_table) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.get_or_create_relation", "macro.dbt.run_hooks", "macro.dbt.strategy_dispatch", "macro.dbt.build_snapshot_table", "macro.dbt.create_table_as", "macro.dbt.build_snapshot_staging_table", "macro.dbt.create_columns", "macro.dbt.snapshot_merge_sql", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes", "macro.dbt.post_snapshot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.335123, "supported_languages": ["sql"]}, "macro.dbt.materialization_test_default": {"name": "materialization_test_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/test.sql", "original_file_path": "macros/materializations/tests/test.sql", "unique_id": "macro.dbt.materialization_test_default", "macro_sql": "{%- materialization test, default -%}\n\n  {% set relations = [] %}\n\n  {% if should_store_failures() %}\n\n    {% set identifier = model['alias'] %}\n    {% set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) %}\n    {% set target_relation = api.Relation.create(\n        identifier=identifier, schema=schema, database=database, type='table') -%} %}\n\n    {% if old_relation %}\n        {% do adapter.drop_relation(old_relation) %}\n    {% endif %}\n\n    {% call statement(auto_begin=True) %}\n        {{ create_table_as(False, target_relation, sql) }}\n    {% endcall %}\n\n    {% do relations.append(target_relation) %}\n\n    {% set main_sql %}\n        select *\n        from {{ target_relation }}\n    {% endset %}\n\n    {{ adapter.commit() }}\n\n  {% else %}\n\n      {% set main_sql = sql %}\n\n  {% endif %}\n\n  {% set limit = config.get('limit') %}\n  {% set fail_calc = config.get('fail_calc') %}\n  {% set warn_if = config.get('warn_if') %}\n  {% set error_if = config.get('error_if') %}\n\n  {% call statement('main', fetch_result=True) -%}\n\n    {{ get_test_sql(main_sql, fail_calc, warn_if, error_if, limit)}}\n\n  {%- endcall %}\n\n  {{ return({'relations': relations}) }}\n\n{%- endmaterialization -%}", "depends_on": {"macros": ["macro.dbt.should_store_failures", "macro.dbt.statement", "macro.dbt.create_table_as", "macro.dbt.get_test_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.337335, "supported_languages": ["sql"]}, "macro.dbt.get_test_sql": {"name": "get_test_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/helpers.sql", "original_file_path": "macros/materializations/tests/helpers.sql", "unique_id": "macro.dbt.get_test_sql", "macro_sql": "{% macro get_test_sql(main_sql, fail_calc, warn_if, error_if, limit) -%}\n  {{ adapter.dispatch('get_test_sql', 'dbt')(main_sql, fail_calc, warn_if, error_if, limit) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_test_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.337812, "supported_languages": null}, "macro.dbt.default__get_test_sql": {"name": "default__get_test_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/helpers.sql", "original_file_path": "macros/materializations/tests/helpers.sql", "unique_id": "macro.dbt.default__get_test_sql", "macro_sql": "{% macro default__get_test_sql(main_sql, fail_calc, warn_if, error_if, limit) -%}\n    select\n      {{ fail_calc }} as failures,\n      {{ fail_calc }} {{ warn_if }} as should_warn,\n      {{ fail_calc }} {{ error_if }} as should_error\n    from (\n      {{ main_sql }}\n      {{ \"limit \" ~ limit if limit != none }}\n    ) dbt_internal_test\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.338152, "supported_languages": null}, "macro.dbt.get_where_subquery": {"name": "get_where_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/where_subquery.sql", "original_file_path": "macros/materializations/tests/where_subquery.sql", "unique_id": "macro.dbt.get_where_subquery", "macro_sql": "{% macro get_where_subquery(relation) -%}\n    {% do return(adapter.dispatch('get_where_subquery', 'dbt')(relation)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_where_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.338549, "supported_languages": null}, "macro.dbt.default__get_where_subquery": {"name": "default__get_where_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/where_subquery.sql", "original_file_path": "macros/materializations/tests/where_subquery.sql", "unique_id": "macro.dbt.default__get_where_subquery", "macro_sql": "{% macro default__get_where_subquery(relation) -%}\n    {% set where = config.get('where', '') %}\n    {% if where %}\n        {%- set filtered -%}\n            (select * from {{ relation }} where {{ where }}) dbt_subquery\n        {%- endset -%}\n        {% do return(filtered) %}\n    {%- else -%}\n        {% do return(relation) %}\n    {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.338947, "supported_languages": null}, "macro.dbt.get_quoted_csv": {"name": "get_quoted_csv", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.get_quoted_csv", "macro_sql": "{% macro get_quoted_csv(column_names) %}\n\n    {% set quoted = [] %}\n    {% for col in column_names -%}\n        {%- do quoted.append(adapter.quote(col)) -%}\n    {%- endfor %}\n\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3406, "supported_languages": null}, "macro.dbt.diff_columns": {"name": "diff_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.diff_columns", "macro_sql": "{% macro diff_columns(source_columns, target_columns) %}\n\n  {% set result = [] %}\n  {% set source_names = source_columns | map(attribute = 'column') | list %}\n  {% set target_names = target_columns | map(attribute = 'column') | list %}\n\n   {# --check whether the name attribute exists in the target - this does not perform a data type check #}\n   {% for sc in source_columns %}\n     {% if sc.name not in target_names %}\n        {{ result.append(sc) }}\n     {% endif %}\n   {% endfor %}\n\n  {{ return(result) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.341184, "supported_languages": null}, "macro.dbt.diff_column_data_types": {"name": "diff_column_data_types", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.diff_column_data_types", "macro_sql": "{% macro diff_column_data_types(source_columns, target_columns) %}\n\n  {% set result = [] %}\n  {% for sc in source_columns %}\n    {% set tc = target_columns | selectattr(\"name\", \"equalto\", sc.name) | list | first %}\n    {% if tc %}\n      {% if sc.data_type != tc.data_type and not sc.can_expand_to(other_column=tc) %}\n        {{ result.append( { 'column_name': tc.name, 'new_type': sc.data_type } ) }}\n      {% endif %}\n    {% endif %}\n  {% endfor %}\n\n  {{ return(result) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3418958, "supported_languages": null}, "macro.dbt.get_merge_update_columns": {"name": "get_merge_update_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.get_merge_update_columns", "macro_sql": "{% macro get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) %}\n  {{ return(adapter.dispatch('get_merge_update_columns', 'dbt')(merge_update_columns, merge_exclude_columns, dest_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_merge_update_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.342168, "supported_languages": null}, "macro.dbt.default__get_merge_update_columns": {"name": "default__get_merge_update_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.default__get_merge_update_columns", "macro_sql": "{% macro default__get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) %}\n  {%- set default_cols = dest_columns | map(attribute=\"quoted\") | list -%}\n\n  {%- if merge_update_columns and merge_exclude_columns -%}\n    {{ exceptions.raise_compiler_error(\n        'Model cannot specify merge_update_columns and merge_exclude_columns. Please update model to use only one config'\n    )}}\n  {%- elif merge_update_columns -%}\n    {%- set update_columns = merge_update_columns -%}\n  {%- elif merge_exclude_columns -%}\n    {%- set update_columns = [] -%}\n    {%- for column in dest_columns -%}\n      {% if column.column | lower not in merge_exclude_columns | map(\"lower\") | list %}\n        {%- do update_columns.append(column.quoted) -%}\n      {% endif %}\n    {%- endfor -%}\n  {%- else -%}\n    {%- set update_columns = default_cols -%}\n  {%- endif -%}\n\n  {{ return(update_columns) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.342924, "supported_languages": null}, "macro.dbt.get_merge_sql": {"name": "get_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_merge_sql", "macro_sql": "{% macro get_merge_sql(target, source, unique_key, dest_columns, incremental_predicates=none) -%}\n   -- back compat for old kwarg name\n  {% set incremental_predicates = kwargs.get('predicates', incremental_predicates) %}\n  {{ adapter.dispatch('get_merge_sql', 'dbt')(target, source, unique_key, dest_columns, incremental_predicates) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3494148, "supported_languages": null}, "macro.dbt.default__get_merge_sql": {"name": "default__get_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_merge_sql", "macro_sql": "{% macro default__get_merge_sql(target, source, unique_key, dest_columns, incremental_predicates=none) -%}\n    {%- set predicates = [] if incremental_predicates is none else [] + incremental_predicates -%}\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n    {%- set merge_update_columns = config.get('merge_update_columns') -%}\n    {%- set merge_exclude_columns = config.get('merge_exclude_columns') -%}\n    {%- set update_columns = get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {% if unique_key %}\n        {% if unique_key is sequence and unique_key is not mapping and unique_key is not string %}\n            {% for key in unique_key %}\n                {% set this_key_match %}\n                    DBT_INTERNAL_SOURCE.{{ key }} = DBT_INTERNAL_DEST.{{ key }}\n                {% endset %}\n                {% do predicates.append(this_key_match) %}\n            {% endfor %}\n        {% else %}\n            {% set unique_key_match %}\n                DBT_INTERNAL_SOURCE.{{ unique_key }} = DBT_INTERNAL_DEST.{{ unique_key }}\n            {% endset %}\n            {% do predicates.append(unique_key_match) %}\n        {% endif %}\n    {% else %}\n        {% do predicates.append('FALSE') %}\n    {% endif %}\n\n    {{ sql_header if sql_header is not none }}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n        using {{ source }} as DBT_INTERNAL_SOURCE\n        on {{\"(\" ~ predicates | join(\") and (\") ~ \")\"}}\n\n    {% if unique_key %}\n    when matched then update set\n        {% for column_name in update_columns -%}\n            {{ column_name }} = DBT_INTERNAL_SOURCE.{{ column_name }}\n            {%- if not loop.last %}, {%- endif %}\n        {%- endfor %}\n    {% endif %}\n\n    when not matched then insert\n        ({{ dest_cols_csv }})\n    values\n        ({{ dest_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv", "macro.dbt.get_merge_update_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3512971, "supported_languages": null}, "macro.dbt.get_delete_insert_merge_sql": {"name": "get_delete_insert_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_delete_insert_merge_sql", "macro_sql": "{% macro get_delete_insert_merge_sql(target, source, unique_key, dest_columns, incremental_predicates) -%}\n  {{ adapter.dispatch('get_delete_insert_merge_sql', 'dbt')(target, source, unique_key, dest_columns, incremental_predicates) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_delete_insert_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.351578, "supported_languages": null}, "macro.dbt.default__get_delete_insert_merge_sql": {"name": "default__get_delete_insert_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_delete_insert_merge_sql", "macro_sql": "{% macro default__get_delete_insert_merge_sql(target, source, unique_key, dest_columns, incremental_predicates) -%}\n\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n    {% if unique_key %}\n        {% if unique_key is sequence and unique_key is not string %}\n            delete from {{target }}\n            using {{ source }}\n            where (\n                {% for key in unique_key %}\n                    {{ source }}.{{ key }} = {{ target }}.{{ key }}\n                    {{ \"and \" if not loop.last}}\n                {% endfor %}\n                {% if incremental_predicates %}\n                    {% for predicate in incremental_predicates %}\n                        and {{ predicate }}\n                    {% endfor %}\n                {% endif %}\n            );\n        {% else %}\n            delete from {{ target }}\n            where (\n                {{ unique_key }}) in (\n                select ({{ unique_key }})\n                from {{ source }}\n            )\n            {%- if incremental_predicates %}\n                {% for predicate in incremental_predicates %}\n                    and {{ predicate }}\n                {% endfor %}\n            {%- endif -%};\n\n        {% endif %}\n    {% endif %}\n\n    insert into {{ target }} ({{ dest_cols_csv }})\n    (\n        select {{ dest_cols_csv }}\n        from {{ source }}\n    )\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3526468, "supported_languages": null}, "macro.dbt.get_insert_overwrite_merge_sql": {"name": "get_insert_overwrite_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_insert_overwrite_merge_sql", "macro_sql": "{% macro get_insert_overwrite_merge_sql(target, source, dest_columns, predicates, include_sql_header=false) -%}\n  {{ adapter.dispatch('get_insert_overwrite_merge_sql', 'dbt')(target, source, dest_columns, predicates, include_sql_header) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3529332, "supported_languages": null}, "macro.dbt.default__get_insert_overwrite_merge_sql": {"name": "default__get_insert_overwrite_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_insert_overwrite_merge_sql", "macro_sql": "{% macro default__get_insert_overwrite_merge_sql(target, source, dest_columns, predicates, include_sql_header) -%}\n    {#-- The only time include_sql_header is True: --#}\n    {#-- BigQuery + insert_overwrite strategy + \"static\" partitions config --#}\n    {#-- We should consider including the sql header at the materialization level instead --#}\n\n    {%- set predicates = [] if predicates is none else [] + predicates -%}\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {{ sql_header if sql_header is not none and include_sql_header }}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n        using {{ source }} as DBT_INTERNAL_SOURCE\n        on FALSE\n\n    when not matched by source\n        {% if predicates %} and {{ predicates | join(' and ') }} {% endif %}\n        then delete\n\n    when not matched then insert\n        ({{ dest_cols_csv }})\n    values\n        ({{ dest_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.35362, "supported_languages": null}, "macro.dbt.is_incremental": {"name": "is_incremental", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/is_incremental.sql", "original_file_path": "macros/materializations/models/incremental/is_incremental.sql", "unique_id": "macro.dbt.is_incremental", "macro_sql": "{% macro is_incremental() %}\n    {#-- do not run introspective queries in parsing #}\n    {% if not execute %}\n        {{ return(False) }}\n    {% else %}\n        {% set relation = adapter.get_relation(this.database, this.schema, this.table) %}\n        {{ return(relation is not none\n                  and relation.type == 'table'\n                  and model.config.materialized == 'incremental'\n                  and not should_full_refresh()) }}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.354283, "supported_languages": null}, "macro.dbt.get_incremental_append_sql": {"name": "get_incremental_append_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_append_sql", "macro_sql": "{% macro get_incremental_append_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_append_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_append_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.35519, "supported_languages": null}, "macro.dbt.default__get_incremental_append_sql": {"name": "default__get_incremental_append_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_append_sql", "macro_sql": "{% macro default__get_incremental_append_sql(arg_dict) %}\n\n  {% do return(get_insert_into_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"dest_columns\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_insert_into_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3554401, "supported_languages": null}, "macro.dbt.get_incremental_delete_insert_sql": {"name": "get_incremental_delete_insert_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_delete_insert_sql", "macro_sql": "{% macro get_incremental_delete_insert_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_delete_insert_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_delete_insert_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.355637, "supported_languages": null}, "macro.dbt.default__get_incremental_delete_insert_sql": {"name": "default__get_incremental_delete_insert_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_delete_insert_sql", "macro_sql": "{% macro default__get_incremental_delete_insert_sql(arg_dict) %}\n\n  {% do return(get_delete_insert_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"unique_key\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_delete_insert_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.355954, "supported_languages": null}, "macro.dbt.get_incremental_merge_sql": {"name": "get_incremental_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_merge_sql", "macro_sql": "{% macro get_incremental_merge_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_merge_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.356151, "supported_languages": null}, "macro.dbt.default__get_incremental_merge_sql": {"name": "default__get_incremental_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_merge_sql", "macro_sql": "{% macro default__get_incremental_merge_sql(arg_dict) %}\n\n  {% do return(get_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"unique_key\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3564641, "supported_languages": null}, "macro.dbt.get_incremental_insert_overwrite_sql": {"name": "get_incremental_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_insert_overwrite_sql", "macro_sql": "{% macro get_incremental_insert_overwrite_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_insert_overwrite_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_insert_overwrite_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3566568, "supported_languages": null}, "macro.dbt.default__get_incremental_insert_overwrite_sql": {"name": "default__get_incremental_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_insert_overwrite_sql", "macro_sql": "{% macro default__get_incremental_insert_overwrite_sql(arg_dict) %}\n\n  {% do return(get_insert_overwrite_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.356939, "supported_languages": null}, "macro.dbt.get_incremental_default_sql": {"name": "get_incremental_default_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_default_sql", "macro_sql": "{% macro get_incremental_default_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_default_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_default_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.35713, "supported_languages": null}, "macro.dbt.default__get_incremental_default_sql": {"name": "default__get_incremental_default_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_default_sql", "macro_sql": "{% macro default__get_incremental_default_sql(arg_dict) %}\n\n  {% do return(get_incremental_append_sql(arg_dict)) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_incremental_append_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.357292, "supported_languages": null}, "macro.dbt.get_insert_into_sql": {"name": "get_insert_into_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_insert_into_sql", "macro_sql": "{% macro get_insert_into_sql(target_relation, temp_relation, dest_columns) %}\n\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n    insert into {{ target_relation }} ({{ dest_cols_csv }})\n    (\n        select {{ dest_cols_csv }}\n        from {{ temp_relation }}\n    )\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.357582, "supported_languages": null}, "macro.dbt.materialization_incremental_default": {"name": "materialization_incremental_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/incremental.sql", "original_file_path": "macros/materializations/models/incremental/incremental.sql", "unique_id": "macro.dbt.materialization_incremental_default", "macro_sql": "{% materialization incremental, default -%}\n\n  -- relations\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='table') -%}\n  {%- set temp_relation = make_temp_relation(target_relation)-%}\n  {%- set intermediate_relation = make_intermediate_relation(target_relation)-%}\n  {%- set backup_relation_type = 'table' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n\n  -- configs\n  {%- set unique_key = config.get('unique_key') -%}\n  {%- set full_refresh_mode = (should_full_refresh()  or existing_relation.is_view) -%}\n  {%- set on_schema_change = incremental_validate_on_schema_change(config.get('on_schema_change'), default='ignore') -%}\n\n  -- the temp_ and backup_ relations should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation. This has to happen before\n  -- BEGIN, in a separate transaction\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation)-%}\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n   -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  {% set to_drop = [] %}\n\n  {% if existing_relation is none %}\n      {% set build_sql = get_create_table_as_sql(False, target_relation, sql) %}\n  {% elif full_refresh_mode %}\n      {% set build_sql = get_create_table_as_sql(False, intermediate_relation, sql) %}\n      {% set need_swap = true %}\n  {% else %}\n    {% do run_query(get_create_table_as_sql(True, temp_relation, sql)) %}\n    {% do adapter.expand_target_column_types(\n             from_relation=temp_relation,\n             to_relation=target_relation) %}\n    {#-- Process schema changes. Returns dict of changes if successful. Use source columns for upserting/merging --#}\n    {% set dest_columns = process_schema_changes(on_schema_change, temp_relation, existing_relation) %}\n    {% if not dest_columns %}\n      {% set dest_columns = adapter.get_columns_in_relation(existing_relation) %}\n    {% endif %}\n\n    {#-- Get the incremental_strategy, the macro to use for the strategy, and build the sql --#}\n    {% set incremental_strategy = config.get('incremental_strategy') or 'default' %}\n    {% set incremental_predicates = config.get('predicates', none) or config.get('incremental_predicates', none) %}\n    {% set strategy_sql_macro_func = adapter.get_incremental_strategy_macro(context, incremental_strategy) %}\n    {% set strategy_arg_dict = ({'target_relation': target_relation, 'temp_relation': temp_relation, 'unique_key': unique_key, 'dest_columns': dest_columns, 'incremental_predicates': incremental_predicates }) %}\n    {% set build_sql = strategy_sql_macro_func(strategy_arg_dict) %}\n\n  {% endif %}\n\n  {% call statement(\"main\") %}\n      {{ build_sql }}\n  {% endcall %}\n\n  {% if need_swap %}\n      {% do adapter.rename_relation(target_relation, backup_relation) %}\n      {% do adapter.rename_relation(intermediate_relation, target_relation) %}\n      {% do to_drop.append(backup_relation) %}\n  {% endif %}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if existing_relation is none or existing_relation.is_view or should_full_refresh() %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  -- `COMMIT` happens here\n  {% do adapter.commit() %}\n\n  {% for rel in to_drop %}\n      {% do adapter.drop_relation(rel) %}\n  {% endfor %}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_temp_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.should_full_refresh", "macro.dbt.incremental_validate_on_schema_change", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks", "macro.dbt.get_create_table_as_sql", "macro.dbt.run_query", "macro.dbt.process_schema_changes", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.362808, "supported_languages": ["sql"]}, "macro.dbt.incremental_validate_on_schema_change": {"name": "incremental_validate_on_schema_change", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.incremental_validate_on_schema_change", "macro_sql": "{% macro incremental_validate_on_schema_change(on_schema_change, default='ignore') %}\n\n   {% if on_schema_change not in ['sync_all_columns', 'append_new_columns', 'fail', 'ignore'] %}\n\n     {% set log_message = 'Invalid value for on_schema_change (%s) specified. Setting default value of %s.' % (on_schema_change, default) %}\n     {% do log(log_message) %}\n\n     {{ return(default) }}\n\n   {% else %}\n\n     {{ return(on_schema_change) }}\n\n   {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.368504, "supported_languages": null}, "macro.dbt.check_for_schema_changes": {"name": "check_for_schema_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.check_for_schema_changes", "macro_sql": "{% macro check_for_schema_changes(source_relation, target_relation) %}\n\n  {% set schema_changed = False %}\n\n  {%- set source_columns = adapter.get_columns_in_relation(source_relation) -%}\n  {%- set target_columns = adapter.get_columns_in_relation(target_relation) -%}\n  {%- set source_not_in_target = diff_columns(source_columns, target_columns) -%}\n  {%- set target_not_in_source = diff_columns(target_columns, source_columns) -%}\n\n  {% set new_target_types = diff_column_data_types(source_columns, target_columns) %}\n\n  {% if source_not_in_target != [] %}\n    {% set schema_changed = True %}\n  {% elif target_not_in_source != [] or new_target_types != [] %}\n    {% set schema_changed = True %}\n  {% elif new_target_types != [] %}\n    {% set schema_changed = True %}\n  {% endif %}\n\n  {% set changes_dict = {\n    'schema_changed': schema_changed,\n    'source_not_in_target': source_not_in_target,\n    'target_not_in_source': target_not_in_source,\n    'source_columns': source_columns,\n    'target_columns': target_columns,\n    'new_target_types': new_target_types\n  } %}\n\n  {% set msg %}\n    In {{ target_relation }}:\n        Schema changed: {{ schema_changed }}\n        Source columns not in target: {{ source_not_in_target }}\n        Target columns not in source: {{ target_not_in_source }}\n        New column types: {{ new_target_types }}\n  {% endset %}\n\n  {% do log(msg) %}\n\n  {{ return(changes_dict) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.diff_columns", "macro.dbt.diff_column_data_types"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.369806, "supported_languages": null}, "macro.dbt.sync_column_schemas": {"name": "sync_column_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.sync_column_schemas", "macro_sql": "{% macro sync_column_schemas(on_schema_change, target_relation, schema_changes_dict) %}\n\n  {%- set add_to_target_arr = schema_changes_dict['source_not_in_target'] -%}\n\n  {%- if on_schema_change == 'append_new_columns'-%}\n     {%- if add_to_target_arr | length > 0 -%}\n       {%- do alter_relation_add_remove_columns(target_relation, add_to_target_arr, none) -%}\n     {%- endif -%}\n\n  {% elif on_schema_change == 'sync_all_columns' %}\n     {%- set remove_from_target_arr = schema_changes_dict['target_not_in_source'] -%}\n     {%- set new_target_types = schema_changes_dict['new_target_types'] -%}\n\n     {% if add_to_target_arr | length > 0 or remove_from_target_arr | length > 0 %}\n       {%- do alter_relation_add_remove_columns(target_relation, add_to_target_arr, remove_from_target_arr) -%}\n     {% endif %}\n\n     {% if new_target_types != [] %}\n       {% for ntt in new_target_types %}\n         {% set column_name = ntt['column_name'] %}\n         {% set new_type = ntt['new_type'] %}\n         {% do alter_column_type(target_relation, column_name, new_type) %}\n       {% endfor %}\n     {% endif %}\n\n  {% endif %}\n\n  {% set schema_change_message %}\n    In {{ target_relation }}:\n        Schema change approach: {{ on_schema_change }}\n        Columns added: {{ add_to_target_arr }}\n        Columns removed: {{ remove_from_target_arr }}\n        Data types changed: {{ new_target_types }}\n  {% endset %}\n\n  {% do log(schema_change_message) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.alter_relation_add_remove_columns", "macro.dbt.alter_column_type"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.37107, "supported_languages": null}, "macro.dbt.process_schema_changes": {"name": "process_schema_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.process_schema_changes", "macro_sql": "{% macro process_schema_changes(on_schema_change, source_relation, target_relation) %}\n\n    {% if on_schema_change == 'ignore' %}\n\n     {{ return({}) }}\n\n    {% else %}\n\n      {% set schema_changes_dict = check_for_schema_changes(source_relation, target_relation) %}\n\n      {% if schema_changes_dict['schema_changed'] %}\n\n        {% if on_schema_change == 'fail' %}\n\n          {% set fail_msg %}\n              The source and target schemas on this incremental model are out of sync!\n              They can be reconciled in several ways:\n                - set the `on_schema_change` config to either append_new_columns or sync_all_columns, depending on your situation.\n                - Re-run the incremental model with `full_refresh: True` to update the target schema.\n                - update the schema manually and re-run the process.\n\n              Additional troubleshooting context:\n                 Source columns not in target: {{ schema_changes_dict['source_not_in_target'] }}\n                 Target columns not in source: {{ schema_changes_dict['target_not_in_source'] }}\n                 New column types: {{ schema_changes_dict['new_target_types'] }}\n          {% endset %}\n\n          {% do exceptions.raise_compiler_error(fail_msg) %}\n\n        {# -- unless we ignore, run the sync operation per the config #}\n        {% else %}\n\n          {% do sync_column_schemas(on_schema_change, target_relation, schema_changes_dict) %}\n\n        {% endif %}\n\n      {% endif %}\n\n      {{ return(schema_changes_dict['source_columns']) }}\n\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.check_for_schema_changes", "macro.dbt.sync_column_schemas"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.371972, "supported_languages": null}, "macro.dbt.get_table_columns_and_constraints": {"name": "get_table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.get_table_columns_and_constraints", "macro_sql": "{%- macro get_table_columns_and_constraints() -%}\n  {{ adapter.dispatch('get_table_columns_and_constraints', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__get_table_columns_and_constraints"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.373019, "supported_languages": null}, "macro.dbt.default__get_table_columns_and_constraints": {"name": "default__get_table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__get_table_columns_and_constraints", "macro_sql": "{% macro default__get_table_columns_and_constraints() -%}\n  {{ return(table_columns_and_constraints()) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.table_columns_and_constraints"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.373148, "supported_languages": null}, "macro.dbt.table_columns_and_constraints": {"name": "table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.table_columns_and_constraints", "macro_sql": "{% macro table_columns_and_constraints() %}\n  {# loop through user_provided_columns to create DDL with data types and constraints #}\n    {%- set raw_column_constraints = adapter.render_raw_columns_constraints(raw_columns=model['columns']) -%}\n    {%- set raw_model_constraints = adapter.render_raw_model_constraints(raw_constraints=model['constraints']) -%}\n    (\n    {% for c in raw_column_constraints -%}\n      {{ c }}{{ \",\" if not loop.last or raw_model_constraints }}\n    {% endfor %}\n    {% for c in raw_model_constraints -%}\n        {{ c }}{{ \",\" if not loop.last }}\n    {% endfor -%}\n    )\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3737118, "supported_languages": null}, "macro.dbt.get_assert_columns_equivalent": {"name": "get_assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.get_assert_columns_equivalent", "macro_sql": "\n\n{%- macro get_assert_columns_equivalent(sql) -%}\n  {{ adapter.dispatch('get_assert_columns_equivalent', 'dbt')(sql) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.373889, "supported_languages": null}, "macro.dbt.default__get_assert_columns_equivalent": {"name": "default__get_assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__get_assert_columns_equivalent", "macro_sql": "{% macro default__get_assert_columns_equivalent(sql) -%}\n  {{ return(assert_columns_equivalent(sql)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.374035, "supported_languages": null}, "macro.dbt.assert_columns_equivalent": {"name": "assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.assert_columns_equivalent", "macro_sql": "{% macro assert_columns_equivalent(sql) %}\n\n  {#-- First ensure the user has defined 'columns' in yaml specification --#}\n  {%- set user_defined_columns = model['columns'] -%}\n  {%- if not user_defined_columns -%}\n      {{ exceptions.raise_contract_error([], []) }}\n  {%- endif -%}\n\n  {#-- Obtain the column schema provided by sql file. #}\n  {%- set sql_file_provided_columns = get_column_schema_from_query(sql, config.get('sql_header', none)) -%}\n  {#--Obtain the column schema provided by the schema file by generating an 'empty schema' query from the model's columns. #}\n  {%- set schema_file_provided_columns = get_column_schema_from_query(get_empty_schema_sql(user_defined_columns)) -%}\n\n  {#-- create dictionaries with name and formatted data type and strings for exception #}\n  {%- set sql_columns = format_columns(sql_file_provided_columns) -%}\n  {%- set yaml_columns = format_columns(schema_file_provided_columns)  -%}\n\n  {%- if sql_columns|length != yaml_columns|length -%}\n    {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n  {%- endif -%}\n\n  {%- for sql_col in sql_columns -%}\n    {%- set yaml_col = [] -%}\n    {%- for this_col in yaml_columns -%}\n      {%- if this_col['name'] == sql_col['name'] -%}\n        {%- do yaml_col.append(this_col) -%}\n        {%- break -%}\n      {%- endif -%}\n    {%- endfor -%}\n    {%- if not yaml_col -%}\n      {#-- Column with name not found in yaml #}\n      {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n    {%- endif -%}\n    {%- if sql_col['formatted'] != yaml_col[0]['formatted'] -%}\n      {#-- Column data types don't match #}\n      {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n    {%- endif -%}\n  {%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_column_schema_from_query", "macro.dbt.get_empty_schema_sql", "macro.dbt.format_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.375387, "supported_languages": null}, "macro.dbt.format_columns": {"name": "format_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.format_columns", "macro_sql": "{% macro format_columns(columns) %}\n  {% set formatted_columns = [] %}\n  {% for column in columns %}\n    {%- set formatted_column = adapter.dispatch('format_column', 'dbt')(column) -%}\n    {%- do formatted_columns.append(formatted_column) -%}\n  {% endfor %}\n  {{ return(formatted_columns) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__format_column"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.375796, "supported_languages": null}, "macro.dbt.default__format_column": {"name": "default__format_column", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/columns_spec_ddl.sql", "original_file_path": "macros/materializations/models/table/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__format_column", "macro_sql": "{% macro default__format_column(column) -%}\n  {% set data_type = column.dtype %}\n  {% set formatted = column.column.lower() ~ \" \" ~ data_type %}\n  {{ return({'name': column.name, 'data_type': data_type, 'formatted': formatted}) }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3761659, "supported_languages": null}, "macro.dbt.materialization_table_default": {"name": "materialization_table_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/table.sql", "original_file_path": "macros/materializations/models/table/table.sql", "unique_id": "macro.dbt.materialization_table_default", "macro_sql": "{% materialization table, default %}\n\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='table') %}\n  {%- set intermediate_relation =  make_intermediate_relation(target_relation) -%}\n  -- the intermediate_relation should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) -%}\n  /*\n      See ../view/view.sql for more information about this relation.\n  */\n  {%- set backup_relation_type = 'table' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n  -- as above, the backup_relation should not already exist\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n  -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n\n  -- drop the temp relations if they exist already in the database\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_table_as_sql(False, intermediate_relation, sql) }}\n  {%- endcall %}\n\n  -- cleanup\n  {% if existing_relation is not none %}\n      {{ adapter.rename_relation(existing_relation, backup_relation) }}\n  {% endif %}\n\n  {{ adapter.rename_relation(intermediate_relation, target_relation) }}\n\n  {% do create_indexes(target_relation) %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  -- `COMMIT` happens here\n  {{ adapter.commit() }}\n\n  -- finally, drop the existing/backup relation after the commit\n  {{ drop_relation_if_exists(backup_relation) }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.get_create_table_as_sql", "macro.dbt.create_indexes", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.37891, "supported_languages": ["sql"]}, "macro.dbt.get_create_table_as_sql": {"name": "get_create_table_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.get_create_table_as_sql", "macro_sql": "{% macro get_create_table_as_sql(temporary, relation, sql) -%}\n  {{ adapter.dispatch('get_create_table_as_sql', 'dbt')(temporary, relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_table_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.379803, "supported_languages": null}, "macro.dbt.default__get_create_table_as_sql": {"name": "default__get_create_table_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__get_create_table_as_sql", "macro_sql": "{% macro default__get_create_table_as_sql(temporary, relation, sql) -%}\n  {{ return(create_table_as(temporary, relation, sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.380001, "supported_languages": null}, "macro.dbt.create_table_as": {"name": "create_table_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.create_table_as", "macro_sql": "{% macro create_table_as(temporary, relation, compiled_code, language='sql') -%}\n  {# backward compatibility for create_table_as that does not support language #}\n  {% if language == \"sql\" %}\n    {{ adapter.dispatch('create_table_as', 'dbt')(temporary, relation, compiled_code)}}\n  {% else %}\n    {{ adapter.dispatch('create_table_as', 'dbt')(temporary, relation, compiled_code, language) }}\n  {% endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.380459, "supported_languages": null}, "macro.dbt.default__create_table_as": {"name": "default__create_table_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__create_table_as", "macro_sql": "{% macro default__create_table_as(temporary, relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n\n  create {% if temporary: -%}temporary{%- endif %} table\n    {{ relation.include(database=(not temporary), schema=(not temporary)) }}\n  {% set contract_config = config.get('contract') %}\n  {% if contract_config.enforced %}\n    {{ get_assert_columns_equivalent(sql) }}\n    {{ get_table_columns_and_constraints() }}\n    {%- set sql = get_select_subquery(sql) %}\n  {% endif %}\n  as (\n    {{ sql }}\n  );\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_assert_columns_equivalent", "macro.dbt.get_table_columns_and_constraints", "macro.dbt.get_select_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.381164, "supported_languages": null}, "macro.dbt.default__get_column_names": {"name": "default__get_column_names", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__get_column_names", "macro_sql": "{% macro default__get_column_names() %}\n  {#- loop through user_provided_columns to get column names -#}\n    {%- set user_provided_columns = model['columns'] -%}\n    {%- for i in user_provided_columns %}\n      {%- set col = user_provided_columns[i] -%}\n      {%- set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] -%}\n      {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3816588, "supported_languages": null}, "macro.dbt.get_select_subquery": {"name": "get_select_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.get_select_subquery", "macro_sql": "{% macro get_select_subquery(sql) %}\n  {{ return(adapter.dispatch('get_select_subquery', 'dbt')(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_select_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.381856, "supported_languages": null}, "macro.dbt.default__get_select_subquery": {"name": "default__get_select_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "unique_id": "macro.dbt.default__get_select_subquery", "macro_sql": "{% macro default__get_select_subquery(sql) %}\n    select {{ adapter.dispatch('get_column_names', 'dbt')() }}\n    from (\n        {{ sql }}\n    ) as model_subq\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_column_names"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.382048, "supported_languages": null}, "macro.dbt.materialization_view_default": {"name": "materialization_view_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/view.sql", "original_file_path": "macros/materializations/models/view/view.sql", "unique_id": "macro.dbt.materialization_view_default", "macro_sql": "{%- materialization view, default -%}\n\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='view') -%}\n  {%- set intermediate_relation =  make_intermediate_relation(target_relation) -%}\n\n  -- the intermediate_relation should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) -%}\n  /*\n     This relation (probably) doesn't exist yet. If it does exist, it's a leftover from\n     a previous run, and we're going to try to drop it immediately. At the end of this\n     materialization, we're going to rename the \"existing_relation\" to this identifier,\n     and then we're going to drop it. In order to make sure we run the correct one of:\n       - drop view ...\n       - drop table ...\n\n     We need to set the type of this relation to be the type of the existing_relation, if it exists,\n     or else \"view\" as a sane default if it does not. Note that if the existing_relation does not\n     exist, then there is nothing to move out of the way and subsequentally drop. In that case,\n     this relation will be effectively unused.\n  */\n  {%- set backup_relation_type = 'view' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n  -- as above, the backup_relation should not already exist\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n  -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- drop the temp relations if they exist already in the database\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_view_as_sql(intermediate_relation, sql) }}\n  {%- endcall %}\n\n  -- cleanup\n  -- move the existing view out of the way\n  {% if existing_relation is not none %}\n    {{ adapter.rename_relation(existing_relation, backup_relation) }}\n  {% endif %}\n  {{ adapter.rename_relation(intermediate_relation, target_relation) }}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {{ adapter.commit() }}\n\n  {{ drop_relation_if_exists(backup_relation) }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization -%}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.run_hooks", "macro.dbt.drop_relation_if_exists", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.384732, "supported_languages": ["sql"]}, "macro.dbt.handle_existing_table": {"name": "handle_existing_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/helpers.sql", "original_file_path": "macros/materializations/models/view/helpers.sql", "unique_id": "macro.dbt.handle_existing_table", "macro_sql": "{% macro handle_existing_table(full_refresh, old_relation) %}\n    {{ adapter.dispatch('handle_existing_table', 'dbt')(full_refresh, old_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__handle_existing_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.385047, "supported_languages": null}, "macro.dbt.default__handle_existing_table": {"name": "default__handle_existing_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/helpers.sql", "original_file_path": "macros/materializations/models/view/helpers.sql", "unique_id": "macro.dbt.default__handle_existing_table", "macro_sql": "{% macro default__handle_existing_table(full_refresh, old_relation) %}\n    {{ log(\"Dropping relation \" ~ old_relation ~ \" because it is of type \" ~ old_relation.type) }}\n    {{ adapter.drop_relation(old_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.385281, "supported_languages": null}, "macro.dbt.create_or_replace_view": {"name": "create_or_replace_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_or_replace_view.sql", "original_file_path": "macros/materializations/models/view/create_or_replace_view.sql", "unique_id": "macro.dbt.create_or_replace_view", "macro_sql": "{% macro create_or_replace_view() %}\n  {%- set identifier = model['alias'] -%}\n\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n  {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n  {%- set target_relation = api.Relation.create(\n      identifier=identifier, schema=schema, database=database,\n      type='view') -%}\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks) }}\n\n  -- If there's a table with the same name and we weren't told to full refresh,\n  -- that's an error. If we were told to full refresh, drop it. This behavior differs\n  -- for Snowflake and BigQuery, so multiple dispatch is used.\n  {%- if old_relation is not none and old_relation.is_table -%}\n    {{ handle_existing_table(should_full_refresh(), old_relation) }}\n  {%- endif -%}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_view_as_sql(target_relation, sql) }}\n  {%- endcall %}\n\n  {% set should_revoke = should_revoke(exists_as_view, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {{ run_hooks(post_hooks) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.handle_existing_table", "macro.dbt.should_full_refresh", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.386851, "supported_languages": null}, "macro.dbt.get_create_view_as_sql": {"name": "get_create_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.get_create_view_as_sql", "macro_sql": "{% macro get_create_view_as_sql(relation, sql) -%}\n  {{ adapter.dispatch('get_create_view_as_sql', 'dbt')(relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3872871, "supported_languages": null}, "macro.dbt.default__get_create_view_as_sql": {"name": "default__get_create_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.default__get_create_view_as_sql", "macro_sql": "{% macro default__get_create_view_as_sql(relation, sql) -%}\n  {{ return(create_view_as(relation, sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_view_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3874612, "supported_languages": null}, "macro.dbt.create_view_as": {"name": "create_view_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.create_view_as", "macro_sql": "{% macro create_view_as(relation, sql) -%}\n  {{ adapter.dispatch('create_view_as', 'dbt')(relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_view_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.38765, "supported_languages": null}, "macro.dbt.default__create_view_as": {"name": "default__create_view_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "unique_id": "macro.dbt.default__create_view_as", "macro_sql": "{% macro default__create_view_as(relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n  create view {{ relation }}\n    {% set contract_config = config.get('contract') %}\n    {% if contract_config.enforced %}\n      {{ get_assert_columns_equivalent(sql) }}\n    {%- endif %}\n  as (\n    {{ sql }}\n  );\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3881001, "supported_languages": null}, "macro.dbt.materialization_seed_default": {"name": "materialization_seed_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/seed.sql", "original_file_path": "macros/materializations/seeds/seed.sql", "unique_id": "macro.dbt.materialization_seed_default", "macro_sql": "{% materialization seed, default %}\n\n  {%- set identifier = model['alias'] -%}\n  {%- set full_refresh_mode = (should_full_refresh()) -%}\n\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n\n  {%- set exists_as_table = (old_relation is not none and old_relation.is_table) -%}\n  {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n  {%- set grant_config = config.get('grants') -%}\n  {%- set agate_table = load_agate_table() -%}\n  -- grab current tables grants config for comparision later on\n\n  {%- do store_result('agate_table', response='OK', agate_table=agate_table) -%}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% set create_table_sql = \"\" %}\n  {% if exists_as_view %}\n    {{ exceptions.raise_compiler_error(\"Cannot seed to '{}', it is a view\".format(old_relation)) }}\n  {% elif exists_as_table %}\n    {% set create_table_sql = reset_csv_table(model, full_refresh_mode, old_relation, agate_table) %}\n  {% else %}\n    {% set create_table_sql = create_csv_table(model, agate_table) %}\n  {% endif %}\n\n  {% set code = 'CREATE' if full_refresh_mode else 'INSERT' %}\n  {% set rows_affected = (agate_table.rows | length) %}\n  {% set sql = load_csv_rows(model, agate_table) %}\n\n  {% call noop_statement('main', code ~ ' ' ~ rows_affected, code, rows_affected) %}\n    {{ get_csv_sql(create_table_sql, sql) }};\n  {% endcall %}\n\n  {% set target_relation = this.incorporate(type='table') %}\n\n  {% set should_revoke = should_revoke(old_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if full_refresh_mode or not exists_as_table %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  -- `COMMIT` happens here\n  {{ adapter.commit() }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh", "macro.dbt.run_hooks", "macro.dbt.reset_csv_table", "macro.dbt.create_csv_table", "macro.dbt.load_csv_rows", "macro.dbt.noop_statement", "macro.dbt.get_csv_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3915431, "supported_languages": ["sql"]}, "macro.dbt.create_csv_table": {"name": "create_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.create_csv_table", "macro_sql": "{% macro create_csv_table(model, agate_table) -%}\n  {{ adapter.dispatch('create_csv_table', 'dbt')(model, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.396779, "supported_languages": null}, "macro.dbt.default__create_csv_table": {"name": "default__create_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__create_csv_table", "macro_sql": "{% macro default__create_csv_table(model, agate_table) %}\n  {%- set column_override = model['config'].get('column_types', {}) -%}\n  {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}\n\n  {% set sql %}\n    create table {{ this.render() }} (\n        {%- for col_name in agate_table.column_names -%}\n            {%- set inferred_type = adapter.convert_type(agate_table, loop.index0) -%}\n            {%- set type = column_override.get(col_name, inferred_type) -%}\n            {%- set column_name = (col_name | string) -%}\n            {{ adapter.quote_seed_column(column_name, quote_seed_column) }} {{ type }} {%- if not loop.last -%}, {%- endif -%}\n        {%- endfor -%}\n    )\n  {% endset %}\n\n  {% call statement('_') -%}\n    {{ sql }}\n  {%- endcall %}\n\n  {{ return(sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.397724, "supported_languages": null}, "macro.dbt.reset_csv_table": {"name": "reset_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.reset_csv_table", "macro_sql": "{% macro reset_csv_table(model, full_refresh, old_relation, agate_table) -%}\n  {{ adapter.dispatch('reset_csv_table', 'dbt')(model, full_refresh, old_relation, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__reset_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.397986, "supported_languages": null}, "macro.dbt.default__reset_csv_table": {"name": "default__reset_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__reset_csv_table", "macro_sql": "{% macro default__reset_csv_table(model, full_refresh, old_relation, agate_table) %}\n    {% set sql = \"\" %}\n    {% if full_refresh %}\n        {{ adapter.drop_relation(old_relation) }}\n        {% set sql = create_csv_table(model, agate_table) %}\n    {% else %}\n        {{ adapter.truncate_relation(old_relation) }}\n        {% set sql = \"truncate table \" ~ old_relation %}\n    {% endif %}\n\n    {{ return(sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.398528, "supported_languages": null}, "macro.dbt.get_csv_sql": {"name": "get_csv_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_csv_sql", "macro_sql": "{% macro get_csv_sql(create_or_truncate_sql, insert_sql) %}\n    {{ adapter.dispatch('get_csv_sql', 'dbt')(create_or_truncate_sql, insert_sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_csv_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.398732, "supported_languages": null}, "macro.dbt.default__get_csv_sql": {"name": "default__get_csv_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_csv_sql", "macro_sql": "{% macro default__get_csv_sql(create_or_truncate_sql, insert_sql) %}\n    {{ create_or_truncate_sql }};\n    -- dbt seed --\n    {{ insert_sql }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3988721, "supported_languages": null}, "macro.dbt.get_binding_char": {"name": "get_binding_char", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_binding_char", "macro_sql": "{% macro get_binding_char() -%}\n  {{ adapter.dispatch('get_binding_char', 'dbt')() }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_binding_char"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3990211, "supported_languages": null}, "macro.dbt.default__get_binding_char": {"name": "default__get_binding_char", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_binding_char", "macro_sql": "{% macro default__get_binding_char() %}\n  {{ return('%s') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.399145, "supported_languages": null}, "macro.dbt.get_batch_size": {"name": "get_batch_size", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_batch_size", "macro_sql": "{% macro get_batch_size() -%}\n  {{ return(adapter.dispatch('get_batch_size', 'dbt')()) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_batch_size"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.3993118, "supported_languages": null}, "macro.dbt.default__get_batch_size": {"name": "default__get_batch_size", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_batch_size", "macro_sql": "{% macro default__get_batch_size() %}\n  {{ return(10000) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.399436, "supported_languages": null}, "macro.dbt.get_seed_column_quoted_csv": {"name": "get_seed_column_quoted_csv", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_seed_column_quoted_csv", "macro_sql": "{% macro get_seed_column_quoted_csv(model, column_names) %}\n  {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}\n    {% set quoted = [] %}\n    {% for col in column_names -%}\n        {%- do quoted.append(adapter.quote_seed_column(col, quote_seed_column)) -%}\n    {%- endfor %}\n\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.39995, "supported_languages": null}, "macro.dbt.load_csv_rows": {"name": "load_csv_rows", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.load_csv_rows", "macro_sql": "{% macro load_csv_rows(model, agate_table) -%}\n  {{ adapter.dispatch('load_csv_rows', 'dbt')(model, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__load_csv_rows"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.400146, "supported_languages": null}, "macro.dbt.default__load_csv_rows": {"name": "default__load_csv_rows", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__load_csv_rows", "macro_sql": "{% macro default__load_csv_rows(model, agate_table) %}\n\n  {% set batch_size = get_batch_size() %}\n\n  {% set cols_sql = get_seed_column_quoted_csv(model, agate_table.column_names) %}\n  {% set bindings = [] %}\n\n  {% set statements = [] %}\n\n  {% for chunk in agate_table.rows | batch(batch_size) %}\n      {% set bindings = [] %}\n\n      {% for row in chunk %}\n          {% do bindings.extend(row) %}\n      {% endfor %}\n\n      {% set sql %}\n          insert into {{ this.render() }} ({{ cols_sql }}) values\n          {% for row in chunk -%}\n              ({%- for column in agate_table.column_names -%}\n                  {{ get_binding_char() }}\n                  {%- if not loop.last%},{%- endif %}\n              {%- endfor -%})\n              {%- if not loop.last%},{%- endif %}\n          {%- endfor %}\n      {% endset %}\n\n      {% do adapter.add_query(sql, bindings=bindings, abridge_sql_log=True) %}\n\n      {% if loop.index0 == 0 %}\n          {% do statements.append(sql) %}\n      {% endif %}\n  {% endfor %}\n\n  {# Return SQL so we can render it out into the compiled files #}\n  {{ return(statements[0]) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_batch_size", "macro.dbt.get_seed_column_quoted_csv", "macro.dbt.get_binding_char"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.401506, "supported_languages": null}, "macro.dbt.generate_alias_name": {"name": "generate_alias_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_alias.sql", "original_file_path": "macros/get_custom_name/get_custom_alias.sql", "unique_id": "macro.dbt.generate_alias_name", "macro_sql": "{% macro generate_alias_name(custom_alias_name=none, node=none) -%}\n    {% do return(adapter.dispatch('generate_alias_name', 'dbt')(custom_alias_name, node)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_alias_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.401948, "supported_languages": null}, "macro.dbt.default__generate_alias_name": {"name": "default__generate_alias_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_alias.sql", "original_file_path": "macros/get_custom_name/get_custom_alias.sql", "unique_id": "macro.dbt.default__generate_alias_name", "macro_sql": "{% macro default__generate_alias_name(custom_alias_name=none, node=none) -%}\n\n    {%- if custom_alias_name -%}\n\n        {{ custom_alias_name | trim }}\n\n    {%- elif node.version -%}\n\n        {{ return(node.name ~ \"_v\" ~ (node.version | replace(\".\", \"_\"))) }}\n\n    {%- else -%}\n\n        {{ node.name }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4023528, "supported_languages": null}, "macro.dbt.generate_schema_name": {"name": "generate_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.generate_schema_name", "macro_sql": "{% macro generate_schema_name(custom_schema_name=none, node=none) -%}\n    {{ return(adapter.dispatch('generate_schema_name', 'dbt')(custom_schema_name, node)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_schema_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.402891, "supported_languages": null}, "macro.dbt.default__generate_schema_name": {"name": "default__generate_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.default__generate_schema_name", "macro_sql": "{% macro default__generate_schema_name(custom_schema_name, node) -%}\n\n    {%- set default_schema = target.schema -%}\n    {%- if custom_schema_name is none -%}\n\n        {{ default_schema }}\n\n    {%- else -%}\n\n        {{ default_schema }}_{{ custom_schema_name | trim }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.403171, "supported_languages": null}, "macro.dbt.generate_schema_name_for_env": {"name": "generate_schema_name_for_env", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.generate_schema_name_for_env", "macro_sql": "{% macro generate_schema_name_for_env(custom_schema_name, node) -%}\n\n    {%- set default_schema = target.schema -%}\n    {%- if target.name == 'prod' and custom_schema_name is not none -%}\n\n        {{ custom_schema_name | trim }}\n\n    {%- else -%}\n\n        {{ default_schema }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.403476, "supported_languages": null}, "macro.dbt.generate_database_name": {"name": "generate_database_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_database.sql", "original_file_path": "macros/get_custom_name/get_custom_database.sql", "unique_id": "macro.dbt.generate_database_name", "macro_sql": "{% macro generate_database_name(custom_database_name=none, node=none) -%}\n    {% do return(adapter.dispatch('generate_database_name', 'dbt')(custom_database_name, node)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_database_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.403889, "supported_languages": null}, "macro.dbt.default__generate_database_name": {"name": "default__generate_database_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_database.sql", "original_file_path": "macros/get_custom_name/get_custom_database.sql", "unique_id": "macro.dbt.default__generate_database_name", "macro_sql": "{% macro default__generate_database_name(custom_database_name=none, node=none) -%}\n    {%- set default_database = target.database -%}\n    {%- if custom_database_name is none -%}\n\n        {{ default_database }}\n\n    {%- else -%}\n\n        {{ custom_database_name }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.404154, "supported_languages": null}, "macro.dbt.default__test_relationships": {"name": "default__test_relationships", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/relationships.sql", "original_file_path": "macros/generic_test_sql/relationships.sql", "unique_id": "macro.dbt.default__test_relationships", "macro_sql": "{% macro default__test_relationships(model, column_name, to, field) %}\n\nwith child as (\n    select {{ column_name }} as from_field\n    from {{ model }}\n    where {{ column_name }} is not null\n),\n\nparent as (\n    select {{ field }} as to_field\n    from {{ to }}\n)\n\nselect\n    from_field\n\nfrom child\nleft join parent\n    on child.from_field = parent.to_field\n\nwhere parent.to_field is null\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4045131, "supported_languages": null}, "macro.dbt.default__test_not_null": {"name": "default__test_not_null", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/not_null.sql", "original_file_path": "macros/generic_test_sql/not_null.sql", "unique_id": "macro.dbt.default__test_not_null", "macro_sql": "{% macro default__test_not_null(model, column_name) %}\n\n{% set column_list = '*' if should_store_failures() else column_name %}\n\nselect {{ column_list }}\nfrom {{ model }}\nwhere {{ column_name }} is null\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_store_failures"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.404821, "supported_languages": null}, "macro.dbt.default__test_unique": {"name": "default__test_unique", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/unique.sql", "original_file_path": "macros/generic_test_sql/unique.sql", "unique_id": "macro.dbt.default__test_unique", "macro_sql": "{% macro default__test_unique(model, column_name) %}\n\nselect\n    {{ column_name }} as unique_field,\n    count(*) as n_records\n\nfrom {{ model }}\nwhere {{ column_name }} is not null\ngroup by {{ column_name }}\nhaving count(*) > 1\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.405081, "supported_languages": null}, "macro.dbt.default__test_accepted_values": {"name": "default__test_accepted_values", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/accepted_values.sql", "original_file_path": "macros/generic_test_sql/accepted_values.sql", "unique_id": "macro.dbt.default__test_accepted_values", "macro_sql": "{% macro default__test_accepted_values(model, column_name, values, quote=True) %}\n\nwith all_values as (\n\n    select\n        {{ column_name }} as value_field,\n        count(*) as n_records\n\n    from {{ model }}\n    group by {{ column_name }}\n\n)\n\nselect *\nfrom all_values\nwhere value_field not in (\n    {% for value in values -%}\n        {% if quote -%}\n        '{{ value }}'\n        {%- else -%}\n        {{ value }}\n        {%- endif -%}\n        {%- if not loop.last -%},{%- endif %}\n    {%- endfor %}\n)\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.405671, "supported_languages": null}, "macro.dbt.statement": {"name": "statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.statement", "macro_sql": "\n{%- macro statement(name=None, fetch_result=False, auto_begin=True, language='sql') -%}\n  {%- if execute: -%}\n    {%- set compiled_code = caller() -%}\n\n    {%- if name == 'main' -%}\n      {{ log('Writing runtime {} for node \"{}\"'.format(language, model['unique_id'])) }}\n      {{ write(compiled_code) }}\n    {%- endif -%}\n    {%- if language == 'sql'-%}\n      {%- set res, table = adapter.execute(compiled_code, auto_begin=auto_begin, fetch=fetch_result) -%}\n    {%- elif language == 'python' -%}\n      {%- set res = submit_python_job(model, compiled_code) -%}\n      {#-- TODO: What should table be for python models? --#}\n      {%- set table = None -%}\n    {%- else -%}\n      {% do exceptions.raise_compiler_error(\"statement macro didn't get supported language\") %}\n    {%- endif -%}\n\n    {%- if name is not none -%}\n      {{ store_result(name, response=res, agate_table=table) }}\n    {%- endif -%}\n\n  {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.407209, "supported_languages": null}, "macro.dbt.noop_statement": {"name": "noop_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.noop_statement", "macro_sql": "{% macro noop_statement(name=None, message=None, code=None, rows_affected=None, res=None) -%}\n  {%- set sql = caller() -%}\n\n  {%- if name == 'main' -%}\n    {{ log('Writing runtime SQL for node \"{}\"'.format(model['unique_id'])) }}\n    {{ write(sql) }}\n  {%- endif -%}\n\n  {%- if name is not none -%}\n    {{ store_raw_result(name, message=message, code=code, rows_affected=rows_affected, agate_table=res) }}\n  {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.407902, "supported_languages": null}, "macro.dbt.run_query": {"name": "run_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.run_query", "macro_sql": "{% macro run_query(sql) %}\n  {% call statement(\"run_query_statement\", fetch_result=true, auto_begin=false) %}\n    {{ sql }}\n  {% endcall %}\n\n  {% do return(load_result(\"run_query_statement\").table) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.408214, "supported_languages": null}, "macro.dbt.convert_datetime": {"name": "convert_datetime", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.convert_datetime", "macro_sql": "{% macro convert_datetime(date_str, date_fmt) %}\n\n  {% set error_msg -%}\n      The provided partition date '{{ date_str }}' does not match the expected format '{{ date_fmt }}'\n  {%- endset %}\n\n  {% set res = try_or_compiler_error(error_msg, modules.datetime.datetime.strptime, date_str.strip(), date_fmt) %}\n  {{ return(res) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.410134, "supported_languages": null}, "macro.dbt.dates_in_range": {"name": "dates_in_range", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.dates_in_range", "macro_sql": "{% macro dates_in_range(start_date_str, end_date_str=none, in_fmt=\"%Y%m%d\", out_fmt=\"%Y%m%d\") %}\n    {% set end_date_str = start_date_str if end_date_str is none else end_date_str %}\n\n    {% set start_date = convert_datetime(start_date_str, in_fmt) %}\n    {% set end_date = convert_datetime(end_date_str, in_fmt) %}\n\n    {% set day_count = (end_date - start_date).days %}\n    {% if day_count < 0 %}\n        {% set msg -%}\n            Partiton start date is after the end date ({{ start_date }}, {{ end_date }})\n        {%- endset %}\n\n        {{ exceptions.raise_compiler_error(msg, model) }}\n    {% endif %}\n\n    {% set date_list = [] %}\n    {% for i in range(0, day_count + 1) %}\n        {% set the_date = (modules.datetime.timedelta(days=i) + start_date) %}\n        {% if not out_fmt %}\n            {% set _ = date_list.append(the_date) %}\n        {% else %}\n            {% set _ = date_list.append(the_date.strftime(out_fmt)) %}\n        {% endif %}\n    {% endfor %}\n\n    {{ return(date_list) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.convert_datetime"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4113941, "supported_languages": null}, "macro.dbt.partition_range": {"name": "partition_range", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.partition_range", "macro_sql": "{% macro partition_range(raw_partition_date, date_fmt='%Y%m%d') %}\n    {% set partition_range = (raw_partition_date | string).split(\",\") %}\n\n    {% if (partition_range | length) == 1 %}\n      {% set start_date = partition_range[0] %}\n      {% set end_date = none %}\n    {% elif (partition_range | length) == 2 %}\n      {% set start_date = partition_range[0] %}\n      {% set end_date = partition_range[1] %}\n    {% else %}\n      {{ exceptions.raise_compiler_error(\"Invalid partition time. Expected format: {Start Date}[,{End Date}]. Got: \" ~ raw_partition_date) }}\n    {% endif %}\n\n    {{ return(dates_in_range(start_date, end_date, in_fmt=date_fmt)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dates_in_range"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4121861, "supported_languages": null}, "macro.dbt.py_current_timestring": {"name": "py_current_timestring", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.py_current_timestring", "macro_sql": "{% macro py_current_timestring() %}\n    {% set dt = modules.datetime.datetime.now() %}\n    {% do return(dt.strftime(\"%Y%m%d%H%M%S%f\")) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.412433, "supported_languages": null}, "macro.dbt.except": {"name": "except", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt.except", "macro_sql": "{% macro except() %}\n  {{ return(adapter.dispatch('except', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.412671, "supported_languages": null}, "macro.dbt.default__except": {"name": "default__except", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt.default__except", "macro_sql": "{% macro default__except() %}\n\n    except\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.412752, "supported_languages": null}, "macro.dbt.replace": {"name": "replace", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/replace.sql", "original_file_path": "macros/utils/replace.sql", "unique_id": "macro.dbt.replace", "macro_sql": "{% macro replace(field, old_chars, new_chars) -%}\n    {{ return(adapter.dispatch('replace', 'dbt') (field, old_chars, new_chars)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__replace"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.413097, "supported_languages": null}, "macro.dbt.default__replace": {"name": "default__replace", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/replace.sql", "original_file_path": "macros/utils/replace.sql", "unique_id": "macro.dbt.default__replace", "macro_sql": "{% macro default__replace(field, old_chars, new_chars) %}\n\n    replace(\n        {{ field }},\n        {{ old_chars }},\n        {{ new_chars }}\n    )\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.41327, "supported_languages": null}, "macro.dbt.concat": {"name": "concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/concat.sql", "original_file_path": "macros/utils/concat.sql", "unique_id": "macro.dbt.concat", "macro_sql": "{% macro concat(fields) -%}\n  {{ return(adapter.dispatch('concat', 'dbt')(fields)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.413525, "supported_languages": null}, "macro.dbt.default__concat": {"name": "default__concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/concat.sql", "original_file_path": "macros/utils/concat.sql", "unique_id": "macro.dbt.default__concat", "macro_sql": "{% macro default__concat(fields) -%}\n    {{ fields|join(' || ') }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.413655, "supported_languages": null}, "macro.dbt.length": {"name": "length", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/length.sql", "original_file_path": "macros/utils/length.sql", "unique_id": "macro.dbt.length", "macro_sql": "{% macro length(expression) -%}\n    {{ return(adapter.dispatch('length', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__length"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4139168, "supported_languages": null}, "macro.dbt.default__length": {"name": "default__length", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/length.sql", "original_file_path": "macros/utils/length.sql", "unique_id": "macro.dbt.default__length", "macro_sql": "{% macro default__length(expression) %}\n\n    length(\n        {{ expression }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.414037, "supported_languages": null}, "macro.dbt.dateadd": {"name": "dateadd", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt.dateadd", "macro_sql": "{% macro dateadd(datepart, interval, from_date_or_timestamp) %}\n  {{ return(adapter.dispatch('dateadd', 'dbt')(datepart, interval, from_date_or_timestamp)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.414401, "supported_languages": null}, "macro.dbt.default__dateadd": {"name": "default__dateadd", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt.default__dateadd", "macro_sql": "{% macro default__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n    dateadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_date_or_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.414572, "supported_languages": null}, "macro.dbt.intersect": {"name": "intersect", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt.intersect", "macro_sql": "{% macro intersect() %}\n  {{ return(adapter.dispatch('intersect', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__intersect"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.414804, "supported_languages": null}, "macro.dbt.default__intersect": {"name": "default__intersect", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt.default__intersect", "macro_sql": "{% macro default__intersect() %}\n\n    intersect\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.414887, "supported_languages": null}, "macro.dbt.escape_single_quotes": {"name": "escape_single_quotes", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt.escape_single_quotes", "macro_sql": "{% macro escape_single_quotes(expression) %}\n      {{ return(adapter.dispatch('escape_single_quotes', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__escape_single_quotes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.415156, "supported_languages": null}, "macro.dbt.default__escape_single_quotes": {"name": "default__escape_single_quotes", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt.default__escape_single_quotes", "macro_sql": "{% macro default__escape_single_quotes(expression) -%}\n{{ expression | replace(\"'\",\"''\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.415307, "supported_languages": null}, "macro.dbt.right": {"name": "right", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt.right", "macro_sql": "{% macro right(string_text, length_expression) -%}\n    {{ return(adapter.dispatch('right', 'dbt') (string_text, length_expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__right"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.41561, "supported_languages": null}, "macro.dbt.default__right": {"name": "default__right", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt.default__right", "macro_sql": "{% macro default__right(string_text, length_expression) %}\n\n    right(\n        {{ string_text }},\n        {{ length_expression }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.415825, "supported_languages": null}, "macro.dbt.listagg": {"name": "listagg", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt.listagg", "macro_sql": "{% macro listagg(measure, delimiter_text=\"','\", order_by_clause=none, limit_num=none) -%}\n    {{ return(adapter.dispatch('listagg', 'dbt') (measure, delimiter_text, order_by_clause, limit_num)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__listagg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.416484, "supported_languages": null}, "macro.dbt.default__listagg": {"name": "default__listagg", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt.default__listagg", "macro_sql": "{% macro default__listagg(measure, delimiter_text, order_by_clause, limit_num) -%}\n\n    {% if limit_num -%}\n    array_to_string(\n        array_slice(\n            array_agg(\n                {{ measure }}\n            ){% if order_by_clause -%}\n            within group ({{ order_by_clause }})\n            {%- endif %}\n            ,0\n            ,{{ limit_num }}\n        ),\n        {{ delimiter_text }}\n        )\n    {%- else %}\n    listagg(\n        {{ measure }},\n        {{ delimiter_text }}\n        )\n        {% if order_by_clause -%}\n        within group ({{ order_by_clause }})\n        {%- endif %}\n    {%- endif %}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4169118, "supported_languages": null}, "macro.dbt.datediff": {"name": "datediff", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt.datediff", "macro_sql": "{% macro datediff(first_date, second_date, datepart) %}\n  {{ return(adapter.dispatch('datediff', 'dbt')(first_date, second_date, datepart)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4172642, "supported_languages": null}, "macro.dbt.default__datediff": {"name": "default__datediff", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt.default__datediff", "macro_sql": "{% macro default__datediff(first_date, second_date, datepart) -%}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.417435, "supported_languages": null}, "macro.dbt.safe_cast": {"name": "safe_cast", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt.safe_cast", "macro_sql": "{% macro safe_cast(field, type) %}\n  {{ return(adapter.dispatch('safe_cast', 'dbt') (field, type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__safe_cast"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4177332, "supported_languages": null}, "macro.dbt.default__safe_cast": {"name": "default__safe_cast", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt.default__safe_cast", "macro_sql": "{% macro default__safe_cast(field, type) %}\n    {# most databases don't support this function yet\n    so we just need to use cast #}\n    cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.417878, "supported_languages": null}, "macro.dbt.hash": {"name": "hash", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt.hash", "macro_sql": "{% macro hash(field) -%}\n  {{ return(adapter.dispatch('hash', 'dbt') (field)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__hash"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.418145, "supported_languages": null}, "macro.dbt.default__hash": {"name": "default__hash", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt.default__hash", "macro_sql": "{% macro default__hash(field) -%}\n    md5(cast({{ field }} as {{ api.Column.translate_type('string') }}))\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.418313, "supported_languages": null}, "macro.dbt.cast_bool_to_text": {"name": "cast_bool_to_text", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/cast_bool_to_text.sql", "original_file_path": "macros/utils/cast_bool_to_text.sql", "unique_id": "macro.dbt.cast_bool_to_text", "macro_sql": "{% macro cast_bool_to_text(field) %}\n  {{ adapter.dispatch('cast_bool_to_text', 'dbt') (field) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.418565, "supported_languages": null}, "macro.dbt.default__cast_bool_to_text": {"name": "default__cast_bool_to_text", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/cast_bool_to_text.sql", "original_file_path": "macros/utils/cast_bool_to_text.sql", "unique_id": "macro.dbt.default__cast_bool_to_text", "macro_sql": "{% macro default__cast_bool_to_text(field) %}\n    cast({{ field }} as {{ api.Column.translate_type('string') }})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.418732, "supported_languages": null}, "macro.dbt.any_value": {"name": "any_value", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "unique_id": "macro.dbt.any_value", "macro_sql": "{% macro any_value(expression) -%}\n    {{ return(adapter.dispatch('any_value', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__any_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.418991, "supported_languages": null}, "macro.dbt.default__any_value": {"name": "default__any_value", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "unique_id": "macro.dbt.default__any_value", "macro_sql": "{% macro default__any_value(expression) -%}\n\n    any_value({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4190989, "supported_languages": null}, "macro.dbt.position": {"name": "position", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt.position", "macro_sql": "{% macro position(substring_text, string_text) -%}\n    {{ return(adapter.dispatch('position', 'dbt') (substring_text, string_text)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__position"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.419397, "supported_languages": null}, "macro.dbt.default__position": {"name": "default__position", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt.default__position", "macro_sql": "{% macro default__position(substring_text, string_text) %}\n\n    position(\n        {{ substring_text }} in {{ string_text }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.419541, "supported_languages": null}, "macro.dbt.string_literal": {"name": "string_literal", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/literal.sql", "original_file_path": "macros/utils/literal.sql", "unique_id": "macro.dbt.string_literal", "macro_sql": "{%- macro string_literal(value) -%}\n  {{ return(adapter.dispatch('string_literal', 'dbt') (value)) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__string_literal"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.419792, "supported_languages": null}, "macro.dbt.default__string_literal": {"name": "default__string_literal", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/literal.sql", "original_file_path": "macros/utils/literal.sql", "unique_id": "macro.dbt.default__string_literal", "macro_sql": "{% macro default__string_literal(value) -%}\n    '{{ value }}'\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.419903, "supported_languages": null}, "macro.dbt.type_string": {"name": "type_string", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_string", "macro_sql": "\n\n{%- macro type_string() -%}\n  {{ return(adapter.dispatch('type_string', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.420841, "supported_languages": null}, "macro.dbt.default__type_string": {"name": "default__type_string", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_string", "macro_sql": "{% macro default__type_string() %}\n    {{ return(api.Column.translate_type(\"string\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.421001, "supported_languages": null}, "macro.dbt.type_timestamp": {"name": "type_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_timestamp", "macro_sql": "\n\n{%- macro type_timestamp() -%}\n  {{ return(adapter.dispatch('type_timestamp', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4212391, "supported_languages": null}, "macro.dbt.default__type_timestamp": {"name": "default__type_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_timestamp", "macro_sql": "{% macro default__type_timestamp() %}\n    {{ return(api.Column.translate_type(\"timestamp\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.421403, "supported_languages": null}, "macro.dbt.type_float": {"name": "type_float", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_float", "macro_sql": "\n\n{%- macro type_float() -%}\n  {{ return(adapter.dispatch('type_float', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_float"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.421576, "supported_languages": null}, "macro.dbt.default__type_float": {"name": "default__type_float", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_float", "macro_sql": "{% macro default__type_float() %}\n    {{ return(api.Column.translate_type(\"float\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.421739, "supported_languages": null}, "macro.dbt.type_numeric": {"name": "type_numeric", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_numeric", "macro_sql": "\n\n{%- macro type_numeric() -%}\n  {{ return(adapter.dispatch('type_numeric', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.421908, "supported_languages": null}, "macro.dbt.default__type_numeric": {"name": "default__type_numeric", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_numeric", "macro_sql": "{% macro default__type_numeric() %}\n    {{ return(api.Column.numeric_type(\"numeric\", 28, 6)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.422095, "supported_languages": null}, "macro.dbt.type_bigint": {"name": "type_bigint", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_bigint", "macro_sql": "\n\n{%- macro type_bigint() -%}\n  {{ return(adapter.dispatch('type_bigint', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_bigint"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.42227, "supported_languages": null}, "macro.dbt.default__type_bigint": {"name": "default__type_bigint", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_bigint", "macro_sql": "{% macro default__type_bigint() %}\n    {{ return(api.Column.translate_type(\"bigint\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.42243, "supported_languages": null}, "macro.dbt.type_int": {"name": "type_int", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_int", "macro_sql": "\n\n{%- macro type_int() -%}\n  {{ return(adapter.dispatch('type_int', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.422602, "supported_languages": null}, "macro.dbt.default__type_int": {"name": "default__type_int", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_int", "macro_sql": "{%- macro default__type_int() -%}\n  {{ return(api.Column.translate_type(\"integer\")) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.422755, "supported_languages": null}, "macro.dbt.type_boolean": {"name": "type_boolean", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_boolean", "macro_sql": "\n\n{%- macro type_boolean() -%}\n  {{ return(adapter.dispatch('type_boolean', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_boolean"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.422922, "supported_languages": null}, "macro.dbt.default__type_boolean": {"name": "default__type_boolean", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_boolean", "macro_sql": "{%- macro default__type_boolean() -%}\n  {{ return(api.Column.translate_type(\"boolean\")) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4230762, "supported_languages": null}, "macro.dbt.array_concat": {"name": "array_concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt.array_concat", "macro_sql": "{% macro array_concat(array_1, array_2) -%}\n  {{ return(adapter.dispatch('array_concat', 'dbt')(array_1, array_2)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__array_concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4233642, "supported_languages": null}, "macro.dbt.default__array_concat": {"name": "default__array_concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt.default__array_concat", "macro_sql": "{% macro default__array_concat(array_1, array_2) -%}\n    array_cat({{ array_1 }}, {{ array_2 }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4235048, "supported_languages": null}, "macro.dbt.bool_or": {"name": "bool_or", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt.bool_or", "macro_sql": "{% macro bool_or(expression) -%}\n    {{ return(adapter.dispatch('bool_or', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__bool_or"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4237618, "supported_languages": null}, "macro.dbt.default__bool_or": {"name": "default__bool_or", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt.default__bool_or", "macro_sql": "{% macro default__bool_or(expression) -%}\n\n    bool_or({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.423872, "supported_languages": null}, "macro.dbt.last_day": {"name": "last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.last_day", "macro_sql": "{% macro last_day(date, datepart) %}\n  {{ return(adapter.dispatch('last_day', 'dbt') (date, datepart)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.424222, "supported_languages": null}, "macro.dbt.default_last_day": {"name": "default_last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.default_last_day", "macro_sql": "\n\n{%- macro default_last_day(date, datepart) -%}\n    cast(\n        {{dbt.dateadd('day', '-1',\n        dbt.dateadd(datepart, '1', dbt.date_trunc(datepart, date))\n        )}}\n        as date)\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.424504, "supported_languages": null}, "macro.dbt.default__last_day": {"name": "default__last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.default__last_day", "macro_sql": "{% macro default__last_day(date, datepart) -%}\n    {{dbt.default_last_day(date, datepart)}}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default_last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.42466, "supported_languages": null}, "macro.dbt.split_part": {"name": "split_part", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt.split_part", "macro_sql": "{% macro split_part(string_text, delimiter_text, part_number) %}\n  {{ return(adapter.dispatch('split_part', 'dbt') (string_text, delimiter_text, part_number)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__split_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4251971, "supported_languages": null}, "macro.dbt.default__split_part": {"name": "default__split_part", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt.default__split_part", "macro_sql": "{% macro default__split_part(string_text, delimiter_text, part_number) %}\n\n    split_part(\n        {{ string_text }},\n        {{ delimiter_text }},\n        {{ part_number }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.425372, "supported_languages": null}, "macro.dbt._split_part_negative": {"name": "_split_part_negative", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt._split_part_negative", "macro_sql": "{% macro _split_part_negative(string_text, delimiter_text, part_number) %}\n\n    split_part(\n        {{ string_text }},\n        {{ delimiter_text }},\n          length({{ string_text }})\n          - length(\n              replace({{ string_text }},  {{ delimiter_text }}, '')\n          ) + 2 {{ part_number }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.425663, "supported_languages": null}, "macro.dbt.date_trunc": {"name": "date_trunc", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt.date_trunc", "macro_sql": "{% macro date_trunc(datepart, date) -%}\n  {{ return(adapter.dispatch('date_trunc', 'dbt') (datepart, date)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.425948, "supported_languages": null}, "macro.dbt.default__date_trunc": {"name": "default__date_trunc", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt.default__date_trunc", "macro_sql": "{% macro default__date_trunc(datepart, date) -%}\n    date_trunc('{{datepart}}', {{date}})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4260852, "supported_languages": null}, "macro.dbt.array_construct": {"name": "array_construct", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt.array_construct", "macro_sql": "{% macro array_construct(inputs=[], data_type=api.Column.translate_type('integer')) -%}\n  {{ return(adapter.dispatch('array_construct', 'dbt')(inputs, data_type)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__array_construct"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.426473, "supported_languages": null}, "macro.dbt.default__array_construct": {"name": "default__array_construct", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt.default__array_construct", "macro_sql": "{% macro default__array_construct(inputs, data_type) -%}\n    {% if inputs|length > 0 %}\n    array[ {{ inputs|join(' , ') }} ]\n    {% else %}\n    array[]::{{data_type}}[]\n    {% endif %}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.42673, "supported_languages": null}, "macro.dbt.array_append": {"name": "array_append", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt.array_append", "macro_sql": "{% macro array_append(array, new_element) -%}\n  {{ return(adapter.dispatch('array_append', 'dbt')(array, new_element)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__array_append"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.42702, "supported_languages": null}, "macro.dbt.default__array_append": {"name": "default__array_append", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt.default__array_append", "macro_sql": "{% macro default__array_append(array, new_element) -%}\n    array_append({{ array }}, {{ new_element }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.427158, "supported_languages": null}, "macro.dbt.create_schema": {"name": "create_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.create_schema", "macro_sql": "{% macro create_schema(relation) -%}\n  {{ adapter.dispatch('create_schema', 'dbt')(relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__create_schema"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4275389, "supported_languages": null}, "macro.dbt.default__create_schema": {"name": "default__create_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.default__create_schema", "macro_sql": "{% macro default__create_schema(relation) -%}\n  {%- call statement('create_schema') -%}\n    create schema if not exists {{ relation.without_identifier() }}\n  {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.427731, "supported_languages": null}, "macro.dbt.drop_schema": {"name": "drop_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.drop_schema", "macro_sql": "{% macro drop_schema(relation) -%}\n  {{ adapter.dispatch('drop_schema', 'dbt')(relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__drop_schema"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.427903, "supported_languages": null}, "macro.dbt.default__drop_schema": {"name": "default__drop_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.default__drop_schema", "macro_sql": "{% macro default__drop_schema(relation) -%}\n  {%- call statement('drop_schema') -%}\n    drop schema if exists {{ relation.without_identifier() }} cascade\n  {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.428092, "supported_languages": null}, "macro.dbt.current_timestamp": {"name": "current_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp", "macro_sql": "{%- macro current_timestamp() -%}\n    {{ adapter.dispatch('current_timestamp', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.428582, "supported_languages": null}, "macro.dbt.default__current_timestamp": {"name": "default__current_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp", "macro_sql": "{% macro default__current_timestamp() -%}\n  {{ exceptions.raise_not_implemented(\n    'current_timestamp macro not implemented for adapter ' + adapter.type()) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.428742, "supported_languages": null}, "macro.dbt.snapshot_get_time": {"name": "snapshot_get_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.snapshot_get_time", "macro_sql": "\n\n{%- macro snapshot_get_time() -%}\n    {{ adapter.dispatch('snapshot_get_time', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__snapshot_get_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4288929, "supported_languages": null}, "macro.dbt.default__snapshot_get_time": {"name": "default__snapshot_get_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__snapshot_get_time", "macro_sql": "{% macro default__snapshot_get_time() %}\n    {{ current_timestamp() }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.429, "supported_languages": null}, "macro.dbt.current_timestamp_backcompat": {"name": "current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp_backcompat", "macro_sql": "{% macro current_timestamp_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__current_timestamp_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.429178, "supported_languages": null}, "macro.dbt.default__current_timestamp_backcompat": {"name": "default__current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp_backcompat", "macro_sql": "{% macro default__current_timestamp_backcompat() %}\n    current_timestamp::timestamp\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4292579, "supported_languages": null}, "macro.dbt.current_timestamp_in_utc_backcompat": {"name": "current_timestamp_in_utc_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp_in_utc_backcompat", "macro_sql": "{% macro current_timestamp_in_utc_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_in_utc_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__current_timestamp_in_utc_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.429429, "supported_languages": null}, "macro.dbt.default__current_timestamp_in_utc_backcompat": {"name": "default__current_timestamp_in_utc_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp_in_utc_backcompat", "macro_sql": "{% macro default__current_timestamp_in_utc_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.current_timestamp_backcompat", "macro.dbt_bigquery.bigquery__current_timestamp_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.429601, "supported_languages": null}, "macro.dbt.get_create_index_sql": {"name": "get_create_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.get_create_index_sql", "macro_sql": "{% macro get_create_index_sql(relation, index_dict) -%}\n  {{ return(adapter.dispatch('get_create_index_sql', 'dbt')(relation, index_dict)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_index_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4300742, "supported_languages": null}, "macro.dbt.default__get_create_index_sql": {"name": "default__get_create_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__get_create_index_sql", "macro_sql": "{% macro default__get_create_index_sql(relation, index_dict) -%}\n  {% do return(None) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.430277, "supported_languages": null}, "macro.dbt.create_indexes": {"name": "create_indexes", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.create_indexes", "macro_sql": "{% macro create_indexes(relation) -%}\n  {{ adapter.dispatch('create_indexes', 'dbt')(relation) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.430445, "supported_languages": null}, "macro.dbt.default__create_indexes": {"name": "default__create_indexes", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__create_indexes", "macro_sql": "{% macro default__create_indexes(relation) -%}\n  {%- set _indexes = config.get('indexes', default=[]) -%}\n\n  {% for _index_dict in _indexes %}\n    {% set create_index_sql = get_create_index_sql(relation, _index_dict) %}\n    {% if create_index_sql %}\n      {% do run_query(create_index_sql) %}\n    {% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_create_index_sql", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4308639, "supported_languages": null}, "macro.dbt.make_intermediate_relation": {"name": "make_intermediate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_intermediate_relation", "macro_sql": "{% macro make_intermediate_relation(base_relation, suffix='__dbt_tmp') %}\n  {{ return(adapter.dispatch('make_intermediate_relation', 'dbt')(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_intermediate_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4342651, "supported_languages": null}, "macro.dbt.default__make_intermediate_relation": {"name": "default__make_intermediate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_intermediate_relation", "macro_sql": "{% macro default__make_intermediate_relation(base_relation, suffix) %}\n    {{ return(default__make_temp_relation(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_temp_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.43444, "supported_languages": null}, "macro.dbt.make_temp_relation": {"name": "make_temp_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_temp_relation", "macro_sql": "{% macro make_temp_relation(base_relation, suffix='__dbt_tmp') %}\n  {{ return(adapter.dispatch('make_temp_relation', 'dbt')(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_temp_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.434676, "supported_languages": null}, "macro.dbt.default__make_temp_relation": {"name": "default__make_temp_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_temp_relation", "macro_sql": "{% macro default__make_temp_relation(base_relation, suffix) %}\n    {%- set temp_identifier = base_relation.identifier ~ suffix -%}\n    {%- set temp_relation = base_relation.incorporate(\n                                path={\"identifier\": temp_identifier}) -%}\n\n    {{ return(temp_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4349818, "supported_languages": null}, "macro.dbt.make_backup_relation": {"name": "make_backup_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_backup_relation", "macro_sql": "{% macro make_backup_relation(base_relation, backup_relation_type, suffix='__dbt_backup') %}\n    {{ return(adapter.dispatch('make_backup_relation', 'dbt')(base_relation, backup_relation_type, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_backup_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.435241, "supported_languages": null}, "macro.dbt.default__make_backup_relation": {"name": "default__make_backup_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_backup_relation", "macro_sql": "{% macro default__make_backup_relation(base_relation, backup_relation_type, suffix) %}\n    {%- set backup_identifier = base_relation.identifier ~ suffix -%}\n    {%- set backup_relation = base_relation.incorporate(\n                                  path={\"identifier\": backup_identifier},\n                                  type=backup_relation_type\n    ) -%}\n    {{ return(backup_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.435582, "supported_languages": null}, "macro.dbt.drop_relation": {"name": "drop_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.drop_relation", "macro_sql": "{% macro drop_relation(relation) -%}\n  {{ return(adapter.dispatch('drop_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__drop_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.435775, "supported_languages": null}, "macro.dbt.default__drop_relation": {"name": "default__drop_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__drop_relation", "macro_sql": "{% macro default__drop_relation(relation) -%}\n  {% call statement('drop_relation', auto_begin=False) -%}\n    drop {{ relation.type }} if exists {{ relation }} cascade\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.436, "supported_languages": null}, "macro.dbt.truncate_relation": {"name": "truncate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.truncate_relation", "macro_sql": "{% macro truncate_relation(relation) -%}\n  {{ return(adapter.dispatch('truncate_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__truncate_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.436188, "supported_languages": null}, "macro.dbt.default__truncate_relation": {"name": "default__truncate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__truncate_relation", "macro_sql": "{% macro default__truncate_relation(relation) -%}\n  {% call statement('truncate_relation') -%}\n    truncate table {{ relation }}\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.436359, "supported_languages": null}, "macro.dbt.rename_relation": {"name": "rename_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.rename_relation", "macro_sql": "{% macro rename_relation(from_relation, to_relation) -%}\n  {{ return(adapter.dispatch('rename_relation', 'dbt')(from_relation, to_relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__rename_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.436571, "supported_languages": null}, "macro.dbt.default__rename_relation": {"name": "default__rename_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__rename_relation", "macro_sql": "{% macro default__rename_relation(from_relation, to_relation) -%}\n  {% set target_name = adapter.quote_as_configured(to_relation.identifier, 'identifier') %}\n  {% call statement('rename_relation') -%}\n    alter table {{ from_relation }} rename to {{ target_name }}\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.436862, "supported_languages": null}, "macro.dbt.get_or_create_relation": {"name": "get_or_create_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.get_or_create_relation", "macro_sql": "{% macro get_or_create_relation(database, schema, identifier, type) -%}\n  {{ return(adapter.dispatch('get_or_create_relation', 'dbt')(database, schema, identifier, type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_or_create_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.437121, "supported_languages": null}, "macro.dbt.default__get_or_create_relation": {"name": "default__get_or_create_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__get_or_create_relation", "macro_sql": "{% macro default__get_or_create_relation(database, schema, identifier, type) %}\n  {%- set target_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) %}\n\n  {% if target_relation %}\n    {% do return([true, target_relation]) %}\n  {% endif %}\n\n  {%- set new_relation = api.Relation.create(\n      database=database,\n      schema=schema,\n      identifier=identifier,\n      type=type\n  ) -%}\n  {% do return([false, new_relation]) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.437706, "supported_languages": null}, "macro.dbt.load_cached_relation": {"name": "load_cached_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.load_cached_relation", "macro_sql": "{% macro load_cached_relation(relation) %}\n  {% do return(adapter.get_relation(\n    database=relation.database,\n    schema=relation.schema,\n    identifier=relation.identifier\n  )) -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.438009, "supported_languages": null}, "macro.dbt.load_relation": {"name": "load_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.load_relation", "macro_sql": "{% macro load_relation(relation) %}\n    {{ return(load_cached_relation(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.438157, "supported_languages": null}, "macro.dbt.drop_relation_if_exists": {"name": "drop_relation_if_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.drop_relation_if_exists", "macro_sql": "{% macro drop_relation_if_exists(relation) %}\n  {% if relation is not none %}\n    {{ adapter.drop_relation(relation) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4383638, "supported_languages": null}, "macro.dbt.collect_freshness": {"name": "collect_freshness", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "unique_id": "macro.dbt.collect_freshness", "macro_sql": "{% macro collect_freshness(source, loaded_at_field, filter) %}\n  {{ return(adapter.dispatch('collect_freshness', 'dbt')(source, loaded_at_field, filter))}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__collect_freshness"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4387999, "supported_languages": null}, "macro.dbt.default__collect_freshness": {"name": "default__collect_freshness", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "unique_id": "macro.dbt.default__collect_freshness", "macro_sql": "{% macro default__collect_freshness(source, loaded_at_field, filter) %}\n  {% call statement('collect_freshness', fetch_result=True, auto_begin=False) -%}\n    select\n      max({{ loaded_at_field }}) as max_loaded_at,\n      {{ current_timestamp() }} as snapshotted_at\n    from {{ source }}\n    {% if filter %}\n    where {{ filter }}\n    {% endif %}\n  {% endcall %}\n  {{ return(load_result('collect_freshness')) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.43923, "supported_languages": null}, "macro.dbt.copy_grants": {"name": "copy_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.copy_grants", "macro_sql": "{% macro copy_grants() %}\n    {{ return(adapter.dispatch('copy_grants', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__copy_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4409852, "supported_languages": null}, "macro.dbt.default__copy_grants": {"name": "default__copy_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__copy_grants", "macro_sql": "{% macro default__copy_grants() %}\n    {{ return(True) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.441111, "supported_languages": null}, "macro.dbt.support_multiple_grantees_per_dcl_statement": {"name": "support_multiple_grantees_per_dcl_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.support_multiple_grantees_per_dcl_statement", "macro_sql": "{% macro support_multiple_grantees_per_dcl_statement() %}\n    {{ return(adapter.dispatch('support_multiple_grantees_per_dcl_statement', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__support_multiple_grantees_per_dcl_statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.44129, "supported_languages": null}, "macro.dbt.default__support_multiple_grantees_per_dcl_statement": {"name": "default__support_multiple_grantees_per_dcl_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__support_multiple_grantees_per_dcl_statement", "macro_sql": "\n\n{%- macro default__support_multiple_grantees_per_dcl_statement() -%}\n    {{ return(True) }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.441408, "supported_languages": null}, "macro.dbt.should_revoke": {"name": "should_revoke", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.should_revoke", "macro_sql": "{% macro should_revoke(existing_relation, full_refresh_mode=True) %}\n\n    {% if not existing_relation %}\n        {#-- The table doesn't already exist, so no grants to copy over --#}\n        {{ return(False) }}\n    {% elif full_refresh_mode %}\n        {#-- The object is being REPLACED -- whether grants are copied over depends on the value of user config --#}\n        {{ return(copy_grants()) }}\n    {% else %}\n        {#-- The table is being merged/upserted/inserted -- grants will be carried over --#}\n        {{ return(True) }}\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.copy_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4417632, "supported_languages": null}, "macro.dbt.get_show_grant_sql": {"name": "get_show_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_show_grant_sql", "macro_sql": "{% macro get_show_grant_sql(relation) %}\n    {{ return(adapter.dispatch(\"get_show_grant_sql\", \"dbt\")(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_show_grant_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.441958, "supported_languages": null}, "macro.dbt.default__get_show_grant_sql": {"name": "default__get_show_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_show_grant_sql", "macro_sql": "{% macro default__get_show_grant_sql(relation) %}\n    show grants on {{ relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4420638, "supported_languages": null}, "macro.dbt.get_grant_sql": {"name": "get_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_grant_sql", "macro_sql": "{% macro get_grant_sql(relation, privilege, grantees) %}\n    {{ return(adapter.dispatch('get_grant_sql', 'dbt')(relation, privilege, grantees)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_grant_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.442304, "supported_languages": null}, "macro.dbt.default__get_grant_sql": {"name": "default__get_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_grant_sql", "macro_sql": "\n\n{%- macro default__get_grant_sql(relation, privilege, grantees) -%}\n    grant {{ privilege }} on {{ relation }} to {{ grantees | join(', ') }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.442503, "supported_languages": null}, "macro.dbt.get_revoke_sql": {"name": "get_revoke_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_revoke_sql", "macro_sql": "{% macro get_revoke_sql(relation, privilege, grantees) %}\n    {{ return(adapter.dispatch('get_revoke_sql', 'dbt')(relation, privilege, grantees)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_revoke_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.442743, "supported_languages": null}, "macro.dbt.default__get_revoke_sql": {"name": "default__get_revoke_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_revoke_sql", "macro_sql": "\n\n{%- macro default__get_revoke_sql(relation, privilege, grantees) -%}\n    revoke {{ privilege }} on {{ relation }} from {{ grantees | join(', ') }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.442938, "supported_languages": null}, "macro.dbt.get_dcl_statement_list": {"name": "get_dcl_statement_list", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_dcl_statement_list", "macro_sql": "{% macro get_dcl_statement_list(relation, grant_config, get_dcl_macro) %}\n    {{ return(adapter.dispatch('get_dcl_statement_list', 'dbt')(relation, grant_config, get_dcl_macro)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_dcl_statement_list"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.443174, "supported_languages": null}, "macro.dbt.default__get_dcl_statement_list": {"name": "default__get_dcl_statement_list", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_dcl_statement_list", "macro_sql": "\n\n{%- macro default__get_dcl_statement_list(relation, grant_config, get_dcl_macro) -%}\n    {#\n      -- Unpack grant_config into specific privileges and the set of users who need them granted/revoked.\n      -- Depending on whether this database supports multiple grantees per statement, pass in the list of\n      -- all grantees per privilege, or (if not) template one statement per privilege-grantee pair.\n      -- `get_dcl_macro` will be either `get_grant_sql` or `get_revoke_sql`\n    #}\n    {%- set dcl_statements = [] -%}\n    {%- for privilege, grantees in grant_config.items() %}\n        {%- if support_multiple_grantees_per_dcl_statement() and grantees -%}\n          {%- set dcl = get_dcl_macro(relation, privilege, grantees) -%}\n          {%- do dcl_statements.append(dcl) -%}\n        {%- else -%}\n          {%- for grantee in grantees -%}\n              {% set dcl = get_dcl_macro(relation, privilege, [grantee]) %}\n              {%- do dcl_statements.append(dcl) -%}\n          {% endfor -%}\n        {%- endif -%}\n    {%- endfor -%}\n    {{ return(dcl_statements) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.support_multiple_grantees_per_dcl_statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.443956, "supported_languages": null}, "macro.dbt.call_dcl_statements": {"name": "call_dcl_statements", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.call_dcl_statements", "macro_sql": "{% macro call_dcl_statements(dcl_statement_list) %}\n    {{ return(adapter.dispatch(\"call_dcl_statements\", \"dbt\")(dcl_statement_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__call_dcl_statements"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.444154, "supported_languages": null}, "macro.dbt.default__call_dcl_statements": {"name": "default__call_dcl_statements", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__call_dcl_statements", "macro_sql": "{% macro default__call_dcl_statements(dcl_statement_list) %}\n    {#\n      -- By default, supply all grant + revoke statements in a single semicolon-separated block,\n      -- so that they're all processed together.\n\n      -- Some databases do not support this. Those adapters will need to override this macro\n      -- to run each statement individually.\n    #}\n    {% call statement('grants') %}\n        {% for dcl_statement in dcl_statement_list %}\n            {{ dcl_statement }};\n        {% endfor %}\n    {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4444108, "supported_languages": null}, "macro.dbt.apply_grants": {"name": "apply_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.apply_grants", "macro_sql": "{% macro apply_grants(relation, grant_config, should_revoke) %}\n    {{ return(adapter.dispatch(\"apply_grants\", \"dbt\")(relation, grant_config, should_revoke)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4446561, "supported_languages": null}, "macro.dbt.default__apply_grants": {"name": "default__apply_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__apply_grants", "macro_sql": "{% macro default__apply_grants(relation, grant_config, should_revoke=True) %}\n    {#-- If grant_config is {} or None, this is a no-op --#}\n    {% if grant_config %}\n        {% if should_revoke %}\n            {#-- We think previous grants may have carried over --#}\n            {#-- Show current grants and calculate diffs --#}\n            {% set current_grants_table = run_query(get_show_grant_sql(relation)) %}\n            {% set current_grants_dict = adapter.standardize_grants_dict(current_grants_table) %}\n            {% set needs_granting = diff_of_two_dicts(grant_config, current_grants_dict) %}\n            {% set needs_revoking = diff_of_two_dicts(current_grants_dict, grant_config) %}\n            {% if not (needs_granting or needs_revoking) %}\n                {{ log('On ' ~ relation ~': All grants are in place, no revocation or granting needed.')}}\n            {% endif %}\n        {% else %}\n            {#-- We don't think there's any chance of previous grants having carried over. --#}\n            {#-- Jump straight to granting what the user has configured. --#}\n            {% set needs_revoking = {} %}\n            {% set needs_granting = grant_config %}\n        {% endif %}\n        {% if needs_granting or needs_revoking %}\n            {% set revoke_statement_list = get_dcl_statement_list(relation, needs_revoking, get_revoke_sql) %}\n            {% set grant_statement_list = get_dcl_statement_list(relation, needs_granting, get_grant_sql) %}\n            {% set dcl_statement_list = revoke_statement_list + grant_statement_list %}\n            {% if dcl_statement_list %}\n                {{ call_dcl_statements(dcl_statement_list) }}\n            {% endif %}\n        {% endif %}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt.get_show_grant_sql", "macro.dbt.get_dcl_statement_list", "macro.dbt.call_dcl_statements"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4458492, "supported_languages": null}, "macro.dbt.alter_column_comment": {"name": "alter_column_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.alter_column_comment", "macro_sql": "{% macro alter_column_comment(relation, column_dict) -%}\n  {{ return(adapter.dispatch('alter_column_comment', 'dbt')(relation, column_dict)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4465542, "supported_languages": null}, "macro.dbt.default__alter_column_comment": {"name": "default__alter_column_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__alter_column_comment", "macro_sql": "{% macro default__alter_column_comment(relation, column_dict) -%}\n  {{ exceptions.raise_not_implemented(\n    'alter_column_comment macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4467351, "supported_languages": null}, "macro.dbt.alter_relation_comment": {"name": "alter_relation_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.alter_relation_comment", "macro_sql": "{% macro alter_relation_comment(relation, relation_comment) -%}\n  {{ return(adapter.dispatch('alter_relation_comment', 'dbt')(relation, relation_comment)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__alter_relation_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.446949, "supported_languages": null}, "macro.dbt.default__alter_relation_comment": {"name": "default__alter_relation_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__alter_relation_comment", "macro_sql": "{% macro default__alter_relation_comment(relation, relation_comment) -%}\n  {{ exceptions.raise_not_implemented(\n    'alter_relation_comment macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.447125, "supported_languages": null}, "macro.dbt.persist_docs": {"name": "persist_docs", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.persist_docs", "macro_sql": "{% macro persist_docs(relation, model, for_relation=true, for_columns=true) -%}\n  {{ return(adapter.dispatch('persist_docs', 'dbt')(relation, model, for_relation, for_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.447406, "supported_languages": null}, "macro.dbt.default__persist_docs": {"name": "default__persist_docs", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__persist_docs", "macro_sql": "{% macro default__persist_docs(relation, model, for_relation, for_columns) -%}\n  {% if for_relation and config.persist_relation_docs() and model.description %}\n    {% do run_query(alter_relation_comment(relation, model.description)) %}\n  {% endif %}\n\n  {% if for_columns and config.persist_column_docs() and model.columns %}\n    {% do run_query(alter_column_comment(relation, model.columns)) %}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt.alter_relation_comment", "macro.dbt.alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.447914, "supported_languages": null}, "macro.dbt.get_catalog": {"name": "get_catalog", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.get_catalog", "macro_sql": "{% macro get_catalog(information_schema, schemas) -%}\n  {{ return(adapter.dispatch('get_catalog', 'dbt')(information_schema, schemas)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_catalog"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.449443, "supported_languages": null}, "macro.dbt.default__get_catalog": {"name": "default__get_catalog", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__get_catalog", "macro_sql": "{% macro default__get_catalog(information_schema, schemas) -%}\n\n  {% set typename = adapter.type() %}\n  {% set msg -%}\n    get_catalog not implemented for {{ typename }}\n  {%- endset %}\n\n  {{ exceptions.raise_compiler_error(msg) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.449713, "supported_languages": null}, "macro.dbt.information_schema_name": {"name": "information_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.information_schema_name", "macro_sql": "{% macro information_schema_name(database) %}\n  {{ return(adapter.dispatch('information_schema_name', 'dbt')(database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__information_schema_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.44991, "supported_languages": null}, "macro.dbt.default__information_schema_name": {"name": "default__information_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__information_schema_name", "macro_sql": "{% macro default__information_schema_name(database) -%}\n  {%- if database -%}\n    {{ database }}.INFORMATION_SCHEMA\n  {%- else -%}\n    INFORMATION_SCHEMA\n  {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.450073, "supported_languages": null}, "macro.dbt.list_schemas": {"name": "list_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.list_schemas", "macro_sql": "{% macro list_schemas(database) -%}\n  {{ return(adapter.dispatch('list_schemas', 'dbt')(database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__list_schemas"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.450262, "supported_languages": null}, "macro.dbt.default__list_schemas": {"name": "default__list_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__list_schemas", "macro_sql": "{% macro default__list_schemas(database) -%}\n  {% set sql %}\n    select distinct schema_name\n    from {{ information_schema_name(database) }}.SCHEMATA\n    where catalog_name ilike '{{ database }}'\n  {% endset %}\n  {{ return(run_query(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.information_schema_name", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.45052, "supported_languages": null}, "macro.dbt.check_schema_exists": {"name": "check_schema_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.check_schema_exists", "macro_sql": "{% macro check_schema_exists(information_schema, schema) -%}\n  {{ return(adapter.dispatch('check_schema_exists', 'dbt')(information_schema, schema)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__check_schema_exists"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.450732, "supported_languages": null}, "macro.dbt.default__check_schema_exists": {"name": "default__check_schema_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__check_schema_exists", "macro_sql": "{% macro default__check_schema_exists(information_schema, schema) -%}\n  {% set sql -%}\n        select count(*)\n        from {{ information_schema.replace(information_schema_view='SCHEMATA') }}\n        where catalog_name='{{ information_schema.database }}'\n          and schema_name='{{ schema }}'\n  {%- endset %}\n  {{ return(run_query(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.451044, "supported_languages": null}, "macro.dbt.list_relations_without_caching": {"name": "list_relations_without_caching", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.list_relations_without_caching", "macro_sql": "{% macro list_relations_without_caching(schema_relation) %}\n  {{ return(adapter.dispatch('list_relations_without_caching', 'dbt')(schema_relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__list_relations_without_caching"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.451244, "supported_languages": null}, "macro.dbt.default__list_relations_without_caching": {"name": "default__list_relations_without_caching", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__list_relations_without_caching", "macro_sql": "{% macro default__list_relations_without_caching(schema_relation) %}\n  {{ exceptions.raise_not_implemented(\n    'list_relations_without_caching macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4514189, "supported_languages": null}, "macro.dbt.get_columns_in_relation": {"name": "get_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_columns_in_relation", "macro_sql": "{% macro get_columns_in_relation(relation) -%}\n  {{ return(adapter.dispatch('get_columns_in_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.453711, "supported_languages": null}, "macro.dbt.default__get_columns_in_relation": {"name": "default__get_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_columns_in_relation", "macro_sql": "{% macro default__get_columns_in_relation(relation) -%}\n  {{ exceptions.raise_not_implemented(\n    'get_columns_in_relation macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4540548, "supported_languages": null}, "macro.dbt.sql_convert_columns_in_relation": {"name": "sql_convert_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.sql_convert_columns_in_relation", "macro_sql": "{% macro sql_convert_columns_in_relation(table) -%}\n  {% set columns = [] %}\n  {% for row in table %}\n    {% do columns.append(api.Column(*row)) %}\n  {% endfor %}\n  {{ return(columns) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.454384, "supported_languages": null}, "macro.dbt.get_empty_subquery_sql": {"name": "get_empty_subquery_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_empty_subquery_sql", "macro_sql": "{% macro get_empty_subquery_sql(select_sql, select_sql_header=none) -%}\n  {{ return(adapter.dispatch('get_empty_subquery_sql', 'dbt')(select_sql, select_sql_header)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.454624, "supported_languages": null}, "macro.dbt.default__get_empty_subquery_sql": {"name": "default__get_empty_subquery_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_empty_subquery_sql", "macro_sql": "{% macro default__get_empty_subquery_sql(select_sql, select_sql_header=none) %}\n    {%- if select_sql_header is not none -%}\n    {{ select_sql_header }}\n    {%- endif -%}\n    select * from (\n        {{ select_sql }}\n    ) as __dbt_sbq\n    where false\n    limit 0\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.454835, "supported_languages": null}, "macro.dbt.get_empty_schema_sql": {"name": "get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_empty_schema_sql", "macro_sql": "{% macro get_empty_schema_sql(columns) -%}\n  {{ return(adapter.dispatch('get_empty_schema_sql', 'dbt')(columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_empty_schema_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4550242, "supported_languages": null}, "macro.dbt.default__get_empty_schema_sql": {"name": "default__get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_empty_schema_sql", "macro_sql": "{% macro default__get_empty_schema_sql(columns) %}\n    {%- set col_err = [] -%}\n    select\n    {% for i in columns %}\n      {%- set col = columns[i] -%}\n      {%- if col['data_type'] is not defined -%}\n        {{ col_err.append(col['name']) }}\n      {%- endif -%}\n      {% set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] %}\n      cast(null as {{ col['data_type'] }}) as {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n    {%- if (col_err | length) > 0 -%}\n      {{ exceptions.column_type_missing(column_names=col_err) }}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.455814, "supported_languages": null}, "macro.dbt.get_column_schema_from_query": {"name": "get_column_schema_from_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_column_schema_from_query", "macro_sql": "{% macro get_column_schema_from_query(select_sql, select_sql_header=none) -%}\n    {% set columns = [] %}\n    {# -- Using an 'empty subquery' here to get the same schema as the given select_sql statement, without necessitating a data scan.#}\n    {% set sql = get_empty_subquery_sql(select_sql, select_sql_header) %}\n    {% set column_schema = adapter.get_column_schema_from_query(sql) %}\n    {{ return(column_schema) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.456173, "supported_languages": null}, "macro.dbt.get_columns_in_query": {"name": "get_columns_in_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_columns_in_query", "macro_sql": "{% macro get_columns_in_query(select_sql) -%}\n  {{ return(adapter.dispatch('get_columns_in_query', 'dbt')(select_sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_columns_in_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4563682, "supported_languages": null}, "macro.dbt.default__get_columns_in_query": {"name": "default__get_columns_in_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_columns_in_query", "macro_sql": "{% macro default__get_columns_in_query(select_sql) %}\n    {% call statement('get_columns_in_query', fetch_result=True, auto_begin=False) -%}\n        {{ get_empty_subquery_sql(select_sql) }}\n    {% endcall %}\n    {{ return(load_result('get_columns_in_query').table.columns | map(attribute='name') | list) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.456736, "supported_languages": null}, "macro.dbt.alter_column_type": {"name": "alter_column_type", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.alter_column_type", "macro_sql": "{% macro alter_column_type(relation, column_name, new_column_type) -%}\n  {{ return(adapter.dispatch('alter_column_type', 'dbt')(relation, column_name, new_column_type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__alter_column_type"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.456979, "supported_languages": null}, "macro.dbt.default__alter_column_type": {"name": "default__alter_column_type", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__alter_column_type", "macro_sql": "{% macro default__alter_column_type(relation, column_name, new_column_type) -%}\n  {#\n    1. Create a new column (w/ temp name and correct type)\n    2. Copy data over to it\n    3. Drop the existing column (cascade!)\n    4. Rename the new column to existing column\n  #}\n  {%- set tmp_column = column_name + \"__dbt_alter\" -%}\n\n  {% call statement('alter_column_type') %}\n    alter table {{ relation }} add column {{ adapter.quote(tmp_column) }} {{ new_column_type }};\n    update {{ relation }} set {{ adapter.quote(tmp_column) }} = {{ adapter.quote(column_name) }};\n    alter table {{ relation }} drop column {{ adapter.quote(column_name) }} cascade;\n    alter table {{ relation }} rename column {{ adapter.quote(tmp_column) }} to {{ adapter.quote(column_name) }}\n  {% endcall %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.457603, "supported_languages": null}, "macro.dbt.alter_relation_add_remove_columns": {"name": "alter_relation_add_remove_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.alter_relation_add_remove_columns", "macro_sql": "{% macro alter_relation_add_remove_columns(relation, add_columns = none, remove_columns = none) -%}\n  {{ return(adapter.dispatch('alter_relation_add_remove_columns', 'dbt')(relation, add_columns, remove_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__alter_relation_add_remove_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4578729, "supported_languages": null}, "macro.dbt.default__alter_relation_add_remove_columns": {"name": "default__alter_relation_add_remove_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__alter_relation_add_remove_columns", "macro_sql": "{% macro default__alter_relation_add_remove_columns(relation, add_columns, remove_columns) %}\n\n  {% if add_columns is none %}\n    {% set add_columns = [] %}\n  {% endif %}\n  {% if remove_columns is none %}\n    {% set remove_columns = [] %}\n  {% endif %}\n\n  {% set sql -%}\n\n     alter {{ relation.type }} {{ relation }}\n\n            {% for column in add_columns %}\n               add column {{ column.name }} {{ column.data_type }}{{ ',' if not loop.last }}\n            {% endfor %}{{ ',' if add_columns and remove_columns }}\n\n            {% for column in remove_columns %}\n                drop column {{ column.name }}{{ ',' if not loop.last }}\n            {% endfor %}\n\n  {%- endset -%}\n\n  {% do run_query(sql) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.458687, "supported_languages": null}, "macro.dbt.resolve_model_name": {"name": "resolve_model_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.resolve_model_name", "macro_sql": "{% macro resolve_model_name(input_model_name) %}\n    {{ return(adapter.dispatch('resolve_model_name', 'dbt')(input_model_name)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4603431, "supported_languages": null}, "macro.dbt.default__resolve_model_name": {"name": "default__resolve_model_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.default__resolve_model_name", "macro_sql": "\n\n{%- macro default__resolve_model_name(input_model_name) -%}\n    {{  input_model_name | string | replace('\"', '\\\"') }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.460502, "supported_languages": null}, "macro.dbt.build_ref_function": {"name": "build_ref_function", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_ref_function", "macro_sql": "{% macro build_ref_function(model) %}\n\n    {%- set ref_dict = {} -%}\n    {%- for _ref in model.refs -%}\n        {% set _ref_args = [_ref.get('package'), _ref['name']] if _ref.get('package') else [_ref['name'],] %}\n        {%- set resolved = ref(*_ref_args, v=_ref.get('version')) -%}\n        {%- if _ref.get('version') -%}\n            {% do _ref_args.extend([\"v\" ~ _ref['version']]) %}\n        {%- endif -%}\n       {%- do ref_dict.update({_ref_args | join('.'): resolve_model_name(resolved)}) -%}\n    {%- endfor -%}\n\ndef ref(*args, **kwargs):\n    refs = {{ ref_dict | tojson }}\n    key = '.'.join(args)\n    version = kwargs.get(\"v\") or kwargs.get(\"version\")\n    if version:\n        key += f\".v{version}\"\n    dbt_load_df_function = kwargs.get(\"dbt_load_df_function\")\n    return dbt_load_df_function(refs[key])\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.461366, "supported_languages": null}, "macro.dbt.build_source_function": {"name": "build_source_function", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_source_function", "macro_sql": "{% macro build_source_function(model) %}\n\n    {%- set source_dict = {} -%}\n    {%- for _source in model.sources -%}\n        {%- set resolved = source(*_source) -%}\n        {%- do source_dict.update({_source | join('.'): resolve_model_name(resolved)}) -%}\n    {%- endfor -%}\n\ndef source(*args, dbt_load_df_function):\n    sources = {{ source_dict | tojson }}\n    key = '.'.join(args)\n    return dbt_load_df_function(sources[key])\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4618611, "supported_languages": null}, "macro.dbt.build_config_dict": {"name": "build_config_dict", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_config_dict", "macro_sql": "{% macro build_config_dict(model) %}\n    {%- set config_dict = {} -%}\n    {% set config_dbt_used = zip(model.config.config_keys_used, model.config.config_keys_defaults) | list %}\n    {%- for key, default in config_dbt_used -%}\n        {# weird type testing with enum, would be much easier to write this logic in Python! #}\n        {%- if key == \"language\" -%}\n          {%- set value = \"python\" -%}\n        {%- endif -%}\n        {%- set value = model.config.get(key, default) -%}\n        {%- do config_dict.update({key: value}) -%}\n    {%- endfor -%}\nconfig_dict = {{ config_dict }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.462476, "supported_languages": null}, "macro.dbt.py_script_postfix": {"name": "py_script_postfix", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.py_script_postfix", "macro_sql": "{% macro py_script_postfix(model) %}\n# This part is user provided model code\n# you will need to copy the next section to run the code\n# COMMAND ----------\n# this part is dbt logic for get ref work, do not modify\n\n{{ build_ref_function(model ) }}\n{{ build_source_function(model ) }}\n{{ build_config_dict(model) }}\n\nclass config:\n    def __init__(self, *args, **kwargs):\n        pass\n\n    @staticmethod\n    def get(key, default=None):\n        return config_dict.get(key, default)\n\nclass this:\n    \"\"\"dbt.this() or dbt.this.identifier\"\"\"\n    database = \"{{ this.database }}\"\n    schema = \"{{ this.schema }}\"\n    identifier = \"{{ this.identifier }}\"\n    {% set this_relation_name = resolve_model_name(this) %}\n    def __repr__(self):\n        return '{{ this_relation_name  }}'\n\n\nclass dbtObj:\n    def __init__(self, load_df_function) -> None:\n        self.source = lambda *args: source(*args, dbt_load_df_function=load_df_function)\n        self.ref = lambda *args, **kwargs: ref(*args, **kwargs, dbt_load_df_function=load_df_function)\n        self.config = config\n        self.this = this()\n        self.is_incremental = {{ is_incremental() }}\n\n# COMMAND ----------\n{{py_script_comment()}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.build_ref_function", "macro.dbt.build_source_function", "macro.dbt.build_config_dict", "macro.dbt.resolve_model_name", "macro.dbt.is_incremental", "macro.dbt.py_script_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4629738, "supported_languages": null}, "macro.dbt.py_script_comment": {"name": "py_script_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.py_script_comment", "macro_sql": "{%macro py_script_comment()%}\n{%endmacro%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.463052, "supported_languages": null}, "macro.dbt.test_unique": {"name": "test_unique", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_unique", "macro_sql": "{% test unique(model, column_name) %}\n    {% set macro = adapter.dispatch('test_unique', 'dbt') %}\n    {{ macro(model, column_name) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__test_unique"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4635751, "supported_languages": null}, "macro.dbt.test_not_null": {"name": "test_not_null", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_not_null", "macro_sql": "{% test not_null(model, column_name) %}\n    {% set macro = adapter.dispatch('test_not_null', 'dbt') %}\n    {{ macro(model, column_name) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.463819, "supported_languages": null}, "macro.dbt.test_accepted_values": {"name": "test_accepted_values", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_accepted_values", "macro_sql": "{% test accepted_values(model, column_name, values, quote=True) %}\n    {% set macro = adapter.dispatch('test_accepted_values', 'dbt') %}\n    {{ macro(model, column_name, values, quote) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_accepted_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4641228, "supported_languages": null}, "macro.dbt.test_relationships": {"name": "test_relationships", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_relationships", "macro_sql": "{% test relationships(model, column_name, to, field) %}\n    {% set macro = adapter.dispatch('test_relationships', 'dbt') %}\n    {{ macro(model, column_name, to, field) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_relationships"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.464409, "supported_languages": null}, "macro.dbt_utils.get_url_host": {"name": "get_url_host", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_host.sql", "original_file_path": "macros/web/get_url_host.sql", "unique_id": "macro.dbt_utils.get_url_host", "macro_sql": "{% macro get_url_host(field) -%}\n    {{ return(adapter.dispatch('get_url_host', 'dbt_utils')(field)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_host"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.46477, "supported_languages": null}, "macro.dbt_utils.default__get_url_host": {"name": "default__get_url_host", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_host.sql", "original_file_path": "macros/web/get_url_host.sql", "unique_id": "macro.dbt_utils.default__get_url_host", "macro_sql": "{% macro default__get_url_host(field) -%}\n\n{%- set parsed =\n    dbt.split_part(\n        dbt.split_part(\n            dbt.replace(\n                dbt.replace(\n                    dbt.replace(field, \"'android-app://'\", \"''\"\n                    ), \"'http://'\", \"''\"\n                ), \"'https://'\", \"''\"\n            ), \"'/'\", 1\n        ), \"'?'\", 1\n    )\n\n-%}\n\n\n    {{ dbt.safe_cast(\n        parsed,\n        dbt.type_string()\n        )}}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.split_part", "macro.dbt.replace", "macro.dbt.safe_cast", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4652789, "supported_languages": null}, "macro.dbt_utils.get_url_path": {"name": "get_url_path", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_path.sql", "original_file_path": "macros/web/get_url_path.sql", "unique_id": "macro.dbt_utils.get_url_path", "macro_sql": "{% macro get_url_path(field) -%}\n    {{ return(adapter.dispatch('get_url_path', 'dbt_utils')(field)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_path"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.465767, "supported_languages": null}, "macro.dbt_utils.default__get_url_path": {"name": "default__get_url_path", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_path.sql", "original_file_path": "macros/web/get_url_path.sql", "unique_id": "macro.dbt_utils.default__get_url_path", "macro_sql": "{% macro default__get_url_path(field) -%}\n\n    {%- set stripped_url =\n        dbt.replace(\n            dbt.replace(field, \"'http://'\", \"''\"), \"'https://'\", \"''\")\n    -%}\n\n    {%- set first_slash_pos -%}\n        coalesce(\n            nullif({{ dbt.position(\"'/'\", stripped_url) }}, 0),\n            {{ dbt.position(\"'?'\", stripped_url) }} - 1\n            )\n    {%- endset -%}\n\n    {%- set parsed_path =\n        dbt.split_part(\n            dbt.right(\n                stripped_url,\n                dbt.length(stripped_url) ~ \"-\" ~ first_slash_pos\n                ),\n            \"'?'\", 1\n            )\n    -%}\n\n    {{ dbt.safe_cast(\n        parsed_path,\n        dbt.type_string()\n    )}}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.position", "macro.dbt.split_part", "macro.dbt.right", "macro.dbt.length", "macro.dbt.safe_cast", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.466461, "supported_languages": null}, "macro.dbt_utils.get_url_parameter": {"name": "get_url_parameter", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_parameter.sql", "original_file_path": "macros/web/get_url_parameter.sql", "unique_id": "macro.dbt_utils.get_url_parameter", "macro_sql": "{% macro get_url_parameter(field, url_parameter) -%}\n    {{ return(adapter.dispatch('get_url_parameter', 'dbt_utils')(field, url_parameter)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_parameter"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.466783, "supported_languages": null}, "macro.dbt_utils.default__get_url_parameter": {"name": "default__get_url_parameter", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_parameter.sql", "original_file_path": "macros/web/get_url_parameter.sql", "unique_id": "macro.dbt_utils.default__get_url_parameter", "macro_sql": "{% macro default__get_url_parameter(field, url_parameter) -%}\n\n{%- set formatted_url_parameter = \"'\" + url_parameter + \"='\" -%}\n\n{%- set split = dbt.split_part(dbt.split_part(field, formatted_url_parameter, 2), \"'&'\", 1) -%}\n\nnullif({{ split }},'')\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.split_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4671202, "supported_languages": null}, "macro.dbt_utils.test_fewer_rows_than": {"name": "test_fewer_rows_than", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/fewer_rows_than.sql", "original_file_path": "macros/generic_tests/fewer_rows_than.sql", "unique_id": "macro.dbt_utils.test_fewer_rows_than", "macro_sql": "{% test fewer_rows_than(model, compare_model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_fewer_rows_than', 'dbt_utils')(model, compare_model, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_fewer_rows_than"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.468203, "supported_languages": null}, "macro.dbt_utils.default__test_fewer_rows_than": {"name": "default__test_fewer_rows_than", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/fewer_rows_than.sql", "original_file_path": "macros/generic_tests/fewer_rows_than.sql", "unique_id": "macro.dbt_utils.default__test_fewer_rows_than", "macro_sql": "{% macro default__test_fewer_rows_than(model, compare_model, group_by_columns) %}\n\n{{ config(fail_calc = 'sum(coalesce(row_count_delta, 0))') }}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set join_gb_cols %}\n    {% for c in group_by_columns %}\n      and a.{{c}} = b.{{c}}\n    {% endfor %}\n  {% endset %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n{#-- We must add a fake join key in case additional grouping variables are not provided --#}\n{#-- Redshift does not allow for dynamically created join conditions (e.g. full join on 1 = 1 --#}\n{#-- The same logic is used in equal_rowcount. In case of changes, maintain consistent logic --#}\n{% set group_by_columns = ['id_dbtutils_test_fewer_rows_than'] + group_by_columns %}\n{% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n\n\nwith a as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_fewer_rows_than,\n      count(*) as count_our_model \n    from {{ model }}\n    {{ groupby_gb_cols }}\n\n),\nb as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_fewer_rows_than,\n      count(*) as count_comparison_model \n    from {{ compare_model }}\n    {{ groupby_gb_cols }}\n\n),\ncounts as (\n\n    select\n\n        {% for c in group_by_columns -%}\n          a.{{c}} as {{c}}_a,\n          b.{{c}} as {{c}}_b,\n        {% endfor %}\n\n        count_our_model,\n        count_comparison_model\n    from a\n    full join b on \n    a.id_dbtutils_test_fewer_rows_than = b.id_dbtutils_test_fewer_rows_than\n    {{ join_gb_cols }}\n\n),\nfinal as (\n\n    select *,\n        case\n            -- fail the test if we have more rows than the reference model and return the row count delta\n            when count_our_model > count_comparison_model then (count_our_model - count_comparison_model)\n            -- fail the test if they are the same number\n            when count_our_model = count_comparison_model then 1\n            -- pass the test if the delta is positive (i.e. return the number 0)\n            else 0\n    end as row_count_delta\n    from counts\n\n)\n\nselect * from final\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.46927, "supported_languages": null}, "macro.dbt_utils.test_equal_rowcount": {"name": "test_equal_rowcount", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equal_rowcount.sql", "original_file_path": "macros/generic_tests/equal_rowcount.sql", "unique_id": "macro.dbt_utils.test_equal_rowcount", "macro_sql": "{% test equal_rowcount(model, compare_model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_equal_rowcount', 'dbt_utils')(model, compare_model, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_equal_rowcount"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.470144, "supported_languages": null}, "macro.dbt_utils.default__test_equal_rowcount": {"name": "default__test_equal_rowcount", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equal_rowcount.sql", "original_file_path": "macros/generic_tests/equal_rowcount.sql", "unique_id": "macro.dbt_utils.default__test_equal_rowcount", "macro_sql": "{% macro default__test_equal_rowcount(model, compare_model, group_by_columns) %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = 'sum(coalesce(diff_count, 0))') }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n    {{ return('') }}\n{% endif %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(', ') + ', ' %}\n  {% set join_gb_cols %}\n    {% for c in group_by_columns %}\n      and a.{{c}} = b.{{c}}\n    {% endfor %}\n  {% endset %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n{#-- We must add a fake join key in case additional grouping variables are not provided --#}\n{#-- Redshift does not allow for dynamically created join conditions (e.g. full join on 1 = 1 --#}\n{#-- The same logic is used in fewer_rows_than. In case of changes, maintain consistent logic --#}\n{% set group_by_columns = ['id_dbtutils_test_equal_rowcount'] + group_by_columns %}\n{% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n\nwith a as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_equal_rowcount,\n      count(*) as count_a \n    from {{ model }}\n    {{groupby_gb_cols}}\n\n\n),\nb as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_equal_rowcount,\n      count(*) as count_b \n    from {{ compare_model }}\n    {{groupby_gb_cols}}\n\n),\nfinal as (\n\n    select\n    \n        {% for c in group_by_columns -%}\n          a.{{c}} as {{c}}_a,\n          b.{{c}} as {{c}}_b,\n        {% endfor %}\n\n        count_a,\n        count_b,\n        abs(count_a - count_b) as diff_count\n\n    from a\n    full join b\n    on\n    a.id_dbtutils_test_equal_rowcount = b.id_dbtutils_test_equal_rowcount\n    {{join_gb_cols}}\n\n\n)\n\nselect * from final\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4713511, "supported_languages": null}, "macro.dbt_utils.test_relationships_where": {"name": "test_relationships_where", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/relationships_where.sql", "original_file_path": "macros/generic_tests/relationships_where.sql", "unique_id": "macro.dbt_utils.test_relationships_where", "macro_sql": "{% test relationships_where(model, column_name, to, field, from_condition=\"1=1\", to_condition=\"1=1\") %}\n  {{ return(adapter.dispatch('test_relationships_where', 'dbt_utils')(model, column_name, to, field, from_condition, to_condition)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_relationships_where"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4720168, "supported_languages": null}, "macro.dbt_utils.default__test_relationships_where": {"name": "default__test_relationships_where", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/relationships_where.sql", "original_file_path": "macros/generic_tests/relationships_where.sql", "unique_id": "macro.dbt_utils.default__test_relationships_where", "macro_sql": "{% macro default__test_relationships_where(model, column_name, to, field, from_condition=\"1=1\", to_condition=\"1=1\") %}\n\n{# T-SQL has no boolean data type so we use 1=1 which returns TRUE #}\n{# ref https://stackoverflow.com/a/7170753/3842610 #}\n\nwith left_table as (\n\n  select\n    {{column_name}} as id\n\n  from {{model}}\n\n  where {{column_name}} is not null\n    and {{from_condition}}\n\n),\n\nright_table as (\n\n  select\n    {{field}} as id\n\n  from {{to}}\n\n  where {{field}} is not null\n    and {{to_condition}}\n\n),\n\nexceptions as (\n\n  select\n    left_table.id,\n    right_table.id as right_id\n\n  from left_table\n\n  left join right_table\n         on left_table.id = right_table.id\n\n  where right_table.id is null\n\n)\n\nselect * from exceptions\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.472382, "supported_languages": null}, "macro.dbt_utils.test_recency": {"name": "test_recency", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/recency.sql", "original_file_path": "macros/generic_tests/recency.sql", "unique_id": "macro.dbt_utils.test_recency", "macro_sql": "{% test recency(model, field, datepart, interval, ignore_time_component=False, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_recency', 'dbt_utils')(model, field, datepart, interval, ignore_time_component, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_recency"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.473126, "supported_languages": null}, "macro.dbt_utils.default__test_recency": {"name": "default__test_recency", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/recency.sql", "original_file_path": "macros/generic_tests/recency.sql", "unique_id": "macro.dbt_utils.default__test_recency", "macro_sql": "{% macro default__test_recency(model, field, datepart, interval, ignore_time_component, group_by_columns) %}\n\n{% set threshold = 'cast(' ~ dbt.dateadd(datepart, interval * -1, dbt.current_timestamp()) ~ ' as ' ~ ('date' if ignore_time_component else dbt.type_timestamp()) ~ ')'  %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n\nwith recency as (\n\n    select \n\n      {{ select_gb_cols }}\n      {% if ignore_time_component %}\n        cast(max({{ field }}) as date) as most_recent\n      {%- else %}\n        max({{ field }}) as most_recent\n      {%- endif %}\n\n    from {{ model }}\n\n    {{ groupby_gb_cols }}\n\n)\n\nselect\n\n    {{ select_gb_cols }}\n    most_recent,\n    {{ threshold }} as threshold\n\nfrom recency\nwhere most_recent < {{ threshold }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.current_timestamp", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.474019, "supported_languages": null}, "macro.dbt_utils.test_not_constant": {"name": "test_not_constant", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_constant.sql", "original_file_path": "macros/generic_tests/not_constant.sql", "unique_id": "macro.dbt_utils.test_not_constant", "macro_sql": "{% test not_constant(model, column_name, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_not_constant', 'dbt_utils')(model, column_name, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_constant"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4744802, "supported_languages": null}, "macro.dbt_utils.default__test_not_constant": {"name": "default__test_not_constant", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_constant.sql", "original_file_path": "macros/generic_tests/not_constant.sql", "unique_id": "macro.dbt_utils.default__test_not_constant", "macro_sql": "{% macro default__test_not_constant(model, column_name, group_by_columns) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n\nselect\n    {# In TSQL, subquery aggregate columns need aliases #}\n    {# thus: a filler col name, 'filler_column' #}\n    {{select_gb_cols}}\n    count(distinct {{ column_name }}) as filler_column\n\nfrom {{ model }}\n\n  {{groupby_gb_cols}}\n\nhaving count(distinct {{ column_name }}) = 1\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.474963, "supported_languages": null}, "macro.dbt_utils.test_accepted_range": {"name": "test_accepted_range", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/accepted_range.sql", "original_file_path": "macros/generic_tests/accepted_range.sql", "unique_id": "macro.dbt_utils.test_accepted_range", "macro_sql": "{% test accepted_range(model, column_name, min_value=none, max_value=none, inclusive=true) %}\n  {{ return(adapter.dispatch('test_accepted_range', 'dbt_utils')(model, column_name, min_value, max_value, inclusive)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_accepted_range"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.475584, "supported_languages": null}, "macro.dbt_utils.default__test_accepted_range": {"name": "default__test_accepted_range", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/accepted_range.sql", "original_file_path": "macros/generic_tests/accepted_range.sql", "unique_id": "macro.dbt_utils.default__test_accepted_range", "macro_sql": "{% macro default__test_accepted_range(model, column_name, min_value=none, max_value=none, inclusive=true) %}\n\nwith meet_condition as(\n  select *\n  from {{ model }}\n),\n\nvalidation_errors as (\n  select *\n  from meet_condition\n  where\n    -- never true, defaults to an empty result set. Exists to ensure any combo of the `or` clauses below succeeds\n    1 = 2\n\n  {%- if min_value is not none %}\n    -- records with a value >= min_value are permitted. The `not` flips this to find records that don't meet the rule.\n    or not {{ column_name }} > {{- \"=\" if inclusive }} {{ min_value }}\n  {%- endif %}\n\n  {%- if max_value is not none %}\n    -- records with a value <= max_value are permitted. The `not` flips this to find records that don't meet the rule.\n    or not {{ column_name }} < {{- \"=\" if inclusive }} {{ max_value }}\n  {%- endif %}\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.476091, "supported_languages": null}, "macro.dbt_utils.test_not_accepted_values": {"name": "test_not_accepted_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_accepted_values.sql", "original_file_path": "macros/generic_tests/not_accepted_values.sql", "unique_id": "macro.dbt_utils.test_not_accepted_values", "macro_sql": "{% test not_accepted_values(model, column_name, values, quote=True) %}\n  {{ return(adapter.dispatch('test_not_accepted_values', 'dbt_utils')(model, column_name, values, quote)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_accepted_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.476662, "supported_languages": null}, "macro.dbt_utils.default__test_not_accepted_values": {"name": "default__test_not_accepted_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_accepted_values.sql", "original_file_path": "macros/generic_tests/not_accepted_values.sql", "unique_id": "macro.dbt_utils.default__test_not_accepted_values", "macro_sql": "{% macro default__test_not_accepted_values(model, column_name, values, quote=True) %}\nwith all_values as (\n\n    select distinct\n        {{ column_name }} as value_field\n\n    from {{ model }}\n\n),\n\nvalidation_errors as (\n\n    select\n        value_field\n\n    from all_values\n    where value_field in (\n        {% for value in values -%}\n            {% if quote -%}\n            '{{ value }}'\n            {%- else -%}\n            {{ value }}\n            {%- endif -%}\n            {%- if not loop.last -%},{%- endif %}\n        {%- endfor %}\n        )\n\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4770691, "supported_languages": null}, "macro.dbt_utils.test_at_least_one": {"name": "test_at_least_one", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/at_least_one.sql", "original_file_path": "macros/generic_tests/at_least_one.sql", "unique_id": "macro.dbt_utils.test_at_least_one", "macro_sql": "{% test at_least_one(model, column_name, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_at_least_one', 'dbt_utils')(model, column_name, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_at_least_one"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.477744, "supported_languages": null}, "macro.dbt_utils.default__test_at_least_one": {"name": "default__test_at_least_one", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/at_least_one.sql", "original_file_path": "macros/generic_tests/at_least_one.sql", "unique_id": "macro.dbt_utils.default__test_at_least_one", "macro_sql": "{% macro default__test_at_least_one(model, column_name, group_by_columns) %}\n\n{% set pruned_cols = [column_name] %}\n\n{% if group_by_columns|length() > 0 %}\n\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n  {% set pruned_cols = group_by_columns %}\n\n  {% if column_name not in pruned_cols %}\n    {% do pruned_cols.append(column_name) %}\n  {% endif %}\n\n{% endif %}\n\n{% set select_pruned_cols = pruned_cols|join(' ,') %}\n\nselect *\nfrom (\n    with pruned_rows as (\n      select\n        {{ select_pruned_cols }}\n      from {{ model }}\n      where {{ column_name }} is not null\n      limit 1\n    )\n    select\n        {# In TSQL, subquery aggregate columns need aliases #}\n        {# thus: a filler col name, 'filler_column' #}\n      {{select_gb_cols}}\n      count({{ column_name }}) as filler_column\n\n    from pruned_rows\n\n    {{groupby_gb_cols}}\n\n    having count({{ column_name }}) = 0\n\n) validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.478591, "supported_languages": null}, "macro.dbt_utils.test_unique_combination_of_columns": {"name": "test_unique_combination_of_columns", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/unique_combination_of_columns.sql", "original_file_path": "macros/generic_tests/unique_combination_of_columns.sql", "unique_id": "macro.dbt_utils.test_unique_combination_of_columns", "macro_sql": "{% test unique_combination_of_columns(model, combination_of_columns, quote_columns=false) %}\n  {{ return(adapter.dispatch('test_unique_combination_of_columns', 'dbt_utils')(model, combination_of_columns, quote_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_unique_combination_of_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.479234, "supported_languages": null}, "macro.dbt_utils.default__test_unique_combination_of_columns": {"name": "default__test_unique_combination_of_columns", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/unique_combination_of_columns.sql", "original_file_path": "macros/generic_tests/unique_combination_of_columns.sql", "unique_id": "macro.dbt_utils.default__test_unique_combination_of_columns", "macro_sql": "{% macro default__test_unique_combination_of_columns(model, combination_of_columns, quote_columns=false) %}\n\n{% if not quote_columns %}\n    {%- set column_list=combination_of_columns %}\n{% elif quote_columns %}\n    {%- set column_list=[] %}\n        {% for column in combination_of_columns -%}\n            {% set column_list = column_list.append( adapter.quote(column) ) %}\n        {%- endfor %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`quote_columns` argument for unique_combination_of_columns test must be one of [True, False] Got: '\" ~ quote ~\"'.'\"\n    ) }}\n{% endif %}\n\n{%- set columns_csv=column_list | join(', ') %}\n\n\nwith validation_errors as (\n\n    select\n        {{ columns_csv }}\n    from {{ model }}\n    group by {{ columns_csv }}\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.479916, "supported_languages": null}, "macro.dbt_utils.test_cardinality_equality": {"name": "test_cardinality_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/cardinality_equality.sql", "original_file_path": "macros/generic_tests/cardinality_equality.sql", "unique_id": "macro.dbt_utils.test_cardinality_equality", "macro_sql": "{% test cardinality_equality(model, column_name, to, field) %}\n    {{ return(adapter.dispatch('test_cardinality_equality', 'dbt_utils')(model, column_name, to, field)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_cardinality_equality"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.480473, "supported_languages": null}, "macro.dbt_utils.default__test_cardinality_equality": {"name": "default__test_cardinality_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/cardinality_equality.sql", "original_file_path": "macros/generic_tests/cardinality_equality.sql", "unique_id": "macro.dbt_utils.default__test_cardinality_equality", "macro_sql": "{% macro default__test_cardinality_equality(model, column_name, to, field) %}\n\n{# T-SQL does not let you use numbers as aliases for columns #}\n{# Thus, no \"GROUP BY 1\" #}\n\nwith table_a as (\nselect\n  {{ column_name }},\n  count(*) as num_rows\nfrom {{ model }}\ngroup by {{ column_name }}\n),\n\ntable_b as (\nselect\n  {{ field }},\n  count(*) as num_rows\nfrom {{ to }}\ngroup by {{ field }}\n),\n\nexcept_a as (\n  select *\n  from table_a\n  {{ dbt.except() }}\n  select *\n  from table_b\n),\n\nexcept_b as (\n  select *\n  from table_b\n  {{ dbt.except() }}\n  select *\n  from table_a\n),\n\nunioned as (\n  select *\n  from except_a\n  union all\n  select *\n  from except_b\n)\n\nselect *\nfrom unioned\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.48084, "supported_languages": null}, "macro.dbt_utils.test_expression_is_true": {"name": "test_expression_is_true", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/expression_is_true.sql", "original_file_path": "macros/generic_tests/expression_is_true.sql", "unique_id": "macro.dbt_utils.test_expression_is_true", "macro_sql": "{% test expression_is_true(model, expression, column_name=None) %}\n  {{ return(adapter.dispatch('test_expression_is_true', 'dbt_utils')(model, expression, column_name)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.481257, "supported_languages": null}, "macro.dbt_utils.default__test_expression_is_true": {"name": "default__test_expression_is_true", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/expression_is_true.sql", "original_file_path": "macros/generic_tests/expression_is_true.sql", "unique_id": "macro.dbt_utils.default__test_expression_is_true", "macro_sql": "{% macro default__test_expression_is_true(model, expression, column_name) %}\n\n{% set column_list = '*' if should_store_failures() else \"1\" %}\n\nselect\n    {{ column_list }}\nfrom {{ model }}\n{% if column_name is none %}\nwhere not({{ expression }})\n{%- else %}\nwhere not({{ column_name }} {{ expression }})\n{%- endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_store_failures"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.481697, "supported_languages": null}, "macro.dbt_utils.test_not_null_proportion": {"name": "test_not_null_proportion", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_null_proportion.sql", "original_file_path": "macros/generic_tests/not_null_proportion.sql", "unique_id": "macro.dbt_utils.test_not_null_proportion", "macro_sql": "{% macro test_not_null_proportion(model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_not_null_proportion', 'dbt_utils')(model, group_by_columns, **kwargs)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_null_proportion"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.482371, "supported_languages": null}, "macro.dbt_utils.default__test_not_null_proportion": {"name": "default__test_not_null_proportion", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_null_proportion.sql", "original_file_path": "macros/generic_tests/not_null_proportion.sql", "unique_id": "macro.dbt_utils.default__test_not_null_proportion", "macro_sql": "{% macro default__test_not_null_proportion(model, group_by_columns) %}\n\n{% set column_name = kwargs.get('column_name', kwargs.get('arg')) %}\n{% set at_least = kwargs.get('at_least', kwargs.get('arg')) %}\n{% set at_most = kwargs.get('at_most', kwargs.get('arg', 1)) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\nwith validation as (\n  select\n    {{select_gb_cols}}\n    sum(case when {{ column_name }} is null then 0 else 1 end) / cast(count(*) as numeric) as not_null_proportion\n  from {{ model }}\n  {{groupby_gb_cols}}\n),\nvalidation_errors as (\n  select\n    {{select_gb_cols}}\n    not_null_proportion\n  from validation\n  where not_null_proportion < {{ at_least }} or not_null_proportion > {{ at_most }}\n)\nselect\n  *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.483233, "supported_languages": null}, "macro.dbt_utils.test_sequential_values": {"name": "test_sequential_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/sequential_values.sql", "original_file_path": "macros/generic_tests/sequential_values.sql", "unique_id": "macro.dbt_utils.test_sequential_values", "macro_sql": "{% test sequential_values(model, column_name, interval=1, datepart=None, group_by_columns = []) %}\n\n  {{ return(adapter.dispatch('test_sequential_values', 'dbt_utils')(model, column_name, interval, datepart, group_by_columns)) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_sequential_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.484159, "supported_languages": null}, "macro.dbt_utils.default__test_sequential_values": {"name": "default__test_sequential_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/sequential_values.sql", "original_file_path": "macros/generic_tests/sequential_values.sql", "unique_id": "macro.dbt_utils.default__test_sequential_values", "macro_sql": "{% macro default__test_sequential_values(model, column_name, interval=1, datepart=None, group_by_columns = []) %}\n\n{% set previous_column_name = \"previous_\" ~ dbt_utils.slugify(column_name) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(',') + ', ' %}\n  {% set partition_gb_cols = 'partition by ' + group_by_columns|join(',') %}\n{% endif %}\n\nwith windowed as (\n\n    select\n        {{ select_gb_cols }}\n        {{ column_name }},\n        lag({{ column_name }}) over (\n            {{partition_gb_cols}}\n            order by {{ column_name }}\n        ) as {{ previous_column_name }}\n    from {{ model }}\n),\n\nvalidation_errors as (\n    select\n        *\n    from windowed\n    {% if datepart %}\n    where not(cast({{ column_name }} as {{ dbt.type_timestamp() }})= cast({{ dbt.dateadd(datepart, interval, previous_column_name) }} as {{ dbt.type_timestamp() }}))\n    {% else %}\n    where not({{ column_name }} = {{ previous_column_name }} + {{ interval }})\n    {% endif %}\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.slugify", "macro.dbt.type_timestamp", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.485128, "supported_languages": null}, "macro.dbt_utils.test_equality": {"name": "test_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equality.sql", "original_file_path": "macros/generic_tests/equality.sql", "unique_id": "macro.dbt_utils.test_equality", "macro_sql": "{% test equality(model, compare_model, compare_columns=None) %}\n  {{ return(adapter.dispatch('test_equality', 'dbt_utils')(model, compare_model, compare_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_equality"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.485868, "supported_languages": null}, "macro.dbt_utils.default__test_equality": {"name": "default__test_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equality.sql", "original_file_path": "macros/generic_tests/equality.sql", "unique_id": "macro.dbt_utils.default__test_equality", "macro_sql": "{% macro default__test_equality(model, compare_model, compare_columns=None) %}\n\n{% set set_diff %}\n    count(*) + coalesce(abs(\n        sum(case when which_diff = 'a_minus_b' then 1 else 0 end) -\n        sum(case when which_diff = 'b_minus_a' then 1 else 0 end)\n    ), 0)\n{% endset %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = set_diff) }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n    {{ return('') }}\n{% endif %}\n\n-- setup\n{%- do dbt_utils._is_relation(model, 'test_equality') -%}\n\n{#-\nIf the compare_cols arg is provided, we can run this test without querying the\ninformation schema\u00a0\u2014 this allows the model to be an ephemeral model\n-#}\n\n{%- if not compare_columns -%}\n    {%- do dbt_utils._is_ephemeral(model, 'test_equality') -%}\n    {%- set compare_columns = adapter.get_columns_in_relation(model) | map(attribute='quoted') -%}\n{%- endif -%}\n\n{% set compare_cols_csv = compare_columns | join(', ') %}\n\nwith a as (\n\n    select * from {{ model }}\n\n),\n\nb as (\n\n    select * from {{ compare_model }}\n\n),\n\na_minus_b as (\n\n    select {{compare_cols_csv}} from a\n    {{ dbt.except() }}\n    select {{compare_cols_csv}} from b\n\n),\n\nb_minus_a as (\n\n    select {{compare_cols_csv}} from b\n    {{ dbt.except() }}\n    select {{compare_cols_csv}} from a\n\n),\n\nunioned as (\n\n    select 'a_minus_b' as which_diff, a_minus_b.* from a_minus_b\n    union all\n    select 'b_minus_a' as which_diff, b_minus_a.* from b_minus_a\n\n)\n\nselect * from unioned\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.486804, "supported_languages": null}, "macro.dbt_utils.test_not_empty_string": {"name": "test_not_empty_string", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_empty_string.sql", "original_file_path": "macros/generic_tests/not_empty_string.sql", "unique_id": "macro.dbt_utils.test_not_empty_string", "macro_sql": "{% test not_empty_string(model, column_name, trim_whitespace=true) %}\n\n  {{ return(adapter.dispatch('test_not_empty_string', 'dbt_utils')(model, column_name, trim_whitespace)) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_empty_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4873312, "supported_languages": null}, "macro.dbt_utils.default__test_not_empty_string": {"name": "default__test_not_empty_string", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_empty_string.sql", "original_file_path": "macros/generic_tests/not_empty_string.sql", "unique_id": "macro.dbt_utils.default__test_not_empty_string", "macro_sql": "{% macro default__test_not_empty_string(model, column_name, trim_whitespace=true) %}\n\n    with\n    \n    all_values as (\n\n        select \n\n\n            {% if trim_whitespace == true -%}\n\n                trim({{ column_name }}) as {{ column_name }}\n\n            {%- else -%}\n\n                {{ column_name }}\n\n            {%- endif %}\n            \n        from {{ model }}\n\n    ),\n\n    errors as (\n\n        select * from all_values\n        where {{ column_name }} = ''\n\n    )\n\n    select * from errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4876502, "supported_languages": null}, "macro.dbt_utils.test_mutually_exclusive_ranges": {"name": "test_mutually_exclusive_ranges", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/mutually_exclusive_ranges.sql", "original_file_path": "macros/generic_tests/mutually_exclusive_ranges.sql", "unique_id": "macro.dbt_utils.test_mutually_exclusive_ranges", "macro_sql": "{% test mutually_exclusive_ranges(model, lower_bound_column, upper_bound_column, partition_by=None, gaps='allowed', zero_length_range_allowed=False) %}\n  {{ return(adapter.dispatch('test_mutually_exclusive_ranges', 'dbt_utils')(model, lower_bound_column, upper_bound_column, partition_by, gaps, zero_length_range_allowed)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_mutually_exclusive_ranges"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4910889, "supported_languages": null}, "macro.dbt_utils.default__test_mutually_exclusive_ranges": {"name": "default__test_mutually_exclusive_ranges", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/mutually_exclusive_ranges.sql", "original_file_path": "macros/generic_tests/mutually_exclusive_ranges.sql", "unique_id": "macro.dbt_utils.default__test_mutually_exclusive_ranges", "macro_sql": "{% macro default__test_mutually_exclusive_ranges(model, lower_bound_column, upper_bound_column, partition_by=None, gaps='allowed', zero_length_range_allowed=False) %}\n{% if gaps == 'not_allowed' %}\n    {% set allow_gaps_operator='=' %}\n    {% set allow_gaps_operator_in_words='equal_to' %}\n{% elif gaps == 'allowed' %}\n    {% set allow_gaps_operator='<=' %}\n    {% set allow_gaps_operator_in_words='less_than_or_equal_to' %}\n{% elif gaps == 'required' %}\n    {% set allow_gaps_operator='<' %}\n    {% set allow_gaps_operator_in_words='less_than' %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`gaps` argument for mutually_exclusive_ranges test must be one of ['not_allowed', 'allowed', 'required'] Got: '\" ~ gaps ~\"'.'\"\n    ) }}\n{% endif %}\n{% if not zero_length_range_allowed %}\n    {% set allow_zero_length_operator='<' %}\n    {% set allow_zero_length_operator_in_words='less_than' %}\n{% elif zero_length_range_allowed %}\n    {% set allow_zero_length_operator='<=' %}\n    {% set allow_zero_length_operator_in_words='less_than_or_equal_to' %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`zero_length_range_allowed` argument for mutually_exclusive_ranges test must be one of [true, false] Got: '\" ~ zero_length_range_allowed ~\"'.'\"\n    ) }}\n{% endif %}\n\n{% set partition_clause=\"partition by \" ~ partition_by if partition_by else '' %}\n\nwith window_functions as (\n\n    select\n        {% if partition_by %}\n        {{ partition_by }} as partition_by_col,\n        {% endif %}\n        {{ lower_bound_column }} as lower_bound,\n        {{ upper_bound_column }} as upper_bound,\n\n        lead({{ lower_bound_column }}) over (\n            {{ partition_clause }}\n            order by {{ lower_bound_column }}, {{ upper_bound_column }}\n        ) as next_lower_bound,\n\n        row_number() over (\n            {{ partition_clause }}\n            order by {{ lower_bound_column }} desc, {{ upper_bound_column }} desc\n        ) = 1 as is_last_record\n\n    from {{ model }}\n\n),\n\ncalc as (\n    -- We want to return records where one of our assumptions fails, so we'll use\n    -- the `not` function with `and` statements so we can write our assumptions more cleanly\n    select\n        *,\n\n        -- For each record: lower_bound should be < upper_bound.\n        -- Coalesce it to return an error on the null case (implicit assumption\n        -- these columns are not_null)\n        coalesce(\n            lower_bound {{ allow_zero_length_operator }} upper_bound,\n            false\n        ) as lower_bound_{{ allow_zero_length_operator_in_words }}_upper_bound,\n\n        -- For each record: upper_bound {{ allow_gaps_operator }} the next lower_bound.\n        -- Coalesce it to handle null cases for the last record.\n        coalesce(\n            upper_bound {{ allow_gaps_operator }} next_lower_bound,\n            is_last_record,\n            false\n        ) as upper_bound_{{ allow_gaps_operator_in_words }}_next_lower_bound\n\n    from window_functions\n\n),\n\nvalidation_errors as (\n\n    select\n        *\n    from calc\n\n    where not(\n        -- THE FOLLOWING SHOULD BE TRUE --\n        lower_bound_{{ allow_zero_length_operator_in_words }}_upper_bound\n        and upper_bound_{{ allow_gaps_operator_in_words }}_next_lower_bound\n    )\n)\n\nselect * from validation_errors\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.492764, "supported_languages": null}, "macro.dbt_utils.pretty_log_format": {"name": "pretty_log_format", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_log_format.sql", "original_file_path": "macros/jinja_helpers/pretty_log_format.sql", "unique_id": "macro.dbt_utils.pretty_log_format", "macro_sql": "{% macro pretty_log_format(message) %}\n    {{ return(adapter.dispatch('pretty_log_format', 'dbt_utils')(message)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pretty_log_format"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4930491, "supported_languages": null}, "macro.dbt_utils.default__pretty_log_format": {"name": "default__pretty_log_format", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_log_format.sql", "original_file_path": "macros/jinja_helpers/pretty_log_format.sql", "unique_id": "macro.dbt_utils.default__pretty_log_format", "macro_sql": "{% macro default__pretty_log_format(message) %}\n    {{ return( dbt_utils.pretty_time() ~ ' + ' ~ message) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.pretty_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.493226, "supported_languages": null}, "macro.dbt_utils._is_relation": {"name": "_is_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/_is_relation.sql", "original_file_path": "macros/jinja_helpers/_is_relation.sql", "unique_id": "macro.dbt_utils._is_relation", "macro_sql": "{% macro _is_relation(obj, macro) %}\n    {%- if not (obj is mapping and obj.get('metadata', {}).get('type', '').endswith('Relation')) -%}\n        {%- do exceptions.raise_compiler_error(\"Macro \" ~ macro ~ \" expected a Relation but received the value: \" ~ obj) -%}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.493688, "supported_languages": null}, "macro.dbt_utils.pretty_time": {"name": "pretty_time", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_time.sql", "original_file_path": "macros/jinja_helpers/pretty_time.sql", "unique_id": "macro.dbt_utils.pretty_time", "macro_sql": "{% macro pretty_time(format='%H:%M:%S') %}\n    {{ return(adapter.dispatch('pretty_time', 'dbt_utils')(format)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pretty_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.493979, "supported_languages": null}, "macro.dbt_utils.default__pretty_time": {"name": "default__pretty_time", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_time.sql", "original_file_path": "macros/jinja_helpers/pretty_time.sql", "unique_id": "macro.dbt_utils.default__pretty_time", "macro_sql": "{% macro default__pretty_time(format='%H:%M:%S') %}\n    {{ return(modules.datetime.datetime.now().strftime(format)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.494185, "supported_languages": null}, "macro.dbt_utils.log_info": {"name": "log_info", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/log_info.sql", "original_file_path": "macros/jinja_helpers/log_info.sql", "unique_id": "macro.dbt_utils.log_info", "macro_sql": "{% macro log_info(message) %}\n    {{ return(adapter.dispatch('log_info', 'dbt_utils')(message)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__log_info"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4944499, "supported_languages": null}, "macro.dbt_utils.default__log_info": {"name": "default__log_info", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/log_info.sql", "original_file_path": "macros/jinja_helpers/log_info.sql", "unique_id": "macro.dbt_utils.default__log_info", "macro_sql": "{% macro default__log_info(message) %}\n    {{ log(dbt_utils.pretty_log_format(message), info=True) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.pretty_log_format"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.494637, "supported_languages": null}, "macro.dbt_utils.slugify": {"name": "slugify", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/slugify.sql", "original_file_path": "macros/jinja_helpers/slugify.sql", "unique_id": "macro.dbt_utils.slugify", "macro_sql": "{% macro slugify(string) %}\n\n{#- Lower case the string -#}\n{% set string = string | lower %}\n{#- Replace spaces and dashes with underscores -#}\n{% set string = modules.re.sub('[ -]+', '_', string) %}\n{#- Only take letters, numbers, and underscores -#}\n{% set string = modules.re.sub('[^a-z0-9_]+', '', string) %}\n{#- Prepends \"_\" if string begins with a number -#}\n{% set string = modules.re.sub('^[0-9]', '_' + string[0], string) %}\n\n{{ return(string) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.495275, "supported_languages": null}, "macro.dbt_utils._is_ephemeral": {"name": "_is_ephemeral", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/_is_ephemeral.sql", "original_file_path": "macros/jinja_helpers/_is_ephemeral.sql", "unique_id": "macro.dbt_utils._is_ephemeral", "macro_sql": "{% macro _is_ephemeral(obj, macro) %}\n    {%- if obj.is_cte -%}\n        {% set ephemeral_prefix = api.Relation.add_ephemeral_prefix('') %}\n        {% if obj.name.startswith(ephemeral_prefix) %}\n            {% set model_name = obj.name[(ephemeral_prefix|length):] %}\n        {% else %}\n            {% set model_name = obj.name %}\n        {%- endif -%}\n        {% set error_message %}\nThe `{{ macro }}` macro cannot be used with ephemeral models, as it relies on the information schema.\n\n`{{ model_name }}` is an ephemeral model. Consider making it a view or table instead.\n        {% endset %}\n        {%- do exceptions.raise_compiler_error(error_message) -%}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.496153, "supported_languages": null}, "macro.dbt_utils.get_intervals_between": {"name": "get_intervals_between", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.get_intervals_between", "macro_sql": "{% macro get_intervals_between(start_date, end_date, datepart) -%}\n    {{ return(adapter.dispatch('get_intervals_between', 'dbt_utils')(start_date, end_date, datepart)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_intervals_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.496866, "supported_languages": null}, "macro.dbt_utils.default__get_intervals_between": {"name": "default__get_intervals_between", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.default__get_intervals_between", "macro_sql": "{% macro default__get_intervals_between(start_date, end_date, datepart) -%}\n    {%- call statement('get_intervals_between', fetch_result=True) %}\n\n        select {{ dbt.datediff(start_date, end_date, datepart) }}\n\n    {%- endcall -%}\n\n    {%- set value_list = load_result('get_intervals_between') -%}\n\n    {%- if value_list and value_list['data'] -%}\n        {%- set values = value_list['data'] | map(attribute=0) | list %}\n        {{ return(values[0]) }}\n    {%- else -%}\n        {{ return(1) }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.49749, "supported_languages": null}, "macro.dbt_utils.date_spine": {"name": "date_spine", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.date_spine", "macro_sql": "{% macro date_spine(datepart, start_date, end_date) %}\n    {{ return(adapter.dispatch('date_spine', 'dbt_utils')(datepart, start_date, end_date)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__date_spine"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.497736, "supported_languages": null}, "macro.dbt_utils.default__date_spine": {"name": "default__date_spine", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.default__date_spine", "macro_sql": "{% macro default__date_spine(datepart, start_date, end_date) %}\n\n\n{# call as follows:\n\ndate_spine(\n    \"day\",\n    \"to_date('01/01/2016', 'mm/dd/yyyy')\",\n    \"dbt.dateadd(week, 1, current_date)\"\n) #}\n\n\nwith rawdata as (\n\n    {{dbt_utils.generate_series(\n        dbt_utils.get_intervals_between(start_date, end_date, datepart)\n    )}}\n\n),\n\nall_periods as (\n\n    select (\n        {{\n            dbt.dateadd(\n                datepart,\n                \"row_number() over (order by 1) - 1\",\n                start_date\n            )\n        }}\n    ) as date_{{datepart}}\n    from rawdata\n\n),\n\nfiltered as (\n\n    select *\n    from all_periods\n    where date_{{datepart}} <= {{ end_date }}\n\n)\n\nselect * from filtered\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.generate_series", "macro.dbt_utils.get_intervals_between", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.4981189, "supported_languages": null}, "macro.dbt_utils.safe_subtract": {"name": "safe_subtract", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_subtract.sql", "original_file_path": "macros/sql/safe_subtract.sql", "unique_id": "macro.dbt_utils.safe_subtract", "macro_sql": "{%- macro safe_subtract(field_list) -%}\n    {{ return(adapter.dispatch('safe_subtract', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_subtract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.498516, "supported_languages": null}, "macro.dbt_utils.default__safe_subtract": {"name": "default__safe_subtract", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_subtract.sql", "original_file_path": "macros/sql/safe_subtract.sql", "unique_id": "macro.dbt_utils.default__safe_subtract", "macro_sql": "\n\n{%- macro default__safe_subtract(field_list) -%}\n\n{%- if field_list is not iterable or field_list is string or field_list is mapping -%}\n\n{%- set error_message = '\nWarning: the `safe_subtract` macro takes a single list argument instead of \\\nstring arguments. The {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.raise_compiler_error(error_message) -%}\n\n{%- endif -%}\n\n{% set fields = [] %}\n\n{%- for field in field_list -%}\n\n    {% do fields.append(\"coalesce(\" ~ field ~ \", 0)\") %}\n\n{%- endfor -%}\n\n{{ fields|join(' -\\n  ') }}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.499106, "supported_languages": null}, "macro.dbt_utils.nullcheck_table": {"name": "nullcheck_table", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck_table.sql", "original_file_path": "macros/sql/nullcheck_table.sql", "unique_id": "macro.dbt_utils.nullcheck_table", "macro_sql": "{% macro nullcheck_table(relation) %}\n    {{ return(adapter.dispatch('nullcheck_table', 'dbt_utils')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__nullcheck_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.499431, "supported_languages": null}, "macro.dbt_utils.default__nullcheck_table": {"name": "default__nullcheck_table", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck_table.sql", "original_file_path": "macros/sql/nullcheck_table.sql", "unique_id": "macro.dbt_utils.default__nullcheck_table", "macro_sql": "{% macro default__nullcheck_table(relation) %}\n\n  {%- do dbt_utils._is_relation(relation, 'nullcheck_table') -%}\n  {%- do dbt_utils._is_ephemeral(relation, 'nullcheck_table') -%}\n  {% set cols = adapter.get_columns_in_relation(relation) %}\n\n  select {{ dbt_utils.nullcheck(cols) }}\n  from {{relation}}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.nullcheck"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.499802, "supported_languages": null}, "macro.dbt_utils.get_relations_by_pattern": {"name": "get_relations_by_pattern", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_pattern.sql", "original_file_path": "macros/sql/get_relations_by_pattern.sql", "unique_id": "macro.dbt_utils.get_relations_by_pattern", "macro_sql": "{% macro get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_relations_by_pattern', 'dbt_utils')(schema_pattern, table_pattern, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.50051, "supported_languages": null}, "macro.dbt_utils.default__get_relations_by_pattern": {"name": "default__get_relations_by_pattern", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_pattern.sql", "original_file_path": "macros/sql/get_relations_by_pattern.sql", "unique_id": "macro.dbt_utils.default__get_relations_by_pattern", "macro_sql": "{% macro default__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n      {{ dbt_utils.get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude, database) }}\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n        {%- set tbl_relations = [] -%}\n        {%- for row in table_list['table'] -%}\n            {%- set tbl_relation = api.Relation.create(\n                database=database,\n                schema=row.table_schema,\n                identifier=row.table_name,\n                type=row.table_type\n            ) -%}\n            {%- do tbl_relations.append(tbl_relation) -%}\n        {%- endfor -%}\n\n        {{ return(tbl_relations) }}\n    {%- else -%}\n        {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.501469, "supported_languages": null}, "macro.dbt_utils.get_powers_of_two": {"name": "get_powers_of_two", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.get_powers_of_two", "macro_sql": "{% macro get_powers_of_two(upper_bound) %}\n    {{ return(adapter.dispatch('get_powers_of_two', 'dbt_utils')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.502336, "supported_languages": null}, "macro.dbt_utils.default__get_powers_of_two": {"name": "default__get_powers_of_two", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.default__get_powers_of_two", "macro_sql": "{% macro default__get_powers_of_two(upper_bound) %}\n\n    {% if upper_bound <= 0 %}\n    {{ exceptions.raise_compiler_error(\"upper bound must be positive\") }}\n    {% endif %}\n\n    {% for _ in range(1, 100) %}\n       {% if upper_bound <= 2 ** loop.index %}{{ return(loop.index) }}{% endif %}\n    {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.50278, "supported_languages": null}, "macro.dbt_utils.generate_series": {"name": "generate_series", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.generate_series", "macro_sql": "{% macro generate_series(upper_bound) %}\n    {{ return(adapter.dispatch('generate_series', 'dbt_utils')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__generate_series"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5029812, "supported_languages": null}, "macro.dbt_utils.default__generate_series": {"name": "default__generate_series", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.default__generate_series", "macro_sql": "{% macro default__generate_series(upper_bound) %}\n\n    {% set n = dbt_utils.get_powers_of_two(upper_bound) %}\n\n    with p as (\n        select 0 as generated_number union all select 1\n    ), unioned as (\n\n    select\n\n    {% for i in range(n) %}\n    p{{i}}.generated_number * power(2, {{i}})\n    {% if not loop.last %} + {% endif %}\n    {% endfor %}\n    + 1\n    as generated_number\n\n    from\n\n    {% for i in range(n) %}\n    p as p{{i}}\n    {% if not loop.last %} cross join {% endif %}\n    {% endfor %}\n\n    )\n\n    select *\n    from unioned\n    where generated_number <= {{upper_bound}}\n    order by generated_number\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.503529, "supported_languages": null}, "macro.dbt_utils.get_relations_by_prefix": {"name": "get_relations_by_prefix", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_prefix.sql", "original_file_path": "macros/sql/get_relations_by_prefix.sql", "unique_id": "macro.dbt_utils.get_relations_by_prefix", "macro_sql": "{% macro get_relations_by_prefix(schema, prefix, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_relations_by_prefix', 'dbt_utils')(schema, prefix, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_relations_by_prefix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.504236, "supported_languages": null}, "macro.dbt_utils.default__get_relations_by_prefix": {"name": "default__get_relations_by_prefix", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_prefix.sql", "original_file_path": "macros/sql/get_relations_by_prefix.sql", "unique_id": "macro.dbt_utils.default__get_relations_by_prefix", "macro_sql": "{% macro default__get_relations_by_prefix(schema, prefix, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n      {{ dbt_utils.get_tables_by_prefix_sql(schema, prefix, exclude, database) }}\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n        {%- set tbl_relations = [] -%}\n        {%- for row in table_list['table'] -%}\n            {%- set tbl_relation = api.Relation.create(\n                database=database,\n                schema=row.table_schema,\n                identifier=row.table_name,\n                type=row.table_type\n            ) -%}\n            {%- do tbl_relations.append(tbl_relation) -%}\n        {%- endfor -%}\n\n        {{ return(tbl_relations) }}\n    {%- else -%}\n        {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.get_tables_by_prefix_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.505131, "supported_languages": null}, "macro.dbt_utils.get_tables_by_prefix_sql": {"name": "get_tables_by_prefix_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_prefix_sql.sql", "original_file_path": "macros/sql/get_tables_by_prefix_sql.sql", "unique_id": "macro.dbt_utils.get_tables_by_prefix_sql", "macro_sql": "{% macro get_tables_by_prefix_sql(schema, prefix, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_tables_by_prefix_sql', 'dbt_utils')(schema, prefix, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_tables_by_prefix_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5055559, "supported_languages": null}, "macro.dbt_utils.default__get_tables_by_prefix_sql": {"name": "default__get_tables_by_prefix_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_prefix_sql.sql", "original_file_path": "macros/sql/get_tables_by_prefix_sql.sql", "unique_id": "macro.dbt_utils.default__get_tables_by_prefix_sql", "macro_sql": "{% macro default__get_tables_by_prefix_sql(schema, prefix, exclude='', database=target.database) %}\n\n    {{ dbt_utils.get_tables_by_pattern_sql(\n        schema_pattern = schema,\n        table_pattern = prefix ~ '%',\n        exclude = exclude,\n        database = database\n    ) }}\n    \n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.50586, "supported_languages": null}, "macro.dbt_utils.star": {"name": "star", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/star.sql", "original_file_path": "macros/sql/star.sql", "unique_id": "macro.dbt_utils.star", "macro_sql": "{% macro star(from, relation_alias=False, except=[], prefix='', suffix='', quote_identifiers=True) -%}\r\n    {{ return(adapter.dispatch('star', 'dbt_utils')(from, relation_alias, except, prefix, suffix, quote_identifiers)) }}\r\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__star"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.507178, "supported_languages": null}, "macro.dbt_utils.default__star": {"name": "default__star", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/star.sql", "original_file_path": "macros/sql/star.sql", "unique_id": "macro.dbt_utils.default__star", "macro_sql": "{% macro default__star(from, relation_alias=False, except=[], prefix='', suffix='', quote_identifiers=True) -%}\r\n    {%- do dbt_utils._is_relation(from, 'star') -%}\r\n    {%- do dbt_utils._is_ephemeral(from, 'star') -%}\r\n\r\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\r\n    {%- if not execute -%}\r\n        {% do return('*') %}\r\n    {%- endif -%}\r\n\r\n    {% set cols = dbt_utils.get_filtered_columns_in_relation(from, except) %}\r\n\r\n    {%- if cols|length <= 0 -%}\r\n        {% if flags.WHICH == 'compile' %}\r\n            {% set response %}\r\n*\r\n/* No columns were returned. Maybe the relation doesn't exist yet \r\nor all columns were excluded. This star is only output during  \r\ndbt compile, and exists to keep SQLFluff happy. */\r\n            {% endset %}\r\n            {% do return(response) %}\r\n        {% else %}\r\n            {% do return(\"/* no columns returned from star() macro */\") %}\r\n        {% endif %}\r\n    {%- else -%}\r\n        {%- for col in cols %}\r\n            {%- if relation_alias %}{{ relation_alias }}.{% else %}{%- endif -%}\r\n                {%- if quote_identifiers -%}\r\n                    {{ adapter.quote(col)|trim }} {%- if prefix!='' or suffix!='' %} as {{ adapter.quote(prefix ~ col ~ suffix)|trim }} {%- endif -%}\r\n                {%- else -%}\r\n                    {{ col|trim }} {%- if prefix!='' or suffix!='' %} as {{ (prefix ~ col ~ suffix)|trim }} {%- endif -%}\r\n                {% endif %}\r\n            {%- if not loop.last %},{{ '\\n  ' }}{%- endif -%}\r\n        {%- endfor -%}\r\n    {% endif %}\r\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.get_filtered_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.508669, "supported_languages": null}, "macro.dbt_utils.unpivot": {"name": "unpivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/unpivot.sql", "original_file_path": "macros/sql/unpivot.sql", "unique_id": "macro.dbt_utils.unpivot", "macro_sql": "{% macro unpivot(relation=none, cast_to='varchar', exclude=none, remove=none, field_name='field_name', value_name='value') -%}\n    {{ return(adapter.dispatch('unpivot', 'dbt_utils')(relation, cast_to, exclude, remove, field_name, value_name)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__unpivot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.510059, "supported_languages": null}, "macro.dbt_utils.default__unpivot": {"name": "default__unpivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/unpivot.sql", "original_file_path": "macros/sql/unpivot.sql", "unique_id": "macro.dbt_utils.default__unpivot", "macro_sql": "{% macro default__unpivot(relation=none, cast_to='varchar', exclude=none, remove=none, field_name='field_name', value_name='value') -%}\n\n    {% if not relation %}\n        {{ exceptions.raise_compiler_error(\"Error: argument `relation` is required for `unpivot` macro.\") }}\n    {% endif %}\n\n  {%- set exclude = exclude if exclude is not none else [] %}\n  {%- set remove = remove if remove is not none else [] %}\n\n  {%- set include_cols = [] %}\n\n  {%- set table_columns = {} %}\n\n  {%- do table_columns.update({relation: []}) %}\n\n  {%- do dbt_utils._is_relation(relation, 'unpivot') -%}\n  {%- do dbt_utils._is_ephemeral(relation, 'unpivot') -%}\n  {%- set cols = adapter.get_columns_in_relation(relation) %}\n\n  {%- for col in cols -%}\n    {%- if col.column.lower() not in remove|map('lower') and col.column.lower() not in exclude|map('lower') -%}\n      {% do include_cols.append(col) %}\n    {%- endif %}\n  {%- endfor %}\n\n\n  {%- for col in include_cols -%}\n    select\n      {%- for exclude_col in exclude %}\n        {{ exclude_col }},\n      {%- endfor %}\n\n      cast('{{ col.column }}' as {{ dbt.type_string() }}) as {{ field_name }},\n      cast(  {% if col.data_type == 'boolean' %}\n           {{ dbt.cast_bool_to_text(col.column) }}\n             {% else %}\n           {{ col.column }}\n             {% endif %}\n           as {{ cast_to }}) as {{ value_name }}\n\n    from {{ relation }}\n\n    {% if not loop.last -%}\n      union all\n    {% endif -%}\n  {%- endfor -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.type_string", "macro.dbt.cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5118, "supported_languages": null}, "macro.dbt_utils.safe_divide": {"name": "safe_divide", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_divide.sql", "original_file_path": "macros/sql/safe_divide.sql", "unique_id": "macro.dbt_utils.safe_divide", "macro_sql": "{% macro safe_divide(numerator, denominator) -%}\n  {{ return(adapter.dispatch('safe_divide', 'dbt_utils')(numerator, denominator)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_divide"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.512106, "supported_languages": null}, "macro.dbt_utils.default__safe_divide": {"name": "default__safe_divide", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_divide.sql", "original_file_path": "macros/sql/safe_divide.sql", "unique_id": "macro.dbt_utils.default__safe_divide", "macro_sql": "{% macro default__safe_divide(numerator, denominator) %}\n    ( {{ numerator }} ) / nullif( ( {{ denominator }} ), 0)\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5122519, "supported_languages": null}, "macro.dbt_utils.union_relations": {"name": "union_relations", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/union.sql", "original_file_path": "macros/sql/union.sql", "unique_id": "macro.dbt_utils.union_relations", "macro_sql": "{%- macro union_relations(relations, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_relation', where=none) -%}\n    {{ return(adapter.dispatch('union_relations', 'dbt_utils')(relations, column_override, include, exclude, source_column_name, where)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__union_relations"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.515563, "supported_languages": null}, "macro.dbt_utils.default__union_relations": {"name": "default__union_relations", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/union.sql", "original_file_path": "macros/sql/union.sql", "unique_id": "macro.dbt_utils.default__union_relations", "macro_sql": "\n\n{%- macro default__union_relations(relations, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_relation', where=none) -%}\n\n    {%- if exclude and include -%}\n        {{ exceptions.raise_compiler_error(\"Both an exclude and include list were provided to the `union` macro. Only one is allowed\") }}\n    {%- endif -%}\n\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. -#}\n    {%- if not execute %}\n        {{ return('') }}\n    {% endif -%}\n\n    {%- set column_override = column_override if column_override is not none else {} -%}\n\n    {%- set relation_columns = {} -%}\n    {%- set column_superset = {} -%}\n    {%- set all_excludes = [] -%}\n    {%- set all_includes = [] -%}\n\n    {%- if exclude -%}\n        {%- for exc in exclude -%}\n            {%- do all_excludes.append(exc | lower) -%}\n        {%- endfor -%}\n    {%- endif -%}\n\n    {%- if include -%}\n        {%- for inc in include -%}\n            {%- do all_includes.append(inc | lower) -%}\n        {%- endfor -%}\n    {%- endif -%}\n\n    {%- for relation in relations -%}\n\n        {%- do relation_columns.update({relation: []}) -%}\n\n        {%- do dbt_utils._is_relation(relation, 'union_relations') -%}\n        {%- do dbt_utils._is_ephemeral(relation, 'union_relations') -%}\n        {%- set cols = adapter.get_columns_in_relation(relation) -%}\n        {%- for col in cols -%}\n\n        {#- If an exclude list was provided and the column is in the list, do nothing -#}\n        {%- if exclude and col.column | lower in all_excludes -%}\n\n        {#- If an include list was provided and the column is not in the list, do nothing -#}\n        {%- elif include and col.column | lower not in all_includes -%}\n\n        {#- Otherwise add the column to the column superset -#}\n        {%- else -%}\n\n            {#- update the list of columns in this relation -#}\n            {%- do relation_columns[relation].append(col.column) -%}\n\n            {%- if col.column in column_superset -%}\n\n                {%- set stored = column_superset[col.column] -%}\n                {%- if col.is_string() and stored.is_string() and col.string_size() > stored.string_size() -%}\n\n                    {%- do column_superset.update({col.column: col}) -%}\n\n                {%- endif %}\n\n            {%- else -%}\n\n                {%- do column_superset.update({col.column: col}) -%}\n\n            {%- endif -%}\n\n        {%- endif -%}\n\n        {%- endfor -%}\n    {%- endfor -%}\n\n    {%- set ordered_column_names = column_superset.keys() -%}\n    {%- set dbt_command = flags.WHICH -%}\n\n\n    {% if dbt_command in ['run', 'build'] %}\n    {% if (include | length > 0 or exclude | length > 0) and not column_superset.keys() %}\n        {%- set relations_string -%}\n            {%- for relation in relations -%}\n                {{ relation.name }}\n            {%- if not loop.last %}, {% endif -%}\n            {%- endfor -%}\n        {%- endset -%}\n\n        {%- set error_message -%}\n            There were no columns found to union for relations {{ relations_string }}\n        {%- endset -%}\n\n        {{ exceptions.raise_compiler_error(error_message) }}\n    {%- endif -%}\n    {%- endif -%}\n\n    {%- for relation in relations %}\n\n        (\n            select\n\n                {%- if source_column_name is not none %}\n                cast({{ dbt.string_literal(relation) }} as {{ dbt.type_string() }}) as {{ source_column_name }},\n                {%- endif %}\n\n                {% for col_name in ordered_column_names -%}\n\n                    {%- set col = column_superset[col_name] %}\n                    {%- set col_type = column_override.get(col.column, col.data_type) %}\n                    {%- set col_name = adapter.quote(col_name) if col_name in relation_columns[relation] else 'null' %}\n                    cast({{ col_name }} as {{ col_type }}) as {{ col.quoted }} {% if not loop.last %},{% endif -%}\n\n                {%- endfor %}\n\n            from {{ relation }}\n\n            {% if where -%}\n            where {{ where }}\n            {%- endif %}\n        )\n\n        {% if not loop.last -%}\n            union all\n        {% endif -%}\n\n    {%- endfor -%}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.string_literal", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5191941, "supported_languages": null}, "macro.dbt_utils.group_by": {"name": "group_by", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/groupby.sql", "original_file_path": "macros/sql/groupby.sql", "unique_id": "macro.dbt_utils.group_by", "macro_sql": "{%- macro group_by(n) -%}\n    {{ return(adapter.dispatch('group_by', 'dbt_utils')(n)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__group_by"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.519509, "supported_languages": null}, "macro.dbt_utils.default__group_by": {"name": "default__group_by", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/groupby.sql", "original_file_path": "macros/sql/groupby.sql", "unique_id": "macro.dbt_utils.default__group_by", "macro_sql": "\n\n{%- macro default__group_by(n) -%}\n\n  group by {% for i in range(1, n + 1) -%}\n      {{ i }}{{ ',' if not loop.last }}   \n   {%- endfor -%}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.519773, "supported_languages": null}, "macro.dbt_utils.deduplicate": {"name": "deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.deduplicate", "macro_sql": "{%- macro deduplicate(relation, partition_by, order_by) -%}\n    {{ return(adapter.dispatch('deduplicate', 'dbt_utils')(relation, partition_by, order_by)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.bigquery__deduplicate"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5205262, "supported_languages": null}, "macro.dbt_utils.default__deduplicate": {"name": "default__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.default__deduplicate", "macro_sql": "\n\n{%- macro default__deduplicate(relation, partition_by, order_by) -%}\n\n    with row_numbered as (\n        select\n            _inner.*,\n            row_number() over (\n                partition by {{ partition_by }}\n                order by {{ order_by }}\n            ) as rn\n        from {{ relation }} as _inner\n    )\n\n    select\n        distinct data.*\n    from {{ relation }} as data\n    {#\n    -- Not all DBs will support natural joins but the ones that do include:\n    -- Oracle, MySQL, SQLite, Redshift, Teradata, Materialize, Databricks\n    -- Apache Spark, SingleStore, Vertica\n    -- Those that do not appear to support natural joins include:\n    -- SQLServer, Trino, Presto, Rockset, Athena\n    #}\n    natural join row_numbered\n    where row_numbered.rn = 1\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.520753, "supported_languages": null}, "macro.dbt_utils.redshift__deduplicate": {"name": "redshift__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.redshift__deduplicate", "macro_sql": "{% macro redshift__deduplicate(relation, partition_by, order_by) -%}\n\n    {{ return(dbt_utils.default__deduplicate(relation, partition_by, order_by=order_by)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__deduplicate"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5209658, "supported_languages": null}, "macro.dbt_utils.postgres__deduplicate": {"name": "postgres__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.postgres__deduplicate", "macro_sql": "\n{%- macro postgres__deduplicate(relation, partition_by, order_by) -%}\n\n    select\n        distinct on ({{ partition_by }}) *\n    from {{ relation }}\n    order by {{ partition_by }}{{ ',' ~ order_by }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.521166, "supported_languages": null}, "macro.dbt_utils.snowflake__deduplicate": {"name": "snowflake__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.snowflake__deduplicate", "macro_sql": "\n{%- macro snowflake__deduplicate(relation, partition_by, order_by) -%}\n\n    select *\n    from {{ relation }}\n    qualify\n        row_number() over (\n            partition by {{ partition_by }}\n            order by {{ order_by }}\n        ) = 1\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.521346, "supported_languages": null}, "macro.dbt_utils.bigquery__deduplicate": {"name": "bigquery__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.bigquery__deduplicate", "macro_sql": "\n{%- macro bigquery__deduplicate(relation, partition_by, order_by) -%}\n\n    select unique.*\n    from (\n        select\n            array_agg (\n                original\n                order by {{ order_by }}\n                limit 1\n            )[offset(0)] unique\n        from {{ relation }} original\n        group by {{ partition_by }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.521525, "supported_languages": null}, "macro.dbt_utils.surrogate_key": {"name": "surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/surrogate_key.sql", "original_file_path": "macros/sql/surrogate_key.sql", "unique_id": "macro.dbt_utils.surrogate_key", "macro_sql": "{%- macro surrogate_key(field_list) -%}\n    {% set frustrating_jinja_feature = varargs %}\n    {{ return(adapter.dispatch('surrogate_key', 'dbt_utils')(field_list, *varargs)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__surrogate_key"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5219269, "supported_languages": null}, "macro.dbt_utils.default__surrogate_key": {"name": "default__surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/surrogate_key.sql", "original_file_path": "macros/sql/surrogate_key.sql", "unique_id": "macro.dbt_utils.default__surrogate_key", "macro_sql": "\n\n{%- macro default__surrogate_key(field_list) -%}\n\n{%- set error_message = '\nWarning: `dbt_utils.surrogate_key` has been replaced by \\\n`dbt_utils.generate_surrogate_key`. The new macro treats null values \\\ndifferently to empty strings. To restore the behaviour of the original \\\nmacro, add a global variable in dbt_project.yml called \\\n`surrogate_key_treat_nulls_as_empty_strings` to your \\\ndbt_project.yml file with a value of True. \\\nThe {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.raise_compiler_error(error_message) -%}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.522175, "supported_languages": null}, "macro.dbt_utils.safe_add": {"name": "safe_add", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_add.sql", "original_file_path": "macros/sql/safe_add.sql", "unique_id": "macro.dbt_utils.safe_add", "macro_sql": "{%- macro safe_add(field_list) -%}\n    {{ return(adapter.dispatch('safe_add', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_add"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.522569, "supported_languages": null}, "macro.dbt_utils.default__safe_add": {"name": "default__safe_add", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_add.sql", "original_file_path": "macros/sql/safe_add.sql", "unique_id": "macro.dbt_utils.default__safe_add", "macro_sql": "\n\n{%- macro default__safe_add(field_list) -%}\n\n{%- if field_list is not iterable or field_list is string or field_list is mapping -%}\n\n{%- set error_message = '\nWarning: the `safe_add` macro now takes a single list argument instead of \\\nstring arguments. The {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.warn(error_message) -%}\n\n{%- endif -%}\n\n{% set fields = [] %}\n\n{%- for field in field_list -%}\n\n    {% do fields.append(\"coalesce(\" ~ field ~ \", 0)\") %}\n\n{%- endfor -%}\n\n{{ fields|join(' +\\n  ') }}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.523133, "supported_languages": null}, "macro.dbt_utils.nullcheck": {"name": "nullcheck", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck.sql", "original_file_path": "macros/sql/nullcheck.sql", "unique_id": "macro.dbt_utils.nullcheck", "macro_sql": "{% macro nullcheck(cols) %}\n    {{ return(adapter.dispatch('nullcheck', 'dbt_utils')(cols)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__nullcheck"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.523484, "supported_languages": null}, "macro.dbt_utils.default__nullcheck": {"name": "default__nullcheck", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck.sql", "original_file_path": "macros/sql/nullcheck.sql", "unique_id": "macro.dbt_utils.default__nullcheck", "macro_sql": "{% macro default__nullcheck(cols) %}\n{%- for col in cols %}\n\n    {% if col.is_string() -%}\n\n    nullif({{col.name}},'') as {{col.name}}\n\n    {%- else -%}\n\n    {{col.name}}\n\n    {%- endif -%}\n\n{%- if not loop.last -%} , {%- endif -%}\n\n{%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.523833, "supported_languages": null}, "macro.dbt_utils.get_tables_by_pattern_sql": {"name": "get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.get_tables_by_pattern_sql", "macro_sql": "{% macro get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_tables_by_pattern_sql', 'dbt_utils')\n        (schema_pattern, table_pattern, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.bigquery__get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.525601, "supported_languages": null}, "macro.dbt_utils.default__get_tables_by_pattern_sql": {"name": "default__get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.default__get_tables_by_pattern_sql", "macro_sql": "{% macro default__get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n        select distinct\n            table_schema as {{ adapter.quote('table_schema') }},\n            table_name as {{ adapter.quote('table_name') }},\n            {{ dbt_utils.get_table_types_sql() }}\n        from {{ database }}.information_schema.tables\n        where table_schema ilike '{{ schema_pattern }}'\n        and table_name ilike '{{ table_pattern }}'\n        and table_name not ilike '{{ exclude }}'\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.525983, "supported_languages": null}, "macro.dbt_utils.bigquery__get_tables_by_pattern_sql": {"name": "bigquery__get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.bigquery__get_tables_by_pattern_sql", "macro_sql": "{% macro bigquery__get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {% if '%' in schema_pattern %}\n        {% set schemata=dbt_utils._bigquery__get_matching_schemata(schema_pattern, database) %}\n    {% else %}\n        {% set schemata=[schema_pattern] %}\n    {% endif %}\n\n    {% set sql %}\n        {% for schema in schemata %}\n            select distinct\n                table_schema,\n                table_name,\n                {{ dbt_utils.get_table_types_sql() }}\n\n            from {{ adapter.quote(database) }}.{{ schema }}.INFORMATION_SCHEMA.TABLES\n            where lower(table_name) like lower ('{{ table_pattern }}')\n                and lower(table_name) not like lower ('{{ exclude }}')\n\n            {% if not loop.last %} union all {% endif %}\n\n        {% endfor %}\n    {% endset %}\n\n    {{ return(sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._bigquery__get_matching_schemata", "macro.dbt_utils.get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.526795, "supported_languages": null}, "macro.dbt_utils._bigquery__get_matching_schemata": {"name": "_bigquery__get_matching_schemata", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils._bigquery__get_matching_schemata", "macro_sql": "{% macro _bigquery__get_matching_schemata(schema_pattern, database) %}\n    {% if execute %}\n\n        {% set sql %}\n        select schema_name from {{ adapter.quote(database) }}.INFORMATION_SCHEMA.SCHEMATA\n        where lower(schema_name) like lower('{{ schema_pattern }}')\n        {% endset %}\n\n        {% set results=run_query(sql) %}\n\n        {% set schemata=results.columns['schema_name'].values() %}\n\n        {{ return(schemata) }}\n\n    {% else %}\n\n        {{ return([]) }}\n\n    {% endif %}\n\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.527327, "supported_languages": null}, "macro.dbt_utils.get_column_values": {"name": "get_column_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_column_values.sql", "original_file_path": "macros/sql/get_column_values.sql", "unique_id": "macro.dbt_utils.get_column_values", "macro_sql": "{% macro get_column_values(table, column, order_by='count(*) desc', max_records=none, default=none, where=none) -%}\n    {{ return(adapter.dispatch('get_column_values', 'dbt_utils')(table, column, order_by, max_records, default, where)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_column_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5284941, "supported_languages": null}, "macro.dbt_utils.default__get_column_values": {"name": "default__get_column_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_column_values.sql", "original_file_path": "macros/sql/get_column_values.sql", "unique_id": "macro.dbt_utils.default__get_column_values", "macro_sql": "{% macro default__get_column_values(table, column, order_by='count(*) desc', max_records=none, default=none, where=none) -%}\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n    {%- if not execute -%}\n        {% set default = [] if not default %}\n        {{ return(default) }}\n    {% endif %}\n\n    {%- do dbt_utils._is_ephemeral(table, 'get_column_values') -%}\n\n    {# Not all relations are tables. Renaming for internal clarity without breaking functionality for anyone using named arguments #}\n    {# TODO: Change the method signature in a future 0.x.0 release #}\n    {%- set target_relation = table -%}\n\n    {# adapter.load_relation is a convenience wrapper to avoid building a Relation when we already have one #}\n    {% set relation_exists = (load_relation(target_relation)) is not none %}\n\n    {%- call statement('get_column_values', fetch_result=true) %}\n\n        {%- if not relation_exists and default is none -%}\n\n          {{ exceptions.raise_compiler_error(\"In get_column_values(): relation \" ~ target_relation ~ \" does not exist and no default value was provided.\") }}\n\n        {%- elif not relation_exists and default is not none -%}\n\n          {{ log(\"Relation \" ~ target_relation ~ \" does not exist. Returning the default value: \" ~ default) }}\n\n          {{ return(default) }}\n\n        {%- else -%}\n\n\n            select\n                {{ column }} as value\n\n            from {{ target_relation }}\n\n            {% if where is not none %}\n            where {{ where }}\n            {% endif %}\n\n            group by {{ column }}\n            order by {{ order_by }}\n\n            {% if max_records is not none %}\n            limit {{ max_records }}\n            {% endif %}\n\n        {% endif %}\n\n    {%- endcall -%}\n\n    {%- set value_list = load_result('get_column_values') -%}\n\n    {%- if value_list and value_list['data'] -%}\n        {%- set values = value_list['data'] | map(attribute=0) | list %}\n        {{ return(values) }}\n    {%- else -%}\n        {{ return(default) }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_ephemeral", "macro.dbt.load_relation", "macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5300832, "supported_languages": null}, "macro.dbt_utils.pivot": {"name": "pivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/pivot.sql", "original_file_path": "macros/sql/pivot.sql", "unique_id": "macro.dbt_utils.pivot", "macro_sql": "{% macro pivot(column,\n               values,\n               alias=True,\n               agg='sum',\n               cmp='=',\n               prefix='',\n               suffix='',\n               then_value=1,\n               else_value=0,\n               quote_identifiers=True,\n               distinct=False) %}\n    {{ return(adapter.dispatch('pivot', 'dbt_utils')(column, values, alias, agg, cmp, prefix, suffix, then_value, else_value, quote_identifiers, distinct)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pivot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5311732, "supported_languages": null}, "macro.dbt_utils.default__pivot": {"name": "default__pivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/pivot.sql", "original_file_path": "macros/sql/pivot.sql", "unique_id": "macro.dbt_utils.default__pivot", "macro_sql": "{% macro default__pivot(column,\n               values,\n               alias=True,\n               agg='sum',\n               cmp='=',\n               prefix='',\n               suffix='',\n               then_value=1,\n               else_value=0,\n               quote_identifiers=True,\n               distinct=False) %}\n  {% for value in values %}\n    {{ agg }}(\n      {% if distinct %} distinct {% endif %}\n      case\n      when {{ column }} {{ cmp }} '{{ dbt.escape_single_quotes(value) }}'\n        then {{ then_value }}\n      else {{ else_value }}\n      end\n    )\n    {% if alias %}\n      {% if quote_identifiers %}\n            as {{ adapter.quote(prefix ~ value ~ suffix) }}\n      {% else %}\n        as {{ dbt_utils.slugify(prefix ~ value ~ suffix) }}\n      {% endif %}\n    {% endif %}\n    {% if not loop.last %},{% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.escape_single_quotes", "macro.dbt_utils.slugify"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.532067, "supported_languages": null}, "macro.dbt_utils.get_filtered_columns_in_relation": {"name": "get_filtered_columns_in_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_filtered_columns_in_relation.sql", "original_file_path": "macros/sql/get_filtered_columns_in_relation.sql", "unique_id": "macro.dbt_utils.get_filtered_columns_in_relation", "macro_sql": "{% macro get_filtered_columns_in_relation(from, except=[]) -%}\n    {{ return(adapter.dispatch('get_filtered_columns_in_relation', 'dbt_utils')(from, except)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_filtered_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5325608, "supported_languages": null}, "macro.dbt_utils.default__get_filtered_columns_in_relation": {"name": "default__get_filtered_columns_in_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_filtered_columns_in_relation.sql", "original_file_path": "macros/sql/get_filtered_columns_in_relation.sql", "unique_id": "macro.dbt_utils.default__get_filtered_columns_in_relation", "macro_sql": "{% macro default__get_filtered_columns_in_relation(from, except=[]) -%}\n    {%- do dbt_utils._is_relation(from, 'get_filtered_columns_in_relation') -%}\n    {%- do dbt_utils._is_ephemeral(from, 'get_filtered_columns_in_relation') -%}\n\n    {# -- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n    {%- if not execute -%}\n        {{ return('') }}\n    {% endif %}\n\n    {%- set include_cols = [] %}\n    {%- set cols = adapter.get_columns_in_relation(from) -%}\n    {%- set except = except | map(\"lower\") | list %}\n    {%- for col in cols -%}\n        {%- if col.column|lower not in except -%}\n            {% do include_cols.append(col.column) %}\n        {%- endif %}\n    {%- endfor %}\n\n    {{ return(include_cols) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.533325, "supported_languages": null}, "macro.dbt_utils.width_bucket": {"name": "width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.width_bucket", "macro_sql": "{% macro width_bucket(expr, min_value, max_value, num_buckets) %}\n  {{ return(adapter.dispatch('width_bucket', 'dbt_utils') (expr, min_value, max_value, num_buckets)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__width_bucket"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.534116, "supported_languages": null}, "macro.dbt_utils.default__width_bucket": {"name": "default__width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.default__width_bucket", "macro_sql": "{% macro default__width_bucket(expr, min_value, max_value, num_buckets) -%}\n\n    {% set bin_size -%}\n    (( {{ max_value }} - {{ min_value }} ) / {{ num_buckets }} )\n    {%- endset %}\n    (\n        -- to break ties when the amount is eaxtly at the bucket egde\n        case\n            when\n                mod(\n                    {{ dbt.safe_cast(expr, dbt.type_numeric() ) }},\n                    {{ dbt.safe_cast(bin_size, dbt.type_numeric() ) }}\n                ) = 0\n            then 1\n            else 0\n        end\n    ) +\n      -- Anything over max_value goes the N+1 bucket\n    least(\n        ceil(\n            ({{ expr }} - {{ min_value }})/{{ bin_size }}\n        ),\n        {{ num_buckets }} + 1\n    )\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.safe_cast", "macro.dbt.type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5346072, "supported_languages": null}, "macro.dbt_utils.snowflake__width_bucket": {"name": "snowflake__width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.snowflake__width_bucket", "macro_sql": "{% macro snowflake__width_bucket(expr, min_value, max_value, num_buckets) %}\n    width_bucket({{ expr }}, {{ min_value }}, {{ max_value }}, {{ num_buckets }} )\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5348082, "supported_languages": null}, "macro.dbt_utils.get_query_results_as_dict": {"name": "get_query_results_as_dict", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_query_results_as_dict.sql", "original_file_path": "macros/sql/get_query_results_as_dict.sql", "unique_id": "macro.dbt_utils.get_query_results_as_dict", "macro_sql": "{% macro get_query_results_as_dict(query) %}\n    {{ return(adapter.dispatch('get_query_results_as_dict', 'dbt_utils')(query)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_query_results_as_dict"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.535208, "supported_languages": null}, "macro.dbt_utils.default__get_query_results_as_dict": {"name": "default__get_query_results_as_dict", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_query_results_as_dict.sql", "original_file_path": "macros/sql/get_query_results_as_dict.sql", "unique_id": "macro.dbt_utils.default__get_query_results_as_dict", "macro_sql": "{% macro default__get_query_results_as_dict(query) %}\n\n{# This macro returns a dictionary of the form {column_name: (tuple_of_results)} #}\n\n    {%- call statement('get_query_results', fetch_result=True,auto_begin=false) -%}\n\n        {{ query }}\n\n    {%- endcall -%}\n\n    {% set sql_results={} %}\n\n    {%- if execute -%}\n        {% set sql_results_table = load_result('get_query_results').table.columns %}\n        {% for column_name, column in sql_results_table.items() %}\n            {% do sql_results.update({column_name: column.values()}) %}\n        {% endfor %}\n    {%- endif -%}\n\n    {{ return(sql_results) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5358331, "supported_languages": null}, "macro.dbt_utils.generate_surrogate_key": {"name": "generate_surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_surrogate_key.sql", "original_file_path": "macros/sql/generate_surrogate_key.sql", "unique_id": "macro.dbt_utils.generate_surrogate_key", "macro_sql": "{%- macro generate_surrogate_key(field_list) -%}\n    {{ return(adapter.dispatch('generate_surrogate_key', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__generate_surrogate_key"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.536305, "supported_languages": null}, "macro.dbt_utils.default__generate_surrogate_key": {"name": "default__generate_surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_surrogate_key.sql", "original_file_path": "macros/sql/generate_surrogate_key.sql", "unique_id": "macro.dbt_utils.default__generate_surrogate_key", "macro_sql": "\n\n{%- macro default__generate_surrogate_key(field_list) -%}\n\n{%- if var('surrogate_key_treat_nulls_as_empty_strings', False) -%}\n    {%- set default_null_value = \"\" -%}\n{%- else -%}\n    {%- set default_null_value = '_dbt_utils_surrogate_key_null_' -%}\n{%- endif -%}\n\n{%- set fields = [] -%}\n\n{%- for field in field_list -%}\n\n    {%- do fields.append(\n        \"coalesce(cast(\" ~ field ~ \" as \" ~ dbt.type_string() ~ \"), '\" ~ default_null_value  ~\"')\"\n    ) -%}\n\n    {%- if not loop.last %}\n        {%- do fields.append(\"'-'\") -%}\n    {%- endif -%}\n\n{%- endfor -%}\n\n{{ dbt.hash(dbt.concat(fields)) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.hash", "macro.dbt.concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.536963, "supported_languages": null}, "macro.dbt_utils.get_table_types_sql": {"name": "get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.get_table_types_sql", "macro_sql": "{%- macro get_table_types_sql() -%}\n  {{ return(adapter.dispatch('get_table_types_sql', 'dbt_utils')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_utils.default__get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.537496, "supported_languages": null}, "macro.dbt_utils.default__get_table_types_sql": {"name": "default__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.default__get_table_types_sql", "macro_sql": "{% macro default__get_table_types_sql() %}\n            case table_type\n                when 'BASE TABLE' then 'table'\n                when 'EXTERNAL TABLE' then 'external'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5376441, "supported_languages": null}, "macro.dbt_utils.postgres__get_table_types_sql": {"name": "postgres__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.postgres__get_table_types_sql", "macro_sql": "{% macro postgres__get_table_types_sql() %}\n            case table_type\n                when 'BASE TABLE' then 'table'\n                when 'FOREIGN' then 'external'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5377889, "supported_languages": null}, "macro.dbt_utils.databricks__get_table_types_sql": {"name": "databricks__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.databricks__get_table_types_sql", "macro_sql": "{% macro databricks__get_table_types_sql() %}\n            case table_type\n                when 'MANAGED' then 'table'\n                when 'BASE TABLE' then 'table'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5379379, "supported_languages": null}, "macro.dbt_utils.get_single_value": {"name": "get_single_value", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_single_value.sql", "original_file_path": "macros/sql/get_single_value.sql", "unique_id": "macro.dbt_utils.get_single_value", "macro_sql": "{% macro get_single_value(query, default=none) %}\n    {{ return(adapter.dispatch('get_single_value', 'dbt_utils')(query, default)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_single_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.538469, "supported_languages": null}, "macro.dbt_utils.default__get_single_value": {"name": "default__get_single_value", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_single_value.sql", "original_file_path": "macros/sql/get_single_value.sql", "unique_id": "macro.dbt_utils.default__get_single_value", "macro_sql": "{% macro default__get_single_value(query, default) %}\n\n{# This macro returns the (0, 0) record in a query, i.e. the first row of the first column #}\n\n    {%- call statement('get_query_result', fetch_result=True, auto_begin=false) -%}\n\n        {{ query }}\n\n    {%- endcall -%}\n\n    {%- if execute -%}\n\n        {% set r = load_result('get_query_result').table.columns[0].values() %}\n        {% if r | length == 0 %}\n            {% do print('Query `' ~ query ~ '` returned no rows. Using the default value: ' ~ default) %}\n            {% set sql_result = default %}\n        {% else %}\n            {% set sql_result = r[0] %}\n        {% endif %}\n        \n    {%- else -%}\n    \n        {% set sql_result = default %}\n    \n    {%- endif -%}\n\n    {% do return(sql_result) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.539307, "supported_languages": null}, "macro.dbt_utils.degrees_to_radians": {"name": "degrees_to_radians", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.degrees_to_radians", "macro_sql": "{% macro degrees_to_radians(degrees) -%}\n    acos(-1) * {{degrees}} / 180\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.540409, "supported_languages": null}, "macro.dbt_utils.haversine_distance": {"name": "haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.haversine_distance", "macro_sql": "{% macro haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n    {{ return(adapter.dispatch('haversine_distance', 'dbt_utils')(lat1,lon1,lat2,lon2,unit)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.bigquery__haversine_distance"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5407, "supported_languages": null}, "macro.dbt_utils.default__haversine_distance": {"name": "default__haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.default__haversine_distance", "macro_sql": "{% macro default__haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n{%- if unit == 'mi' %}\n    {% set conversion_rate = 1 %}\n{% elif unit == 'km' %}\n    {% set conversion_rate = 1.60934 %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\"unit input must be one of 'mi' or 'km'. Got \" ~ unit) }}\n{% endif %}\n\n    2 * 3961 * asin(sqrt(power((sin(radians(({{ lat2 }} - {{ lat1 }}) / 2))), 2) +\n    cos(radians({{lat1}})) * cos(radians({{lat2}})) *\n    power((sin(radians(({{ lon2 }} - {{ lon1 }}) / 2))), 2))) * {{ conversion_rate }}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.541634, "supported_languages": null}, "macro.dbt_utils.bigquery__haversine_distance": {"name": "bigquery__haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.bigquery__haversine_distance", "macro_sql": "{% macro bigquery__haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n{% set radians_lat1 = dbt_utils.degrees_to_radians(lat1) %}\n{% set radians_lat2 = dbt_utils.degrees_to_radians(lat2) %}\n{% set radians_lon1 = dbt_utils.degrees_to_radians(lon1) %}\n{% set radians_lon2 = dbt_utils.degrees_to_radians(lon2) %}\n{%- if unit == 'mi' %}\n    {% set conversion_rate = 1 %}\n{% elif unit == 'km' %}\n    {% set conversion_rate = 1.60934 %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\"unit input must be one of 'mi' or 'km'. Got \" ~ unit) }}\n{% endif %}\n    2 * 3961 * asin(sqrt(power(sin(({{ radians_lat2 }} - {{ radians_lat1 }}) / 2), 2) +\n    cos({{ radians_lat1 }}) * cos({{ radians_lat2 }}) *\n    power(sin(({{ radians_lon2 }} - {{ radians_lon1 }}) / 2), 2))) * {{ conversion_rate }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.degrees_to_radians"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.542489, "supported_languages": null}, "macro.spark_utils.get_tables": {"name": "get_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_tables", "macro_sql": "{% macro get_tables(table_regex_pattern='.*') %}\n\n  {% set tables = [] %}\n  {% for database in spark__list_schemas('not_used') %}\n    {% for table in spark__list_relations_without_caching(database[0]) %}\n      {% set db_tablename = database[0] ~ \".\" ~ table[1] %}\n      {% set is_match = modules.re.match(table_regex_pattern, db_tablename) %}\n      {% if is_match %}\n        {% call statement('table_detail', fetch_result=True) -%}\n          describe extended {{ db_tablename }}\n        {% endcall %}\n\n        {% set table_type = load_result('table_detail').table|reverse|selectattr(0, 'in', ('type', 'TYPE', 'Type'))|first %}\n        {% if table_type[1]|lower != 'view' %}\n          {{ tables.append(db_tablename) }}\n        {% endif %}\n      {% endif %}\n    {% endfor %}\n  {% endfor %}\n  {{ return(tables) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.547945, "supported_languages": null}, "macro.spark_utils.get_delta_tables": {"name": "get_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_delta_tables", "macro_sql": "{% macro get_delta_tables(table_regex_pattern='.*') %}\n\n  {% set delta_tables = [] %}\n  {% for db_tablename in get_tables(table_regex_pattern) %}\n    {% call statement('table_detail', fetch_result=True) -%}\n      describe extended {{ db_tablename }}\n    {% endcall %}\n\n    {% set table_type = load_result('table_detail').table|reverse|selectattr(0, 'in', ('provider', 'PROVIDER', 'Provider'))|first %}\n    {% if table_type[1]|lower == 'delta' %}\n      {{ delta_tables.append(db_tablename) }}\n    {% endif %}\n  {% endfor %}\n  {{ return(delta_tables) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_tables", "macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.548676, "supported_languages": null}, "macro.spark_utils.get_statistic_columns": {"name": "get_statistic_columns", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_statistic_columns", "macro_sql": "{% macro get_statistic_columns(table) %}\n\n  {% call statement('input_columns', fetch_result=True) %}\n    SHOW COLUMNS IN {{ table }}\n  {% endcall %}\n  {% set input_columns = load_result('input_columns').table %}\n\n  {% set output_columns = [] %}\n  {% for column in input_columns %}\n    {% call statement('column_information', fetch_result=True) %}\n      DESCRIBE TABLE {{ table }} `{{ column[0] }}`\n    {% endcall %}\n    {% if not load_result('column_information').table[1][1].startswith('struct') and not load_result('column_information').table[1][1].startswith('array')  %}\n      {{ output_columns.append('`' ~ column[0] ~ '`') }}\n    {% endif %}\n  {% endfor %}\n  {{ return(output_columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5496142, "supported_languages": null}, "macro.spark_utils.spark_optimize_delta_tables": {"name": "spark_optimize_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_optimize_delta_tables", "macro_sql": "{% macro spark_optimize_delta_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_delta_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Optimizing \" ~ table) }}\n    {% do run_query(\"optimize \" ~ table) %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_delta_tables", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5503922, "supported_languages": null}, "macro.spark_utils.spark_vacuum_delta_tables": {"name": "spark_vacuum_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_vacuum_delta_tables", "macro_sql": "{% macro spark_vacuum_delta_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_delta_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Vacuuming \" ~ table) }}\n    {% do run_query(\"vacuum \" ~ table) %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_delta_tables", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.551161, "supported_languages": null}, "macro.spark_utils.spark_analyze_tables": {"name": "spark_analyze_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_analyze_tables", "macro_sql": "{% macro spark_analyze_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set columns = get_statistic_columns(table) | join(',') %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Analyzing \" ~ table) }}\n    {% if columns != '' %}\n      {% do run_query(\"analyze table \" ~ table ~ \" compute statistics for columns \" ~ columns) %}\n    {% endif %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_tables", "macro.spark_utils.get_statistic_columns", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.552182, "supported_languages": null}, "macro.spark_utils.spark__concat": {"name": "spark__concat", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/concat.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/concat.sql", "unique_id": "macro.spark_utils.spark__concat", "macro_sql": "{% macro spark__concat(fields) -%}\n    concat({{ fields|join(', ') }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.552365, "supported_languages": null}, "macro.spark_utils.spark__type_numeric": {"name": "spark__type_numeric", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/datatypes.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/datatypes.sql", "unique_id": "macro.spark_utils.spark__type_numeric", "macro_sql": "{% macro spark__type_numeric() %}\n    decimal(28, 6)\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.552477, "supported_languages": null}, "macro.spark_utils.spark__dateadd": {"name": "spark__dateadd", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/dateadd.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/dateadd.sql", "unique_id": "macro.spark_utils.spark__dateadd", "macro_sql": "{% macro spark__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n    {%- set clock_component -%}\n        {# make sure the dates + timestamps are real, otherwise raise an error asap #}\n        to_unix_timestamp({{ spark_utils.assert_not_null('to_timestamp', from_date_or_timestamp) }})\n        - to_unix_timestamp({{ spark_utils.assert_not_null('date', from_date_or_timestamp) }})\n    {%- endset -%}\n\n    {%- if datepart in ['day', 'week'] -%}\n        \n        {%- set multiplier = 7 if datepart == 'week' else 1 -%}\n\n        to_timestamp(\n            to_unix_timestamp(\n                date_add(\n                    {{ spark_utils.assert_not_null('date', from_date_or_timestamp) }},\n                    cast({{interval}} * {{multiplier}} as int)\n                )\n            ) + {{clock_component}}\n        )\n\n    {%- elif datepart in ['month', 'quarter', 'year'] -%}\n    \n        {%- set multiplier -%} \n            {%- if datepart == 'month' -%} 1\n            {%- elif datepart == 'quarter' -%} 3\n            {%- elif datepart == 'year' -%} 12\n            {%- endif -%}\n        {%- endset -%}\n\n        to_timestamp(\n            to_unix_timestamp(\n                add_months(\n                    {{ spark_utils.assert_not_null('date', from_date_or_timestamp) }},\n                    cast({{interval}} * {{multiplier}} as int)\n                )\n            ) + {{clock_component}}\n        )\n\n    {%- elif datepart in ('hour', 'minute', 'second', 'millisecond', 'microsecond') -%}\n    \n        {%- set multiplier -%} \n            {%- if datepart == 'hour' -%} 3600\n            {%- elif datepart == 'minute' -%} 60\n            {%- elif datepart == 'second' -%} 1\n            {%- elif datepart == 'millisecond' -%} (1/1000000)\n            {%- elif datepart == 'microsecond' -%} (1/1000000)\n            {%- endif -%}\n        {%- endset -%}\n\n        to_timestamp(\n            {{ spark_utils.assert_not_null('to_unix_timestamp', from_date_or_timestamp) }}\n            + cast({{interval}} * {{multiplier}} as int)\n        )\n\n    {%- else -%}\n\n        {{ exceptions.raise_compiler_error(\"macro dateadd not implemented for datepart ~ '\" ~ datepart ~ \"' ~ on Spark\") }}\n\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.555462, "supported_languages": null}, "macro.spark_utils.spark__datediff": {"name": "spark__datediff", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/datediff.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/datediff.sql", "unique_id": "macro.spark_utils.spark__datediff", "macro_sql": "{% macro spark__datediff(first_date, second_date, datepart) %}\n\n    {%- if datepart in ['day', 'week', 'month', 'quarter', 'year'] -%}\n    \n        {# make sure the dates are real, otherwise raise an error asap #}\n        {% set first_date = spark_utils.assert_not_null('date', first_date) %}\n        {% set second_date = spark_utils.assert_not_null('date', second_date) %}\n    \n    {%- endif -%}\n    \n    {%- if datepart == 'day' -%}\n    \n        datediff({{second_date}}, {{first_date}})\n    \n    {%- elif datepart == 'week' -%}\n    \n        case when {{first_date}} < {{second_date}}\n            then floor(datediff({{second_date}}, {{first_date}})/7)\n            else ceil(datediff({{second_date}}, {{first_date}})/7)\n            end\n        \n        -- did we cross a week boundary (Sunday)?\n        + case\n            when {{first_date}} < {{second_date}} and dayofweek({{second_date}}) < dayofweek({{first_date}}) then 1\n            when {{first_date}} > {{second_date}} and dayofweek({{second_date}}) > dayofweek({{first_date}}) then -1\n            else 0 end\n\n    {%- elif datepart == 'month' -%}\n\n        case when {{first_date}} < {{second_date}}\n            then floor(months_between(date({{second_date}}), date({{first_date}})))\n            else ceil(months_between(date({{second_date}}), date({{first_date}})))\n            end\n        \n        -- did we cross a month boundary?\n        + case\n            when {{first_date}} < {{second_date}} and dayofmonth({{second_date}}) < dayofmonth({{first_date}}) then 1\n            when {{first_date}} > {{second_date}} and dayofmonth({{second_date}}) > dayofmonth({{first_date}}) then -1\n            else 0 end\n        \n    {%- elif datepart == 'quarter' -%}\n    \n        case when {{first_date}} < {{second_date}}\n            then floor(months_between(date({{second_date}}), date({{first_date}}))/3)\n            else ceil(months_between(date({{second_date}}), date({{first_date}}))/3)\n            end\n        \n        -- did we cross a quarter boundary?\n        + case\n            when {{first_date}} < {{second_date}} and (\n                (dayofyear({{second_date}}) - (quarter({{second_date}}) * 365/4))\n                < (dayofyear({{first_date}}) - (quarter({{first_date}}) * 365/4))\n            ) then 1\n            when {{first_date}} > {{second_date}} and (\n                (dayofyear({{second_date}}) - (quarter({{second_date}}) * 365/4))\n                > (dayofyear({{first_date}}) - (quarter({{first_date}}) * 365/4))\n            ) then -1\n            else 0 end\n\n    {%- elif datepart == 'year' -%}\n    \n        year({{second_date}}) - year({{first_date}})\n\n    {%- elif datepart in ('hour', 'minute', 'second', 'millisecond', 'microsecond') -%}\n    \n        {%- set divisor -%} \n            {%- if datepart == 'hour' -%} 3600\n            {%- elif datepart == 'minute' -%} 60\n            {%- elif datepart == 'second' -%} 1\n            {%- elif datepart == 'millisecond' -%} (1/1000)\n            {%- elif datepart == 'microsecond' -%} (1/1000000)\n            {%- endif -%}\n        {%- endset -%}\n\n        case when {{first_date}} < {{second_date}}\n            then ceil((\n                {# make sure the timestamps are real, otherwise raise an error asap #}\n                {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', second_date)) }}\n                - {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', first_date)) }}\n            ) / {{divisor}})\n            else floor((\n                {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', second_date)) }}\n                - {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', first_date)) }}\n            ) / {{divisor}})\n            end\n            \n            {% if datepart == 'millisecond' %}\n                + cast(date_format({{second_date}}, 'SSS') as int)\n                - cast(date_format({{first_date}}, 'SSS') as int)\n            {% endif %}\n            \n            {% if datepart == 'microsecond' %}    \n                {% set capture_str = '[0-9]{4}-[0-9]{2}-[0-9]{2}.[0-9]{2}:[0-9]{2}:[0-9]{2}.([0-9]{6})' %}\n                -- Spark doesn't really support microseconds, so this is a massive hack!\n                -- It will only work if the timestamp-string is of the format\n                -- 'yyyy-MM-dd-HH mm.ss.SSSSSS'\n                + cast(regexp_extract({{second_date}}, '{{capture_str}}', 1) as int)\n                - cast(regexp_extract({{first_date}}, '{{capture_str}}', 1) as int)    \n            {% endif %}\n\n    {%- else -%}\n\n        {{ exceptions.raise_compiler_error(\"macro datediff not implemented for datepart ~ '\" ~ datepart ~ \"' ~ on Spark\") }}\n\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.563167, "supported_languages": null}, "macro.spark_utils.spark__current_timestamp": {"name": "spark__current_timestamp", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "unique_id": "macro.spark_utils.spark__current_timestamp", "macro_sql": "{% macro spark__current_timestamp() %}\n    current_timestamp()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.563311, "supported_languages": null}, "macro.spark_utils.spark__current_timestamp_in_utc": {"name": "spark__current_timestamp_in_utc", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "unique_id": "macro.spark_utils.spark__current_timestamp_in_utc", "macro_sql": "{% macro spark__current_timestamp_in_utc() %}\n    unix_timestamp()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5633888, "supported_languages": null}, "macro.spark_utils.spark__split_part": {"name": "spark__split_part", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/split_part.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/split_part.sql", "unique_id": "macro.spark_utils.spark__split_part", "macro_sql": "{% macro spark__split_part(string_text, delimiter_text, part_number) %}\n\n    {% set delimiter_expr %}\n    \n        -- escape if starts with a special character\n        case when regexp_extract({{ delimiter_text }}, '([^A-Za-z0-9])(.*)', 1) != '_'\n            then concat('\\\\', {{ delimiter_text }})\n            else {{ delimiter_text }} end\n    \n    {% endset %}\n\n    {% set split_part_expr %}\n    \n    split(\n        {{ string_text }},\n        {{ delimiter_expr }}\n        )[({{ part_number - 1 }})]\n    \n    {% endset %}\n    \n    {{ return(split_part_expr) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.563984, "supported_languages": null}, "macro.spark_utils.spark__get_relations_by_pattern": {"name": "spark__get_relations_by_pattern", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_relations_by_pattern", "macro_sql": "{% macro spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n        show table extended in {{ schema_pattern }} like '{{ table_pattern }}'\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n    {%- set tbl_relations = [] -%}\n    {%- for row in table_list['table'] -%}\n        {%- set tbl_relation = api.Relation.create(\n            database=None,\n            schema=row[0],\n            identifier=row[1],\n            type=('view' if 'Type: VIEW' in row[3] else 'table')\n        ) -%}\n        {%- do tbl_relations.append(tbl_relation) -%}\n    {%- endfor -%}\n\n    {{ return(tbl_relations) }}\n    {%- else -%}\n    {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.565629, "supported_languages": null}, "macro.spark_utils.spark__get_relations_by_prefix": {"name": "spark__get_relations_by_prefix", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_relations_by_prefix", "macro_sql": "{% macro spark__get_relations_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {% set table_pattern = table_pattern ~ '*' %}\n    {{ return(spark_utils.spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.56598, "supported_languages": null}, "macro.spark_utils.spark__get_tables_by_pattern": {"name": "spark__get_tables_by_pattern", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_tables_by_pattern", "macro_sql": "{% macro spark__get_tables_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(spark_utils.spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.566271, "supported_languages": null}, "macro.spark_utils.spark__get_tables_by_prefix": {"name": "spark__get_tables_by_prefix", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_tables_by_prefix", "macro_sql": "{% macro spark__get_tables_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(spark_utils.spark__get_relations_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_prefix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.56656, "supported_languages": null}, "macro.spark_utils.assert_not_null": {"name": "assert_not_null", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/etc/assert_not_null.sql", "original_file_path": "macros/etc/assert_not_null.sql", "unique_id": "macro.spark_utils.assert_not_null", "macro_sql": "{% macro assert_not_null(function, arg) -%}\n  {{ return(adapter.dispatch('assert_not_null', 'spark_utils')(function, arg)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.spark_utils.default__assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.566889, "supported_languages": null}, "macro.spark_utils.default__assert_not_null": {"name": "default__assert_not_null", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/etc/assert_not_null.sql", "original_file_path": "macros/etc/assert_not_null.sql", "unique_id": "macro.spark_utils.default__assert_not_null", "macro_sql": "{% macro default__assert_not_null(function, arg) %}\n\n    coalesce({{function}}({{arg}}), nvl2({{function}}({{arg}}), assert_true({{function}}({{arg}}) is not null), null))\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5670989, "supported_languages": null}, "macro.spark_utils.spark__convert_timezone": {"name": "spark__convert_timezone", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/snowplow/convert_timezone.sql", "original_file_path": "macros/snowplow/convert_timezone.sql", "unique_id": "macro.spark_utils.spark__convert_timezone", "macro_sql": "{% macro spark__convert_timezone(in_tz, out_tz, in_timestamp) %}\n    from_utc_timestamp(to_utc_timestamp({{in_timestamp}}, {{in_tz}}), {{out_tz}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.567308, "supported_languages": null}, "macro.fivetran_utils.enabled_vars": {"name": "enabled_vars", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/enabled_vars.sql", "original_file_path": "macros/enabled_vars.sql", "unique_id": "macro.fivetran_utils.enabled_vars", "macro_sql": "{% macro enabled_vars(vars) %}\n\n{% for v in vars %}\n    \n    {% if var(v, True) == False %}\n    {{ return(False) }}\n    {% endif %}\n\n{% endfor %}\n\n{{ return(True) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.567719, "supported_languages": null}, "macro.fivetran_utils.percentile": {"name": "percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.percentile", "macro_sql": "{% macro percentile(percentile_field, partition_field, percent) -%}\n\n{{ adapter.dispatch('percentile', 'fivetran_utils') (percentile_field, partition_field, percent) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__percentile"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5686772, "supported_languages": null}, "macro.fivetran_utils.default__percentile": {"name": "default__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.default__percentile", "macro_sql": "{% macro default__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n        over ( partition by {{ partition_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.568852, "supported_languages": null}, "macro.fivetran_utils.redshift__percentile": {"name": "redshift__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.redshift__percentile", "macro_sql": "{% macro redshift__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n        over ( partition by {{ partition_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.569021, "supported_languages": null}, "macro.fivetran_utils.bigquery__percentile": {"name": "bigquery__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.bigquery__percentile", "macro_sql": "{% macro bigquery__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percentile_field }}, \n        {{ percent }}) \n        over (partition by {{ partition_field }}    \n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.569192, "supported_languages": null}, "macro.fivetran_utils.postgres__percentile": {"name": "postgres__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.postgres__percentile", "macro_sql": "{% macro postgres__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n    /* have to group by partition field */\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.569344, "supported_languages": null}, "macro.fivetran_utils.spark__percentile": {"name": "spark__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.spark__percentile", "macro_sql": "{% macro spark__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile( \n        {{ percentile_field }}, \n        {{ percent }}) \n        over (partition by {{ partition_field }}    \n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.569512, "supported_languages": null}, "macro.fivetran_utils.pivot_json_extract": {"name": "pivot_json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/pivot_json_extract.sql", "original_file_path": "macros/pivot_json_extract.sql", "unique_id": "macro.fivetran_utils.pivot_json_extract", "macro_sql": "{% macro pivot_json_extract(string, list_of_properties) %}\n\n{%- for property in list_of_properties -%}\n{%- if property is mapping -%}\nreplace( {{ fivetran_utils.json_extract(string, property.name) }}, '\"', '') as {{ property.alias if property.alias else property.name | replace(' ', '_') | replace('.', '_') | lower }}\n\n{%- else -%}\nreplace( {{ fivetran_utils.json_extract(string, property) }}, '\"', '') as {{ property | replace(' ', '_') | lower }}\n\n{%- endif -%}\n{%- if not loop.last -%},{%- endif %}\n{% endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.json_extract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.570496, "supported_languages": null}, "macro.fivetran_utils.persist_pass_through_columns": {"name": "persist_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/persist_pass_through_columns.sql", "original_file_path": "macros/persist_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.persist_pass_through_columns", "macro_sql": "{% macro persist_pass_through_columns(pass_through_variable, identifier=none, transform='') %}\n\n{% if var(pass_through_variable, none) %}\n    {% for field in var(pass_through_variable) %}\n        , {{ transform ~ '(' ~ (identifier ~ '.' if identifier else '') ~ (field.alias if field.alias else field.name) ~ ')' }} as {{ field.alias if field.alias else field.name }}\n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5711691, "supported_languages": null}, "macro.fivetran_utils.json_parse": {"name": "json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.json_parse", "macro_sql": "{% macro json_parse(string, string_path) -%}\n\n{{ adapter.dispatch('json_parse', 'fivetran_utils') (string, string_path) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__json_parse"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.572314, "supported_languages": null}, "macro.fivetran_utils.default__json_parse": {"name": "default__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.default__json_parse", "macro_sql": "{% macro default__json_parse(string, string_path) %}\n\n  json_extract_path_text({{string}}, {%- for s in string_path -%}'{{ s }}'{%- if not loop.last -%},{%- endif -%}{%- endfor -%} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.57257, "supported_languages": null}, "macro.fivetran_utils.redshift__json_parse": {"name": "redshift__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.redshift__json_parse", "macro_sql": "{% macro redshift__json_parse(string, string_path) %}\n\n  json_extract_path_text({{string}}, {%- for s in string_path -%}'{{ s }}'{%- if not loop.last -%},{%- endif -%}{%- endfor -%} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.57283, "supported_languages": null}, "macro.fivetran_utils.bigquery__json_parse": {"name": "bigquery__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.bigquery__json_parse", "macro_sql": "{% macro bigquery__json_parse(string, string_path) %}\n\n \n  json_extract_scalar({{string}}, '$.{%- for s in string_path -%}{{ s }}{%- if not loop.last -%}.{%- endif -%}{%- endfor -%} ')\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5730822, "supported_languages": null}, "macro.fivetran_utils.postgres__json_parse": {"name": "postgres__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.postgres__json_parse", "macro_sql": "{% macro postgres__json_parse(string, string_path) %}\n\n  {{string}}::json #>> '{ {%- for s in string_path -%}{{ s }}{%- if not loop.last -%},{%- endif -%}{%- endfor -%} }'\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.573329, "supported_languages": null}, "macro.fivetran_utils.snowflake__json_parse": {"name": "snowflake__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.snowflake__json_parse", "macro_sql": "{% macro snowflake__json_parse(string, string_path) %}\n\n  parse_json( {{string}} ) {%- for s in string_path -%}{% if s is number %}[{{ s }}]{% else %}['{{ s }}']{% endif %}{%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.573607, "supported_languages": null}, "macro.fivetran_utils.spark__json_parse": {"name": "spark__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.spark__json_parse", "macro_sql": "{% macro spark__json_parse(string, string_path) %}\n\n  {{string}} : {%- for s in string_path -%}{% if s is number %}[{{ s }}]{% else %}['{{ s }}']{% endif %}{%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5738811, "supported_languages": null}, "macro.fivetran_utils.max_bool": {"name": "max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.max_bool", "macro_sql": "{% macro max_bool(boolean_field) -%}\n\n{{ adapter.dispatch('max_bool', 'fivetran_utils') (boolean_field) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__max_bool"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.574212, "supported_languages": null}, "macro.fivetran_utils.default__max_bool": {"name": "default__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.default__max_bool", "macro_sql": "{% macro default__max_bool(boolean_field)  %}\n\n    bool_or( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5743191, "supported_languages": null}, "macro.fivetran_utils.snowflake__max_bool": {"name": "snowflake__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.snowflake__max_bool", "macro_sql": "{% macro snowflake__max_bool(boolean_field)  %}\n\n    max( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5744221, "supported_languages": null}, "macro.fivetran_utils.bigquery__max_bool": {"name": "bigquery__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.bigquery__max_bool", "macro_sql": "{% macro bigquery__max_bool(boolean_field)  %}\n\n    max( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.574527, "supported_languages": null}, "macro.fivetran_utils.calculated_fields": {"name": "calculated_fields", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/calculated_fields.sql", "original_file_path": "macros/calculated_fields.sql", "unique_id": "macro.fivetran_utils.calculated_fields", "macro_sql": "{% macro calculated_fields(variable) -%}\n\n{% if var(variable, none) %}\n    {% for field in var(variable) %}\n        , {{ field.transform_sql }} as {{ field.name }} \n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5749109, "supported_languages": null}, "macro.fivetran_utils.drop_schemas_automation": {"name": "drop_schemas_automation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/drop_schemas_automation.sql", "original_file_path": "macros/drop_schemas_automation.sql", "unique_id": "macro.fivetran_utils.drop_schemas_automation", "macro_sql": "{% macro drop_schemas_automation(drop_target_schema=true) %}\n    {{ return(adapter.dispatch('drop_schemas_automation', 'fivetran_utils')(drop_target_schema)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__drop_schemas_automation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.575613, "supported_languages": null}, "macro.fivetran_utils.default__drop_schemas_automation": {"name": "default__drop_schemas_automation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/drop_schemas_automation.sql", "original_file_path": "macros/drop_schemas_automation.sql", "unique_id": "macro.fivetran_utils.default__drop_schemas_automation", "macro_sql": "{% macro default__drop_schemas_automation(drop_target_schema=true) %}\n\n{% set fetch_list_sql %}\n    {% if target.type not in ('databricks', 'spark') %}\n        select schema_name\n        from \n        {{ wrap_in_quotes(target.database) }}.INFORMATION_SCHEMA.SCHEMATA\n        where lower(schema_name) like '{{ target.schema | lower }}{%- if not drop_target_schema -%}_{%- endif -%}%'\n    {% else %}\n        SHOW SCHEMAS LIKE '{{ target.schema }}{%- if not drop_target_schema -%}_{%- endif -%}*'\n    {% endif %}\n{% endset %}\n\n{% set results = run_query(fetch_list_sql) %}\n\n{% if execute %}\n    {% set results_list = results.columns[0].values() %}\n{% else %}\n    {% set results_list = [] %}\n{% endif %}\n\n{% for schema_to_drop in results_list %}\n    {% do adapter.drop_schema(api.Relation.create(database=target.database, schema=schema_to_drop)) %}\n    {{ print('Schema ' ~ schema_to_drop ~ ' successfully dropped from the ' ~ target.database ~ ' database.\\n')}}\n{% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.wrap_in_quotes", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.57673, "supported_languages": null}, "macro.fivetran_utils.seed_data_helper": {"name": "seed_data_helper", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/seed_data_helper.sql", "original_file_path": "macros/seed_data_helper.sql", "unique_id": "macro.fivetran_utils.seed_data_helper", "macro_sql": "{% macro seed_data_helper(seed_name, warehouses) %}\n\n{% if target.type in warehouses %}\n    {% for w in warehouses %}\n        {% if target.type == w %}\n            {{ return(ref(seed_name ~ \"_\" ~ w ~ \"\")) }}\n        {% endif %}\n    {% endfor %}\n{% else %}\n{{ return(ref(seed_name)) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.577344, "supported_languages": null}, "macro.fivetran_utils.fill_pass_through_columns": {"name": "fill_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_pass_through_columns.sql", "original_file_path": "macros/fill_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.fill_pass_through_columns", "macro_sql": "{% macro fill_pass_through_columns(pass_through_variable) %}\n\n{% if var(pass_through_variable) %}\n    {% for field in var(pass_through_variable) %}\n        {% if field is mapping %}\n            {% if field.transform_sql %}\n                , {{ field.transform_sql }} as {{ field.alias if field.alias else field.name }}\n            {% else %}\n                , {{ field.alias if field.alias else field.name }}\n            {% endif %}\n        {% else %}\n        , {{ field }}\n        {% endif %}\n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.578166, "supported_languages": null}, "macro.fivetran_utils.string_agg": {"name": "string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.string_agg", "macro_sql": "{% macro string_agg(field_to_agg, delimiter) -%}\n\n{{ adapter.dispatch('string_agg', 'fivetran_utils') (field_to_agg, delimiter) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__string_agg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.578652, "supported_languages": null}, "macro.fivetran_utils.default__string_agg": {"name": "default__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.default__string_agg", "macro_sql": "{% macro default__string_agg(field_to_agg, delimiter) %}\n    string_agg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5787892, "supported_languages": null}, "macro.fivetran_utils.snowflake__string_agg": {"name": "snowflake__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.snowflake__string_agg", "macro_sql": "{% macro snowflake__string_agg(field_to_agg, delimiter) %}\n    listagg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5789282, "supported_languages": null}, "macro.fivetran_utils.redshift__string_agg": {"name": "redshift__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.redshift__string_agg", "macro_sql": "{% macro redshift__string_agg(field_to_agg, delimiter) %}\n    listagg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.579063, "supported_languages": null}, "macro.fivetran_utils.spark__string_agg": {"name": "spark__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.spark__string_agg", "macro_sql": "{% macro spark__string_agg(field_to_agg, delimiter) %}\n    -- collect set will remove duplicates\n    replace(replace(replace(cast( collect_set({{ field_to_agg }}) as string), '[', ''), ']', ''), ', ', {{ delimiter }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.579205, "supported_languages": null}, "macro.fivetran_utils.timestamp_diff": {"name": "timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.timestamp_diff", "macro_sql": "{% macro timestamp_diff(first_date, second_date, datepart) %}\n  {{ adapter.dispatch('timestamp_diff', 'fivetran_utils')(first_date, second_date, datepart) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__timestamp_diff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5822022, "supported_languages": null}, "macro.fivetran_utils.default__timestamp_diff": {"name": "default__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.default__timestamp_diff", "macro_sql": "{% macro default__timestamp_diff(first_date, second_date, datepart) %}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5823722, "supported_languages": null}, "macro.fivetran_utils.redshift__timestamp_diff": {"name": "redshift__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.redshift__timestamp_diff", "macro_sql": "{% macro redshift__timestamp_diff(first_date, second_date, datepart) %}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5825431, "supported_languages": null}, "macro.fivetran_utils.bigquery__timestamp_diff": {"name": "bigquery__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.bigquery__timestamp_diff", "macro_sql": "{% macro bigquery__timestamp_diff(first_date, second_date, datepart) %}\n\n    timestamp_diff(\n        {{second_date}},\n        {{first_date}},\n        {{datepart}}\n    )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.582706, "supported_languages": null}, "macro.fivetran_utils.postgres__timestamp_diff": {"name": "postgres__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.postgres__timestamp_diff", "macro_sql": "{% macro postgres__timestamp_diff(first_date, second_date, datepart) %}\n\n    {% if datepart == 'year' %}\n        (date_part('year', ({{second_date}})::date) - date_part('year', ({{first_date}})::date))\n    {% elif datepart == 'quarter' %}\n        ({{ dbt.datediff(first_date, second_date, 'year') }} * 4 + date_part('quarter', ({{second_date}})::date) - date_part('quarter', ({{first_date}})::date))\n    {% elif datepart == 'month' %}\n        ({{ dbt.datediff(first_date, second_date, 'year') }} * 12 + date_part('month', ({{second_date}})::date) - date_part('month', ({{first_date}})::date))\n    {% elif datepart == 'day' %}\n        (({{second_date}})::date - ({{first_date}})::date)\n    {% elif datepart == 'week' %}\n        ({{ dbt.datediff(first_date, second_date, 'day') }} / 7 + case\n            when date_part('dow', ({{first_date}})::timestamp) <= date_part('dow', ({{second_date}})::timestamp) then\n                case when {{first_date}} <= {{second_date}} then 0 else -1 end\n            else\n                case when {{first_date}} <= {{second_date}} then 1 else 0 end\n        end)\n    {% elif datepart == 'hour' %}\n        ({{ dbt.datediff(first_date, second_date, 'day') }} * 24 + date_part('hour', ({{second_date}})::timestamp) - date_part('hour', ({{first_date}})::timestamp))\n    {% elif datepart == 'minute' %}\n        ({{ dbt.datediff(first_date, second_date, 'hour') }} * 60 + date_part('minute', ({{second_date}})::timestamp) - date_part('minute', ({{first_date}})::timestamp))\n    {% elif datepart == 'second' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60 + floor(date_part('second', ({{second_date}})::timestamp)) - floor(date_part('second', ({{first_date}})::timestamp)))\n    {% elif datepart == 'millisecond' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60000 + floor(date_part('millisecond', ({{second_date}})::timestamp)) - floor(date_part('millisecond', ({{first_date}})::timestamp)))\n    {% elif datepart == 'microsecond' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60000000 + floor(date_part('microsecond', ({{second_date}})::timestamp)) - floor(date_part('microsecond', ({{first_date}})::timestamp)))\n    {% else %}\n        {{ exceptions.raise_compiler_error(\"Unsupported datepart for macro datediff in postgres: {!r}\".format(datepart)) }}\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5845492, "supported_languages": null}, "macro.fivetran_utils.try_cast": {"name": "try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.try_cast", "macro_sql": "{% macro try_cast(field, type) %}\n    {{ adapter.dispatch('try_cast', 'fivetran_utils') (field, type) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__try_cast"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5854368, "supported_languages": null}, "macro.fivetran_utils.default__safe_cast": {"name": "default__safe_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.default__safe_cast", "macro_sql": "{% macro default__safe_cast(field, type) %}\n    {# most databases don't support this function yet\n    so we just need to use cast #}\n    cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.585581, "supported_languages": null}, "macro.fivetran_utils.redshift__try_cast": {"name": "redshift__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.redshift__try_cast", "macro_sql": "{% macro redshift__try_cast(field, type) %}\n{%- if type == 'numeric' -%}\n\n    case\n        when trim({{field}}) ~ '^(0|[1-9][0-9]*)$' then trim({{field}})\n        else null\n    end::{{type}}\n\n{% else %}\n    {{ exceptions.raise_compiler_error(\n            \"non-numeric datatypes are not currently supported\") }}\n\n{% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5858738, "supported_languages": null}, "macro.fivetran_utils.postgres__try_cast": {"name": "postgres__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.postgres__try_cast", "macro_sql": "{% macro postgres__try_cast(field, type) %}\n{%- if type == 'numeric' -%}\n\n    case\n        when replace(cast({{field}} as varchar),cast(' ' as varchar),cast('' as varchar)) ~ '^(0|[1-9][0-9]*)$' \n        then replace(cast({{field}} as varchar),cast(' ' as varchar),cast('' as varchar))\n        else null\n    end::{{type}}\n\n{% else %}\n    {{ exceptions.raise_compiler_error(\n            \"non-numeric datatypes are not currently supported\") }}\n\n{% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.586177, "supported_languages": null}, "macro.fivetran_utils.snowflake__try_cast": {"name": "snowflake__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.snowflake__try_cast", "macro_sql": "{% macro snowflake__try_cast(field, type) %}\n    try_cast(cast({{field}} as varchar) as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.586315, "supported_languages": null}, "macro.fivetran_utils.bigquery__try_cast": {"name": "bigquery__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.bigquery__try_cast", "macro_sql": "{% macro bigquery__try_cast(field, type) %}\n    safe_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.586446, "supported_languages": null}, "macro.fivetran_utils.spark__try_cast": {"name": "spark__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.spark__try_cast", "macro_sql": "{% macro spark__try_cast(field, type) %}\n    try_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.586576, "supported_languages": null}, "macro.fivetran_utils.source_relation": {"name": "source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/source_relation.sql", "original_file_path": "macros/source_relation.sql", "unique_id": "macro.fivetran_utils.source_relation", "macro_sql": "{% macro source_relation(union_schema_variable='union_schemas', union_database_variable='union_databases') -%}\n\n{{ adapter.dispatch('source_relation', 'fivetran_utils') (union_schema_variable, union_database_variable) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__source_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.587075, "supported_languages": null}, "macro.fivetran_utils.default__source_relation": {"name": "default__source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/source_relation.sql", "original_file_path": "macros/source_relation.sql", "unique_id": "macro.fivetran_utils.default__source_relation", "macro_sql": "{% macro default__source_relation(union_schema_variable, union_database_variable) %}\n\n{% if var(union_schema_variable, none)  %}\n, case\n    {% for schema in var(union_schema_variable) %}\n    when lower(replace(replace(_dbt_source_relation,'\"',''),'`','')) like '%.{{ schema|lower }}.%' then '{{ schema|lower }}'\n    {% endfor %}\n  end as source_relation\n{% elif var(union_database_variable, none) %}\n, case\n    {% for database in var(union_database_variable) %}\n    when lower(replace(replace(_dbt_source_relation,'\"',''),'`','')) like '%{{ database|lower }}.%' then '{{ database|lower }}'\n    {% endfor %}\n  end as source_relation\n{% else %}\n, cast('' as {{ dbt.type_string() }}) as source_relation\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.587685, "supported_languages": null}, "macro.fivetran_utils.first_value": {"name": "first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.first_value", "macro_sql": "{% macro first_value(first_value_field, partition_field, order_by_field, order=\"asc\") -%}\n\n{{ adapter.dispatch('first_value', 'fivetran_utils') (first_value_field, partition_field, order_by_field, order) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__first_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.588199, "supported_languages": null}, "macro.fivetran_utils.default__first_value": {"name": "default__first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.default__first_value", "macro_sql": "{% macro default__first_value(first_value_field, partition_field, order_by_field, order=\"asc\")  %}\n\n    first_value( {{ first_value_field }} ignore nulls ) over (partition by {{ partition_field }} order by {{ order_by_field }} {{ order }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.588417, "supported_languages": null}, "macro.fivetran_utils.redshift__first_value": {"name": "redshift__first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.redshift__first_value", "macro_sql": "{% macro redshift__first_value(first_value_field, partition_field, order_by_field, order=\"asc\") %}\n\n    first_value( {{ first_value_field }} ignore nulls ) over (partition by {{ partition_field }} order by {{ order_by_field }} {{ order }} , {{ partition_field }} rows unbounded preceding )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.588651, "supported_languages": null}, "macro.fivetran_utils.add_dbt_source_relation": {"name": "add_dbt_source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/add_dbt_source_relation.sql", "original_file_path": "macros/add_dbt_source_relation.sql", "unique_id": "macro.fivetran_utils.add_dbt_source_relation", "macro_sql": "{% macro add_dbt_source_relation() %}\n\n{% if var('union_schemas', none) or var('union_databases', none) %}\n, _dbt_source_relation\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.588918, "supported_languages": null}, "macro.fivetran_utils.add_pass_through_columns": {"name": "add_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/add_pass_through_columns.sql", "original_file_path": "macros/add_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.add_pass_through_columns", "macro_sql": "{% macro add_pass_through_columns(base_columns, pass_through_var) %}\n\n  {% if pass_through_var %}\n\n    {% for column in pass_through_var %}\n\n    {% if column is mapping %}\n\n      {% if column.alias %}\n\n        {% do base_columns.append({ \"name\": column.name, \"alias\": column.alias, \"datatype\": column.datatype if column.datatype else dbt.type_string()}) %}\n\n      {% else %}\n\n        {% do base_columns.append({ \"name\": column.name, \"datatype\": column.datatype if column.datatype else dbt.type_string()}) %}\n        \n      {% endif %}\n\n    {% else %}\n\n      {% do base_columns.append({ \"name\": column, \"datatype\": dbt.type_string()}) %}\n\n    {% endif %}\n\n    {% endfor %}\n\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.590079, "supported_languages": null}, "macro.fivetran_utils.union_relations": {"name": "union_relations", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_relations.sql", "original_file_path": "macros/union_relations.sql", "unique_id": "macro.fivetran_utils.union_relations", "macro_sql": "{%- macro union_relations(relations, aliases=none, column_override=none, include=[], exclude=[], source_column_name=none) -%}\n\n    {%- if exclude and include -%}\n        {{ exceptions.raise_compiler_error(\"Both an exclude and include list were provided to the `union` macro. Only one is allowed\") }}\n    {%- endif -%}\n\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. -#}\n    {%- if not execute %}\n        {{ return('') }}\n    {% endif -%}\n\n    {%- set column_override = column_override if column_override is not none else {} -%}\n    {%- set source_column_name = source_column_name if source_column_name is not none else '_dbt_source_relation' -%}\n\n    {%- set relation_columns = {} -%}\n    {%- set column_superset = {} -%}\n\n    {%- for relation in relations -%}\n\n        {%- do relation_columns.update({relation: []}) -%}\n\n        {%- do dbt_utils._is_relation(relation, 'union_relations') -%}\n        {%- set cols = adapter.get_columns_in_relation(relation) -%}\n        {%- for col in cols -%}\n\n        {#- If an exclude list was provided and the column is in the list, do nothing -#}\n        {%- if exclude and col.column in exclude -%}\n\n        {#- If an include list was provided and the column is not in the list, do nothing -#}\n        {%- elif include and col.column not in include -%}\n\n        {#- Otherwise add the column to the column superset -#}\n        {%- else -%}\n\n            {#- update the list of columns in this relation -#}\n            {%- do relation_columns[relation].append(col.column) -%}\n\n            {%- if col.column in column_superset -%}\n\n                {%- set stored = column_superset[col.column] -%}\n                {%- if col.is_string() and stored.is_string() and col.string_size() > stored.string_size() -%}\n\n                    {%- do column_superset.update({col.column: col}) -%}\n\n                {%- endif %}\n\n            {%- else -%}\n\n                {%- do column_superset.update({col.column: col}) -%}\n\n            {%- endif -%}\n\n        {%- endif -%}\n\n        {%- endfor -%}\n    {%- endfor -%}\n\n    {%- set ordered_column_names = column_superset.keys() -%}\n\n    {%- for relation in relations %}\n\n        (\n            select\n\n                cast({{ dbt.string_literal(relation) }} as {{ dbt.type_string() }}) as {{ source_column_name }},\n                {% for col_name in ordered_column_names -%}\n\n                    {%- set col = column_superset[col_name] %}\n                    {%- set col_type = column_override.get(col.column, col.data_type) %}\n                    {%- set col_name = adapter.quote(col_name) if col_name in relation_columns[relation] else 'null' %}\n                    cast({{ col_name }} as {{ col_type }}) as {{ col.quoted }} {% if not loop.last %},{% endif -%}\n\n                {%- endfor %}\n\n            from {{ aliases[loop.index0] if aliases else relation }}\n        )\n\n        {% if not loop.last -%}\n            union all\n        {% endif -%}\n\n    {%- endfor -%}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt.string_literal", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5944629, "supported_languages": null}, "macro.fivetran_utils.union_tables": {"name": "union_tables", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_relations.sql", "original_file_path": "macros/union_relations.sql", "unique_id": "macro.fivetran_utils.union_tables", "macro_sql": "{%- macro union_tables(tables, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_table') -%}\n\n    {%- do exceptions.warn(\"Warning: the `union_tables` macro is no longer supported and will be deprecated in a future release of dbt-utils. Use the `union_relations` macro instead\") -%}\n\n    {{ return(dbt_utils.union_relations(tables, column_override, include, exclude, source_column_name)) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils.union_relations"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5948539, "supported_languages": null}, "macro.fivetran_utils.snowflake_seed_data": {"name": "snowflake_seed_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/snowflake_seed_data.sql", "original_file_path": "macros/snowflake_seed_data.sql", "unique_id": "macro.fivetran_utils.snowflake_seed_data", "macro_sql": "{% macro snowflake_seed_data(seed_name) %}\n\n{% if target.type == 'snowflake' %}\n{{ return(ref(seed_name ~ '_snowflake')) }}\n{% else %}\n{{ return(ref(seed_name)) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.595258, "supported_languages": null}, "macro.fivetran_utils.fill_staging_columns": {"name": "fill_staging_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_staging_columns.sql", "original_file_path": "macros/fill_staging_columns.sql", "unique_id": "macro.fivetran_utils.fill_staging_columns", "macro_sql": "{% macro fill_staging_columns(source_columns, staging_columns) -%}\n\n{%- set source_column_names = source_columns|map(attribute='name')|map('lower')|list -%}\n\n{%- for column in staging_columns %}\n    {% if column.name|lower in source_column_names -%}\n        {{ fivetran_utils.quote_column(column) }} as \n        {%- if 'alias' in column %} {{ column.alias }} {% else %} {{ fivetran_utils.quote_column(column) }} {%- endif -%}\n    {%- else -%}\n        cast(null as {{ column.datatype }})\n        {%- if 'alias' in column %} as {{ column.alias }} {% else %} as {{ fivetran_utils.quote_column(column) }} {% endif -%}\n    {%- endif -%}\n    {%- if not loop.last -%} , {% endif -%}\n{% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.quote_column"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5969431, "supported_languages": null}, "macro.fivetran_utils.quote_column": {"name": "quote_column", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_staging_columns.sql", "original_file_path": "macros/fill_staging_columns.sql", "unique_id": "macro.fivetran_utils.quote_column", "macro_sql": "{% macro quote_column(column) %}\n    {% if 'quote' in column %}\n        {% if column.quote %}\n            {% if target.type in ('bigquery', 'spark', 'databricks') %}\n            `{{ column.name }}`\n            {% elif target.type == 'snowflake' %}\n            \"{{ column.name | upper }}\"\n            {% else %}\n            \"{{ column.name }}\"\n            {% endif %}\n        {% else %}\n        {{ column.name }}\n        {% endif %}\n    {% else %}\n    {{ column.name }}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.597549, "supported_languages": null}, "macro.fivetran_utils.json_extract": {"name": "json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.json_extract", "macro_sql": "{% macro json_extract(string, string_path) -%}\n\n{{ adapter.dispatch('json_extract', 'fivetran_utils') (string, string_path) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__json_extract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.598145, "supported_languages": null}, "macro.fivetran_utils.default__json_extract": {"name": "default__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.default__json_extract", "macro_sql": "{% macro default__json_extract(string, string_path) %}\n\n  json_extract_path_text({{string}}, {{ \"'\" ~ string_path ~ \"'\" }} )\n \n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.598314, "supported_languages": null}, "macro.fivetran_utils.snowflake__json_extract": {"name": "snowflake__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.snowflake__json_extract", "macro_sql": "{% macro snowflake__json_extract(string, string_path) %}\n\n  json_extract_path_text(try_parse_json( {{string}} ), {{ \"'\" ~ string_path ~ \"'\" }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5984771, "supported_languages": null}, "macro.fivetran_utils.redshift__json_extract": {"name": "redshift__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.redshift__json_extract", "macro_sql": "{% macro redshift__json_extract(string, string_path) %}\n\n  case when is_valid_json( {{string}} ) then json_extract_path_text({{string}}, {{ \"'\" ~ string_path ~ \"'\" }} ) else null end\n \n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.598666, "supported_languages": null}, "macro.fivetran_utils.bigquery__json_extract": {"name": "bigquery__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.bigquery__json_extract", "macro_sql": "{% macro bigquery__json_extract(string, string_path) %}\n\n  json_extract_scalar({{string}}, {{ \"'$.\" ~ string_path ~ \"'\" }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5988271, "supported_languages": null}, "macro.fivetran_utils.postgres__json_extract": {"name": "postgres__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.postgres__json_extract", "macro_sql": "{% macro postgres__json_extract(string, string_path) %}\n\n  {{string}}::json->>{{\"'\" ~ string_path ~ \"'\" }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.59899, "supported_languages": null}, "macro.fivetran_utils.collect_freshness": {"name": "collect_freshness", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/collect_freshness.sql", "original_file_path": "macros/collect_freshness.sql", "unique_id": "macro.fivetran_utils.collect_freshness", "macro_sql": "{% macro collect_freshness(source, loaded_at_field, filter) %}\n  {{ return(adapter.dispatch('collect_freshness')(source, loaded_at_field, filter))}}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__collect_freshness"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.5997381, "supported_languages": null}, "macro.fivetran_utils.default__collect_freshness": {"name": "default__collect_freshness", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/collect_freshness.sql", "original_file_path": "macros/collect_freshness.sql", "unique_id": "macro.fivetran_utils.default__collect_freshness", "macro_sql": "{% macro default__collect_freshness(source, loaded_at_field, filter) %}\n  {% call statement('collect_freshness', fetch_result=True, auto_begin=False) -%}\n\n  {%- set enabled_array = [] -%}\n  {% for node in graph.sources.values() %}\n    {% if node.identifier == source.identifier %}\n      {% if (node.meta['is_enabled'] | default(true)) %}\n        {%- do enabled_array.append(1) -%}\n      {% endif %}\n    {% endif %}\n  {% endfor %}\n  {% set is_enabled = (enabled_array != []) %}\n\n    select\n      {% if is_enabled %}\n      max({{ loaded_at_field }})\n      {% else %} \n      {{ current_timestamp() }} {% endif %} as max_loaded_at,\n      {{ current_timestamp() }} as snapshotted_at\n\n    {% if is_enabled %}\n    from {{ source }}\n      {% if filter %}\n      where {{ filter }}\n      {% endif %}\n    {% endif %}\n\n  {% endcall %}\n  {{ return(load_result('collect_freshness').table) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.600781, "supported_languages": null}, "macro.fivetran_utils.timestamp_add": {"name": "timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.timestamp_add", "macro_sql": "{% macro timestamp_add(datepart, interval, from_timestamp) -%}\n\n{{ adapter.dispatch('timestamp_add', 'fivetran_utils') (datepart, interval, from_timestamp) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__timestamp_add"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.60152, "supported_languages": null}, "macro.fivetran_utils.default__timestamp_add": {"name": "default__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.default__timestamp_add", "macro_sql": "{% macro default__timestamp_add(datepart, interval, from_timestamp) %}\n\n    timestampadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6017, "supported_languages": null}, "macro.fivetran_utils.bigquery__timestamp_add": {"name": "bigquery__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.bigquery__timestamp_add", "macro_sql": "{% macro bigquery__timestamp_add(datepart, interval, from_timestamp) %}\n\n        timestamp_add({{ from_timestamp }}, interval  {{ interval }} {{ datepart }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.601871, "supported_languages": null}, "macro.fivetran_utils.redshift__timestamp_add": {"name": "redshift__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.redshift__timestamp_add", "macro_sql": "{% macro redshift__timestamp_add(datepart, interval, from_timestamp) %}\n\n        dateadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.60204, "supported_languages": null}, "macro.fivetran_utils.postgres__timestamp_add": {"name": "postgres__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.postgres__timestamp_add", "macro_sql": "{% macro postgres__timestamp_add(datepart, interval, from_timestamp) %}\n\n    {{ from_timestamp }} + ((interval '1 {{ datepart }}') * ({{ interval }}))\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6022131, "supported_languages": null}, "macro.fivetran_utils.spark__timestamp_add": {"name": "spark__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.spark__timestamp_add", "macro_sql": "{% macro spark__timestamp_add(datepart, interval, from_timestamp) %}\n\n    {{ dbt.dateadd(datepart, interval, from_timestamp) }}\n        \n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.602397, "supported_languages": null}, "macro.fivetran_utils.ceiling": {"name": "ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.ceiling", "macro_sql": "{% macro ceiling(num) -%}\n\n{{ adapter.dispatch('ceiling', 'fivetran_utils') (num) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__ceiling"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6026611, "supported_languages": null}, "macro.fivetran_utils.default__ceiling": {"name": "default__ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.default__ceiling", "macro_sql": "{% macro default__ceiling(num) %}\n    ceiling({{ num }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.602769, "supported_languages": null}, "macro.fivetran_utils.snowflake__ceiling": {"name": "snowflake__ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.snowflake__ceiling", "macro_sql": "{% macro snowflake__ceiling(num) %}\n    ceil({{ num }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.602941, "supported_languages": null}, "macro.fivetran_utils.remove_prefix_from_columns": {"name": "remove_prefix_from_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/remove_prefix_from_columns.sql", "original_file_path": "macros/remove_prefix_from_columns.sql", "unique_id": "macro.fivetran_utils.remove_prefix_from_columns", "macro_sql": "{% macro remove_prefix_from_columns(columns, prefix='', exclude=[]) %}\n\n        {%- for col in columns if col.name not in exclude -%}\n        {%- if col.name[:prefix|length]|lower == prefix -%}\n        {{ col.name }} as {{ col.name[prefix|length:] }}\n        {%- else -%}\n        {{ col.name }}\n        {%- endif -%}\n        {%- if not loop.last -%},{%- endif %}\n        {% endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6036081, "supported_languages": null}, "macro.fivetran_utils.union_data": {"name": "union_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_data.sql", "original_file_path": "macros/union_data.sql", "unique_id": "macro.fivetran_utils.union_data", "macro_sql": "{%- macro union_data(table_identifier, database_variable, schema_variable, default_database, default_schema, default_variable, union_schema_variable='union_schemas', union_database_variable='union_databases') -%}\n\n{{ adapter.dispatch('union_data', 'fivetran_utils') (\n    table_identifier, \n    database_variable, \n    schema_variable, \n    default_database, \n    default_schema, \n    default_variable,\n    union_schema_variable,\n    union_database_variable\n    ) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.fivetran_utils.default__union_data"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.607222, "supported_languages": null}, "macro.fivetran_utils.default__union_data": {"name": "default__union_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_data.sql", "original_file_path": "macros/union_data.sql", "unique_id": "macro.fivetran_utils.default__union_data", "macro_sql": "{%- macro default__union_data(\n    table_identifier, \n    database_variable, \n    schema_variable, \n    default_database, \n    default_schema, \n    default_variable,\n    union_schema_variable,\n    union_database_variable\n    ) -%}\n\n{%- if var(union_schema_variable, none) -%}\n\n    {%- set relations = [] -%}\n    \n    {%- if var(union_schema_variable) is string -%}\n    {%- set trimmed = var(union_schema_variable)|trim('[')|trim(']') -%}\n    {%- set schemas = trimmed.split(',')|map('trim',\" \")|map('trim','\"')|map('trim',\"'\") -%}\n    {%- else -%}\n    {%- set schemas = var(union_schema_variable) -%}\n    {%- endif -%}\n\n    {%- for schema in var(union_schema_variable) -%}\n    {%- set relation=adapter.get_relation(\n        database=source(schema, table_identifier).database if var('has_defined_sources', false) else var(database_variable, default_database),\n        schema=source(schema, table_identifier).schema if var('has_defined_sources', false) else schema,\n        identifier=source(schema, table_identifier).identifier if var('has_defined_sources', false) else table_identifier\n    ) -%}\n    \n    {%- set relation_exists=relation is not none -%}\n\n    {%- if relation_exists -%}\n        {%- do relations.append(relation) -%}\n    {%- endif -%}\n\n    {%- endfor -%}\n    \n    {%- if relations != [] -%}\n        {{ dbt_utils.union_relations(relations) }}\n    {%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n    {%- endif -%}\n\n{%- elif var(union_database_variable, none) -%}\n\n    {%- set relations = [] -%}\n\n    {%- for database in var(union_database_variable) -%}\n    {%- set relation=adapter.get_relation(\n        database=source(schema, table_identifier).database if var('has_defined_sources', false) else database,\n        schema=source(schema, table_identifier).schema if var('has_defined_sources', false) else var(schema_variable, default_schema),\n        identifier=source(schema, table_identifier).identifier if var('has_defined_sources', false) else table_identifier\n    ) -%}\n\n    {%- set relation_exists=relation is not none -%}\n\n    {%- if relation_exists -%}\n        {%- do relations.append(relation) -%}\n    {%- endif -%}\n\n    {%- endfor -%}\n\n    {%- if relations != [] -%}\n        {{ dbt_utils.union_relations(relations) }}\n    {%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n    {%- endif -%}\n\n{%- else -%}\n    {% set exception_schemas = {\"linkedin_company_pages\": \"linkedin_pages\", \"instagram_business_pages\": \"instagram_business\"} %}\n    {% set relation = namespace(value=\"\") %}\n    {% if default_schema in exception_schemas.keys() %}\n        {% for corrected_schema_name in exception_schemas.items() %}   \n            {% if default_schema in corrected_schema_name %}\n                {# In order for this macro to effectively work within upstream integration tests (mainly used by the Fivetran dbt package maintainers), this identifier variable selection is required to use the macro with different identifier names. #}\n                {% set identifier_var = corrected_schema_name[1] + \"_\" + table_identifier + \"_identifier\"  %}\n                {%- set relation.value=adapter.get_relation(\n                    database=source(corrected_schema_name[1], table_identifier).database,\n                    schema=source(corrected_schema_name[1], table_identifier).schema,\n                    identifier=var(identifier_var, table_identifier)\n                ) -%}\n            {% endif %}\n        {% endfor %}\n    {% else %}\n        {# In order for this macro to effectively work within upstream integration tests (mainly used by the Fivetran dbt package maintainers), this identifier variable selection is required to use the macro with different identifier names. #}\n        {% set identifier_var = default_schema + \"_\" + table_identifier + \"_identifier\"  %}\n        {# Unfortunately the Twitter Organic identifiers were misspelled. As such, we will need to account for this in the model. This will be adjusted in the Twitter Organic package, but to ensure backwards compatibility, this needs to be included. #}\n        {% if var(identifier_var, none) is none %} \n            {% set identifier_var = default_schema + \"_\" + table_identifier + \"_identifer\"  %}\n        {% endif %}\n        {%- set relation.value=adapter.get_relation(\n            database=source(default_schema, table_identifier).database,\n            schema=source(default_schema, table_identifier).schema,\n            identifier=var(identifier_var, table_identifier)\n        ) -%}\n    {% endif %}\n{%- set table_exists=relation.value is not none -%}\n\n{%- if table_exists -%}\n    select * \n    from {{ relation.value }}\n{%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n{%- endif -%}\n{%- endif -%}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils.union_relations", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.612125, "supported_languages": null}, "macro.fivetran_utils.dummy_coalesce_value": {"name": "dummy_coalesce_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/dummy_coalesce_value.sql", "original_file_path": "macros/dummy_coalesce_value.sql", "unique_id": "macro.fivetran_utils.dummy_coalesce_value", "macro_sql": "{% macro dummy_coalesce_value(column) %}\n\n{% set coalesce_value = {\n 'STRING': \"'DUMMY_STRING'\",\n 'BOOLEAN': 'null',\n 'INT': 999999999,\n 'FLOAT': 999999999.99,\n 'TIMESTAMP': 'cast(\"2099-12-31\" as timestamp)',\n 'DATE': 'cast(\"2099-12-31\" as date)',\n} %}\n\n{% if column.is_float() %}\n{{ return(coalesce_value['FLOAT']) }}\n\n{% elif column.is_numeric() %}\n{{ return(coalesce_value['INT']) }}\n\n{% elif column.is_string() %}\n{{ return(coalesce_value['STRING']) }}\n\n{% elif column.data_type|lower == 'boolean' %}\n{{ return(coalesce_value['BOOLEAN']) }}\n\n{% elif 'timestamp' in column.data_type|lower %}\n{{ return(coalesce_value['TIMESTAMP']) }}\n\n{% elif 'date' in column.data_type|lower %}\n{{ return(coalesce_value['DATE']) }}\n\n{% elif 'int' in column.data_type|lower %}\n{{ return(coalesce_value['INT']) }}\n\n{% endif %}\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.61363, "supported_languages": null}, "macro.fivetran_utils.wrap_in_quotes": {"name": "wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.wrap_in_quotes", "macro_sql": "{%- macro wrap_in_quotes(object_to_quote) -%}\n\n{{ return(adapter.dispatch('wrap_in_quotes', 'fivetran_utils')(object_to_quote)) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.fivetran_utils.default__wrap_in_quotes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.613992, "supported_languages": null}, "macro.fivetran_utils.default__wrap_in_quotes": {"name": "default__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.default__wrap_in_quotes", "macro_sql": "{%- macro default__wrap_in_quotes(object_to_quote)  -%}\n{# bigquery, spark, databricks #}\n    `{{ object_to_quote }}`\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.614112, "supported_languages": null}, "macro.fivetran_utils.snowflake__wrap_in_quotes": {"name": "snowflake__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.snowflake__wrap_in_quotes", "macro_sql": "{%- macro snowflake__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote | upper }}\"\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6142342, "supported_languages": null}, "macro.fivetran_utils.redshift__wrap_in_quotes": {"name": "redshift__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.redshift__wrap_in_quotes", "macro_sql": "{%- macro redshift__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote }}\"\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.614341, "supported_languages": null}, "macro.fivetran_utils.postgres__wrap_in_quotes": {"name": "postgres__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.postgres__wrap_in_quotes", "macro_sql": "{%- macro postgres__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote }}\"\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.614448, "supported_languages": null}, "macro.fivetran_utils.array_agg": {"name": "array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.array_agg", "macro_sql": "{% macro array_agg(field_to_agg) -%}\n\n{{ adapter.dispatch('array_agg', 'fivetran_utils') (field_to_agg) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__array_agg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6147242, "supported_languages": null}, "macro.fivetran_utils.default__array_agg": {"name": "default__array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.default__array_agg", "macro_sql": "{% macro default__array_agg(field_to_agg) %}\n    array_agg({{ field_to_agg }})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6148312, "supported_languages": null}, "macro.fivetran_utils.redshift__array_agg": {"name": "redshift__array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.redshift__array_agg", "macro_sql": "{% macro redshift__array_agg(field_to_agg) %}\n    listagg({{ field_to_agg }}, ',')\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.614937, "supported_languages": null}, "macro.fivetran_utils.empty_variable_warning": {"name": "empty_variable_warning", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/empty_variable_warning.sql", "original_file_path": "macros/empty_variable_warning.sql", "unique_id": "macro.fivetran_utils.empty_variable_warning", "macro_sql": "{% macro empty_variable_warning(variable, downstream_model) %}\n\n{% if not var(variable) %}\n{{ log(\n    \"\"\"\n    Warning: You have passed an empty list to the \"\"\" ~ variable ~ \"\"\".\n    As a result, you won't see the history of any columns in the \"\"\" ~ downstream_model ~ \"\"\" model.\n    \"\"\",\n    info=True\n) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.615353, "supported_languages": null}, "macro.fivetran_utils.enabled_vars_one_true": {"name": "enabled_vars_one_true", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/enabled_vars_one_true.sql", "original_file_path": "macros/enabled_vars_one_true.sql", "unique_id": "macro.fivetran_utils.enabled_vars_one_true", "macro_sql": "{% macro enabled_vars_one_true(vars) %}\n\n{% for v in vars %}\n    \n    {% if var(v, False) == True %}\n    {{ return(True) }}\n    {% endif %}\n\n{% endfor %}\n\n{{ return(False) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.615765, "supported_languages": null}, "macro.qualtrics_source.get_survey_embedded_data_columns": {"name": "get_survey_embedded_data_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_survey_embedded_data_columns.sql", "original_file_path": "macros/get_survey_embedded_data_columns.sql", "unique_id": "macro.qualtrics_source.get_survey_embedded_data_columns", "macro_sql": "{% macro get_survey_embedded_data_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"import_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"key\", \"datatype\": dbt.type_string()},\n    {\"name\": \"response_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"value\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.616492, "supported_languages": null}, "macro.qualtrics_source.get_block_columns": {"name": "get_block_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_block_columns.sql", "original_file_path": "macros/get_block_columns.sql", "unique_id": "macro.qualtrics_source.get_block_columns", "macro_sql": "{% macro get_block_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"block_locking\", \"datatype\": dbt.type_string()},\n    {\"name\": \"block_visibility\", \"datatype\": dbt.type_string()},\n    {\"name\": \"description\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"randomize_questions\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"type\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6176152, "supported_languages": null}, "macro.qualtrics_source.get_sub_question_columns": {"name": "get_sub_question_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_sub_question_columns.sql", "original_file_path": "macros/get_sub_question_columns.sql", "unique_id": "macro.qualtrics_source.get_sub_question_columns", "macro_sql": "{% macro get_sub_question_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"choice_data_export_tag\", \"datatype\": dbt.type_string()},\n    {\"name\": \"key\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"text\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.61853, "supported_languages": null}, "macro.qualtrics_source.get_directory_mailing_list_columns": {"name": "get_directory_mailing_list_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_directory_mailing_list_columns.sql", "original_file_path": "macros/get_directory_mailing_list_columns.sql", "unique_id": "macro.qualtrics_source.get_directory_mailing_list_columns", "macro_sql": "{% macro get_directory_mailing_list_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"creation_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"directory_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_modified_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"owner_id\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.619545, "supported_languages": null}, "macro.qualtrics_source.get_core_contact_columns": {"name": "get_core_contact_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_core_contact_columns.sql", "original_file_path": "macros/get_core_contact_columns.sql", "unique_id": "macro.qualtrics_source.get_core_contact_columns", "macro_sql": "{% macro get_core_contact_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"mailing_list_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"first_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"external_data_reference\", \"datatype\": dbt.type_string()},\n    {\"name\": \"language\", \"datatype\": dbt.type_string()},\n    {\"name\": \"unsubscribed\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('qualtrics__core_contact_pass_through_columns')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.620924, "supported_languages": null}, "macro.qualtrics_source.get_survey_version_columns": {"name": "get_survey_version_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_survey_version_columns.sql", "original_file_path": "macros/get_survey_version_columns.sql", "unique_id": "macro.qualtrics_source.get_survey_version_columns", "macro_sql": "{% macro get_survey_version_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"creation_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"description\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"published\", \"datatype\": \"boolean\"},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"user_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"version_number\", \"datatype\": dbt.type_int()},\n    {\"name\": \"was_published\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.622124, "supported_languages": null}, "macro.qualtrics_source.get_survey_response_columns": {"name": "get_survey_response_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_survey_response_columns.sql", "original_file_path": "macros/get_survey_response_columns.sql", "unique_id": "macro.qualtrics_source.get_survey_response_columns", "macro_sql": "{% macro get_survey_response_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"distribution_channel\", \"datatype\": dbt.type_string()},\n    {\"name\": \"duration_in_seconds\", \"datatype\": dbt.type_int()},\n    {\"name\": \"end_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"finished\", \"datatype\": dbt.type_int()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"ip_address\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_modified_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"location_latitude\", \"datatype\": dbt.type_float()},\n    {\"name\": \"location_longitude\", \"datatype\": dbt.type_float()},\n    {\"name\": \"progress\", \"datatype\": dbt.type_int()},\n    {\"name\": \"recipient_email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_first_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_last_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recorded_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"start_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"status\", \"datatype\": dbt.type_int()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"user_language\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.dbt.type_int", "macro.dbt.type_float"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.624356, "supported_languages": null}, "macro.qualtrics_source.get_distribution_columns": {"name": "get_distribution_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_distribution_columns.sql", "original_file_path": "macros/get_distribution_columns.sql", "unique_id": "macro.qualtrics_source.get_distribution_columns", "macro_sql": "{% macro get_distribution_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"created_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"header_from_email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"header_from_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"header_reply_to_email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"header_subject\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"message_library_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"message_message_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"message_message_text\", \"datatype\": dbt.type_string()},\n    {\"name\": \"modified_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"organization_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"owner_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"parent_distribution_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_contact_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_library_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_mailing_list_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_sample_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"request_status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"request_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"send_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"survey_link_expiration_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"survey_link_link_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_link_survey_id\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('qualtrics__distribution_pass_through_columns')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.627399, "supported_languages": null}, "macro.qualtrics_source.get_user_columns": {"name": "get_user_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_user_columns.sql", "original_file_path": "macros/get_user_columns.sql", "unique_id": "macro.qualtrics_source.get_user_columns", "macro_sql": "{% macro get_user_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"account_creation_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"account_expiration_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"account_status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"division_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"first_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"language\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_login_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"last_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"organization_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"password_expiration_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"password_last_changed_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"response_count_auditable\", \"datatype\": dbt.type_int()},\n    {\"name\": \"response_count_deleted\", \"datatype\": dbt.type_int()},\n    {\"name\": \"response_count_generated\", \"datatype\": dbt.type_int()},\n    {\"name\": \"time_zone\", \"datatype\": dbt.type_string()},\n    {\"name\": \"unsubscribed\", \"datatype\": \"boolean\"},\n    {\"name\": \"user_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"username\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.629955, "supported_languages": null}, "macro.qualtrics_source.get_question_columns": {"name": "get_question_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_question_columns.sql", "original_file_path": "macros/get_question_columns.sql", "unique_id": "macro.qualtrics_source.get_question_columns", "macro_sql": "{% macro get_question_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"data_export_tag\", \"datatype\": dbt.type_string()},\n    {\"name\": \"data_visibility_hidden\", \"datatype\": \"boolean\"},\n    {\"name\": \"data_visibility_private\", \"datatype\": \"boolean\"},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"next_answer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"next_choice_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"question_description\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_description_option\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_text\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_text_unsafe\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"selector\", \"datatype\": dbt.type_string()},\n    {\"name\": \"sub_selector\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"validation_setting_force_response\", \"datatype\": dbt.type_string()},\n    {\"name\": \"validation_setting_force_response_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"validation_setting_type\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6321752, "supported_languages": null}, "macro.qualtrics_source.get_survey_columns": {"name": "get_survey_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_survey_columns.sql", "original_file_path": "macros/get_survey_columns.sql", "unique_id": "macro.qualtrics_source.get_survey_columns", "macro_sql": "{% macro get_survey_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"auto_scoring_category\", \"datatype\": dbt.type_string()},\n    {\"name\": \"brand_base_url\", \"datatype\": dbt.type_string()},\n    {\"name\": \"brand_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"bundle_short_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"composition_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"creator_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"default_scoring_category\", \"datatype\": dbt.type_string()},\n    {\"name\": \"division_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_accessed\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"last_activated\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"last_modified\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"owner_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"project_category\", \"datatype\": dbt.type_string()},\n    {\"name\": \"project_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"registry_sha\", \"datatype\": dbt.type_string()},\n    {\"name\": \"registry_version\", \"datatype\": dbt.type_string()},\n    {\"name\": \"schema_version\", \"datatype\": dbt.type_string()},\n    {\"name\": \"scoring_summary_after_questions\", \"datatype\": \"boolean\"},\n    {\"name\": \"scoring_summary_after_survey\", \"datatype\": \"boolean\"},\n    {\"name\": \"scoring_summary_category\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_status\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('qualtrics__survey_pass_through_columns')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6351721, "supported_languages": null}, "macro.qualtrics_source.get_directory_columns": {"name": "get_directory_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_directory_columns.sql", "original_file_path": "macros/get_directory_columns.sql", "unique_id": "macro.qualtrics_source.get_directory_columns", "macro_sql": "{% macro get_directory_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"deduplication_criteria_email\", \"datatype\": \"boolean\"},\n    {\"name\": \"deduplication_criteria_external_data_reference\", \"datatype\": \"boolean\"},\n    {\"name\": \"deduplication_criteria_first_name\", \"datatype\": \"boolean\"},\n    {\"name\": \"deduplication_criteria_last_name\", \"datatype\": \"boolean\"},\n    {\"name\": \"deduplication_criteria_phone\", \"datatype\": \"boolean\"},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"is_default\", \"datatype\": \"boolean\"},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('qualtrics__directory_pass_through_columns')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6364312, "supported_languages": null}, "macro.qualtrics_source.get_block_question_columns": {"name": "get_block_question_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_block_question_columns.sql", "original_file_path": "macros/get_block_question_columns.sql", "unique_id": "macro.qualtrics_source.get_block_question_columns", "macro_sql": "{% macro get_block_question_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"block_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.637137, "supported_languages": null}, "macro.qualtrics_source.get_question_response_columns": {"name": "get_question_response_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_question_response_columns.sql", "original_file_path": "macros/get_question_response_columns.sql", "unique_id": "macro.qualtrics_source.get_question_response_columns", "macro_sql": "{% macro get_question_response_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"loop_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_option_key\", \"datatype\": dbt.type_string()},\n    {\"name\": \"response_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"sub_question_key\", \"datatype\": dbt.type_string()},\n    {\"name\": \"sub_question_text\", \"datatype\": dbt.type_string()},\n    {\"name\": \"value\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.638376, "supported_languages": null}, "macro.qualtrics_source.get_core_mailing_list_columns": {"name": "get_core_mailing_list_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_core_mailing_list_columns.sql", "original_file_path": "macros/get_core_mailing_list_columns.sql", "unique_id": "macro.qualtrics_source.get_core_mailing_list_columns", "macro_sql": "{% macro get_core_mailing_list_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"library_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"category\", \"datatype\": dbt.type_string()},\n    {\"name\": \"folder\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.639285, "supported_languages": null}, "macro.qualtrics_source.get_directory_contact_columns": {"name": "get_directory_contact_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_directory_contact_columns.sql", "original_file_path": "macros/get_directory_contact_columns.sql", "unique_id": "macro.qualtrics_source.get_directory_contact_columns", "macro_sql": "{% macro get_directory_contact_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"creation_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"directory_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"directory_unsubscribe_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"directory_unsubscribed\", \"datatype\": \"boolean\"},\n    {\"name\": \"email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"email_domain\", \"datatype\": dbt.type_string()},\n    {\"name\": \"ext_ref\", \"datatype\": dbt.type_string()},\n    {\"name\": \"first_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"language\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_modified\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"last_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"phone\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('qualtrics__directory_contact_pass_through_columns')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6410398, "supported_languages": null}, "macro.qualtrics_source.get_distribution_contact_columns": {"name": "get_distribution_contact_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_distribution_contact_columns.sql", "original_file_path": "macros/get_distribution_contact_columns.sql", "unique_id": "macro.qualtrics_source.get_distribution_contact_columns", "macro_sql": "{% macro get_distribution_contact_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"contact_frequency_rule_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"contact_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"contact_lookup_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"distribution_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"opened_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"response_completed_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"response_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"response_started_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"sent_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_link\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_session_id\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.642616, "supported_languages": null}, "macro.qualtrics_source.get_question_option_columns": {"name": "get_question_option_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_question_option_columns.sql", "original_file_path": "macros/get_question_option_columns.sql", "unique_id": "macro.qualtrics_source.get_question_option_columns", "macro_sql": "{% macro get_question_option_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"key\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recode_value\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"text\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.6435258, "supported_languages": null}, "macro.qualtrics_source.get_contact_mailing_list_membership_columns": {"name": "get_contact_mailing_list_membership_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_contact_mailing_list_membership_columns.sql", "original_file_path": "macros/get_contact_mailing_list_membership_columns.sql", "unique_id": "macro.qualtrics_source.get_contact_mailing_list_membership_columns", "macro_sql": "{% macro get_contact_mailing_list_membership_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"contact_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"contact_lookup_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"directory_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"mailing_list_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"owner_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"unsubscribe_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"unsubscribed\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1690564819.644642, "supported_languages": null}}, "docs": {"doc.dbt.__overview__": {"name": "__overview__", "resource_type": "doc", "package_name": "dbt", "path": "overview.md", "original_file_path": "docs/overview.md", "unique_id": "doc.dbt.__overview__", "block_contents": "### Welcome!\n\nWelcome to the auto-generated documentation for your dbt project!\n\n### Navigation\n\nYou can use the `Project` and `Database` navigation tabs on the left side of the window to explore the models\nin your project.\n\n#### Project Tab\nThe `Project` tab mirrors the directory structure of your dbt project. In this tab, you can see all of the\nmodels defined in your dbt project, as well as models imported from dbt packages.\n\n#### Database Tab\nThe `Database` tab also exposes your models, but in a format that looks more like a database explorer. This view\nshows relations (tables and views) grouped into database schemas. Note that ephemeral models are _not_ shown\nin this interface, as they do not exist in the database.\n\n### Graph Exploration\nYou can click the blue icon on the bottom-right corner of the page to view the lineage graph of your models.\n\nOn model pages, you'll see the immediate parents and children of the model you're exploring. By clicking the `Expand`\nbutton at the top-right of this lineage pane, you'll be able to see all of the models that are used to build,\nor are built from, the model you're exploring.\n\nOnce expanded, you'll be able to use the `--select` and `--exclude` model selection syntax to filter the\nmodels in the graph. For more information on model selection, check out the [dbt docs](https://docs.getdbt.com/docs/model-selection-syntax).\n\nNote that you can also right-click on models to interactively filter and explore the graph.\n\n---\n\n### More information\n\n- [What is dbt](https://docs.getdbt.com/docs/introduction)?\n- Read the [dbt viewpoint](https://docs.getdbt.com/docs/viewpoint)\n- [Installation](https://docs.getdbt.com/docs/installation)\n- Join the [dbt Community](https://www.getdbt.com/community/) for questions and discussion"}, "doc.qualtrics.embedded_data": {"name": "embedded_data", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.embedded_data", "block_contents": "JSON of  Any extra information you would like recorded in addition to the question responses (from the `survey_embedded_data` source table)."}, "doc.qualtrics.count_published_versions": {"name": "count_published_versions", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_published_versions", "block_contents": "Number of versions that have been published for this survey."}, "doc.qualtrics.count_questions": {"name": "count_questions", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_questions", "block_contents": "Total number of questions (does not include deleted ones) in the survey."}, "doc.qualtrics.avg_response_duration_in_seconds": {"name": "avg_response_duration_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.avg_response_duration_in_seconds", "block_contents": "On average, how long it took a respondent to finish a survey in seconds."}, "doc.qualtrics.avg_survey_progress_pct": {"name": "avg_survey_progress_pct", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.avg_survey_progress_pct", "block_contents": "On average, how far a respondent has progressed through a survey as a percentage out of 100."}, "doc.qualtrics.median_response_duration_in_seconds": {"name": "median_response_duration_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.median_response_duration_in_seconds", "block_contents": "The median of how long it took a respondent to finish a survey in seconds."}, "doc.qualtrics.median_survey_progress_pct": {"name": "median_survey_progress_pct", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.median_survey_progress_pct", "block_contents": "The median of how far a respondent has progressed through a survey as a percentage out of 100."}, "doc.qualtrics.count_survey_responses": {"name": "count_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_survey_responses", "block_contents": "Total number of survey responses."}, "doc.qualtrics.count_completed_survey_responses": {"name": "count_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_completed_survey_responses", "block_contents": "Total number of _completed_ survey responses (ie `is_finished=true`)."}, "doc.qualtrics.count_survey_responses_30d": {"name": "count_survey_responses_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_survey_responses_30d", "block_contents": "Number of survey responses recorded in the past 30 days."}, "doc.qualtrics.count_completed_survey_responses_30d": {"name": "count_completed_survey_responses_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_completed_survey_responses_30d", "block_contents": "Number of _completed_ survey responses recorded in the past 30 days."}, "doc.qualtrics.count_anonymous_survey_responses": {"name": "count_anonymous_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_anonymous_survey_responses", "block_contents": "Number of recorded survey responses distributed anonymously."}, "doc.qualtrics.count_anonymous_completed_survey_responses": {"name": "count_anonymous_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_anonymous_completed_survey_responses", "block_contents": "Number of _completed_ recorded survey responses distributed anonymously."}, "doc.qualtrics.count_social_media_survey_responses": {"name": "count_social_media_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_social_media_survey_responses", "block_contents": "Number of recorded survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/)."}, "doc.qualtrics.count_social_media_completed_survey_responses": {"name": "count_social_media_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_social_media_completed_survey_responses", "block_contents": "Number of _completed_ survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/)."}, "doc.qualtrics.count_personal_link_survey_responses": {"name": "count_personal_link_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_personal_link_survey_responses", "block_contents": "Number of recorded survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/)."}, "doc.qualtrics.count_personal_link_completed_survey_responses": {"name": "count_personal_link_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_personal_link_completed_survey_responses", "block_contents": "Number of _completed_ survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/)."}, "doc.qualtrics.count_qr_code_survey_responses": {"name": "count_qr_code_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_qr_code_survey_responses", "block_contents": "Number of recorded survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/)."}, "doc.qualtrics.count_qr_code_completed_survey_responses": {"name": "count_qr_code_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_qr_code_completed_survey_responses", "block_contents": "Number of _completed_ survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/)."}, "doc.qualtrics.count_email_survey_responses": {"name": "count_email_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_email_survey_responses", "block_contents": "Number of recorded survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/)."}, "doc.qualtrics.count_email_completed_survey_responses": {"name": "count_email_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_email_completed_survey_responses", "block_contents": "Number of _completed_ survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/)."}, "doc.qualtrics.count_sms_survey_responses": {"name": "count_sms_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_sms_survey_responses", "block_contents": "Number of recorded survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/)."}, "doc.qualtrics.count_sms_completed_survey_responses": {"name": "count_sms_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_sms_completed_survey_responses", "block_contents": "Number of _completed_ survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/)."}, "doc.qualtrics.count_uncategorized_survey_responses": {"name": "count_uncategorized_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_uncategorized_survey_responses", "block_contents": "Number of recorded survey responses not distributed via the default channels."}, "doc.qualtrics.count_uncategorized_completed_survey_responses": {"name": "count_uncategorized_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_uncategorized_completed_survey_responses", "block_contents": "Number of _completed_ survey responses not distributed via the default channels."}, "doc.qualtrics.publisher_email": {"name": "publisher_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.publisher_email", "block_contents": "Email of the `USER` who published the latest survey version."}, "doc.qualtrics.creator_email": {"name": "creator_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.creator_email", "block_contents": "Email of the `USER` who created the object."}, "doc.qualtrics.owner_email": {"name": "owner_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.owner_email", "block_contents": "Email of the `USER` who owns the object."}, "doc.qualtrics.is_xm_directory_contact": {"name": "is_xm_directory_contact", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.is_xm_directory_contact", "block_contents": "Boolean representing whether the contact came from the XM Directory API endpoint (ie stored in the `directory_contact` table)."}, "doc.qualtrics.is_research_core_contact": {"name": "is_research_core_contact", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.is_research_core_contact", "block_contents": "Boolean representing whether the contact came from the (to-be-deprecated) Research Core API endpoint (ie stored in the `core_contact` table)."}, "doc.qualtrics.mailing_list_ids": {"name": "mailing_list_ids", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.mailing_list_ids", "block_contents": "Comma-separated list of mailing list IDs the record is associated with."}, "doc.qualtrics.count_surveys_sent_email": {"name": "count_surveys_sent_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_sent_email", "block_contents": "Distinct surveys sent to the contact via email invite."}, "doc.qualtrics.count_surveys_sent_sms": {"name": "count_surveys_sent_sms", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_sent_sms", "block_contents": "Distinct surveys sent to the contact via SMS invite."}, "doc.qualtrics.count_surveys_opened_email": {"name": "count_surveys_opened_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_opened_email", "block_contents": "Distinct surveys opened by the contact via email invite."}, "doc.qualtrics.count_surveys_opened_sms": {"name": "count_surveys_opened_sms", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_opened_sms", "block_contents": "Distinct surveys opened by the contact via SMS invite."}, "doc.qualtrics.count_surveys_started_email": {"name": "count_surveys_started_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_started_email", "block_contents": "Distinct surveys started by the contact via email invite."}, "doc.qualtrics.count_surveys_started_sms": {"name": "count_surveys_started_sms", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_started_sms", "block_contents": "Distinct surveys started by the contact via SMS invite."}, "doc.qualtrics.count_surveys_completed_email": {"name": "count_surveys_completed_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_completed_email", "block_contents": "Distinct surveys completed by the contact via email invite."}, "doc.qualtrics.count_surveys_completed_sms": {"name": "count_surveys_completed_sms", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_completed_sms", "block_contents": "Distinct surveys completed by the contact via SMS invite."}, "doc.qualtrics.total_count_surveys": {"name": "total_count_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_surveys", "block_contents": "Total distinct surveys distributed."}, "doc.qualtrics.total_count_completed_surveys": {"name": "total_count_completed_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_completed_surveys", "block_contents": "Total distinct surveys completed."}, "doc.qualtrics.last_survey_response_recorded_at": {"name": "last_survey_response_recorded_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.last_survey_response_recorded_at", "block_contents": "The most recent point in time when a survey response was recorded."}, "doc.qualtrics.first_survey_response_recorded_at": {"name": "first_survey_response_recorded_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.first_survey_response_recorded_at", "block_contents": "The earliest point in time when a survey response was recorded."}, "doc.qualtrics.count_mailing_lists_subscribed_to": {"name": "count_mailing_lists_subscribed_to", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_mailing_lists_subscribed_to", "block_contents": "Count of distinct mailing lists the contact is a member of and has not opted out of."}, "doc.qualtrics.count_mailing_lists_unsubscribed_from": {"name": "count_mailing_lists_unsubscribed_from", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_mailing_lists_unsubscribed_from", "block_contents": "Count of distinct mailing lists that the contact has opted out of receiving emails through."}, "doc.qualtrics.count_distinct_emails": {"name": "count_distinct_emails", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_distinct_emails", "block_contents": "Count of distinct email addresses in the directory."}, "doc.qualtrics.count_distinct_phones": {"name": "count_distinct_phones", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_distinct_phones", "block_contents": "Count of distinct phone numbers (stripped of any non-numeric characters) in the directory."}, "doc.qualtrics.total_count_contacts": {"name": "total_count_contacts", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_contacts", "block_contents": "Total number of contacts."}, "doc.qualtrics.total_count_unsubscribed_contacts": {"name": "total_count_unsubscribed_contacts", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_unsubscribed_contacts", "block_contents": "Total number of contacts who have unsubscribed from the directory."}, "doc.qualtrics.count_contacts_created_30d": {"name": "count_contacts_created_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_created_30d", "block_contents": "Number of contacts created in the last 30 days (inclusive) in this directory."}, "doc.qualtrics.count_contacts_unsubscribed_30d": {"name": "count_contacts_unsubscribed_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_unsubscribed_30d", "block_contents": "Number of contacts who have opted out of receiving communications through this directory in the last 30 days (inclusive)."}, "doc.qualtrics.count_contacts_sent_survey_30d": {"name": "count_contacts_sent_survey_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_sent_survey_30d", "block_contents": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive)."}, "doc.qualtrics.count_contacts_opened_survey_30d": {"name": "count_contacts_opened_survey_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_opened_survey_30d", "block_contents": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive) and opened it."}, "doc.qualtrics.count_contacts_started_survey_30d": {"name": "count_contacts_started_survey_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_started_survey_30d", "block_contents": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive)and started it."}, "doc.qualtrics.count_contacts_completed_survey_30d": {"name": "count_contacts_completed_survey_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_completed_survey_30d", "block_contents": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive) and completed it."}, "doc.qualtrics.count_surveys_sent_30d": {"name": "count_surveys_sent_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_sent_30d", "block_contents": "Number of _distinct_ surveys sent to contacts in the past 30 days (inclusive)."}, "doc.qualtrics.count_mailing_lists": {"name": "count_mailing_lists", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_mailing_lists", "block_contents": "Number of mailing lists the exist within the directory."}, "doc.qualtrics.parent_distribution_header_subject": {"name": "parent_distribution_header_subject", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.parent_distribution_header_subject", "block_contents": "Email subject; text or message id (MS_) of the parent distribution."}, "doc.qualtrics.recipient_mailing_list_name": {"name": "recipient_mailing_list_name", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.recipient_mailing_list_name", "block_contents": "Name of the mailing list associated with the distribution(s)."}, "doc.qualtrics.owner_first_name": {"name": "owner_first_name", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.owner_first_name", "block_contents": "First name of the `user` who owns the object."}, "doc.qualtrics.owner_last_name": {"name": "owner_last_name", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.owner_last_name", "block_contents": "Surname of the `user` who owns the object."}, "doc.qualtrics.count_contacts_sent_surveys": {"name": "count_contacts_sent_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_sent_surveys", "block_contents": "Count of unique contacts who have been sent surveys via the distribution."}, "doc.qualtrics.count_contacts_opened_surveys": {"name": "count_contacts_opened_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_opened_surveys", "block_contents": "Count of unique contacts who have opened surveys via the distribution."}, "doc.qualtrics.count_contacts_started_surveys": {"name": "count_contacts_started_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_started_surveys", "block_contents": "Count of unique contacts who have started surveys via the distribution."}, "doc.qualtrics.count_contacts_completed_surveys": {"name": "count_contacts_completed_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_completed_surveys", "block_contents": "Count of unique contacts who have completed surveys via the distribution."}, "doc.qualtrics.first_survey_sent_at": {"name": "first_survey_sent_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.first_survey_sent_at", "block_contents": "Timestamp of when the first survey was sent via this distribution."}, "doc.qualtrics.last_survey_sent_at": {"name": "last_survey_sent_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.last_survey_sent_at", "block_contents": "Timestamp of when a survey was most recently sent out via this distribution."}, "doc.qualtrics.first_survey_opened_at": {"name": "first_survey_opened_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.first_survey_opened_at", "block_contents": "Timestamp of when the first survey was opened via this distribution."}, "doc.qualtrics.last_survey_opened_at": {"name": "last_survey_opened_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.last_survey_opened_at", "block_contents": "Timestamp of when a survey was most recently opened via this distribution."}, "doc.qualtrics.first_response_completed_at": {"name": "first_response_completed_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.first_response_completed_at", "block_contents": "Timestamp of when the first survey was completed via this distribution."}, "doc.qualtrics.last_response_completed_at": {"name": "last_response_completed_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.last_response_completed_at", "block_contents": "Timestamp of when a survey was most recently completed via this distribution."}, "doc.qualtrics.avg_time_to_open_in_seconds": {"name": "avg_time_to_open_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.avg_time_to_open_in_seconds", "block_contents": "Average time difference between when a survey was sent and when it was opened."}, "doc.qualtrics.avg_time_to_start_in_seconds": {"name": "avg_time_to_start_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.avg_time_to_start_in_seconds", "block_contents": "Average time difference between when a survey was **sent** and when it was started."}, "doc.qualtrics.avg_time_to_complete_in_seconds": {"name": "avg_time_to_complete_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.avg_time_to_complete_in_seconds", "block_contents": "Average time difference between when a survey was **sent** and when it was completed."}, "doc.qualtrics.median_time_to_open_in_seconds": {"name": "median_time_to_open_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.median_time_to_open_in_seconds", "block_contents": "Median time difference between when a survey was sent and when it was opened."}, "doc.qualtrics.median_time_to_start_in_seconds": {"name": "median_time_to_start_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.median_time_to_start_in_seconds", "block_contents": "Median time difference between when a survey was **sent** and when it was started."}, "doc.qualtrics.median_time_to_complete_in_seconds": {"name": "median_time_to_complete_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.median_time_to_complete_in_seconds", "block_contents": "Median time difference between when a survey was **sent** and when it was completed."}, "doc.qualtrics.current_count_surveys_pending": {"name": "current_count_surveys_pending", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_pending", "block_contents": "Count of distributed surveys currently pending (the distribution is scheduled but has yet to be sent)."}, "doc.qualtrics.current_count_surveys_success": {"name": "current_count_surveys_success", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_success", "block_contents": "Count of distributed surveys currently with a status of `success` (the distribution was successfully delivered to the contact)."}, "doc.qualtrics.current_count_surveys_error": {"name": "current_count_surveys_error", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_error", "block_contents": "Count of distributed surveys currently with a status of `error` (an error occurred while attempting to send the distribution)."}, "doc.qualtrics.current_count_surveys_opened": {"name": "current_count_surveys_opened", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_opened", "block_contents": "Count of distributed surveys currently with a status of `opened` (the distribution was opened by the contact)."}, "doc.qualtrics.current_count_surveys_complaint": {"name": "current_count_surveys_complaint", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_complaint", "block_contents": "Count of distributed surveys currently with a status of `complaint` (the contact complained that the distribution was spam)."}, "doc.qualtrics.current_count_surveys_skipped": {"name": "current_count_surveys_skipped", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_skipped", "block_contents": "Count of distributed surveys currently with a status of `skipped` (the contact was skipped due to contact frequency rules or blacklisted contact information)."}, "doc.qualtrics.current_count_surveys_blocked": {"name": "current_count_surveys_blocked", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_blocked", "block_contents": "Count of distributed surveys currently with a status of `blocked` (the distribution failed to send, because the contact blocked it or the email was caught by the spam circuit breaker)."}, "doc.qualtrics.current_count_surveys_failure": {"name": "current_count_surveys_failure", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_failure", "block_contents": "Count of distributed surveys currently with a status of `failed` (the distribution failed to be delivered)."}, "doc.qualtrics.current_count_surveys_unknown": {"name": "current_count_surveys_unknown", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_unknown", "block_contents": "Count of distributed surveys currently with a status of `unknown` (the distribution failed for an unknown reason)."}, "doc.qualtrics.current_count_surveys_softbounce": {"name": "current_count_surveys_softbounce", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_softbounce", "block_contents": "Count of distributed surveys currently with a status of `softbounce` (the distribution bounced but can be retried)."}, "doc.qualtrics.current_count_surveys_hardbounce": {"name": "current_count_surveys_hardbounce", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_hardbounce", "block_contents": "Count of distributed surveys currently with a status of `hardbounce` (the distribution bounced and should not be retried)."}, "doc.qualtrics.current_count_surveys_surveystarted": {"name": "current_count_surveys_surveystarted", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_surveystarted", "block_contents": "Count of distributed surveys currently with a status of `surveystarted` (the contact started the survey distributed)."}, "doc.qualtrics.current_count_surveys_surveyfinished": {"name": "current_count_surveys_surveyfinished", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_surveyfinished", "block_contents": "Count of distributed surveys currently with a status of `surveyfinished` (the contact submitted a completed survey response)."}, "doc.qualtrics.current_count_surveys_surveyscreenedout": {"name": "current_count_surveys_surveyscreenedout", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_surveyscreenedout", "block_contents": "Count of distributed surveys currently with a status of `surveyscreenedout` (the contact screened out while taking the survey)."}, "doc.qualtrics.current_count_surveys_sessionexpired": {"name": "current_count_surveys_sessionexpired", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_sessionexpired", "block_contents": "Count of distributed surveys currently with a status of `sessionexpired` (the contact's survey session has expired)."}, "doc.qualtrics.current_count_surveys_surveypartiallyfinished": {"name": "current_count_surveys_surveypartiallyfinished", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_surveypartiallyfinished", "block_contents": "Count of distributed surveys currently with a status of `surveypartiallyfinished` (the contact submitted a partially completed survey response)."}, "doc.qualtrics.date_day": {"name": "date_day", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.date_day", "block_contents": "Day of activity in your Qualtrics instance."}, "doc.qualtrics.count_contacts_created": {"name": "count_contacts_created", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_created", "block_contents": "New contacts created on this day."}, "doc.qualtrics.count_contacts_unsubscribed_from_directory": {"name": "count_contacts_unsubscribed_from_directory", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_unsubscribed_from_directory", "block_contents": "Count of contacts that unsubscribed from a directory."}, "doc.qualtrics.count_contacts_unsubscribed_from_mailing_list": {"name": "count_contacts_unsubscribed_from_mailing_list", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_unsubscribed_from_mailing_list", "block_contents": "Count of contacts that unsubscribed from a mailing list."}, "doc.qualtrics.count_distinct_surveys_responded_to": {"name": "count_distinct_surveys_responded_to", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_distinct_surveys_responded_to", "block_contents": "Count of distinct survey templates (ie `survey_id`) that contacts responded to on this day."}, "doc.qualtrics.total_count_survey_responses": {"name": "total_count_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_survey_responses", "block_contents": "Count of distinct survey responses recorded on this day."}, "doc.qualtrics.total_count_completed_survey_responses": {"name": "total_count_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_completed_survey_responses", "block_contents": "Count of distinct complete survey responses recorded on this day."}, "doc.qualtrics.count_contacts_opened_sent_surveys": {"name": "count_contacts_opened_sent_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_opened_sent_surveys", "block_contents": "Count of contacts who opened a survey that was sent on this day."}, "doc.qualtrics.count_contacts_started_sent_surveys": {"name": "count_contacts_started_sent_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_started_sent_surveys", "block_contents": "Count of contacts who started a survey that was sent on this day."}, "doc.qualtrics.count_contacts_completed_sent_surveys": {"name": "count_contacts_completed_sent_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_completed_sent_surveys", "block_contents": "Count of contacts who completed a survey that was sent on this day."}, "doc.qualtrics_source._fivetran_synced": {"name": "_fivetran_synced", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source._fivetran_synced", "block_contents": "The time when a record was last updated by Fivetran."}, "doc.qualtrics_source.source_relation": {"name": "source_relation", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.source_relation", "block_contents": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors."}, "doc.qualtrics_source._fivetran_deleted": {"name": "_fivetran_deleted", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source._fivetran_deleted", "block_contents": "Boolean representing whether the record was soft-deleted in Qualtrics."}, "doc.qualtrics_source.block_locking": {"name": "block_locking", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.block_locking", "block_contents": "Boolean representing whether modification of the block and its contents is prevented."}, "doc.qualtrics_source.block_visibility": {"name": "block_visibility", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.block_visibility", "block_contents": "Whether the questions in the block are 'collapsed' or 'expanded' by default."}, "doc.qualtrics_source.block_description": {"name": "block_description", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.block_description", "block_contents": "Description given to the block."}, "doc.qualtrics_source.block_id": {"name": "block_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.block_id", "block_contents": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$"}, "doc.qualtrics_source.randomize_questions": {"name": "randomize_questions", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.randomize_questions", "block_contents": "If/how the block questions are randomized. Can be - `false` (no randomization), `RandomWithXPerPage` (randomize all and place X questions in each block), `RandomWithOnlyX` (randomly present only X out of the total questions), or `Advanced` (custom configuration)"}, "doc.qualtrics_source.survey_id": {"name": "survey_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_id", "block_contents": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$"}, "doc.qualtrics_source.block_type": {"name": "block_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.block_type", "block_contents": "Type of block. Can be `Trash`, `Default`, or `Standard`"}, "doc.qualtrics_source.user_id": {"name": "user_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.user_id", "block_contents": "Unique ID of the user. Match pattern  = ^((UR)|(URH))_[0-9a-zA-Z]{11,15}$"}, "doc.qualtrics_source.division_id": {"name": "division_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.division_id", "block_contents": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$"}, "doc.qualtrics_source.username": {"name": "username", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.username", "block_contents": "UI-facing username for the account."}, "doc.qualtrics_source.user_first_name": {"name": "user_first_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.user_first_name", "block_contents": "The user's first name or given name."}, "doc.qualtrics_source.user_last_name": {"name": "user_last_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.user_last_name", "block_contents": "User's surname."}, "doc.qualtrics_source.user_type": {"name": "user_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.user_type", "block_contents": "ID of the user type. See mappings of user types to their type IDs [here](https://api.qualtrics.com/dc2be1c61af61-user-type)."}, "doc.qualtrics_source.organization_id": {"name": "organization_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.organization_id", "block_contents": "ID of the organization/brand this record belongs to."}, "doc.qualtrics_source.language": {"name": "language", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.language", "block_contents": "The user's default language."}, "doc.qualtrics_source.unsubscribed": {"name": "unsubscribed", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.unsubscribed", "block_contents": "Boolean indicating if the user unsubscribed."}, "doc.qualtrics_source.account_creation_date": {"name": "account_creation_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.account_creation_date", "block_contents": "The date and time that the account was created. Dates and times are expressed in ISO 8601 format."}, "doc.qualtrics_source.account_expiration_date": {"name": "account_expiration_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.account_expiration_date", "block_contents": "The date the account expires. Dates and times are expressed in ISO 8601 format."}, "doc.qualtrics_source.account_status": {"name": "account_status", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.account_status", "block_contents": "Either `active`, `disabled`, or `notVerified`."}, "doc.qualtrics_source.email": {"name": "email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.email", "block_contents": "The user's email address."}, "doc.qualtrics_source.last_login_date": {"name": "last_login_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.last_login_date", "block_contents": "The date and time the user last logged into the user interface. Dates and times are expressed in ISO 8601 format."}, "doc.qualtrics_source.password_expiration_date": {"name": "password_expiration_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.password_expiration_date", "block_contents": "The date the account password expires. Dates and times are expressed in ISO 8601 format."}, "doc.qualtrics_source.password_last_changed_date": {"name": "password_last_changed_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.password_last_changed_date", "block_contents": "The date the account password was last changed. Dates and times are expressed in ISO 8601 format."}, "doc.qualtrics_source.response_count_auditable": {"name": "response_count_auditable", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_count_auditable", "block_contents": "The count of auditable responses."}, "doc.qualtrics_source.response_count_deleted": {"name": "response_count_deleted", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_count_deleted", "block_contents": "The count of deleted responses."}, "doc.qualtrics_source.response_count_generated": {"name": "response_count_generated", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_count_generated", "block_contents": "The count of generated responses."}, "doc.qualtrics_source.time_zone": {"name": "time_zone", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.time_zone", "block_contents": "The IANA time zone setting for the user."}, "doc.qualtrics_source.auto_scoring_category": {"name": "auto_scoring_category", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.auto_scoring_category", "block_contents": "The automated scoring category."}, "doc.qualtrics_source.brand_base_url": {"name": "brand_base_url", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.brand_base_url", "block_contents": "Base url for the organization/brand."}, "doc.qualtrics_source.brand_id": {"name": "brand_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.brand_id", "block_contents": "Unique ID of the organization/brand."}, "doc.qualtrics_source.bundle_short_name": {"name": "bundle_short_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.bundle_short_name", "block_contents": "Short name for the content bundle that the survey is from."}, "doc.qualtrics_source.composition_type": {"name": "composition_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.composition_type", "block_contents": "Survey composition type."}, "doc.qualtrics_source.creator_id": {"name": "creator_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.creator_id", "block_contents": "The unique identifier for a specific `USER` who created the survey."}, "doc.qualtrics_source.default_scoring_category": {"name": "default_scoring_category", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.default_scoring_category", "block_contents": "The default scoring category."}, "doc.qualtrics_source.is_active": {"name": "is_active", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.is_active", "block_contents": "DEPRECATED. Use `survey_status = 'active'` instead."}, "doc.qualtrics_source.last_accessed": {"name": "last_accessed", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.last_accessed", "block_contents": "The date the survey was last accessed."}, "doc.qualtrics_source.last_activated": {"name": "last_activated", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.last_activated", "block_contents": "The date the survey was last activated."}, "doc.qualtrics_source.owner_id": {"name": "owner_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.owner_id", "block_contents": "The unique identifier for a specific user who owns this."}, "doc.qualtrics_source.project_category": {"name": "project_category", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.project_category", "block_contents": "Project category of the survey.\n\nAllowed values - `CORE`, `CX`, `EX`, `BX`, `PX`"}, "doc.qualtrics_source.project_type": {"name": "project_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.project_type", "block_contents": "Type of [Qualtrics project](https://www.qualtrics.com/support/survey-platform/my-projects/my-projects-overview/#SelectingProjectType). Match pattern = ^[a-zA-Z]+$"}, "doc.qualtrics_source.registry_sha": {"name": "registry_sha", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.registry_sha", "block_contents": "The survey registry SHA."}, "doc.qualtrics_source.registry_version": {"name": "registry_version", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.registry_version", "block_contents": "The survey registry version."}, "doc.qualtrics_source.schema_version": {"name": "schema_version", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.schema_version", "block_contents": "Qualtrics schema version."}, "doc.qualtrics_source.scoring_summary_after_questions": {"name": "scoring_summary_after_questions", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.scoring_summary_after_questions", "block_contents": "Boolean representing whether the scoring summary is after questions."}, "doc.qualtrics_source.scoring_summary_after_survey": {"name": "scoring_summary_after_survey", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.scoring_summary_after_survey", "block_contents": "Boolean representing whether the scoring summary is after the survey."}, "doc.qualtrics_source.scoring_summary_category": {"name": "scoring_summary_category", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.scoring_summary_category", "block_contents": "The unique identifier for the scoring."}, "doc.qualtrics_source.survey_name": {"name": "survey_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_name", "block_contents": "Name of the survey."}, "doc.qualtrics_source.survey_status": {"name": "survey_status", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_status", "block_contents": "The distribution status of the survey, or a flag indicating that it's a library block\n\nAllowed values - `Inactive`, `Active`, `Pending`, `LibBlock`, `Deactive`, `Temporary`"}, "doc.qualtrics_source.data_export_tag": {"name": "data_export_tag", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.data_export_tag", "block_contents": "The tag to identify the question in exported data."}, "doc.qualtrics_source.choice_data_export_tag": {"name": "choice_data_export_tag", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.choice_data_export_tag", "block_contents": "The tag to identify the question choice in exported data."}, "doc.qualtrics_source.data_visibility_hidden": {"name": "data_visibility_hidden", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.data_visibility_hidden", "block_contents": "Boolean that represents whether the embedded data is hidden."}, "doc.qualtrics_source.data_visibility_private": {"name": "data_visibility_private", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.data_visibility_private", "block_contents": "Boolean that represents whether the embedded data is private."}, "doc.qualtrics_source.question_id": {"name": "question_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_id", "block_contents": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$"}, "doc.qualtrics_source.next_answer_id": {"name": "next_answer_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.next_answer_id", "block_contents": "For Matrix questions, the vertical options are denoted as \"Answers\" in the question's structure. \nID of the next answer for this question. ?"}, "doc.qualtrics_source.next_choice_id": {"name": "next_choice_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.next_choice_id", "block_contents": "For Matrix questions, the horizontal options are denoted as \"Choices\" in the question's structure. \n\nID of the next choice for this question. ?"}, "doc.qualtrics_source.question_description": {"name": "question_description", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_description", "block_contents": "Label to identify the question."}, "doc.qualtrics_source.question_description_option": {"name": "question_description_option", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_description_option", "block_contents": "An optional user-provided field for question descriptions. Accepted values = `UseText`, `SpecifyLabel`"}, "doc.qualtrics_source.question_text": {"name": "question_text", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_text", "block_contents": "Text for the question."}, "doc.qualtrics_source.question_text_unsafe": {"name": "question_text_unsafe", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_text_unsafe", "block_contents": "Un-paresed version of the question text."}, "doc.qualtrics_source.question_type": {"name": "question_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_type", "block_contents": "The type of question. Can be -\n`MC`,`Matrix`,`Captcha`,`CS`,`DB`,`DD`,`Draw`,`DynamicMatrix`,`FileUpload`,`GAP`,`HeatMap`,`HL`,`HotSpot`,`Meta`,`PGR`,`RO`,`SBS`,`Slider`,`SS`,`TE`,`Timing`,`TreeSelect`"}, "doc.qualtrics_source.selector": {"name": "selector", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.selector", "block_contents": "How answers are selected such as single answer, multiple answer, etc. Accepted values - \n- `Bipolar`\n- `Browser`\n- `Captcha`\n- `CompactView`\n- `CS`\n- `D`\n- `DL`\n- `DND`\n- `DragAndDrop`\n- `ESTB`\n- `FORM`\n- `FileUpload`\n- `GRB`\n- `HBAR`\n- `HR`\n- `HSLIDER`\n- `I`\n- `Image`\n- `LikeDislike`\n- `Likert`\n- `MACOL`\n- `MAHR`\n- `MAVR`\n- `ML`\n- `MSB`\n- `MaxDiff`\n- `NPS`\n- `OH`\n- `OnOff`\n- `POS`\n- `PTB`\n- `PW`\n- `PageTimer`\n- `Profile`\n- `RB`\n- `RO`\n- `SACOL`\n- `SAHR`\n- `SAVR`\n- `SB`\n- `SBSMatrix`\n- `SL`\n- `STAR`\n- `ScreenCapture`\n- `SearchOnly`\n- `Signature`\n- `TA`\n- `TB`\n- `TBelow`\n- `TE`\n- `TL`\n- `TRight`\n- `Text`\n- `V1`\n- `V2`\n- `VR`\n- `VRTL`\n- `WTXB`"}, "doc.qualtrics_source.sub_selector": {"name": "sub_selector", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.sub_selector", "block_contents": "How subquestion answers are selected. Allowed values - SingleAnswer, DL, GR, DND, Long, Medium, MultipleAnswer, Columns, NoColumns, Short, TX, TXOT, WOTXB, WOTB, WTB, WTXB, WVTB."}, "doc.qualtrics_source.validation_setting_force_response": {"name": "validation_setting_force_response", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.validation_setting_force_response", "block_contents": "The response from forcing respondents to answer a question or request that they consider answering the question before leaving the page"}, "doc.qualtrics_source.validation_setting_force_response_type": {"name": "validation_setting_force_response_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.validation_setting_force_response_type", "block_contents": "The type of response from forcing respondents to answer a question or request that they consider answering the question before leaving the page"}, "doc.qualtrics_source.validation_setting_type": {"name": "validation_setting_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.validation_setting_type", "block_contents": "The type of forced response validation that is set."}, "doc.qualtrics_source.question_response_fivetran_id": {"name": "question_response_fivetran_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_response_fivetran_id", "block_contents": "Fivetran-generated unique key hashed on `response_id`, `question_id`, `sub_question_key`, `sub_question_text` , `question_option_key` , `loop_id` and `importId`."}, "doc.qualtrics_source.loop_id": {"name": "loop_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.loop_id", "block_contents": "ID of the [Loop and Merge](https://www.qualtrics.com/support/survey-platform/survey-module/block-options/loop-and-merge/) object this response is associated with."}, "doc.qualtrics_source.question": {"name": "question", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question", "block_contents": "Question text."}, "doc.qualtrics_source.question_option_key": {"name": "question_option_key", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_option_key", "block_contents": "The key of the `QUESTION_OPTION` that was chosen."}, "doc.qualtrics_source.sub_question_option_key": {"name": "sub_question_option_key", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.sub_question_option_key", "block_contents": "The key of the `QUESTION_OPTION` that was chosen for the sub-question."}, "doc.qualtrics_source.sub_question_text": {"name": "sub_question_text", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.sub_question_text", "block_contents": "Sub question text."}, "doc.qualtrics_source.response_value": {"name": "response_value", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_value", "block_contents": "Value of the question response."}, "doc.qualtrics_source.recode_value": {"name": "recode_value", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recode_value", "block_contents": "Recode/mapping value for the option."}, "doc.qualtrics_source.question_option_text": {"name": "question_option_text", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_option_text", "block_contents": "Question option text."}, "doc.qualtrics_source.distribution_channel": {"name": "distribution_channel", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.distribution_channel", "block_contents": "The method by which the survey was distributed to respondents."}, "doc.qualtrics_source.duration_in_seconds": {"name": "duration_in_seconds", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.duration_in_seconds", "block_contents": "How long it took for the respondent to finish the survey in seconds."}, "doc.qualtrics_source.end_date": {"name": "end_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.end_date", "block_contents": "The point in time when the survey response was finished."}, "doc.qualtrics_source.finished": {"name": "finished", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.finished", "block_contents": "Boolean (stored as int) indicating if the respondent finished and submitted the survey, the value will be 1, otherwise it will be 0."}, "doc.qualtrics_source.response_id": {"name": "response_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_id", "block_contents": "The unique ID for the `SURVEY_RESPONSE`."}, "doc.qualtrics_source.ip_address": {"name": "ip_address", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.ip_address", "block_contents": "IP address of the recipient."}, "doc.qualtrics_source.last_modified_date": {"name": "last_modified_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.last_modified_date", "block_contents": "The point in time when the record was last modified."}, "doc.qualtrics_source.location_latitude": {"name": "location_latitude", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.location_latitude", "block_contents": "The approximate location of the respondent at the time the survey was taken."}, "doc.qualtrics_source.location_longitude": {"name": "location_longitude", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.location_longitude", "block_contents": "The approximate location of the respondent at the time the survey was taken."}, "doc.qualtrics_source.progress": {"name": "progress", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.progress", "block_contents": "How far the respondent has progressed through the survey as a percentage out of 100."}, "doc.qualtrics_source.recipient_email": {"name": "recipient_email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_email", "block_contents": "Email of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample)."}, "doc.qualtrics_source.recipient_first_name": {"name": "recipient_first_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_first_name", "block_contents": "First name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample)."}, "doc.qualtrics_source.recipient_last_name": {"name": "recipient_last_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_last_name", "block_contents": "Last name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample)."}, "doc.qualtrics_source.recorded_date": {"name": "recorded_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recorded_date", "block_contents": "The point in time when the survey response was recorded."}, "doc.qualtrics_source.start_date": {"name": "start_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.start_date", "block_contents": "The point in time when the survey response was recorded."}, "doc.qualtrics_source.status": {"name": "status", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.status", "block_contents": "The type of response."}, "doc.qualtrics_source.user_language": {"name": "user_language", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.user_language", "block_contents": "The language of the respondent."}, "doc.qualtrics_source.sub_question_key": {"name": "sub_question_key", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.sub_question_key", "block_contents": "Key of the sub question."}, "doc.qualtrics_source.creation_date": {"name": "creation_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.creation_date", "block_contents": "The creation date and time of the record, expressed as an ISO 8601 value."}, "doc.qualtrics_source.survey_version_description": {"name": "survey_version_description", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_version_description", "block_contents": "A user-provided description of the survey version."}, "doc.qualtrics_source.version_id": {"name": "version_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.version_id", "block_contents": "The unique identifier for this survey version."}, "doc.qualtrics_source.published": {"name": "published", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.published", "block_contents": "Boolean that, when true, publishes the version."}, "doc.qualtrics_source.publisher_user_id": {"name": "publisher_user_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.publisher_user_id", "block_contents": "ID of `USER` who published this survey version in your org."}, "doc.qualtrics_source.version_number": {"name": "version_number", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.version_number", "block_contents": "The version number of this survey."}, "doc.qualtrics_source.was_published": {"name": "was_published", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.was_published", "block_contents": "Boolean that is true if the survey version was published."}, "doc.qualtrics_source.import_id": {"name": "import_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.import_id", "block_contents": "A unique identifier to recognize this import job of embedded survey data."}, "doc.qualtrics_source.key": {"name": "key", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.key", "block_contents": "Key of the embedded survey data element."}, "doc.qualtrics_source.value": {"name": "value", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.value", "block_contents": "Key of the embedded survey data element."}, "doc.qualtrics_source.deduplication_criteria_email": {"name": "deduplication_criteria_email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.deduplication_criteria_email", "block_contents": "Boolean representing if directory contacts are deduped based on email."}, "doc.qualtrics_source.deduplication_criteria_external_data_reference": {"name": "deduplication_criteria_external_data_reference", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.deduplication_criteria_external_data_reference", "block_contents": "Boolean representing if directory contacts are deduped based on an external data reference."}, "doc.qualtrics_source.deduplication_criteria_first_name": {"name": "deduplication_criteria_first_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.deduplication_criteria_first_name", "block_contents": "Boolean representing if directory contacts are deduped based on first name."}, "doc.qualtrics_source.deduplication_criteria_last_name": {"name": "deduplication_criteria_last_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.deduplication_criteria_last_name", "block_contents": "Boolean representing if directory contacts are deduped based on last name."}, "doc.qualtrics_source.deduplication_criteria_phone": {"name": "deduplication_criteria_phone", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.deduplication_criteria_phone", "block_contents": "Boolean representing if directory contacts are deduped based on phone number."}, "doc.qualtrics_source.directory_id": {"name": "directory_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.directory_id", "block_contents": "The directory ID, also known as a pool ID. Example - POOL_012345678901234"}, "doc.qualtrics_source.is_default": {"name": "is_default", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.is_default", "block_contents": "Boolean representing if this directory is the default one for your brand. \n\nThe default directory will be the first directory listed in the dropdown menu in Qualtrics."}, "doc.qualtrics_source.directory_name": {"name": "directory_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.directory_name", "block_contents": "Name of the directory."}, "doc.qualtrics_source.directory_unsubscribe_date": {"name": "directory_unsubscribe_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.directory_unsubscribe_date", "block_contents": "Date and time the user opted out of the directory."}, "doc.qualtrics_source.directory_unsubscribed": {"name": "directory_unsubscribed", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.directory_unsubscribed", "block_contents": "Boolean indicating whether the contact unsubscribed from all contact from the Directory."}, "doc.qualtrics_source.contact_email": {"name": "contact_email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_email", "block_contents": "Contact's email address. Must be in proper email format."}, "doc.qualtrics_source.email_domain": {"name": "email_domain", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.email_domain", "block_contents": "Domain of the contact's email address."}, "doc.qualtrics_source.ext_ref": {"name": "ext_ref", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.ext_ref", "block_contents": "The external reference for the contact."}, "doc.qualtrics_source.contact_first_name": {"name": "contact_first_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_first_name", "block_contents": "Contact's first name."}, "doc.qualtrics_source.contact_id": {"name": "contact_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_id", "block_contents": "The ID for the contact. Example - CID_012345678901234"}, "doc.qualtrics_source.contact_last_name": {"name": "contact_last_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_last_name", "block_contents": "Contact's surname."}, "doc.qualtrics_source.phone": {"name": "phone", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.phone", "block_contents": "Contact's phone number."}, "doc.qualtrics_source.write_blanks": {"name": "write_blanks", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.write_blanks", "block_contents": "Boolean of whether to write blanks(?) or not."}, "doc.qualtrics_source.header_from_email": {"name": "header_from_email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.header_from_email", "block_contents": "Email from address."}, "doc.qualtrics_source.header_from_name": {"name": "header_from_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.header_from_name", "block_contents": "Email from name."}, "doc.qualtrics_source.header_reply_to_email": {"name": "header_reply_to_email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.header_reply_to_email", "block_contents": "Email reply-to address."}, "doc.qualtrics_source.header_subject": {"name": "header_subject", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.header_subject", "block_contents": "Email subject; text or message id (MS_)."}, "doc.qualtrics_source.distribution_id": {"name": "distribution_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.distribution_id", "block_contents": "The unique Distribution ID."}, "doc.qualtrics_source.message_library_id": {"name": "message_library_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.message_library_id", "block_contents": "Library ID of the message."}, "doc.qualtrics_source.message_message_id": {"name": "message_message_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.message_message_id", "block_contents": "The ID for the desired library message."}, "doc.qualtrics_source.message_message_text": {"name": "message_message_text", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.message_message_text", "block_contents": "Text of the message to send."}, "doc.qualtrics_source.parent_distribution_id": {"name": "parent_distribution_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.parent_distribution_id", "block_contents": "The unique ID of the parent distribution."}, "doc.qualtrics_source.recipient_contact_id": {"name": "recipient_contact_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_contact_id", "block_contents": "The contact ID of the recipient. Can point to `directory_contact` or `core_contact`."}, "doc.qualtrics_source.recipient_library_id": {"name": "recipient_library_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_library_id", "block_contents": "Library ID of the message."}, "doc.qualtrics_source.recipient_mailing_list_id": {"name": "recipient_mailing_list_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_mailing_list_id", "block_contents": "The mailing list or contact group associated with the distribution(s). Can point to `directory_mailing_list` or `core_mailing_list`."}, "doc.qualtrics_source.recipient_sample_id": {"name": "recipient_sample_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_sample_id", "block_contents": "The ID for the desired sample. Can point to `directory_sample` or `core_sample` (not included in package)."}, "doc.qualtrics_source.request_status": {"name": "request_status", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.request_status", "block_contents": "The distribution's status. States include `Pending` and `Done`. The Pending state is for email that is scheduled to be sent at a later time."}, "doc.qualtrics_source.request_type": {"name": "request_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.request_type", "block_contents": "The distribution's type. Types include `Invite`, `Reminder`, and `ThankYou`."}, "doc.qualtrics_source.send_date": {"name": "send_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.send_date", "block_contents": "The date and time the request will be or was sent (in ISO 8601 format). Note that this date and time could be in the future if the email distribution is scheduled to send after a delay."}, "doc.qualtrics_source.survey_link_expiration_date": {"name": "survey_link_expiration_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_link_expiration_date", "block_contents": "The expiration date for the link associated with the survey distribution. Null if `request_type` != `Invite`."}, "doc.qualtrics_source.survey_link_link_type": {"name": "survey_link_link_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_link_link_type", "block_contents": "The link type (`Individual`, `Anonymous`, or `Multiple`) for the link associated with the survey distribution. Null if `request_type` != `Invite`."}, "doc.qualtrics_source.survey_link_survey_id": {"name": "survey_link_survey_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_link_survey_id", "block_contents": "The unique survey ID. Will be non-null even if `request_type` != `Invite`."}, "doc.qualtrics_source.contact_frequency_rule_id": {"name": "contact_frequency_rule_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_frequency_rule_id", "block_contents": "The contact frequency Rule ID. Ex - FQ_AAB234234"}, "doc.qualtrics_source.contact_lookup_id": {"name": "contact_lookup_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_lookup_id", "block_contents": "Optional contact lookup ID for individual distribution."}, "doc.qualtrics_source.opened_at": {"name": "opened_at", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.opened_at", "block_contents": "The time a survey was opened by the respondent, will be null if the survey has not been opened."}, "doc.qualtrics_source.response_completed_at": {"name": "response_completed_at", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_completed_at", "block_contents": "The time a response was completed, will be null for uncompleted surveys."}, "doc.qualtrics_source.distribution_response_id": {"name": "distribution_response_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.distribution_response_id", "block_contents": "The ID of the survey response submitted by this contact. If no survey response has been submitted, this value will be null. 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Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1703019362.881442, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__directory`", "raw_code": "with directory as (\n\n    select *\n    from {{ var('directory') }}\n),\n\ndirectory_contact as (\n    \n    select *\n    from {{ var('directory_contact') }}\n),\n\ndirectory_mailing_list as (\n\n    select *\n    from {{ var('directory_mailing_list') }}\n),\n\ndistribution_contact as (\n\n    select *\n    from {{ var('distribution_contact') }}\n),\n\ndistribution as (\n\n    select *\n    from {{ var('distribution') }}\n),\n\nagg_mailing_lists as (\n    \n    select \n        directory_id,\n        source_relation,\n        count(distinct mailing_list_id) as count_mailing_lists\n    \n    from directory_mailing_list\n    where not coalesce(is_deleted, false)\n    group by 1,2\n),\n\nagg_contacts as (\n\n    select \n        directory_id,\n        source_relation,\n        count(distinct email) as count_distinct_emails,\n        count(distinct phone) as count_distinct_phones,\n        count(distinct contact_id) as total_count_contacts,\n        count(distinct case when is_unsubscribed_from_directory then contact_id else null end) as total_count_unsubscribed_contacts,\n        count(distinct case when {{ fivetran_utils.timestamp_diff(first_date=\"created_at\", second_date=dbt.current_timestamp(), datepart=\"day\") }} <= 30 then contact_id else null end) as count_contacts_created_30d,\n        count(distinct case when is_unsubscribed_from_directory and {{ fivetran_utils.timestamp_diff(first_date=\"unsubscribed_from_directory_at\", second_date=dbt.current_timestamp(), datepart=\"day\") }} <= 30 then contact_id else null end) as count_contacts_unsubscribed_30d\n\n    from directory_contact\n    group by 1,2\n),\n\nagg_distributions as (\n-- of contacts sent surveys in the past 30 days, did they open or respond to the surveys?\n    select \n        directory_contact.directory_id,\n        directory_contact.source_relation, \n        count(distinct distribution_contact.contact_id) as count_contacts_sent_survey_30d, \n        count(distinct case when distribution_contact.opened_at is not null then distribution_contact.contact_id end) as count_contacts_opened_survey_30d,\n        count(distinct case when distribution_contact.response_started_at is not null then distribution_contact.contact_id end) as count_contacts_started_survey_30d,\n        count(distinct case when distribution_contact.response_completed_at is not null then distribution_contact.contact_id end) as count_contacts_completed_survey_30d,\n        count(distinct distribution.survey_id) as count_surveys_sent_30d\n        \n    from distribution_contact\n    inner join directory_contact \n        on distribution_contact.contact_id = directory_contact.contact_id\n        and distribution_contact.source_relation = directory_contact.source_relation\n    left join distribution \n        on distribution_contact.distribution_id = distribution.distribution_id \n        and distribution_contact.source_relation = distribution.source_relation\n    where sent_at is not null \n        and {{ fivetran_utils.timestamp_diff(first_date=\"distribution_contact.sent_at\", second_date=dbt.current_timestamp(), datepart=\"day\") }} <= 30\n    \n    group by 1,2\n),\n\nfinal as (\n\n    select \n        directory.*,\n        coalesce(agg_contacts.count_distinct_emails, 0) as count_distinct_emails,\n        coalesce(agg_contacts.count_distinct_phones, 0) as count_distinct_phones,\n        coalesce(agg_contacts.total_count_contacts, 0) as total_count_contacts,\n        coalesce(agg_contacts.total_count_unsubscribed_contacts, 0) as total_count_unsubscribed_contacts,\n        coalesce(agg_contacts.count_contacts_created_30d, 0) as count_contacts_created_30d,\n        coalesce(agg_contacts.count_contacts_unsubscribed_30d, 0) as count_contacts_unsubscribed_30d,\n        coalesce(agg_distributions.count_contacts_sent_survey_30d, 0) as count_contacts_sent_survey_30d,\n        coalesce(agg_distributions.count_contacts_opened_survey_30d, 0) as count_contacts_opened_survey_30d,\n        coalesce(agg_distributions.count_contacts_started_survey_30d, 0) as count_contacts_started_survey_30d,\n        coalesce(agg_distributions.count_contacts_completed_survey_30d, 0) as count_contacts_completed_survey_30d,\n        coalesce(agg_distributions.count_surveys_sent_30d, 0) as count_surveys_sent_30d,\n        coalesce(agg_mailing_lists.count_mailing_lists, 0) as count_mailing_lists\n\n    from directory \n    left join agg_contacts\n        on directory.directory_id = agg_contacts.directory_id\n        and directory.source_relation = agg_contacts.source_relation\n    left join agg_distributions\n        on directory.directory_id = agg_distributions.directory_id\n        and directory.source_relation = agg_distributions.source_relation\n    left join agg_mailing_lists\n        on directory.directory_id = agg_mailing_lists.directory_id\n        and directory.source_relation = agg_mailing_lists.source_relation\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__directory", "package": null, "version": null}, {"name": "stg_qualtrics__directory_contact", "package": null, "version": null}, {"name": "stg_qualtrics__directory_mailing_list", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_contact", "package": null, "version": null}, {"name": "stg_qualtrics__distribution", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.current_timestamp", "macro.fivetran_utils.timestamp_diff"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory", "model.qualtrics_source.stg_qualtrics__directory_contact", "model.qualtrics_source.stg_qualtrics__directory_mailing_list", "model.qualtrics_source.stg_qualtrics__distribution_contact", "model.qualtrics_source.stg_qualtrics__distribution"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__directory.sql", "compiled": true, "compiled_code": "with directory as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory`\n),\n\ndirectory_contact as (\n    \n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ndirectory_mailing_list as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`\n),\n\ndistribution_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\ndistribution as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`\n),\n\nagg_mailing_lists as (\n    \n    select \n        directory_id,\n        source_relation,\n        count(distinct mailing_list_id) as count_mailing_lists\n    \n    from directory_mailing_list\n    where not coalesce(is_deleted, false)\n    group by 1,2\n),\n\nagg_contacts as (\n\n    select \n        directory_id,\n        source_relation,\n        count(distinct email) as count_distinct_emails,\n        count(distinct phone) as count_distinct_phones,\n        count(distinct contact_id) as total_count_contacts,\n        count(distinct case when is_unsubscribed_from_directory then contact_id else null end) as total_count_unsubscribed_contacts,\n        count(distinct case when \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        created_at,\n        day\n    )\n\n\n <= 30 then contact_id else null end) as count_contacts_created_30d,\n        count(distinct case when is_unsubscribed_from_directory and \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        unsubscribed_from_directory_at,\n        day\n    )\n\n\n <= 30 then contact_id else null end) as count_contacts_unsubscribed_30d\n\n    from directory_contact\n    group by 1,2\n),\n\nagg_distributions as (\n-- of contacts sent surveys in the past 30 days, did they open or respond to the surveys?\n    select \n        directory_contact.directory_id,\n        directory_contact.source_relation, \n        count(distinct distribution_contact.contact_id) as count_contacts_sent_survey_30d, \n        count(distinct case when distribution_contact.opened_at is not null then distribution_contact.contact_id end) as count_contacts_opened_survey_30d,\n        count(distinct case when distribution_contact.response_started_at is not null then distribution_contact.contact_id end) as count_contacts_started_survey_30d,\n        count(distinct case when distribution_contact.response_completed_at is not null then distribution_contact.contact_id end) as count_contacts_completed_survey_30d,\n        count(distinct distribution.survey_id) as count_surveys_sent_30d\n        \n    from distribution_contact\n    inner join directory_contact \n        on distribution_contact.contact_id = directory_contact.contact_id\n        and distribution_contact.source_relation = directory_contact.source_relation\n    left join distribution \n        on distribution_contact.distribution_id = distribution.distribution_id \n        and distribution_contact.source_relation = distribution.source_relation\n    where sent_at is not null \n        and \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        distribution_contact.sent_at,\n        day\n    )\n\n\n <= 30\n    \n    group by 1,2\n),\n\nfinal as (\n\n    select \n        directory.*,\n        coalesce(agg_contacts.count_distinct_emails, 0) as count_distinct_emails,\n        coalesce(agg_contacts.count_distinct_phones, 0) as count_distinct_phones,\n        coalesce(agg_contacts.total_count_contacts, 0) as total_count_contacts,\n        coalesce(agg_contacts.total_count_unsubscribed_contacts, 0) as total_count_unsubscribed_contacts,\n        coalesce(agg_contacts.count_contacts_created_30d, 0) as count_contacts_created_30d,\n        coalesce(agg_contacts.count_contacts_unsubscribed_30d, 0) as count_contacts_unsubscribed_30d,\n        coalesce(agg_distributions.count_contacts_sent_survey_30d, 0) as count_contacts_sent_survey_30d,\n        coalesce(agg_distributions.count_contacts_opened_survey_30d, 0) as count_contacts_opened_survey_30d,\n        coalesce(agg_distributions.count_contacts_started_survey_30d, 0) as count_contacts_started_survey_30d,\n        coalesce(agg_distributions.count_contacts_completed_survey_30d, 0) as count_contacts_completed_survey_30d,\n        coalesce(agg_distributions.count_surveys_sent_30d, 0) as count_surveys_sent_30d,\n        coalesce(agg_mailing_lists.count_mailing_lists, 0) as count_mailing_lists\n\n    from directory \n    left join agg_contacts\n        on directory.directory_id = agg_contacts.directory_id\n        and directory.source_relation = agg_contacts.source_relation\n    left join agg_distributions\n        on directory.directory_id = agg_distributions.directory_id\n        and directory.source_relation = agg_distributions.source_relation\n    left join agg_mailing_lists\n        on directory.directory_id = agg_mailing_lists.directory_id\n        and directory.source_relation = agg_mailing_lists.source_relation\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics.qualtrics__distribution": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics", "name": "qualtrics__distribution", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__distribution.sql", "original_file_path": "models/qualtrics__distribution.sql", "unique_id": "model.qualtrics.qualtrics__distribution", "fqn": ["qualtrics", "qualtrics__distribution"], "alias": "qualtrics__distribution", "checksum": {"name": "sha256", "checksum": "c1ab6dabd22ac2fc2ca59ac1a18fc4a4f455de56b09d7636ac59ce3d3c1e18d3"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package"], "description": "Table of each survey's distribution (method of reaching out to XM directory contacts) enhanced with  survey response and status metrics.\n", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_email": {"name": "header_from_email", "description": "Email from address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_name": {"name": "header_from_name", "description": "Email from name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_reply_to_email": {"name": "header_reply_to_email", "description": "Email reply-to address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_subject": {"name": "header_subject", "description": "Email subject; text or message id (MS_).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_id": {"name": "distribution_id", "description": "The unique Distribution ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_library_id": {"name": "message_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_id": {"name": "message_id", "description": "The ID for the desired library message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_text": {"name": "message_text", "description": "Text of the message to send.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "organization_id": {"name": "organization_id", "description": "ID of the organization/brand this record belongs to.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "parent_distribution_id": {"name": "parent_distribution_id", "description": "The unique ID of the parent distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_contact_id": {"name": "recipient_contact_id", "description": "The contact ID of the recipient. Can point to `directory_contact` or `core_contact`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_library_id": {"name": "recipient_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_mailing_list_id": {"name": "recipient_mailing_list_id", "description": "The mailing list or contact group associated with the distribution(s). Can point to `directory_mailing_list` or `core_mailing_list`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_sample_id": {"name": "recipient_sample_id", "description": "The ID for the desired sample. Can point to `directory_sample` or `core_sample` (not included in package).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_status": {"name": "request_status", "description": "The distribution's status. States include `Pending` and `Done`. The Pending state is for email that is scheduled to be sent at a later time.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_type": {"name": "request_type", "description": "The distribution's type. Types include `Invite`, `Reminder`, and `ThankYou`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "send_at": {"name": "send_at", "description": "The date and time the request will be or was sent (in ISO 8601 format). Note that this date and time could be in the future if the email distribution is scheduled to send after a delay.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_expires_at": {"name": "survey_link_expires_at", "description": "The expiration date for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_type": {"name": "survey_link_type", "description": "The link type (`Individual`, `Anonymous`, or `Multiple`) for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique survey ID. Will be non-null even if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "parent_distribution_header_subject": {"name": "parent_distribution_header_subject", "description": "Email subject; text or message id (MS_) of the parent distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_mailing_list_name": {"name": "recipient_mailing_list_name", "description": "Name of the mailing list associated with the distribution(s).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_email": {"name": "owner_email", "description": "Email of the `USER` who owns the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_first_name": {"name": "owner_first_name", "description": "First name of the `user` who owns the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_last_name": {"name": "owner_last_name", "description": "Surname of the `user` who owns the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_contacts": {"name": "total_count_contacts", "description": "Total number of contacts.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_sent_surveys": {"name": "count_contacts_sent_surveys", "description": "Count of unique contacts who have been sent surveys via the distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_opened_surveys": {"name": "count_contacts_opened_surveys", "description": "Count of unique contacts who have opened surveys via the distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_started_surveys": {"name": "count_contacts_started_surveys", "description": "Count of unique contacts who have started surveys via the distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_completed_surveys": {"name": "count_contacts_completed_surveys", "description": "Count of unique contacts who have completed surveys via the distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_survey_sent_at": {"name": "first_survey_sent_at", "description": "Timestamp of when the first survey was sent via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_survey_sent_at": {"name": "last_survey_sent_at", "description": "Timestamp of when a survey was most recently sent out via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_survey_opened_at": {"name": "first_survey_opened_at", "description": "Timestamp of when the first survey was opened via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_survey_opened_at": {"name": "last_survey_opened_at", "description": "Timestamp of when a survey was most recently opened via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_response_completed_at": {"name": "first_response_completed_at", "description": "Timestamp of when the first survey was completed via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_response_completed_at": {"name": "last_response_completed_at", "description": "Timestamp of when a survey was most recently completed via this distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_time_to_open_in_seconds": {"name": "avg_time_to_open_in_seconds", "description": "Average time difference between when a survey was sent and when it was opened.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_time_to_start_in_seconds": {"name": "avg_time_to_start_in_seconds", "description": "Average time difference between when a survey was **sent** and when it was started.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_time_to_complete_in_seconds": {"name": "avg_time_to_complete_in_seconds", "description": "Average time difference between when a survey was **sent** and when it was completed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_time_to_open_in_seconds": {"name": "median_time_to_open_in_seconds", "description": "Median time difference between when a survey was sent and when it was opened.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_time_to_start_in_seconds": {"name": "median_time_to_start_in_seconds", "description": "Median time difference between when a survey was **sent** and when it was started.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_time_to_complete_in_seconds": {"name": "median_time_to_complete_in_seconds", "description": "Median time difference between when a survey was **sent** and when it was completed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_pending": {"name": "current_count_surveys_pending", "description": "Count of distributed surveys currently pending (the distribution is scheduled but has yet to be sent).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_success": {"name": "current_count_surveys_success", "description": "Count of distributed surveys currently with a status of `success` (the distribution was successfully delivered to the contact).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_error": {"name": "current_count_surveys_error", "description": "Count of distributed surveys currently with a status of `error` (an error occurred while attempting to send the distribution).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_opened": {"name": "current_count_surveys_opened", "description": "Count of distributed surveys currently with a status of `opened` (the distribution was opened by the contact).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_complaint": {"name": "current_count_surveys_complaint", "description": "Count of distributed surveys currently with a status of `complaint` (the contact complained that the distribution was spam).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_skipped": {"name": "current_count_surveys_skipped", "description": "Count of distributed surveys currently with a status of `skipped` (the contact was skipped due to contact frequency rules or blacklisted contact information).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_blocked": {"name": "current_count_surveys_blocked", "description": "Count of distributed surveys currently with a status of `blocked` (the distribution failed to send, because the contact blocked it or the email was caught by the spam circuit breaker).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_failure": {"name": "current_count_surveys_failure", "description": "Count of distributed surveys currently with a status of `failed` (the distribution failed to be delivered).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_unknown": {"name": "current_count_surveys_unknown", "description": "Count of distributed surveys currently with a status of `unknown` (the distribution failed for an unknown reason).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_softbounce": {"name": "current_count_surveys_softbounce", "description": "Count of distributed surveys currently with a status of `softbounce` (the distribution bounced but can be retried).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_hardbounce": {"name": "current_count_surveys_hardbounce", "description": "Count of distributed surveys currently with a status of `hardbounce` (the distribution bounced and should not be retried).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_surveystarted": {"name": "current_count_surveys_surveystarted", "description": "Count of distributed surveys currently with a status of `surveystarted` (the contact started the survey distributed).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_surveyfinished": {"name": "current_count_surveys_surveyfinished", "description": "Count of distributed surveys currently with a status of `surveyfinished` (the contact submitted a completed survey response).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_surveyscreenedout": {"name": "current_count_surveys_surveyscreenedout", "description": "Count of distributed surveys currently with a status of `surveyscreenedout` (the contact screened out while taking the survey).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_sessionexpired": {"name": "current_count_surveys_sessionexpired", "description": "Count of distributed surveys currently with a status of `sessionexpired` (the contact's survey session has expired).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "current_count_surveys_surveypartiallyfinished": {"name": "current_count_surveys_surveypartiallyfinished", "description": "Count of distributed surveys currently with a status of `surveypartiallyfinished` (the contact submitted a partially completed survey response).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1703019362.890551, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__distribution`", "raw_code": "with distribution as (\n\n    select *\n    from {{ var('distribution') }}\n),\n\nqualtrics_user as (\n\n    select *\n    from {{ var('user') }}\n),\n\ndirectory_mailing_list as (\n\n    select *\n    from {{ var('directory_mailing_list') }}\n),\n\n{% if var('qualtrics__using_core_mailing_lists', false) %}\ncore_mailing_list as (\n\n    select *\n    from {{ var('core_mailing_list') }}\n),\n{% endif %}\n\ndistribution_contact as (\n\n    select \n        *,\n        -- all relative to sent_at (should response be relative to opened_at?)\n        {{ fivetran_utils.timestamp_diff(first_date=\"sent_at\", second_date=\"opened_at\", datepart=\"second\") }} as time_to_open_in_seconds,\n        {{ fivetran_utils.timestamp_diff(first_date=\"sent_at\", second_date=\"response_started_at\", datepart=\"second\") }} as time_to_start_in_seconds,\n        {{ fivetran_utils.timestamp_diff(first_date=\"sent_at\", second_date=\"response_completed_at\", datepart=\"second\") }} as time_to_complete_in_seconds\n\n\n    from {{ var('distribution_contact') }}\n),\n\npivoted_metrics as (\n\n    select \n        distribution_id,\n        source_relation,\n        -- current metrics\n        {% for status in ('pending','success','error','opened','complaint','skipped','blocked','failure','unknown','softbounce','hardbounce','surveystarted','surveypartiallyfinished', 'surveyfinished','surveyscreenedout','sessionexpired') %}\n        sum(case when lower(status) = '{{ status }}' then 1 else 0 end) as current_count_surveys_{{ status }},\n        {% endfor %}\n        count(distinct contact_id) as total_count_contacts,\n        count(distinct case when sent_at is not null then contact_id else null end) as count_contacts_sent_surveys,\n        count(distinct case when opened_at is not null then contact_id else null end) as count_contacts_opened_surveys,\n        count(distinct case when response_started_at is not null then contact_id else null end) as count_contacts_started_surveys,\n        count(distinct case when response_completed_at is not null then contact_id else null end) as count_contacts_completed_surveys,\n        min(sent_at) as first_survey_sent_at,\n        max(sent_at) as last_survey_sent_at,\n        min(opened_at) as first_survey_opened_at,\n        max(opened_at) as last_survey_opened_at,\n        min(response_completed_at) as first_response_completed_at,\n        max(response_completed_at) as last_response_completed_at,\n        avg(time_to_open_in_seconds) as avg_time_to_open_in_seconds,\n        avg(time_to_start_in_seconds) as avg_time_to_start_in_seconds,\n        avg(time_to_complete_in_seconds) as avg_time_to_complete_in_seconds\n\n    from distribution_contact\n    group by 1,2\n),\n\ncalc_medians as (\n    \n    select \n        distribution_id,\n        source_relation,\n        median_time_to_open_in_seconds,\n        median_time_to_start_in_seconds,\n        median_time_to_complete_in_seconds\n    from (\n        select \n            distribution_id, \n            source_relation,\n            {{ fivetran_utils.percentile(percentile_field='time_to_open_in_seconds', partition_field='distribution_id,source_relation', percent='0.5') }} as median_time_to_open_in_seconds,\n            {{ fivetran_utils.percentile(percentile_field='time_to_start_in_seconds', partition_field='distribution_id,source_relation', percent='0.5') }} as median_time_to_start_in_seconds,\n            {{ fivetran_utils.percentile(percentile_field='time_to_complete_in_seconds', partition_field='distribution_id,source_relation', percent='0.5') }} as median_time_to_complete_in_seconds\n\n        from distribution_contact\n        {% if target.type == 'postgres' %} group by 1,2 {% endif %} -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n    {% if target.type != 'postgres' %} group by 1,2,3,4,5 {% endif %} -- roll up if using window function\n),\n\nfinal as (\n\n    select \n        distribution.*,\n        parent_distribution.header_subject as parent_distribution_header_subject,\n        {% if var('qualtrics__using_core_mailing_lists', false) -%} coalesce(directory_mailing_list.name, core_mailing_list.name) {%- else %} directory_mailing_list.name {%- endif %} as recipient_mailing_list_name,\n        qualtrics_user.email as owner_email,\n        qualtrics_user.first_name as owner_first_name,\n        qualtrics_user.last_name as owner_last_name,\n        {% for status in ('pending','success','error','opened','complaint','skipped','blocked','failure','unknown','softbounce','hardbounce','surveystarted','surveypartiallyfinished','surveyfinished','surveyscreenedout','sessionexpired') %}\n        coalesce(pivoted_metrics.current_count_surveys_{{ status }}, 0) as current_count_surveys_{{ status }},\n        {% endfor %}\n        coalesce(pivoted_metrics.total_count_contacts, 0) as total_count_contacts,\n        coalesce(pivoted_metrics.count_contacts_sent_surveys, 0) as count_contacts_sent_surveys,\n        coalesce(pivoted_metrics.count_contacts_opened_surveys, 0) as count_contacts_opened_surveys,\n        coalesce(pivoted_metrics.count_contacts_started_surveys, 0) as count_contacts_started_surveys,\n        coalesce(pivoted_metrics.count_contacts_completed_surveys, 0) as count_contacts_completed_surveys,\n        pivoted_metrics.first_survey_sent_at,\n        pivoted_metrics.last_survey_sent_at,\n        pivoted_metrics.first_survey_opened_at,\n        pivoted_metrics.last_survey_opened_at,\n        pivoted_metrics.first_response_completed_at,\n        pivoted_metrics.last_response_completed_at,\n        pivoted_metrics.avg_time_to_open_in_seconds,\n        pivoted_metrics.avg_time_to_start_in_seconds,\n        pivoted_metrics.avg_time_to_complete_in_seconds,\n        calc_medians.median_time_to_open_in_seconds,\n        calc_medians.median_time_to_start_in_seconds,\n        calc_medians.median_time_to_complete_in_seconds\n\n    from distribution\n    left join qualtrics_user \n        on distribution.owner_user_id = qualtrics_user.user_id \n        and distribution.source_relation = qualtrics_user.source_relation\n    left join distribution as parent_distribution\n        on distribution.parent_distribution_id = parent_distribution.distribution_id\n        and distribution.source_relation = parent_distribution.source_relation\n    left join pivoted_metrics \n        on distribution.distribution_id = pivoted_metrics.distribution_id \n        and distribution.source_relation = pivoted_metrics.source_relation\n    left join calc_medians \n        on distribution.distribution_id = calc_medians.distribution_id \n        and distribution.source_relation = calc_medians.source_relation\n    left join directory_mailing_list\n        on distribution.recipient_mailing_list_id = directory_mailing_list.mailing_list_id\n        and distribution.source_relation = directory_mailing_list.source_relation\n    {% if var('qualtrics__using_core_mailing_lists', false) %}\n    left join core_mailing_list\n        on distribution.recipient_mailing_list_id = core_mailing_list.mailing_list_id\n        and distribution.source_relation = core_mailing_list.source_relation\n    {% endif %}\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution", "package": null, "version": null}, {"name": "stg_qualtrics__user", "package": null, "version": null}, {"name": "stg_qualtrics__directory_mailing_list", "package": null, "version": null}, {"name": "stg_qualtrics__core_mailing_list", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.timestamp_diff", "macro.fivetran_utils.percentile"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution", "model.qualtrics_source.stg_qualtrics__user", "model.qualtrics_source.stg_qualtrics__directory_mailing_list", "model.qualtrics_source.stg_qualtrics__core_mailing_list", "model.qualtrics_source.stg_qualtrics__distribution_contact"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__distribution.sql", "compiled": true, "compiled_code": "with distribution as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`\n),\n\nqualtrics_user as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`\n),\n\ndirectory_mailing_list as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`\n),\n\n\ncore_mailing_list as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`\n),\n\n\ndistribution_contact as (\n\n    select \n        *,\n        -- all relative to sent_at (should response be relative to opened_at?)\n        \n  \n\n    timestamp_diff(\n        opened_at,\n        sent_at,\n        second\n    )\n\n\n as time_to_open_in_seconds,\n        \n  \n\n    timestamp_diff(\n        response_started_at,\n        sent_at,\n        second\n    )\n\n\n as time_to_start_in_seconds,\n        \n  \n\n    timestamp_diff(\n        response_completed_at,\n        sent_at,\n        second\n    )\n\n\n as time_to_complete_in_seconds\n\n\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\npivoted_metrics as (\n\n    select \n        distribution_id,\n        source_relation,\n        -- current metrics\n        \n        sum(case when lower(status) = 'pending' then 1 else 0 end) as current_count_surveys_pending,\n        \n        sum(case when lower(status) = 'success' then 1 else 0 end) as current_count_surveys_success,\n        \n        sum(case when lower(status) = 'error' then 1 else 0 end) as current_count_surveys_error,\n        \n        sum(case when lower(status) = 'opened' then 1 else 0 end) as current_count_surveys_opened,\n        \n        sum(case when lower(status) = 'complaint' then 1 else 0 end) as current_count_surveys_complaint,\n        \n        sum(case when lower(status) = 'skipped' then 1 else 0 end) as current_count_surveys_skipped,\n        \n        sum(case when lower(status) = 'blocked' then 1 else 0 end) as current_count_surveys_blocked,\n        \n        sum(case when lower(status) = 'failure' then 1 else 0 end) as current_count_surveys_failure,\n        \n        sum(case when lower(status) = 'unknown' then 1 else 0 end) as current_count_surveys_unknown,\n        \n        sum(case when lower(status) = 'softbounce' then 1 else 0 end) as current_count_surveys_softbounce,\n        \n        sum(case when lower(status) = 'hardbounce' then 1 else 0 end) as current_count_surveys_hardbounce,\n        \n        sum(case when lower(status) = 'surveystarted' then 1 else 0 end) as current_count_surveys_surveystarted,\n        \n        sum(case when lower(status) = 'surveypartiallyfinished' then 1 else 0 end) as current_count_surveys_surveypartiallyfinished,\n        \n        sum(case when lower(status) = 'surveyfinished' then 1 else 0 end) as current_count_surveys_surveyfinished,\n        \n        sum(case when lower(status) = 'surveyscreenedout' then 1 else 0 end) as current_count_surveys_surveyscreenedout,\n        \n        sum(case when lower(status) = 'sessionexpired' then 1 else 0 end) as current_count_surveys_sessionexpired,\n        \n        count(distinct contact_id) as total_count_contacts,\n        count(distinct case when sent_at is not null then contact_id else null end) as count_contacts_sent_surveys,\n        count(distinct case when opened_at is not null then contact_id else null end) as count_contacts_opened_surveys,\n        count(distinct case when response_started_at is not null then contact_id else null end) as count_contacts_started_surveys,\n        count(distinct case when response_completed_at is not null then contact_id else null end) as count_contacts_completed_surveys,\n        min(sent_at) as first_survey_sent_at,\n        max(sent_at) as last_survey_sent_at,\n        min(opened_at) as first_survey_opened_at,\n        max(opened_at) as last_survey_opened_at,\n        min(response_completed_at) as first_response_completed_at,\n        max(response_completed_at) as last_response_completed_at,\n        avg(time_to_open_in_seconds) as avg_time_to_open_in_seconds,\n        avg(time_to_start_in_seconds) as avg_time_to_start_in_seconds,\n        avg(time_to_complete_in_seconds) as avg_time_to_complete_in_seconds\n\n    from distribution_contact\n    group by 1,2\n),\n\ncalc_medians as (\n    \n    select \n        distribution_id,\n        source_relation,\n        median_time_to_open_in_seconds,\n        median_time_to_start_in_seconds,\n        median_time_to_complete_in_seconds\n    from (\n        select \n            distribution_id, \n            source_relation,\n            \n\n    percentile_cont( \n        time_to_open_in_seconds, \n        0.5) \n        over (partition by distribution_id,source_relation    \n        )\n\n as median_time_to_open_in_seconds,\n            \n\n    percentile_cont( \n        time_to_start_in_seconds, \n        0.5) \n        over (partition by distribution_id,source_relation    \n        )\n\n as median_time_to_start_in_seconds,\n            \n\n    percentile_cont( \n        time_to_complete_in_seconds, \n        0.5) \n        over (partition by distribution_id,source_relation    \n        )\n\n as median_time_to_complete_in_seconds\n\n        from distribution_contact\n         -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n     group by 1,2,3,4,5  -- roll up if using window function\n),\n\nfinal as (\n\n    select \n        distribution.*,\n        parent_distribution.header_subject as parent_distribution_header_subject,\n        coalesce(directory_mailing_list.name, core_mailing_list.name) as recipient_mailing_list_name,\n        qualtrics_user.email as owner_email,\n        qualtrics_user.first_name as owner_first_name,\n        qualtrics_user.last_name as owner_last_name,\n        \n        coalesce(pivoted_metrics.current_count_surveys_pending, 0) as current_count_surveys_pending,\n        \n        coalesce(pivoted_metrics.current_count_surveys_success, 0) as current_count_surveys_success,\n        \n        coalesce(pivoted_metrics.current_count_surveys_error, 0) as current_count_surveys_error,\n        \n        coalesce(pivoted_metrics.current_count_surveys_opened, 0) as current_count_surveys_opened,\n        \n        coalesce(pivoted_metrics.current_count_surveys_complaint, 0) as current_count_surveys_complaint,\n        \n        coalesce(pivoted_metrics.current_count_surveys_skipped, 0) as current_count_surveys_skipped,\n        \n        coalesce(pivoted_metrics.current_count_surveys_blocked, 0) as current_count_surveys_blocked,\n        \n        coalesce(pivoted_metrics.current_count_surveys_failure, 0) as current_count_surveys_failure,\n        \n        coalesce(pivoted_metrics.current_count_surveys_unknown, 0) as current_count_surveys_unknown,\n        \n        coalesce(pivoted_metrics.current_count_surveys_softbounce, 0) as current_count_surveys_softbounce,\n        \n        coalesce(pivoted_metrics.current_count_surveys_hardbounce, 0) as current_count_surveys_hardbounce,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveystarted, 0) as current_count_surveys_surveystarted,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveypartiallyfinished, 0) as current_count_surveys_surveypartiallyfinished,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveyfinished, 0) as current_count_surveys_surveyfinished,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveyscreenedout, 0) as current_count_surveys_surveyscreenedout,\n        \n        coalesce(pivoted_metrics.current_count_surveys_sessionexpired, 0) as current_count_surveys_sessionexpired,\n        \n        coalesce(pivoted_metrics.total_count_contacts, 0) as total_count_contacts,\n        coalesce(pivoted_metrics.count_contacts_sent_surveys, 0) as count_contacts_sent_surveys,\n        coalesce(pivoted_metrics.count_contacts_opened_surveys, 0) as count_contacts_opened_surveys,\n        coalesce(pivoted_metrics.count_contacts_started_surveys, 0) as count_contacts_started_surveys,\n        coalesce(pivoted_metrics.count_contacts_completed_surveys, 0) as count_contacts_completed_surveys,\n        pivoted_metrics.first_survey_sent_at,\n        pivoted_metrics.last_survey_sent_at,\n        pivoted_metrics.first_survey_opened_at,\n        pivoted_metrics.last_survey_opened_at,\n        pivoted_metrics.first_response_completed_at,\n        pivoted_metrics.last_response_completed_at,\n        pivoted_metrics.avg_time_to_open_in_seconds,\n        pivoted_metrics.avg_time_to_start_in_seconds,\n        pivoted_metrics.avg_time_to_complete_in_seconds,\n        calc_medians.median_time_to_open_in_seconds,\n        calc_medians.median_time_to_start_in_seconds,\n        calc_medians.median_time_to_complete_in_seconds\n\n    from distribution\n    left join qualtrics_user \n        on distribution.owner_user_id = qualtrics_user.user_id \n        and distribution.source_relation = qualtrics_user.source_relation\n    left join distribution as parent_distribution\n        on distribution.parent_distribution_id = parent_distribution.distribution_id\n        and distribution.source_relation = parent_distribution.source_relation\n    left join pivoted_metrics \n        on distribution.distribution_id = pivoted_metrics.distribution_id \n        and distribution.source_relation = pivoted_metrics.source_relation\n    left join calc_medians \n        on distribution.distribution_id = calc_medians.distribution_id \n        and distribution.source_relation = calc_medians.source_relation\n    left join directory_mailing_list\n        on distribution.recipient_mailing_list_id = directory_mailing_list.mailing_list_id\n        and distribution.source_relation = directory_mailing_list.source_relation\n    \n    left join core_mailing_list\n        on distribution.recipient_mailing_list_id = core_mailing_list.mailing_list_id\n        and distribution.source_relation = core_mailing_list.source_relation\n    \n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics.qualtrics__response": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics", "name": "qualtrics__response", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__response.sql", "original_file_path": "models/qualtrics__response.sql", "unique_id": "model.qualtrics.qualtrics__response", "fqn": ["qualtrics", "qualtrics__response"], "alias": "qualtrics__response", "checksum": {"name": "sha256", "checksum": "a6c38bf875198e0a1e04b46fdefb27673207dffdffbb5849be4b53f67a6738ae"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package"], "description": "Breakdown of responses to individual questions (and their sub-questions). Enhanced with information regarding the survey-level  response and the survey.\n", "columns": {"question_response_id": {"name": "question_response_id", "description": "Fivetran-generated unique key hashed on `response_id`, `question_id`, `sub_question_key`, `sub_question_text` , `question_option_key` , `loop_id` and `importId`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_response_id": {"name": "survey_response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_text": {"name": "question_text", "description": "Text for the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_key": {"name": "sub_question_key", "description": "Key of the sub question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_text": {"name": "sub_question_text", "description": "Sub question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_option_key": {"name": "question_option_key", "description": "The key of the `QUESTION_OPTION` that was chosen.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "value": {"name": "value", "description": "Value of the question response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "loop_id": {"name": "loop_id", "description": "ID of the [Loop and Merge](https://www.qualtrics.com/support/survey-platform/survey-module/block-options/loop-and-merge/) object this response is associated with.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_channel": {"name": "distribution_channel", "description": "The method by which the survey was distributed to respondents.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_response_status": {"name": "survey_response_status", "description": "The type of response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_progress": {"name": "survey_progress", "description": "How far the respondent has progressed through the survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "duration_in_seconds": {"name": "duration_in_seconds", "description": "How long it took for the respondent to finish the survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_finished_with_survey": {"name": "is_finished_with_survey", "description": "Boolean (stored as int) indicating if the respondent finished and submitted the survey, the value will be 1, otherwise it will be 0.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_finished_at": {"name": "survey_finished_at", "description": "The point in time when the survey response was finished.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_response_last_modified_at": {"name": "survey_response_last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_response_recorded_at": {"name": "survey_response_recorded_at", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_response_started_at": {"name": "survey_response_started_at", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_email": {"name": "recipient_email", "description": "Email of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_first_name": {"name": "recipient_first_name", "description": "First name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_last_name": {"name": "recipient_last_name", "description": "Last name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_language": {"name": "user_language", "description": "The language of the respondent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ip_address": {"name": "ip_address", "description": "IP address of the recipient.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_latitude": {"name": "location_latitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_longitude": {"name": "location_longitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recode_value": {"name": "recode_value", "description": "Recode/mapping value for the option.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_option_text": {"name": "question_option_text", "description": "Question option text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email_domain": {"name": "email_domain", "description": "Domain of the contact's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_language": {"name": "contact_language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_external_data_reference": {"name": "contact_external_data_reference", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "embedded_data": {"name": "embedded_data", "description": "JSON of  Any extra information you would like recorded in addition to the question responses (from the `survey_embedded_data` source table).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_name": {"name": "survey_name", "description": "Name of the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_status": {"name": "survey_status", "description": "The distribution status of the survey, or a flag indicating that it's a library block\n\nAllowed values - `Inactive`, `Active`, `Pending`, `LibBlock`, `Deactive`, `Temporary`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_category": {"name": "project_category", "description": "Project category of the survey.\n\nAllowed values - `CORE`, `CX`, `EX`, `BX`, `PX`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_type": {"name": "project_type", "description": "Type of [Qualtrics project](https://www.qualtrics.com/support/survey-platform/my-projects/my-projects-overview/#SelectingProjectType). Match pattern = ^[a-zA-Z]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_base_url": {"name": "brand_base_url", "description": "Base url for the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_description": {"name": "question_description", "description": "Label to identify the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_type": {"name": "question_type", "description": "The type of question. Can be -\n`MC`,`Matrix`,`Captcha`,`CS`,`DB`,`DD`,`Draw`,`DynamicMatrix`,`FileUpload`,`GAP`,`HeatMap`,`HL`,`HotSpot`,`Meta`,`PGR`,`RO`,`SBS`,`Slider`,`SS`,`TE`,`Timing`,`TreeSelect`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_id": {"name": "block_id", "description": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_description": {"name": "block_description", "description": "Description given to the block.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_question_randomization": {"name": "block_question_randomization", "description": "If/how the block questions are randomized. Can be - `false` (no randomization), `RandomWithXPerPage` (randomize all and place X questions in each block), `RandomWithOnlyX` (randomly present only X out of the total questions), or `Advanced` (custom configuration)", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_type": {"name": "block_type", "description": "Type of block. Can be `Trash`, `Default`, or `Standard`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_visibility": {"name": "block_visibility", "description": "Whether the questions in the block are 'collapsed' or 'expanded' by default.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response": {"name": "validation_setting_force_response", "description": "The response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response_type": {"name": "validation_setting_force_response_type", "description": "The type of response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_type": {"name": "validation_setting_type", "description": "The type of forced response validation that is set.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_question_deleted": {"name": "is_question_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_block_deleted": {"name": "is_block_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_xm_directory_contact": {"name": "is_xm_directory_contact", "description": "Boolean representing whether the contact came from the XM Directory API endpoint (ie stored in the `directory_contact` table).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_research_core_contact": {"name": "is_research_core_contact", "description": "Boolean representing whether the contact came from the (to-be-deprecated) Research Core API endpoint (ie stored in the `core_contact` table).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1703019362.900053, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__response`", "raw_code": "with response as (\n    -- will probably move the logic from this int model to the end model directly \n    select *\n    from {{ ref('int_qualtrics__responses') }}\n),\n\nquestion_option as (\n\n    select *\n    from {{ var('question_option') }}\n),\n\nquestion as (\n\n    select *\n    from {{ ref('int_qualtrics__question') }}\n),\n\nsurvey as (\n\n    select *\n    from {{ var('survey') }}\n),\n\nembedded_data as (\n\n    select *\n    from {{ ref('int_qualtrics__survey_embedded_data') }}\n),\n\ncontacts as (\n\n    select *\n    from {{ ref('int_qualtrics__contacts') }}\n),\n\nrollup_contacts as (\n\n    select \n        email,\n        source_relation,\n        max(email_domain) as email_domain,\n        max(first_name) as first_name,\n        max(last_name) as last_name,\n        max(language) as language,\n        max(external_data_reference) as external_data_reference,\n        {{ fivetran_utils.max_bool(boolean_field=\"is_xm_directory_contact\") }} as is_xm_directory_contact,\n        {{ fivetran_utils.max_bool(boolean_field=\"is_research_core_contact\") }} as is_research_core_contact\n\n    from contacts\n    group by 1,2\n),\n\nfinal as (\n\n    select \n        response.*,\n        question_option.recode_value,\n        question_option.text as question_option_text,\n        rollup_contacts.first_name,\n        rollup_contacts.last_name,\n        rollup_contacts.email_domain,\n        rollup_contacts.language as contact_language,\n        rollup_contacts.external_data_reference as contact_external_data_reference,\n        rollup_contacts.is_xm_directory_contact,\n        rollup_contacts.is_research_core_contact,\n\n        embedded_data.embedded_data,\n        survey.survey_name,\n        survey.survey_status,\n        survey.project_category,\n        survey.project_type,\n        survey.brand_base_url,\n        \n        -- most question fields are included, as there is no question end model. join with `int_qualtrics__question` to bring in more\n        question.question_description,\n        question.question_type,\n        question.block_id,\n        question.block_description,\n        question.block_question_randomization,\n        question.block_type,\n        question.block_visibility,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.is_question_deleted,\n        question.is_block_deleted\n\n    from response\n\n    left join question\n        on response.question_id = question.question_id\n        and response.survey_id = question.survey_id\n        and response.sub_question_key = question.sub_question_key\n        and response.source_relation = question.source_relation\n\n    left join question_option\n        on response.question_id = question_option.question_id \n        and response.survey_id = question_option.survey_id\n        and response.question_option_key = question_option.key\n        and response.source_relation = question_option.source_relation\n\n    left join survey\n        on response.survey_id = survey.survey_id\n        and response.source_relation = survey.source_relation\n\n    left join embedded_data\n        on response.survey_response_id = embedded_data.response_id\n        and response.source_relation = embedded_data.source_relation\n\n    left join rollup_contacts \n        on response.recipient_email = rollup_contacts.email\n        and response.source_relation = rollup_contacts.source_relation\n\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "int_qualtrics__responses", "package": null, "version": null}, {"name": "stg_qualtrics__question_option", "package": null, "version": null}, {"name": "int_qualtrics__question", "package": null, "version": null}, {"name": "stg_qualtrics__survey", "package": null, "version": null}, {"name": "int_qualtrics__survey_embedded_data", "package": null, "version": null}, {"name": "int_qualtrics__contacts", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.max_bool"], "nodes": ["model.qualtrics.int_qualtrics__responses", "model.qualtrics_source.stg_qualtrics__question_option", "model.qualtrics.int_qualtrics__question", "model.qualtrics_source.stg_qualtrics__survey", "model.qualtrics.int_qualtrics__survey_embedded_data", "model.qualtrics.int_qualtrics__contacts"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__response.sql", "compiled": true, "compiled_code": "with  __dbt__cte__int_qualtrics__responses as (\nwith question_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response`\n),\n\nsurvey_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\nresponse_join as (\n\n    select \n        question_response._fivetran_id as question_response_id,\n        question_response.response_id as survey_response_id,\n        survey_response.survey_id,\n        question_response.question_id,\n        question_response.question as question_text,\n        question_response.sub_question_key,\n        question_response.sub_question_text,\n        question_response.question_option_key,\n        question_response.value,\n        question_response.loop_id,\n        survey_response.distribution_channel,\n        survey_response.status as survey_response_status,\n        survey_response.progress as survey_progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished as is_finished_with_survey,\n        survey_response.finished_at as survey_finished_at,\n        survey_response.last_modified_at as survey_response_last_modified_at,\n        survey_response.recorded_date as survey_response_recorded_at,\n        survey_response.started_at as survey_response_started_at,\n        survey_response.recipient_email,\n        survey_response.recipient_first_name,\n        survey_response.recipient_last_name,\n        survey_response.user_language,\n        survey_response.ip_address,\n        survey_response.location_latitude,\n        survey_response.location_longitude,\n        question_response.source_relation\n    \n    from question_response \n    inner join survey_response -- every question response will belong to an overall \"survey response\"\n        on question_response.response_id = survey_response.response_id\n        and question_response.source_relation = survey_response.source_relation\n        \n)\n\nselect *\nfrom response_join\n),  __dbt__cte__int_qualtrics__question as (\nwith question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question`\n),\n\nblock_question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question`\n    where not coalesce(is_deleted, false) -- lets get rid of deleted questions\n),\n\nblock as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block`\n),\n\nsub_question as (\n    \n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question`\n),\n\nquestion_join as (\n\n    select\n        question.question_id,\n        \n\n  \n    split(\n        question.question_id,\n        '#'\n        )[safe_offset(0)]\n  \n\n as parent_question_id,\n        question.question_text,\n        question.survey_id,\n        question.question_description,\n        question.question_description_option,\n        sub_question.key as sub_question_key,\n        sub_question.text as sub_question_text,\n        question.question_type,\n        question.selector,\n        question.sub_selector,\n        question.is_data_hidden,\n        question.is_data_private,\n        question.is_deleted as is_question_deleted,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.data_export_tag,\n        sub_question.choice_data_export_tag,\n        block.block_id,\n        block.description as block_description,\n        block.randomize_questions as block_question_randomization,\n        block.type as block_type,\n        block.block_visibility,\n        block.is_locked as is_block_locked,\n        block.is_deleted as is_block_deleted,\n        question.next_answer_id,\n        question.next_choice_id,\n        question.source_relation\n\n    from question\n    left join sub_question\n        on question.question_id = sub_question.question_id \n        and question.survey_id = sub_question.survey_id\n        and question.source_relation = sub_question.source_relation\n    \n    left join block_question\n        on question.question_id = block_question.question_id\n        and question.survey_id = block_question.survey_id\n        and question.source_relation = block_question.source_relation\n\n    left join block\n        on block_question.block_id = block.block_id\n        and block_question.survey_id = block.survey_id\n        and block_question.source_relation = block.source_relation\n\n)\n\nselect *\nfrom question_join\n),  __dbt__cte__int_qualtrics__survey_embedded_data as (\nwith survey_embedded_data as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`\n),\n\njsonify as (\n\n    select\n        response_id, -- survey_response\n        source_relation,\n        '{' || \n    string_agg(key || ':' || value, ', ')\n\n || '}' as embedded_data\n    from survey_embedded_data\n    group by 1,2\n)\n\nselect \n    response_id,\n    source_relation,\n    embedded_data\nfrom jsonify \ngroup by 1,2,3\n),  __dbt__cte__int_qualtrics__contacts as (\n\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final\n), response as (\n    -- will probably move the logic from this int model to the end model directly \n    select *\n    from __dbt__cte__int_qualtrics__responses\n),\n\nquestion_option as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_option`\n),\n\nquestion as (\n\n    select *\n    from __dbt__cte__int_qualtrics__question\n),\n\nsurvey as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`\n),\n\nembedded_data as (\n\n    select *\n    from __dbt__cte__int_qualtrics__survey_embedded_data\n),\n\ncontacts as (\n\n    select *\n    from __dbt__cte__int_qualtrics__contacts\n),\n\nrollup_contacts as (\n\n    select \n        email,\n        source_relation,\n        max(email_domain) as email_domain,\n        max(first_name) as first_name,\n        max(last_name) as last_name,\n        max(language) as language,\n        max(external_data_reference) as external_data_reference,\n        \n\n    max( is_xm_directory_contact )\n\n as is_xm_directory_contact,\n        \n\n    max( is_research_core_contact )\n\n as is_research_core_contact\n\n    from contacts\n    group by 1,2\n),\n\nfinal as (\n\n    select \n        response.*,\n        question_option.recode_value,\n        question_option.text as question_option_text,\n        rollup_contacts.first_name,\n        rollup_contacts.last_name,\n        rollup_contacts.email_domain,\n        rollup_contacts.language as contact_language,\n        rollup_contacts.external_data_reference as contact_external_data_reference,\n        rollup_contacts.is_xm_directory_contact,\n        rollup_contacts.is_research_core_contact,\n\n        embedded_data.embedded_data,\n        survey.survey_name,\n        survey.survey_status,\n        survey.project_category,\n        survey.project_type,\n        survey.brand_base_url,\n        \n        -- most question fields are included, as there is no question end model. join with `int_qualtrics__question` to bring in more\n        question.question_description,\n        question.question_type,\n        question.block_id,\n        question.block_description,\n        question.block_question_randomization,\n        question.block_type,\n        question.block_visibility,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.is_question_deleted,\n        question.is_block_deleted\n\n    from response\n\n    left join question\n        on response.question_id = question.question_id\n        and response.survey_id = question.survey_id\n        and response.sub_question_key = question.sub_question_key\n        and response.source_relation = question.source_relation\n\n    left join question_option\n        on response.question_id = question_option.question_id \n        and response.survey_id = question_option.survey_id\n        and response.question_option_key = question_option.key\n        and response.source_relation = question_option.source_relation\n\n    left join survey\n        on response.survey_id = survey.survey_id\n        and response.source_relation = survey.source_relation\n\n    left join embedded_data\n        on response.survey_response_id = embedded_data.response_id\n        and response.source_relation = embedded_data.source_relation\n\n    left join rollup_contacts \n        on response.recipient_email = rollup_contacts.email\n        and response.source_relation = rollup_contacts.source_relation\n\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [{"id": "model.qualtrics.int_qualtrics__responses", "sql": " __dbt__cte__int_qualtrics__responses as (\nwith question_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response`\n),\n\nsurvey_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\nresponse_join as (\n\n    select \n        question_response._fivetran_id as question_response_id,\n        question_response.response_id as survey_response_id,\n        survey_response.survey_id,\n        question_response.question_id,\n        question_response.question as question_text,\n        question_response.sub_question_key,\n        question_response.sub_question_text,\n        question_response.question_option_key,\n        question_response.value,\n        question_response.loop_id,\n        survey_response.distribution_channel,\n        survey_response.status as survey_response_status,\n        survey_response.progress as survey_progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished as is_finished_with_survey,\n        survey_response.finished_at as survey_finished_at,\n        survey_response.last_modified_at as survey_response_last_modified_at,\n        survey_response.recorded_date as survey_response_recorded_at,\n        survey_response.started_at as survey_response_started_at,\n        survey_response.recipient_email,\n        survey_response.recipient_first_name,\n        survey_response.recipient_last_name,\n        survey_response.user_language,\n        survey_response.ip_address,\n        survey_response.location_latitude,\n        survey_response.location_longitude,\n        question_response.source_relation\n    \n    from question_response \n    inner join survey_response -- every question response will belong to an overall \"survey response\"\n        on question_response.response_id = survey_response.response_id\n        and question_response.source_relation = survey_response.source_relation\n        \n)\n\nselect *\nfrom response_join\n)"}, {"id": "model.qualtrics.int_qualtrics__question", "sql": " __dbt__cte__int_qualtrics__question as (\nwith question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question`\n),\n\nblock_question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question`\n    where not coalesce(is_deleted, false) -- lets get rid of deleted questions\n),\n\nblock as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block`\n),\n\nsub_question as (\n    \n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question`\n),\n\nquestion_join as (\n\n    select\n        question.question_id,\n        \n\n  \n    split(\n        question.question_id,\n        '#'\n        )[safe_offset(0)]\n  \n\n as parent_question_id,\n        question.question_text,\n        question.survey_id,\n        question.question_description,\n        question.question_description_option,\n        sub_question.key as sub_question_key,\n        sub_question.text as sub_question_text,\n        question.question_type,\n        question.selector,\n        question.sub_selector,\n        question.is_data_hidden,\n        question.is_data_private,\n        question.is_deleted as is_question_deleted,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.data_export_tag,\n        sub_question.choice_data_export_tag,\n        block.block_id,\n        block.description as block_description,\n        block.randomize_questions as block_question_randomization,\n        block.type as block_type,\n        block.block_visibility,\n        block.is_locked as is_block_locked,\n        block.is_deleted as is_block_deleted,\n        question.next_answer_id,\n        question.next_choice_id,\n        question.source_relation\n\n    from question\n    left join sub_question\n        on question.question_id = sub_question.question_id \n        and question.survey_id = sub_question.survey_id\n        and question.source_relation = sub_question.source_relation\n    \n    left join block_question\n        on question.question_id = block_question.question_id\n        and question.survey_id = block_question.survey_id\n        and question.source_relation = block_question.source_relation\n\n    left join block\n        on block_question.block_id = block.block_id\n        and block_question.survey_id = block.survey_id\n        and block_question.source_relation = block.source_relation\n\n)\n\nselect *\nfrom question_join\n)"}, {"id": "model.qualtrics.int_qualtrics__survey_embedded_data", "sql": " __dbt__cte__int_qualtrics__survey_embedded_data as (\nwith survey_embedded_data as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`\n),\n\njsonify as (\n\n    select\n        response_id, -- survey_response\n        source_relation,\n        '{' || \n    string_agg(key || ':' || value, ', ')\n\n || '}' as embedded_data\n    from survey_embedded_data\n    group by 1,2\n)\n\nselect \n    response_id,\n    source_relation,\n    embedded_data\nfrom jsonify \ngroup by 1,2,3\n)"}, {"id": "model.qualtrics.int_qualtrics__contacts", "sql": " __dbt__cte__int_qualtrics__contacts as (\n\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final\n)"}], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics.qualtrics__daily_breakdown": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics", "name": "qualtrics__daily_breakdown", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__daily_breakdown.sql", "original_file_path": "models/qualtrics__daily_breakdown.sql", "unique_id": "model.qualtrics.qualtrics__daily_breakdown", "fqn": ["qualtrics", "qualtrics__daily_breakdown"], "alias": "qualtrics__daily_breakdown", "checksum": {"name": "sha256", "checksum": "16396eb307d892f6329453b47527930afe7002be06389ea33d34afd1e347f2e6"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package"], "description": "Daily breakdown of activities related to surveys and distribution in your Qualtrics instance.", "columns": {"source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "date_day": {"name": "date_day", "description": "Day of activity in your Qualtrics instance.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_created": {"name": "count_contacts_created", "description": "New contacts created on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_unsubscribed_from_directory": {"name": "count_contacts_unsubscribed_from_directory", "description": "Count of contacts that unsubscribed from a directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_unsubscribed_from_mailing_list": {"name": "count_contacts_unsubscribed_from_mailing_list", "description": "Count of contacts that unsubscribed from a mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_sent_surveys": {"name": "count_contacts_sent_surveys", "description": "Count of unique contacts who have been sent surveys via the distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_opened_sent_surveys": {"name": "count_contacts_opened_sent_surveys", "description": "Count of contacts who opened a survey that was sent on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_started_sent_surveys": {"name": "count_contacts_started_sent_surveys", "description": "Count of contacts who started a survey that was sent on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_contacts_completed_sent_surveys": {"name": "count_contacts_completed_sent_surveys", "description": "Count of contacts who completed a survey that was sent on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_distinct_surveys_responded_to": {"name": "count_distinct_surveys_responded_to", "description": "Count of distinct survey templates (ie `survey_id`) that contacts responded to on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_survey_responses": {"name": "total_count_survey_responses", "description": "Count of distinct survey responses recorded on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_completed_survey_responses": {"name": "total_count_completed_survey_responses", "description": "Count of distinct complete survey responses recorded on this day.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_anonymous_survey_responses": {"name": "count_anonymous_survey_responses", "description": "Number of recorded survey responses distributed anonymously.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_anonymous_completed_survey_responses": {"name": "count_anonymous_completed_survey_responses", "description": "Number of _completed_ recorded survey responses distributed anonymously.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_social_media_survey_responses": {"name": "count_social_media_survey_responses", "description": "Number of recorded survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_social_media_completed_survey_responses": {"name": "count_social_media_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_personal_link_survey_responses": {"name": "count_personal_link_survey_responses", "description": "Number of recorded survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_personal_link_completed_survey_responses": {"name": "count_personal_link_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_qr_code_survey_responses": {"name": "count_qr_code_survey_responses", "description": "Number of recorded survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_qr_code_completed_survey_responses": {"name": "count_qr_code_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_email_survey_responses": {"name": "count_email_survey_responses", "description": "Number of recorded survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_email_completed_survey_responses": {"name": "count_email_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_sms_survey_responses": {"name": "count_sms_survey_responses", "description": "Number of recorded survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_sms_completed_survey_responses": {"name": "count_sms_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_uncategorized_survey_responses": {"name": "count_uncategorized_survey_responses", "description": "Number of recorded survey responses not distributed via the default channels.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_uncategorized_completed_survey_responses": {"name": "count_uncategorized_completed_survey_responses", "description": "Number of _completed_ survey responses not distributed via the default channels.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1703019362.892718, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__daily_breakdown`", "raw_code": "with response as (\n\n    select *\n    from {{ ref('qualtrics__response') }}\n),\n\ncontact as (\n\n    select *\n    from {{ ref('qualtrics__contact') }}\n),\n\ncontact_mailing_list_membership as (\n\n    select *\n    from {{ var('contact_mailing_list_membership') }}\n),\n\ndistribution_contact as (\n\n    select *\n    from {{ var('distribution_contact') }}\n),\n\nspine as (\n\n    {% if execute %}\n    {% set first_date_query %}\n        select  coalesce( min( sent_at ), '2016-01-01') as min_date from {{ var('distribution_contact') }}\n    {% endset %}\n    {% set first_date = run_query(first_date_query).columns[0][0]|string %}\n    \n    {% else %} {% set first_date = \"2016-01-01\" %}\n    {% endif %}\n\n    {{ dbt_utils.date_spine(\n        datepart = \"day\", \n        start_date =  \"cast('\" ~ first_date[0:10] ~ \"' as date)\", \n        end_date = dbt.dateadd(\"week\", 1, dbt.date_trunc('day', dbt.current_timestamp_backcompat())) \n        ) \n    }} \n),\n\nsource_relations as (\n\n    select\n        distinct source_relation \n    from distribution_contact\n),\n\nspine_cross_join as (\n\n    select \n        spine.date_day, \n        source_relations.source_relation\n    from spine \n    cross join source_relations\n),\n\nagg_responses as (\n    {# From https://qualtrics.com/support/survey-platform/distributions-module/distribution-summary/#ChannelCategorization #}\n    {% set distribution_channels = ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') %}\n\n    select \n        cast({{ dbt.date_trunc('day', 'survey_response_recorded_at') }} as date) as date_day,\n        source_relation,\n        count(distinct survey_id) as count_distinct_surveys_responded_to,\n        count(distinct survey_response_id) as total_count_survey_responses,\n        count(distinct case when is_finished_with_survey then survey_response_id end) as total_count_completed_survey_responses,\n\n        {% for distribution_channel in distribution_channels %}\n        count(distinct \n                case \n                when distribution_channel = '{{ distribution_channel }}' then survey_response_id\n                else null end) as count_{{ distribution_channel }}_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = '{{ distribution_channel }}' and is_finished_with_survey then survey_response_id\n                else null end) as count_{{ distribution_channel }}_completed_survey_responses,\n        {% endfor %}\n        count(distinct case \n                when distribution_channel not in {{ distribution_channels }} then survey_response_id\n                else null end) as count_uncategorized_survey_responses,\n        count(distinct case \n                when is_finished_with_survey and distribution_channel not in {{ distribution_channels }} then survey_response_id\n                else null end) as count_uncategorized_completed_survey_responses\n    from response \n    group by 1,2\n),\n\nagg_survey_distribution as (\n-- all metrics here relative to the day that the survey was sent\n    select \n        cast({{ dbt.date_trunc('day', 'sent_at') }} as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_sent_surveys,\n        count(distinct case when opened_at is not null then contact_id end) as count_contacts_opened_sent_surveys,\n        count(distinct case when response_started_at is not null then contact_id end) as count_contacts_started_sent_surveys,\n        count(distinct case when response_completed_at is not null then contact_id end) as count_contacts_completed_sent_surveys\n    from distribution_contact\n    group by 1,2\n),\n\nagg_created_contacts as (\n\n    select\n        cast({{ dbt.date_trunc('day', 'created_at') }} as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_created\n    from contact  \n    group by 1,2\n),\n\nagg_directory_unsubscriptions as (\n\n    select\n        cast({{ dbt.date_trunc('day', 'unsubscribed_from_directory_at') }} as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_unsubscribed_from_directory\n    from contact\n    group by 1,2\n),\n\nagg_mailing_list_unsubscriptions as (\n\n    select\n        cast({{ dbt.date_trunc('day', 'unsubscribed_at') }} as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_unsubscribed_from_mailing_list\n    from contact_mailing_list_membership\n    group by 1,2\n),\n\nfinal as (\n\n    select \n        coalesce(agg_responses.source_relation, agg_survey_distribution.source_relation, agg_created_contacts.source_relation, agg_directory_unsubscriptions.source_relation, agg_mailing_list_unsubscriptions.source_relation, spine_cross_join.source_relation) as source_relation,\n        spine_cross_join.date_day,\n        coalesce(agg_created_contacts.count_contacts_created, 0) as count_contacts_created,\n        coalesce(agg_directory_unsubscriptions.count_contacts_unsubscribed_from_directory, 0) as count_contacts_unsubscribed_from_directory,\n        coalesce(agg_mailing_list_unsubscriptions.count_contacts_unsubscribed_from_mailing_list, 0) as count_contacts_unsubscribed_from_mailing_list,\n\n        coalesce(agg_survey_distribution.count_contacts_sent_surveys, 0) as count_contacts_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_opened_sent_surveys, 0) as count_contacts_opened_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_started_sent_surveys, 0) as count_contacts_started_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_completed_sent_surveys, 0) as count_contacts_completed_sent_surveys,\n\n        coalesce(agg_responses.count_distinct_surveys_responded_to, 0) as count_distinct_surveys_responded_to,\n        coalesce(agg_responses.total_count_survey_responses, 0) as total_count_survey_responses,\n        coalesce(agg_responses.total_count_completed_survey_responses, 0) as total_count_completed_survey_responses,\n\n        -- distribution channels\n        coalesce(agg_responses.count_anonymous_survey_responses, 0) as count_anonymous_survey_responses,\n        coalesce(agg_responses.count_anonymous_completed_survey_responses, 0) as count_anonymous_completed_survey_responses,\n        coalesce(agg_responses.count_social_survey_responses, 0) as count_social_media_survey_responses,\n        coalesce(agg_responses.count_social_completed_survey_responses, 0) as count_social_media_completed_survey_responses,\n        coalesce(agg_responses.count_gl_survey_responses, 0) as count_personal_link_survey_responses,\n        coalesce(agg_responses.count_gl_completed_survey_responses, 0) as count_personal_link_completed_survey_responses,\n        coalesce(agg_responses.count_qr_survey_responses, 0) as count_qr_code_survey_responses,\n        coalesce(agg_responses.count_qr_completed_survey_responses, 0) as count_qr_code_completed_survey_responses,\n        coalesce(agg_responses.count_email_survey_responses, 0) as count_email_survey_responses,\n        coalesce(agg_responses.count_email_completed_survey_responses, 0) as count_email_completed_survey_responses,\n        coalesce(agg_responses.count_smsinvite_survey_responses, 0) as count_sms_survey_responses,\n        coalesce(agg_responses.count_smsinvite_completed_survey_responses, 0) as count_sms_completed_survey_responses,\n        coalesce(agg_responses.count_uncategorized_survey_responses, 0) as count_uncategorized_survey_responses,\n        coalesce(agg_responses.count_uncategorized_completed_survey_responses, 0) as count_uncategorized_completed_survey_responses\n\n    from spine_cross_join\n    left join agg_responses\n        on spine_cross_join.date_day = agg_responses.date_day\n            and spine_cross_join.source_relation = agg_responses.source_relation\n    left join agg_survey_distribution\n        on spine_cross_join.date_day = agg_survey_distribution.date_day\n            and spine_cross_join.source_relation = agg_survey_distribution.source_relation\n    left join agg_created_contacts\n        on spine_cross_join.date_day = agg_created_contacts.date_day\n            and spine_cross_join.source_relation = agg_created_contacts.source_relation\n    left join agg_directory_unsubscriptions\n        on spine_cross_join.date_day = agg_directory_unsubscriptions.date_day\n            and spine_cross_join.source_relation = agg_directory_unsubscriptions.source_relation\n    left join agg_mailing_list_unsubscriptions\n        on spine_cross_join.date_day = agg_mailing_list_unsubscriptions.date_day\n            and spine_cross_join.source_relation = agg_mailing_list_unsubscriptions.source_relation\n    \n)\n\nselect * \nfrom final", "language": "sql", "refs": [{"name": "qualtrics__response", "package": null, "version": null}, {"name": "qualtrics__contact", "package": null, "version": null}, {"name": "stg_qualtrics__contact_mailing_list_membership", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.current_timestamp_backcompat", "macro.dbt.date_trunc", "macro.dbt.dateadd", "macro.dbt_utils.date_spine", "macro.dbt.run_query"], "nodes": ["model.qualtrics.qualtrics__response", "model.qualtrics.qualtrics__contact", "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership", "model.qualtrics_source.stg_qualtrics__distribution_contact"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__daily_breakdown.sql", "compiled": true, "compiled_code": "with response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__response`\n),\n\ncontact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\ndistribution_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\nspine as (\n\n    \n    \n    \n    \n    \n\n    \n\n\n\n\n\nwith rawdata as (\n\n    \n\n    \n\n    with p as (\n        select 0 as generated_number union all select 1\n    ), unioned as (\n\n    select\n\n    \n    p0.generated_number * power(2, 0)\n     + \n    \n    p1.generated_number * power(2, 1)\n     + \n    \n    p2.generated_number * power(2, 2)\n     + \n    \n    p3.generated_number * power(2, 3)\n     + \n    \n    p4.generated_number * power(2, 4)\n     + \n    \n    p5.generated_number * power(2, 5)\n     + \n    \n    p6.generated_number * power(2, 6)\n     + \n    \n    p7.generated_number * power(2, 7)\n     + \n    \n    p8.generated_number * power(2, 8)\n     + \n    \n    p9.generated_number * power(2, 9)\n    \n    \n    + 1\n    as generated_number\n\n    from\n\n    \n    p as p0\n     cross join \n    \n    p as p1\n     cross join \n    \n    p as p2\n     cross join \n    \n    p as p3\n     cross join \n    \n    p as p4\n     cross join \n    \n    p as p5\n     cross join \n    \n    p as p6\n     cross join \n    \n    p as p7\n     cross join \n    \n    p as p8\n     cross join \n    \n    p as p9\n    \n    \n\n    )\n\n    select *\n    from unioned\n    where generated_number <= 629\n    order by generated_number\n\n\n\n),\n\nall_periods as (\n\n    select (\n        \n\n        datetime_add(\n            cast( cast('2022-04-06' as date) as datetime),\n        interval row_number() over (order by 1) - 1 day\n        )\n\n\n    ) as date_day\n    from rawdata\n\n),\n\nfiltered as (\n\n    select *\n    from all_periods\n    where date_day <= \n\n        datetime_add(\n            cast( timestamp_trunc(\n        cast(current_timestamp as timestamp),\n        day\n    ) as datetime),\n        interval 1 week\n        )\n\n\n\n)\n\nselect * from filtered\n\n \n),\n\nsource_relations as (\n\n    select\n        distinct source_relation \n    from distribution_contact\n),\n\nspine_cross_join as (\n\n    select \n        spine.date_day, \n        source_relations.source_relation\n    from spine \n    cross join source_relations\n),\n\nagg_responses as (\n    \n    \n\n    select \n        cast(timestamp_trunc(\n        cast(survey_response_recorded_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct survey_id) as count_distinct_surveys_responded_to,\n        count(distinct survey_response_id) as total_count_survey_responses,\n        count(distinct case when is_finished_with_survey then survey_response_id end) as total_count_completed_survey_responses,\n\n        \n        count(distinct \n                case \n                when distribution_channel = 'anonymous' then survey_response_id\n                else null end) as count_anonymous_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'anonymous' and is_finished_with_survey then survey_response_id\n                else null end) as count_anonymous_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'social' then survey_response_id\n                else null end) as count_social_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'social' and is_finished_with_survey then survey_response_id\n                else null end) as count_social_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'gl' then survey_response_id\n                else null end) as count_gl_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'gl' and is_finished_with_survey then survey_response_id\n                else null end) as count_gl_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'qr' then survey_response_id\n                else null end) as count_qr_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'qr' and is_finished_with_survey then survey_response_id\n                else null end) as count_qr_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'email' then survey_response_id\n                else null end) as count_email_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'email' and is_finished_with_survey then survey_response_id\n                else null end) as count_email_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' then survey_response_id\n                else null end) as count_smsinvite_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' and is_finished_with_survey then survey_response_id\n                else null end) as count_smsinvite_completed_survey_responses,\n        \n        count(distinct case \n                when distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then survey_response_id\n                else null end) as count_uncategorized_survey_responses,\n        count(distinct case \n                when is_finished_with_survey and distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then survey_response_id\n                else null end) as count_uncategorized_completed_survey_responses\n    from response \n    group by 1,2\n),\n\nagg_survey_distribution as (\n-- all metrics here relative to the day that the survey was sent\n    select \n        cast(timestamp_trunc(\n        cast(sent_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_sent_surveys,\n        count(distinct case when opened_at is not null then contact_id end) as count_contacts_opened_sent_surveys,\n        count(distinct case when response_started_at is not null then contact_id end) as count_contacts_started_sent_surveys,\n        count(distinct case when response_completed_at is not null then contact_id end) as count_contacts_completed_sent_surveys\n    from distribution_contact\n    group by 1,2\n),\n\nagg_created_contacts as (\n\n    select\n        cast(timestamp_trunc(\n        cast(created_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_created\n    from contact  \n    group by 1,2\n),\n\nagg_directory_unsubscriptions as (\n\n    select\n        cast(timestamp_trunc(\n        cast(unsubscribed_from_directory_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_unsubscribed_from_directory\n    from contact\n    group by 1,2\n),\n\nagg_mailing_list_unsubscriptions as (\n\n    select\n        cast(timestamp_trunc(\n        cast(unsubscribed_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_unsubscribed_from_mailing_list\n    from contact_mailing_list_membership\n    group by 1,2\n),\n\nfinal as (\n\n    select \n        coalesce(agg_responses.source_relation, agg_survey_distribution.source_relation, agg_created_contacts.source_relation, agg_directory_unsubscriptions.source_relation, agg_mailing_list_unsubscriptions.source_relation, spine_cross_join.source_relation) as source_relation,\n        spine_cross_join.date_day,\n        coalesce(agg_created_contacts.count_contacts_created, 0) as count_contacts_created,\n        coalesce(agg_directory_unsubscriptions.count_contacts_unsubscribed_from_directory, 0) as count_contacts_unsubscribed_from_directory,\n        coalesce(agg_mailing_list_unsubscriptions.count_contacts_unsubscribed_from_mailing_list, 0) as count_contacts_unsubscribed_from_mailing_list,\n\n        coalesce(agg_survey_distribution.count_contacts_sent_surveys, 0) as count_contacts_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_opened_sent_surveys, 0) as count_contacts_opened_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_started_sent_surveys, 0) as count_contacts_started_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_completed_sent_surveys, 0) as count_contacts_completed_sent_surveys,\n\n        coalesce(agg_responses.count_distinct_surveys_responded_to, 0) as count_distinct_surveys_responded_to,\n        coalesce(agg_responses.total_count_survey_responses, 0) as total_count_survey_responses,\n        coalesce(agg_responses.total_count_completed_survey_responses, 0) as total_count_completed_survey_responses,\n\n        -- distribution channels\n        coalesce(agg_responses.count_anonymous_survey_responses, 0) as count_anonymous_survey_responses,\n        coalesce(agg_responses.count_anonymous_completed_survey_responses, 0) as count_anonymous_completed_survey_responses,\n        coalesce(agg_responses.count_social_survey_responses, 0) as count_social_media_survey_responses,\n        coalesce(agg_responses.count_social_completed_survey_responses, 0) as count_social_media_completed_survey_responses,\n        coalesce(agg_responses.count_gl_survey_responses, 0) as count_personal_link_survey_responses,\n        coalesce(agg_responses.count_gl_completed_survey_responses, 0) as count_personal_link_completed_survey_responses,\n        coalesce(agg_responses.count_qr_survey_responses, 0) as count_qr_code_survey_responses,\n        coalesce(agg_responses.count_qr_completed_survey_responses, 0) as count_qr_code_completed_survey_responses,\n        coalesce(agg_responses.count_email_survey_responses, 0) as count_email_survey_responses,\n        coalesce(agg_responses.count_email_completed_survey_responses, 0) as count_email_completed_survey_responses,\n        coalesce(agg_responses.count_smsinvite_survey_responses, 0) as count_sms_survey_responses,\n        coalesce(agg_responses.count_smsinvite_completed_survey_responses, 0) as count_sms_completed_survey_responses,\n        coalesce(agg_responses.count_uncategorized_survey_responses, 0) as count_uncategorized_survey_responses,\n        coalesce(agg_responses.count_uncategorized_completed_survey_responses, 0) as count_uncategorized_completed_survey_responses\n\n    from spine_cross_join\n    left join agg_responses\n        on spine_cross_join.date_day = agg_responses.date_day\n            and spine_cross_join.source_relation = agg_responses.source_relation\n    left join agg_survey_distribution\n        on spine_cross_join.date_day = agg_survey_distribution.date_day\n            and spine_cross_join.source_relation = agg_survey_distribution.source_relation\n    left join agg_created_contacts\n        on spine_cross_join.date_day = agg_created_contacts.date_day\n            and spine_cross_join.source_relation = agg_created_contacts.source_relation\n    left join agg_directory_unsubscriptions\n        on spine_cross_join.date_day = agg_directory_unsubscriptions.date_day\n            and spine_cross_join.source_relation = agg_directory_unsubscriptions.source_relation\n    left join agg_mailing_list_unsubscriptions\n        on spine_cross_join.date_day = agg_mailing_list_unsubscriptions.date_day\n            and spine_cross_join.source_relation = agg_mailing_list_unsubscriptions.source_relation\n    \n)\n\nselect * \nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics.qualtrics__survey": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics", "name": "qualtrics__survey", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__survey.sql", "original_file_path": "models/qualtrics__survey.sql", "unique_id": "model.qualtrics.qualtrics__survey", "fqn": ["qualtrics", "qualtrics__survey"], "alias": "qualtrics__survey", "checksum": {"name": "sha256", "checksum": "0c68ca85123f7718e4d7a0c0a25fd9b65a6b7cd0b41f08976c68d90725cab14a"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package"], "description": "Detailed view of all surveys created, enhanced with distribution and response metrics.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_scoring_category": {"name": "auto_scoring_category", "description": "The automated scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_base_url": {"name": "brand_base_url", "description": "Base url for the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_id": {"name": "brand_id", "description": "Unique ID of the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "bundle_short_name": {"name": "bundle_short_name", "description": "Short name for the content bundle that the survey is from.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "composition_type": {"name": "composition_type", "description": "Survey composition type.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creator_user_id": {"name": "creator_user_id", "description": "The unique identifier for a specific `USER` who created the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "default_scoring_category": {"name": "default_scoring_category", "description": "The default scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "division_id": {"name": "division_id", "description": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_accessed_at": {"name": "last_accessed_at", "description": "The date the survey was last accessed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_activated_at": {"name": "last_activated_at", "description": "The date the survey was last activated.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_category": {"name": "project_category", "description": "Project category of the survey.\n\nAllowed values - `CORE`, `CX`, `EX`, `BX`, `PX`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_type": {"name": "project_type", "description": "Type of [Qualtrics project](https://www.qualtrics.com/support/survey-platform/my-projects/my-projects-overview/#SelectingProjectType). Match pattern = ^[a-zA-Z]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_sha": {"name": "registry_sha", "description": "The survey registry SHA.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_version": {"name": "registry_version", "description": "The survey registry version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "schema_version": {"name": "schema_version", "description": "Qualtrics schema version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_questions": {"name": "scoring_summary_after_questions", "description": "Boolean representing whether the scoring summary is after questions.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_survey": {"name": "scoring_summary_after_survey", "description": "Boolean representing whether the scoring summary is after the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_category": {"name": "scoring_summary_category", "description": "The unique identifier for the scoring.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_name": {"name": "survey_name", "description": "Name of the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_status": {"name": "survey_status", "description": "The distribution status of the survey, or a flag indicating that it's a library block\n\nAllowed values - `Inactive`, `Active`, `Pending`, `LibBlock`, `Deactive`, `Temporary`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_id": {"name": "version_id", "description": "The unique identifier for this survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_number": {"name": "version_number", "description": "The version number of this survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_description": {"name": "version_description", "description": "A user-provided description of the survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_version_created_at": {"name": "survey_version_created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_published_versions": {"name": "count_published_versions", "description": "Number of versions that have been published for this survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "publisher_user_id": {"name": "publisher_user_id", "description": "ID of `USER` who published this survey version in your org.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "publisher_email": {"name": "publisher_email", "description": "Email of the `USER` who published the latest survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creator_email": {"name": "creator_email", "description": "Email of the `USER` who created the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_email": {"name": "owner_email", "description": "Email of the `USER` who owns the object.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_questions": {"name": "count_questions", "description": "Total number of questions (does not include deleted ones) in the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_response_duration_in_seconds": {"name": "avg_response_duration_in_seconds", "description": "On average, how long it took a respondent to finish a survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_survey_progress_pct": {"name": "avg_survey_progress_pct", "description": "On average, how far a respondent has progressed through a survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_response_duration_in_seconds": {"name": "median_response_duration_in_seconds", "description": "The median of how long it took a respondent to finish a survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_survey_progress_pct": {"name": "median_survey_progress_pct", "description": "The median of how far a respondent has progressed through a survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_survey_responses": {"name": "count_survey_responses", "description": "Total number of survey responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_completed_survey_responses": {"name": "count_completed_survey_responses", "description": "Total number of _completed_ survey responses (ie `is_finished=true`).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_survey_responses_30d": {"name": "count_survey_responses_30d", "description": "Number of survey responses recorded in the past 30 days.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_completed_survey_responses_30d": {"name": "count_completed_survey_responses_30d", "description": "Number of _completed_ survey responses recorded in the past 30 days.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_anonymous_survey_responses": {"name": "count_anonymous_survey_responses", "description": "Number of recorded survey responses distributed anonymously.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_anonymous_completed_survey_responses": {"name": "count_anonymous_completed_survey_responses", "description": "Number of _completed_ recorded survey responses distributed anonymously.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_social_media_survey_responses": {"name": "count_social_media_survey_responses", "description": "Number of recorded survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_social_media_completed_survey_responses": {"name": "count_social_media_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_personal_link_survey_responses": {"name": "count_personal_link_survey_responses", "description": "Number of recorded survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_personal_link_completed_survey_responses": {"name": "count_personal_link_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_qr_code_survey_responses": {"name": "count_qr_code_survey_responses", "description": "Number of recorded survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_qr_code_completed_survey_responses": {"name": "count_qr_code_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_email_survey_responses": {"name": "count_email_survey_responses", "description": "Number of recorded survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_email_completed_survey_responses": {"name": "count_email_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_sms_survey_responses": {"name": "count_sms_survey_responses", "description": "Number of recorded survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_sms_completed_survey_responses": {"name": "count_sms_completed_survey_responses", "description": "Number of _completed_ survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_uncategorized_survey_responses": {"name": "count_uncategorized_survey_responses", "description": "Number of recorded survey responses not distributed via the default channels.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_uncategorized_completed_survey_responses": {"name": "count_uncategorized_completed_survey_responses", "description": "Number of _completed_ survey responses not distributed via the default channels.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1703019362.872276, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__survey`", "raw_code": "with survey as (\n-- contains survey version + associated internal-user data\n    select *\n    from {{ ref('int_qualtrics__survey') }}\n),\n\nresponses as (\n\n    select *\n    from {{ var('survey_response') }}\n),\n\nquestion as (\n\n    select *\n    from {{ var('question') }}\n),\n\nagg_questions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct question_id) as count_questions\n    from question \n    where not coalesce(is_deleted, false)\n    group by 1,2\n),\n\nagg_responses as (\n\n    {# From https://qualtrics.com/support/survey-platform/distributions-module/distribution-summary/#ChannelCategorization #}\n    {% set distribution_channels = ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') %}\n\n    select\n        survey_id,\n        source_relation,\n        avg(duration_in_seconds) as avg_response_duration_in_seconds,\n        avg(progress) as avg_survey_progress_pct,\n        count(distinct response_id) as count_survey_responses,\n        count(distinct case when is_finished then response_id else null end) as count_completed_survey_responses,\n        count(distinct \n                case \n                when {{ fivetran_utils.timestamp_diff(first_date=\"recorded_date\", second_date=dbt.current_timestamp(), datepart=\"day\") }} <= 30 then response_id\n                else null end) as count_survey_responses_30d,\n        count(distinct \n                case \n                when is_finished and {{ fivetran_utils.timestamp_diff(first_date=\"recorded_date\", second_date=dbt.current_timestamp(), datepart=\"day\") }} <= 30 then response_id\n                else null end) as count_completed_survey_responses_30d,\n        \n        -- pivot out distribution channel responses\n        {% for distribution_channel in distribution_channels %}\n        count(distinct \n                case \n                when distribution_channel = '{{ distribution_channel }}' then response_id\n                else null end) as count_{{ distribution_channel }}_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = '{{ distribution_channel }}' and is_finished then response_id\n                else null end) as count_{{ distribution_channel }}_completed_survey_responses,\n        {% endfor %}\n\n        count(distinct case \n                when distribution_channel not in {{ distribution_channels }} then response_id\n                else null end) as count_uncategorized_survey_responses,\n        count(distinct case \n                when is_finished and distribution_channel not in {{ distribution_channels }} then response_id\n                else null end) as count_uncategorized_completed_survey_responses\n\n    from responses \n    group by 1,2\n),\n\ncalc_medians as (\n\n    select \n        survey_id,\n        source_relation,\n        median_response_duration_in_seconds,\n        median_survey_progress_pct\n        \n    from (\n        select \n            survey_id, \n            source_relation,\n            {{ fivetran_utils.percentile(percentile_field='duration_in_seconds', partition_field='survey_id,source_relation', percent='0.5') }} as median_response_duration_in_seconds,\n            {{ fivetran_utils.percentile(percentile_field='progress', partition_field='survey_id,source_relation', percent='0.5') }} as median_survey_progress_pct\n\n        from responses\n        {% if target.type == 'postgres' %} group by 1,2 {% endif %} -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n    {% if target.type != 'postgres' %} group by 1,2,3,4 {% endif %} -- roll up if using window function\n),\n\nsurvey_join as (\n\n    select\n        survey.*,\n        coalesce(agg_questions.count_questions, 0) as count_questions,\n\n        agg_responses.avg_response_duration_in_seconds,\n        calc_medians.median_response_duration_in_seconds,\n        agg_responses.avg_survey_progress_pct,\n        calc_medians.median_survey_progress_pct,\n        coalesce(agg_responses.count_survey_responses, 0) as count_survey_responses,\n        coalesce(agg_responses.count_completed_survey_responses, 0) as count_completed_survey_responses,\n        coalesce(agg_responses.count_survey_responses_30d, 0) as count_survey_responses_30d,\n        coalesce(agg_responses.count_completed_survey_responses_30d, 0) as count_completed_survey_responses_30d,\n\n        -- distribution channels\n        coalesce(agg_responses.count_anonymous_survey_responses, 0) as count_anonymous_survey_responses,\n        coalesce(agg_responses.count_anonymous_completed_survey_responses, 0) as count_anonymous_completed_survey_responses,\n        coalesce(agg_responses.count_social_survey_responses, 0) as count_social_media_survey_responses,\n        coalesce(agg_responses.count_social_completed_survey_responses, 0) as count_social_media_completed_survey_responses,\n        coalesce(agg_responses.count_gl_survey_responses, 0) as count_personal_link_survey_responses,\n        coalesce(agg_responses.count_gl_completed_survey_responses, 0) as count_personal_link_completed_survey_responses,\n        coalesce(agg_responses.count_qr_survey_responses, 0) as count_qr_code_survey_responses,\n        coalesce(agg_responses.count_qr_completed_survey_responses, 0) as count_qr_code_completed_survey_responses,\n        coalesce(agg_responses.count_email_survey_responses, 0) as count_email_survey_responses,\n        coalesce(agg_responses.count_email_completed_survey_responses, 0) as count_email_completed_survey_responses,\n        coalesce(agg_responses.count_smsinvite_survey_responses, 0) as count_sms_survey_responses,\n        coalesce(agg_responses.count_smsinvite_completed_survey_responses, 0) as count_sms_completed_survey_responses,\n        coalesce(agg_responses.count_uncategorized_survey_responses, 0) as count_uncategorized_survey_responses,\n        coalesce(agg_responses.count_uncategorized_completed_survey_responses, 0) as count_uncategorized_completed_survey_responses\n\n    from survey \n    left join agg_questions\n        on survey.survey_id = agg_questions.survey_id\n        and survey.source_relation = agg_questions.source_relation\n    left join agg_responses\n        on survey.survey_id = agg_responses.survey_id\n        and survey.source_relation = agg_responses.source_relation\n    left join calc_medians \n        on survey.survey_id = calc_medians.survey_id\n        and survey.source_relation = calc_medians.source_relation\n)\n\nselect *\nfrom survey_join", "language": "sql", "refs": [{"name": "int_qualtrics__survey", "package": null, "version": null}, {"name": "stg_qualtrics__survey_response", "package": null, "version": null}, {"name": "stg_qualtrics__question", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.current_timestamp", "macro.fivetran_utils.timestamp_diff", "macro.fivetran_utils.percentile"], "nodes": ["model.qualtrics.int_qualtrics__survey", "model.qualtrics_source.stg_qualtrics__survey_response", "model.qualtrics_source.stg_qualtrics__question"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__survey.sql", "compiled": true, "compiled_code": "with  __dbt__cte__int_qualtrics__survey as (\nwith survey as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`\n),\n\nqualtrics_user as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`\n),\n\nsurvey_version as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version`\n),\n\nlatest_version as (\n\n    select *\n    from survey_version \n    where is_published\n),\n\nagg_versions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct version_number) as count_published_versions\n    from survey_version\n    where was_published and not is_deleted\n    group by 1,2\n),\n\nsurvey_join as (\n\n    select\n\n        survey.*,\n        latest_version.version_id,\n        latest_version.version_number,\n        latest_version.version_description,\n        latest_version.created_at as survey_version_created_at,\n        agg_versions.count_published_versions,\n        latest_version.publisher_user_id,\n        version_publisher.email as publisher_email, \n        creator.email as creator_email,\n        owner.email as owner_email\n\n    from survey\n    left join latest_version\n        on survey.survey_id = latest_version.survey_id\n        and survey.source_relation = latest_version.source_relation\n    left join qualtrics_user as version_publisher\n        on latest_version.publisher_user_id = version_publisher.user_id\n        and latest_version.source_relation = version_publisher.source_relation\n    left join qualtrics_user as owner\n        on survey.owner_user_id = owner.user_id\n        and survey.source_relation = owner.source_relation\n    left join qualtrics_user as creator\n        on survey.creator_user_id = creator.user_id\n        and survey.source_relation = creator.source_relation\n    left join agg_versions \n        on survey.survey_id = agg_versions.survey_id\n        and survey.source_relation = agg_versions.source_relation\n)\n\nselect *\nfrom survey_join\n), survey as (\n-- contains survey version + associated internal-user data\n    select *\n    from __dbt__cte__int_qualtrics__survey\n),\n\nresponses as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\nquestion as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question`\n),\n\nagg_questions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct question_id) as count_questions\n    from question \n    where not coalesce(is_deleted, false)\n    group by 1,2\n),\n\nagg_responses as (\n\n    \n    \n\n    select\n        survey_id,\n        source_relation,\n        avg(duration_in_seconds) as avg_response_duration_in_seconds,\n        avg(progress) as avg_survey_progress_pct,\n        count(distinct response_id) as count_survey_responses,\n        count(distinct case when is_finished then response_id else null end) as count_completed_survey_responses,\n        count(distinct \n                case \n                when \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        recorded_date,\n        day\n    )\n\n\n <= 30 then response_id\n                else null end) as count_survey_responses_30d,\n        count(distinct \n                case \n                when is_finished and \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        recorded_date,\n        day\n    )\n\n\n <= 30 then response_id\n                else null end) as count_completed_survey_responses_30d,\n        \n        -- pivot out distribution channel responses\n        \n        count(distinct \n                case \n                when distribution_channel = 'anonymous' then response_id\n                else null end) as count_anonymous_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'anonymous' and is_finished then response_id\n                else null end) as count_anonymous_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'social' then response_id\n                else null end) as count_social_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'social' and is_finished then response_id\n                else null end) as count_social_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'gl' then response_id\n                else null end) as count_gl_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'gl' and is_finished then response_id\n                else null end) as count_gl_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'qr' then response_id\n                else null end) as count_qr_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'qr' and is_finished then response_id\n                else null end) as count_qr_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'email' then response_id\n                else null end) as count_email_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'email' and is_finished then response_id\n                else null end) as count_email_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' then response_id\n                else null end) as count_smsinvite_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' and is_finished then response_id\n                else null end) as count_smsinvite_completed_survey_responses,\n        \n\n        count(distinct case \n                when distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then response_id\n                else null end) as count_uncategorized_survey_responses,\n        count(distinct case \n                when is_finished and distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then response_id\n                else null end) as count_uncategorized_completed_survey_responses\n\n    from responses \n    group by 1,2\n),\n\ncalc_medians as (\n\n    select \n        survey_id,\n        source_relation,\n        median_response_duration_in_seconds,\n        median_survey_progress_pct\n        \n    from (\n        select \n            survey_id, \n            source_relation,\n            \n\n    percentile_cont( \n        duration_in_seconds, \n        0.5) \n        over (partition by survey_id,source_relation    \n        )\n\n as median_response_duration_in_seconds,\n            \n\n    percentile_cont( \n        progress, \n        0.5) \n        over (partition by survey_id,source_relation    \n        )\n\n as median_survey_progress_pct\n\n        from responses\n         -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n     group by 1,2,3,4  -- roll up if using window function\n),\n\nsurvey_join as (\n\n    select\n        survey.*,\n        coalesce(agg_questions.count_questions, 0) as count_questions,\n\n        agg_responses.avg_response_duration_in_seconds,\n        calc_medians.median_response_duration_in_seconds,\n        agg_responses.avg_survey_progress_pct,\n        calc_medians.median_survey_progress_pct,\n        coalesce(agg_responses.count_survey_responses, 0) as count_survey_responses,\n        coalesce(agg_responses.count_completed_survey_responses, 0) as count_completed_survey_responses,\n        coalesce(agg_responses.count_survey_responses_30d, 0) as count_survey_responses_30d,\n        coalesce(agg_responses.count_completed_survey_responses_30d, 0) as count_completed_survey_responses_30d,\n\n        -- distribution channels\n        coalesce(agg_responses.count_anonymous_survey_responses, 0) as count_anonymous_survey_responses,\n        coalesce(agg_responses.count_anonymous_completed_survey_responses, 0) as count_anonymous_completed_survey_responses,\n        coalesce(agg_responses.count_social_survey_responses, 0) as count_social_media_survey_responses,\n        coalesce(agg_responses.count_social_completed_survey_responses, 0) as count_social_media_completed_survey_responses,\n        coalesce(agg_responses.count_gl_survey_responses, 0) as count_personal_link_survey_responses,\n        coalesce(agg_responses.count_gl_completed_survey_responses, 0) as count_personal_link_completed_survey_responses,\n        coalesce(agg_responses.count_qr_survey_responses, 0) as count_qr_code_survey_responses,\n        coalesce(agg_responses.count_qr_completed_survey_responses, 0) as count_qr_code_completed_survey_responses,\n        coalesce(agg_responses.count_email_survey_responses, 0) as count_email_survey_responses,\n        coalesce(agg_responses.count_email_completed_survey_responses, 0) as count_email_completed_survey_responses,\n        coalesce(agg_responses.count_smsinvite_survey_responses, 0) as count_sms_survey_responses,\n        coalesce(agg_responses.count_smsinvite_completed_survey_responses, 0) as count_sms_completed_survey_responses,\n        coalesce(agg_responses.count_uncategorized_survey_responses, 0) as count_uncategorized_survey_responses,\n        coalesce(agg_responses.count_uncategorized_completed_survey_responses, 0) as count_uncategorized_completed_survey_responses\n\n    from survey \n    left join agg_questions\n        on survey.survey_id = agg_questions.survey_id\n        and survey.source_relation = agg_questions.source_relation\n    left join agg_responses\n        on survey.survey_id = agg_responses.survey_id\n        and survey.source_relation = agg_responses.source_relation\n    left join calc_medians \n        on survey.survey_id = calc_medians.survey_id\n        and survey.source_relation = calc_medians.source_relation\n)\n\nselect *\nfrom survey_join", "extra_ctes_injected": true, "extra_ctes": [{"id": "model.qualtrics.int_qualtrics__survey", "sql": " __dbt__cte__int_qualtrics__survey as (\nwith survey as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`\n),\n\nqualtrics_user as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`\n),\n\nsurvey_version as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version`\n),\n\nlatest_version as (\n\n    select *\n    from survey_version \n    where is_published\n),\n\nagg_versions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct version_number) as count_published_versions\n    from survey_version\n    where was_published and not is_deleted\n    group by 1,2\n),\n\nsurvey_join as (\n\n    select\n\n        survey.*,\n        latest_version.version_id,\n        latest_version.version_number,\n        latest_version.version_description,\n        latest_version.created_at as survey_version_created_at,\n        agg_versions.count_published_versions,\n        latest_version.publisher_user_id,\n        version_publisher.email as publisher_email, \n        creator.email as creator_email,\n        owner.email as owner_email\n\n    from survey\n    left join latest_version\n        on survey.survey_id = latest_version.survey_id\n        and survey.source_relation = latest_version.source_relation\n    left join qualtrics_user as version_publisher\n        on latest_version.publisher_user_id = version_publisher.user_id\n        and latest_version.source_relation = version_publisher.source_relation\n    left join qualtrics_user as owner\n        on survey.owner_user_id = owner.user_id\n        and survey.source_relation = owner.source_relation\n    left join qualtrics_user as creator\n        on survey.creator_user_id = creator.user_id\n        and survey.source_relation = creator.source_relation\n    left join agg_versions \n        on survey.survey_id = agg_versions.survey_id\n        and survey.source_relation = agg_versions.source_relation\n)\n\nselect *\nfrom survey_join\n)"}], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics.qualtrics__contact": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics", "name": "qualtrics__contact", "resource_type": "model", "package_name": "qualtrics", "path": "qualtrics__contact.sql", "original_file_path": "models/qualtrics__contact.sql", "unique_id": "model.qualtrics.qualtrics__contact", "fqn": ["qualtrics", "qualtrics__contact"], "alias": "qualtrics__contact", "checksum": {"name": "sha256", "checksum": "d733f2c2c2b3f524df72a5d1e0eb7e8cbe8b20d1d3f971c67bb46dd4498e00a3"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package"], "description": "Detailed view of all contacts (from both the XM Directory and Research Core contact endpoints), ehanced with response and mailing list metrics.", "columns": {"contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_xm_directory_contact": {"name": "is_xm_directory_contact", "description": "Boolean representing whether the contact came from the XM Directory API endpoint (ie stored in the `directory_contact` table).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_research_core_contact": {"name": "is_research_core_contact", "description": "Boolean representing whether the contact came from the (to-be-deprecated) Research Core API endpoint (ie stored in the `core_contact` table).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "The user's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email_domain": {"name": "email_domain", "description": "Domain of the contact's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "external_data_reference": {"name": "external_data_reference", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_unsubscribed_from_directory": {"name": "is_unsubscribed_from_directory", "description": "Boolean indicating whether the contact unsubscribed from all contact from the Directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed_from_directory_at": {"name": "unsubscribed_from_directory_at", "description": "Date and time the user opted out of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_ids": {"name": "mailing_list_ids", "description": "Comma-separated list of mailing list IDs the record is associated with.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_mailing_lists_subscribed_to": {"name": "count_mailing_lists_subscribed_to", "description": "Count of distinct mailing lists the contact is a member of and has not opted out of.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_mailing_lists_unsubscribed_from": {"name": "count_mailing_lists_unsubscribed_from", "description": "Count of distinct mailing lists that the contact has opted out of receiving emails through.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_sent_email": {"name": "count_surveys_sent_email", "description": "Distinct surveys sent to the contact via email invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_sent_sms": {"name": "count_surveys_sent_sms", "description": "Distinct surveys sent to the contact via SMS invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_opened_email": {"name": "count_surveys_opened_email", "description": "Distinct surveys opened by the contact via email invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_opened_sms": {"name": "count_surveys_opened_sms", "description": "Distinct surveys opened by the contact via SMS invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_started_email": {"name": "count_surveys_started_email", "description": "Distinct surveys started by the contact via email invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_started_sms": {"name": "count_surveys_started_sms", "description": "Distinct surveys started by the contact via SMS invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_completed_email": {"name": "count_surveys_completed_email", "description": "Distinct surveys completed by the contact via email invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "count_surveys_completed_sms": {"name": "count_surveys_completed_sms", "description": "Distinct surveys completed by the contact via SMS invite.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_surveys": {"name": "total_count_surveys", "description": "Total distinct surveys distributed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "total_count_completed_surveys": {"name": "total_count_completed_surveys", "description": "Total distinct surveys completed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_survey_progress_pct": {"name": "avg_survey_progress_pct", "description": "On average, how far a respondent has progressed through a survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "avg_survey_duration_in_seconds": {"name": "avg_survey_duration_in_seconds", "description": "On average, how long it took a respondent to finish a survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_survey_progress_pct": {"name": "median_survey_progress_pct", "description": "The median of how far a respondent has progressed through a survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "median_survey_duration_in_seconds": {"name": "median_survey_duration_in_seconds", "description": "The median of how long it took a respondent to finish a survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_survey_response_recorded_at": {"name": "last_survey_response_recorded_at", "description": "The most recent point in time when a survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_survey_response_recorded_at": {"name": "first_survey_response_recorded_at", "description": "The earliest point in time when a survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_name": {"name": "directory_name", "description": "Name of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_in_default_directory": {"name": "is_in_default_directory", "description": "Boolean representing if this directory is the default one for your brand. \n\nThe default directory will be the first directory listed in the dropdown menu in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_directory_deleted": {"name": "is_directory_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics://models/qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "qualtrics", "materialized": "table"}, "created_at": 1703019362.878073, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__contact`", "raw_code": "with contacts as (\n\n    select *\n    from {{ ref('int_qualtrics__contacts') }}\n),\n\ndirectory as (\n\n    select *\n    from {{ var('directory') }}\n),\n\ndistribution_contact as (\n\n    select *\n    from {{ var('distribution_contact') }}\n),\n\ndistribution as (\n-- just to grab survey id \n    select *\n    from {{ var('distribution') }}\n),\n\nsurvey_response as (\n\n    select *\n    from {{ var('survey_response') }}\n),\n\ndistribution_response as (\n\n    select\n        distribution_contact.*,\n        distribution.survey_id,\n        survey_response.distribution_channel,\n        survey_response.progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished,\n        survey_response.recorded_date\n\n    from distribution_contact \n    left join distribution\n        on distribution_contact.distribution_id = distribution.distribution_id\n        and distribution_contact.source_relation = distribution.source_relation\n    left join survey_response\n        on distribution_contact.response_id = survey_response.response_id\n        and distribution.survey_id = survey_response.survey_id\n        and distribution_contact.source_relation = survey_response.source_relation\n),\n\nagg_distribution_responses as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when sent_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_sent_email,\n        count(distinct case when sent_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_sent_sms,\n        count(distinct case when opened_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_opened_email,\n        count(distinct case when opened_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_opened_sms,\n        count(distinct case when response_started_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_started_email,\n        count(distinct case when response_started_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_started_sms,\n        count(distinct case when response_completed_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_completed_email,\n        count(distinct case when response_completed_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_completed_sms\n    from distribution_response\n    group by 1,2\n),\n\nagg_survey_responses as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct survey_id) as total_count_surveys,\n        count(distinct case when is_finished then survey_id else null end) as total_count_completed_surveys,\n        avg(progress) as avg_survey_progress_pct,\n        avg(duration_in_seconds) as avg_survey_duration_in_seconds,\n        max(recorded_date) as last_survey_response_recorded_at,\n        min(recorded_date) as first_survey_response_recorded_at\n        \n    from distribution_response\n    group by 1,2\n),\n\ncalc_medians as (\n\n    select \n        contact_id,\n        source_relation,\n        median_survey_duration_in_seconds,\n        median_survey_progress_pct\n        \n    from (\n        select \n            contact_id, \n            source_relation,\n            {{ fivetran_utils.percentile(percentile_field='duration_in_seconds', partition_field='contact_id,source_relation', percent='0.5') }} as median_survey_duration_in_seconds,\n            {{ fivetran_utils.percentile(percentile_field='progress', partition_field='contact_id,source_relation', percent='0.5') }} as median_survey_progress_pct\n\n        from distribution_response\n        {% if target.type == 'postgres' %} group by 1,2 {% endif %} -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n    {% if target.type != 'postgres' %} group by 1,2,3,4 {% endif %} -- roll up if using window function\n),\n\nfinal as (\n    \n    select \n        contacts.*,\n        coalesce(agg_distribution_responses.count_surveys_sent_email, 0) as count_surveys_sent_email,\n        coalesce(agg_distribution_responses.count_surveys_sent_sms, 0) as count_surveys_sent_sms,\n        coalesce(agg_distribution_responses.count_surveys_opened_email, 0) as count_surveys_opened_email,\n        coalesce(agg_distribution_responses.count_surveys_opened_sms, 0) as count_surveys_opened_sms,\n        coalesce(agg_distribution_responses.count_surveys_started_email, 0) as count_surveys_started_email,\n        coalesce(agg_distribution_responses.count_surveys_started_sms, 0) as count_surveys_started_sms,\n        coalesce(agg_distribution_responses.count_surveys_completed_email, 0) as count_surveys_completed_email,\n        coalesce(agg_distribution_responses.count_surveys_completed_sms, 0) as count_surveys_completed_sms,\n        coalesce(agg_survey_responses.total_count_surveys, 0) as total_count_surveys,\n        coalesce(agg_survey_responses.total_count_completed_surveys, 0) as total_count_completed_surveys,\n        agg_survey_responses.avg_survey_progress_pct,\n        agg_survey_responses.avg_survey_duration_in_seconds,\n        calc_medians.median_survey_progress_pct,\n        calc_medians.median_survey_duration_in_seconds,\n        agg_survey_responses.last_survey_response_recorded_at,\n        agg_survey_responses.first_survey_response_recorded_at,\n        directory.name as directory_name,\n        directory.is_default as is_in_default_directory,\n        directory.is_deleted as is_directory_deleted\n\n    from contacts\n    left join agg_survey_responses\n        on contacts.contact_id = agg_survey_responses.contact_id\n        and contacts.source_relation = agg_survey_responses.source_relation\n    left join agg_distribution_responses\n        on contacts.contact_id = agg_distribution_responses.contact_id\n        and contacts.source_relation = agg_distribution_responses.source_relation\n    left join directory\n        on contacts.directory_id = directory.directory_id \n        and contacts.source_relation = directory.source_relation\n    left join calc_medians\n        on contacts.contact_id = calc_medians.contact_id\n        and contacts.source_relation = calc_medians.source_relation\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "int_qualtrics__contacts", "package": null, "version": null}, {"name": "stg_qualtrics__directory", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_contact", "package": null, "version": null}, {"name": "stg_qualtrics__distribution", "package": null, "version": null}, {"name": "stg_qualtrics__survey_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.percentile"], "nodes": ["model.qualtrics.int_qualtrics__contacts", "model.qualtrics_source.stg_qualtrics__directory", "model.qualtrics_source.stg_qualtrics__distribution_contact", "model.qualtrics_source.stg_qualtrics__distribution", "model.qualtrics_source.stg_qualtrics__survey_response"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics__contact.sql", "compiled": true, "compiled_code": "with  __dbt__cte__int_qualtrics__contacts as (\n\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final\n), contacts as (\n\n    select *\n    from __dbt__cte__int_qualtrics__contacts\n),\n\ndirectory as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory`\n),\n\ndistribution_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\ndistribution as (\n-- just to grab survey id \n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`\n),\n\nsurvey_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\ndistribution_response as (\n\n    select\n        distribution_contact.*,\n        distribution.survey_id,\n        survey_response.distribution_channel,\n        survey_response.progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished,\n        survey_response.recorded_date\n\n    from distribution_contact \n    left join distribution\n        on distribution_contact.distribution_id = distribution.distribution_id\n        and distribution_contact.source_relation = distribution.source_relation\n    left join survey_response\n        on distribution_contact.response_id = survey_response.response_id\n        and distribution.survey_id = survey_response.survey_id\n        and distribution_contact.source_relation = survey_response.source_relation\n),\n\nagg_distribution_responses as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when sent_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_sent_email,\n        count(distinct case when sent_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_sent_sms,\n        count(distinct case when opened_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_opened_email,\n        count(distinct case when opened_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_opened_sms,\n        count(distinct case when response_started_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_started_email,\n        count(distinct case when response_started_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_started_sms,\n        count(distinct case when response_completed_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_completed_email,\n        count(distinct case when response_completed_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_completed_sms\n    from distribution_response\n    group by 1,2\n),\n\nagg_survey_responses as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct survey_id) as total_count_surveys,\n        count(distinct case when is_finished then survey_id else null end) as total_count_completed_surveys,\n        avg(progress) as avg_survey_progress_pct,\n        avg(duration_in_seconds) as avg_survey_duration_in_seconds,\n        max(recorded_date) as last_survey_response_recorded_at,\n        min(recorded_date) as first_survey_response_recorded_at\n        \n    from distribution_response\n    group by 1,2\n),\n\ncalc_medians as (\n\n    select \n        contact_id,\n        source_relation,\n        median_survey_duration_in_seconds,\n        median_survey_progress_pct\n        \n    from (\n        select \n            contact_id, \n            source_relation,\n            \n\n    percentile_cont( \n        duration_in_seconds, \n        0.5) \n        over (partition by contact_id,source_relation    \n        )\n\n as median_survey_duration_in_seconds,\n            \n\n    percentile_cont( \n        progress, \n        0.5) \n        over (partition by contact_id,source_relation    \n        )\n\n as median_survey_progress_pct\n\n        from distribution_response\n         -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n     group by 1,2,3,4  -- roll up if using window function\n),\n\nfinal as (\n    \n    select \n        contacts.*,\n        coalesce(agg_distribution_responses.count_surveys_sent_email, 0) as count_surveys_sent_email,\n        coalesce(agg_distribution_responses.count_surveys_sent_sms, 0) as count_surveys_sent_sms,\n        coalesce(agg_distribution_responses.count_surveys_opened_email, 0) as count_surveys_opened_email,\n        coalesce(agg_distribution_responses.count_surveys_opened_sms, 0) as count_surveys_opened_sms,\n        coalesce(agg_distribution_responses.count_surveys_started_email, 0) as count_surveys_started_email,\n        coalesce(agg_distribution_responses.count_surveys_started_sms, 0) as count_surveys_started_sms,\n        coalesce(agg_distribution_responses.count_surveys_completed_email, 0) as count_surveys_completed_email,\n        coalesce(agg_distribution_responses.count_surveys_completed_sms, 0) as count_surveys_completed_sms,\n        coalesce(agg_survey_responses.total_count_surveys, 0) as total_count_surveys,\n        coalesce(agg_survey_responses.total_count_completed_surveys, 0) as total_count_completed_surveys,\n        agg_survey_responses.avg_survey_progress_pct,\n        agg_survey_responses.avg_survey_duration_in_seconds,\n        calc_medians.median_survey_progress_pct,\n        calc_medians.median_survey_duration_in_seconds,\n        agg_survey_responses.last_survey_response_recorded_at,\n        agg_survey_responses.first_survey_response_recorded_at,\n        directory.name as directory_name,\n        directory.is_default as is_in_default_directory,\n        directory.is_deleted as is_directory_deleted\n\n    from contacts\n    left join agg_survey_responses\n        on contacts.contact_id = agg_survey_responses.contact_id\n        and contacts.source_relation = agg_survey_responses.source_relation\n    left join agg_distribution_responses\n        on contacts.contact_id = agg_distribution_responses.contact_id\n        and contacts.source_relation = agg_distribution_responses.source_relation\n    left join directory\n        on contacts.directory_id = directory.directory_id \n        and contacts.source_relation = directory.source_relation\n    left join calc_medians\n        on contacts.contact_id = calc_medians.contact_id\n        and contacts.source_relation = calc_medians.source_relation\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [{"id": "model.qualtrics.int_qualtrics__contacts", "sql": " __dbt__cte__int_qualtrics__contacts as (\n\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final\n)"}], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics.int_qualtrics__question": {"database": "dbt-package-testing", "schema": "qualtrics_tests_int_qualtrics", "name": "int_qualtrics__question", "resource_type": "model", "package_name": "qualtrics", "path": "intermediate/int_qualtrics__question.sql", "original_file_path": "models/intermediate/int_qualtrics__question.sql", "unique_id": "model.qualtrics.int_qualtrics__question", "fqn": ["qualtrics", "intermediate", "int_qualtrics__question"], "alias": "int_qualtrics__question", "checksum": {"name": "sha256", "checksum": "045f8c9538cff669efcb6a70b15937453fdf0f0ef19c899cec7be4178cd66836"}, "config": {"enabled": true, "alias": null, "schema": "int_qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "ephemeral", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "int_qualtrics", "materialized": "ephemeral"}, "created_at": 1703019362.3214238, "relation_name": null, "raw_code": "with question as (\n\n    select *\n    from {{ var('question') }}\n),\n\nblock_question as (\n\n    select *\n    from {{ var('block_question') }}\n    where not coalesce(is_deleted, false) -- lets get rid of deleted questions\n),\n\nblock as (\n\n    select *\n    from {{ var('block') }}\n),\n\nsub_question as (\n    \n    select *\n    from {{ var('sub_question') }}\n),\n\nquestion_join as (\n\n    select\n        question.question_id,\n        {{ dbt.split_part('question.question_id', \"'#'\", 1) }} as parent_question_id,\n        question.question_text,\n        question.survey_id,\n        question.question_description,\n        question.question_description_option,\n        sub_question.key as sub_question_key,\n        sub_question.text as sub_question_text,\n        question.question_type,\n        question.selector,\n        question.sub_selector,\n        question.is_data_hidden,\n        question.is_data_private,\n        question.is_deleted as is_question_deleted,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.data_export_tag,\n        sub_question.choice_data_export_tag,\n        block.block_id,\n        block.description as block_description,\n        block.randomize_questions as block_question_randomization,\n        block.type as block_type,\n        block.block_visibility,\n        block.is_locked as is_block_locked,\n        block.is_deleted as is_block_deleted,\n        question.next_answer_id,\n        question.next_choice_id,\n        question.source_relation\n\n    from question\n    left join sub_question\n        on question.question_id = sub_question.question_id {# this will fan out the grain from question_id to question_id+sub_question_key#}\n        and question.survey_id = sub_question.survey_id\n        and question.source_relation = sub_question.source_relation\n    \n    left join block_question\n        on question.question_id = block_question.question_id\n        and question.survey_id = block_question.survey_id\n        and question.source_relation = block_question.source_relation\n\n    left join block\n        on block_question.block_id = block.block_id\n        and block_question.survey_id = block.survey_id\n        and block_question.source_relation = block.source_relation\n\n)\n\nselect *\nfrom question_join", "language": "sql", "refs": [{"name": "stg_qualtrics__question", "package": null, "version": null}, {"name": "stg_qualtrics__block_question", "package": null, "version": null}, {"name": "stg_qualtrics__block", "package": null, "version": null}, {"name": "stg_qualtrics__sub_question", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.split_part"], "nodes": ["model.qualtrics_source.stg_qualtrics__question", "model.qualtrics_source.stg_qualtrics__block_question", "model.qualtrics_source.stg_qualtrics__block", "model.qualtrics_source.stg_qualtrics__sub_question"]}, "compiled_path": "target/compiled/qualtrics/models/intermediate/int_qualtrics__question.sql", "compiled": true, "compiled_code": "with question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question`\n),\n\nblock_question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question`\n    where not coalesce(is_deleted, false) -- lets get rid of deleted questions\n),\n\nblock as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block`\n),\n\nsub_question as (\n    \n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question`\n),\n\nquestion_join as (\n\n    select\n        question.question_id,\n        \n\n  \n    split(\n        question.question_id,\n        '#'\n        )[safe_offset(0)]\n  \n\n as parent_question_id,\n        question.question_text,\n        question.survey_id,\n        question.question_description,\n        question.question_description_option,\n        sub_question.key as sub_question_key,\n        sub_question.text as sub_question_text,\n        question.question_type,\n        question.selector,\n        question.sub_selector,\n        question.is_data_hidden,\n        question.is_data_private,\n        question.is_deleted as is_question_deleted,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.data_export_tag,\n        sub_question.choice_data_export_tag,\n        block.block_id,\n        block.description as block_description,\n        block.randomize_questions as block_question_randomization,\n        block.type as block_type,\n        block.block_visibility,\n        block.is_locked as is_block_locked,\n        block.is_deleted as is_block_deleted,\n        question.next_answer_id,\n        question.next_choice_id,\n        question.source_relation\n\n    from question\n    left join sub_question\n        on question.question_id = sub_question.question_id \n        and question.survey_id = sub_question.survey_id\n        and question.source_relation = sub_question.source_relation\n    \n    left join block_question\n        on question.question_id = block_question.question_id\n        and question.survey_id = block_question.survey_id\n        and question.source_relation = block_question.source_relation\n\n    left join block\n        on block_question.block_id = block.block_id\n        and block_question.survey_id = block.survey_id\n        and block_question.source_relation = block.source_relation\n\n)\n\nselect *\nfrom question_join", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics.int_qualtrics__responses": {"database": "dbt-package-testing", "schema": "qualtrics_tests_int_qualtrics", "name": "int_qualtrics__responses", "resource_type": "model", "package_name": "qualtrics", "path": "intermediate/int_qualtrics__responses.sql", "original_file_path": "models/intermediate/int_qualtrics__responses.sql", "unique_id": "model.qualtrics.int_qualtrics__responses", "fqn": ["qualtrics", "intermediate", "int_qualtrics__responses"], "alias": "int_qualtrics__responses", "checksum": {"name": "sha256", "checksum": "cd5a0cebcb039dfc5590af8a36fdd8a163978274cfa6c47e3e35711deb4de26f"}, "config": {"enabled": true, "alias": null, "schema": "int_qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "ephemeral", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "int_qualtrics", "materialized": "ephemeral"}, "created_at": 1703019362.3289301, "relation_name": null, "raw_code": "with question_response as (\n\n    select *\n    from {{ var('question_response') }}\n),\n\nsurvey_response as (\n\n    select *\n    from {{ var('survey_response') }}\n),\n\nresponse_join as (\n\n    select \n        question_response._fivetran_id as question_response_id,\n        question_response.response_id as survey_response_id,\n        survey_response.survey_id,\n        question_response.question_id,\n        question_response.question as question_text,\n        question_response.sub_question_key,\n        question_response.sub_question_text,\n        question_response.question_option_key,\n        question_response.value,\n        question_response.loop_id,\n        survey_response.distribution_channel,\n        survey_response.status as survey_response_status,\n        survey_response.progress as survey_progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished as is_finished_with_survey,\n        survey_response.finished_at as survey_finished_at,\n        survey_response.last_modified_at as survey_response_last_modified_at,\n        survey_response.recorded_date as survey_response_recorded_at,\n        survey_response.started_at as survey_response_started_at,\n        survey_response.recipient_email,\n        survey_response.recipient_first_name,\n        survey_response.recipient_last_name,\n        survey_response.user_language,\n        survey_response.ip_address,\n        survey_response.location_latitude,\n        survey_response.location_longitude,\n        question_response.source_relation\n    \n    from question_response \n    inner join survey_response -- every question response will belong to an overall \"survey response\"\n        on question_response.response_id = survey_response.response_id\n        and question_response.source_relation = survey_response.source_relation\n        \n)\n\nselect *\nfrom response_join", "language": "sql", "refs": [{"name": "stg_qualtrics__question_response", "package": null, "version": null}, {"name": "stg_qualtrics__survey_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": [], "nodes": ["model.qualtrics_source.stg_qualtrics__question_response", "model.qualtrics_source.stg_qualtrics__survey_response"]}, "compiled_path": "target/compiled/qualtrics/models/intermediate/int_qualtrics__responses.sql", "compiled": true, "compiled_code": "with question_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response`\n),\n\nsurvey_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\nresponse_join as (\n\n    select \n        question_response._fivetran_id as question_response_id,\n        question_response.response_id as survey_response_id,\n        survey_response.survey_id,\n        question_response.question_id,\n        question_response.question as question_text,\n        question_response.sub_question_key,\n        question_response.sub_question_text,\n        question_response.question_option_key,\n        question_response.value,\n        question_response.loop_id,\n        survey_response.distribution_channel,\n        survey_response.status as survey_response_status,\n        survey_response.progress as survey_progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished as is_finished_with_survey,\n        survey_response.finished_at as survey_finished_at,\n        survey_response.last_modified_at as survey_response_last_modified_at,\n        survey_response.recorded_date as survey_response_recorded_at,\n        survey_response.started_at as survey_response_started_at,\n        survey_response.recipient_email,\n        survey_response.recipient_first_name,\n        survey_response.recipient_last_name,\n        survey_response.user_language,\n        survey_response.ip_address,\n        survey_response.location_latitude,\n        survey_response.location_longitude,\n        question_response.source_relation\n    \n    from question_response \n    inner join survey_response -- every question response will belong to an overall \"survey response\"\n        on question_response.response_id = survey_response.response_id\n        and question_response.source_relation = survey_response.source_relation\n        \n)\n\nselect *\nfrom response_join", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics.int_qualtrics__survey_embedded_data": {"database": "dbt-package-testing", "schema": "qualtrics_tests_int_qualtrics", "name": "int_qualtrics__survey_embedded_data", "resource_type": "model", "package_name": "qualtrics", "path": "intermediate/int_qualtrics__survey_embedded_data.sql", "original_file_path": "models/intermediate/int_qualtrics__survey_embedded_data.sql", "unique_id": "model.qualtrics.int_qualtrics__survey_embedded_data", "fqn": ["qualtrics", "intermediate", "int_qualtrics__survey_embedded_data"], "alias": "int_qualtrics__survey_embedded_data", "checksum": {"name": "sha256", "checksum": "840873087c882c170c9807466fbf5679240a05b814926eaad6322450b632dfe1"}, "config": {"enabled": true, "alias": null, "schema": "int_qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "ephemeral", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "int_qualtrics", "materialized": "ephemeral"}, "created_at": 1703019362.335765, "relation_name": null, "raw_code": "with survey_embedded_data as (\n\n    select *\n    from {{ var('survey_embedded_data') }}\n),\n\njsonify as (\n\n    select\n        response_id, -- survey_response\n        source_relation,\n        '{' || {{ fivetran_utils.string_agg('key || ' ~ \"':'\" ~ ' || value', \"', '\") }} || '}' as embedded_data\n    from survey_embedded_data\n    group by 1,2\n)\n\nselect \n    response_id,\n    source_relation,\n    embedded_data\nfrom jsonify \ngroup by 1,2,3", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_embedded_data", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.string_agg"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_embedded_data"]}, "compiled_path": "target/compiled/qualtrics/models/intermediate/int_qualtrics__survey_embedded_data.sql", "compiled": true, "compiled_code": "with survey_embedded_data as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`\n),\n\njsonify as (\n\n    select\n        response_id, -- survey_response\n        source_relation,\n        '{' || \n    string_agg(key || ':' || value, ', ')\n\n || '}' as embedded_data\n    from survey_embedded_data\n    group by 1,2\n)\n\nselect \n    response_id,\n    source_relation,\n    embedded_data\nfrom jsonify \ngroup by 1,2,3", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics.int_qualtrics__survey": {"database": "dbt-package-testing", "schema": "qualtrics_tests_int_qualtrics", "name": "int_qualtrics__survey", "resource_type": "model", "package_name": "qualtrics", "path": "intermediate/int_qualtrics__survey.sql", "original_file_path": "models/intermediate/int_qualtrics__survey.sql", "unique_id": "model.qualtrics.int_qualtrics__survey", "fqn": ["qualtrics", "intermediate", "int_qualtrics__survey"], "alias": "int_qualtrics__survey", "checksum": {"name": "sha256", "checksum": "81d4ddc30012dc9ae27b11005d7f6efdc6e9450953534519cfd54c2fe2447048"}, "config": {"enabled": true, "alias": null, "schema": "int_qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "ephemeral", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "int_qualtrics", "materialized": "ephemeral"}, "created_at": 1703019362.3414369, "relation_name": null, "raw_code": "with survey as (\n\n    select *\n    from {{ var('survey') }}\n),\n\nqualtrics_user as (\n\n    select *\n    from {{ var('user') }}\n),\n\nsurvey_version as (\n\n    select *\n    from {{ var('survey_version') }}\n),\n\nlatest_version as (\n\n    select *\n    from survey_version \n    where is_published\n),\n\nagg_versions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct version_number) as count_published_versions\n    from survey_version\n    where was_published and not is_deleted\n    group by 1,2\n),\n\nsurvey_join as (\n\n    select\n\n        survey.*,\n        latest_version.version_id,\n        latest_version.version_number,\n        latest_version.version_description,\n        latest_version.created_at as survey_version_created_at,\n        agg_versions.count_published_versions,\n        latest_version.publisher_user_id,\n        version_publisher.email as publisher_email, \n        creator.email as creator_email,\n        owner.email as owner_email\n\n    from survey\n    left join latest_version\n        on survey.survey_id = latest_version.survey_id\n        and survey.source_relation = latest_version.source_relation\n    left join qualtrics_user as version_publisher\n        on latest_version.publisher_user_id = version_publisher.user_id\n        and latest_version.source_relation = version_publisher.source_relation\n    left join qualtrics_user as owner\n        on survey.owner_user_id = owner.user_id\n        and survey.source_relation = owner.source_relation\n    left join qualtrics_user as creator\n        on survey.creator_user_id = creator.user_id\n        and survey.source_relation = creator.source_relation\n    left join agg_versions \n        on survey.survey_id = agg_versions.survey_id\n        and survey.source_relation = agg_versions.source_relation\n)\n\nselect *\nfrom survey_join", "language": "sql", "refs": [{"name": "stg_qualtrics__survey", "package": null, "version": null}, {"name": "stg_qualtrics__user", "package": null, "version": null}, {"name": "stg_qualtrics__survey_version", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": [], "nodes": ["model.qualtrics_source.stg_qualtrics__survey", "model.qualtrics_source.stg_qualtrics__user", "model.qualtrics_source.stg_qualtrics__survey_version"]}, "compiled_path": "target/compiled/qualtrics/models/intermediate/int_qualtrics__survey.sql", "compiled": true, "compiled_code": "with survey as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`\n),\n\nqualtrics_user as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`\n),\n\nsurvey_version as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version`\n),\n\nlatest_version as (\n\n    select *\n    from survey_version \n    where is_published\n),\n\nagg_versions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct version_number) as count_published_versions\n    from survey_version\n    where was_published and not is_deleted\n    group by 1,2\n),\n\nsurvey_join as (\n\n    select\n\n        survey.*,\n        latest_version.version_id,\n        latest_version.version_number,\n        latest_version.version_description,\n        latest_version.created_at as survey_version_created_at,\n        agg_versions.count_published_versions,\n        latest_version.publisher_user_id,\n        version_publisher.email as publisher_email, \n        creator.email as creator_email,\n        owner.email as owner_email\n\n    from survey\n    left join latest_version\n        on survey.survey_id = latest_version.survey_id\n        and survey.source_relation = latest_version.source_relation\n    left join qualtrics_user as version_publisher\n        on latest_version.publisher_user_id = version_publisher.user_id\n        and latest_version.source_relation = version_publisher.source_relation\n    left join qualtrics_user as owner\n        on survey.owner_user_id = owner.user_id\n        and survey.source_relation = owner.source_relation\n    left join qualtrics_user as creator\n        on survey.creator_user_id = creator.user_id\n        and survey.source_relation = creator.source_relation\n    left join agg_versions \n        on survey.survey_id = agg_versions.survey_id\n        and survey.source_relation = agg_versions.source_relation\n)\n\nselect *\nfrom survey_join", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics.int_qualtrics__contacts": {"database": "dbt-package-testing", "schema": "qualtrics_tests_int_qualtrics", "name": "int_qualtrics__contacts", "resource_type": "model", "package_name": "qualtrics", "path": "intermediate/int_qualtrics__contacts.sql", "original_file_path": "models/intermediate/int_qualtrics__contacts.sql", "unique_id": "model.qualtrics.int_qualtrics__contacts", "fqn": ["qualtrics", "intermediate", "int_qualtrics__contacts"], "alias": "int_qualtrics__contacts", "checksum": {"name": "sha256", "checksum": "2468fc62fc9be3f0f48db8f3a85fcb8f4935003286d27960a580a2fc1d490dae"}, "config": {"enabled": true, "alias": null, "schema": "int_qualtrics", "database": null, "tags": ["qualtrics", "fivetran_package"], "meta": {}, "group": null, "materialized": "ephemeral", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package"], "schema": "int_qualtrics", "materialized": "ephemeral"}, "created_at": 1703019362.3467798, "relation_name": null, "raw_code": "{# \nThis model unions together contacts from the XM Directory and Research Core Contact endpoints.\nResearch Core contacts will be deprecated in 2023 by Qualtrics\n#}\nwith directory_contact as (\n\n    select *\n    from {{ var('directory_contact') }}\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from {{ var('contact_mailing_list_membership') }}\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        {{ fivetran_utils.string_agg('mailing_list_id', \"', '\") }} as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n{% if var('qualtrics__using_core_contacts', false) %}\ncore_contact as (\n\n    select *\n    from {{ var('core_contact') }}\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        {{ fivetran_utils.string_agg('mailing_list_id', \"', '\") }} as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        {% if var('qualtrics__directory_contact_pass_through_columns', none) %}\n            {% for field in var('qualtrics__directory_contact_pass_through_columns') %}\n                , null as {{ field.alias if field.alias else field.name }}\n            {% endfor %}\n        {% endif %}\n\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='qualtrics__core_contact_pass_through_columns', identifier='core_contact_join') }}\n\n\n    from core_contact_join\n    union all \n\n{% else %}\nfinal as (\n{% endif %}\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        {{ fivetran_utils.persist_pass_through_columns(pass_through_variable='qualtrics__directory_contact_pass_through_columns') }}\n\n        {% if var('qualtrics__core_contact_pass_through_columns', none) %}\n            {% for field in var('qualtrics__core_contact_pass_through_columns') %}\n                , null as {{ field.alias if field.alias else field.name }}\n            {% endfor %}\n        {% endif %}\n\n    from directory_contact_join\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_contact", "package": null, "version": null}, {"name": "stg_qualtrics__contact_mailing_list_membership", "package": null, "version": null}, {"name": "stg_qualtrics__core_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.string_agg", "macro.fivetran_utils.persist_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_contact", "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership", "model.qualtrics_source.stg_qualtrics__core_contact"]}, "compiled_path": "target/compiled/qualtrics/models/intermediate/int_qualtrics__contacts.sql", "compiled": true, "compiled_code": "\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__survey": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__survey", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__survey.sql", "original_file_path": "models/stg_qualtrics__survey.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey", "fqn": ["qualtrics_source", "stg_qualtrics__survey"], "alias": "stg_qualtrics__survey", "checksum": {"name": "sha256", "checksum": "1c98b95f41fa069046add44b3c572b84b83fa7eaaba94c4318370403b2551c64"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Qualtrics survey.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_scoring_category": {"name": "auto_scoring_category", "description": "The automated scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_base_url": {"name": "brand_base_url", "description": "Base url for the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_id": {"name": "brand_id", "description": "Unique ID of the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "bundle_short_name": {"name": "bundle_short_name", "description": "Short name for the content bundle that the survey is from.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "composition_type": {"name": "composition_type", "description": "Survey composition type.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creator_user_id": {"name": "creator_user_id", "description": "The unique identifier for a specific `USER` who created the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "default_scoring_category": {"name": "default_scoring_category", "description": "The default scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "division_id": {"name": "division_id", "description": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_accessed_at": {"name": "last_accessed_at", "description": "The date the survey was last accessed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_activated_at": {"name": "last_activated_at", "description": "The date the survey was last activated.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_category": {"name": "project_category", "description": "Project category of the survey.\n\nAllowed values - `CORE`, `CX`, `EX`, `BX`, `PX`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_type": {"name": "project_type", "description": "Type of [Qualtrics project](https://www.qualtrics.com/support/survey-platform/my-projects/my-projects-overview/#SelectingProjectType). Match pattern = ^[a-zA-Z]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_sha": {"name": "registry_sha", "description": "The survey registry SHA.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_version": {"name": "registry_version", "description": "The survey registry version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "schema_version": {"name": "schema_version", "description": "Qualtrics schema version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_questions": {"name": "scoring_summary_after_questions", "description": "Boolean representing whether the scoring summary is after questions.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_survey": {"name": "scoring_summary_after_survey", "description": "Boolean representing whether the scoring summary is after the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_category": {"name": "scoring_summary_category", "description": "The unique identifier for the scoring.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_name": {"name": "survey_name", "description": "Name of the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_status": {"name": "survey_status", "description": "The distribution status of the survey, or a flag indicating that it's a library block\n\nAllowed values - `Inactive`, `Active`, `Pending`, `LibBlock`, `Deactive`, `Temporary`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.976845, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__survey_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__survey_tmp')),\n                staging_columns=get_survey_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        id as survey_id,\n        survey_name,\n        survey_status,\n        brand_base_url,\n        brand_id,\n        bundle_short_name,\n        composition_type,\n        auto_scoring_category,\n        default_scoring_category,\n        division_id,\n        creator_id as creator_user_id,\n        owner_id as owner_user_id,\n        project_category,\n        project_type,\n        registry_sha,\n        registry_version,\n        schema_version,\n        scoring_summary_after_questions,\n        scoring_summary_after_survey,\n        scoring_summary_category,\n        last_accessed as last_accessed_at,\n        last_activated as last_activated_at,\n        last_modified as last_modified_at,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        {{ fivetran_utils.fill_pass_through_columns('qualtrics__survey_pass_through_columns') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__survey_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_survey_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__survey.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    auto_scoring_category\n    \n as \n    \n    auto_scoring_category\n    \n, \n    \n    \n    brand_base_url\n    \n as \n    \n    brand_base_url\n    \n, \n    \n    \n    brand_id\n    \n as \n    \n    brand_id\n    \n, \n    \n    \n    bundle_short_name\n    \n as \n    \n    bundle_short_name\n    \n, \n    \n    \n    composition_type\n    \n as \n    \n    composition_type\n    \n, \n    \n    \n    creator_id\n    \n as \n    \n    creator_id\n    \n, \n    \n    \n    default_scoring_category\n    \n as \n    \n    default_scoring_category\n    \n, \n    \n    \n    division_id\n    \n as \n    \n    division_id\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    last_accessed\n    \n as \n    \n    last_accessed\n    \n, \n    \n    \n    last_activated\n    \n as \n    \n    last_activated\n    \n, \n    \n    \n    last_modified\n    \n as \n    \n    last_modified\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n, \n    \n    \n    project_category\n    \n as \n    \n    project_category\n    \n, \n    \n    \n    project_type\n    \n as \n    \n    project_type\n    \n, \n    \n    \n    registry_sha\n    \n as \n    \n    registry_sha\n    \n, \n    \n    \n    registry_version\n    \n as \n    \n    registry_version\n    \n, \n    \n    \n    schema_version\n    \n as \n    \n    schema_version\n    \n, \n    \n    \n    scoring_summary_after_questions\n    \n as \n    \n    scoring_summary_after_questions\n    \n, \n    \n    \n    scoring_summary_after_survey\n    \n as \n    \n    scoring_summary_after_survey\n    \n, \n    \n    \n    scoring_summary_category\n    \n as \n    \n    scoring_summary_category\n    \n, \n    \n    \n    survey_name\n    \n as \n    \n    survey_name\n    \n, \n    \n    \n    survey_status\n    \n as \n    \n    survey_status\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        id as survey_id,\n        survey_name,\n        survey_status,\n        brand_base_url,\n        brand_id,\n        bundle_short_name,\n        composition_type,\n        auto_scoring_category,\n        default_scoring_category,\n        division_id,\n        creator_id as creator_user_id,\n        owner_id as owner_user_id,\n        project_category,\n        project_type,\n        registry_sha,\n        registry_version,\n        schema_version,\n        scoring_summary_after_questions,\n        scoring_summary_after_survey,\n        scoring_summary_category,\n        last_accessed as last_accessed_at,\n        last_activated as last_activated_at,\n        last_modified as last_modified_at,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__block_question": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__block_question", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__block_question.sql", "original_file_path": "models/stg_qualtrics__block_question.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__block_question", "fqn": ["qualtrics_source", "stg_qualtrics__block_question"], "alias": "stg_qualtrics__block_question", "checksum": {"name": "sha256", "checksum": "9058b1a430fb1b6aea93f2c7b97324dd96ba56eab90265bbd4837bd7c29eecbd"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Table relating questions and blocks together.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_id": {"name": "block_id", "description": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.985226, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__block_question_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__block_question_tmp')),\n                staging_columns=get_block_question_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n    \n    select \n        block_id,\n        question_id,\n        survey_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__block_question_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__block_question_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_block_question_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__block_question_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__block_question.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    block_id\n    \n as \n    \n    block_id\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n    \n    select \n        block_id,\n        question_id,\n        survey_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__question_option": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__question_option", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__question_option.sql", "original_file_path": "models/stg_qualtrics__question_option.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question_option", "fqn": ["qualtrics_source", "stg_qualtrics__question_option"], "alias": "stg_qualtrics__question_option", "checksum": {"name": "sha256", "checksum": "b7f4a09e6ecbc2e72900e78ffe3bbd104183414ffda7453c5f5e620609ae40a4"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Choice options for survey questions.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "The key of the `QUESTION_OPTION` that was chosen.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recode_value": {"name": "recode_value", "description": "Recode/mapping value for the option.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "text": {"name": "text", "description": "Question option text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.980481, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_option`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__question_option_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__question_option_tmp')),\n                staging_columns=get_question_option_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        question_id,\n        survey_id,\n        key,\n        recode_value,\n        text,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__question_option_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__question_option_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_question_option_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_option_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__question_option.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_option_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    key\n    \n as \n    \n    key\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    recode_value\n    \n as \n    \n    recode_value\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    text\n    \n as \n    \n    text\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        question_id,\n        survey_id,\n        key,\n        recode_value,\n        text,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__contact_mailing_list_membership", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__contact_mailing_list_membership.sql", "original_file_path": "models/stg_qualtrics__contact_mailing_list_membership.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership", "fqn": ["qualtrics_source", "stg_qualtrics__contact_mailing_list_membership"], "alias": "stg_qualtrics__contact_mailing_list_membership", "checksum": {"name": "sha256", "checksum": "f2804491e5f571f910c142a7d6eec5c1124ff6ba452302f8304ef35fc73badcd"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Table relating contacts to mailing lists they are a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_lookup_id": {"name": "contact_lookup_id", "description": "Optional contact lookup ID for individual distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed_at": {"name": "unsubscribed_at", "description": "Date and time the user opted out of this mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_unsubscribed": {"name": "is_unsubscribed", "description": "Boolean indicating whether the contact has opted out of receiving email through this mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.990156, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__contact_mailing_list_membership_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__contact_mailing_list_membership_tmp')),\n                staging_columns=get_contact_mailing_list_membership_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        contact_id,\n        contact_lookup_id,\n        directory_id,\n        mailing_list_id,\n        name,\n        owner_id as owner_user_id,\n        unsubscribe_date as unsubscribed_at,\n        unsubscribed as is_unsubscribed,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__contact_mailing_list_membership_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__contact_mailing_list_membership_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_contact_mailing_list_membership_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__contact_mailing_list_membership.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    contact_id\n    \n as \n    \n    contact_id\n    \n, \n    \n    \n    contact_lookup_id\n    \n as \n    \n    contact_lookup_id\n    \n, \n    \n    \n    directory_id\n    \n as \n    \n    directory_id\n    \n, \n    \n    \n    mailing_list_id\n    \n as \n    \n    mailing_list_id\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n, \n    \n    \n    unsubscribe_date\n    \n as \n    \n    unsubscribe_date\n    \n, \n    \n    \n    unsubscribed\n    \n as \n    \n    unsubscribed\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        contact_id,\n        contact_lookup_id,\n        directory_id,\n        mailing_list_id,\n        name,\n        owner_id as owner_user_id,\n        unsubscribe_date as unsubscribed_at,\n        unsubscribed as is_unsubscribed,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__directory_contact": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__directory_contact", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__directory_contact.sql", "original_file_path": "models/stg_qualtrics__directory_contact.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory_contact", "fqn": ["qualtrics_source", "stg_qualtrics__directory_contact"], "alias": "stg_qualtrics__directory_contact", "checksum": {"name": "sha256", "checksum": "26785ef82e46939248fd78625de22dfda2a218855a6d03cb406f701d691c78b3"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Tablle relating contacts to the directories they are a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed_from_directory_at": {"name": "unsubscribed_from_directory_at", "description": "Date and time the user opted out of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_unsubscribed_from_directory": {"name": "is_unsubscribed_from_directory", "description": "Boolean indicating whether the contact unsubscribed from all contact from the Directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "Contact's email address. Must be in proper email format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email_domain": {"name": "email_domain", "description": "Domain of the contact's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ext_ref": {"name": "ext_ref", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "phone": {"name": "phone", "description": "Contact's phone number.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.986565, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__directory_contact_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__directory_contact_tmp')),\n                staging_columns=get_directory_contact_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        directory_id,\n        directory_unsubscribe_date as unsubscribed_from_directory_at,\n        directory_unsubscribed as is_unsubscribed_from_directory,\n        lower(email) as email,\n        lower(email_domain) as email_domain,\n        ext_ref,\n        first_name,\n        last_name,\n        REGEXP_REPLACE(phone, '[^0-9]', '') AS phone, -- remove any non-numeric chars\n        id as contact_id,\n        language,\n        last_modified as last_modified_at,\n        _fivetran_synced,\n        source_relation\n\n        {{ fivetran_utils.fill_pass_through_columns('qualtrics__directory_contact_pass_through_columns') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_contact_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__directory_contact_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_directory_contact_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_contact_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__directory_contact.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    creation_date\n    \n as \n    \n    creation_date\n    \n, \n    \n    \n    directory_id\n    \n as \n    \n    directory_id\n    \n, \n    \n    \n    directory_unsubscribe_date\n    \n as \n    \n    directory_unsubscribe_date\n    \n, \n    \n    \n    directory_unsubscribed\n    \n as \n    \n    directory_unsubscribed\n    \n, \n    \n    \n    email\n    \n as \n    \n    email\n    \n, \n    \n    \n    email_domain\n    \n as \n    \n    email_domain\n    \n, \n    \n    \n    ext_ref\n    \n as \n    \n    ext_ref\n    \n, \n    \n    \n    first_name\n    \n as \n    \n    first_name\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    language\n    \n as \n    \n    language\n    \n, \n    \n    \n    last_modified\n    \n as \n    \n    last_modified\n    \n, \n    \n    \n    last_name\n    \n as \n    \n    last_name\n    \n, \n    \n    \n    phone\n    \n as \n    \n    phone\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        directory_id,\n        directory_unsubscribe_date as unsubscribed_from_directory_at,\n        directory_unsubscribed as is_unsubscribed_from_directory,\n        lower(email) as email,\n        lower(email_domain) as email_domain,\n        ext_ref,\n        first_name,\n        last_name,\n        REGEXP_REPLACE(phone, '[^0-9]', '') AS phone, -- remove any non-numeric chars\n        id as contact_id,\n        language,\n        last_modified as last_modified_at,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__question_response": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__question_response", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__question_response.sql", "original_file_path": "models/stg_qualtrics__question_response.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question_response", "fqn": ["qualtrics_source", "stg_qualtrics__question_response"], "alias": "stg_qualtrics__question_response", "checksum": {"name": "sha256", "checksum": "30c4f871c3b5aebedfa5a2d8b2edb0f6d7f9536c180b39c43695476f672a7aea"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Responses to individual questions (and their sub-questions).", "columns": {"_fivetran_id": {"name": "_fivetran_id", "description": "Fivetran-generated unique key hashed on `response_id`, `question_id`, `sub_question_key`, `sub_question_text` , `question_option_key` , `loop_id` and `importId`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "loop_id": {"name": "loop_id", "description": "ID of the [Loop and Merge](https://www.qualtrics.com/support/survey-platform/survey-module/block-options/loop-and-merge/) object this response is associated with.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question": {"name": "question", "description": "Question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_option_key": {"name": "question_option_key", "description": "The key of the `QUESTION_OPTION` that was chosen.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_key": {"name": "sub_question_key", "description": "Key of the sub question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_text": {"name": "sub_question_text", "description": "Sub question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "value": {"name": "value", "description": "Value of the question response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.979729, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__question_response_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__question_response_tmp')),\n                staging_columns=get_question_response_columns()\n            )\n        }}\n        \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        _fivetran_id,\n        loop_id,\n        question_id,\n        question,\n        question_option_key,\n        response_id,\n        sub_question_key,\n        sub_question_text,\n        value,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__question_response_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__question_response_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_question_response_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_response_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__question_response.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_id\n    \n as \n    \n    _fivetran_id\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    loop_id\n    \n as \n    \n    loop_id\n    \n, \n    \n    \n    question\n    \n as \n    \n    question\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    question_option_key\n    \n as \n    \n    question_option_key\n    \n, \n    \n    \n    response_id\n    \n as \n    \n    response_id\n    \n, \n    \n    \n    sub_question_key\n    \n as \n    \n    sub_question_key\n    \n, \n    \n    \n    sub_question_text\n    \n as \n    \n    sub_question_text\n    \n, \n    \n    \n    value\n    \n as \n    \n    value\n    \n\n\n\n        \n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        _fivetran_id,\n        loop_id,\n        question_id,\n        question,\n        question_option_key,\n        response_id,\n        sub_question_key,\n        sub_question_text,\n        value,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__directory": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__directory", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__directory.sql", "original_file_path": "models/stg_qualtrics__directory.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory", "fqn": ["qualtrics_source", "stg_qualtrics__directory"], "alias": "stg_qualtrics__directory", "checksum": {"name": "sha256", "checksum": "46839c63e3b81e0963f546946a4509962c9b1c008bf131e875e0a8fcfe0cd68c"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "A directory is an address book for the entire brand and contains all of the contacts that have been added by your users.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_email": {"name": "is_deduped_on_email", "description": "Boolean representing if directory contacts are deduped based on email.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_ext_ref": {"name": "is_deduped_on_ext_ref", "description": "Boolean representing if directory contacts are deduped based on an external data reference.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_first_name": {"name": "is_deduped_on_first_name", "description": "Boolean representing if directory contacts are deduped based on first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_last_name": {"name": "is_deduped_on_last_name", "description": "Boolean representing if directory contacts are deduped based on last name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deduped_on_phone": {"name": "is_deduped_on_phone", "description": "Boolean representing if directory contacts are deduped based on phone number.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_default": {"name": "is_default", "description": "Boolean representing if this directory is the default one for your brand. \n\nThe default directory will be the first directory listed in the dropdown menu in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.985705, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__directory_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__directory_tmp')),\n                staging_columns=get_directory_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        deduplication_criteria_email as is_deduped_on_email,\n        deduplication_criteria_external_data_reference as is_deduped_on_ext_ref,\n        deduplication_criteria_first_name as is_deduped_on_first_name,\n        deduplication_criteria_last_name as is_deduped_on_last_name,\n        deduplication_criteria_phone as is_deduped_on_phone,\n        id as directory_id,\n        is_default,\n        name,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        {{ fivetran_utils.fill_pass_through_columns('qualtrics__directory_pass_through_columns') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__directory_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_directory_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__directory.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    deduplication_criteria_email\n    \n as \n    \n    deduplication_criteria_email\n    \n, \n    \n    \n    deduplication_criteria_external_data_reference\n    \n as \n    \n    deduplication_criteria_external_data_reference\n    \n, \n    \n    \n    deduplication_criteria_first_name\n    \n as \n    \n    deduplication_criteria_first_name\n    \n, \n    \n    \n    deduplication_criteria_last_name\n    \n as \n    \n    deduplication_criteria_last_name\n    \n, \n    \n    \n    deduplication_criteria_phone\n    \n as \n    \n    deduplication_criteria_phone\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    is_default\n    \n as \n    \n    is_default\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        deduplication_criteria_email as is_deduped_on_email,\n        deduplication_criteria_external_data_reference as is_deduped_on_ext_ref,\n        deduplication_criteria_first_name as is_deduped_on_first_name,\n        deduplication_criteria_last_name as is_deduped_on_last_name,\n        deduplication_criteria_phone as is_deduped_on_phone,\n        id as directory_id,\n        is_default,\n        name,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__distribution_contact": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__distribution_contact", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__distribution_contact.sql", "original_file_path": "models/stg_qualtrics__distribution_contact.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__distribution_contact", "fqn": ["qualtrics_source", "stg_qualtrics__distribution_contact"], "alias": "stg_qualtrics__distribution_contact", "checksum": {"name": "sha256", "checksum": "43831a29ed4b17b822118997dfc126d584a423bd03dd8702f23551e2346f1956"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Table relating contacts to distributions they've been a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_frequency_rule_id": {"name": "contact_frequency_rule_id", "description": "The contact frequency Rule ID. Ex - FQ_AAB234234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_lookup_id": {"name": "contact_lookup_id", "description": "Optional contact lookup ID for individual distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_id": {"name": "distribution_id", "description": "The unique Distribution ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "opened_at": {"name": "opened_at", "description": "The time a survey was opened by the respondent, will be null if the survey has not been opened.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_completed_at": {"name": "response_completed_at", "description": "The time a response was completed, will be null for uncompleted surveys.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The ID of the survey response submitted by this contact. If no survey response has been submitted, this value will be null. If the survey was setup to anonymize responses, then this value will be `Anonymous`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_started_at": {"name": "response_started_at", "description": "The time a response was started by the respondent, will be null if survey has not been started.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sent_at": {"name": "sent_at", "description": "The time a survey was sent to the respondent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "One of:\n- `Pending` - The distribution is scheduled but has yet to be sent.\n- `Success` - The distribution was successfully delivered to the contact.\n- `Error` - An error occurred while attempting to send the distribution.\n- `Opened` - The distribution was opened by the contact.\n- `Complaint` - The contact complained that the distribution was spam.\n- `Skipped` - The contact was skipped due to contact frequency rules or blacklisted contact information.\n- `Blocked` - The distribution failed to send, because the contact blocked it or the email was caught by the spam circuit breaker.\n- `Failure` - The distribution failed to be delivered.\n- `Unknown` - The distribution failed for an unknown reason.\n- `SoftBounce` - The distribution bounced but can be retried.\n- `HardBounce` - The distribution bounced and should not be retried.\n- `SurveyStarted` - The contact started the survey distributed.\n- `SurveyPartiallyFinished` - The contact submitted a partially completed survey response.\n- `SurveyFinished` - The contact submitted a completed survey response.\n- `SurveyScreenedOut` - The contact screened out while taking the survey.\n- `SessionExpired` - The contact's survey session has expired.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link": {"name": "survey_link", "description": "The survey link sent with the distribution. This is null when no link was sent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_session_id": {"name": "survey_session_id", "description": "An identifier that represents the session in which the respondent interacted with the survey", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.988993, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__distribution_contact_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__distribution_contact_tmp')),\n                staging_columns=get_distribution_contact_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        contact_frequency_rule_id,\n        contact_id,\n        contact_lookup_id,\n        distribution_id,\n        opened_at,\n        response_completed_at,\n        response_id,\n        response_started_at,\n        sent_at,\n        status,\n        survey_link,\n        survey_session_id,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution_contact_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_contact_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_distribution_contact_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution_contact_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__distribution_contact.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    contact_frequency_rule_id\n    \n as \n    \n    contact_frequency_rule_id\n    \n, \n    \n    \n    contact_id\n    \n as \n    \n    contact_id\n    \n, \n    \n    \n    contact_lookup_id\n    \n as \n    \n    contact_lookup_id\n    \n, \n    \n    \n    distribution_id\n    \n as \n    \n    distribution_id\n    \n, \n    \n    \n    opened_at\n    \n as \n    \n    opened_at\n    \n, \n    \n    \n    response_completed_at\n    \n as \n    \n    response_completed_at\n    \n, \n    \n    \n    response_id\n    \n as \n    \n    response_id\n    \n, \n    \n    \n    response_started_at\n    \n as \n    \n    response_started_at\n    \n, \n    \n    \n    sent_at\n    \n as \n    \n    sent_at\n    \n, \n    \n    \n    status\n    \n as \n    \n    status\n    \n, \n    \n    \n    survey_link\n    \n as \n    \n    survey_link\n    \n, \n    \n    \n    survey_session_id\n    \n as \n    \n    survey_session_id\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        contact_frequency_rule_id,\n        contact_id,\n        contact_lookup_id,\n        distribution_id,\n        opened_at,\n        response_completed_at,\n        response_id,\n        response_started_at,\n        sent_at,\n        status,\n        survey_link,\n        survey_session_id,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__block": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__block", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__block.sql", "original_file_path": "models/stg_qualtrics__block.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__block", "fqn": ["qualtrics_source", "stg_qualtrics__block"], "alias": "stg_qualtrics__block", "checksum": {"name": "sha256", "checksum": "cd863a598c429db991f7b567006b2b67b9308f85076e6fefe77b1f89355f1c1b"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Groups of questions, used to organize longer surveys and conditionally display sets of questions.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_locked": {"name": "is_locked", "description": "Boolean representing whether modification of the block and its contents is prevented.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_visibility": {"name": "block_visibility", "description": "Whether the questions in the block are 'collapsed' or 'expanded' by default.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "description": {"name": "description", "description": "Description given to the block.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_id": {"name": "block_id", "description": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "randomize_questions": {"name": "randomize_questions", "description": "If/how the block questions are randomized. Can be - `false` (no randomization), `RandomWithXPerPage` (randomize all and place X questions in each block), `RandomWithOnlyX` (randomly present only X out of the total questions), or `Advanced` (custom configuration)", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "Type of block. Can be `Trash`, `Default`, or `Standard`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.984864, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__block_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__block_tmp')),\n                staging_columns=get_block_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n\n    from base\n),\n\nfinal as (\n    \n    select \n        block_locking as is_locked,\n        block_visibility,\n        description,\n        id as block_id,\n        randomize_questions,\n        survey_id,\n        type,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__block_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__block_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_block_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__block_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__block.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    block_locking\n    \n as \n    \n    block_locking\n    \n, \n    \n    \n    block_visibility\n    \n as \n    \n    block_visibility\n    \n, \n    \n    \n    description\n    \n as \n    \n    description\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    randomize_questions\n    \n as \n    \n    randomize_questions\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    type\n    \n as \n    \n    type\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n    \n    select \n        block_locking as is_locked,\n        block_visibility,\n        description,\n        id as block_id,\n        randomize_questions,\n        survey_id,\n        type,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__distribution": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__distribution", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__distribution.sql", "original_file_path": "models/stg_qualtrics__distribution.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__distribution", "fqn": ["qualtrics_source", "stg_qualtrics__distribution"], "alias": "stg_qualtrics__distribution", "checksum": {"name": "sha256", "checksum": "1c61ecfd6be931c2863784850e21210658b1e777308ae51e84c4e41d737d9f5c"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Use distributions to reach out to contacts in the XM Directory platform, with or without a survey attached.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_email": {"name": "header_from_email", "description": "Email from address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_name": {"name": "header_from_name", "description": "Email from name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_reply_to_email": {"name": "header_reply_to_email", "description": "Email reply-to address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_subject": {"name": "header_subject", "description": "Email subject; text or message id (MS_).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_id": {"name": "distribution_id", "description": "The unique Distribution ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_library_id": {"name": "message_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_id": {"name": "message_id", "description": "The ID for the desired library message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_text": {"name": "message_text", "description": "Text of the message to send.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "organization_id": {"name": "organization_id", "description": "ID of the organization/brand this record belongs to.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "parent_distribution_id": {"name": "parent_distribution_id", "description": "The unique ID of the parent distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_contact_id": {"name": "recipient_contact_id", "description": "The contact ID of the recipient. Can point to `directory_contact` or `core_contact`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_library_id": {"name": "recipient_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_mailing_list_id": {"name": "recipient_mailing_list_id", "description": "The mailing list or contact group associated with the distribution(s). Can point to `directory_mailing_list` or `core_mailing_list`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_sample_id": {"name": "recipient_sample_id", "description": "The ID for the desired sample. Can point to `directory_sample` or `core_sample` (not included in package).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_status": {"name": "request_status", "description": "The distribution's status. States include `Pending` and `Done`. The Pending state is for email that is scheduled to be sent at a later time.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_type": {"name": "request_type", "description": "The distribution's type. Types include `Invite`, `Reminder`, and `ThankYou`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "send_at": {"name": "send_at", "description": "The date and time the request will be or was sent (in ISO 8601 format). Note that this date and time could be in the future if the email distribution is scheduled to send after a delay.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_expires_at": {"name": "survey_link_expires_at", "description": "The expiration date for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_type": {"name": "survey_link_type", "description": "The link type (`Individual`, `Anonymous`, or `Multiple`) for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique survey ID. Will be non-null even if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.987343, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__distribution_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__distribution_tmp')),\n                staging_columns=get_distribution_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        created_date as created_at,\n        header_from_email,\n        header_from_name,\n        header_reply_to_email,\n        header_subject,\n        id as distribution_id,\n        message_library_id,\n        message_message_id as message_id,\n        message_message_text as message_text,\n        modified_date as last_modified_at,\n        organization_id,\n        owner_id as owner_user_id,\n        parent_distribution_id,\n        recipient_contact_id,\n        recipient_library_id,\n        recipient_mailing_list_id,\n        recipient_sample_id,\n        request_status,\n        request_type,\n        send_date as send_at,\n        survey_link_expiration_date as survey_link_expires_at,\n        survey_link_link_type as survey_link_type,\n        survey_link_survey_id as survey_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        {{ fivetran_utils.fill_pass_through_columns('qualtrics__distribution_pass_through_columns') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__distribution_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_distribution_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__distribution.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    created_date\n    \n as \n    \n    created_date\n    \n, \n    \n    \n    header_from_email\n    \n as \n    \n    header_from_email\n    \n, \n    \n    \n    header_from_name\n    \n as \n    \n    header_from_name\n    \n, \n    \n    \n    header_reply_to_email\n    \n as \n    \n    header_reply_to_email\n    \n, \n    \n    \n    header_subject\n    \n as \n    \n    header_subject\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    message_library_id\n    \n as \n    \n    message_library_id\n    \n, \n    \n    \n    message_message_id\n    \n as \n    \n    message_message_id\n    \n, \n    \n    \n    message_message_text\n    \n as \n    \n    message_message_text\n    \n, \n    \n    \n    modified_date\n    \n as \n    \n    modified_date\n    \n, \n    \n    \n    organization_id\n    \n as \n    \n    organization_id\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n, \n    \n    \n    parent_distribution_id\n    \n as \n    \n    parent_distribution_id\n    \n, \n    \n    \n    recipient_contact_id\n    \n as \n    \n    recipient_contact_id\n    \n, \n    \n    \n    recipient_library_id\n    \n as \n    \n    recipient_library_id\n    \n, \n    \n    \n    recipient_mailing_list_id\n    \n as \n    \n    recipient_mailing_list_id\n    \n, \n    \n    \n    recipient_sample_id\n    \n as \n    \n    recipient_sample_id\n    \n, \n    \n    \n    request_status\n    \n as \n    \n    request_status\n    \n, \n    \n    \n    request_type\n    \n as \n    \n    request_type\n    \n, \n    \n    \n    send_date\n    \n as \n    \n    send_date\n    \n, \n    \n    \n    survey_link_expiration_date\n    \n as \n    \n    survey_link_expiration_date\n    \n, \n    \n    \n    survey_link_link_type\n    \n as \n    \n    survey_link_link_type\n    \n, \n    \n    \n    survey_link_survey_id\n    \n as \n    \n    survey_link_survey_id\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        created_date as created_at,\n        header_from_email,\n        header_from_name,\n        header_reply_to_email,\n        header_subject,\n        id as distribution_id,\n        message_library_id,\n        message_message_id as message_id,\n        message_message_text as message_text,\n        modified_date as last_modified_at,\n        organization_id,\n        owner_id as owner_user_id,\n        parent_distribution_id,\n        recipient_contact_id,\n        recipient_library_id,\n        recipient_mailing_list_id,\n        recipient_sample_id,\n        request_status,\n        request_type,\n        send_date as send_at,\n        survey_link_expiration_date as survey_link_expires_at,\n        survey_link_link_type as survey_link_type,\n        survey_link_survey_id as survey_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__core_contact": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__core_contact", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__core_contact.sql", "original_file_path": "models/stg_qualtrics__core_contact.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__core_contact", "fqn": ["qualtrics_source", "stg_qualtrics__core_contact"], "alias": "stg_qualtrics__core_contact", "checksum": {"name": "sha256", "checksum": "0d7c4b22f30fd1570c3c8a6f70369361624bf7267c54569e6c2c960fbaa5d1ad"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Research Core contacts (non-XM directory).", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "Mailing List Contact ID (different from `contact_id`). ex: `MLRP_*`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "Contact's email address. Must be in proper email format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "external_data_reference": {"name": "external_data_reference", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_unsubscribed": {"name": "is_unsubscribed", "description": "Boolean indicating if the user unsubscribed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email_domain": {"name": "email_domain", "description": "Domain of the contact's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table", "enabled": true}, "created_at": 1703019362.990669, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`", "raw_code": "{{ config(enabled=var('qualtrics__using_core_contacts', false)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_qualtrics__core_contact_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__core_contact_tmp')),\n                staging_columns=get_core_contact_columns()\n            )\n        }}\n    \n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as contact_id,\n        mailing_list_id,\n        first_name,\n        last_name,\n        lower(email) as email,\n        {{ dbt.split_part('email', \"'@'\", 2) }} as email_domain,\n        external_data_reference,\n        language,\n        unsubscribed as is_unsubscribed,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        {{ fivetran_utils.fill_pass_through_columns('qualtrics__core_contact_pass_through_columns') }}\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__core_contact_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__core_contact_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_core_contact_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.dbt.split_part", "macro.fivetran_utils.fill_pass_through_columns"], "nodes": ["model.qualtrics_source.stg_qualtrics__core_contact_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__core_contact.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    mailing_list_id\n    \n as \n    \n    mailing_list_id\n    \n, \n    \n    \n    first_name\n    \n as \n    \n    first_name\n    \n, \n    \n    \n    last_name\n    \n as \n    \n    last_name\n    \n, \n    \n    \n    email\n    \n as \n    \n    email\n    \n, \n    \n    \n    external_data_reference\n    \n as \n    \n    external_data_reference\n    \n, \n    \n    \n    language\n    \n as \n    \n    language\n    \n, \n    \n    \n    unsubscribed\n    \n as \n    \n    unsubscribed\n    \n, \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n\n\n\n    \n        \n\n\n, cast('' as string) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as contact_id,\n        mailing_list_id,\n        first_name,\n        last_name,\n        lower(email) as email,\n        \n\n  \n    split(\n        email,\n        '@'\n        )[safe_offset(1)]\n  \n\n as email_domain,\n        external_data_reference,\n        language,\n        unsubscribed as is_unsubscribed,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__survey_embedded_data": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__survey_embedded_data", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__survey_embedded_data.sql", "original_file_path": "models/stg_qualtrics__survey_embedded_data.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_embedded_data", "fqn": ["qualtrics_source", "stg_qualtrics__survey_embedded_data"], "alias": "stg_qualtrics__survey_embedded_data", "checksum": {"name": "sha256", "checksum": "f414470a3eeb52358ba7caf772f85b20b103f04e906d338f81985ec0892d14ac"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Any extra information you would like recorded in addition to the question responses.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "import_id": {"name": "import_id", "description": "A unique identifier to recognize this import job of embedded survey data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "Key of the embedded survey data element.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "value": {"name": "value", "description": "Key of the embedded survey data element.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.9838212, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__survey_embedded_data_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__survey_embedded_data_tmp')),\n                staging_columns=get_survey_embedded_data_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        import_id,\n        key,\n        response_id,\n        value,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_embedded_data_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__survey_embedded_data_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_survey_embedded_data_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_embedded_data_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__survey_embedded_data.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    import_id\n    \n as \n    \n    import_id\n    \n, \n    \n    \n    key\n    \n as \n    \n    key\n    \n, \n    \n    \n    response_id\n    \n as \n    \n    response_id\n    \n, \n    \n    \n    value\n    \n as \n    \n    value\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        import_id,\n        key,\n        response_id,\n        value,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__survey_response": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__survey_response", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__survey_response.sql", "original_file_path": "models/stg_qualtrics__survey_response.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_response", "fqn": ["qualtrics_source", "stg_qualtrics__survey_response"], "alias": "stg_qualtrics__survey_response", "checksum": {"name": "sha256", "checksum": "55557fd0cd25fc738d8a4b58cae78c99831e4236ac236519b76e87db4b72c518"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Individual responses to surveys. A response becomes \"recorded\" when a respondent submits a survey,  a survey is manually closed from the Responses in Progress page, or a survey session expires.\n", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_channel": {"name": "distribution_channel", "description": "The method by which the survey was distributed to respondents.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "duration_in_seconds": {"name": "duration_in_seconds", "description": "How long it took for the respondent to finish the survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "finished_at": {"name": "finished_at", "description": "The point in time when the survey response was finished.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_finished": {"name": "is_finished", "description": "Boolean (stored as int) indicating if the respondent finished and submitted the survey, the value will be 1, otherwise it will be 0.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ip_address": {"name": "ip_address", "description": "IP address of the recipient.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_latitude": {"name": "location_latitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_longitude": {"name": "location_longitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "progress": {"name": "progress", "description": "How far the respondent has progressed through the survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_email": {"name": "recipient_email", "description": "Email of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_first_name": {"name": "recipient_first_name", "description": "First name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_last_name": {"name": "recipient_last_name", "description": "Last name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recorded_date": {"name": "recorded_date", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "started_at": {"name": "started_at", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The type of response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_language": {"name": "user_language", "description": "The language of the respondent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.981975, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__survey_response_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__survey_response_tmp')),\n                staging_columns=get_survey_response_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        distribution_channel,\n        duration_in_seconds,\n        end_date as finished_at,\n        cast(finished as {{ dbt.type_boolean() }}) as is_finished,\n        id as response_id,\n        ip_address,\n        last_modified_date as last_modified_at,\n        location_latitude,\n        location_longitude,\n        progress,\n        lower(recipient_email) as recipient_email,\n        recipient_first_name,\n        recipient_last_name,\n        recorded_date,\n        start_date as started_at,\n        status,\n        survey_id,\n        user_language,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_response_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__survey_response_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_survey_response_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation", "macro.dbt.type_boolean"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_response_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__survey_response.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    distribution_channel\n    \n as \n    \n    distribution_channel\n    \n, \n    \n    \n    duration_in_seconds\n    \n as \n    \n    duration_in_seconds\n    \n, \n    \n    \n    end_date\n    \n as \n    \n    end_date\n    \n, \n    \n    \n    finished\n    \n as \n    \n    finished\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    ip_address\n    \n as \n    \n    ip_address\n    \n, \n    \n    \n    last_modified_date\n    \n as \n    \n    last_modified_date\n    \n, \n    \n    \n    location_latitude\n    \n as \n    \n    location_latitude\n    \n, \n    \n    \n    location_longitude\n    \n as \n    \n    location_longitude\n    \n, \n    \n    \n    progress\n    \n as \n    \n    progress\n    \n, \n    \n    \n    recipient_email\n    \n as \n    \n    recipient_email\n    \n, \n    \n    \n    recipient_first_name\n    \n as \n    \n    recipient_first_name\n    \n, \n    \n    \n    recipient_last_name\n    \n as \n    \n    recipient_last_name\n    \n, \n    \n    \n    recorded_date\n    \n as \n    \n    recorded_date\n    \n, \n    \n    \n    start_date\n    \n as \n    \n    start_date\n    \n, \n    \n    \n    status\n    \n as \n    \n    status\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    user_language\n    \n as \n    \n    user_language\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        distribution_channel,\n        duration_in_seconds,\n        end_date as finished_at,\n        cast(finished as boolean) as is_finished,\n        id as response_id,\n        ip_address,\n        last_modified_date as last_modified_at,\n        location_latitude,\n        location_longitude,\n        progress,\n        lower(recipient_email) as recipient_email,\n        recipient_first_name,\n        recipient_last_name,\n        recorded_date,\n        start_date as started_at,\n        status,\n        survey_id,\n        user_language,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__user": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__user", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__user.sql", "original_file_path": "models/stg_qualtrics__user.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__user", "fqn": ["qualtrics_source", "stg_qualtrics__user"], "alias": "stg_qualtrics__user", "checksum": {"name": "sha256", "checksum": "c9c65fd414094ad26ec2656131a61ae43c685ff064cf372e95d13d183f1e9dff"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "These are the users in your organizations, not the contacts for whom you are building content like surveys and messages.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_created_at": {"name": "account_created_at", "description": "The date and time that the account was created. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_expires_at": {"name": "account_expires_at", "description": "The date the account expires. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_status": {"name": "account_status", "description": "Either `active`, `disabled`, or `notVerified`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "division_id": {"name": "division_id", "description": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "The user's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "The user's first name or given name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_id": {"name": "user_id", "description": "Unique ID of the user. Match pattern  = ^((UR)|(URH))_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_login_at": {"name": "last_login_at", "description": "The date and time the user last logged into the user interface. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "User's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "organization_id": {"name": "organization_id", "description": "ID of the organization/brand this record belongs to.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "password_expires_at": {"name": "password_expires_at", "description": "The date the account password expires. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "password_last_changed_at": {"name": "password_last_changed_at", "description": "The date the account password was last changed. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_auditable": {"name": "response_count_auditable", "description": "The count of auditable responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_deleted": {"name": "response_count_deleted", "description": "The count of deleted responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_generated": {"name": "response_count_generated", "description": "The count of generated responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "time_zone": {"name": "time_zone", "description": "The IANA time zone setting for the user.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_unsubscribed": {"name": "is_unsubscribed", "description": "Boolean indicating if the user unsubscribed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_type": {"name": "user_type", "description": "ID of the user type. See mappings of user types to their type IDs [here](https://api.qualtrics.com/dc2be1c61af61-user-type).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "username": {"name": "username", "description": "UI-facing username for the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.976038, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__user_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__user_tmp')),\n                staging_columns=get_user_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        account_creation_date as account_created_at,\n        account_expiration_date as account_expires_at,\n        account_status,\n        division_id,\n        email,\n        first_name,\n        id as user_id,\n        language,\n        last_login_date as last_login_at,\n        last_name,\n        organization_id,\n        password_expiration_date as password_expires_at,\n        password_last_changed_date as password_last_changed_at,\n        response_count_auditable,\n        response_count_deleted,\n        response_count_generated,\n        time_zone,\n        unsubscribed as is_unsubscribed,\n        user_type,\n        username,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__user_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__user_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_user_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__user_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__user.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    account_creation_date\n    \n as \n    \n    account_creation_date\n    \n, \n    \n    \n    account_expiration_date\n    \n as \n    \n    account_expiration_date\n    \n, \n    \n    \n    account_status\n    \n as \n    \n    account_status\n    \n, \n    \n    \n    division_id\n    \n as \n    \n    division_id\n    \n, \n    \n    \n    email\n    \n as \n    \n    email\n    \n, \n    \n    \n    first_name\n    \n as \n    \n    first_name\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    language\n    \n as \n    \n    language\n    \n, \n    \n    \n    last_login_date\n    \n as \n    \n    last_login_date\n    \n, \n    \n    \n    last_name\n    \n as \n    \n    last_name\n    \n, \n    \n    \n    organization_id\n    \n as \n    \n    organization_id\n    \n, \n    \n    \n    password_expiration_date\n    \n as \n    \n    password_expiration_date\n    \n, \n    \n    \n    password_last_changed_date\n    \n as \n    \n    password_last_changed_date\n    \n, \n    \n    \n    response_count_auditable\n    \n as \n    \n    response_count_auditable\n    \n, \n    \n    \n    response_count_deleted\n    \n as \n    \n    response_count_deleted\n    \n, \n    \n    \n    response_count_generated\n    \n as \n    \n    response_count_generated\n    \n, \n    \n    \n    time_zone\n    \n as \n    \n    time_zone\n    \n, \n    \n    \n    unsubscribed\n    \n as \n    \n    unsubscribed\n    \n, \n    \n    \n    user_type\n    \n as \n    \n    user_type\n    \n, \n    \n    \n    username\n    \n as \n    \n    username\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        account_creation_date as account_created_at,\n        account_expiration_date as account_expires_at,\n        account_status,\n        division_id,\n        email,\n        first_name,\n        id as user_id,\n        language,\n        last_login_date as last_login_at,\n        last_name,\n        organization_id,\n        password_expiration_date as password_expires_at,\n        password_last_changed_date as password_last_changed_at,\n        response_count_auditable,\n        response_count_deleted,\n        response_count_generated,\n        time_zone,\n        unsubscribed as is_unsubscribed,\n        user_type,\n        username,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__core_mailing_list": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__core_mailing_list", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__core_mailing_list.sql", "original_file_path": "models/stg_qualtrics__core_mailing_list.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__core_mailing_list", "fqn": ["qualtrics_source", "stg_qualtrics__core_mailing_list"], "alias": "stg_qualtrics__core_mailing_list", "checksum": {"name": "sha256", "checksum": "c17c8dbc0801d75d8438170c71c21cba126d2dbb28fcf278d776b6b8cd2fbe81"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Research Core mailing list (non xm-directory).", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "library_id": {"name": "library_id", "description": "The library ID. Example: `UR_1234567890AbCdE`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "category": {"name": "category", "description": "The library ID. Example: `UR_1234567890AbCdE`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "folder": {"name": "folder", "description": "The folder this is placed in.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table", "enabled": true}, "created_at": 1703019362.991513, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`", "raw_code": "{{ config(enabled=var('qualtrics__using_core_mailing_lists', false)) }}\n\nwith base as (\n\n    select * \n    from {{ ref('stg_qualtrics__core_mailing_list_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__core_mailing_list_tmp')),\n                staging_columns=get_core_mailing_list_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as mailing_list_id,\n        library_id,\n        name,\n        category,\n        folder,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__core_mailing_list_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__core_mailing_list_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_core_mailing_list_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__core_mailing_list_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__core_mailing_list.sql", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    library_id\n    \n as \n    \n    library_id\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    category\n    \n as \n    \n    category\n    \n, \n    \n    \n    folder\n    \n as \n    \n    folder\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as mailing_list_id,\n        library_id,\n        name,\n        category,\n        folder,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__question": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__question", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__question.sql", "original_file_path": "models/stg_qualtrics__question.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question", "fqn": ["qualtrics_source", "stg_qualtrics__question"], "alias": "stg_qualtrics__question", "checksum": {"name": "sha256", "checksum": "ec8c895c4dbafa5d536bcc7713eb26f718794c2052787ed2284fa23cb25f72ee"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Questions within a survey.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "data_export_tag": {"name": "data_export_tag", "description": "The tag to identify the question in exported data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_data_hidden": {"name": "is_data_hidden", "description": "Boolean that represents whether the embedded data is hidden.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_data_private": {"name": "is_data_private", "description": "Boolean that represents whether the embedded data is private.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "next_answer_id": {"name": "next_answer_id", "description": "For Matrix questions, the vertical options are denoted as \"Answers\" in the question's structure. \nID of the next answer for this question. ?", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "next_choice_id": {"name": "next_choice_id", "description": "For Matrix questions, the horizontal options are denoted as \"Choices\" in the question's structure. \n\nID of the next choice for this question. ?", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_description": {"name": "question_description", "description": "Label to identify the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_description_option": {"name": "question_description_option", "description": "An optional user-provided field for question descriptions. Accepted values = `UseText`, `SpecifyLabel`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_text": {"name": "question_text", "description": "Text for the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_text_unsafe": {"name": "question_text_unsafe", "description": "Un-paresed version of the question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_type": {"name": "question_type", "description": "The type of question. Can be -\n`MC`,`Matrix`,`Captcha`,`CS`,`DB`,`DD`,`Draw`,`DynamicMatrix`,`FileUpload`,`GAP`,`HeatMap`,`HL`,`HotSpot`,`Meta`,`PGR`,`RO`,`SBS`,`Slider`,`SS`,`TE`,`Timing`,`TreeSelect`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "selector": {"name": "selector", "description": "How answers are selected such as single answer, multiple answer, etc. Accepted values - \n- `Bipolar`\n- `Browser`\n- `Captcha`\n- `CompactView`\n- `CS`\n- `D`\n- `DL`\n- `DND`\n- `DragAndDrop`\n- `ESTB`\n- `FORM`\n- `FileUpload`\n- `GRB`\n- `HBAR`\n- `HR`\n- `HSLIDER`\n- `I`\n- `Image`\n- `LikeDislike`\n- `Likert`\n- `MACOL`\n- `MAHR`\n- `MAVR`\n- `ML`\n- `MSB`\n- `MaxDiff`\n- `NPS`\n- `OH`\n- `OnOff`\n- `POS`\n- `PTB`\n- `PW`\n- `PageTimer`\n- `Profile`\n- `RB`\n- `RO`\n- `SACOL`\n- `SAHR`\n- `SAVR`\n- `SB`\n- `SBSMatrix`\n- `SL`\n- `STAR`\n- `ScreenCapture`\n- `SearchOnly`\n- `Signature`\n- `TA`\n- `TB`\n- `TBelow`\n- `TE`\n- `TL`\n- `TRight`\n- `Text`\n- `V1`\n- `V2`\n- `VR`\n- `VRTL`\n- `WTXB`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_selector": {"name": "sub_selector", "description": "How subquestion answers are selected. Allowed values - SingleAnswer, DL, GR, DND, Long, Medium, MultipleAnswer, Columns, NoColumns, Short, TX, TXOT, WOTXB, WOTB, WTB, WTXB, WVTB.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response": {"name": "validation_setting_force_response", "description": "The response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response_type": {"name": "validation_setting_force_response_type", "description": "The type of response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_type": {"name": "validation_setting_type", "description": "The type of forced response validation that is set.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.978801, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__question_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__question_tmp')),\n                staging_columns=get_question_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        data_export_tag,\n        data_visibility_hidden as is_data_hidden,\n        data_visibility_private as is_data_private,\n        id as question_id,\n        next_answer_id,\n        next_choice_id,\n        question_description,\n        question_description_option,\n        question_text,\n        question_text_unsafe,\n        question_type,\n        selector,\n        sub_selector,\n        survey_id,\n        validation_setting_force_response,\n        validation_setting_force_response_type,\n        validation_setting_type,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__question_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__question_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_question_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__question.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    data_export_tag\n    \n as \n    \n    data_export_tag\n    \n, \n    \n    \n    data_visibility_hidden\n    \n as \n    \n    data_visibility_hidden\n    \n, \n    \n    \n    data_visibility_private\n    \n as \n    \n    data_visibility_private\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    next_answer_id\n    \n as \n    \n    next_answer_id\n    \n, \n    \n    \n    next_choice_id\n    \n as \n    \n    next_choice_id\n    \n, \n    \n    \n    question_description\n    \n as \n    \n    question_description\n    \n, \n    \n    \n    question_description_option\n    \n as \n    \n    question_description_option\n    \n, \n    \n    \n    question_text\n    \n as \n    \n    question_text\n    \n, \n    \n    \n    question_text_unsafe\n    \n as \n    \n    question_text_unsafe\n    \n, \n    \n    \n    question_type\n    \n as \n    \n    question_type\n    \n, \n    \n    \n    selector\n    \n as \n    \n    selector\n    \n, \n    \n    \n    sub_selector\n    \n as \n    \n    sub_selector\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    validation_setting_force_response\n    \n as \n    \n    validation_setting_force_response\n    \n, \n    \n    \n    validation_setting_force_response_type\n    \n as \n    \n    validation_setting_force_response_type\n    \n, \n    \n    \n    validation_setting_type\n    \n as \n    \n    validation_setting_type\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        data_export_tag,\n        data_visibility_hidden as is_data_hidden,\n        data_visibility_private as is_data_private,\n        id as question_id,\n        next_answer_id,\n        next_choice_id,\n        question_description,\n        question_description_option,\n        question_text,\n        question_text_unsafe,\n        question_type,\n        selector,\n        sub_selector,\n        survey_id,\n        validation_setting_force_response,\n        validation_setting_force_response_type,\n        validation_setting_type,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__sub_question": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__sub_question", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__sub_question.sql", "original_file_path": "models/stg_qualtrics__sub_question.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__sub_question", "fqn": ["qualtrics_source", "stg_qualtrics__sub_question"], "alias": "stg_qualtrics__sub_question", "checksum": {"name": "sha256", "checksum": "7b5cd7b6b1d8254e2ef3ff2225d359996599511285af6ab50757b06655f39164"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Sub-questions of questions.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "choice_data_export_tag": {"name": "choice_data_export_tag", "description": "The tag to identify the question choice in exported data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "Key of the sub question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "text": {"name": "text", "description": "Sub question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.982579, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__sub_question_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__sub_question_tmp')),\n                staging_columns=get_sub_question_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        choice_data_export_tag,\n        key,\n        question_id,\n        survey_id,\n        text,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__sub_question_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__sub_question_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_sub_question_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__sub_question_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__sub_question.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    choice_data_export_tag\n    \n as \n    \n    choice_data_export_tag\n    \n, \n    \n    \n    key\n    \n as \n    \n    key\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    text\n    \n as \n    \n    text\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        choice_data_export_tag,\n        key,\n        question_id,\n        survey_id,\n        text,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__survey_version": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__survey_version", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__survey_version.sql", "original_file_path": "models/stg_qualtrics__survey_version.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_version", "fqn": ["qualtrics_source", "stg_qualtrics__survey_version"], "alias": "stg_qualtrics__survey_version", "checksum": {"name": "sha256", "checksum": "a3a54dc6ed9c6add80097add9e71e1ecefece5245116d51518c94546864b39a0"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Published and un-published versions of surveys.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_description": {"name": "version_description", "description": "A user-provided description of the survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_id": {"name": "version_id", "description": "The unique identifier for this survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_published": {"name": "is_published", "description": "Boolean that, when true, publishes the version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "publisher_user_id": {"name": "publisher_user_id", "description": "ID of `USER` who published this survey version in your org.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_number": {"name": "version_number", "description": "The version number of this survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "was_published": {"name": "was_published", "description": "Boolean that is true if the survey version was published.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.983319, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__survey_version_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__survey_version_tmp')),\n                staging_columns=get_survey_version_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        description as version_description,\n        id as version_id,\n        published as is_published,\n        survey_id,\n        user_id as publisher_user_id,\n        version_number,\n        was_published,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_version_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__survey_version_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_survey_version_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_version_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__survey_version.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    creation_date\n    \n as \n    \n    creation_date\n    \n, \n    \n    \n    description\n    \n as \n    \n    description\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    published\n    \n as \n    \n    published\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    user_id\n    \n as \n    \n    user_id\n    \n, \n    \n    \n    version_number\n    \n as \n    \n    version_number\n    \n, \n    \n    \n    was_published\n    \n as \n    \n    was_published\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        description as version_description,\n        id as version_id,\n        published as is_published,\n        survey_id,\n        user_id as publisher_user_id,\n        version_number,\n        was_published,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__directory_mailing_list": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__directory_mailing_list", "resource_type": "model", "package_name": "qualtrics_source", "path": "stg_qualtrics__directory_mailing_list.sql", "original_file_path": "models/stg_qualtrics__directory_mailing_list.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory_mailing_list", "fqn": ["qualtrics_source", "stg_qualtrics__directory_mailing_list"], "alias": "stg_qualtrics__directory_mailing_list", "checksum": {"name": "sha256", "checksum": "fec96d36f7c44669c45e200213247401f8426f3b625f96cdf2119ebb077f3eb3"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "table", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "Mailing lists are lists of contacts that can receive emails and survey invitations. You can create mailing lists either through file upload or manually.", "columns": {"is_deleted": {"name": "is_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_at": {"name": "created_at", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_at": {"name": "last_modified_at", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_user_id": {"name": "owner_user_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "source_relation": {"name": "source_relation", "description": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": "qualtrics_source://models/stg_qualtrics.yml", "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "table"}, "created_at": 1703019362.98955, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`", "raw_code": "with base as (\n\n    select * \n    from {{ ref('stg_qualtrics__directory_mailing_list_tmp') }}\n),\n\nfields as (\n\n    select\n        {{\n            fivetran_utils.fill_staging_columns(\n                source_columns=adapter.get_columns_in_relation(ref('stg_qualtrics__directory_mailing_list_tmp')),\n                staging_columns=get_directory_mailing_list_columns()\n            )\n        }}\n\n        {{ fivetran_utils.source_relation(\n            union_schema_variable='qualtrics_union_schemas', \n            union_database_variable='qualtrics_union_databases') \n        }}\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        directory_id,\n        id as mailing_list_id,\n        last_modified_date as last_modified_at,\n        name,\n        owner_id as owner_user_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_mailing_list_tmp", "package": null, "version": null}, {"name": "stg_qualtrics__directory_mailing_list_tmp", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.qualtrics_source.get_directory_mailing_list_columns", "macro.fivetran_utils.fill_staging_columns", "macro.fivetran_utils.source_relation"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_mailing_list_tmp"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics__directory_mailing_list.sql", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    creation_date\n    \n as \n    \n    creation_date\n    \n, \n    \n    \n    directory_id\n    \n as \n    \n    directory_id\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    last_modified_date\n    \n as \n    \n    last_modified_date\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        directory_id,\n        id as mailing_list_id,\n        last_modified_date as last_modified_at,\n        name,\n        owner_id as owner_user_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__directory_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__directory_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__directory_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__directory_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__directory_tmp"], "alias": "stg_qualtrics__directory_tmp", "checksum": {"name": "sha256", "checksum": "4b3ca7ae5e5b4cf6204f4dafaf2218823498901d5d2354deaaf33b77f72e8ef1"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.61021, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='directory', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='directory',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "directory"], ["qualtrics", "directory"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.directory"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__directory_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`directory`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__question_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__question_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__question_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__question_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__question_tmp"], "alias": "stg_qualtrics__question_tmp", "checksum": {"name": "sha256", "checksum": "ed11295b4e9d0a28951ddf5a65d957af91c50eef5fc16b8f9f635effb3459fa7"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.63116, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='question', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='question',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "question"], ["qualtrics", "question"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.question"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__question_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`question`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__question_option_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__question_option_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__question_option_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__question_option_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question_option_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__question_option_tmp"], "alias": "stg_qualtrics__question_option_tmp", "checksum": {"name": "sha256", "checksum": "c61331fb87b4a42e950006a3c7ff7b2e5e138de5f8f572e6bb1af3899160e97b"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.635844, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_option_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='question_option', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='question_option',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "question_option"], ["qualtrics", "question_option"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.question_option"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__question_option_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`question_option`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__distribution_contact_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__distribution_contact_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__distribution_contact_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__distribution_contact_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__distribution_contact_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__distribution_contact_tmp"], "alias": "stg_qualtrics__distribution_contact_tmp", "checksum": {"name": "sha256", "checksum": "7b4914cb30b388e7eb0fdc4e0c3314306dd19c8103f0fa51250e462f368653c5"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.640637, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='distribution_contact', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='distribution_contact',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "distribution_contact"], ["qualtrics", "distribution_contact"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.distribution_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__distribution_contact_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`distribution_contact`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__core_mailing_list_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__core_mailing_list_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__core_mailing_list_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__core_mailing_list_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__core_mailing_list_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__core_mailing_list_tmp"], "alias": "stg_qualtrics__core_mailing_list_tmp", "checksum": {"name": "sha256", "checksum": "c8175db977b8eedb2f1ce4e55eacaf9b402b5866227dff4943d4e69f666f57c9"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view", "enabled": true}, "created_at": 1703019362.645536, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list_tmp`", "raw_code": "{{ config(enabled=var('qualtrics__using_core_mailing_lists', false)) }}\n-- can disable\n{{\n    fivetran_utils.union_data(\n        table_identifier='core_mailing_list', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='core_mailing_list',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "core_mailing_list"], ["qualtrics", "core_mailing_list"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.core_mailing_list"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__core_mailing_list_tmp.sql", "compiled": true, "compiled_code": "\n-- can disable\n\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`core_mailing_list`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__survey_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__survey_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__survey_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__survey_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__survey_tmp"], "alias": "stg_qualtrics__survey_tmp", "checksum": {"name": "sha256", "checksum": "12ed41a2542f0bb532da7e4b1c3f286208d64e8c03b844dd8fd988aba3bc00cb"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.6505861, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='survey', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='survey',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "survey"], ["qualtrics", "survey"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.survey"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__survey_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`survey`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__contact_mailing_list_membership_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__contact_mailing_list_membership_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__contact_mailing_list_membership_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__contact_mailing_list_membership_tmp"], "alias": "stg_qualtrics__contact_mailing_list_membership_tmp", "checksum": {"name": "sha256", "checksum": "a464f668cf8d5bc468086e33aedf9b3b3acf48d3aa1464665853720f10c615f4"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.6545448, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='contact_mailing_list_membership', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='contact_mailing_list_membership',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "contact_mailing_list_membership"], ["qualtrics", "contact_mailing_list_membership"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.contact_mailing_list_membership"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__contact_mailing_list_membership_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`contact_mailing_list_membership`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__distribution_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__distribution_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__distribution_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__distribution_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__distribution_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__distribution_tmp"], "alias": "stg_qualtrics__distribution_tmp", "checksum": {"name": "sha256", "checksum": "7166ec5e6cf825ee9daa5783aa236f30a294cd79d614420a921b8fe59c8530b9"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.658881, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='distribution', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='distribution',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "distribution"], ["qualtrics", "distribution"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.distribution"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__distribution_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`distribution`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__block_question_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__block_question_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__block_question_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__block_question_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__block_question_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__block_question_tmp"], "alias": "stg_qualtrics__block_question_tmp", "checksum": {"name": "sha256", "checksum": "0b9b7b5c2613f28eeef8c4a2825f977b966a129f8d295bac6d5e374aac6d79b5"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.663703, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='block_question', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='block_question',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "block_question"], ["qualtrics", "block_question"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.block_question"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__block_question_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`block_question`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__survey_response_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__survey_response_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__survey_response_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__survey_response_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_response_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__survey_response_tmp"], "alias": "stg_qualtrics__survey_response_tmp", "checksum": {"name": "sha256", "checksum": "f047d640e7020023f2214578322056d33cebc53a7bee067b398e2195d83d37b4"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.667955, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='survey_response', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='survey_response',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "survey_response"], ["qualtrics", "survey_response"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.survey_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__survey_response_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`survey_response`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__directory_mailing_list_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__directory_mailing_list_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__directory_mailing_list_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__directory_mailing_list_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory_mailing_list_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__directory_mailing_list_tmp"], "alias": "stg_qualtrics__directory_mailing_list_tmp", "checksum": {"name": "sha256", "checksum": "88534ae79c01bf33fa6890ad5e720be4406faab978c6c3a5c3e3205973786c01"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.67294, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='directory_mailing_list', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='directory_mailing_list',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "directory_mailing_list"], ["qualtrics", "directory_mailing_list"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.directory_mailing_list"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__directory_mailing_list_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`directory_mailing_list`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__directory_contact_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__directory_contact_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__directory_contact_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__directory_contact_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__directory_contact_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__directory_contact_tmp"], "alias": "stg_qualtrics__directory_contact_tmp", "checksum": {"name": "sha256", "checksum": "cd03fb1bde2bfd3e28707465eba10e23984e73cd9d5035e899e1c5e56a98f54b"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.6769412, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='directory_contact', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='directory_contact',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "directory_contact"], ["qualtrics", "directory_contact"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.directory_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__directory_contact_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`directory_contact`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__block_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__block_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__block_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__block_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__block_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__block_tmp"], "alias": "stg_qualtrics__block_tmp", "checksum": {"name": "sha256", "checksum": "b4300ff80d5e8628a57e45a6ac0febcecf9ac198880b8296064aede3fbb5456c"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.6815948, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='block', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='block',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "block"], ["qualtrics", "block"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.block"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__block_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`block`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__survey_embedded_data_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__survey_embedded_data_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__survey_embedded_data_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__survey_embedded_data_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_embedded_data_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__survey_embedded_data_tmp"], "alias": "stg_qualtrics__survey_embedded_data_tmp", "checksum": {"name": "sha256", "checksum": "b1007ac04a063897a03a96e7648d588d1ec0034d4f1ae0cbcc6c206bff6db3b0"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.686269, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='survey_embedded_data', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='survey_embedded_data',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "survey_embedded_data"], ["qualtrics", "survey_embedded_data"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.survey_embedded_data"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__survey_embedded_data_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`survey_embedded_data`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__user_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__user_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__user_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__user_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__user_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__user_tmp"], "alias": "stg_qualtrics__user_tmp", "checksum": {"name": "sha256", "checksum": "1520d2da463067fc5857960e55a02f71a05318d4491f70cca4a6e35d86418b73"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.690494, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='user', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='user',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "user"], ["qualtrics", "user"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.user"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__user_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`user`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__question_response_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__question_response_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__question_response_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__question_response_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__question_response_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__question_response_tmp"], "alias": "stg_qualtrics__question_response_tmp", "checksum": {"name": "sha256", "checksum": "4c4e65873dc78879bf922bdb9d12a38f92731ad219328e9100f92e93acd9270c"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.6952808, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='question_response', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='question_response',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "question_response"], ["qualtrics", "question_response"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.question_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__question_response_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`question_response`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__core_contact_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__core_contact_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__core_contact_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__core_contact_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__core_contact_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__core_contact_tmp"], "alias": "stg_qualtrics__core_contact_tmp", "checksum": {"name": "sha256", "checksum": "de453d9f869d610f5e3c6b138cf9d1540b26b120ccff6e3d85386c5515eefd91"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view", "enabled": true}, "created_at": 1703019362.699451, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact_tmp`", "raw_code": "{{ config(enabled=var('qualtrics__using_core_contacts', false)) }}\n-- can disable \n{{\n    fivetran_utils.union_data(\n        table_identifier='core_contact', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='core_contact',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "core_contact"], ["qualtrics", "core_contact"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.core_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__core_contact_tmp.sql", "compiled": true, "compiled_code": "\n-- can disable \n\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`core_contact`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__survey_version_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__survey_version_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__survey_version_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__survey_version_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__survey_version_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__survey_version_tmp"], "alias": "stg_qualtrics__survey_version_tmp", "checksum": {"name": "sha256", "checksum": "7de6955c25cf9112b7f4812bc1ee82a99adb7bd0596a503a8c3418d99be7b0fc"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.704034, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='survey_version', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='survey_version',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "survey_version"], ["qualtrics", "survey_version"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.survey_version"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__survey_version_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`survey_version`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "model.qualtrics_source.stg_qualtrics__sub_question_tmp": {"database": "dbt-package-testing", "schema": "qualtrics_tests_qualtrics_source", "name": "stg_qualtrics__sub_question_tmp", "resource_type": "model", "package_name": "qualtrics_source", "path": "tmp/stg_qualtrics__sub_question_tmp.sql", "original_file_path": "models/tmp/stg_qualtrics__sub_question_tmp.sql", "unique_id": "model.qualtrics_source.stg_qualtrics__sub_question_tmp", "fqn": ["qualtrics_source", "tmp", "stg_qualtrics__sub_question_tmp"], "alias": "stg_qualtrics__sub_question_tmp", "checksum": {"name": "sha256", "checksum": "e1c78c3bfc4b8edd62ca16fd5a3f88e9a9eb6dccaf68c1fd07cbea82f7608895"}, "config": {"enabled": true, "alias": null, "schema": "qualtrics_source", "database": null, "tags": ["qualtrics", "fivetran_package", "staging"], "meta": {}, "group": null, "materialized": "view", "incremental_strategy": null, "persist_docs": {}, "post-hook": [], "pre-hook": [], "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "on_configuration_change": "apply", "grants": {}, "packages": [], "docs": {"show": true, "node_color": null}, "contract": {"enforced": false, "alias_types": true}, "access": "protected"}, "tags": ["qualtrics", "fivetran_package", "staging"], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"tags": ["qualtrics", "fivetran_package", "staging"], "schema": "qualtrics_source", "materialized": "view"}, "created_at": 1703019362.7081778, "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question_tmp`", "raw_code": "{{\n    fivetran_utils.union_data(\n        table_identifier='sub_question', \n        database_variable='qualtrics_database', \n        schema_variable='qualtrics_schema', \n        default_database=target.database,\n        default_schema='qualtrics',\n        default_variable='sub_question',\n        union_schema_variable='qualtrics_union_schemas',\n        union_database_variable='qualtrics_union_databases'\n    )\n}}", "language": "sql", "refs": [], "sources": [["qualtrics", "sub_question"], ["qualtrics", "sub_question"]], "metrics": [], "depends_on": {"macros": ["macro.fivetran_utils.union_data"], "nodes": ["source.qualtrics_source.qualtrics.sub_question"]}, "compiled_path": "target/compiled/qualtrics_source/models/tmp/stg_qualtrics__sub_question_tmp.sql", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`sub_question`", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "access": "protected", "constraints": [], "version": null, "latest_version": null, "deprecation_date": null}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__survey_source_relation__survey_id.c9eda9bf51": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "survey_id"], "model": "{{ get_where_subquery(ref('qualtrics__survey')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__survey_source_relation__survey_id", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__survey_source_relation__survey_id.c9eda9bf51", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__survey_source_relation__survey_id"], "alias": "dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2"}, "created_at": 1703019362.943573, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2\") }}", "language": "sql", "refs": [{"name": "qualtrics__survey", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__survey"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_0f62df37a0a57ca8903252ffcfa263a2.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, survey_id\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__survey`\n    group by source_relation, survey_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__survey", "attached_node": "model.qualtrics.qualtrics__survey"}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__contact_source_relation__directory_id__contact_id.b3bb833816": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "directory_id", "contact_id"], "model": "{{ get_where_subquery(ref('qualtrics__contact')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__contact_source_relation__directory_id__contact_id", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__contact_source_relation__directory_id__contact_id.b3bb833816", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__contact_source_relation__directory_id__contact_id"], "alias": "dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e"}, "created_at": 1703019362.951355, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e\") }}", "language": "sql", "refs": [{"name": "qualtrics__contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__contact"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_e39102d4a500ffbec00c5e9efa77880e.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, directory_id, contact_id\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__contact`\n    group by source_relation, directory_id, contact_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__contact", "attached_node": "model.qualtrics.qualtrics__contact"}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__directory_source_relation__directory_id.21547652b0": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "directory_id"], "model": "{{ get_where_subquery(ref('qualtrics__directory')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__directory_source_relation__directory_id", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__directory_source_relation__directory_id.21547652b0", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__directory_source_relation__directory_id"], "alias": "dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810"}, "created_at": 1703019362.95399, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810\") }}", "language": "sql", "refs": [{"name": "qualtrics__directory", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__directory"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_37919b33cc4c0502c3b24861584b2810.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, directory_id\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__directory`\n    group by source_relation, directory_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__directory", "attached_node": "model.qualtrics.qualtrics__directory"}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__distribution_source_relation__distribution_id.e7ba527eec": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "distribution_id"], "model": "{{ get_where_subquery(ref('qualtrics__distribution')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__distribution_source_relation__distribution_id", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__distribution_source_relation__distribution_id.e7ba527eec", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__distribution_source_relation__distribution_id"], "alias": "dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612"}, "created_at": 1703019362.957195, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612\") }}", "language": "sql", "refs": [{"name": "qualtrics__distribution", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__distribution"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_f32a5d49a3901da759b7e9a468b30612.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, distribution_id\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__distribution`\n    group by source_relation, distribution_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__distribution", "attached_node": "model.qualtrics.qualtrics__distribution"}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__daily_breakdown_date_day__source_relation.dbc8565bca": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["date_day", "source_relation"], "model": "{{ get_where_subquery(ref('qualtrics__daily_breakdown')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__daily_breakdown_date_day__source_relation", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__daily_breakdown_date_day__source_relation.dbc8565bca", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__daily_breakdown_date_day__source_relation"], "alias": "dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f"}, "created_at": 1703019362.959842, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f\") }}", "language": "sql", "refs": [{"name": "qualtrics__daily_breakdown", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__daily_breakdown"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_e27e78f245b190ea2b4d2fc211de704f.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        date_day, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__daily_breakdown`\n    group by date_day, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__daily_breakdown", "attached_node": "model.qualtrics.qualtrics__daily_breakdown"}, "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__response_source_relation__survey_response_id__question_response_id__sub_question_key.af535210ca": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["source_relation", "survey_response_id", "question_response_id", "sub_question_key"], "model": "{{ get_where_subquery(ref('qualtrics__response')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_qualtrics__response_source_relation__survey_response_id__question_response_id__sub_question_key", "resource_type": "test", "package_name": "qualtrics", "path": "dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d.sql", "original_file_path": "models/qualtrics.yml", "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__response_source_relation__survey_response_id__question_response_id__sub_question_key.af535210ca", "fqn": ["qualtrics", "dbt_utils_unique_combination_of_columns_qualtrics__response_source_relation__survey_response_id__question_response_id__sub_question_key"], "alias": "dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d"}, "created_at": 1703019362.9624891, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d\") }}", "language": "sql", "refs": [{"name": "qualtrics__response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics.qualtrics__response"]}, "compiled_path": "target/compiled/qualtrics/models/qualtrics.yml/dbt_utils_unique_combination_o_ddc81e25c83951f5bd91b10e5c2adf6d.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, survey_response_id, question_response_id, sub_question_key\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__response`\n    group by source_relation, survey_response_id, question_response_id, sub_question_key\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.qualtrics__response", "attached_node": "model.qualtrics.qualtrics__response"}, "test.qualtrics_source.not_null_stg_qualtrics__user_user_id.816e912ff9": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "user_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__user')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__user_user_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__user_user_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__user_user_id.816e912ff9", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__user_user_id"], "alias": "not_null_stg_qualtrics__user_user_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1703019362.99199, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__user", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__user"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__user_user_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect user_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`\nwhere user_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": "user_id", "file_key_name": "models.stg_qualtrics__user", "attached_node": "model.qualtrics_source.stg_qualtrics__user"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__user_user_id__source_relation.73c4de157d": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["user_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__user')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__user_user_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__user_user_id__source_relation.73c4de157d", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__user_user_id__source_relation"], "alias": "dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67"}, "created_at": 1703019362.993195, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__user", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__user"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_18f05248a708f9c9e991884ca8029d67.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        user_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`\n    group by user_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__user", "attached_node": "model.qualtrics_source.stg_qualtrics__user"}, "test.qualtrics_source.not_null_stg_qualtrics__survey_survey_id.2796651e04": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "survey_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__survey')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__survey_survey_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__survey_survey_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__survey_survey_id.2796651e04", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__survey_survey_id"], "alias": "not_null_stg_qualtrics__survey_survey_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1703019362.996119, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__survey_survey_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect survey_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`\nwhere survey_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": "survey_id", "file_key_name": "models.stg_qualtrics__survey", "attached_node": "model.qualtrics_source.stg_qualtrics__survey"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_survey_id__source_relation.a1fd5a2968": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["survey_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__survey')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_survey_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_survey_id__source_relation.a1fd5a2968", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_survey_id__source_relation"], "alias": "dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b"}, "created_at": 1703019362.9972649, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_c19e664fe90b5b53e739e6d011feb36b.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`\n    group by survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__survey", "attached_node": "model.qualtrics_source.stg_qualtrics__survey"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_question_id__survey_id__source_relation.1e5f78924a": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["question_id", "survey_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__question')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_question_id__survey_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_question_id__survey_id__source_relation.1e5f78924a", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_question_id__survey_id__source_relation"], "alias": "dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a"}, "created_at": 1703019362.999894, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__question", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__question"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_55aafd880719613c53b000b2b858904a.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        question_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question`\n    group by question_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__question", "attached_node": "model.qualtrics_source.stg_qualtrics__question"}, "test.qualtrics_source.not_null_stg_qualtrics__question_response__fivetran_id.6e47cc53d7": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "_fivetran_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__question_response')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__question_response__fivetran_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__question_response__fivetran_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__question_response__fivetran_id.6e47cc53d7", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__question_response__fivetran_id"], "alias": "not_null_stg_qualtrics__question_response__fivetran_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1703019363.002493, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__question_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__question_response__fivetran_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect _fivetran_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response`\nwhere _fivetran_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": "_fivetran_id", "file_key_name": "models.stg_qualtrics__question_response", "attached_node": "model.qualtrics_source.stg_qualtrics__question_response"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_response__fivetran_id__source_relation.2e0556a912": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["_fivetran_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__question_response')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_response__fivetran_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_response__fivetran_id__source_relation.2e0556a912", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_response__fivetran_id__source_relation"], "alias": "dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa"}, "created_at": 1703019363.0036118, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__question_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_ec387233df4eeec30e9bfb035d5442aa.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        _fivetran_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response`\n    group by _fivetran_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__question_response", "attached_node": "model.qualtrics_source.stg_qualtrics__question_response"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_option_question_id__survey_id__key__source_relation.af5af3057f": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["question_id", "survey_id", "key", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__question_option')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_option_question_id__survey_id__key__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_option_question_id__survey_id__key__source_relation.af5af3057f", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__question_option_question_id__survey_id__key__source_relation"], "alias": "dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad"}, "created_at": 1703019363.006241, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__question_option", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__question_option"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_da96316b5057751c21638414780b06ad.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        question_id, survey_id, key, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_option`\n    group by question_id, survey_id, key, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__question_option", "attached_node": "model.qualtrics_source.stg_qualtrics__question_option"}, "test.qualtrics_source.not_null_stg_qualtrics__survey_response_response_id.864d3a83e3": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "response_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__survey_response')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__survey_response_response_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__survey_response_response_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__survey_response_response_id.864d3a83e3", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__survey_response_response_id"], "alias": "not_null_stg_qualtrics__survey_response_response_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1703019363.0087109, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__survey_response_response_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect response_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\nwhere response_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": "response_id", "file_key_name": "models.stg_qualtrics__survey_response", "attached_node": "model.qualtrics_source.stg_qualtrics__survey_response"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_response_response_id__source_relation.c97ddff72b": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["response_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__survey_response')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_response_response_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_response_response_id__source_relation.c97ddff72b", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_response_response_id__source_relation"], "alias": "dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2"}, "created_at": 1703019363.009822, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_response", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_response"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_4b6d65a8c633cf1cbbf90221fda685c2.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        response_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n    group by response_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__survey_response", "attached_node": "model.qualtrics_source.stg_qualtrics__survey_response"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__sub_question_question_id__survey_id__key__source_relation.12c68e2ef2": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["question_id", "survey_id", "key", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__sub_question')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__sub_question_question_id__survey_id__key__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__sub_question_question_id__survey_id__key__source_relation.12c68e2ef2", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__sub_question_question_id__survey_id__key__source_relation"], "alias": "dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd"}, "created_at": 1703019363.012576, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__sub_question", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__sub_question"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_2b9662452e1b0c5e6c3c69d1c14821fd.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        question_id, survey_id, key, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question`\n    group by question_id, survey_id, key, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__sub_question", "attached_node": "model.qualtrics_source.stg_qualtrics__sub_question"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_version_version_id__survey_id__source_relation.513ef528c1": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["version_id", "survey_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__survey_version')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_version_version_id__survey_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_version_version_id__survey_id__source_relation.513ef528c1", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_version_version_id__survey_id__source_relation"], "alias": "dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4"}, "created_at": 1703019363.015519, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_version", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_version"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_b063fac05c003d55d85510f91bdee2a4.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        version_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version`\n    group by version_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__survey_version", "attached_node": "model.qualtrics_source.stg_qualtrics__survey_version"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_embedded_data_import_id__response_id__key__value__source_relation.73ba345920": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["import_id", "response_id", "key", "value", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__survey_embedded_data')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_embedded_data_import_id__response_id__key__value__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_embedded_data_import_id__response_id__key__value__source_relation.73ba345920", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_embedded_data_import_id__response_id__key__value__source_relation"], "alias": "dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7"}, "created_at": 1703019363.018635, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__survey_embedded_data", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__survey_embedded_data"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_1c22b6d3b0634406466210bcaa3920a7.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        import_id, response_id, key, value, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`\n    group by import_id, response_id, key, value, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__survey_embedded_data", "attached_node": "model.qualtrics_source.stg_qualtrics__survey_embedded_data"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__block_block_id__survey_id__source_relation.9105cad472": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["block_id", "survey_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__block')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__block_block_id__survey_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__block_block_id__survey_id__source_relation.9105cad472", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__block_block_id__survey_id__source_relation"], "alias": "dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75"}, "created_at": 1703019363.02127, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__block", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__block"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_ed191aee3da2fff9f522af5cd2bcfb75.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        block_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block`\n    group by block_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__block", "attached_node": "model.qualtrics_source.stg_qualtrics__block"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__block_question_block_id__question_id__survey_id__source_relation.2fd7c420b5": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["block_id", "question_id", "survey_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__block_question')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__block_question_block_id__question_id__survey_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__block_question_block_id__question_id__survey_id__source_relation.2fd7c420b5", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__block_question_block_id__question_id__survey_id__source_relation"], "alias": "dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d"}, "created_at": 1703019363.0238998, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__block_question", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__block_question"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_b9e7103461a1f607bb783c24bb35691d.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        block_id, question_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question`\n    group by block_id, question_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__block_question", "attached_node": "model.qualtrics_source.stg_qualtrics__block_question"}, "test.qualtrics_source.not_null_stg_qualtrics__directory_directory_id.65413cdcf7": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "directory_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__directory')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__directory_directory_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__directory_directory_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__directory_directory_id.65413cdcf7", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__directory_directory_id"], "alias": "not_null_stg_qualtrics__directory_directory_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1703019363.026748, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__directory", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__directory_directory_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect directory_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory`\nwhere directory_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": "directory_id", "file_key_name": "models.stg_qualtrics__directory", "attached_node": "model.qualtrics_source.stg_qualtrics__directory"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_directory_id__source_relation.9c637ae3e0": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["directory_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__directory')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_directory_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_directory_id__source_relation.9c637ae3e0", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_directory_id__source_relation"], "alias": "dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553"}, "created_at": 1703019363.027928, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__directory", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_2dc64be73e308f190fac02f2b18f6553.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        directory_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory`\n    group by directory_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__directory", "attached_node": "model.qualtrics_source.stg_qualtrics__directory"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_contact_contact_id__directory_id__source_relation.a3dc488ebf": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["contact_id", "directory_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__directory_contact')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_contact_contact_id__directory_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_contact_contact_id__directory_id__source_relation.a3dc488ebf", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_contact_contact_id__directory_id__source_relation"], "alias": "dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d"}, "created_at": 1703019363.030736, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_0685be386dbfe1d71c0859e65260182d.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_id, directory_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n    group by contact_id, directory_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__directory_contact", "attached_node": "model.qualtrics_source.stg_qualtrics__directory_contact"}, "test.qualtrics_source.not_null_stg_qualtrics__distribution_distribution_id.6158e414ed": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "distribution_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__distribution')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__distribution_distribution_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__distribution_distribution_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__distribution_distribution_id.6158e414ed", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__distribution_distribution_id"], "alias": "not_null_stg_qualtrics__distribution_distribution_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1703019363.0332952, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__distribution_distribution_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect distribution_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`\nwhere distribution_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": "distribution_id", "file_key_name": "models.stg_qualtrics__distribution", "attached_node": "model.qualtrics_source.stg_qualtrics__distribution"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_distribution_id__source_relation.312f709e9c": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["distribution_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__distribution')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_distribution_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_distribution_id__source_relation.312f709e9c", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_distribution_id__source_relation"], "alias": "dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3"}, "created_at": 1703019363.034573, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_247e975283f2ebcabafde5f25bd3b2f3.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        distribution_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`\n    group by distribution_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__distribution", "attached_node": "model.qualtrics_source.stg_qualtrics__distribution"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_contact_contact_id__distribution_id__source_relation.b40826e6b2": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["contact_id", "distribution_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__distribution_contact')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_contact_contact_id__distribution_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_contact_contact_id__distribution_id__source_relation.b40826e6b2", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_contact_contact_id__distribution_id__source_relation"], "alias": "dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771"}, "created_at": 1703019363.0370932, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__distribution_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__distribution_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_c192fcc0522c3acc88dfab811ca69771.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_id, distribution_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n    group by contact_id, distribution_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__distribution_contact", "attached_node": "model.qualtrics_source.stg_qualtrics__distribution_contact"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_mailing_list_mailing_list_id__directory_id__source_relation.24870adb73": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["mailing_list_id", "directory_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__directory_mailing_list')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_mailing_list_mailing_list_id__directory_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_mailing_list_mailing_list_id__directory_id__source_relation.24870adb73", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_mailing_list_mailing_list_id__directory_id__source_relation"], "alias": "dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a"}, "created_at": 1703019363.0397189, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__directory_mailing_list", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__directory_mailing_list"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_7dbdbf3266311e47107b5e24034a004a.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        mailing_list_id, directory_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`\n    group by mailing_list_id, directory_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__directory_mailing_list", "attached_node": "model.qualtrics_source.stg_qualtrics__directory_mailing_list"}, "test.qualtrics_source.not_null_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id.32d4d7bbf5": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "contact_lookup_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__contact_mailing_list_membership')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id.32d4d7bbf5", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id"], "alias": "not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d"}, "created_at": 1703019363.042698, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}{{ config(alias=\"not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__contact_mailing_list_membership", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__contac_a9458d3b5d31ec47b1abf1449a7dba6d.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect contact_lookup_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\nwhere contact_lookup_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": "contact_lookup_id", "file_key_name": "models.stg_qualtrics__contact_mailing_list_membership", "attached_node": "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id__source_relation.943f4b419c": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["contact_lookup_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__contact_mailing_list_membership')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id__source_relation.943f4b419c", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id__source_relation"], "alias": "dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46"}, "created_at": 1703019363.0438678, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__contact_mailing_list_membership", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_9779d48b4d15e44188b16350e2066a46.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_lookup_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n    group by contact_lookup_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__contact_mailing_list_membership", "attached_node": "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__core_contact_contact_id__mailing_list_id__source_relation.fbdaf339c9": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["contact_id", "mailing_list_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__core_contact')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__core_contact_contact_id__mailing_list_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__core_contact_contact_id__mailing_list_id__source_relation.fbdaf339c9", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__core_contact_contact_id__mailing_list_id__source_relation"], "alias": "dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19"}, "created_at": 1703019363.046582, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__core_contact", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__core_contact"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_3af604bc040871fef099045a6640cb19.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_id, mailing_list_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n    group by contact_id, mailing_list_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__core_contact", "attached_node": "model.qualtrics_source.stg_qualtrics__core_contact"}, "test.qualtrics_source.not_null_stg_qualtrics__core_mailing_list_mailing_list_id.344fbdd6dc": {"test_metadata": {"name": "not_null", "kwargs": {"column_name": "mailing_list_id", "model": "{{ get_where_subquery(ref('stg_qualtrics__core_mailing_list')) }}"}, "namespace": null}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "not_null_stg_qualtrics__core_mailing_list_mailing_list_id", "resource_type": "test", "package_name": "qualtrics_source", "path": "not_null_stg_qualtrics__core_mailing_list_mailing_list_id.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__core_mailing_list_mailing_list_id.344fbdd6dc", "fqn": ["qualtrics_source", "not_null_stg_qualtrics__core_mailing_list_mailing_list_id"], "alias": "not_null_stg_qualtrics__core_mailing_list_mailing_list_id", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1703019363.0490859, "relation_name": null, "raw_code": "{{ test_not_null(**_dbt_generic_test_kwargs) }}", "language": "sql", "refs": [{"name": "stg_qualtrics__core_mailing_list", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__core_mailing_list"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/not_null_stg_qualtrics__core_mailing_list_mailing_list_id.sql", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect mailing_list_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`\nwhere mailing_list_id is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": "mailing_list_id", "file_key_name": "models.stg_qualtrics__core_mailing_list", "attached_node": "model.qualtrics_source.stg_qualtrics__core_mailing_list"}, "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__core_mailing_list_mailing_list_id__source_relation.fcd78a8fd6": {"test_metadata": {"name": "unique_combination_of_columns", "kwargs": {"combination_of_columns": ["mailing_list_id", "source_relation"], "model": "{{ get_where_subquery(ref('stg_qualtrics__core_mailing_list')) }}"}, "namespace": "dbt_utils"}, "database": "dbt-package-testing", "schema": "qualtrics_tests_dbt_test__audit", "name": "dbt_utils_unique_combination_of_columns_stg_qualtrics__core_mailing_list_mailing_list_id__source_relation", "resource_type": "test", "package_name": "qualtrics_source", "path": "dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0.sql", "original_file_path": "models/stg_qualtrics.yml", "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__core_mailing_list_mailing_list_id__source_relation.fcd78a8fd6", "fqn": ["qualtrics_source", "dbt_utils_unique_combination_of_columns_stg_qualtrics__core_mailing_list_mailing_list_id__source_relation"], "alias": "dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0", "checksum": {"name": "none", "checksum": ""}, "config": {"enabled": true, "alias": "dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "group": null, "materialized": "test", "severity": "ERROR", "store_failures": null, "store_failures_as": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "tags": [], "description": "", "columns": {}, "meta": {}, "group": null, "docs": {"show": true, "node_color": null}, "patch_path": null, "build_path": null, "deferred": false, "unrendered_config": {"alias": "dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0"}, "created_at": 1703019363.0503712, "relation_name": null, "raw_code": "{{ dbt_utils.test_unique_combination_of_columns(**_dbt_generic_test_kwargs) }}{{ config(alias=\"dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0\") }}", "language": "sql", "refs": [{"name": "stg_qualtrics__core_mailing_list", "package": null, "version": null}], "sources": [], "metrics": [], "depends_on": {"macros": ["macro.dbt_utils.test_unique_combination_of_columns", "macro.dbt.get_where_subquery"], "nodes": ["model.qualtrics_source.stg_qualtrics__core_mailing_list"]}, "compiled_path": "target/compiled/qualtrics_source/models/stg_qualtrics.yml/dbt_utils_unique_combination_o_537fa0b90391c84a079c51c383b210b0.sql", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        mailing_list_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`\n    group by mailing_list_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "contract": {"enforced": false, "alias_types": true, "checksum": null}, "column_name": null, "file_key_name": "models.stg_qualtrics__core_mailing_list", "attached_node": "model.qualtrics_source.stg_qualtrics__core_mailing_list"}}, "sources": {"source.qualtrics_source.qualtrics.user": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "user", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.user", "fqn": ["qualtrics_source", "qualtrics", "user"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "user", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "These are the users in your organizations, not the contacts for whom you are building content like surveys and messages.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_creation_date": {"name": "account_creation_date", "description": "The date and time that the account was created. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_expiration_date": {"name": "account_expiration_date", "description": "The date the account expires. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "account_status": {"name": "account_status", "description": "Either `active`, `disabled`, or `notVerified`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "division_id": {"name": "division_id", "description": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "The user's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "The user's first name or given name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "Unique ID of the user. Match pattern  = ^((UR)|(URH))_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_login_date": {"name": "last_login_date", "description": "The date and time the user last logged into the user interface. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "User's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "organization_id": {"name": "organization_id", "description": "ID of the organization/brand this record belongs to.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "password_expiration_date": {"name": "password_expiration_date", "description": "The date the account password expires. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "password_last_changed_date": {"name": "password_last_changed_date", "description": "The date the account password was last changed. Dates and times are expressed in ISO 8601 format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_auditable": {"name": "response_count_auditable", "description": "The count of auditable responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_deleted": {"name": "response_count_deleted", "description": "The count of deleted responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_count_generated": {"name": "response_count_generated", "description": "The count of generated responses.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "time_zone": {"name": "time_zone", "description": "The IANA time zone setting for the user.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed": {"name": "unsubscribed", "description": "Boolean indicating if the user unsubscribed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_type": {"name": "user_type", "description": "ID of the user type. See mappings of user types to their type IDs [here](https://api.qualtrics.com/dc2be1c61af61-user-type).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "username": {"name": "username", "description": "UI-facing username for the account.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`user`", "created_at": 1703019363.1112661}, "source.qualtrics_source.qualtrics.survey": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "survey", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.survey", "fqn": ["qualtrics_source", "qualtrics", "survey"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "survey", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Qualtrics survey.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "auto_scoring_category": {"name": "auto_scoring_category", "description": "The automated scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_base_url": {"name": "brand_base_url", "description": "Base url for the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "brand_id": {"name": "brand_id", "description": "Unique ID of the organization/brand.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "bundle_short_name": {"name": "bundle_short_name", "description": "Short name for the content bundle that the survey is from.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "composition_type": {"name": "composition_type", "description": "Survey composition type.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creator_id": {"name": "creator_id", "description": "The unique identifier for a specific `USER` who created the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "default_scoring_category": {"name": "default_scoring_category", "description": "The default scoring category.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "division_id": {"name": "division_id", "description": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_active": {"name": "is_active", "description": "DEPRECATED. Use `survey_status = 'active'` instead.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_accessed": {"name": "last_accessed", "description": "The date the survey was last accessed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_activated": {"name": "last_activated", "description": "The date the survey was last activated.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified": {"name": "last_modified", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_id": {"name": "owner_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_category": {"name": "project_category", "description": "Project category of the survey.\n\nAllowed values - `CORE`, `CX`, `EX`, `BX`, `PX`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "project_type": {"name": "project_type", "description": "Type of [Qualtrics project](https://www.qualtrics.com/support/survey-platform/my-projects/my-projects-overview/#SelectingProjectType). Match pattern = ^[a-zA-Z]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_sha": {"name": "registry_sha", "description": "The survey registry SHA.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "registry_version": {"name": "registry_version", "description": "The survey registry version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "schema_version": {"name": "schema_version", "description": "Qualtrics schema version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_questions": {"name": "scoring_summary_after_questions", "description": "Boolean representing whether the scoring summary is after questions.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_after_survey": {"name": "scoring_summary_after_survey", "description": "Boolean representing whether the scoring summary is after the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "scoring_summary_category": {"name": "scoring_summary_category", "description": "The unique identifier for the scoring.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_name": {"name": "survey_name", "description": "Name of the survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_status": {"name": "survey_status", "description": "The distribution status of the survey, or a flag indicating that it's a library block\n\nAllowed values - `Inactive`, `Active`, `Pending`, `LibBlock`, `Deactive`, `Temporary`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`survey`", "created_at": 1703019363.111428}, "source.qualtrics_source.qualtrics.question": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "question", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.question", "fqn": ["qualtrics_source", "qualtrics", "question"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "question", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Questions within a survey.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "data_export_tag": {"name": "data_export_tag", "description": "The tag to identify the question in exported data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "data_visibility_hidden": {"name": "data_visibility_hidden", "description": "Boolean that represents whether the embedded data is hidden.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "data_visibility_private": {"name": "data_visibility_private", "description": "Boolean that represents whether the embedded data is private.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "next_answer_id": {"name": "next_answer_id", "description": "For Matrix questions, the vertical options are denoted as \"Answers\" in the question's structure. \nID of the next answer for this question. ?", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "next_choice_id": {"name": "next_choice_id", "description": "For Matrix questions, the horizontal options are denoted as \"Choices\" in the question's structure. \n\nID of the next choice for this question. ?", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_description": {"name": "question_description", "description": "Label to identify the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_description_option": {"name": "question_description_option", "description": "An optional user-provided field for question descriptions. Accepted values = `UseText`, `SpecifyLabel`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_text": {"name": "question_text", "description": "Text for the question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_text_unsafe": {"name": "question_text_unsafe", "description": "Un-paresed version of the question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_type": {"name": "question_type", "description": "The type of question. Can be -\n`MC`,`Matrix`,`Captcha`,`CS`,`DB`,`DD`,`Draw`,`DynamicMatrix`,`FileUpload`,`GAP`,`HeatMap`,`HL`,`HotSpot`,`Meta`,`PGR`,`RO`,`SBS`,`Slider`,`SS`,`TE`,`Timing`,`TreeSelect`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "selector": {"name": "selector", "description": "How answers are selected such as single answer, multiple answer, etc. Accepted values - \n- `Bipolar`\n- `Browser`\n- `Captcha`\n- `CompactView`\n- `CS`\n- `D`\n- `DL`\n- `DND`\n- `DragAndDrop`\n- `ESTB`\n- `FORM`\n- `FileUpload`\n- `GRB`\n- `HBAR`\n- `HR`\n- `HSLIDER`\n- `I`\n- `Image`\n- `LikeDislike`\n- `Likert`\n- `MACOL`\n- `MAHR`\n- `MAVR`\n- `ML`\n- `MSB`\n- `MaxDiff`\n- `NPS`\n- `OH`\n- `OnOff`\n- `POS`\n- `PTB`\n- `PW`\n- `PageTimer`\n- `Profile`\n- `RB`\n- `RO`\n- `SACOL`\n- `SAHR`\n- `SAVR`\n- `SB`\n- `SBSMatrix`\n- `SL`\n- `STAR`\n- `ScreenCapture`\n- `SearchOnly`\n- `Signature`\n- `TA`\n- `TB`\n- `TBelow`\n- `TE`\n- `TL`\n- `TRight`\n- `Text`\n- `V1`\n- `V2`\n- `VR`\n- `VRTL`\n- `WTXB`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_selector": {"name": "sub_selector", "description": "How subquestion answers are selected. Allowed values - SingleAnswer, DL, GR, DND, Long, Medium, MultipleAnswer, Columns, NoColumns, Short, TX, TXOT, WOTXB, WOTB, WTB, WTXB, WVTB.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response": {"name": "validation_setting_force_response", "description": "The response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_force_response_type": {"name": "validation_setting_force_response_type", "description": "The type of response from forcing respondents to answer a question or request that they consider answering the question before leaving the page", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "validation_setting_type": {"name": "validation_setting_type", "description": "The type of forced response validation that is set.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`question`", "created_at": 1703019363.111545}, "source.qualtrics_source.qualtrics.question_response": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "question_response", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.question_response", "fqn": ["qualtrics_source", "qualtrics", "question_response"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "question_response", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Responses to individual questions (and their sub-questions).", "columns": {"_fivetran_id": {"name": "_fivetran_id", "description": "Fivetran-generated unique key hashed on `response_id`, `question_id`, `sub_question_key`, `sub_question_text` , `question_option_key` , `loop_id` and `importId`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "loop_id": {"name": "loop_id", "description": "ID of the [Loop and Merge](https://www.qualtrics.com/support/survey-platform/survey-module/block-options/loop-and-merge/) object this response is associated with.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question": {"name": "question", "description": "Question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_option_key": {"name": "question_option_key", "description": "The key of the `QUESTION_OPTION` that was chosen.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_key": {"name": "sub_question_key", "description": "Key of the sub question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sub_question_text": {"name": "sub_question_text", "description": "Sub question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "value": {"name": "value", "description": "Value of the question response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`question_response`", "created_at": 1703019363.1116438}, "source.qualtrics_source.qualtrics.question_option": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "question_option", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.question_option", "fqn": ["qualtrics_source", "qualtrics", "question_option"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "question_option", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Choice options for survey questions.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "The key of the `QUESTION_OPTION` that was chosen.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recode_value": {"name": "recode_value", "description": "Recode/mapping value for the option.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "text": {"name": "text", "description": "Question option text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`question_option`", "created_at": 1703019363.111737}, "source.qualtrics_source.qualtrics.survey_response": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "survey_response", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.survey_response", "fqn": ["qualtrics_source", "qualtrics", "survey_response"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "survey_response", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Individual responses to surveys. A response becomes \"recorded\" when a respondent submits a survey,  a survey is manually closed from the Responses in Progress page, or a survey session expires.\n", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_channel": {"name": "distribution_channel", "description": "The method by which the survey was distributed to respondents.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "duration_in_seconds": {"name": "duration_in_seconds", "description": "How long it took for the respondent to finish the survey in seconds.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "end_date": {"name": "end_date", "description": "The point in time when the survey response was finished.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "finished": {"name": "finished", "description": "Boolean (stored as int) indicating if the respondent finished and submitted the survey, the value will be 1, otherwise it will be 0.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ip_address": {"name": "ip_address", "description": "IP address of the recipient.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_date": {"name": "last_modified_date", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_latitude": {"name": "location_latitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "location_longitude": {"name": "location_longitude", "description": "The approximate location of the respondent at the time the survey was taken.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "progress": {"name": "progress", "description": "How far the respondent has progressed through the survey as a percentage out of 100.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_email": {"name": "recipient_email", "description": "Email of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_first_name": {"name": "recipient_first_name", "description": "First name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_last_name": {"name": "recipient_last_name", "description": "Last name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recorded_date": {"name": "recorded_date", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "start_date": {"name": "start_date", "description": "The point in time when the survey response was recorded.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "The type of response.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_language": {"name": "user_language", "description": "The language of the respondent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`survey_response`", "created_at": 1703019363.111847}, "source.qualtrics_source.qualtrics.sub_question": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "sub_question", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.sub_question", "fqn": ["qualtrics_source", "qualtrics", "sub_question"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "sub_question", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Sub-questions of questions.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "choice_data_export_tag": {"name": "choice_data_export_tag", "description": "The tag to identify the question choice in exported data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "Key of the sub question.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "text": {"name": "text", "description": "Sub question text.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`sub_question`", "created_at": 1703019363.111938}, "source.qualtrics_source.qualtrics.survey_version": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "survey_version", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.survey_version", "fqn": ["qualtrics_source", "qualtrics", "survey_version"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "survey_version", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Published and un-published versions of surveys.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creation_date": {"name": "creation_date", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "description": {"name": "description", "description": "A user-provided description of the survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The unique identifier for this survey version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "published": {"name": "published", "description": "Boolean that, when true, publishes the version.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "user_id": {"name": "user_id", "description": "ID of `USER` who published this survey version in your org.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "version_number": {"name": "version_number", "description": "The version number of this survey.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "was_published": {"name": "was_published", "description": "Boolean that is true if the survey version was published.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`survey_version`", "created_at": 1703019363.1120331}, "source.qualtrics_source.qualtrics.survey_embedded_data": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "survey_embedded_data", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.survey_embedded_data", "fqn": ["qualtrics_source", "qualtrics", "survey_embedded_data"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "survey_embedded_data", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Any extra information you would like recorded in addition to the question responses.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "import_id": {"name": "import_id", "description": "A unique identifier to recognize this import job of embedded survey data.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "key": {"name": "key", "description": "Key of the embedded survey data element.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The unique ID for the `SURVEY_RESPONSE`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "value": {"name": "value", "description": "Key of the embedded survey data element.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`survey_embedded_data`", "created_at": 1703019363.112121}, "source.qualtrics_source.qualtrics.block": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "block", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.block", "fqn": ["qualtrics_source", "qualtrics", "block"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "block", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Groups of questions, used to organize longer surveys and conditionally display sets of questions.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_locking": {"name": "block_locking", "description": "Boolean representing whether modification of the block and its contents is prevented.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_visibility": {"name": "block_visibility", "description": "Whether the questions in the block are 'collapsed' or 'expanded' by default.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "description": {"name": "description", "description": "Description given to the block.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "randomize_questions": {"name": "randomize_questions", "description": "If/how the block questions are randomized. Can be - `false` (no randomization), `RandomWithXPerPage` (randomize all and place X questions in each block), `RandomWithOnlyX` (randomly present only X out of the total questions), or `Advanced` (custom configuration)", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "type": {"name": "type", "description": "Type of block. Can be `Trash`, `Default`, or `Standard`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`block`", "created_at": 1703019363.112215}, "source.qualtrics_source.qualtrics.block_question": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "block_question", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.block_question", "fqn": ["qualtrics_source", "qualtrics", "block_question"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "block_question", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Table relating questions and blocks together.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "block_id": {"name": "block_id", "description": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "question_id": {"name": "question_id", "description": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_id": {"name": "survey_id", "description": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`block_question`", "created_at": 1703019363.112362}, "source.qualtrics_source.qualtrics.directory": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "directory", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.directory", "fqn": ["qualtrics_source", "qualtrics", "directory"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "directory", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "A directory is an address book for the entire brand and contains all of the contacts that have been added by your users.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "deduplication_criteria_email": {"name": "deduplication_criteria_email", "description": "Boolean representing if directory contacts are deduped based on email.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "deduplication_criteria_external_data_reference": {"name": "deduplication_criteria_external_data_reference", "description": "Boolean representing if directory contacts are deduped based on an external data reference.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "deduplication_criteria_first_name": {"name": "deduplication_criteria_first_name", "description": "Boolean representing if directory contacts are deduped based on first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "deduplication_criteria_last_name": {"name": "deduplication_criteria_last_name", "description": "Boolean representing if directory contacts are deduped based on last name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "deduplication_criteria_phone": {"name": "deduplication_criteria_phone", "description": "Boolean representing if directory contacts are deduped based on phone number.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "is_default": {"name": "is_default", "description": "Boolean representing if this directory is the default one for your brand. \n\nThe default directory will be the first directory listed in the dropdown menu in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`directory`", "created_at": 1703019363.112461}, "source.qualtrics_source.qualtrics.directory_contact": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "directory_contact", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.directory_contact", "fqn": ["qualtrics_source", "qualtrics", "directory_contact"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "directory_contact", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Tablle relating contacts to the XM directories they are a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creation_date": {"name": "creation_date", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_unsubscribe_date": {"name": "directory_unsubscribe_date", "description": "Date and time the user opted out of the directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_unsubscribed": {"name": "directory_unsubscribed", "description": "Boolean indicating whether the contact unsubscribed from all contact from the Directory.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "Contact's email address. Must be in proper email format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email_domain": {"name": "email_domain", "description": "Domain of the contact's email address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "ext_ref": {"name": "ext_ref", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified": {"name": "last_modified", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "phone": {"name": "phone", "description": "Contact's phone number.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "write_blanks": {"name": "write_blanks", "description": "Boolean of whether to write blanks(?) or not.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`directory_contact`", "created_at": 1703019363.112566}, "source.qualtrics_source.qualtrics.distribution": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "distribution", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.distribution", "fqn": ["qualtrics_source", "qualtrics", "distribution"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "distribution", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Use distributions to reach out to contacts in the XM Directory platform, with or without a survey attached.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "created_date": {"name": "created_date", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_email": {"name": "header_from_email", "description": "Email from address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_from_name": {"name": "header_from_name", "description": "Email from name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_reply_to_email": {"name": "header_reply_to_email", "description": "Email reply-to address.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "header_subject": {"name": "header_subject", "description": "Email subject; text or message id (MS_).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The unique Distribution ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_library_id": {"name": "message_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_message_id": {"name": "message_message_id", "description": "The ID for the desired library message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "message_message_text": {"name": "message_message_text", "description": "Text of the message to send.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "modified_date": {"name": "modified_date", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "organization_id": {"name": "organization_id", "description": "ID of the organization/brand this record belongs to.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_id": {"name": "owner_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "parent_distribution_id": {"name": "parent_distribution_id", "description": "The unique ID of the parent distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_contact_id": {"name": "recipient_contact_id", "description": "The contact ID of the recipient. Can point to `directory_contact` or `core_contact`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_library_id": {"name": "recipient_library_id", "description": "Library ID of the message.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_mailing_list_id": {"name": "recipient_mailing_list_id", "description": "The mailing list or contact group associated with the distribution(s). Can point to `directory_mailing_list` or `core_mailing_list`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "recipient_sample_id": {"name": "recipient_sample_id", "description": "The ID for the desired sample. Can point to `directory_sample` or `core_sample` (not included in package).", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_status": {"name": "request_status", "description": "The distribution's status. States include `Pending` and `Done`. The Pending state is for email that is scheduled to be sent at a later time.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "request_type": {"name": "request_type", "description": "The distribution's type. Types include `Invite`, `Reminder`, and `ThankYou`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "send_date": {"name": "send_date", "description": "The date and time the request will be or was sent (in ISO 8601 format). Note that this date and time could be in the future if the email distribution is scheduled to send after a delay.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_expiration_date": {"name": "survey_link_expiration_date", "description": "The expiration date for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_link_type": {"name": "survey_link_link_type", "description": "The link type (`Individual`, `Anonymous`, or `Multiple`) for the link associated with the survey distribution. Null if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link_survey_id": {"name": "survey_link_survey_id", "description": "The unique survey ID. Will be non-null even if `request_type` != `Invite`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`distribution`", "created_at": 1703019363.11268}, "source.qualtrics_source.qualtrics.distribution_contact": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "distribution_contact", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.distribution_contact", "fqn": ["qualtrics_source", "qualtrics", "distribution_contact"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "distribution_contact", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Table relating contacts to distributiins they've been a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_frequency_rule_id": {"name": "contact_frequency_rule_id", "description": "The contact frequency Rule ID. Ex - FQ_AAB234234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_lookup_id": {"name": "contact_lookup_id", "description": "Optional contact lookup ID for individual distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "distribution_id": {"name": "distribution_id", "description": "The unique Distribution ID.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "opened_at": {"name": "opened_at", "description": "The time a survey was opened by the respondent, will be null if the survey has not been opened.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_completed_at": {"name": "response_completed_at", "description": "The time a response was completed, will be null for uncompleted surveys.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_id": {"name": "response_id", "description": "The ID of the survey response submitted by this contact. If no survey response has been submitted, this value will be null. If the survey was setup to anonymize responses, then this value will be `Anonymous`.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "response_started_at": {"name": "response_started_at", "description": "The time a response was started by the respondent, will be null if survey has not been started.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "sent_at": {"name": "sent_at", "description": "The time a survey was sent to the respondent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "status": {"name": "status", "description": "One of:\n- `Pending` - The distribution is scheduled but has yet to be sent.\n- `Success` - The distribution was successfully delivered to the contact.\n- `Error` - An error occurred while attempting to send the distribution.\n- `Opened` - The distribution was opened by the contact.\n- `Complaint` - The contact complained that the distribution was spam.\n- `Skipped` - The contact was skipped due to contact frequency rules or blacklisted contact information.\n- `Blocked` - The distribution failed to send, because the contact blocked it or the email was caught by the spam circuit breaker.\n- `Failure` - The distribution failed to be delivered.\n- `Unknown` - The distribution failed for an unknown reason.\n- `SoftBounce` - The distribution bounced but can be retried.\n- `HardBounce` - The distribution bounced and should not be retried.\n- `SurveyStarted` - The contact started the survey distributed.\n- `SurveyPartiallyFinished` - The contact submitted a partially completed survey response.\n- `SurveyFinished` - The contact submitted a completed survey response.\n- `SurveyScreenedOut` - The contact screened out while taking the survey.\n- `SessionExpired` - The contact's survey session has expired.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_link": {"name": "survey_link", "description": "The survey link sent with the distribution. This is null when no link was sent.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "survey_session_id": {"name": "survey_session_id", "description": "An identifier that represents the session in which the respondent interacted with the survey", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`distribution_contact`", "created_at": 1703019363.112778}, "source.qualtrics_source.qualtrics.directory_mailing_list": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "directory_mailing_list", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.directory_mailing_list", "fqn": ["qualtrics_source", "qualtrics", "directory_mailing_list"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "directory_mailing_list", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Mailing lists are lists of contacts that can receive emails and survey invitations. You can create mailing lists either through file upload or manually.", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "creation_date": {"name": "creation_date", "description": "The creation date and time of the record, expressed as an ISO 8601 value.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_modified_date": {"name": "last_modified_date", "description": "The point in time when the record was last modified.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_id": {"name": "owner_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`directory_mailing_list`", "created_at": 1703019363.112868}, "source.qualtrics_source.qualtrics.contact_mailing_list_membership": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "contact_mailing_list_membership", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.contact_mailing_list_membership", "fqn": ["qualtrics_source", "qualtrics", "contact_mailing_list_membership"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "contact_mailing_list_membership", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Table relating contacts to mailing lists they are a part of.", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_id": {"name": "contact_id", "description": "The ID for the contact. Example - CID_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "contact_lookup_id": {"name": "contact_lookup_id", "description": "Optional contact lookup ID for individual distribution.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "directory_id": {"name": "directory_id", "description": "The directory ID, also known as a pool ID. Example - POOL_012345678901234", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "owner_id": {"name": "owner_id", "description": "The unique identifier for a specific user who owns this.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribe_date": {"name": "unsubscribe_date", "description": "Date and time the user opted out of this mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed": {"name": "unsubscribed", "description": "Boolean indicating whether the contact has opted out of receiving email through this mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`contact_mailing_list_membership`", "created_at": 1703019363.11296}, "source.qualtrics_source.qualtrics.core_contact": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "core_contact", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.core_contact", "fqn": ["qualtrics_source", "qualtrics", "core_contact"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "core_contact", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Research Core contacts (non-XM directory).", "columns": {"_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "Mailing List Contact ID (different from `contact_id`). ex: `MLRP_*`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "mailing_list_id": {"name": "mailing_list_id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "first_name": {"name": "first_name", "description": "Contact's first name.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "last_name": {"name": "last_name", "description": "Contact's surname.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "email": {"name": "email", "description": "Contact's email address. Must be in proper email format.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "external_data_reference": {"name": "external_data_reference", "description": "The external reference for the contact.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "language": {"name": "language", "description": "The user's default language.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "unsubscribed": {"name": "unsubscribed", "description": "Boolean indicating if the user unsubscribed.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`core_contact`", "created_at": 1703019363.113066}, "source.qualtrics_source.qualtrics.core_mailing_list": {"database": "dbt-package-testing", "schema": "qualtrics_tests", "name": "core_mailing_list", "resource_type": "source", "package_name": "qualtrics_source", "path": "models/src_qualtrics.yml", "original_file_path": "models/src_qualtrics.yml", "unique_id": "source.qualtrics_source.qualtrics.core_mailing_list", "fqn": ["qualtrics_source", "qualtrics", "core_mailing_list"], "source_name": "qualtrics", "source_description": "", "loader": "", "identifier": "core_mailing_list", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "Research Core mailing list (non xm-directory).", "columns": {"_fivetran_deleted": {"name": "_fivetran_deleted", "description": "Boolean representing whether the record was soft-deleted in Qualtrics.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "_fivetran_synced": {"name": "_fivetran_synced", "description": "The time when a record was last updated by Fivetran.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "id": {"name": "id", "description": "The ID for the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "library_id": {"name": "library_id", "description": "The library ID. Example: `UR_1234567890AbCdE`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "name": {"name": "name", "description": "Name of the mailing list.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "category": {"name": "category", "description": "The library ID. Example: `UR_1234567890AbCdE`", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}, "folder": {"name": "folder", "description": "The folder this is placed in.", "meta": {}, "data_type": null, "constraints": [], "quote": null, "tags": []}}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {"enabled": true}, "relation_name": "`dbt-package-testing`.`qualtrics_tests`.`core_mailing_list`", "created_at": 1703019363.113166}}, "macros": {"macro.dbt_bigquery.date_sharded_table": {"name": "date_sharded_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/etc.sql", "original_file_path": "macros/etc.sql", "unique_id": "macro.dbt_bigquery.date_sharded_table", "macro_sql": "{% macro date_sharded_table(base_name) %}\n    {{ return(base_name ~ \"[DBT__PARTITION_DATE]\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.280597, "supported_languages": null}, "macro.dbt_bigquery.grant_access_to": {"name": "grant_access_to", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/etc.sql", "original_file_path": "macros/etc.sql", "unique_id": "macro.dbt_bigquery.grant_access_to", "macro_sql": "{% macro grant_access_to(entity, entity_type, role, grant_target_dict) -%}\n  {% do adapter.grant_access_to(entity, entity_type, role, grant_target_dict) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.2808409, "supported_languages": null}, "macro.dbt_bigquery.get_partitions_metadata": {"name": "get_partitions_metadata", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/etc.sql", "original_file_path": "macros/etc.sql", "unique_id": "macro.dbt_bigquery.get_partitions_metadata", "macro_sql": "\n\n{%- macro get_partitions_metadata(table) -%}\n  {%- if execute -%}\n    {%- set res = adapter.get_partitions_metadata(table) -%}\n    {{- return(res) -}}\n  {%- endif -%}\n  {{- return(None) -}}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.281155, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_catalog": {"name": "bigquery__get_catalog", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/catalog.sql", "original_file_path": "macros/catalog.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_catalog", "macro_sql": "{% macro bigquery__get_catalog(information_schema, schemas) -%}\n\n  {%- if (schemas | length) == 0 -%}\n    {# Hopefully nothing cares about the columns we return when there are no rows #}\n    {%- set query  = \"select 1 as id limit 0\" -%}\n  {%- else -%}\n\n  {%- set query -%}\n    with materialized_views as (\n        select\n            table_catalog as project_id,\n            table_schema as dataset_id,\n            table_name as table_id\n        from {{ information_schema.replace(information_schema_view='MATERIALIZED_VIEWS') }}\n    ),\n    tables as (\n        select\n            tables.project_id as table_database,\n            tables.dataset_id as table_schema,\n            tables.table_id as original_table_name,\n\n            concat(tables.project_id, '.', tables.dataset_id, '.', tables.table_id) as relation_id,\n\n            tables.row_count,\n            tables.size_bytes as size_bytes,\n            case\n                when materialized_views.table_id is not null then 'materialized view'\n                when tables.type = 1 then 'table'\n                when tables.type = 2 then 'view'\n                else 'external'\n            end as table_type,\n\n            REGEXP_CONTAINS(tables.table_id, '^.+[0-9]{8}$') and coalesce(type, 0) = 1 as is_date_shard,\n            REGEXP_EXTRACT(tables.table_id, '^(.+)[0-9]{8}$') as shard_base_name,\n            REGEXP_EXTRACT(tables.table_id, '^.+([0-9]{8})$') as shard_name\n\n        from {{ information_schema.replace(information_schema_view='__TABLES__') }} tables\n        left join materialized_views\n            on materialized_views.project_id = tables.project_id\n            and materialized_views.dataset_id = tables.dataset_id\n            and materialized_views.table_id = tables.table_id\n        where (\n          {%- for schema in schemas -%}\n            upper(tables.dataset_id) = upper('{{ schema }}'){%- if not loop.last %} or {% endif -%}\n          {%- endfor -%}\n        )\n    ),\n\n    table_options as (\n        select\n            concat(table_catalog, '.', table_schema, '.', table_name) as relation_id,\n            JSON_VALUE(option_value) as table_comment\n\n        from {{ information_schema.replace(information_schema_view='TABLE_OPTIONS') }}\n        where option_name = 'description'\n    ),\n    extracted as (\n\n        select *,\n            case\n                when is_date_shard then shard_base_name\n                else original_table_name\n            end as table_name\n\n        from tables\n\n    ),\n\n    unsharded_tables as (\n\n        select\n            table_database,\n            table_schema,\n            table_name,\n            coalesce(table_type, 'external') as table_type,\n            is_date_shard,\n\n            struct(\n                min(shard_name) as shard_min,\n                max(shard_name) as shard_max,\n                count(*) as shard_count\n            ) as table_shards,\n\n            sum(size_bytes) as size_bytes,\n            sum(row_count) as row_count,\n\n            max(relation_id) as relation_id\n\n        from extracted\n        group by 1,2,3,4,5\n\n    ),\n\n    info_schema_columns as (\n\n        select\n            concat(table_catalog, '.', table_schema, '.', table_name) as relation_id,\n            table_catalog as table_database,\n            table_schema,\n            table_name,\n\n            -- use the \"real\" column name from the paths query below\n            column_name as base_column_name,\n            ordinal_position as column_index,\n\n            is_partitioning_column,\n            clustering_ordinal_position\n\n        from {{ information_schema.replace(information_schema_view='COLUMNS') }}\n        where ordinal_position is not null\n\n    ),\n\n    info_schema_column_paths as (\n\n        select\n            concat(table_catalog, '.', table_schema, '.', table_name) as relation_id,\n            field_path as column_name,\n            data_type as column_type,\n            column_name as base_column_name,\n            description as column_comment\n\n        from {{ information_schema.replace(information_schema_view='COLUMN_FIELD_PATHS') }}\n\n    ),\n\n    columns as (\n\n        select * except (base_column_name)\n        from info_schema_columns\n        join info_schema_column_paths using (relation_id, base_column_name)\n\n    ),\n\n    column_stats as (\n\n        select\n            table_database,\n            table_schema,\n            table_name,\n            max(relation_id) as relation_id,\n            max(case when is_partitioning_column = 'YES' then 1 else 0 end) = 1 as is_partitioned,\n            max(case when is_partitioning_column = 'YES' then column_name else null end) as partition_column,\n            max(case when clustering_ordinal_position is not null then 1 else 0 end) = 1 as is_clustered,\n            array_to_string(\n                array_agg(\n                    case\n                        when clustering_ordinal_position is not null then column_name\n                        else null\n                    end ignore nulls\n                    order by clustering_ordinal_position\n                ), ', '\n            ) as clustering_columns\n\n        from columns\n        group by 1,2,3\n\n    )\n\n    select\n        unsharded_tables.table_database,\n        unsharded_tables.table_schema,\n        case\n            when is_date_shard then concat(unsharded_tables.table_name, '*')\n            else unsharded_tables.table_name\n        end as table_name,\n        unsharded_tables.table_type,\n        table_options.table_comment,\n\n        -- coalesce name and type for External tables - these columns are not\n        -- present in the COLUMN_FIELD_PATHS resultset\n        coalesce(columns.column_name, '<unknown>') as column_name,\n        -- invent a row number to account for nested fields -- BQ does\n        -- not treat these nested properties as independent fields\n        row_number() over (\n            partition by relation_id\n            order by columns.column_index, columns.column_name\n        ) as column_index,\n        coalesce(columns.column_type, '<unknown>') as column_type,\n        columns.column_comment,\n\n        'Shard count' as `stats__date_shards__label`,\n        table_shards.shard_count as `stats__date_shards__value`,\n        'The number of date shards in this table' as `stats__date_shards__description`,\n        is_date_shard as `stats__date_shards__include`,\n\n        'Shard (min)' as `stats__date_shard_min__label`,\n        table_shards.shard_min as `stats__date_shard_min__value`,\n        'The first date shard in this table' as `stats__date_shard_min__description`,\n        is_date_shard as `stats__date_shard_min__include`,\n\n        'Shard (max)' as `stats__date_shard_max__label`,\n        table_shards.shard_max as `stats__date_shard_max__value`,\n        'The last date shard in this table' as `stats__date_shard_max__description`,\n        is_date_shard as `stats__date_shard_max__include`,\n\n        '# Rows' as `stats__num_rows__label`,\n        row_count as `stats__num_rows__value`,\n        'Approximate count of rows in this table' as `stats__num_rows__description`,\n        (unsharded_tables.table_type = 'table') as `stats__num_rows__include`,\n\n        'Approximate Size' as `stats__num_bytes__label`,\n        size_bytes as `stats__num_bytes__value`,\n        'Approximate size of table as reported by BigQuery' as `stats__num_bytes__description`,\n        (unsharded_tables.table_type = 'table') as `stats__num_bytes__include`,\n\n        'Partitioned By' as `stats__partitioning_type__label`,\n        partition_column as `stats__partitioning_type__value`,\n        'The partitioning column for this table' as `stats__partitioning_type__description`,\n        is_partitioned as `stats__partitioning_type__include`,\n\n        'Clustered By' as `stats__clustering_fields__label`,\n        clustering_columns as `stats__clustering_fields__value`,\n        'The clustering columns for this table' as `stats__clustering_fields__description`,\n        is_clustered as `stats__clustering_fields__include`\n\n    -- join using relation_id (an actual relation, not a shard prefix) to make\n    -- sure that column metadata is picked up through the join. This will only\n    -- return the column information for the \"max\" table in a date-sharded table set\n    from unsharded_tables\n    left join table_options using (relation_id)\n    left join columns using (relation_id)\n    left join column_stats using (relation_id)\n  {%- endset -%}\n\n  {%- endif -%}\n\n  {{ return(run_query(query)) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.2858088, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_table_as": {"name": "bigquery__create_table_as", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_table_as", "macro_sql": "{% macro bigquery__create_table_as(temporary, relation, compiled_code, language='sql') -%}\n  {%- if language == 'sql' -%}\n    {%- set raw_partition_by = config.get('partition_by', none) -%}\n    {%- set raw_cluster_by = config.get('cluster_by', none) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {%- set partition_config = adapter.parse_partition_by(raw_partition_by) -%}\n    {%- if partition_config.time_ingestion_partitioning -%}\n    {%- set columns = get_columns_with_types_in_query_sql(sql) -%}\n    {%- set table_dest_columns_csv = columns_without_partition_fields_csv(partition_config, columns) -%}\n    {%- set columns = '(' ~ table_dest_columns_csv ~ ')' -%}\n    {%- endif -%}\n\n    {{ sql_header if sql_header is not none }}\n\n    create or replace table {{ relation }}\n      {%- set contract_config = config.get('contract') -%}\n      {%- if contract_config.enforced -%}\n        {{ get_assert_columns_equivalent(compiled_code) }}\n        {{ get_table_columns_and_constraints() }}\n        {%- set compiled_code = get_select_subquery(compiled_code) %}\n      {% else %}\n        {#-- cannot do contracts at the same time as time ingestion partitioning -#}\n        {{ columns }}\n      {% endif %}\n    {{ partition_by(partition_config) }}\n    {{ cluster_by(raw_cluster_by) }}\n\n    {{ bigquery_table_options(config, model, temporary) }}\n\n    {#-- PARTITION BY cannot be used with the AS query_statement clause.\n         https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#partition_expression\n    -#}\n    {%- if not partition_config.time_ingestion_partitioning %}\n    as (\n      {{ compiled_code }}\n    );\n    {%- endif %}\n  {%- elif language == 'python' -%}\n    {#--\n    N.B. Python models _can_ write to temp views HOWEVER they use a different session\n    and have already expired by the time they need to be used (I.E. in merges for incremental models)\n\n    TODO: Deep dive into spark sessions to see if we can reuse a single session for an entire\n    dbt invocation.\n     --#}\n\n    {#-- when a user wants to change the schema of an existing relation, they must intentionally drop the table in the dataset --#}\n    {%- set old_relation = adapter.get_relation(database=relation.database, schema=relation.schema, identifier=relation.identifier) -%}\n    {%- if (old_relation.is_table and (should_full_refresh())) -%}\n      {% do adapter.drop_relation(relation) %}\n    {%- endif -%}\n    {{ py_write_table(compiled_code=compiled_code, target_relation=relation.quote(database=False, schema=False, identifier=False)) }}\n  {%- else -%}\n    {% do exceptions.raise_compiler_error(\"bigquery__create_table_as macro didn't get supported language, it got %s\" % language) %}\n  {%- endif -%}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.get_columns_with_types_in_query_sql", "macro.dbt_bigquery.columns_without_partition_fields_csv", "macro.dbt.get_assert_columns_equivalent", "macro.dbt.get_table_columns_and_constraints", "macro.dbt.get_select_subquery", "macro.dbt_bigquery.partition_by", "macro.dbt_bigquery.cluster_by", "macro.dbt_bigquery.bigquery_table_options", "macro.dbt.should_full_refresh", "macro.dbt_bigquery.py_write_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.290418, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_view_as": {"name": "bigquery__create_view_as", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_view_as", "macro_sql": "{% macro bigquery__create_view_as(relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n\n  create or replace view {{ relation }}\n  {{ bigquery_view_options(config, model) }}\n  {%- set contract_config = config.get('contract') -%}\n  {%- if contract_config.enforced -%}\n    {{ get_assert_columns_equivalent(sql) }}\n  {%- endif %}\n  as {{ sql }};\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery_view_options", "macro.dbt.get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.290932, "supported_languages": null}, "macro.dbt_bigquery.bigquery__drop_schema": {"name": "bigquery__drop_schema", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__drop_schema", "macro_sql": "{% macro bigquery__drop_schema(relation) -%}\n  {{ adapter.drop_schema(relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.291072, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_columns_in_relation": {"name": "bigquery__get_columns_in_relation", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_columns_in_relation", "macro_sql": "{% macro bigquery__get_columns_in_relation(relation) -%}\n  {{ return(adapter.get_columns_in_relation(relation)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.291224, "supported_languages": null}, "macro.dbt_bigquery.bigquery__list_relations_without_caching": {"name": "bigquery__list_relations_without_caching", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__list_relations_without_caching", "macro_sql": "{% macro bigquery__list_relations_without_caching(schema_relation) -%}\n  {{ return(adapter.list_relations_without_caching(schema_relation)) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.291374, "supported_languages": null}, "macro.dbt_bigquery.bigquery__list_schemas": {"name": "bigquery__list_schemas", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__list_schemas", "macro_sql": "{% macro bigquery__list_schemas(database) -%}\n  {{ return(adapter.list_schemas(database)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.291541, "supported_languages": null}, "macro.dbt_bigquery.bigquery__check_schema_exists": {"name": "bigquery__check_schema_exists", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__check_schema_exists", "macro_sql": "{% macro bigquery__check_schema_exists(information_schema, schema) %}\n  {{ return(adapter.check_schema_exists(information_schema.database, schema)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.291737, "supported_languages": null}, "macro.dbt_bigquery.bigquery__persist_docs": {"name": "bigquery__persist_docs", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__persist_docs", "macro_sql": "{% macro bigquery__persist_docs(relation, model, for_relation, for_columns) -%}\n  {% if for_columns and config.persist_column_docs() and model.columns %}\n    {% do alter_column_comment(relation, model.columns) %}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.292025, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_column_comment": {"name": "bigquery__alter_column_comment", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_column_comment", "macro_sql": "{% macro bigquery__alter_column_comment(relation, column_dict) -%}\n  {% do adapter.update_columns(relation, column_dict) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.292192, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_relation_add_columns": {"name": "bigquery__alter_relation_add_columns", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_relation_add_columns", "macro_sql": "{% macro bigquery__alter_relation_add_columns(relation, add_columns) %}\n\n  {% set sql -%}\n\n     alter {{ relation.type }} {{ relation }}\n        {% for column in add_columns %}\n          add column {{ column.name }} {{ column.data_type }}{{ ',' if not loop.last }}\n        {% endfor %}\n\n  {%- endset -%}\n\n  {{ return(run_query(sql)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.292622, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_relation_drop_columns": {"name": "bigquery__alter_relation_drop_columns", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_relation_drop_columns", "macro_sql": "{% macro bigquery__alter_relation_drop_columns(relation, drop_columns) %}\n\n  {% set sql -%}\n\n     alter {{ relation.type }} {{ relation }}\n\n        {% for column in drop_columns %}\n          drop column {{ column.name }}{{ ',' if not loop.last }}\n        {% endfor %}\n\n  {%- endset -%}\n\n  {{ return(run_query(sql)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.2930171, "supported_languages": null}, "macro.dbt_bigquery.bigquery__alter_column_type": {"name": "bigquery__alter_column_type", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__alter_column_type", "macro_sql": "{% macro bigquery__alter_column_type(relation, column_name, new_column_type) -%}\n  {#-- Changing a column's data type using a query requires you to scan the entire table.\n    The query charges can be significant if the table is very large.\n\n    https://cloud.google.com/bigquery/docs/manually-changing-schemas#changing_a_columns_data_type\n  #}\n  {% set relation_columns = get_columns_in_relation(relation) %}\n\n  {% set sql %}\n    select\n      {%- for col in relation_columns -%}\n        {% if col.column == column_name %}\n          CAST({{ col.quoted }} AS {{ new_column_type }}) AS {{ col.quoted }}\n        {%- else %}\n          {{ col.quoted }}\n        {%- endif %}\n        {%- if not loop.last %},{% endif -%}\n      {%- endfor %}\n    from {{ relation }}\n  {% endset %}\n\n  {% call statement('alter_column_type') %}\n    {{ create_table_as(False, relation, sql)}}\n  {%- endcall %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_columns_in_relation", "macro.dbt.statement", "macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.293795, "supported_languages": null}, "macro.dbt_bigquery.bigquery__test_unique": {"name": "bigquery__test_unique", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__test_unique", "macro_sql": "{% macro bigquery__test_unique(model, column_name) %}\n\nwith dbt_test__target as (\n\n  select {{ column_name }} as unique_field\n  from {{ model }}\n  where {{ column_name }} is not null\n\n)\n\nselect\n    unique_field,\n    count(*) as n_records\n\nfrom dbt_test__target\ngroup by unique_field\nhaving count(*) > 1\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.293972, "supported_languages": null}, "macro.dbt_bigquery.bigquery__upload_file": {"name": "bigquery__upload_file", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "unique_id": "macro.dbt_bigquery.bigquery__upload_file", "macro_sql": "{% macro bigquery__upload_file(local_file_path, database, table_schema, table_name) %}\n\n  {{ log(\"kwargs: \" ~ kwargs) }}\n\n  {% do adapter.upload_file(local_file_path, database, table_schema, table_name, kwargs=kwargs) %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.2942662, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_csv_table": {"name": "bigquery__create_csv_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_csv_table", "macro_sql": "{% macro bigquery__create_csv_table(model, agate_table) %}\n    -- no-op\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.294667, "supported_languages": null}, "macro.dbt_bigquery.bigquery__reset_csv_table": {"name": "bigquery__reset_csv_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "unique_id": "macro.dbt_bigquery.bigquery__reset_csv_table", "macro_sql": "{% macro bigquery__reset_csv_table(model, full_refresh, old_relation, agate_table) %}\n    {{ adapter.drop_relation(old_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.2948349, "supported_languages": null}, "macro.dbt_bigquery.bigquery__load_csv_rows": {"name": "bigquery__load_csv_rows", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "unique_id": "macro.dbt_bigquery.bigquery__load_csv_rows", "macro_sql": "{% macro bigquery__load_csv_rows(model, agate_table) %}\n\n  {%- set column_override = model['config'].get('column_types', {}) -%}\n  {{ adapter.load_dataframe(model['database'], model['schema'], model['alias'],\n  \t\t\t\t\t\t\tagate_table, column_override) }}\n\n  {% call statement() %}\n    alter table {{ this.render() }} set {{ bigquery_table_options(config, model) }}\n  {% endcall %}\n\n  {% if config.persist_relation_docs() and 'description' in model %}\n\n  \t{{ adapter.update_table_description(model['database'], model['schema'], model['alias'], model['description']) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_bigquery.bigquery_table_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.295646, "supported_languages": null}, "macro.dbt_bigquery.bigquery__handle_existing_table": {"name": "bigquery__handle_existing_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/view.sql", "original_file_path": "macros/materializations/view.sql", "unique_id": "macro.dbt_bigquery.bigquery__handle_existing_table", "macro_sql": "{% macro bigquery__handle_existing_table(full_refresh, old_relation) %}\n    {%- if full_refresh -%}\n      {{ adapter.drop_relation(old_relation) }}\n    {%- else -%}\n      {{ exceptions.relation_wrong_type(old_relation, 'view') }}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.296236, "supported_languages": null}, "macro.dbt_bigquery.materialization_view_bigquery": {"name": "materialization_view_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/view.sql", "original_file_path": "macros/materializations/view.sql", "unique_id": "macro.dbt_bigquery.materialization_view_bigquery", "macro_sql": "{% materialization view, adapter='bigquery' -%}\n    -- grab current tables grants config for comparision later on\n    {% set grant_config = config.get('grants') %}\n\n    {% set to_return = bigquery__create_or_replace_view() %}\n\n    {% set target_relation = this.incorporate(type='view') %}\n\n    {% do persist_docs(target_relation, model) %}\n\n    {% if config.get('grant_access_to') %}\n      {% for grant_target_dict in config.get('grant_access_to') %}\n        {% do adapter.grant_access_to(this, 'view', None, grant_target_dict) %}\n      {% endfor %}\n    {% endif %}\n\n    {% do return(to_return) %}\n\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_or_replace_view", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.29694, "supported_languages": ["sql"]}, "macro.dbt_bigquery.materialization_table_bigquery": {"name": "materialization_table_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/table.sql", "original_file_path": "macros/materializations/table.sql", "unique_id": "macro.dbt_bigquery.materialization_table_bigquery", "macro_sql": "{% materialization table, adapter='bigquery', supported_languages=['sql', 'python']-%}\n\n  {%- set language = model['language'] -%}\n  {%- set identifier = model['alias'] -%}\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n  {%- set exists_not_as_table = (old_relation is not none and not old_relation.is_table) -%}\n  {%- set target_relation = api.Relation.create(database=database, schema=schema, identifier=identifier, type='table') -%}\n\n  -- grab current tables grants config for comparision later on\n  {%- set grant_config = config.get('grants') -%}\n\n  {{ run_hooks(pre_hooks) }}\n\n  {#\n      We only need to drop this thing if it is not a table.\n      If it _is_ already a table, then we can overwrite it without downtime\n      Unlike table -> view, no need for `--full-refresh`: dropping a view is no big deal\n  #}\n  {%- if exists_not_as_table -%}\n      {{ adapter.drop_relation(old_relation) }}\n  {%- endif -%}\n\n  -- build model\n  {%- set raw_partition_by = config.get('partition_by', none) -%}\n  {%- set partition_by = adapter.parse_partition_by(raw_partition_by) -%}\n  {%- set cluster_by = config.get('cluster_by', none) -%}\n  {% if not adapter.is_replaceable(old_relation, partition_by, cluster_by) %}\n    {% do log(\"Hard refreshing \" ~ old_relation ~ \" because it is not replaceable\") %}\n    {% do adapter.drop_relation(old_relation) %}\n  {% endif %}\n\n  -- build model\n  {%- call statement('main', language=language) -%}\n    {{ create_table_as(False, target_relation, compiled_code, language) }}\n  {%- endcall -%}\n\n  {{ run_hooks(post_hooks) }}\n\n  {% set should_revoke = should_revoke(old_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.create_table_as", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.300837, "supported_languages": ["sql", "python"]}, "macro.dbt_bigquery.py_write_table": {"name": "py_write_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/table.sql", "original_file_path": "macros/materializations/table.sql", "unique_id": "macro.dbt_bigquery.py_write_table", "macro_sql": "{% macro py_write_table(compiled_code, target_relation) %}\nfrom pyspark.sql import SparkSession\n{%- set raw_partition_by = config.get('partition_by', none) -%}\n{%- set raw_cluster_by = config.get('cluster_by', none) -%}\n{%- set partition_config = adapter.parse_partition_by(raw_partition_by) %}\n\nspark = SparkSession.builder.appName('smallTest').getOrCreate()\n\nspark.conf.set(\"viewsEnabled\",\"true\")\nspark.conf.set(\"temporaryGcsBucket\",\"{{target.gcs_bucket}}\")\n\n{{ compiled_code }}\ndbt = dbtObj(spark.read.format(\"bigquery\").load)\ndf = model(dbt, spark)\n\n# COMMAND ----------\n# this is materialization code dbt generated, please do not modify\n\nimport pyspark\n# make sure pandas exists before using it\ntry:\n  import pandas\n  pandas_available = True\nexcept ImportError:\n  pandas_available = False\n\n# make sure pyspark.pandas exists before using it\ntry:\n  import pyspark.pandas\n  pyspark_pandas_api_available = True\nexcept ImportError:\n  pyspark_pandas_api_available = False\n\n# make sure databricks.koalas exists before using it\ntry:\n  import databricks.koalas\n  koalas_available = True\nexcept ImportError:\n  koalas_available = False\n\n# preferentially convert pandas DataFrames to pandas-on-Spark or Koalas DataFrames first\n# since they know how to convert pandas DataFrames better than `spark.createDataFrame(df)`\n# and converting from pandas-on-Spark to Spark DataFrame has no overhead\nif pyspark_pandas_api_available and pandas_available and isinstance(df, pandas.core.frame.DataFrame):\n  df = pyspark.pandas.frame.DataFrame(df)\nelif koalas_available and pandas_available and isinstance(df, pandas.core.frame.DataFrame):\n  df = databricks.koalas.frame.DataFrame(df)\n\n# convert to pyspark.sql.dataframe.DataFrame\nif isinstance(df, pyspark.sql.dataframe.DataFrame):\n  pass  # since it is already a Spark DataFrame\nelif pyspark_pandas_api_available and isinstance(df, pyspark.pandas.frame.DataFrame):\n  df = df.to_spark()\nelif koalas_available and isinstance(df, databricks.koalas.frame.DataFrame):\n  df = df.to_spark()\nelif pandas_available and isinstance(df, pandas.core.frame.DataFrame):\n  df = spark.createDataFrame(df)\nelse:\n  msg = f\"{type(df)} is not a supported type for dbt Python materialization\"\n  raise Exception(msg)\n\ndf.write \\\n  .mode(\"overwrite\") \\\n  .format(\"bigquery\") \\\n  .option(\"writeMethod\", \"indirect\").option(\"writeDisposition\", 'WRITE_TRUNCATE') \\\n  {%- if partition_config is not none %}\n  {%- if partition_config.data_type | lower in ('date','timestamp','datetime') %}\n  .option(\"partitionField\", \"{{- partition_config.field -}}\") \\\n  {%- if partition_config.granularity is not none %}\n  .option(\"partitionType\", \"{{- partition_config.granularity| upper -}}\") \\\n  {%- endif %}\n  {%- endif %}\n  {%- endif %}\n  {%- if raw_cluster_by is not none %}\n  .option(\"clusteredFields\", \"{{- raw_cluster_by | join(',') -}}\") \\\n  {%- endif %}\n  .save(\"{{target_relation}}\")\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.301888, "supported_languages": null}, "macro.dbt_bigquery.materialization_copy_bigquery": {"name": "materialization_copy_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/copy.sql", "original_file_path": "macros/materializations/copy.sql", "unique_id": "macro.dbt_bigquery.materialization_copy_bigquery", "macro_sql": "{% materialization copy, adapter='bigquery' -%}\n\n  {# Setup #}\n  {{ run_hooks(pre_hooks) }}\n\n  {% set destination = this.incorporate(type='table') %}\n\n  {# there can be several ref() or source() according to BQ copy API docs #}\n  {# cycle over ref() and source() to create source tables array #}\n  {% set source_array = [] %}\n  {% for ref_table in model.refs %}\n    {{ source_array.append(ref(ref_table.get('package'), ref_table.name, version=ref_table.get('version'))) }}\n  {% endfor %}\n\n  {% for src_table in model.sources %}\n    {{ source_array.append(source(*src_table)) }}\n  {% endfor %}\n\n  {# Call adapter copy_table function #}\n  {%- set result_str = adapter.copy_table(\n      source_array,\n      destination,\n      config.get('copy_materialization', default = 'table')) -%}\n\n  {{ store_result('main', response=result_str) }}\n\n  {# Clean up #}\n  {{ run_hooks(post_hooks) }}\n  {%- do apply_grants(target_relation, grant_config) -%}\n  {{ adapter.commit() }}\n\n  {{ return({'relations': [destination]}) }}\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3032398, "supported_languages": ["sql"]}, "macro.dbt_bigquery.dbt_bigquery_validate_get_incremental_strategy": {"name": "dbt_bigquery_validate_get_incremental_strategy", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.dbt_bigquery_validate_get_incremental_strategy", "macro_sql": "{% macro dbt_bigquery_validate_get_incremental_strategy(config) %}\n  {#-- Find and validate the incremental strategy #}\n  {%- set strategy = config.get(\"incremental_strategy\") or 'merge' -%}\n\n  {% set invalid_strategy_msg -%}\n    Invalid incremental strategy provided: {{ strategy }}\n    Expected one of: 'merge', 'insert_overwrite'\n  {%- endset %}\n  {% if strategy not in ['merge', 'insert_overwrite'] %}\n    {% do exceptions.raise_compiler_error(invalid_strategy_msg) %}\n  {% endif %}\n\n  {% do return(strategy) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.305415, "supported_languages": null}, "macro.dbt_bigquery.source_sql_with_partition": {"name": "source_sql_with_partition", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.source_sql_with_partition", "macro_sql": "{% macro source_sql_with_partition(partition_by, source_sql) %}\n\n  {%- if partition_by.time_ingestion_partitioning %}\n    {{ return(wrap_with_time_ingestion_partitioning_sql(partition_by, source_sql, False))  }}\n  {% else %}\n    {{ return(source_sql)  }}\n  {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3057122, "supported_languages": null}, "macro.dbt_bigquery.bq_create_table_as": {"name": "bq_create_table_as", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.bq_create_table_as", "macro_sql": "{% macro bq_create_table_as(partition_by, temporary, relation, compiled_code, language='sql') %}\n  {%- set _dbt_max_partition = declare_dbt_max_partition(this, partition_by, compiled_code, language) -%}\n  {% if partition_by.time_ingestion_partitioning and language == 'python' %}\n    {% do exceptions.raise_compiler_error(\n      \"Python models do not support ingestion time partitioning\"\n    ) %}\n  {% elif partition_by.time_ingestion_partitioning and language == 'sql' %}\n    {#-- Create the table before inserting data as ingestion time partitioned tables can't be created with the transformed data --#}\n    {% do run_query(create_table_as(temporary, relation, compiled_code)) %}\n    {{ return(_dbt_max_partition + bq_insert_into_ingestion_time_partitioned_table_sql(relation, compiled_code)) }}\n  {% else %}\n    {{ return(_dbt_max_partition + create_table_as(temporary, relation, compiled_code, language)) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.declare_dbt_max_partition", "macro.dbt.run_query", "macro.dbt.create_table_as", "macro.dbt_bigquery.bq_insert_into_ingestion_time_partitioned_table_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.306516, "supported_languages": null}, "macro.dbt_bigquery.bq_generate_incremental_build_sql": {"name": "bq_generate_incremental_build_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.bq_generate_incremental_build_sql", "macro_sql": "{% macro bq_generate_incremental_build_sql(\n    strategy, tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions, incremental_predicates\n) %}\n  {#-- if partitioned, use BQ scripting to get the range of partition values to be updated --#}\n  {% if strategy == 'insert_overwrite' %}\n\n    {% set build_sql = bq_generate_incremental_insert_overwrite_build_sql(\n        tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n    ) %}\n\n  {% else %} {# strategy == 'merge' #}\n\n    {% set build_sql = bq_generate_incremental_merge_build_sql(\n        tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, incremental_predicates\n    ) %}\n\n  {% endif %}\n\n  {{ return(build_sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_generate_incremental_insert_overwrite_build_sql", "macro.dbt_bigquery.bq_generate_incremental_merge_build_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3071842, "supported_languages": null}, "macro.dbt_bigquery.materialization_incremental_bigquery": {"name": "materialization_incremental_bigquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "unique_id": "macro.dbt_bigquery.materialization_incremental_bigquery", "macro_sql": "{% materialization incremental, adapter='bigquery', supported_languages=['sql', 'python'] -%}\n\n  {%- set unique_key = config.get('unique_key') -%}\n  {%- set full_refresh_mode = (should_full_refresh()) -%}\n  {%- set language = model['language'] %}\n\n  {%- set target_relation = this %}\n  {%- set existing_relation = load_relation(this) %}\n  {%- set tmp_relation = make_temp_relation(this) %}\n\n  {#-- Validate early so we don't run SQL if the strategy is invalid --#}\n  {% set strategy = dbt_bigquery_validate_get_incremental_strategy(config) -%}\n\n  {%- set raw_partition_by = config.get('partition_by', none) -%}\n  {%- set partition_by = adapter.parse_partition_by(raw_partition_by) -%}\n  {%- set partitions = config.get('partitions', none) -%}\n  {%- set cluster_by = config.get('cluster_by', none) -%}\n\n  {% set on_schema_change = incremental_validate_on_schema_change(config.get('on_schema_change'), default='ignore') %}\n  {% set incremental_predicates = config.get('predicates', default=none) or config.get('incremental_predicates', default=none) %}\n\n   -- grab current tables grants config for comparison later on\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks) }}\n\n  {% if partition_by.copy_partitions is true and strategy != 'insert_overwrite' %} {#-- We can't copy partitions with merge strategy --#}\n        {% set wrong_strategy_msg -%}\n        The 'copy_partitions' option requires the 'incremental_strategy' option to be set to 'insert_overwrite'.\n        {%- endset %}\n        {% do exceptions.raise_compiler_error(wrong_strategy_msg) %}\n\n  {% elif existing_relation is none %}\n      {%- call statement('main', language=language) -%}\n        {{ bq_create_table_as(partition_by, False, target_relation, compiled_code, language) }}\n      {%- endcall -%}\n\n  {% elif existing_relation.is_view %}\n      {#-- There's no way to atomically replace a view with a table on BQ --#}\n      {{ adapter.drop_relation(existing_relation) }}\n      {%- call statement('main', language=language) -%}\n        {{ bq_create_table_as(partition_by, False, target_relation, compiled_code, language) }}\n      {%- endcall -%}\n\n  {% elif full_refresh_mode %}\n      {#-- If the partition/cluster config has changed, then we must drop and recreate --#}\n      {% if not adapter.is_replaceable(existing_relation, partition_by, cluster_by) %}\n          {% do log(\"Hard refreshing \" ~ existing_relation ~ \" because it is not replaceable\") %}\n          {{ adapter.drop_relation(existing_relation) }}\n      {% endif %}\n      {%- call statement('main', language=language) -%}\n        {{ bq_create_table_as(partition_by, False, target_relation, compiled_code, language) }}\n      {%- endcall -%}\n\n  {% else %}\n    {%- if language == 'python' and strategy == 'insert_overwrite' -%}\n      {#-- This lets us move forward assuming no python will be directly templated into a query --#}\n      {%- set python_unsupported_msg -%}\n        The 'insert_overwrite' strategy is not yet supported for python models.\n      {%- endset %}\n      {% do exceptions.raise_compiler_error(python_unsupported_msg) %}\n    {%- endif -%}\n\n    {% set tmp_relation_exists = false %}\n    {% if on_schema_change != 'ignore' or language == 'python' %}\n      {#-- Check first, since otherwise we may not build a temp table --#}\n      {#-- Python always needs to create a temp table --#}\n      {%- call statement('create_tmp_relation', language=language) -%}\n        {{ bq_create_table_as(partition_by, True, tmp_relation, compiled_code, language) }}\n      {%- endcall -%}\n      {% set tmp_relation_exists = true %}\n      {#-- Process schema changes. Returns dict of changes if successful. Use source columns for upserting/merging --#}\n      {% set dest_columns = process_schema_changes(on_schema_change, tmp_relation, existing_relation) %}\n    {% endif %}\n\n    {% if not dest_columns %}\n      {% set dest_columns = adapter.get_columns_in_relation(existing_relation) %}\n    {% endif %}\n    {#--  Add time ingestion pseudo column to destination column as not part of the 'schema' but still need it for actual data insertion --#}\n    {% if partition_by.time_ingestion_partitioning %}\n      {% set dest_columns = adapter.add_time_ingestion_partition_column(partition_by, dest_columns) %}\n    {% endif %}\n\n    {% set build_sql = bq_generate_incremental_build_sql(\n        strategy, tmp_relation, target_relation, compiled_code, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, partition_by.copy_partitions, incremental_predicates\n    ) %}\n\n    {%- call statement('main') -%}\n      {{ build_sql }}\n    {% endcall %}\n\n    {%- if language == 'python' and tmp_relation -%}\n      {{ adapter.drop_relation(tmp_relation) }}\n    {%- endif -%}\n\n  {% endif %}\n\n  {{ run_hooks(post_hooks) }}\n\n  {% set target_relation = this.incorporate(type='table') %}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh", "macro.dbt.load_relation", "macro.dbt.make_temp_relation", "macro.dbt_bigquery.dbt_bigquery_validate_get_incremental_strategy", "macro.dbt.incremental_validate_on_schema_change", "macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt_bigquery.bq_create_table_as", "macro.dbt.process_schema_changes", "macro.dbt_bigquery.bq_generate_incremental_build_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.311372, "supported_languages": ["sql", "python"]}, "macro.dbt_bigquery.bigquery__snapshot_hash_arguments": {"name": "bigquery__snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/snapshot.sql", "original_file_path": "macros/materializations/snapshot.sql", "unique_id": "macro.dbt_bigquery.bigquery__snapshot_hash_arguments", "macro_sql": "{% macro bigquery__snapshot_hash_arguments(args) -%}\n  to_hex(md5(concat({%- for arg in args -%}\n    coalesce(cast({{ arg }} as string), ''){% if not loop.last %}, '|',{% endif -%}\n  {%- endfor -%}\n  )))\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.311797, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_columns": {"name": "bigquery__create_columns", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/snapshot.sql", "original_file_path": "macros/materializations/snapshot.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_columns", "macro_sql": "{% macro bigquery__create_columns(relation, columns) %}\n  {{ adapter.alter_table_add_columns(relation, columns) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3119621, "supported_languages": null}, "macro.dbt_bigquery.bigquery__post_snapshot": {"name": "bigquery__post_snapshot", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/snapshot.sql", "original_file_path": "macros/materializations/snapshot.sql", "unique_id": "macro.dbt_bigquery.bigquery__post_snapshot", "macro_sql": "{% macro bigquery__post_snapshot(staging_relation) %}\n  -- Clean up the snapshot temp table\n  {% do drop_relation(staging_relation) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.drop_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3121028, "supported_languages": null}, "macro.dbt_bigquery.bigquery__can_clone_table": {"name": "bigquery__can_clone_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/clone.sql", "original_file_path": "macros/materializations/clone.sql", "unique_id": "macro.dbt_bigquery.bigquery__can_clone_table", "macro_sql": "{% macro bigquery__can_clone_table() %}\n    {{ return(True) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.312304, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_or_replace_clone": {"name": "bigquery__create_or_replace_clone", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/clone.sql", "original_file_path": "macros/materializations/clone.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_or_replace_clone", "macro_sql": "{% macro bigquery__create_or_replace_clone(this_relation, defer_relation) %}\n    create or replace\n      table {{ this_relation }}\n      clone {{ defer_relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.312445, "supported_languages": null}, "macro.dbt_bigquery.bq_generate_incremental_merge_build_sql": {"name": "bq_generate_incremental_merge_build_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/merge.sql", "original_file_path": "macros/materializations/incremental_strategy/merge.sql", "unique_id": "macro.dbt_bigquery.bq_generate_incremental_merge_build_sql", "macro_sql": "{% macro bq_generate_incremental_merge_build_sql(\n    tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, incremental_predicates\n) %}\n    {%- set source_sql -%}\n        {%- if tmp_relation_exists -%}\n        (\n        select\n        {% if partition_by.time_ingestion_partitioning -%}\n        {{ partition_by.insertable_time_partitioning_field() }},\n        {%- endif -%}\n        * from {{ tmp_relation }}\n        )\n        {%- else -%} {#-- wrap sql in parens to make it a subquery --#}\n        (\n            {%- if partition_by.time_ingestion_partitioning -%}\n            {{ wrap_with_time_ingestion_partitioning_sql(partition_by, sql, True) }}\n            {%- else -%}\n            {{sql}}\n            {%- endif %}\n        )\n        {%- endif -%}\n    {%- endset -%}\n\n    {% set build_sql = get_merge_sql(target_relation, source_sql, unique_key, dest_columns, incremental_predicates) %}\n\n    {{ return(build_sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro.dbt.get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3133981, "supported_languages": null}, "macro.dbt_bigquery.declare_dbt_max_partition": {"name": "declare_dbt_max_partition", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/common.sql", "original_file_path": "macros/materializations/incremental_strategy/common.sql", "unique_id": "macro.dbt_bigquery.declare_dbt_max_partition", "macro_sql": "{% macro declare_dbt_max_partition(relation, partition_by, compiled_code, language='sql') %}\n\n  {#-- TODO: revisit partitioning with python models --#}\n  {%- if '_dbt_max_partition' in compiled_code and language == 'sql' -%}\n\n    declare _dbt_max_partition {{ partition_by.data_type_for_partition() }} default (\n      select max({{ partition_by.field }}) from {{ this }}\n      where {{ partition_by.field }} is not null\n    );\n\n  {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3138611, "supported_languages": null}, "macro.dbt_bigquery.bq_generate_incremental_insert_overwrite_build_sql": {"name": "bq_generate_incremental_insert_overwrite_build_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_generate_incremental_insert_overwrite_build_sql", "macro_sql": "{% macro bq_generate_incremental_insert_overwrite_build_sql(\n    tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n) %}\n    {% if partition_by is none %}\n      {% set missing_partition_msg -%}\n      The 'insert_overwrite' strategy requires the `partition_by` config.\n      {%- endset %}\n      {% do exceptions.raise_compiler_error(missing_partition_msg) %}\n    {% endif %}\n\n    {% set build_sql = bq_insert_overwrite_sql(\n        tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n    ) %}\n\n    {{ return(build_sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_insert_overwrite_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.316828, "supported_languages": null}, "macro.dbt_bigquery.bq_copy_partitions": {"name": "bq_copy_partitions", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_copy_partitions", "macro_sql": "{% macro bq_copy_partitions(tmp_relation, target_relation, partitions, partition_by) %}\n\n  {% for partition in partitions %}\n    {% if partition_by.data_type == 'int64' %}\n      {% set partition = partition | as_text %}\n    {% elif partition_by.granularity == 'hour' %}\n      {% set partition = partition.strftime(\"%Y%m%d%H\") %}\n    {% elif partition_by.granularity == 'day' %}\n      {% set partition = partition.strftime(\"%Y%m%d\") %}\n    {% elif partition_by.granularity == 'month' %}\n      {% set partition = partition.strftime(\"%Y%m\") %}\n    {% elif partition_by.granularity == 'year' %}\n      {% set partition = partition.strftime(\"%Y\") %}\n    {% endif %}\n    {% set tmp_relation_partitioned = api.Relation.create(database=tmp_relation.database, schema=tmp_relation.schema, identifier=tmp_relation.table ~ '$' ~ partition, type=tmp_relation.type) %}\n    {% set target_relation_partitioned = api.Relation.create(database=target_relation.database, schema=target_relation.schema, identifier=target_relation.table ~ '$' ~ partition, type=target_relation.type) %}\n    {% do adapter.copy_table(tmp_relation_partitioned, target_relation_partitioned, \"table\") %}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3182569, "supported_languages": null}, "macro.dbt_bigquery.bq_insert_overwrite_sql": {"name": "bq_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_insert_overwrite_sql", "macro_sql": "{% macro bq_insert_overwrite_sql(\n    tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n) %}\n  {% if partitions is not none and partitions != [] %} {# static #}\n      {{ bq_static_insert_overwrite_sql(tmp_relation, target_relation, sql, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions) }}\n  {% else %} {# dynamic #}\n      {{ bq_dynamic_insert_overwrite_sql(tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_static_insert_overwrite_sql", "macro.dbt_bigquery.bq_dynamic_insert_overwrite_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.318885, "supported_languages": null}, "macro.dbt_bigquery.bq_static_insert_overwrite_sql": {"name": "bq_static_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_static_insert_overwrite_sql", "macro_sql": "{% macro bq_static_insert_overwrite_sql(\n    tmp_relation, target_relation, sql, partition_by, partitions, dest_columns, tmp_relation_exists, copy_partitions\n) %}\n\n      {% set predicate -%}\n          {{ partition_by.render_wrapped(alias='DBT_INTERNAL_DEST') }} in (\n              {{ partitions | join (', ') }}\n          )\n      {%- endset %}\n\n      {%- set source_sql -%}\n        (\n          {% if partition_by.time_ingestion_partitioning and tmp_relation_exists -%}\n          select\n            {{ partition_by.insertable_time_partitioning_field() }},\n            * from {{ tmp_relation }}\n          {% elif tmp_relation_exists -%}\n            select\n            * from {{ tmp_relation }}\n          {%- elif partition_by.time_ingestion_partitioning -%}\n            {{ wrap_with_time_ingestion_partitioning_sql(partition_by, sql, True) }}\n          {%- else -%}\n            {{sql}}\n          {%- endif -%}\n\n        )\n      {%- endset -%}\n\n      {% if copy_partitions %}\n          {% do bq_copy_partitions(tmp_relation, target_relation, partitions, partition_by) %}\n      {% else %}\n\n      {#-- In case we're putting the model SQL _directly_ into the MERGE statement,\n         we need to prepend the MERGE statement with the user-configured sql_header,\n         which may be needed to resolve that model SQL (e.g. referencing a variable or UDF in the header)\n         in the \"temporary table exists\" case, we save the model SQL result as a temp table first, wherein the\n         sql_header is included by the create_table_as macro.\n      #}\n      -- 1. run the merge statement\n      {{ get_insert_overwrite_merge_sql(target_relation, source_sql, dest_columns, [predicate], include_sql_header = not tmp_relation_exists) }};\n\n      {%- if tmp_relation_exists -%}\n      -- 2. clean up the temp table\n      drop table if exists {{ tmp_relation }};\n      {%- endif -%}\n\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro.dbt_bigquery.bq_copy_partitions", "macro.dbt.get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.320022, "supported_languages": null}, "macro.dbt_bigquery.bq_dynamic_copy_partitions_insert_overwrite_sql": {"name": "bq_dynamic_copy_partitions_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_dynamic_copy_partitions_insert_overwrite_sql", "macro_sql": "{% macro bq_dynamic_copy_partitions_insert_overwrite_sql(\n  tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions\n  ) %}\n  {%- if tmp_relation_exists is false -%}\n  {# We run temp table creation in a separated script to move to partitions copy if it doesn't already exist #}\n    {%- call statement('create_tmp_relation_for_copy', language='sql') -%}\n      {{ bq_create_table_as(partition_by, True, tmp_relation, sql, 'sql')\n    }}\n    {%- endcall %}\n  {%- endif -%}\n  {%- set partitions_sql -%}\n    select distinct {{ partition_by.render_wrapped() }}\n    from {{ tmp_relation }}\n  {%- endset -%}\n  {%- set partitions = run_query(partitions_sql).columns[0].values() -%}\n  {# We copy the partitions #}\n  {%- do bq_copy_partitions(tmp_relation, target_relation, partitions, partition_by) -%}\n  -- Clean up the temp table\n  drop table if exists {{ tmp_relation }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_bigquery.bq_create_table_as", "macro.dbt.run_query", "macro.dbt_bigquery.bq_copy_partitions"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.320818, "supported_languages": null}, "macro.dbt_bigquery.bq_dynamic_insert_overwrite_sql": {"name": "bq_dynamic_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "original_file_path": "macros/materializations/incremental_strategy/insert_overwrite.sql", "unique_id": "macro.dbt_bigquery.bq_dynamic_insert_overwrite_sql", "macro_sql": "{% macro bq_dynamic_insert_overwrite_sql(tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions) %}\n  {%- if copy_partitions is true %}\n     {{ bq_dynamic_copy_partitions_insert_overwrite_sql(tmp_relation, target_relation, sql, unique_key, partition_by, dest_columns, tmp_relation_exists, copy_partitions) }}\n  {% else -%}\n      {% set predicate -%}\n          {{ partition_by.render_wrapped(alias='DBT_INTERNAL_DEST') }} in unnest(dbt_partitions_for_replacement)\n      {%- endset %}\n\n      {%- set source_sql -%}\n      (\n        select\n        {% if partition_by.time_ingestion_partitioning -%}\n        {{ partition_by.insertable_time_partitioning_field() }},\n        {%- endif -%}\n        * from {{ tmp_relation }}\n      )\n      {%- endset -%}\n\n      -- generated script to merge partitions into {{ target_relation }}\n      declare dbt_partitions_for_replacement array<{{ partition_by.data_type_for_partition() }}>;\n\n      {# have we already created the temp table to check for schema changes? #}\n      {% if not tmp_relation_exists %}\n       -- 1. create a temp table with model data\n        {{ bq_create_table_as(partition_by, True, tmp_relation, sql, 'sql') }}\n      {% else %}\n        -- 1. temp table already exists, we used it to check for schema changes\n      {% endif %}\n      {%- set partition_field = partition_by.time_partitioning_field() if partition_by.time_ingestion_partitioning else partition_by.render_wrapped() -%}\n\n      -- 2. define partitions to update\n      set (dbt_partitions_for_replacement) = (\n          select as struct\n              -- IGNORE NULLS: this needs to be aligned to _dbt_max_partition, which ignores null\n              array_agg(distinct {{ partition_field }} IGNORE NULLS)\n          from {{ tmp_relation }}\n      );\n\n      -- 3. run the merge statement\n      {{ get_insert_overwrite_merge_sql(target_relation, source_sql, dest_columns, [predicate]) }};\n\n      -- 4. clean up the temp table\n      drop table if exists {{ tmp_relation }}\n\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bq_dynamic_copy_partitions_insert_overwrite_sql", "macro.dbt_bigquery.bq_create_table_as", "macro.dbt.get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.322051, "supported_languages": null}, "macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql": {"name": "wrap_with_time_ingestion_partitioning_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql", "macro_sql": "{% macro wrap_with_time_ingestion_partitioning_sql(partition_by, sql, is_nested) %}\n\n  select TIMESTAMP({{ partition_by.field }}) as {{ partition_by.insertable_time_partitioning_field() }}, * EXCEPT({{ partition_by.field }}) from (\n    {{ sql }}\n  ){%- if not is_nested -%};{%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.323552, "supported_languages": null}, "macro.dbt_bigquery.get_quoted_with_types_csv": {"name": "get_quoted_with_types_csv", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.get_quoted_with_types_csv", "macro_sql": "{% macro get_quoted_with_types_csv(columns) %}\n    {% set quoted = [] %}\n    {% for col in columns -%}\n        {%- do quoted.append(adapter.quote(col.name) ~ \" \" ~ col.data_type) -%}\n    {%- endfor %}\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3240168, "supported_languages": null}, "macro.dbt_bigquery.columns_without_partition_fields_csv": {"name": "columns_without_partition_fields_csv", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.columns_without_partition_fields_csv", "macro_sql": "{% macro columns_without_partition_fields_csv(partition_config, columns) -%}\n  {%- set columns_no_partition = partition_config.reject_partition_field_column(columns) -%}\n  {% set columns_names = get_quoted_with_types_csv(columns_no_partition) %}\n  {{ return(columns_names) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.get_quoted_with_types_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3243032, "supported_languages": null}, "macro.dbt_bigquery.bq_insert_into_ingestion_time_partitioned_table_sql": {"name": "bq_insert_into_ingestion_time_partitioned_table_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.bq_insert_into_ingestion_time_partitioned_table_sql", "macro_sql": "{% macro bq_insert_into_ingestion_time_partitioned_table_sql(target_relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n  {{ sql_header if sql_header is not none }}\n  {%- set raw_partition_by = config.get('partition_by', none) -%}\n  {%- set partition_by = adapter.parse_partition_by(raw_partition_by) -%}\n  {% set dest_columns = adapter.get_columns_in_relation(target_relation) %}\n  {%- set dest_columns_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n  insert into {{ target_relation }} ({{ partition_by.insertable_time_partitioning_field() }}, {{ dest_columns_csv }})\n    {{ wrap_with_time_ingestion_partitioning_sql(partition_by, sql, False) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.get_quoted_csv", "macro.dbt_bigquery.wrap_with_time_ingestion_partitioning_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.325014, "supported_languages": null}, "macro.dbt_bigquery.get_columns_with_types_in_query_sql": {"name": "get_columns_with_types_in_query_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "original_file_path": "macros/materializations/incremental_strategy/time_ingestion_tables.sql", "unique_id": "macro.dbt_bigquery.get_columns_with_types_in_query_sql", "macro_sql": "{% macro get_columns_with_types_in_query_sql(select_sql) %}\n  {% set sql %}\n    {%- set sql_header = config.get('sql_header', none) -%}\n    {{ sql_header if sql_header is not none }}\n    select * from (\n      {{ select_sql }}\n    ) as __dbt_sbq\n    where false\n    limit 0\n  {% endset %}\n  {{ return(adapter.get_columns_in_select_sql(sql)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.325393, "supported_languages": null}, "macro.dbt_bigquery.bigquery__drop_relation": {"name": "bigquery__drop_relation", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/drop.sql", "original_file_path": "macros/relations/drop.sql", "unique_id": "macro.dbt_bigquery.bigquery__drop_relation", "macro_sql": "{% macro bigquery__drop_relation(relation) -%}\n    {% do adapter.drop_relation(relation) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3255732, "supported_languages": null}, "macro.dbt_bigquery.bigquery_options": {"name": "bigquery_options", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/options.sql", "original_file_path": "macros/relations/options.sql", "unique_id": "macro.dbt_bigquery.bigquery_options", "macro_sql": "{% macro bigquery_options(opts) %}\n  {% set options -%}\n    OPTIONS({% for opt_key, opt_val in opts.items() %}\n      {{ opt_key }}={{ opt_val }}{{ \",\" if not loop.last }}\n    {% endfor %})\n  {%- endset %}\n  {%- do return(options) -%}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3260422, "supported_languages": null}, "macro.dbt_bigquery.cluster_by": {"name": "cluster_by", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/cluster.sql", "original_file_path": "macros/relations/cluster.sql", "unique_id": "macro.dbt_bigquery.cluster_by", "macro_sql": "{% macro cluster_by(raw_cluster_by) %}\n  {%- if raw_cluster_by is not none -%}\n  cluster by {% if raw_cluster_by is string -%}\n    {% set raw_cluster_by = [raw_cluster_by] %}\n  {%- endif -%}\n  {%- for cluster in raw_cluster_by -%}\n    {{ cluster }}\n    {%- if not loop.last -%}, {% endif -%}\n  {%- endfor -%}\n\n  {% endif %}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.326547, "supported_languages": null}, "macro.dbt_bigquery.bigquery__rename_relation": {"name": "bigquery__rename_relation", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/rename.sql", "original_file_path": "macros/relations/rename.sql", "unique_id": "macro.dbt_bigquery.bigquery__rename_relation", "macro_sql": "{% macro bigquery__rename_relation(from_relation, to_relation) -%}\n  {% do adapter.rename_relation(from_relation, to_relation) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.326748, "supported_languages": null}, "macro.dbt_bigquery.partition_by": {"name": "partition_by", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/partition.sql", "original_file_path": "macros/relations/partition.sql", "unique_id": "macro.dbt_bigquery.partition_by", "macro_sql": "{% macro partition_by(partition_config) -%}\n    {%- if partition_config is none -%}\n      {% do return('') %}\n    {%- elif partition_config.time_ingestion_partitioning -%}\n        partition by {{ partition_config.render_wrapped() }}\n    {%- elif partition_config.data_type | lower in ('date','timestamp','datetime') -%}\n        partition by {{ partition_config.render() }}\n    {%- elif partition_config.data_type | lower in ('int64') -%}\n        {%- set range = partition_config.range -%}\n        partition by range_bucket(\n            {{ partition_config.field }},\n            generate_array({{ range.start}}, {{ range.end }}, {{ range.interval }})\n        )\n    {%- endif -%}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.327631, "supported_languages": null}, "macro.dbt_bigquery.bigquery__drop_materialized_view": {"name": "bigquery__drop_materialized_view", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/materialized_view/drop.sql", "original_file_path": "macros/relations/materialized_view/drop.sql", "unique_id": "macro.dbt_bigquery.bigquery__drop_materialized_view", "macro_sql": "{% macro bigquery__drop_materialized_view(relation) %}\n    drop materialized view if exists {{ relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.327779, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_replace_materialized_view_as_sql": {"name": "bigquery__get_replace_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/materialized_view/replace.sql", "original_file_path": "macros/relations/materialized_view/replace.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_replace_materialized_view_as_sql", "macro_sql": "{% macro bigquery__get_replace_materialized_view_as_sql(relation, sql) %}\n\n    {%- set materialized_view = adapter.Relation.materialized_view_from_model_node(config.model) -%}\n\n    create or replace materialized view if not exists {{ relation }}\n    {% if materialized_view.partition %}{{ partition_by(materialized_view.partition) }}{% endif %}\n    {% if materialized_view.cluster %}{{ cluster_by(materialized_view.cluster.fields) }}{% endif %}\n    {{ bigquery_options(materialized_view.options.as_ddl_dict()) }}\n    as {{ sql }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.partition_by", "macro.dbt_bigquery.cluster_by", "macro.dbt_bigquery.bigquery_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.328418, "supported_languages": null}, "macro.dbt_bigquery.bigquery__refresh_materialized_view": {"name": "bigquery__refresh_materialized_view", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/materialized_view/refresh.sql", "original_file_path": "macros/relations/materialized_view/refresh.sql", "unique_id": "macro.dbt_bigquery.bigquery__refresh_materialized_view", "macro_sql": "{% macro bigquery__refresh_materialized_view(relation) %}\n    call bq.refresh_materialized_view('{{ relation.database }}.{{ relation.schema }}.{{ relation.identifier }}')\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.328643, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_alter_materialized_view_as_sql": {"name": "bigquery__get_alter_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/materialized_view/alter.sql", "original_file_path": "macros/relations/materialized_view/alter.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_alter_materialized_view_as_sql", "macro_sql": "{% macro bigquery__get_alter_materialized_view_as_sql(\n    relation,\n    configuration_changes,\n    sql,\n    existing_relation,\n    backup_relation,\n    intermediate_relation\n) %}\n\n    {% if configuration_changes.requires_full_refresh %}\n        {{ get_replace_sql(existing_relation, relation, sql) }}\n    {% else %}\n\n        alter materialized view {{ relation }}\n            set {{ bigquery_options(configuration_changes.options.context.as_ddl_dict()) }}\n\n    {%- endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_replace_sql", "macro.dbt_bigquery.bigquery_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.329257, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_materialized_view_configuration_changes": {"name": "bigquery__get_materialized_view_configuration_changes", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/materialized_view/alter.sql", "original_file_path": "macros/relations/materialized_view/alter.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_materialized_view_configuration_changes", "macro_sql": "{% macro bigquery__get_materialized_view_configuration_changes(existing_relation, new_config) %}\n    {% set _existing_materialized_view = adapter.describe_relation(existing_relation) %}\n    {% set _configuration_changes = existing_relation.materialized_view_config_changeset(_existing_materialized_view, new_config) %}\n    {% do return(_configuration_changes) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3295732, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_create_materialized_view_as_sql": {"name": "bigquery__get_create_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/materialized_view/create.sql", "original_file_path": "macros/relations/materialized_view/create.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_create_materialized_view_as_sql", "macro_sql": "{% macro bigquery__get_create_materialized_view_as_sql(relation, sql) %}\n\n    {%- set materialized_view = adapter.Relation.materialized_view_from_model_node(config.model) -%}\n\n    create materialized view if not exists {{ relation }}\n    {% if materialized_view.partition %}{{ partition_by(materialized_view.partition) }}{% endif %}\n    {% if materialized_view.cluster %}{{ cluster_by(materialized_view.cluster.fields) }}{% endif %}\n    {{ bigquery_options(materialized_view.options.as_ddl_dict()) }}\n    as {{ sql }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.partition_by", "macro.dbt_bigquery.cluster_by", "macro.dbt_bigquery.bigquery_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3302069, "supported_languages": null}, "macro.dbt_bigquery.bigquery__drop_table": {"name": "bigquery__drop_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/table/drop.sql", "original_file_path": "macros/relations/table/drop.sql", "unique_id": "macro.dbt_bigquery.bigquery__drop_table", "macro_sql": "{% macro bigquery__drop_table(relation) %}\n    drop table if exists {{ relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3303459, "supported_languages": null}, "macro.dbt_bigquery.bigquery_table_options": {"name": "bigquery_table_options", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/table/options.sql", "original_file_path": "macros/relations/table/options.sql", "unique_id": "macro.dbt_bigquery.bigquery_table_options", "macro_sql": "{% macro bigquery_table_options(config, node, temporary) %}\n  {% set opts = adapter.get_table_options(config, node, temporary) %}\n  {%- do return(bigquery_options(opts)) -%}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.330654, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_rename_table_sql": {"name": "bigquery__get_rename_table_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/table/rename.sql", "original_file_path": "macros/relations/table/rename.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_rename_table_sql", "macro_sql": "{%- macro bigquery__get_rename_table_sql(relation, new_name) -%}\n    alter table {{ relation }} rename to {{ new_name }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.330833, "supported_languages": null}, "macro.dbt_bigquery.bigquery__drop_view": {"name": "bigquery__drop_view", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/view/drop.sql", "original_file_path": "macros/relations/view/drop.sql", "unique_id": "macro.dbt_bigquery.bigquery__drop_view", "macro_sql": "{% macro bigquery__drop_view(relation) %}\n    drop view if exists {{ relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.330969, "supported_languages": null}, "macro.dbt_bigquery.bigquery__create_or_replace_view": {"name": "bigquery__create_or_replace_view", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/view/replace.sql", "original_file_path": "macros/relations/view/replace.sql", "unique_id": "macro.dbt_bigquery.bigquery__create_or_replace_view", "macro_sql": "{% macro bigquery__create_or_replace_view() %}\n  {%- set identifier = model['alias'] -%}\n\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n  {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n  {%- set target_relation = api.Relation.create(\n      identifier=identifier, schema=schema, database=database,\n      type='view') -%}\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks) }}\n\n  -- If there's a table with the same name and we weren't told to full refresh,\n  -- that's an error. If we were told to full refresh, drop it. This behavior differs\n  -- for Snowflake and BigQuery, so multiple dispatch is used.\n  {%- if old_relation is not none and not old_relation.is_view -%}\n    {{ handle_existing_table(should_full_refresh(), old_relation) }}\n  {%- endif -%}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_view_as_sql(target_relation, sql) }}\n  {%- endcall %}\n\n  {% set should_revoke = should_revoke(exists_as_view, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {{ run_hooks(post_hooks) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt_bigquery.handle_existing_table", "macro.dbt.should_full_refresh", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.332852, "supported_languages": null}, "macro.dbt_bigquery.handle_existing_table": {"name": "handle_existing_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/view/replace.sql", "original_file_path": "macros/relations/view/replace.sql", "unique_id": "macro.dbt_bigquery.handle_existing_table", "macro_sql": "{% macro handle_existing_table(full_refresh, old_relation) %}\n    {{ adapter.dispatch('handle_existing_table', 'dbt')(full_refresh, old_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__handle_existing_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.333066, "supported_languages": null}, "macro.dbt_bigquery.default__handle_existing_table": {"name": "default__handle_existing_table", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/view/replace.sql", "original_file_path": "macros/relations/view/replace.sql", "unique_id": "macro.dbt_bigquery.default__handle_existing_table", "macro_sql": "{% macro default__handle_existing_table(full_refresh, old_relation) %}\n    {{ log(\"Dropping relation \" ~ old_relation ~ \" because it is of type \" ~ old_relation.type) }}\n    {{ adapter.drop_relation(old_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.333299, "supported_languages": null}, "macro.dbt_bigquery.bigquery_view_options": {"name": "bigquery_view_options", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/view/options.sql", "original_file_path": "macros/relations/view/options.sql", "unique_id": "macro.dbt_bigquery.bigquery_view_options", "macro_sql": "{% macro bigquery_view_options(config, node) %}\n  {% set opts = adapter.get_view_options(config, node) %}\n  {%- do return(bigquery_options(opts)) -%}\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery_options"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3335838, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_rename_view_sql": {"name": "bigquery__get_rename_view_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/relations/view/rename.sql", "original_file_path": "macros/relations/view/rename.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_rename_view_sql", "macro_sql": "{%- macro bigquery__get_rename_view_sql(relation, new_name) -%}\n    alter view {{ relation }} rename to {{ new_name }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.333767, "supported_languages": null}, "macro.dbt_bigquery.bigquery__except": {"name": "bigquery__except", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt_bigquery.bigquery__except", "macro_sql": "{% macro bigquery__except() %}\n\n    except distinct\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.333868, "supported_languages": null}, "macro.dbt_bigquery.bigquery__dateadd": {"name": "bigquery__dateadd", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt_bigquery.bigquery__dateadd", "macro_sql": "{% macro bigquery__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n        datetime_add(\n            cast( {{ from_date_or_timestamp }} as datetime),\n        interval {{ interval }} {{ datepart }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3340979, "supported_languages": null}, "macro.dbt_bigquery.bigquery__current_timestamp": {"name": "bigquery__current_timestamp", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/timestamps.sql", "original_file_path": "macros/utils/timestamps.sql", "unique_id": "macro.dbt_bigquery.bigquery__current_timestamp", "macro_sql": "{% macro bigquery__current_timestamp() -%}\n  current_timestamp()\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3342662, "supported_languages": null}, "macro.dbt_bigquery.bigquery__snapshot_string_as_time": {"name": "bigquery__snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/timestamps.sql", "original_file_path": "macros/utils/timestamps.sql", "unique_id": "macro.dbt_bigquery.bigquery__snapshot_string_as_time", "macro_sql": "{% macro bigquery__snapshot_string_as_time(timestamp) -%}\n    {%- set result = 'TIMESTAMP(\"' ~ timestamp ~ '\")' -%}\n    {{ return(result) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3344672, "supported_languages": null}, "macro.dbt_bigquery.bigquery__current_timestamp_backcompat": {"name": "bigquery__current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/timestamps.sql", "original_file_path": "macros/utils/timestamps.sql", "unique_id": "macro.dbt_bigquery.bigquery__current_timestamp_backcompat", "macro_sql": "{% macro bigquery__current_timestamp_backcompat() -%}\n  current_timestamp\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.334547, "supported_languages": null}, "macro.dbt_bigquery.bigquery__intersect": {"name": "bigquery__intersect", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt_bigquery.bigquery__intersect", "macro_sql": "{% macro bigquery__intersect() %}\n\n    intersect distinct\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.334656, "supported_languages": null}, "macro.dbt_bigquery.bigquery__escape_single_quotes": {"name": "bigquery__escape_single_quotes", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt_bigquery.bigquery__escape_single_quotes", "macro_sql": "{% macro bigquery__escape_single_quotes(expression) -%}\n{{ expression | replace(\"'\", \"\\\\'\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3348448, "supported_languages": null}, "macro.dbt_bigquery.bigquery__format_column": {"name": "bigquery__format_column", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__format_column", "macro_sql": "{% macro bigquery__format_column(column) -%}\n  {% set data_type = column.data_type %}\n  {% set formatted = column.column.lower() ~ \" \" ~ data_type %}\n  {{ return({'name': column.name, 'data_type': data_type, 'formatted': formatted}) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.335716, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_empty_schema_sql": {"name": "bigquery__get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_empty_schema_sql", "macro_sql": "{% macro bigquery__get_empty_schema_sql(columns) %}\n    {%- set col_err = [] -%}\n    {% for col in columns.values() %}\n      {%- if col['data_type'] is not defined -%}\n        {{ col_err.append(col['name']) }}\n      {%- endif -%}\n    {%- endfor -%}\n    {%- if (col_err | length) > 0 -%}\n      {{ exceptions.column_type_missing(column_names=col_err) }}\n    {%- endif -%}\n\n    {%- set columns = adapter.nest_column_data_types(columns) -%}\n    {{ return(dbt.default__get_empty_schema_sql(columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_empty_schema_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.336331, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_select_subquery": {"name": "bigquery__get_select_subquery", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_select_subquery", "macro_sql": "{% macro bigquery__get_select_subquery(sql) %}\n    select {{ adapter.dispatch('get_column_names')() }}\n    from (\n        {{ sql }}\n    ) as model_subq\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_column_names"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.336511, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_column_names": {"name": "bigquery__get_column_names", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/get_columns_spec_ddl.sql", "original_file_path": "macros/utils/get_columns_spec_ddl.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_column_names", "macro_sql": "{% macro bigquery__get_column_names() %}\n  {#- loop through nested user_provided_columns to get column names -#}\n    {%- set user_provided_columns = adapter.nest_column_data_types(model['columns']) -%}\n    {%- for i in user_provided_columns %}\n      {%- set col = user_provided_columns[i] -%}\n      {%- set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] -%}\n      {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.337016, "supported_languages": null}, "macro.dbt_bigquery.bigquery__right": {"name": "bigquery__right", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt_bigquery.bigquery__right", "macro_sql": "{% macro bigquery__right(string_text, length_expression) %}\n\n    case when {{ length_expression }} = 0\n        then ''\n    else\n        substr(\n            {{ string_text }},\n            -1 * ({{ length_expression }})\n        )\n    end\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.337258, "supported_languages": null}, "macro.dbt_bigquery.bigquery__listagg": {"name": "bigquery__listagg", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt_bigquery.bigquery__listagg", "macro_sql": "{% macro bigquery__listagg(measure, delimiter_text, order_by_clause, limit_num) -%}\n\n    string_agg(\n        {{ measure }},\n        {{ delimiter_text }}\n        {% if order_by_clause -%}\n        {{ order_by_clause }}\n        {%- endif %}\n        {% if limit_num -%}\n        limit {{ limit_num }}\n        {%- endif %}\n        )\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3376682, "supported_languages": null}, "macro.dbt_bigquery.bigquery__datediff": {"name": "bigquery__datediff", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt_bigquery.bigquery__datediff", "macro_sql": "{% macro bigquery__datediff(first_date, second_date, datepart) -%}\n\n  {% if dbt_version[0] == 1 and dbt_version[2] >= 2 %}\n    {{ return(dbt.datediff(first_date, second_date, datepart)) }}\n  {% else %}\n\n    datetime_diff(\n        cast({{second_date}} as datetime),\n        cast({{first_date}} as datetime),\n        {{datepart}}\n    )\n\n  {% endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.338182, "supported_languages": null}, "macro.dbt_bigquery.bigquery__safe_cast": {"name": "bigquery__safe_cast", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt_bigquery.bigquery__safe_cast", "macro_sql": "{% macro bigquery__safe_cast(field, type) %}\n    safe_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3383539, "supported_languages": null}, "macro.dbt_bigquery.bigquery__hash": {"name": "bigquery__hash", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt_bigquery.bigquery__hash", "macro_sql": "{% macro bigquery__hash(field) -%}\n    to_hex({{dbt.default__hash(field)}})\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__hash"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.338517, "supported_languages": null}, "macro.dbt_bigquery.bigquery__position": {"name": "bigquery__position", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt_bigquery.bigquery__position", "macro_sql": "{% macro bigquery__position(substring_text, string_text) %}\n\n    strpos(\n        {{ string_text }},\n        {{ substring_text }}\n\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.338767, "supported_languages": null}, "macro.dbt_bigquery.bigquery__array_concat": {"name": "bigquery__array_concat", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt_bigquery.bigquery__array_concat", "macro_sql": "{% macro bigquery__array_concat(array_1, array_2) -%}\n    array_concat({{ array_1 }}, {{ array_2 }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.33894, "supported_languages": null}, "macro.dbt_bigquery.bigquery__bool_or": {"name": "bigquery__bool_or", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt_bigquery.bigquery__bool_or", "macro_sql": "{% macro bigquery__bool_or(expression) -%}\n\n    logical_or({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.339078, "supported_languages": null}, "macro.dbt_bigquery.bigquery__split_part": {"name": "bigquery__split_part", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt_bigquery.bigquery__split_part", "macro_sql": "{% macro bigquery__split_part(string_text, delimiter_text, part_number) %}\n\n  {% if part_number >= 0 %}\n    split(\n        {{ string_text }},\n        {{ delimiter_text }}\n        )[safe_offset({{ part_number - 1 }})]\n  {% else %}\n    split(\n        {{ string_text }},\n        {{ delimiter_text }}\n        )[safe_offset(\n          length({{ string_text }})\n          - length(\n              replace({{ string_text }},  {{ delimiter_text }}, '')\n          ) + 1 + {{ part_number }}\n        )]\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3397, "supported_languages": null}, "macro.dbt_bigquery.bigquery__date_trunc": {"name": "bigquery__date_trunc", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt_bigquery.bigquery__date_trunc", "macro_sql": "{% macro bigquery__date_trunc(datepart, date) -%}\n    timestamp_trunc(\n        cast({{date}} as timestamp),\n        {{datepart}}\n    )\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.339884, "supported_languages": null}, "macro.dbt_bigquery.bigquery__array_construct": {"name": "bigquery__array_construct", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt_bigquery.bigquery__array_construct", "macro_sql": "{% macro bigquery__array_construct(inputs, data_type) -%}\n    {% if inputs|length > 0 %}\n    [ {{ inputs|join(' , ') }} ]\n    {% else %}\n    ARRAY<{{data_type}}>[]\n    {% endif %}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.340202, "supported_languages": null}, "macro.dbt_bigquery.bigquery__array_append": {"name": "bigquery__array_append", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt_bigquery.bigquery__array_append", "macro_sql": "{% macro bigquery__array_append(array, new_element) -%}\n    {{ array_concat(array, array_construct([new_element])) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.array_concat", "macro.dbt.array_construct"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.340414, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_show_grant_sql": {"name": "bigquery__get_show_grant_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_show_grant_sql", "macro_sql": "{% macro bigquery__get_show_grant_sql(relation) %}\n    {% set location = adapter.get_dataset_location(relation) %}\n    {% set relation = relation.incorporate(location=location) %}\n\n    select privilege_type, grantee\n    from {{ relation.information_schema(\"OBJECT_PRIVILEGES\") }}\n    where object_schema = \"{{ relation.dataset }}\"\n      and object_name = \"{{ relation.identifier }}\"\n      -- filter out current user\n      and split(grantee, ':')[offset(1)] != session_user()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3410728, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_grant_sql": {"name": "bigquery__get_grant_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_grant_sql", "macro_sql": "\n\n\n{%- macro bigquery__get_grant_sql(relation, privilege, grantee) -%}\n    grant `{{ privilege }}` on {{ relation.type }} {{ relation }} to {{ '\\\"' + grantee|join('\\\", \\\"') + '\\\"' }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.341342, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_revoke_sql": {"name": "bigquery__get_revoke_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_revoke_sql", "macro_sql": "{%- macro bigquery__get_revoke_sql(relation, privilege, grantee) -%}\n    revoke `{{ privilege }}` on {{ relation.type }} {{ relation }} from {{ '\\\"' + grantee|join('\\\", \\\"') + '\\\"' }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3416011, "supported_languages": null}, "macro.dbt_bigquery.bigquery__get_empty_subquery_sql": {"name": "bigquery__get_empty_subquery_sql", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt_bigquery.bigquery__get_empty_subquery_sql", "macro_sql": "{% macro bigquery__get_empty_subquery_sql(select_sql, select_sql_header=none) %}\n    {%- if select_sql_header is not none -%}\n    {{ select_sql_header }}\n    {%- endif -%}\n    select * from (\n        {{ select_sql }}\n    ) as __dbt_sbq\n    where false and current_timestamp() = current_timestamp()\n    limit 0\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3418958, "supported_languages": null}, "macro.dbt_bigquery.bigquery__resolve_model_name": {"name": "bigquery__resolve_model_name", "resource_type": "macro", "package_name": "dbt_bigquery", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt_bigquery.bigquery__resolve_model_name", "macro_sql": "{% macro bigquery__resolve_model_name(input_model_name) -%}\n    {{ input_model_name | string | replace('`', '') | replace('\"', '\\\"') }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.342141, "supported_languages": null}, "macro.dbt.run_hooks": {"name": "run_hooks", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.run_hooks", "macro_sql": "{% macro run_hooks(hooks, inside_transaction=True) %}\n  {% for hook in hooks | selectattr('transaction', 'equalto', inside_transaction)  %}\n    {% if not inside_transaction and loop.first %}\n      {% call statement(auto_begin=inside_transaction) %}\n        commit;\n      {% endcall %}\n    {% endif %}\n    {% set rendered = render(hook.get('sql')) | trim %}\n    {% if (rendered | length) > 0 %}\n      {% call statement(auto_begin=inside_transaction) %}\n        {{ rendered }}\n      {% endcall %}\n    {% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3432698, "supported_languages": null}, "macro.dbt.make_hook_config": {"name": "make_hook_config", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.make_hook_config", "macro_sql": "{% macro make_hook_config(sql, inside_transaction) %}\n    {{ tojson({\"sql\": sql, \"transaction\": inside_transaction}) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3434749, "supported_languages": null}, "macro.dbt.before_begin": {"name": "before_begin", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.before_begin", "macro_sql": "{% macro before_begin(sql) %}\n    {{ make_hook_config(sql, inside_transaction=False) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3436291, "supported_languages": null}, "macro.dbt.in_transaction": {"name": "in_transaction", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.in_transaction", "macro_sql": "{% macro in_transaction(sql) %}\n    {{ make_hook_config(sql, inside_transaction=True) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.343775, "supported_languages": null}, "macro.dbt.after_commit": {"name": "after_commit", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "unique_id": "macro.dbt.after_commit", "macro_sql": "{% macro after_commit(sql) %}\n    {{ make_hook_config(sql, inside_transaction=False) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.343924, "supported_languages": null}, "macro.dbt.set_sql_header": {"name": "set_sql_header", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.set_sql_header", "macro_sql": "{% macro set_sql_header(config) -%}\n  {{ config.set('sql_header', caller()) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3443031, "supported_languages": null}, "macro.dbt.should_full_refresh": {"name": "should_full_refresh", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.should_full_refresh", "macro_sql": "{% macro should_full_refresh() %}\n  {% set config_full_refresh = config.get('full_refresh') %}\n  {% if config_full_refresh is none %}\n    {% set config_full_refresh = flags.FULL_REFRESH %}\n  {% endif %}\n  {% do return(config_full_refresh) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.344624, "supported_languages": null}, "macro.dbt.should_store_failures": {"name": "should_store_failures", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "unique_id": "macro.dbt.should_store_failures", "macro_sql": "{% macro should_store_failures() %}\n  {% set config_store_failures = config.get('store_failures') %}\n  {% if config_store_failures is none %}\n    {% set config_store_failures = flags.STORE_FAILURES %}\n  {% endif %}\n  {% do return(config_store_failures) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.345012, "supported_languages": null}, "macro.dbt.snapshot_merge_sql": {"name": "snapshot_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshots/snapshot_merge.sql", "unique_id": "macro.dbt.snapshot_merge_sql", "macro_sql": "{% macro snapshot_merge_sql(target, source, insert_cols) -%}\n  {{ adapter.dispatch('snapshot_merge_sql', 'dbt')(target, source, insert_cols) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__snapshot_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3454552, "supported_languages": null}, "macro.dbt.default__snapshot_merge_sql": {"name": "default__snapshot_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshots/snapshot_merge.sql", "unique_id": "macro.dbt.default__snapshot_merge_sql", "macro_sql": "{% macro default__snapshot_merge_sql(target, source, insert_cols) -%}\n    {%- set insert_cols_csv = insert_cols | join(', ') -%}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n    using {{ source }} as DBT_INTERNAL_SOURCE\n    on DBT_INTERNAL_SOURCE.dbt_scd_id = DBT_INTERNAL_DEST.dbt_scd_id\n\n    when matched\n     and DBT_INTERNAL_DEST.dbt_valid_to is null\n     and DBT_INTERNAL_SOURCE.dbt_change_type in ('update', 'delete')\n        then update\n        set dbt_valid_to = DBT_INTERNAL_SOURCE.dbt_valid_to\n\n    when not matched\n     and DBT_INTERNAL_SOURCE.dbt_change_type = 'insert'\n        then insert ({{ insert_cols_csv }})\n        values ({{ insert_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.345737, "supported_languages": null}, "macro.dbt.strategy_dispatch": {"name": "strategy_dispatch", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.strategy_dispatch", "macro_sql": "{% macro strategy_dispatch(name) -%}\n{% set original_name = name %}\n  {% if '.' in name %}\n    {% set package_name, name = name.split(\".\", 1) %}\n  {% else %}\n    {% set package_name = none %}\n  {% endif %}\n\n  {% if package_name is none %}\n    {% set package_context = context %}\n  {% elif package_name in context %}\n    {% set package_context = context[package_name] %}\n  {% else %}\n    {% set error_msg %}\n        Could not find package '{{package_name}}', called with '{{original_name}}'\n    {% endset %}\n    {{ exceptions.raise_compiler_error(error_msg | trim) }}\n  {% endif %}\n\n  {%- set search_name = 'snapshot_' ~ name ~ '_strategy' -%}\n\n  {% if search_name not in package_context %}\n    {% set error_msg %}\n        The specified strategy macro '{{name}}' was not found in package '{{ package_name }}'\n    {% endset %}\n    {{ exceptions.raise_compiler_error(error_msg | trim) }}\n  {% endif %}\n  {{ return(package_context[search_name]) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.349353, "supported_languages": null}, "macro.dbt.snapshot_hash_arguments": {"name": "snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_hash_arguments", "macro_sql": "{% macro snapshot_hash_arguments(args) -%}\n  {{ adapter.dispatch('snapshot_hash_arguments', 'dbt')(args) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.349529, "supported_languages": null}, "macro.dbt.default__snapshot_hash_arguments": {"name": "default__snapshot_hash_arguments", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.default__snapshot_hash_arguments", "macro_sql": "{% macro default__snapshot_hash_arguments(args) -%}\n    md5({%- for arg in args -%}\n        coalesce(cast({{ arg }} as varchar ), '')\n        {% if not loop.last %} || '|' || {% endif %}\n    {%- endfor -%})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.349756, "supported_languages": null}, "macro.dbt.snapshot_timestamp_strategy": {"name": "snapshot_timestamp_strategy", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_timestamp_strategy", "macro_sql": "{% macro snapshot_timestamp_strategy(node, snapshotted_rel, current_rel, config, target_exists) %}\n    {% set primary_key = config['unique_key'] %}\n    {% set updated_at = config['updated_at'] %}\n    {% set invalidate_hard_deletes = config.get('invalidate_hard_deletes', false) %}\n\n    {#/*\n        The snapshot relation might not have an {{ updated_at }} value if the\n        snapshot strategy is changed from `check` to `timestamp`. We\n        should use a dbt-created column for the comparison in the snapshot\n        table instead of assuming that the user-supplied {{ updated_at }}\n        will be present in the historical data.\n\n        See https://github.com/dbt-labs/dbt-core/issues/2350\n    */ #}\n    {% set row_changed_expr -%}\n        ({{ snapshotted_rel }}.dbt_valid_from < {{ current_rel }}.{{ updated_at }})\n    {%- endset %}\n\n    {% set scd_id_expr = snapshot_hash_arguments([primary_key, updated_at]) %}\n\n    {% do return({\n        \"unique_key\": primary_key,\n        \"updated_at\": updated_at,\n        \"row_changed\": row_changed_expr,\n        \"scd_id\": scd_id_expr,\n        \"invalidate_hard_deletes\": invalidate_hard_deletes\n    }) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.350507, "supported_languages": null}, "macro.dbt.snapshot_string_as_time": {"name": "snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_string_as_time", "macro_sql": "{% macro snapshot_string_as_time(timestamp) -%}\n    {{ adapter.dispatch('snapshot_string_as_time', 'dbt')(timestamp) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__snapshot_string_as_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3506792, "supported_languages": null}, "macro.dbt.default__snapshot_string_as_time": {"name": "default__snapshot_string_as_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.default__snapshot_string_as_time", "macro_sql": "{% macro default__snapshot_string_as_time(timestamp) %}\n    {% do exceptions.raise_not_implemented(\n        'snapshot_string_as_time macro not implemented for adapter '+adapter.type()\n    ) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.350857, "supported_languages": null}, "macro.dbt.snapshot_check_all_get_existing_columns": {"name": "snapshot_check_all_get_existing_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_check_all_get_existing_columns", "macro_sql": "{% macro snapshot_check_all_get_existing_columns(node, target_exists, check_cols_config) -%}\n    {%- if not target_exists -%}\n        {#-- no table yet -> return whatever the query does --#}\n        {{ return((false, query_columns)) }}\n    {%- endif -%}\n\n    {#-- handle any schema changes --#}\n    {%- set target_relation = adapter.get_relation(database=node.database, schema=node.schema, identifier=node.alias) -%}\n\n    {% if check_cols_config == 'all' %}\n        {%- set query_columns = get_columns_in_query(node['compiled_code']) -%}\n\n    {% elif check_cols_config is iterable and (check_cols_config | length) > 0 %}\n        {#-- query for proper casing/quoting, to support comparison below --#}\n        {%- set select_check_cols_from_target -%}\n            {#-- N.B. The whitespace below is necessary to avoid edge case issue with comments --#}\n            {#-- See: https://github.com/dbt-labs/dbt-core/issues/6781 --#}\n            select {{ check_cols_config | join(', ') }} from (\n                {{ node['compiled_code'] }}\n            ) subq\n        {%- endset -%}\n        {% set query_columns = get_columns_in_query(select_check_cols_from_target) %}\n\n    {% else %}\n        {% do exceptions.raise_compiler_error(\"Invalid value for 'check_cols': \" ~ check_cols_config) %}\n    {% endif %}\n\n    {%- set existing_cols = adapter.get_columns_in_relation(target_relation) | map(attribute = 'name') | list -%}\n    {%- set ns = namespace() -%} {#-- handle for-loop scoping with a namespace --#}\n    {%- set ns.column_added = false -%}\n\n    {%- set intersection = [] -%}\n    {%- for col in query_columns -%}\n        {%- if col in existing_cols -%}\n            {%- do intersection.append(adapter.quote(col)) -%}\n        {%- else -%}\n            {% set ns.column_added = true %}\n        {%- endif -%}\n    {%- endfor -%}\n    {{ return((ns.column_added, intersection)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_columns_in_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.352326, "supported_languages": null}, "macro.dbt.snapshot_check_strategy": {"name": "snapshot_check_strategy", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "unique_id": "macro.dbt.snapshot_check_strategy", "macro_sql": "{% macro snapshot_check_strategy(node, snapshotted_rel, current_rel, config, target_exists) %}\n    {% set check_cols_config = config['check_cols'] %}\n    {% set primary_key = config['unique_key'] %}\n    {% set invalidate_hard_deletes = config.get('invalidate_hard_deletes', false) %}\n    {% set updated_at = config.get('updated_at', snapshot_get_time()) %}\n\n    {% set column_added = false %}\n\n    {% set column_added, check_cols = snapshot_check_all_get_existing_columns(node, target_exists, check_cols_config) %}\n\n    {%- set row_changed_expr -%}\n    (\n    {%- if column_added -%}\n        {{ get_true_sql() }}\n    {%- else -%}\n    {%- for col in check_cols -%}\n        {{ snapshotted_rel }}.{{ col }} != {{ current_rel }}.{{ col }}\n        or\n        (\n            (({{ snapshotted_rel }}.{{ col }} is null) and not ({{ current_rel }}.{{ col }} is null))\n            or\n            ((not {{ snapshotted_rel }}.{{ col }} is null) and ({{ current_rel }}.{{ col }} is null))\n        )\n        {%- if not loop.last %} or {% endif -%}\n    {%- endfor -%}\n    {%- endif -%}\n    )\n    {%- endset %}\n\n    {% set scd_id_expr = snapshot_hash_arguments([primary_key, updated_at]) %}\n\n    {% do return({\n        \"unique_key\": primary_key,\n        \"updated_at\": updated_at,\n        \"row_changed\": row_changed_expr,\n        \"scd_id\": scd_id_expr,\n        \"invalidate_hard_deletes\": invalidate_hard_deletes\n    }) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_get_time", "macro.dbt.snapshot_check_all_get_existing_columns", "macro.dbt.get_true_sql", "macro.dbt.snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.353755, "supported_languages": null}, "macro.dbt.create_columns": {"name": "create_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.create_columns", "macro_sql": "{% macro create_columns(relation, columns) %}\n  {{ adapter.dispatch('create_columns', 'dbt')(relation, columns) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.357971, "supported_languages": null}, "macro.dbt.default__create_columns": {"name": "default__create_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__create_columns", "macro_sql": "{% macro default__create_columns(relation, columns) %}\n  {% for column in columns %}\n    {% call statement() %}\n      alter table {{ relation }} add column \"{{ column.name }}\" {{ column.data_type }};\n    {% endcall %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3582652, "supported_languages": null}, "macro.dbt.post_snapshot": {"name": "post_snapshot", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.post_snapshot", "macro_sql": "{% macro post_snapshot(staging_relation) %}\n  {{ adapter.dispatch('post_snapshot', 'dbt')(staging_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__post_snapshot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.358437, "supported_languages": null}, "macro.dbt.default__post_snapshot": {"name": "default__post_snapshot", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__post_snapshot", "macro_sql": "{% macro default__post_snapshot(staging_relation) %}\n    {# no-op #}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.358529, "supported_languages": null}, "macro.dbt.get_true_sql": {"name": "get_true_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.get_true_sql", "macro_sql": "{% macro get_true_sql() %}\n  {{ adapter.dispatch('get_true_sql', 'dbt')() }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_true_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.358677, "supported_languages": null}, "macro.dbt.default__get_true_sql": {"name": "default__get_true_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__get_true_sql", "macro_sql": "{% macro default__get_true_sql() %}\n    {{ return('TRUE') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.358798, "supported_languages": null}, "macro.dbt.snapshot_staging_table": {"name": "snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.snapshot_staging_table", "macro_sql": "{% macro snapshot_staging_table(strategy, source_sql, target_relation) -%}\n  {{ adapter.dispatch('snapshot_staging_table', 'dbt')(strategy, source_sql, target_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__snapshot_staging_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.359013, "supported_languages": null}, "macro.dbt.default__snapshot_staging_table": {"name": "default__snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__snapshot_staging_table", "macro_sql": "{% macro default__snapshot_staging_table(strategy, source_sql, target_relation) -%}\n\n    with snapshot_query as (\n\n        {{ source_sql }}\n\n    ),\n\n    snapshotted_data as (\n\n        select *,\n            {{ strategy.unique_key }} as dbt_unique_key\n\n        from {{ target_relation }}\n        where dbt_valid_to is null\n\n    ),\n\n    insertions_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key,\n            {{ strategy.updated_at }} as dbt_updated_at,\n            {{ strategy.updated_at }} as dbt_valid_from,\n            nullif({{ strategy.updated_at }}, {{ strategy.updated_at }}) as dbt_valid_to,\n            {{ strategy.scd_id }} as dbt_scd_id\n\n        from snapshot_query\n    ),\n\n    updates_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key,\n            {{ strategy.updated_at }} as dbt_updated_at,\n            {{ strategy.updated_at }} as dbt_valid_from,\n            {{ strategy.updated_at }} as dbt_valid_to\n\n        from snapshot_query\n    ),\n\n    {%- if strategy.invalidate_hard_deletes %}\n\n    deletes_source_data as (\n\n        select\n            *,\n            {{ strategy.unique_key }} as dbt_unique_key\n        from snapshot_query\n    ),\n    {% endif %}\n\n    insertions as (\n\n        select\n            'insert' as dbt_change_type,\n            source_data.*\n\n        from insertions_source_data as source_data\n        left outer join snapshotted_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where snapshotted_data.dbt_unique_key is null\n           or (\n                snapshotted_data.dbt_unique_key is not null\n            and (\n                {{ strategy.row_changed }}\n            )\n        )\n\n    ),\n\n    updates as (\n\n        select\n            'update' as dbt_change_type,\n            source_data.*,\n            snapshotted_data.dbt_scd_id\n\n        from updates_source_data as source_data\n        join snapshotted_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where (\n            {{ strategy.row_changed }}\n        )\n    )\n\n    {%- if strategy.invalidate_hard_deletes -%}\n    ,\n\n    deletes as (\n\n        select\n            'delete' as dbt_change_type,\n            source_data.*,\n            {{ snapshot_get_time() }} as dbt_valid_from,\n            {{ snapshot_get_time() }} as dbt_updated_at,\n            {{ snapshot_get_time() }} as dbt_valid_to,\n            snapshotted_data.dbt_scd_id\n\n        from snapshotted_data\n        left join deletes_source_data as source_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n        where source_data.dbt_unique_key is null\n    )\n    {%- endif %}\n\n    select * from insertions\n    union all\n    select * from updates\n    {%- if strategy.invalidate_hard_deletes %}\n    union all\n    select * from deletes\n    {%- endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.snapshot_get_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.359946, "supported_languages": null}, "macro.dbt.build_snapshot_table": {"name": "build_snapshot_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.build_snapshot_table", "macro_sql": "{% macro build_snapshot_table(strategy, sql) -%}\n  {{ adapter.dispatch('build_snapshot_table', 'dbt')(strategy, sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__build_snapshot_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3601432, "supported_languages": null}, "macro.dbt.default__build_snapshot_table": {"name": "default__build_snapshot_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.default__build_snapshot_table", "macro_sql": "{% macro default__build_snapshot_table(strategy, sql) %}\n\n    select *,\n        {{ strategy.scd_id }} as dbt_scd_id,\n        {{ strategy.updated_at }} as dbt_updated_at,\n        {{ strategy.updated_at }} as dbt_valid_from,\n        nullif({{ strategy.updated_at }}, {{ strategy.updated_at }}) as dbt_valid_to\n    from (\n        {{ sql }}\n    ) sbq\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.360405, "supported_languages": null}, "macro.dbt.build_snapshot_staging_table": {"name": "build_snapshot_staging_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "unique_id": "macro.dbt.build_snapshot_staging_table", "macro_sql": "{% macro build_snapshot_staging_table(strategy, sql, target_relation) %}\n    {% set temp_relation = make_temp_relation(target_relation) %}\n\n    {% set select = snapshot_staging_table(strategy, sql, target_relation) %}\n\n    {% call statement('build_snapshot_staging_relation') %}\n        {{ create_table_as(True, temp_relation, select) }}\n    {% endcall %}\n\n    {% do return(temp_relation) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.make_temp_relation", "macro.dbt.snapshot_staging_table", "macro.dbt.statement", "macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.360855, "supported_languages": null}, "macro.dbt.materialization_snapshot_default": {"name": "materialization_snapshot_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/snapshots/snapshot.sql", "original_file_path": "macros/materializations/snapshots/snapshot.sql", "unique_id": "macro.dbt.materialization_snapshot_default", "macro_sql": "{% materialization snapshot, default %}\n  {%- set config = model['config'] -%}\n\n  {%- set target_table = model.get('alias', model.get('name')) -%}\n\n  {%- set strategy_name = config.get('strategy') -%}\n  {%- set unique_key = config.get('unique_key') %}\n  -- grab current tables grants config for comparision later on\n  {%- set grant_config = config.get('grants') -%}\n\n  {% set target_relation_exists, target_relation = get_or_create_relation(\n          database=model.database,\n          schema=model.schema,\n          identifier=target_table,\n          type='table') -%}\n\n  {%- if not target_relation.is_table -%}\n    {% do exceptions.relation_wrong_type(target_relation, 'table') %}\n  {%- endif -%}\n\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  {% set strategy_macro = strategy_dispatch(strategy_name) %}\n  {% set strategy = strategy_macro(model, \"snapshotted_data\", \"source_data\", config, target_relation_exists) %}\n\n  {% if not target_relation_exists %}\n\n      {% set build_sql = build_snapshot_table(strategy, model['compiled_code']) %}\n      {% set final_sql = create_table_as(False, target_relation, build_sql) %}\n\n  {% else %}\n\n      {{ adapter.valid_snapshot_target(target_relation) }}\n\n      {% set staging_table = build_snapshot_staging_table(strategy, sql, target_relation) %}\n\n      -- this may no-op if the database does not require column expansion\n      {% do adapter.expand_target_column_types(from_relation=staging_table,\n                                               to_relation=target_relation) %}\n\n      {% set missing_columns = adapter.get_missing_columns(staging_table, target_relation)\n                                   | rejectattr('name', 'equalto', 'dbt_change_type')\n                                   | rejectattr('name', 'equalto', 'DBT_CHANGE_TYPE')\n                                   | rejectattr('name', 'equalto', 'dbt_unique_key')\n                                   | rejectattr('name', 'equalto', 'DBT_UNIQUE_KEY')\n                                   | list %}\n\n      {% do create_columns(target_relation, missing_columns) %}\n\n      {% set source_columns = adapter.get_columns_in_relation(staging_table)\n                                   | rejectattr('name', 'equalto', 'dbt_change_type')\n                                   | rejectattr('name', 'equalto', 'DBT_CHANGE_TYPE')\n                                   | rejectattr('name', 'equalto', 'dbt_unique_key')\n                                   | rejectattr('name', 'equalto', 'DBT_UNIQUE_KEY')\n                                   | list %}\n\n      {% set quoted_source_columns = [] %}\n      {% for column in source_columns %}\n        {% do quoted_source_columns.append(adapter.quote(column.name)) %}\n      {% endfor %}\n\n      {% set final_sql = snapshot_merge_sql(\n            target = target_relation,\n            source = staging_table,\n            insert_cols = quoted_source_columns\n         )\n      %}\n\n  {% endif %}\n\n  {% call statement('main') %}\n      {{ final_sql }}\n  {% endcall %}\n\n  {% set should_revoke = should_revoke(target_relation_exists, full_refresh_mode=False) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if not target_relation_exists %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {{ adapter.commit() }}\n\n  {% if staging_table is defined %}\n      {% do post_snapshot(staging_table) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.get_or_create_relation", "macro.dbt.run_hooks", "macro.dbt.strategy_dispatch", "macro.dbt.build_snapshot_table", "macro.dbt.create_table_as", "macro.dbt.build_snapshot_staging_table", "macro.dbt.create_columns", "macro.dbt.snapshot_merge_sql", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes", "macro.dbt.post_snapshot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3672938, "supported_languages": ["sql"]}, "macro.dbt.materialization_test_default": {"name": "materialization_test_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/test.sql", "original_file_path": "macros/materializations/tests/test.sql", "unique_id": "macro.dbt.materialization_test_default", "macro_sql": "{%- materialization test, default -%}\n\n  {% set relations = [] %}\n\n  {% if should_store_failures() %}\n\n    {% set identifier = model['alias'] %}\n    {% set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) %}\n\n    {% set store_failures_as = config.get('store_failures_as') %}\n    -- if `--store-failures` is invoked via command line and `store_failures_as` is not set,\n    -- config.get('store_failures_as', 'table') returns None, not 'table'\n    {% if store_failures_as == none %}{% set store_failures_as = 'table' %}{% endif %}\n    {% if store_failures_as not in ['table', 'view'] %}\n        {{ exceptions.raise_compiler_error(\n            \"'\" ~ store_failures_as ~ \"' is not a valid value for `store_failures_as`. \"\n            \"Accepted values are: ['ephemeral', 'table', 'view']\"\n        ) }}\n    {% endif %}\n\n    {% set target_relation = api.Relation.create(\n        identifier=identifier, schema=schema, database=database, type=store_failures_as) -%} %}\n\n    {% if old_relation %}\n        {% do adapter.drop_relation(old_relation) %}\n    {% endif %}\n\n    {% call statement(auto_begin=True) %}\n        {{ get_create_sql(target_relation, sql) }}\n    {% endcall %}\n\n    {% do relations.append(target_relation) %}\n\n    {% set main_sql %}\n        select *\n        from {{ target_relation }}\n    {% endset %}\n\n    {{ adapter.commit() }}\n\n  {% else %}\n\n      {% set main_sql = sql %}\n\n  {% endif %}\n\n  {% set limit = config.get('limit') %}\n  {% set fail_calc = config.get('fail_calc') %}\n  {% set warn_if = config.get('warn_if') %}\n  {% set error_if = config.get('error_if') %}\n\n  {% call statement('main', fetch_result=True) -%}\n\n    {{ get_test_sql(main_sql, fail_calc, warn_if, error_if, limit)}}\n\n  {%- endcall %}\n\n  {{ return({'relations': relations}) }}\n\n{%- endmaterialization -%}", "depends_on": {"macros": ["macro.dbt.should_store_failures", "macro.dbt.statement", "macro.dbt.get_create_sql", "macro.dbt.get_test_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.370125, "supported_languages": ["sql"]}, "macro.dbt.get_test_sql": {"name": "get_test_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/helpers.sql", "original_file_path": "macros/materializations/tests/helpers.sql", "unique_id": "macro.dbt.get_test_sql", "macro_sql": "{% macro get_test_sql(main_sql, fail_calc, warn_if, error_if, limit) -%}\n  {{ adapter.dispatch('get_test_sql', 'dbt')(main_sql, fail_calc, warn_if, error_if, limit) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_test_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.370591, "supported_languages": null}, "macro.dbt.default__get_test_sql": {"name": "default__get_test_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/helpers.sql", "original_file_path": "macros/materializations/tests/helpers.sql", "unique_id": "macro.dbt.default__get_test_sql", "macro_sql": "{% macro default__get_test_sql(main_sql, fail_calc, warn_if, error_if, limit) -%}\n    select\n      {{ fail_calc }} as failures,\n      {{ fail_calc }} {{ warn_if }} as should_warn,\n      {{ fail_calc }} {{ error_if }} as should_error\n    from (\n      {{ main_sql }}\n      {{ \"limit \" ~ limit if limit != none }}\n    ) dbt_internal_test\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.370909, "supported_languages": null}, "macro.dbt.get_where_subquery": {"name": "get_where_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/where_subquery.sql", "original_file_path": "macros/materializations/tests/where_subquery.sql", "unique_id": "macro.dbt.get_where_subquery", "macro_sql": "{% macro get_where_subquery(relation) -%}\n    {% do return(adapter.dispatch('get_where_subquery', 'dbt')(relation)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_where_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.371296, "supported_languages": null}, "macro.dbt.default__get_where_subquery": {"name": "default__get_where_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/tests/where_subquery.sql", "original_file_path": "macros/materializations/tests/where_subquery.sql", "unique_id": "macro.dbt.default__get_where_subquery", "macro_sql": "{% macro default__get_where_subquery(relation) -%}\n    {% set where = config.get('where', '') %}\n    {% if where %}\n        {%- set filtered -%}\n            (select * from {{ relation }} where {{ where }}) dbt_subquery\n        {%- endset -%}\n        {% do return(filtered) %}\n    {%- else -%}\n        {% do return(relation) %}\n    {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.371691, "supported_languages": null}, "macro.dbt.materialization_materialized_view_default": {"name": "materialization_materialized_view_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view.sql", "unique_id": "macro.dbt.materialization_materialized_view_default", "macro_sql": "{% materialization materialized_view, default %}\n    {% set existing_relation = load_cached_relation(this) %}\n    {% set target_relation = this.incorporate(type=this.MaterializedView) %}\n    {% set intermediate_relation = make_intermediate_relation(target_relation) %}\n    {% set backup_relation_type = target_relation.MaterializedView if existing_relation is none else existing_relation.type %}\n    {% set backup_relation = make_backup_relation(target_relation, backup_relation_type) %}\n\n    {{ materialized_view_setup(backup_relation, intermediate_relation, pre_hooks) }}\n\n        {% set build_sql = materialized_view_get_build_sql(existing_relation, target_relation, backup_relation, intermediate_relation) %}\n\n        {% if build_sql == '' %}\n            {{ materialized_view_execute_no_op(target_relation) }}\n        {% else %}\n            {{ materialized_view_execute_build_sql(build_sql, existing_relation, target_relation, post_hooks) }}\n        {% endif %}\n\n    {{ materialized_view_teardown(backup_relation, intermediate_relation, post_hooks) }}\n\n    {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.materialized_view_setup", "macro.dbt.materialized_view_get_build_sql", "macro.dbt.materialized_view_execute_no_op", "macro.dbt.materialized_view_execute_build_sql", "macro.dbt.materialized_view_teardown"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3768508, "supported_languages": ["sql"]}, "macro.dbt.materialized_view_setup": {"name": "materialized_view_setup", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view.sql", "unique_id": "macro.dbt.materialized_view_setup", "macro_sql": "{% macro materialized_view_setup(backup_relation, intermediate_relation, pre_hooks) %}\n\n    -- backup_relation and intermediate_relation should not already exist in the database\n    -- it's possible these exist because of a previous run that exited unexpectedly\n    {% set preexisting_backup_relation = load_cached_relation(backup_relation) %}\n    {% set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) %}\n\n    -- drop the temp relations if they exist already in the database\n    {{ drop_relation_if_exists(preexisting_backup_relation) }}\n    {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n\n    {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.377273, "supported_languages": null}, "macro.dbt.materialized_view_teardown": {"name": "materialized_view_teardown", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view.sql", "unique_id": "macro.dbt.materialized_view_teardown", "macro_sql": "{% macro materialized_view_teardown(backup_relation, intermediate_relation, post_hooks) %}\n\n    -- drop the temp relations if they exist to leave the database clean for the next run\n    {{ drop_relation_if_exists(backup_relation) }}\n    {{ drop_relation_if_exists(intermediate_relation) }}\n\n    {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.377538, "supported_languages": null}, "macro.dbt.materialized_view_get_build_sql": {"name": "materialized_view_get_build_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view.sql", "unique_id": "macro.dbt.materialized_view_get_build_sql", "macro_sql": "{% macro materialized_view_get_build_sql(existing_relation, target_relation, backup_relation, intermediate_relation) %}\n\n    {% set full_refresh_mode = should_full_refresh() %}\n\n    -- determine the scenario we're in: create, full_refresh, alter, refresh data\n    {% if existing_relation is none %}\n        {% set build_sql = get_create_materialized_view_as_sql(target_relation, sql) %}\n    {% elif full_refresh_mode or not existing_relation.is_materialized_view %}\n        {% set build_sql = get_replace_sql(existing_relation, target_relation, sql) %}\n    {% else %}\n\n        -- get config options\n        {% set on_configuration_change = config.get('on_configuration_change') %}\n        {% set configuration_changes = get_materialized_view_configuration_changes(existing_relation, config) %}\n\n        {% if configuration_changes is none %}\n            {% set build_sql = refresh_materialized_view(target_relation) %}\n\n        {% elif on_configuration_change == 'apply' %}\n            {% set build_sql = get_alter_materialized_view_as_sql(target_relation, configuration_changes, sql, existing_relation, backup_relation, intermediate_relation) %}\n        {% elif on_configuration_change == 'continue' %}\n            {% set build_sql = '' %}\n            {{ exceptions.warn(\"Configuration changes were identified and `on_configuration_change` was set to `continue` for `\" ~ target_relation ~ \"`\") }}\n        {% elif on_configuration_change == 'fail' %}\n            {{ exceptions.raise_fail_fast_error(\"Configuration changes were identified and `on_configuration_change` was set to `fail` for `\" ~ target_relation ~ \"`\") }}\n\n        {% else %}\n            -- this only happens if the user provides a value other than `apply`, 'skip', 'fail'\n            {{ exceptions.raise_compiler_error(\"Unexpected configuration scenario\") }}\n\n        {% endif %}\n\n    {% endif %}\n\n    {% do return(build_sql) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh", "macro.dbt.get_create_materialized_view_as_sql", "macro.dbt.get_replace_sql", "macro.dbt.get_materialized_view_configuration_changes", "macro.dbt.refresh_materialized_view", "macro.dbt.get_alter_materialized_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.378887, "supported_languages": null}, "macro.dbt.materialized_view_execute_no_op": {"name": "materialized_view_execute_no_op", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view.sql", "unique_id": "macro.dbt.materialized_view_execute_no_op", "macro_sql": "{% macro materialized_view_execute_no_op(target_relation) %}\n    {% do store_raw_result(\n        name=\"main\",\n        message=\"skip \" ~ target_relation,\n        code=\"skip\",\n        rows_affected=\"-1\"\n    ) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.379128, "supported_languages": null}, "macro.dbt.materialized_view_execute_build_sql": {"name": "materialized_view_execute_build_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/materialized_view.sql", "original_file_path": "macros/materializations/models/materialized_view.sql", "unique_id": "macro.dbt.materialized_view_execute_build_sql", "macro_sql": "{% macro materialized_view_execute_build_sql(build_sql, existing_relation, target_relation, post_hooks) %}\n\n    -- `BEGIN` happens here:\n    {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n    {% set grant_config = config.get('grants') %}\n\n    {% call statement(name=\"main\") %}\n        {{ build_sql }}\n    {% endcall %}\n\n    {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n    {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n    {% do persist_docs(target_relation, model) %}\n\n    {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n    {{ adapter.commit() }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3798242, "supported_languages": null}, "macro.dbt.materialization_view_default": {"name": "materialization_view_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/view.sql", "original_file_path": "macros/materializations/models/view.sql", "unique_id": "macro.dbt.materialization_view_default", "macro_sql": "{%- materialization view, default -%}\n\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='view') -%}\n  {%- set intermediate_relation =  make_intermediate_relation(target_relation) -%}\n\n  -- the intermediate_relation should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) -%}\n  /*\n     This relation (probably) doesn't exist yet. If it does exist, it's a leftover from\n     a previous run, and we're going to try to drop it immediately. At the end of this\n     materialization, we're going to rename the \"existing_relation\" to this identifier,\n     and then we're going to drop it. In order to make sure we run the correct one of:\n       - drop view ...\n       - drop table ...\n\n     We need to set the type of this relation to be the type of the existing_relation, if it exists,\n     or else \"view\" as a sane default if it does not. Note that if the existing_relation does not\n     exist, then there is nothing to move out of the way and subsequentally drop. In that case,\n     this relation will be effectively unused.\n  */\n  {%- set backup_relation_type = 'view' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n  -- as above, the backup_relation should not already exist\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n  -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- drop the temp relations if they exist already in the database\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_view_as_sql(intermediate_relation, sql) }}\n  {%- endcall %}\n\n  -- cleanup\n  -- move the existing view out of the way\n  {% if existing_relation is not none %}\n     /* Do the equivalent of rename_if_exists. 'existing_relation' could have been dropped\n        since the variable was first set. */\n    {% set existing_relation = load_cached_relation(existing_relation) %}\n    {% if existing_relation is not none %}\n        {{ adapter.rename_relation(existing_relation, backup_relation) }}\n    {% endif %}\n  {% endif %}\n  {{ adapter.rename_relation(intermediate_relation, target_relation) }}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {{ adapter.commit() }}\n\n  {{ drop_relation_if_exists(backup_relation) }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization -%}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.run_hooks", "macro.dbt.drop_relation_if_exists", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.3828359, "supported_languages": ["sql"]}, "macro.dbt.materialization_table_default": {"name": "materialization_table_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/table.sql", "original_file_path": "macros/materializations/models/table.sql", "unique_id": "macro.dbt.materialization_table_default", "macro_sql": "{% materialization table, default %}\n\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='table') %}\n  {%- set intermediate_relation =  make_intermediate_relation(target_relation) -%}\n  -- the intermediate_relation should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) -%}\n  /*\n      See ../view/view.sql for more information about this relation.\n  */\n  {%- set backup_relation_type = 'table' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n  -- as above, the backup_relation should not already exist\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n  -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n\n  -- drop the temp relations if they exist already in the database\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_table_as_sql(False, intermediate_relation, sql) }}\n  {%- endcall %}\n\n  -- cleanup\n  {% if existing_relation is not none %}\n     /* Do the equivalent of rename_if_exists. 'existing_relation' could have been dropped\n        since the variable was first set. */\n    {% set existing_relation = load_cached_relation(existing_relation) %}\n    {% if existing_relation is not none %}\n        {{ adapter.rename_relation(existing_relation, backup_relation) }}\n    {% endif %}\n  {% endif %}\n\n  {{ adapter.rename_relation(intermediate_relation, target_relation) }}\n\n  {% do create_indexes(target_relation) %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  -- `COMMIT` happens here\n  {{ adapter.commit() }}\n\n  -- finally, drop the existing/backup relation after the commit\n  {{ drop_relation_if_exists(backup_relation) }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.get_create_table_as_sql", "macro.dbt.create_indexes", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.385809, "supported_languages": ["sql"]}, "macro.dbt.get_quoted_csv": {"name": "get_quoted_csv", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.get_quoted_csv", "macro_sql": "{% macro get_quoted_csv(column_names) %}\n\n    {% set quoted = [] %}\n    {% for col in column_names -%}\n        {%- do quoted.append(adapter.quote(col)) -%}\n    {%- endfor %}\n\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.387567, "supported_languages": null}, "macro.dbt.diff_columns": {"name": "diff_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.diff_columns", "macro_sql": "{% macro diff_columns(source_columns, target_columns) %}\n\n  {% set result = [] %}\n  {% set source_names = source_columns | map(attribute = 'column') | list %}\n  {% set target_names = target_columns | map(attribute = 'column') | list %}\n\n   {# --check whether the name attribute exists in the target - this does not perform a data type check #}\n   {% for sc in source_columns %}\n     {% if sc.name not in target_names %}\n        {{ result.append(sc) }}\n     {% endif %}\n   {% endfor %}\n\n  {{ return(result) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.388164, "supported_languages": null}, "macro.dbt.diff_column_data_types": {"name": "diff_column_data_types", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.diff_column_data_types", "macro_sql": "{% macro diff_column_data_types(source_columns, target_columns) %}\n\n  {% set result = [] %}\n  {% for sc in source_columns %}\n    {% set tc = target_columns | selectattr(\"name\", \"equalto\", sc.name) | list | first %}\n    {% if tc %}\n      {% if sc.data_type != tc.data_type and not sc.can_expand_to(other_column=tc) %}\n        {{ result.append( { 'column_name': tc.name, 'new_type': sc.data_type } ) }}\n      {% endif %}\n    {% endif %}\n  {% endfor %}\n\n  {{ return(result) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.38886, "supported_languages": null}, "macro.dbt.get_merge_update_columns": {"name": "get_merge_update_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.get_merge_update_columns", "macro_sql": "{% macro get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) %}\n  {{ return(adapter.dispatch('get_merge_update_columns', 'dbt')(merge_update_columns, merge_exclude_columns, dest_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_merge_update_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.389119, "supported_languages": null}, "macro.dbt.default__get_merge_update_columns": {"name": "default__get_merge_update_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "unique_id": "macro.dbt.default__get_merge_update_columns", "macro_sql": "{% macro default__get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) %}\n  {%- set default_cols = dest_columns | map(attribute=\"quoted\") | list -%}\n\n  {%- if merge_update_columns and merge_exclude_columns -%}\n    {{ exceptions.raise_compiler_error(\n        'Model cannot specify merge_update_columns and merge_exclude_columns. Please update model to use only one config'\n    )}}\n  {%- elif merge_update_columns -%}\n    {%- set update_columns = merge_update_columns -%}\n  {%- elif merge_exclude_columns -%}\n    {%- set update_columns = [] -%}\n    {%- for column in dest_columns -%}\n      {% if column.column | lower not in merge_exclude_columns | map(\"lower\") | list %}\n        {%- do update_columns.append(column.quoted) -%}\n      {% endif %}\n    {%- endfor -%}\n  {%- else -%}\n    {%- set update_columns = default_cols -%}\n  {%- endif -%}\n\n  {{ return(update_columns) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.389865, "supported_languages": null}, "macro.dbt.get_merge_sql": {"name": "get_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_merge_sql", "macro_sql": "{% macro get_merge_sql(target, source, unique_key, dest_columns, incremental_predicates=none) -%}\n   -- back compat for old kwarg name\n  {% set incremental_predicates = kwargs.get('predicates', incremental_predicates) %}\n  {{ adapter.dispatch('get_merge_sql', 'dbt')(target, source, unique_key, dest_columns, incremental_predicates) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.396673, "supported_languages": null}, "macro.dbt.default__get_merge_sql": {"name": "default__get_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_merge_sql", "macro_sql": "{% macro default__get_merge_sql(target, source, unique_key, dest_columns, incremental_predicates=none) -%}\n    {%- set predicates = [] if incremental_predicates is none else [] + incremental_predicates -%}\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n    {%- set merge_update_columns = config.get('merge_update_columns') -%}\n    {%- set merge_exclude_columns = config.get('merge_exclude_columns') -%}\n    {%- set update_columns = get_merge_update_columns(merge_update_columns, merge_exclude_columns, dest_columns) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {% if unique_key %}\n        {% if unique_key is sequence and unique_key is not mapping and unique_key is not string %}\n            {% for key in unique_key %}\n                {% set this_key_match %}\n                    DBT_INTERNAL_SOURCE.{{ key }} = DBT_INTERNAL_DEST.{{ key }}\n                {% endset %}\n                {% do predicates.append(this_key_match) %}\n            {% endfor %}\n        {% else %}\n            {% set unique_key_match %}\n                DBT_INTERNAL_SOURCE.{{ unique_key }} = DBT_INTERNAL_DEST.{{ unique_key }}\n            {% endset %}\n            {% do predicates.append(unique_key_match) %}\n        {% endif %}\n    {% else %}\n        {% do predicates.append('FALSE') %}\n    {% endif %}\n\n    {{ sql_header if sql_header is not none }}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n        using {{ source }} as DBT_INTERNAL_SOURCE\n        on {{\"(\" ~ predicates | join(\") and (\") ~ \")\"}}\n\n    {% if unique_key %}\n    when matched then update set\n        {% for column_name in update_columns -%}\n            {{ column_name }} = DBT_INTERNAL_SOURCE.{{ column_name }}\n            {%- if not loop.last %}, {%- endif %}\n        {%- endfor %}\n    {% endif %}\n\n    when not matched then insert\n        ({{ dest_cols_csv }})\n    values\n        ({{ dest_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv", "macro.dbt.get_merge_update_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.398417, "supported_languages": null}, "macro.dbt.get_delete_insert_merge_sql": {"name": "get_delete_insert_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_delete_insert_merge_sql", "macro_sql": "{% macro get_delete_insert_merge_sql(target, source, unique_key, dest_columns, incremental_predicates) -%}\n  {{ adapter.dispatch('get_delete_insert_merge_sql', 'dbt')(target, source, unique_key, dest_columns, incremental_predicates) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_delete_insert_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.398699, "supported_languages": null}, "macro.dbt.default__get_delete_insert_merge_sql": {"name": "default__get_delete_insert_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_delete_insert_merge_sql", "macro_sql": "{% macro default__get_delete_insert_merge_sql(target, source, unique_key, dest_columns, incremental_predicates) -%}\n\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n    {% if unique_key %}\n        {% if unique_key is sequence and unique_key is not string %}\n            delete from {{target }}\n            using {{ source }}\n            where (\n                {% for key in unique_key %}\n                    {{ source }}.{{ key }} = {{ target }}.{{ key }}\n                    {{ \"and \" if not loop.last}}\n                {% endfor %}\n                {% if incremental_predicates %}\n                    {% for predicate in incremental_predicates %}\n                        and {{ predicate }}\n                    {% endfor %}\n                {% endif %}\n            );\n        {% else %}\n            delete from {{ target }}\n            where (\n                {{ unique_key }}) in (\n                select ({{ unique_key }})\n                from {{ source }}\n            )\n            {%- if incremental_predicates %}\n                {% for predicate in incremental_predicates %}\n                    and {{ predicate }}\n                {% endfor %}\n            {%- endif -%};\n\n        {% endif %}\n    {% endif %}\n\n    insert into {{ target }} ({{ dest_cols_csv }})\n    (\n        select {{ dest_cols_csv }}\n        from {{ source }}\n    )\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.399748, "supported_languages": null}, "macro.dbt.get_insert_overwrite_merge_sql": {"name": "get_insert_overwrite_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.get_insert_overwrite_merge_sql", "macro_sql": "{% macro get_insert_overwrite_merge_sql(target, source, dest_columns, predicates, include_sql_header=false) -%}\n  {{ adapter.dispatch('get_insert_overwrite_merge_sql', 'dbt')(target, source, dest_columns, predicates, include_sql_header) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4000351, "supported_languages": null}, "macro.dbt.default__get_insert_overwrite_merge_sql": {"name": "default__get_insert_overwrite_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "unique_id": "macro.dbt.default__get_insert_overwrite_merge_sql", "macro_sql": "{% macro default__get_insert_overwrite_merge_sql(target, source, dest_columns, predicates, include_sql_header) -%}\n    {#-- The only time include_sql_header is True: --#}\n    {#-- BigQuery + insert_overwrite strategy + \"static\" partitions config --#}\n    {#-- We should consider including the sql header at the materialization level instead --#}\n\n    {%- set predicates = [] if predicates is none else [] + predicates -%}\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n    {%- set sql_header = config.get('sql_header', none) -%}\n\n    {{ sql_header if sql_header is not none and include_sql_header }}\n\n    merge into {{ target }} as DBT_INTERNAL_DEST\n        using {{ source }} as DBT_INTERNAL_SOURCE\n        on FALSE\n\n    when not matched by source\n        {% if predicates %} and {{ predicates | join(' and ') }} {% endif %}\n        then delete\n\n    when not matched then insert\n        ({{ dest_cols_csv }})\n    values\n        ({{ dest_cols_csv }})\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4007099, "supported_languages": null}, "macro.dbt.is_incremental": {"name": "is_incremental", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/is_incremental.sql", "original_file_path": "macros/materializations/models/incremental/is_incremental.sql", "unique_id": "macro.dbt.is_incremental", "macro_sql": "{% macro is_incremental() %}\n    {#-- do not run introspective queries in parsing #}\n    {% if not execute %}\n        {{ return(False) }}\n    {% else %}\n        {% set relation = adapter.get_relation(this.database, this.schema, this.table) %}\n        {{ return(relation is not none\n                  and relation.type == 'table'\n                  and model.config.materialized == 'incremental'\n                  and not should_full_refresh()) }}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.40137, "supported_languages": null}, "macro.dbt.get_incremental_append_sql": {"name": "get_incremental_append_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_append_sql", "macro_sql": "{% macro get_incremental_append_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_append_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_append_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4022741, "supported_languages": null}, "macro.dbt.default__get_incremental_append_sql": {"name": "default__get_incremental_append_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_append_sql", "macro_sql": "{% macro default__get_incremental_append_sql(arg_dict) %}\n\n  {% do return(get_insert_into_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"dest_columns\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_insert_into_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.402527, "supported_languages": null}, "macro.dbt.get_incremental_delete_insert_sql": {"name": "get_incremental_delete_insert_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_delete_insert_sql", "macro_sql": "{% macro get_incremental_delete_insert_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_delete_insert_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_delete_insert_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.402731, "supported_languages": null}, "macro.dbt.default__get_incremental_delete_insert_sql": {"name": "default__get_incremental_delete_insert_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_delete_insert_sql", "macro_sql": "{% macro default__get_incremental_delete_insert_sql(arg_dict) %}\n\n  {% do return(get_delete_insert_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"unique_key\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_delete_insert_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.403039, "supported_languages": null}, "macro.dbt.get_incremental_merge_sql": {"name": "get_incremental_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_merge_sql", "macro_sql": "{% macro get_incremental_merge_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_merge_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4033, "supported_languages": null}, "macro.dbt.default__get_incremental_merge_sql": {"name": "default__get_incremental_merge_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_merge_sql", "macro_sql": "{% macro default__get_incremental_merge_sql(arg_dict) %}\n\n  {% do return(get_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"unique_key\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.403611, "supported_languages": null}, "macro.dbt.get_incremental_insert_overwrite_sql": {"name": "get_incremental_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_insert_overwrite_sql", "macro_sql": "{% macro get_incremental_insert_overwrite_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_insert_overwrite_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_insert_overwrite_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4038138, "supported_languages": null}, "macro.dbt.default__get_incremental_insert_overwrite_sql": {"name": "default__get_incremental_insert_overwrite_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_insert_overwrite_sql", "macro_sql": "{% macro default__get_incremental_insert_overwrite_sql(arg_dict) %}\n\n  {% do return(get_insert_overwrite_merge_sql(arg_dict[\"target_relation\"], arg_dict[\"temp_relation\"], arg_dict[\"dest_columns\"], arg_dict[\"incremental_predicates\"])) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4041002, "supported_languages": null}, "macro.dbt.get_incremental_default_sql": {"name": "get_incremental_default_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_incremental_default_sql", "macro_sql": "{% macro get_incremental_default_sql(arg_dict) %}\n\n  {{ return(adapter.dispatch('get_incremental_default_sql', 'dbt')(arg_dict)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_incremental_default_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4042938, "supported_languages": null}, "macro.dbt.default__get_incremental_default_sql": {"name": "default__get_incremental_default_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.default__get_incremental_default_sql", "macro_sql": "{% macro default__get_incremental_default_sql(arg_dict) %}\n\n  {% do return(get_incremental_append_sql(arg_dict)) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_incremental_append_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4044511, "supported_languages": null}, "macro.dbt.get_insert_into_sql": {"name": "get_insert_into_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/strategies.sql", "original_file_path": "macros/materializations/models/incremental/strategies.sql", "unique_id": "macro.dbt.get_insert_into_sql", "macro_sql": "{% macro get_insert_into_sql(target_relation, temp_relation, dest_columns) %}\n\n    {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n    insert into {{ target_relation }} ({{ dest_cols_csv }})\n    (\n        select {{ dest_cols_csv }}\n        from {{ temp_relation }}\n    )\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.404742, "supported_languages": null}, "macro.dbt.materialization_incremental_default": {"name": "materialization_incremental_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/incremental.sql", "original_file_path": "macros/materializations/models/incremental/incremental.sql", "unique_id": "macro.dbt.materialization_incremental_default", "macro_sql": "{% materialization incremental, default -%}\n\n  -- relations\n  {%- set existing_relation = load_cached_relation(this) -%}\n  {%- set target_relation = this.incorporate(type='table') -%}\n  {%- set temp_relation = make_temp_relation(target_relation)-%}\n  {%- set intermediate_relation = make_intermediate_relation(target_relation)-%}\n  {%- set backup_relation_type = 'table' if existing_relation is none else existing_relation.type -%}\n  {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n\n  -- configs\n  {%- set unique_key = config.get('unique_key') -%}\n  {%- set full_refresh_mode = (should_full_refresh()  or existing_relation.is_view) -%}\n  {%- set on_schema_change = incremental_validate_on_schema_change(config.get('on_schema_change'), default='ignore') -%}\n\n  -- the temp_ and backup_ relations should not already exist in the database; get_relation\n  -- will return None in that case. Otherwise, we get a relation that we can drop\n  -- later, before we try to use this name for the current operation. This has to happen before\n  -- BEGIN, in a separate transaction\n  {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation)-%}\n  {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n   -- grab current tables grants config for comparision later on\n  {% set grant_config = config.get('grants') %}\n  {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n  {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  {% set to_drop = [] %}\n\n  {% if existing_relation is none %}\n      {% set build_sql = get_create_table_as_sql(False, target_relation, sql) %}\n  {% elif full_refresh_mode %}\n      {% set build_sql = get_create_table_as_sql(False, intermediate_relation, sql) %}\n      {% set need_swap = true %}\n  {% else %}\n    {% do run_query(get_create_table_as_sql(True, temp_relation, sql)) %}\n    {% do adapter.expand_target_column_types(\n             from_relation=temp_relation,\n             to_relation=target_relation) %}\n    {#-- Process schema changes. Returns dict of changes if successful. Use source columns for upserting/merging --#}\n    {% set dest_columns = process_schema_changes(on_schema_change, temp_relation, existing_relation) %}\n    {% if not dest_columns %}\n      {% set dest_columns = adapter.get_columns_in_relation(existing_relation) %}\n    {% endif %}\n\n    {#-- Get the incremental_strategy, the macro to use for the strategy, and build the sql --#}\n    {% set incremental_strategy = config.get('incremental_strategy') or 'default' %}\n    {% set incremental_predicates = config.get('predicates', none) or config.get('incremental_predicates', none) %}\n    {% set strategy_sql_macro_func = adapter.get_incremental_strategy_macro(context, incremental_strategy) %}\n    {% set strategy_arg_dict = ({'target_relation': target_relation, 'temp_relation': temp_relation, 'unique_key': unique_key, 'dest_columns': dest_columns, 'incremental_predicates': incremental_predicates }) %}\n    {% set build_sql = strategy_sql_macro_func(strategy_arg_dict) %}\n\n  {% endif %}\n\n  {% call statement(\"main\") %}\n      {{ build_sql }}\n  {% endcall %}\n\n  {% if need_swap %}\n      {% do adapter.rename_relation(target_relation, backup_relation) %}\n      {% do adapter.rename_relation(intermediate_relation, target_relation) %}\n      {% do to_drop.append(backup_relation) %}\n  {% endif %}\n\n  {% set should_revoke = should_revoke(existing_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if existing_relation is none or existing_relation.is_view or should_full_refresh() %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  -- `COMMIT` happens here\n  {% do adapter.commit() %}\n\n  {% for rel in to_drop %}\n      {% do adapter.drop_relation(rel) %}\n  {% endfor %}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_temp_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.should_full_refresh", "macro.dbt.incremental_validate_on_schema_change", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks", "macro.dbt.get_create_table_as_sql", "macro.dbt.run_query", "macro.dbt.process_schema_changes", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.410145, "supported_languages": ["sql"]}, "macro.dbt.incremental_validate_on_schema_change": {"name": "incremental_validate_on_schema_change", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.incremental_validate_on_schema_change", "macro_sql": "{% macro incremental_validate_on_schema_change(on_schema_change, default='ignore') %}\n\n   {% if on_schema_change not in ['sync_all_columns', 'append_new_columns', 'fail', 'ignore'] %}\n\n     {% set log_message = 'Invalid value for on_schema_change (%s) specified. Setting default value of %s.' % (on_schema_change, default) %}\n     {% do log(log_message) %}\n\n     {{ return(default) }}\n\n   {% else %}\n\n     {{ return(on_schema_change) }}\n\n   {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4159338, "supported_languages": null}, "macro.dbt.check_for_schema_changes": {"name": "check_for_schema_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.check_for_schema_changes", "macro_sql": "{% macro check_for_schema_changes(source_relation, target_relation) %}\n\n  {% set schema_changed = False %}\n\n  {%- set source_columns = adapter.get_columns_in_relation(source_relation) -%}\n  {%- set target_columns = adapter.get_columns_in_relation(target_relation) -%}\n  {%- set source_not_in_target = diff_columns(source_columns, target_columns) -%}\n  {%- set target_not_in_source = diff_columns(target_columns, source_columns) -%}\n\n  {% set new_target_types = diff_column_data_types(source_columns, target_columns) %}\n\n  {% if source_not_in_target != [] %}\n    {% set schema_changed = True %}\n  {% elif target_not_in_source != [] or new_target_types != [] %}\n    {% set schema_changed = True %}\n  {% elif new_target_types != [] %}\n    {% set schema_changed = True %}\n  {% endif %}\n\n  {% set changes_dict = {\n    'schema_changed': schema_changed,\n    'source_not_in_target': source_not_in_target,\n    'target_not_in_source': target_not_in_source,\n    'source_columns': source_columns,\n    'target_columns': target_columns,\n    'new_target_types': new_target_types\n  } %}\n\n  {% set msg %}\n    In {{ target_relation }}:\n        Schema changed: {{ schema_changed }}\n        Source columns not in target: {{ source_not_in_target }}\n        Target columns not in source: {{ target_not_in_source }}\n        New column types: {{ new_target_types }}\n  {% endset %}\n\n  {% do log(msg) %}\n\n  {{ return(changes_dict) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.diff_columns", "macro.dbt.diff_column_data_types"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.41721, "supported_languages": null}, "macro.dbt.sync_column_schemas": {"name": "sync_column_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.sync_column_schemas", "macro_sql": "{% macro sync_column_schemas(on_schema_change, target_relation, schema_changes_dict) %}\n\n  {%- set add_to_target_arr = schema_changes_dict['source_not_in_target'] -%}\n\n  {%- if on_schema_change == 'append_new_columns'-%}\n     {%- if add_to_target_arr | length > 0 -%}\n       {%- do alter_relation_add_remove_columns(target_relation, add_to_target_arr, none) -%}\n     {%- endif -%}\n\n  {% elif on_schema_change == 'sync_all_columns' %}\n     {%- set remove_from_target_arr = schema_changes_dict['target_not_in_source'] -%}\n     {%- set new_target_types = schema_changes_dict['new_target_types'] -%}\n\n     {% if add_to_target_arr | length > 0 or remove_from_target_arr | length > 0 %}\n       {%- do alter_relation_add_remove_columns(target_relation, add_to_target_arr, remove_from_target_arr) -%}\n     {% endif %}\n\n     {% if new_target_types != [] %}\n       {% for ntt in new_target_types %}\n         {% set column_name = ntt['column_name'] %}\n         {% set new_type = ntt['new_type'] %}\n         {% do alter_column_type(target_relation, column_name, new_type) %}\n       {% endfor %}\n     {% endif %}\n\n  {% endif %}\n\n  {% set schema_change_message %}\n    In {{ target_relation }}:\n        Schema change approach: {{ on_schema_change }}\n        Columns added: {{ add_to_target_arr }}\n        Columns removed: {{ remove_from_target_arr }}\n        Data types changed: {{ new_target_types }}\n  {% endset %}\n\n  {% do log(schema_change_message) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.alter_relation_add_remove_columns", "macro.dbt.alter_column_type"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.418475, "supported_languages": null}, "macro.dbt.process_schema_changes": {"name": "process_schema_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "unique_id": "macro.dbt.process_schema_changes", "macro_sql": "{% macro process_schema_changes(on_schema_change, source_relation, target_relation) %}\n\n    {% if on_schema_change == 'ignore' %}\n\n     {{ return({}) }}\n\n    {% else %}\n\n      {% set schema_changes_dict = check_for_schema_changes(source_relation, target_relation) %}\n\n      {% if schema_changes_dict['schema_changed'] %}\n\n        {% if on_schema_change == 'fail' %}\n\n          {% set fail_msg %}\n              The source and target schemas on this incremental model are out of sync!\n              They can be reconciled in several ways:\n                - set the `on_schema_change` config to either append_new_columns or sync_all_columns, depending on your situation.\n                - Re-run the incremental model with `full_refresh: True` to update the target schema.\n                - update the schema manually and re-run the process.\n\n              Additional troubleshooting context:\n                 Source columns not in target: {{ schema_changes_dict['source_not_in_target'] }}\n                 Target columns not in source: {{ schema_changes_dict['target_not_in_source'] }}\n                 New column types: {{ schema_changes_dict['new_target_types'] }}\n          {% endset %}\n\n          {% do exceptions.raise_compiler_error(fail_msg) %}\n\n        {# -- unless we ignore, run the sync operation per the config #}\n        {% else %}\n\n          {% do sync_column_schemas(on_schema_change, target_relation, schema_changes_dict) %}\n\n        {% endif %}\n\n      {% endif %}\n\n      {{ return(schema_changes_dict['source_columns']) }}\n\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.check_for_schema_changes", "macro.dbt.sync_column_schemas"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.419368, "supported_languages": null}, "macro.dbt.can_clone_table": {"name": "can_clone_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/clone/can_clone_table.sql", "original_file_path": "macros/materializations/models/clone/can_clone_table.sql", "unique_id": "macro.dbt.can_clone_table", "macro_sql": "{% macro can_clone_table() %}\n    {{ return(adapter.dispatch('can_clone_table', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__can_clone_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4196181, "supported_languages": null}, "macro.dbt.default__can_clone_table": {"name": "default__can_clone_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/clone/can_clone_table.sql", "original_file_path": "macros/materializations/models/clone/can_clone_table.sql", "unique_id": "macro.dbt.default__can_clone_table", "macro_sql": "{% macro default__can_clone_table() %}\n    {{ return(False) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.419744, "supported_languages": null}, "macro.dbt.create_or_replace_clone": {"name": "create_or_replace_clone", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/clone/create_or_replace_clone.sql", "original_file_path": "macros/materializations/models/clone/create_or_replace_clone.sql", "unique_id": "macro.dbt.create_or_replace_clone", "macro_sql": "{% macro create_or_replace_clone(this_relation, defer_relation) %}\n    {{ return(adapter.dispatch('create_or_replace_clone', 'dbt')(this_relation, defer_relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_or_replace_clone"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.420057, "supported_languages": null}, "macro.dbt.default__create_or_replace_clone": {"name": "default__create_or_replace_clone", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/clone/create_or_replace_clone.sql", "original_file_path": "macros/materializations/models/clone/create_or_replace_clone.sql", "unique_id": "macro.dbt.default__create_or_replace_clone", "macro_sql": "{% macro default__create_or_replace_clone(this_relation, defer_relation) %}\n    create or replace table {{ this_relation }} clone {{ defer_relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.420205, "supported_languages": null}, "macro.dbt.materialization_clone_default": {"name": "materialization_clone_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/models/clone/clone.sql", "original_file_path": "macros/materializations/models/clone/clone.sql", "unique_id": "macro.dbt.materialization_clone_default", "macro_sql": "{%- materialization clone, default -%}\n\n  {%- set relations = {'relations': []} -%}\n\n  {%- if not defer_relation -%}\n      -- nothing to do\n      {{ log(\"No relation found in state manifest for \" ~ model.unique_id, info=True) }}\n      {{ return(relations) }}\n  {%- endif -%}\n\n  {%- set existing_relation = load_cached_relation(this) -%}\n\n  {%- if existing_relation and not flags.FULL_REFRESH -%}\n      -- noop!\n      {{ log(\"Relation \" ~ existing_relation ~ \" already exists\", info=True) }}\n      {{ return(relations) }}\n  {%- endif -%}\n\n  {%- set other_existing_relation = load_cached_relation(defer_relation) -%}\n\n  -- If this is a database that can do zero-copy cloning of tables, and the other relation is a table, then this will be a table\n  -- Otherwise, this will be a view\n\n  {% set can_clone_table = can_clone_table() %}\n\n  {%- if other_existing_relation and other_existing_relation.type == 'table' and can_clone_table -%}\n\n      {%- set target_relation = this.incorporate(type='table') -%}\n      {% if existing_relation is not none and not existing_relation.is_table %}\n        {{ log(\"Dropping relation \" ~ existing_relation ~ \" because it is of type \" ~ existing_relation.type) }}\n        {{ drop_relation_if_exists(existing_relation) }}\n      {% endif %}\n\n      -- as a general rule, data platforms that can clone tables can also do atomic 'create or replace'\n      {% call statement('main') %}\n          {% if target_relation and defer_relation and target_relation == defer_relation %}\n              {{ log(\"Target relation and defer relation are the same, skipping clone for relation: \" ~ target_relation) }}\n          {% else %}\n              {{ create_or_replace_clone(target_relation, defer_relation) }}\n          {% endif %}\n\n      {% endcall %}\n\n      {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n      {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n      {% do persist_docs(target_relation, model) %}\n\n      {{ return({'relations': [target_relation]}) }}\n\n  {%- else -%}\n\n      {%- set target_relation = this.incorporate(type='view') -%}\n\n      -- reuse the view materialization\n      -- TODO: support actual dispatch for materialization macros\n      -- Tracking ticket: https://github.com/dbt-labs/dbt-core/issues/7799\n      {% set search_name = \"materialization_view_\" ~ adapter.type() %}\n      {% if not search_name in context %}\n          {% set search_name = \"materialization_view_default\" %}\n      {% endif %}\n      {% set materialization_macro = context[search_name] %}\n      {% set relations = materialization_macro() %}\n      {{ return(relations) }}\n\n  {%- endif -%}\n\n{%- endmaterialization -%}", "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.can_clone_table", "macro.dbt.drop_relation_if_exists", "macro.dbt.statement", "macro.dbt.create_or_replace_clone", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.424056, "supported_languages": ["sql"]}, "macro.dbt.materialization_seed_default": {"name": "materialization_seed_default", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/seed.sql", "original_file_path": "macros/materializations/seeds/seed.sql", "unique_id": "macro.dbt.materialization_seed_default", "macro_sql": "{% materialization seed, default %}\n\n  {%- set identifier = model['alias'] -%}\n  {%- set full_refresh_mode = (should_full_refresh()) -%}\n\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n\n  {%- set exists_as_table = (old_relation is not none and old_relation.is_table) -%}\n  {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n  {%- set grant_config = config.get('grants') -%}\n  {%- set agate_table = load_agate_table() -%}\n  -- grab current tables grants config for comparison later on\n\n  {%- do store_result('agate_table', response='OK', agate_table=agate_table) -%}\n\n  {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n  -- `BEGIN` happens here:\n  {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n  -- build model\n  {% set create_table_sql = \"\" %}\n  {% if exists_as_view %}\n    {{ exceptions.raise_compiler_error(\"Cannot seed to '{}', it is a view\".format(old_relation)) }}\n  {% elif exists_as_table %}\n    {% set create_table_sql = reset_csv_table(model, full_refresh_mode, old_relation, agate_table) %}\n  {% else %}\n    {% set create_table_sql = create_csv_table(model, agate_table) %}\n  {% endif %}\n\n  {% set code = 'CREATE' if full_refresh_mode else 'INSERT' %}\n  {% set rows_affected = (agate_table.rows | length) %}\n  {% set sql = load_csv_rows(model, agate_table) %}\n\n  {% call noop_statement('main', code ~ ' ' ~ rows_affected, code, rows_affected) %}\n    {{ get_csv_sql(create_table_sql, sql) }};\n  {% endcall %}\n\n  {% set target_relation = this.incorporate(type='table') %}\n\n  {% set should_revoke = should_revoke(old_relation, full_refresh_mode) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {% do persist_docs(target_relation, model) %}\n\n  {% if full_refresh_mode or not exists_as_table %}\n    {% do create_indexes(target_relation) %}\n  {% endif %}\n\n  {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n  -- `COMMIT` happens here\n  {{ adapter.commit() }}\n\n  {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "depends_on": {"macros": ["macro.dbt.should_full_refresh", "macro.dbt.run_hooks", "macro.dbt.reset_csv_table", "macro.dbt.create_csv_table", "macro.dbt.load_csv_rows", "macro.dbt.noop_statement", "macro.dbt.get_csv_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.427391, "supported_languages": ["sql"]}, "macro.dbt.create_csv_table": {"name": "create_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.create_csv_table", "macro_sql": "{% macro create_csv_table(model, agate_table) -%}\n  {{ adapter.dispatch('create_csv_table', 'dbt')(model, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.432786, "supported_languages": null}, "macro.dbt.default__create_csv_table": {"name": "default__create_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__create_csv_table", "macro_sql": "{% macro default__create_csv_table(model, agate_table) %}\n  {%- set column_override = model['config'].get('column_types', {}) -%}\n  {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}\n\n  {% set sql %}\n    create table {{ this.render() }} (\n        {%- for col_name in agate_table.column_names -%}\n            {%- set inferred_type = adapter.convert_type(agate_table, loop.index0) -%}\n            {%- set type = column_override.get(col_name, inferred_type) -%}\n            {%- set column_name = (col_name | string) -%}\n            {{ adapter.quote_seed_column(column_name, quote_seed_column) }} {{ type }} {%- if not loop.last -%}, {%- endif -%}\n        {%- endfor -%}\n    )\n  {% endset %}\n\n  {% call statement('_') -%}\n    {{ sql }}\n  {%- endcall %}\n\n  {{ return(sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.433731, "supported_languages": null}, "macro.dbt.reset_csv_table": {"name": "reset_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.reset_csv_table", "macro_sql": "{% macro reset_csv_table(model, full_refresh, old_relation, agate_table) -%}\n  {{ adapter.dispatch('reset_csv_table', 'dbt')(model, full_refresh, old_relation, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__reset_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.433975, "supported_languages": null}, "macro.dbt.default__reset_csv_table": {"name": "default__reset_csv_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__reset_csv_table", "macro_sql": "{% macro default__reset_csv_table(model, full_refresh, old_relation, agate_table) %}\n    {% set sql = \"\" %}\n    {% if full_refresh %}\n        {{ adapter.drop_relation(old_relation) }}\n        {% set sql = create_csv_table(model, agate_table) %}\n    {% else %}\n        {{ adapter.truncate_relation(old_relation) }}\n        {% set sql = \"truncate table \" ~ old_relation %}\n    {% endif %}\n\n    {{ return(sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.434474, "supported_languages": null}, "macro.dbt.get_csv_sql": {"name": "get_csv_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_csv_sql", "macro_sql": "{% macro get_csv_sql(create_or_truncate_sql, insert_sql) %}\n    {{ adapter.dispatch('get_csv_sql', 'dbt')(create_or_truncate_sql, insert_sql) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_csv_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.434672, "supported_languages": null}, "macro.dbt.default__get_csv_sql": {"name": "default__get_csv_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_csv_sql", "macro_sql": "{% macro default__get_csv_sql(create_or_truncate_sql, insert_sql) %}\n    {{ create_or_truncate_sql }};\n    -- dbt seed --\n    {{ insert_sql }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.434807, "supported_languages": null}, "macro.dbt.get_binding_char": {"name": "get_binding_char", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_binding_char", "macro_sql": "{% macro get_binding_char() -%}\n  {{ adapter.dispatch('get_binding_char', 'dbt')() }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_binding_char"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.434952, "supported_languages": null}, "macro.dbt.default__get_binding_char": {"name": "default__get_binding_char", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_binding_char", "macro_sql": "{% macro default__get_binding_char() %}\n  {{ return('%s') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.435071, "supported_languages": null}, "macro.dbt.get_batch_size": {"name": "get_batch_size", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_batch_size", "macro_sql": "{% macro get_batch_size() -%}\n  {{ return(adapter.dispatch('get_batch_size', 'dbt')()) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_batch_size"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.435234, "supported_languages": null}, "macro.dbt.default__get_batch_size": {"name": "default__get_batch_size", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__get_batch_size", "macro_sql": "{% macro default__get_batch_size() %}\n  {{ return(10000) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.435354, "supported_languages": null}, "macro.dbt.get_seed_column_quoted_csv": {"name": "get_seed_column_quoted_csv", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.get_seed_column_quoted_csv", "macro_sql": "{% macro get_seed_column_quoted_csv(model, column_names) %}\n  {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}\n    {% set quoted = [] %}\n    {% for col in column_names -%}\n        {%- do quoted.append(adapter.quote_seed_column(col, quote_seed_column)) -%}\n    {%- endfor %}\n\n    {%- set dest_cols_csv = quoted | join(', ') -%}\n    {{ return(dest_cols_csv) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4358568, "supported_languages": null}, "macro.dbt.load_csv_rows": {"name": "load_csv_rows", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.load_csv_rows", "macro_sql": "{% macro load_csv_rows(model, agate_table) -%}\n  {{ adapter.dispatch('load_csv_rows', 'dbt')(model, agate_table) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__load_csv_rows"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.43605, "supported_languages": null}, "macro.dbt.default__load_csv_rows": {"name": "default__load_csv_rows", "resource_type": "macro", "package_name": "dbt", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "unique_id": "macro.dbt.default__load_csv_rows", "macro_sql": "{% macro default__load_csv_rows(model, agate_table) %}\n\n  {% set batch_size = get_batch_size() %}\n\n  {% set cols_sql = get_seed_column_quoted_csv(model, agate_table.column_names) %}\n  {% set bindings = [] %}\n\n  {% set statements = [] %}\n\n  {% for chunk in agate_table.rows | batch(batch_size) %}\n      {% set bindings = [] %}\n\n      {% for row in chunk %}\n          {% do bindings.extend(row) %}\n      {% endfor %}\n\n      {% set sql %}\n          insert into {{ this.render() }} ({{ cols_sql }}) values\n          {% for row in chunk -%}\n              ({%- for column in agate_table.column_names -%}\n                  {{ get_binding_char() }}\n                  {%- if not loop.last%},{%- endif %}\n              {%- endfor -%})\n              {%- if not loop.last%},{%- endif %}\n          {%- endfor %}\n      {% endset %}\n\n      {% do adapter.add_query(sql, bindings=bindings, abridge_sql_log=True) %}\n\n      {% if loop.index0 == 0 %}\n          {% do statements.append(sql) %}\n      {% endif %}\n  {% endfor %}\n\n  {# Return SQL so we can render it out into the compiled files #}\n  {{ return(statements[0]) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_batch_size", "macro.dbt.get_seed_column_quoted_csv", "macro.dbt.get_binding_char"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.437381, "supported_languages": null}, "macro.dbt.generate_alias_name": {"name": "generate_alias_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_alias.sql", "original_file_path": "macros/get_custom_name/get_custom_alias.sql", "unique_id": "macro.dbt.generate_alias_name", "macro_sql": "{% macro generate_alias_name(custom_alias_name=none, node=none) -%}\n    {% do return(adapter.dispatch('generate_alias_name', 'dbt')(custom_alias_name, node)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_alias_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.43783, "supported_languages": null}, "macro.dbt.default__generate_alias_name": {"name": "default__generate_alias_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_alias.sql", "original_file_path": "macros/get_custom_name/get_custom_alias.sql", "unique_id": "macro.dbt.default__generate_alias_name", "macro_sql": "{% macro default__generate_alias_name(custom_alias_name=none, node=none) -%}\n\n    {%- if custom_alias_name -%}\n\n        {{ custom_alias_name | trim }}\n\n    {%- elif node.version -%}\n\n        {{ return(node.name ~ \"_v\" ~ (node.version | replace(\".\", \"_\"))) }}\n\n    {%- else -%}\n\n        {{ node.name }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.438227, "supported_languages": null}, "macro.dbt.generate_schema_name": {"name": "generate_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.generate_schema_name", "macro_sql": "{% macro generate_schema_name(custom_schema_name=none, node=none) -%}\n    {{ return(adapter.dispatch('generate_schema_name', 'dbt')(custom_schema_name, node)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_schema_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.438754, "supported_languages": null}, "macro.dbt.default__generate_schema_name": {"name": "default__generate_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.default__generate_schema_name", "macro_sql": "{% macro default__generate_schema_name(custom_schema_name, node) -%}\n\n    {%- set default_schema = target.schema -%}\n    {%- if custom_schema_name is none -%}\n\n        {{ default_schema }}\n\n    {%- else -%}\n\n        {{ default_schema }}_{{ custom_schema_name | trim }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4390268, "supported_languages": null}, "macro.dbt.generate_schema_name_for_env": {"name": "generate_schema_name_for_env", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "unique_id": "macro.dbt.generate_schema_name_for_env", "macro_sql": "{% macro generate_schema_name_for_env(custom_schema_name, node) -%}\n\n    {%- set default_schema = target.schema -%}\n    {%- if target.name == 'prod' and custom_schema_name is not none -%}\n\n        {{ custom_schema_name | trim }}\n\n    {%- else -%}\n\n        {{ default_schema }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4393191, "supported_languages": null}, "macro.dbt.generate_database_name": {"name": "generate_database_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_database.sql", "original_file_path": "macros/get_custom_name/get_custom_database.sql", "unique_id": "macro.dbt.generate_database_name", "macro_sql": "{% macro generate_database_name(custom_database_name=none, node=none) -%}\n    {% do return(adapter.dispatch('generate_database_name', 'dbt')(custom_database_name, node)) %}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_database_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.439727, "supported_languages": null}, "macro.dbt.default__generate_database_name": {"name": "default__generate_database_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/get_custom_name/get_custom_database.sql", "original_file_path": "macros/get_custom_name/get_custom_database.sql", "unique_id": "macro.dbt.default__generate_database_name", "macro_sql": "{% macro default__generate_database_name(custom_database_name=none, node=none) -%}\n    {%- set default_database = target.database -%}\n    {%- if custom_database_name is none -%}\n\n        {{ default_database }}\n\n    {%- else -%}\n\n        {{ custom_database_name }}\n\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4399848, "supported_languages": null}, "macro.dbt.get_drop_sql": {"name": "get_drop_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/drop.sql", "original_file_path": "macros/relations/drop.sql", "unique_id": "macro.dbt.get_drop_sql", "macro_sql": "{%- macro get_drop_sql(relation) -%}\n    {{- log('Applying DROP to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_drop_sql', 'dbt')(relation) -}}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": ["macro.dbt.default__get_drop_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4407191, "supported_languages": null}, "macro.dbt.default__get_drop_sql": {"name": "default__get_drop_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/drop.sql", "original_file_path": "macros/relations/drop.sql", "unique_id": "macro.dbt.default__get_drop_sql", "macro_sql": "{%- macro default__get_drop_sql(relation) -%}\n\n    {%- if relation.is_view -%}\n        {{ drop_view(relation) }}\n\n    {%- elif relation.is_table -%}\n        {{ drop_table(relation) }}\n\n    {%- elif relation.is_materialized_view -%}\n        {{ drop_materialized_view(relation) }}\n\n    {%- else -%}\n        drop {{ relation.type }} if exists {{ relation }} cascade\n\n    {%- endif -%}\n\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": ["macro.dbt.drop_view", "macro.dbt.drop_table", "macro.dbt.drop_materialized_view"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.441113, "supported_languages": null}, "macro.dbt.drop_relation": {"name": "drop_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/drop.sql", "original_file_path": "macros/relations/drop.sql", "unique_id": "macro.dbt.drop_relation", "macro_sql": "{% macro drop_relation(relation) -%}\n    {{ return(adapter.dispatch('drop_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__drop_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.441303, "supported_languages": null}, "macro.dbt.default__drop_relation": {"name": "default__drop_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/drop.sql", "original_file_path": "macros/relations/drop.sql", "unique_id": "macro.dbt.default__drop_relation", "macro_sql": "{% macro default__drop_relation(relation) -%}\n    {% call statement('drop_relation', auto_begin=False) -%}\n        {{ get_drop_sql(relation) }}\n    {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.get_drop_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.441514, "supported_languages": null}, "macro.dbt.drop_relation_if_exists": {"name": "drop_relation_if_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/drop.sql", "original_file_path": "macros/relations/drop.sql", "unique_id": "macro.dbt.drop_relation_if_exists", "macro_sql": "{% macro drop_relation_if_exists(relation) %}\n  {% if relation is not none %}\n    {{ adapter.drop_relation(relation) }}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4417229, "supported_languages": null}, "macro.dbt.get_replace_sql": {"name": "get_replace_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/replace.sql", "original_file_path": "macros/relations/replace.sql", "unique_id": "macro.dbt.get_replace_sql", "macro_sql": "{% macro get_replace_sql(existing_relation, target_relation, sql) %}\n    {{- log('Applying REPLACE to: ' ~ existing_relation) -}}\n    {{- adapter.dispatch('get_replace_sql', 'dbt')(existing_relation, target_relation, sql) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_replace_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.442537, "supported_languages": null}, "macro.dbt.default__get_replace_sql": {"name": "default__get_replace_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/replace.sql", "original_file_path": "macros/relations/replace.sql", "unique_id": "macro.dbt.default__get_replace_sql", "macro_sql": "{% macro default__get_replace_sql(existing_relation, target_relation, sql) %}\n\n    {# /* use a create or replace statement if possible */ #}\n\n    {% set is_replaceable = existing_relation.type == target_relation_type and existing_relation.can_be_replaced %}\n\n    {% if is_replaceable and existing_relation.is_view %}\n        {{ get_replace_view_sql(target_relation, sql) }}\n\n    {% elif is_replaceable and existing_relation.is_table %}\n        {{ get_replace_table_sql(target_relation, sql) }}\n\n    {% elif is_replaceable and existing_relation.is_materialized_view %}\n        {{ get_replace_materialized_view_sql(target_relation, sql) }}\n\n    {# /* a create or replace statement is not possible, so try to stage and/or backup to be safe */ #}\n\n    {# /* create target_relation as an intermediate relation, then swap it out with the existing one using a backup */ #}\n    {%- elif target_relation.can_be_renamed and existing_relation.can_be_renamed -%}\n        {{ get_create_intermediate_sql(target_relation, sql) }};\n        {{ get_create_backup_sql(existing_relation) }};\n        {{ get_rename_intermediate_sql(target_relation) }};\n        {{ get_drop_backup_sql(existing_relation) }}\n\n    {# /* create target_relation as an intermediate relation, then swap it out with the existing one without using a backup */ #}\n    {%- elif target_relation.can_be_renamed -%}\n        {{ get_create_intermediate_sql(target_relation, sql) }};\n        {{ get_drop_sql(existing_relation) }};\n        {{ get_rename_intermediate_sql(target_relation) }}\n\n    {# /* create target_relation in place by first backing up the existing relation */ #}\n    {%- elif existing_relation.can_be_renamed -%}\n        {{ get_create_backup_sql(existing_relation) }};\n        {{ get_create_sql(target_relation, sql) }};\n        {{ get_drop_backup_sql(existing_relation) }}\n\n    {# /* no renaming is allowed, so just drop and create */ #}\n    {%- else -%}\n        {{ get_drop_sql(existing_relation) }};\n        {{ get_create_sql(target_relation, sql) }}\n\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_replace_view_sql", "macro.dbt.get_replace_table_sql", "macro.dbt.get_replace_materialized_view_sql", "macro.dbt.get_create_intermediate_sql", "macro.dbt.get_create_backup_sql", "macro.dbt.get_rename_intermediate_sql", "macro.dbt.get_drop_backup_sql", "macro.dbt.get_drop_sql", "macro.dbt.get_create_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.443925, "supported_languages": null}, "macro.dbt.get_create_intermediate_sql": {"name": "get_create_intermediate_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/create_intermediate.sql", "original_file_path": "macros/relations/create_intermediate.sql", "unique_id": "macro.dbt.get_create_intermediate_sql", "macro_sql": "{%- macro get_create_intermediate_sql(relation, sql) -%}\n    {{- log('Applying CREATE INTERMEDIATE to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_create_intermediate_sql', 'dbt')(relation, sql) -}}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": ["macro.dbt.default__get_create_intermediate_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4443352, "supported_languages": null}, "macro.dbt.default__get_create_intermediate_sql": {"name": "default__get_create_intermediate_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/create_intermediate.sql", "original_file_path": "macros/relations/create_intermediate.sql", "unique_id": "macro.dbt.default__get_create_intermediate_sql", "macro_sql": "{%- macro default__get_create_intermediate_sql(relation, sql) -%}\n\n    -- get the standard intermediate name\n    {% set intermediate_relation = make_intermediate_relation(relation) %}\n\n    -- drop any pre-existing intermediate\n    {{ get_drop_sql(intermediate_relation) }};\n\n    {{ get_create_sql(intermediate_relation, sql) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.make_intermediate_relation", "macro.dbt.get_drop_sql", "macro.dbt.get_create_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.444597, "supported_languages": null}, "macro.dbt.get_drop_backup_sql": {"name": "get_drop_backup_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/drop_backup.sql", "original_file_path": "macros/relations/drop_backup.sql", "unique_id": "macro.dbt.get_drop_backup_sql", "macro_sql": "{%- macro get_drop_backup_sql(relation) -%}\n    {{- log('Applying DROP BACKUP to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_drop_backup_sql', 'dbt')(relation) -}}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": ["macro.dbt.default__get_drop_backup_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4449222, "supported_languages": null}, "macro.dbt.default__get_drop_backup_sql": {"name": "default__get_drop_backup_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/drop_backup.sql", "original_file_path": "macros/relations/drop_backup.sql", "unique_id": "macro.dbt.default__get_drop_backup_sql", "macro_sql": "{%- macro default__get_drop_backup_sql(relation) -%}\n\n    -- get the standard backup name\n    {% set backup_relation = make_backup_relation(relation, relation.type) %}\n\n    {{ get_drop_sql(backup_relation) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.make_backup_relation", "macro.dbt.get_drop_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.445139, "supported_languages": null}, "macro.dbt.get_rename_sql": {"name": "get_rename_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/rename.sql", "original_file_path": "macros/relations/rename.sql", "unique_id": "macro.dbt.get_rename_sql", "macro_sql": "{%- macro get_rename_sql(relation, new_name) -%}\n    {{- log('Applying RENAME to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_rename_sql', 'dbt')(relation, new_name) -}}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": ["macro.dbt.default__get_rename_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.445868, "supported_languages": null}, "macro.dbt.default__get_rename_sql": {"name": "default__get_rename_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/rename.sql", "original_file_path": "macros/relations/rename.sql", "unique_id": "macro.dbt.default__get_rename_sql", "macro_sql": "{%- macro default__get_rename_sql(relation, new_name) -%}\n\n    {%- if relation.is_view -%}\n        {{ get_rename_view_sql(relation, new_name) }}\n\n    {%- elif relation.is_table -%}\n        {{ get_rename_table_sql(relation, new_name) }}\n\n    {%- elif relation.is_materialized_view -%}\n        {{ get_rename_materialized_view_sql(relation, new_name) }}\n\n    {%- else -%}\n        {{- exceptions.raise_compiler_error(\"`get_rename_sql` has not been implemented for: \" ~ relation.type ) -}}\n\n    {%- endif -%}\n\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": ["macro.dbt.get_rename_view_sql", "macro.dbt.get_rename_table_sql", "macro.dbt.get_rename_materialized_view_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.446321, "supported_languages": null}, "macro.dbt.rename_relation": {"name": "rename_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/rename.sql", "original_file_path": "macros/relations/rename.sql", "unique_id": "macro.dbt.rename_relation", "macro_sql": "{% macro rename_relation(from_relation, to_relation) -%}\n  {{ return(adapter.dispatch('rename_relation', 'dbt')(from_relation, to_relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__rename_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.446542, "supported_languages": null}, "macro.dbt.default__rename_relation": {"name": "default__rename_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/rename.sql", "original_file_path": "macros/relations/rename.sql", "unique_id": "macro.dbt.default__rename_relation", "macro_sql": "{% macro default__rename_relation(from_relation, to_relation) -%}\n  {% set target_name = adapter.quote_as_configured(to_relation.identifier, 'identifier') %}\n  {% call statement('rename_relation') -%}\n    alter table {{ from_relation }} rename to {{ target_name }}\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.446838, "supported_languages": null}, "macro.dbt.get_create_backup_sql": {"name": "get_create_backup_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/create_backup.sql", "original_file_path": "macros/relations/create_backup.sql", "unique_id": "macro.dbt.get_create_backup_sql", "macro_sql": "{%- macro get_create_backup_sql(relation) -%}\n    {{- log('Applying CREATE BACKUP to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_create_backup_sql', 'dbt')(relation) -}}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": ["macro.dbt.default__get_create_backup_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.447189, "supported_languages": null}, "macro.dbt.default__get_create_backup_sql": {"name": "default__get_create_backup_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/create_backup.sql", "original_file_path": "macros/relations/create_backup.sql", "unique_id": "macro.dbt.default__get_create_backup_sql", "macro_sql": "{%- macro default__get_create_backup_sql(relation) -%}\n\n    -- get the standard backup name\n    {% set backup_relation = make_backup_relation(relation, relation.type) %}\n\n    -- drop any pre-existing backup\n    {{ get_drop_sql(backup_relation) }};\n\n    {{ get_rename_sql(relation, backup_relation.identifier) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.make_backup_relation", "macro.dbt.get_drop_sql", "macro.dbt.get_rename_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.447478, "supported_languages": null}, "macro.dbt.get_create_sql": {"name": "get_create_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/create.sql", "original_file_path": "macros/relations/create.sql", "unique_id": "macro.dbt.get_create_sql", "macro_sql": "{%- macro get_create_sql(relation, sql) -%}\n    {{- log('Applying CREATE to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_create_sql', 'dbt')(relation, sql) -}}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": ["macro.dbt.default__get_create_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.447958, "supported_languages": null}, "macro.dbt.default__get_create_sql": {"name": "default__get_create_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/create.sql", "original_file_path": "macros/relations/create.sql", "unique_id": "macro.dbt.default__get_create_sql", "macro_sql": "{%- macro default__get_create_sql(relation, sql) -%}\n\n    {%- if relation.is_view -%}\n        {{ get_create_view_as_sql(relation, sql) }}\n\n    {%- elif relation.is_table -%}\n        {{ get_create_table_as_sql(False, relation, sql) }}\n\n    {%- elif relation.is_materialized_view -%}\n        {{ get_create_materialized_view_as_sql(relation, sql) }}\n\n    {%- else -%}\n        {{- exceptions.raise_compiler_error(\"`get_create_sql` has not been implemented for: \" ~ relation.type ) -}}\n\n    {%- endif -%}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.get_create_view_as_sql", "macro.dbt.get_create_table_as_sql", "macro.dbt.get_create_materialized_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.448425, "supported_languages": null}, "macro.dbt.get_rename_intermediate_sql": {"name": "get_rename_intermediate_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/rename_intermediate.sql", "original_file_path": "macros/relations/rename_intermediate.sql", "unique_id": "macro.dbt.get_rename_intermediate_sql", "macro_sql": "{%- macro get_rename_intermediate_sql(relation) -%}\n    {{- log('Applying RENAME INTERMEDIATE to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_rename_intermediate_sql', 'dbt')(relation) -}}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": ["macro.dbt.default__get_rename_intermediate_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.448761, "supported_languages": null}, "macro.dbt.default__get_rename_intermediate_sql": {"name": "default__get_rename_intermediate_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/rename_intermediate.sql", "original_file_path": "macros/relations/rename_intermediate.sql", "unique_id": "macro.dbt.default__get_rename_intermediate_sql", "macro_sql": "{%- macro default__get_rename_intermediate_sql(relation) -%}\n\n    -- get the standard intermediate name\n    {% set intermediate_relation = make_intermediate_relation(relation) %}\n\n    {{ get_rename_sql(intermediate_relation, relation.identifier) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.make_intermediate_relation", "macro.dbt.get_rename_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.448983, "supported_languages": null}, "macro.dbt.drop_materialized_view": {"name": "drop_materialized_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/drop.sql", "original_file_path": "macros/relations/materialized_view/drop.sql", "unique_id": "macro.dbt.drop_materialized_view", "macro_sql": "{% macro drop_materialized_view(relation) -%}\n    {{ return(adapter.dispatch('drop_materialized_view', 'dbt')(relation)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__drop_materialized_view"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.449255, "supported_languages": null}, "macro.dbt.default__drop_materialized_view": {"name": "default__drop_materialized_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/drop.sql", "original_file_path": "macros/relations/materialized_view/drop.sql", "unique_id": "macro.dbt.default__drop_materialized_view", "macro_sql": "{% macro default__drop_materialized_view(relation) -%}\n    drop materialized view if exists {{ relation }} cascade\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.449367, "supported_languages": null}, "macro.dbt.get_replace_materialized_view_sql": {"name": "get_replace_materialized_view_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/replace.sql", "original_file_path": "macros/relations/materialized_view/replace.sql", "unique_id": "macro.dbt.get_replace_materialized_view_sql", "macro_sql": "{% macro get_replace_materialized_view_sql(relation, sql) %}\n    {{- adapter.dispatch('get_replace_materialized_view_sql', 'dbt')(relation, sql) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_replace_materialized_view_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.449645, "supported_languages": null}, "macro.dbt.default__get_replace_materialized_view_sql": {"name": "default__get_replace_materialized_view_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/replace.sql", "original_file_path": "macros/relations/materialized_view/replace.sql", "unique_id": "macro.dbt.default__get_replace_materialized_view_sql", "macro_sql": "{% macro default__get_replace_materialized_view_sql(relation, sql) %}\n    {{ exceptions.raise_compiler_error(\n        \"`get_replace_materialized_view_sql` has not been implemented for this adapter.\"\n    ) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.449825, "supported_languages": null}, "macro.dbt.refresh_materialized_view": {"name": "refresh_materialized_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/refresh.sql", "original_file_path": "macros/relations/materialized_view/refresh.sql", "unique_id": "macro.dbt.refresh_materialized_view", "macro_sql": "{% macro refresh_materialized_view(relation) %}\n    {{- log('Applying REFRESH to: ' ~ relation) -}}\n    {{- adapter.dispatch('refresh_materialized_view', 'dbt')(relation) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__refresh_materialized_view"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.450145, "supported_languages": null}, "macro.dbt.default__refresh_materialized_view": {"name": "default__refresh_materialized_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/refresh.sql", "original_file_path": "macros/relations/materialized_view/refresh.sql", "unique_id": "macro.dbt.default__refresh_materialized_view", "macro_sql": "{% macro default__refresh_materialized_view(relation) %}\n    {{ exceptions.raise_compiler_error(\"`refresh_materialized_view` has not been implemented for this adapter.\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4503481, "supported_languages": null}, "macro.dbt.get_rename_materialized_view_sql": {"name": "get_rename_materialized_view_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/rename.sql", "original_file_path": "macros/relations/materialized_view/rename.sql", "unique_id": "macro.dbt.get_rename_materialized_view_sql", "macro_sql": "{% macro get_rename_materialized_view_sql(relation, new_name) %}\n    {{- adapter.dispatch('get_rename_materialized_view_sql', 'dbt')(relation, new_name) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_rename_materialized_view_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.450649, "supported_languages": null}, "macro.dbt.default__get_rename_materialized_view_sql": {"name": "default__get_rename_materialized_view_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/rename.sql", "original_file_path": "macros/relations/materialized_view/rename.sql", "unique_id": "macro.dbt.default__get_rename_materialized_view_sql", "macro_sql": "{% macro default__get_rename_materialized_view_sql(relation, new_name) %}\n    {{ exceptions.raise_compiler_error(\n        \"`get_rename_materialized_view_sql` has not been implemented for this adapter.\"\n    ) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.450803, "supported_languages": null}, "macro.dbt.get_alter_materialized_view_as_sql": {"name": "get_alter_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/alter.sql", "original_file_path": "macros/relations/materialized_view/alter.sql", "unique_id": "macro.dbt.get_alter_materialized_view_as_sql", "macro_sql": "{% macro get_alter_materialized_view_as_sql(\n    relation,\n    configuration_changes,\n    sql,\n    existing_relation,\n    backup_relation,\n    intermediate_relation\n) %}\n    {{- log('Applying ALTER to: ' ~ relation) -}}\n    {{- adapter.dispatch('get_alter_materialized_view_as_sql', 'dbt')(\n        relation,\n        configuration_changes,\n        sql,\n        existing_relation,\n        backup_relation,\n        intermediate_relation\n    ) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_alter_materialized_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.451434, "supported_languages": null}, "macro.dbt.default__get_alter_materialized_view_as_sql": {"name": "default__get_alter_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/alter.sql", "original_file_path": "macros/relations/materialized_view/alter.sql", "unique_id": "macro.dbt.default__get_alter_materialized_view_as_sql", "macro_sql": "{% macro default__get_alter_materialized_view_as_sql(\n    relation,\n    configuration_changes,\n    sql,\n    existing_relation,\n    backup_relation,\n    intermediate_relation\n) %}\n    {{ exceptions.raise_compiler_error(\"Materialized views have not been implemented for this adapter.\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.45163, "supported_languages": null}, "macro.dbt.get_materialized_view_configuration_changes": {"name": "get_materialized_view_configuration_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/alter.sql", "original_file_path": "macros/relations/materialized_view/alter.sql", "unique_id": "macro.dbt.get_materialized_view_configuration_changes", "macro_sql": "{% macro get_materialized_view_configuration_changes(existing_relation, new_config) %}\n    /* {#\n    It's recommended that configuration changes be formatted as follows:\n    {\"<change_category>\": [{\"action\": \"<name>\", \"context\": ...}]}\n\n    For example:\n    {\n        \"indexes\": [\n            {\"action\": \"drop\", \"context\": \"index_abc\"},\n            {\"action\": \"create\", \"context\": {\"columns\": [\"column_1\", \"column_2\"], \"type\": \"hash\", \"unique\": True}},\n        ],\n    }\n\n    Either way, `get_materialized_view_configuration_changes` needs to align with `get_alter_materialized_view_as_sql`.\n    #} */\n    {{- log('Determining configuration changes on: ' ~ existing_relation) -}}\n    {%- do return(adapter.dispatch('get_materialized_view_configuration_changes', 'dbt')(existing_relation, new_config)) -%}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_materialized_view_configuration_changes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.451926, "supported_languages": null}, "macro.dbt.default__get_materialized_view_configuration_changes": {"name": "default__get_materialized_view_configuration_changes", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/alter.sql", "original_file_path": "macros/relations/materialized_view/alter.sql", "unique_id": "macro.dbt.default__get_materialized_view_configuration_changes", "macro_sql": "{% macro default__get_materialized_view_configuration_changes(existing_relation, new_config) %}\n    {{ exceptions.raise_compiler_error(\"Materialized views have not been implemented for this adapter.\") }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4520829, "supported_languages": null}, "macro.dbt.get_create_materialized_view_as_sql": {"name": "get_create_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/create.sql", "original_file_path": "macros/relations/materialized_view/create.sql", "unique_id": "macro.dbt.get_create_materialized_view_as_sql", "macro_sql": "{% macro get_create_materialized_view_as_sql(relation, sql) -%}\n    {{- adapter.dispatch('get_create_materialized_view_as_sql', 'dbt')(relation, sql) -}}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_create_materialized_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.452362, "supported_languages": null}, "macro.dbt.default__get_create_materialized_view_as_sql": {"name": "default__get_create_materialized_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/materialized_view/create.sql", "original_file_path": "macros/relations/materialized_view/create.sql", "unique_id": "macro.dbt.default__get_create_materialized_view_as_sql", "macro_sql": "{% macro default__get_create_materialized_view_as_sql(relation, sql) -%}\n    {{ exceptions.raise_compiler_error(\n        \"`get_create_materialized_view_as_sql` has not been implemented for this adapter.\"\n    ) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4525099, "supported_languages": null}, "macro.dbt.get_table_columns_and_constraints": {"name": "get_table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/column/columns_spec_ddl.sql", "original_file_path": "macros/relations/column/columns_spec_ddl.sql", "unique_id": "macro.dbt.get_table_columns_and_constraints", "macro_sql": "{%- macro get_table_columns_and_constraints() -%}\n  {{ adapter.dispatch('get_table_columns_and_constraints', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__get_table_columns_and_constraints"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.453585, "supported_languages": null}, "macro.dbt.default__get_table_columns_and_constraints": {"name": "default__get_table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/column/columns_spec_ddl.sql", "original_file_path": "macros/relations/column/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__get_table_columns_and_constraints", "macro_sql": "{% macro default__get_table_columns_and_constraints() -%}\n  {{ return(table_columns_and_constraints()) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.table_columns_and_constraints"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4537191, "supported_languages": null}, "macro.dbt.table_columns_and_constraints": {"name": "table_columns_and_constraints", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/column/columns_spec_ddl.sql", "original_file_path": "macros/relations/column/columns_spec_ddl.sql", "unique_id": "macro.dbt.table_columns_and_constraints", "macro_sql": "{% macro table_columns_and_constraints() %}\n  {# loop through user_provided_columns to create DDL with data types and constraints #}\n    {%- set raw_column_constraints = adapter.render_raw_columns_constraints(raw_columns=model['columns']) -%}\n    {%- set raw_model_constraints = adapter.render_raw_model_constraints(raw_constraints=model['constraints']) -%}\n    (\n    {% for c in raw_column_constraints -%}\n      {{ c }}{{ \",\" if not loop.last or raw_model_constraints }}\n    {% endfor %}\n    {% for c in raw_model_constraints -%}\n        {{ c }}{{ \",\" if not loop.last }}\n    {% endfor -%}\n    )\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4543092, "supported_languages": null}, "macro.dbt.get_assert_columns_equivalent": {"name": "get_assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/column/columns_spec_ddl.sql", "original_file_path": "macros/relations/column/columns_spec_ddl.sql", "unique_id": "macro.dbt.get_assert_columns_equivalent", "macro_sql": "\n\n{%- macro get_assert_columns_equivalent(sql) -%}\n  {{ adapter.dispatch('get_assert_columns_equivalent', 'dbt')(sql) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4544861, "supported_languages": null}, "macro.dbt.default__get_assert_columns_equivalent": {"name": "default__get_assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/column/columns_spec_ddl.sql", "original_file_path": "macros/relations/column/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__get_assert_columns_equivalent", "macro_sql": "{% macro default__get_assert_columns_equivalent(sql) -%}\n  {{ return(assert_columns_equivalent(sql)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4546251, "supported_languages": null}, "macro.dbt.assert_columns_equivalent": {"name": "assert_columns_equivalent", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/column/columns_spec_ddl.sql", "original_file_path": "macros/relations/column/columns_spec_ddl.sql", "unique_id": "macro.dbt.assert_columns_equivalent", "macro_sql": "{% macro assert_columns_equivalent(sql) %}\n\n  {#-- First ensure the user has defined 'columns' in yaml specification --#}\n  {%- set user_defined_columns = model['columns'] -%}\n  {%- if not user_defined_columns -%}\n      {{ exceptions.raise_contract_error([], []) }}\n  {%- endif -%}\n\n  {#-- Obtain the column schema provided by sql file. #}\n  {%- set sql_file_provided_columns = get_column_schema_from_query(sql, config.get('sql_header', none)) -%}\n  {#--Obtain the column schema provided by the schema file by generating an 'empty schema' query from the model's columns. #}\n  {%- set schema_file_provided_columns = get_column_schema_from_query(get_empty_schema_sql(user_defined_columns)) -%}\n\n  {#-- create dictionaries with name and formatted data type and strings for exception #}\n  {%- set sql_columns = format_columns(sql_file_provided_columns) -%}\n  {%- set yaml_columns = format_columns(schema_file_provided_columns)  -%}\n\n  {%- if sql_columns|length != yaml_columns|length -%}\n    {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n  {%- endif -%}\n\n  {%- for sql_col in sql_columns -%}\n    {%- set yaml_col = [] -%}\n    {%- for this_col in yaml_columns -%}\n      {%- if this_col['name'] == sql_col['name'] -%}\n        {%- do yaml_col.append(this_col) -%}\n        {%- break -%}\n      {%- endif -%}\n    {%- endfor -%}\n    {%- if not yaml_col -%}\n      {#-- Column with name not found in yaml #}\n      {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n    {%- endif -%}\n    {%- if sql_col['formatted'] != yaml_col[0]['formatted'] -%}\n      {#-- Column data types don't match #}\n      {%- do exceptions.raise_contract_error(yaml_columns, sql_columns) -%}\n    {%- endif -%}\n  {%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_column_schema_from_query", "macro.dbt.get_empty_schema_sql", "macro.dbt.format_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.456028, "supported_languages": null}, "macro.dbt.format_columns": {"name": "format_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/column/columns_spec_ddl.sql", "original_file_path": "macros/relations/column/columns_spec_ddl.sql", "unique_id": "macro.dbt.format_columns", "macro_sql": "{% macro format_columns(columns) %}\n  {% set formatted_columns = [] %}\n  {% for column in columns %}\n    {%- set formatted_column = adapter.dispatch('format_column', 'dbt')(column) -%}\n    {%- do formatted_columns.append(formatted_column) -%}\n  {% endfor %}\n  {{ return(formatted_columns) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__format_column"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.456434, "supported_languages": null}, "macro.dbt.default__format_column": {"name": "default__format_column", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/column/columns_spec_ddl.sql", "original_file_path": "macros/relations/column/columns_spec_ddl.sql", "unique_id": "macro.dbt.default__format_column", "macro_sql": "{% macro default__format_column(column) -%}\n  {% set data_type = column.dtype %}\n  {% set formatted = column.column.lower() ~ \" \" ~ data_type %}\n  {{ return({'name': column.name, 'data_type': data_type, 'formatted': formatted}) }}\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.456803, "supported_languages": null}, "macro.dbt.drop_table": {"name": "drop_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/drop.sql", "original_file_path": "macros/relations/table/drop.sql", "unique_id": "macro.dbt.drop_table", "macro_sql": "{% macro drop_table(relation) -%}\n    {{ return(adapter.dispatch('drop_table', 'dbt')(relation)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__drop_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.457082, "supported_languages": null}, "macro.dbt.default__drop_table": {"name": "default__drop_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/drop.sql", "original_file_path": "macros/relations/table/drop.sql", "unique_id": "macro.dbt.default__drop_table", "macro_sql": "{% macro default__drop_table(relation) -%}\n    drop table if exists {{ relation }} cascade\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.457193, "supported_languages": null}, "macro.dbt.get_replace_table_sql": {"name": "get_replace_table_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/replace.sql", "original_file_path": "macros/relations/table/replace.sql", "unique_id": "macro.dbt.get_replace_table_sql", "macro_sql": "{% macro get_replace_table_sql(relation, sql) %}\n    {{- adapter.dispatch('get_replace_table_sql', 'dbt')(relation, sql) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_replace_table_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4574761, "supported_languages": null}, "macro.dbt.default__get_replace_table_sql": {"name": "default__get_replace_table_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/replace.sql", "original_file_path": "macros/relations/table/replace.sql", "unique_id": "macro.dbt.default__get_replace_table_sql", "macro_sql": "{% macro default__get_replace_table_sql(relation, sql) %}\n    {{ exceptions.raise_compiler_error(\n        \"`get_replace_table_sql` has not been implemented for this adapter.\"\n    ) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4576268, "supported_languages": null}, "macro.dbt.get_rename_table_sql": {"name": "get_rename_table_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/rename.sql", "original_file_path": "macros/relations/table/rename.sql", "unique_id": "macro.dbt.get_rename_table_sql", "macro_sql": "{% macro get_rename_table_sql(relation, new_name) %}\n    {{- adapter.dispatch('get_rename_table_sql', 'dbt')(relation, new_name) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_rename_table_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4579022, "supported_languages": null}, "macro.dbt.default__get_rename_table_sql": {"name": "default__get_rename_table_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/rename.sql", "original_file_path": "macros/relations/table/rename.sql", "unique_id": "macro.dbt.default__get_rename_table_sql", "macro_sql": "{% macro default__get_rename_table_sql(relation, new_name) %}\n    {{ exceptions.raise_compiler_error(\n        \"`get_rename_table_sql` has not been implemented for this adapter.\"\n    ) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.458055, "supported_languages": null}, "macro.dbt.get_create_table_as_sql": {"name": "get_create_table_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/create.sql", "original_file_path": "macros/relations/table/create.sql", "unique_id": "macro.dbt.get_create_table_as_sql", "macro_sql": "{% macro get_create_table_as_sql(temporary, relation, sql) -%}\n  {{ adapter.dispatch('get_create_table_as_sql', 'dbt')(temporary, relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_table_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.458923, "supported_languages": null}, "macro.dbt.default__get_create_table_as_sql": {"name": "default__get_create_table_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/create.sql", "original_file_path": "macros/relations/table/create.sql", "unique_id": "macro.dbt.default__get_create_table_as_sql", "macro_sql": "{% macro default__get_create_table_as_sql(temporary, relation, sql) -%}\n  {{ return(create_table_as(temporary, relation, sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.459116, "supported_languages": null}, "macro.dbt.create_table_as": {"name": "create_table_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/create.sql", "original_file_path": "macros/relations/table/create.sql", "unique_id": "macro.dbt.create_table_as", "macro_sql": "{% macro create_table_as(temporary, relation, compiled_code, language='sql') -%}\n  {# backward compatibility for create_table_as that does not support language #}\n  {% if language == \"sql\" %}\n    {{ adapter.dispatch('create_table_as', 'dbt')(temporary, relation, compiled_code)}}\n  {% else %}\n    {{ adapter.dispatch('create_table_as', 'dbt')(temporary, relation, compiled_code, language) }}\n  {% endif %}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.459575, "supported_languages": null}, "macro.dbt.default__create_table_as": {"name": "default__create_table_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/create.sql", "original_file_path": "macros/relations/table/create.sql", "unique_id": "macro.dbt.default__create_table_as", "macro_sql": "{% macro default__create_table_as(temporary, relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n\n  create {% if temporary: -%}temporary{%- endif %} table\n    {{ relation.include(database=(not temporary), schema=(not temporary)) }}\n  {% set contract_config = config.get('contract') %}\n  {% if contract_config.enforced and (not temporary) %}\n    {{ get_assert_columns_equivalent(sql) }}\n    {{ get_table_columns_and_constraints() }}\n    {%- set sql = get_select_subquery(sql) %}\n  {% endif %}\n  as (\n    {{ sql }}\n  );\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_assert_columns_equivalent", "macro.dbt.get_table_columns_and_constraints", "macro.dbt.get_select_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.460309, "supported_languages": null}, "macro.dbt.default__get_column_names": {"name": "default__get_column_names", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/create.sql", "original_file_path": "macros/relations/table/create.sql", "unique_id": "macro.dbt.default__get_column_names", "macro_sql": "{% macro default__get_column_names() %}\n  {#- loop through user_provided_columns to get column names -#}\n    {%- set user_provided_columns = model['columns'] -%}\n    {%- for i in user_provided_columns %}\n      {%- set col = user_provided_columns[i] -%}\n      {%- set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] -%}\n      {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.46079, "supported_languages": null}, "macro.dbt.get_select_subquery": {"name": "get_select_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/create.sql", "original_file_path": "macros/relations/table/create.sql", "unique_id": "macro.dbt.get_select_subquery", "macro_sql": "{% macro get_select_subquery(sql) %}\n  {{ return(adapter.dispatch('get_select_subquery', 'dbt')(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_select_subquery"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4609852, "supported_languages": null}, "macro.dbt.default__get_select_subquery": {"name": "default__get_select_subquery", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/table/create.sql", "original_file_path": "macros/relations/table/create.sql", "unique_id": "macro.dbt.default__get_select_subquery", "macro_sql": "{% macro default__get_select_subquery(sql) %}\n    select {{ adapter.dispatch('get_column_names', 'dbt')() }}\n    from (\n        {{ sql }}\n    ) as model_subq\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_column_names"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.461171, "supported_languages": null}, "macro.dbt.drop_view": {"name": "drop_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/drop.sql", "original_file_path": "macros/relations/view/drop.sql", "unique_id": "macro.dbt.drop_view", "macro_sql": "{% macro drop_view(relation) -%}\n    {{ return(adapter.dispatch('drop_view', 'dbt')(relation)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__drop_view"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.461447, "supported_languages": null}, "macro.dbt.default__drop_view": {"name": "default__drop_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/drop.sql", "original_file_path": "macros/relations/view/drop.sql", "unique_id": "macro.dbt.default__drop_view", "macro_sql": "{% macro default__drop_view(relation) -%}\n    drop view if exists {{ relation }} cascade\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4615538, "supported_languages": null}, "macro.dbt.get_replace_view_sql": {"name": "get_replace_view_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/replace.sql", "original_file_path": "macros/relations/view/replace.sql", "unique_id": "macro.dbt.get_replace_view_sql", "macro_sql": "{% macro get_replace_view_sql(relation, sql) %}\n    {{- adapter.dispatch('get_replace_view_sql', 'dbt')(relation, sql) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_replace_view_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.462419, "supported_languages": null}, "macro.dbt.default__get_replace_view_sql": {"name": "default__get_replace_view_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/replace.sql", "original_file_path": "macros/relations/view/replace.sql", "unique_id": "macro.dbt.default__get_replace_view_sql", "macro_sql": "{% macro default__get_replace_view_sql(relation, sql) %}\n    {{ exceptions.raise_compiler_error(\n        \"`get_replace_view_sql` has not been implemented for this adapter.\"\n    ) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4625769, "supported_languages": null}, "macro.dbt.create_or_replace_view": {"name": "create_or_replace_view", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/replace.sql", "original_file_path": "macros/relations/view/replace.sql", "unique_id": "macro.dbt.create_or_replace_view", "macro_sql": "{% macro create_or_replace_view() %}\n  {%- set identifier = model['alias'] -%}\n\n  {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n  {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n  {%- set target_relation = api.Relation.create(\n      identifier=identifier, schema=schema, database=database,\n      type='view') -%}\n  {% set grant_config = config.get('grants') %}\n\n  {{ run_hooks(pre_hooks) }}\n\n  -- If there's a table with the same name and we weren't told to full refresh,\n  -- that's an error. If we were told to full refresh, drop it. This behavior differs\n  -- for Snowflake and BigQuery, so multiple dispatch is used.\n  {%- if old_relation is not none and old_relation.is_table -%}\n    {{ handle_existing_table(should_full_refresh(), old_relation) }}\n  {%- endif -%}\n\n  -- build model\n  {% call statement('main') -%}\n    {{ get_create_view_as_sql(target_relation, sql) }}\n  {%- endcall %}\n\n  {% set should_revoke = should_revoke(exists_as_view, full_refresh_mode=True) %}\n  {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n  {{ run_hooks(post_hooks) }}\n\n  {{ return({'relations': [target_relation]}) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.handle_existing_table", "macro.dbt.should_full_refresh", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.463818, "supported_languages": null}, "macro.dbt.handle_existing_table": {"name": "handle_existing_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/replace.sql", "original_file_path": "macros/relations/view/replace.sql", "unique_id": "macro.dbt.handle_existing_table", "macro_sql": "{% macro handle_existing_table(full_refresh, old_relation) %}\n    {{ adapter.dispatch('handle_existing_table', 'dbt')(full_refresh, old_relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__handle_existing_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4640331, "supported_languages": null}, "macro.dbt.default__handle_existing_table": {"name": "default__handle_existing_table", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/replace.sql", "original_file_path": "macros/relations/view/replace.sql", "unique_id": "macro.dbt.default__handle_existing_table", "macro_sql": "{% macro default__handle_existing_table(full_refresh, old_relation) %}\n    {{ log(\"Dropping relation \" ~ old_relation ~ \" because it is of type \" ~ old_relation.type) }}\n    {{ adapter.drop_relation(old_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.464267, "supported_languages": null}, "macro.dbt.get_rename_view_sql": {"name": "get_rename_view_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/rename.sql", "original_file_path": "macros/relations/view/rename.sql", "unique_id": "macro.dbt.get_rename_view_sql", "macro_sql": "{% macro get_rename_view_sql(relation, new_name) %}\n    {{- adapter.dispatch('get_rename_view_sql', 'dbt')(relation, new_name) -}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_rename_view_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4645472, "supported_languages": null}, "macro.dbt.default__get_rename_view_sql": {"name": "default__get_rename_view_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/rename.sql", "original_file_path": "macros/relations/view/rename.sql", "unique_id": "macro.dbt.default__get_rename_view_sql", "macro_sql": "{% macro default__get_rename_view_sql(relation, new_name) %}\n    {{ exceptions.raise_compiler_error(\n        \"`get_rename_view_sql` has not been implemented for this adapter.\"\n    ) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4646962, "supported_languages": null}, "macro.dbt.get_create_view_as_sql": {"name": "get_create_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/create.sql", "original_file_path": "macros/relations/view/create.sql", "unique_id": "macro.dbt.get_create_view_as_sql", "macro_sql": "{% macro get_create_view_as_sql(relation, sql) -%}\n  {{ adapter.dispatch('get_create_view_as_sql', 'dbt')(relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.465127, "supported_languages": null}, "macro.dbt.default__get_create_view_as_sql": {"name": "default__get_create_view_as_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/create.sql", "original_file_path": "macros/relations/view/create.sql", "unique_id": "macro.dbt.default__get_create_view_as_sql", "macro_sql": "{% macro default__get_create_view_as_sql(relation, sql) -%}\n  {{ return(create_view_as(relation, sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.create_view_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.465301, "supported_languages": null}, "macro.dbt.create_view_as": {"name": "create_view_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/create.sql", "original_file_path": "macros/relations/view/create.sql", "unique_id": "macro.dbt.create_view_as", "macro_sql": "{% macro create_view_as(relation, sql) -%}\n  {{ adapter.dispatch('create_view_as', 'dbt')(relation, sql) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__create_view_as"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.465506, "supported_languages": null}, "macro.dbt.default__create_view_as": {"name": "default__create_view_as", "resource_type": "macro", "package_name": "dbt", "path": "macros/relations/view/create.sql", "original_file_path": "macros/relations/view/create.sql", "unique_id": "macro.dbt.default__create_view_as", "macro_sql": "{% macro default__create_view_as(relation, sql) -%}\n  {%- set sql_header = config.get('sql_header', none) -%}\n\n  {{ sql_header if sql_header is not none }}\n  create view {{ relation }}\n    {% set contract_config = config.get('contract') %}\n    {% if contract_config.enforced %}\n      {{ get_assert_columns_equivalent(sql) }}\n    {%- endif %}\n  as (\n    {{ sql }}\n  );\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.get_assert_columns_equivalent"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4659781, "supported_languages": null}, "macro.dbt.default__test_relationships": {"name": "default__test_relationships", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/relationships.sql", "original_file_path": "macros/generic_test_sql/relationships.sql", "unique_id": "macro.dbt.default__test_relationships", "macro_sql": "{% macro default__test_relationships(model, column_name, to, field) %}\n\nwith child as (\n    select {{ column_name }} as from_field\n    from {{ model }}\n    where {{ column_name }} is not null\n),\n\nparent as (\n    select {{ field }} as to_field\n    from {{ to }}\n)\n\nselect\n    from_field\n\nfrom child\nleft join parent\n    on child.from_field = parent.to_field\n\nwhere parent.to_field is null\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.466363, "supported_languages": null}, "macro.dbt.default__test_not_null": {"name": "default__test_not_null", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/not_null.sql", "original_file_path": "macros/generic_test_sql/not_null.sql", "unique_id": "macro.dbt.default__test_not_null", "macro_sql": "{% macro default__test_not_null(model, column_name) %}\n\n{% set column_list = '*' if should_store_failures() else column_name %}\n\nselect {{ column_list }}\nfrom {{ model }}\nwhere {{ column_name }} is null\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_store_failures"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4666939, "supported_languages": null}, "macro.dbt.default__test_unique": {"name": "default__test_unique", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/unique.sql", "original_file_path": "macros/generic_test_sql/unique.sql", "unique_id": "macro.dbt.default__test_unique", "macro_sql": "{% macro default__test_unique(model, column_name) %}\n\nselect\n    {{ column_name }} as unique_field,\n    count(*) as n_records\n\nfrom {{ model }}\nwhere {{ column_name }} is not null\ngroup by {{ column_name }}\nhaving count(*) > 1\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.466955, "supported_languages": null}, "macro.dbt.default__test_accepted_values": {"name": "default__test_accepted_values", "resource_type": "macro", "package_name": "dbt", "path": "macros/generic_test_sql/accepted_values.sql", "original_file_path": "macros/generic_test_sql/accepted_values.sql", "unique_id": "macro.dbt.default__test_accepted_values", "macro_sql": "{% macro default__test_accepted_values(model, column_name, values, quote=True) %}\n\nwith all_values as (\n\n    select\n        {{ column_name }} as value_field,\n        count(*) as n_records\n\n    from {{ model }}\n    group by {{ column_name }}\n\n)\n\nselect *\nfrom all_values\nwhere value_field not in (\n    {% for value in values -%}\n        {% if quote -%}\n        '{{ value }}'\n        {%- else -%}\n        {{ value }}\n        {%- endif -%}\n        {%- if not loop.last -%},{%- endif %}\n    {%- endfor %}\n)\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4675908, "supported_languages": null}, "macro.dbt.statement": {"name": "statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.statement", "macro_sql": "\n{%- macro statement(name=None, fetch_result=False, auto_begin=True, language='sql') -%}\n  {%- if execute: -%}\n    {%- set compiled_code = caller() -%}\n\n    {%- if name == 'main' -%}\n      {{ log('Writing runtime {} for node \"{}\"'.format(language, model['unique_id'])) }}\n      {{ write(compiled_code) }}\n    {%- endif -%}\n    {%- if language == 'sql'-%}\n      {%- set res, table = adapter.execute(compiled_code, auto_begin=auto_begin, fetch=fetch_result) -%}\n    {%- elif language == 'python' -%}\n      {%- set res = submit_python_job(model, compiled_code) -%}\n      {#-- TODO: What should table be for python models? --#}\n      {%- set table = None -%}\n    {%- else -%}\n      {% do exceptions.raise_compiler_error(\"statement macro didn't get supported language\") %}\n    {%- endif -%}\n\n    {%- if name is not none -%}\n      {{ store_result(name, response=res, agate_table=table) }}\n    {%- endif -%}\n\n  {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.469166, "supported_languages": null}, "macro.dbt.noop_statement": {"name": "noop_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.noop_statement", "macro_sql": "{% macro noop_statement(name=None, message=None, code=None, rows_affected=None, res=None) -%}\n  {%- set sql = caller() -%}\n\n  {%- if name == 'main' -%}\n    {{ log('Writing runtime SQL for node \"{}\"'.format(model['unique_id'])) }}\n    {{ write(sql) }}\n  {%- endif -%}\n\n  {%- if name is not none -%}\n    {{ store_raw_result(name, message=message, code=code, rows_affected=rows_affected, agate_table=res) }}\n  {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.469779, "supported_languages": null}, "macro.dbt.run_query": {"name": "run_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "unique_id": "macro.dbt.run_query", "macro_sql": "{% macro run_query(sql) %}\n  {% call statement(\"run_query_statement\", fetch_result=true, auto_begin=false) %}\n    {{ sql }}\n  {% endcall %}\n\n  {% do return(load_result(\"run_query_statement\").table) %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4700851, "supported_languages": null}, "macro.dbt.convert_datetime": {"name": "convert_datetime", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.convert_datetime", "macro_sql": "{% macro convert_datetime(date_str, date_fmt) %}\n\n  {% set error_msg -%}\n      The provided partition date '{{ date_str }}' does not match the expected format '{{ date_fmt }}'\n  {%- endset %}\n\n  {% set res = try_or_compiler_error(error_msg, modules.datetime.datetime.strptime, date_str.strip(), date_fmt) %}\n  {{ return(res) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.471988, "supported_languages": null}, "macro.dbt.dates_in_range": {"name": "dates_in_range", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.dates_in_range", "macro_sql": "{% macro dates_in_range(start_date_str, end_date_str=none, in_fmt=\"%Y%m%d\", out_fmt=\"%Y%m%d\") %}\n    {% set end_date_str = start_date_str if end_date_str is none else end_date_str %}\n\n    {% set start_date = convert_datetime(start_date_str, in_fmt) %}\n    {% set end_date = convert_datetime(end_date_str, in_fmt) %}\n\n    {% set day_count = (end_date - start_date).days %}\n    {% if day_count < 0 %}\n        {% set msg -%}\n            Partition start date is after the end date ({{ start_date }}, {{ end_date }})\n        {%- endset %}\n\n        {{ exceptions.raise_compiler_error(msg, model) }}\n    {% endif %}\n\n    {% set date_list = [] %}\n    {% for i in range(0, day_count + 1) %}\n        {% set the_date = (modules.datetime.timedelta(days=i) + start_date) %}\n        {% if not out_fmt %}\n            {% set _ = date_list.append(the_date) %}\n        {% else %}\n            {% set _ = date_list.append(the_date.strftime(out_fmt)) %}\n        {% endif %}\n    {% endfor %}\n\n    {{ return(date_list) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.convert_datetime"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.473311, "supported_languages": null}, "macro.dbt.partition_range": {"name": "partition_range", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.partition_range", "macro_sql": "{% macro partition_range(raw_partition_date, date_fmt='%Y%m%d') %}\n    {% set partition_range = (raw_partition_date | string).split(\",\") %}\n\n    {% if (partition_range | length) == 1 %}\n      {% set start_date = partition_range[0] %}\n      {% set end_date = none %}\n    {% elif (partition_range | length) == 2 %}\n      {% set start_date = partition_range[0] %}\n      {% set end_date = partition_range[1] %}\n    {% else %}\n      {{ exceptions.raise_compiler_error(\"Invalid partition time. Expected format: {Start Date}[,{End Date}]. Got: \" ~ raw_partition_date) }}\n    {% endif %}\n\n    {{ return(dates_in_range(start_date, end_date, in_fmt=date_fmt)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dates_in_range"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.474089, "supported_languages": null}, "macro.dbt.py_current_timestring": {"name": "py_current_timestring", "resource_type": "macro", "package_name": "dbt", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "unique_id": "macro.dbt.py_current_timestring", "macro_sql": "{% macro py_current_timestring() %}\n    {% set dt = modules.datetime.datetime.now() %}\n    {% do return(dt.strftime(\"%Y%m%d%H%M%S%f\")) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4743328, "supported_languages": null}, "macro.dbt.except": {"name": "except", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt.except", "macro_sql": "{% macro except() %}\n  {{ return(adapter.dispatch('except', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.474566, "supported_languages": null}, "macro.dbt.default__except": {"name": "default__except", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "unique_id": "macro.dbt.default__except", "macro_sql": "{% macro default__except() %}\n\n    except\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.474646, "supported_languages": null}, "macro.dbt.get_intervals_between": {"name": "get_intervals_between", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_spine.sql", "original_file_path": "macros/utils/date_spine.sql", "unique_id": "macro.dbt.get_intervals_between", "macro_sql": "{% macro get_intervals_between(start_date, end_date, datepart) -%}\n    {{ return(adapter.dispatch('get_intervals_between', 'dbt')(start_date, end_date, datepart)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_intervals_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.47542, "supported_languages": null}, "macro.dbt.default__get_intervals_between": {"name": "default__get_intervals_between", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_spine.sql", "original_file_path": "macros/utils/date_spine.sql", "unique_id": "macro.dbt.default__get_intervals_between", "macro_sql": "{% macro default__get_intervals_between(start_date, end_date, datepart) -%}\n    {%- call statement('get_intervals_between', fetch_result=True) %}\n\n        select {{ dbt.datediff(start_date, end_date, datepart) }}\n\n    {%- endcall -%}\n\n    {%- set value_list = load_result('get_intervals_between') -%}\n\n    {%- if value_list and value_list['data'] -%}\n        {%- set values = value_list['data'] | map(attribute=0) | list %}\n        {{ return(values[0]) }}\n    {%- else -%}\n        {{ return(1) }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.476046, "supported_languages": null}, "macro.dbt.date_spine": {"name": "date_spine", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_spine.sql", "original_file_path": "macros/utils/date_spine.sql", "unique_id": "macro.dbt.date_spine", "macro_sql": "{% macro date_spine(datepart, start_date, end_date) %}\n    {{ return(adapter.dispatch('date_spine', 'dbt')(datepart, start_date, end_date)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__date_spine"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4763021, "supported_languages": null}, "macro.dbt.default__date_spine": {"name": "default__date_spine", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_spine.sql", "original_file_path": "macros/utils/date_spine.sql", "unique_id": "macro.dbt.default__date_spine", "macro_sql": "{% macro default__date_spine(datepart, start_date, end_date) %}\n\n\n    {# call as follows:\n\n    date_spine(\n        \"day\",\n        \"to_date('01/01/2016', 'mm/dd/yyyy')\",\n        \"dbt.dateadd(week, 1, current_date)\"\n    ) #}\n\n\n    with rawdata as (\n\n        {{dbt.generate_series(\n            dbt.get_intervals_between(start_date, end_date, datepart)\n        )}}\n\n    ),\n\n    all_periods as (\n\n        select (\n            {{\n                dbt.dateadd(\n                    datepart,\n                    \"row_number() over (order by 1) - 1\",\n                    start_date\n                )\n            }}\n        ) as date_{{datepart}}\n        from rawdata\n\n    ),\n\n    filtered as (\n\n        select *\n        from all_periods\n        where date_{{datepart}} <= {{ end_date }}\n\n    )\n\n    select * from filtered\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.generate_series", "macro.dbt.get_intervals_between", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.476706, "supported_languages": null}, "macro.dbt.replace": {"name": "replace", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/replace.sql", "original_file_path": "macros/utils/replace.sql", "unique_id": "macro.dbt.replace", "macro_sql": "{% macro replace(field, old_chars, new_chars) -%}\n    {{ return(adapter.dispatch('replace', 'dbt') (field, old_chars, new_chars)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__replace"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4770792, "supported_languages": null}, "macro.dbt.default__replace": {"name": "default__replace", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/replace.sql", "original_file_path": "macros/utils/replace.sql", "unique_id": "macro.dbt.default__replace", "macro_sql": "{% macro default__replace(field, old_chars, new_chars) %}\n\n    replace(\n        {{ field }},\n        {{ old_chars }},\n        {{ new_chars }}\n    )\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.477257, "supported_languages": null}, "macro.dbt.concat": {"name": "concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/concat.sql", "original_file_path": "macros/utils/concat.sql", "unique_id": "macro.dbt.concat", "macro_sql": "{% macro concat(fields) -%}\n  {{ return(adapter.dispatch('concat', 'dbt')(fields)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.477531, "supported_languages": null}, "macro.dbt.default__concat": {"name": "default__concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/concat.sql", "original_file_path": "macros/utils/concat.sql", "unique_id": "macro.dbt.default__concat", "macro_sql": "{% macro default__concat(fields) -%}\n    {{ fields|join(' || ') }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.477665, "supported_languages": null}, "macro.dbt.get_powers_of_two": {"name": "get_powers_of_two", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/generate_series.sql", "original_file_path": "macros/utils/generate_series.sql", "unique_id": "macro.dbt.get_powers_of_two", "macro_sql": "{% macro get_powers_of_two(upper_bound) %}\n    {{ return(adapter.dispatch('get_powers_of_two', 'dbt')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.478575, "supported_languages": null}, "macro.dbt.default__get_powers_of_two": {"name": "default__get_powers_of_two", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/generate_series.sql", "original_file_path": "macros/utils/generate_series.sql", "unique_id": "macro.dbt.default__get_powers_of_two", "macro_sql": "{% macro default__get_powers_of_two(upper_bound) %}\n\n    {% if upper_bound <= 0 %}\n    {{ exceptions.raise_compiler_error(\"upper bound must be positive\") }}\n    {% endif %}\n\n    {% for _ in range(1, 100) %}\n       {% if upper_bound <= 2 ** loop.index %}{{ return(loop.index) }}{% endif %}\n    {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.479028, "supported_languages": null}, "macro.dbt.generate_series": {"name": "generate_series", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/generate_series.sql", "original_file_path": "macros/utils/generate_series.sql", "unique_id": "macro.dbt.generate_series", "macro_sql": "{% macro generate_series(upper_bound) %}\n    {{ return(adapter.dispatch('generate_series', 'dbt')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__generate_series"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.479232, "supported_languages": null}, "macro.dbt.default__generate_series": {"name": "default__generate_series", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/generate_series.sql", "original_file_path": "macros/utils/generate_series.sql", "unique_id": "macro.dbt.default__generate_series", "macro_sql": "{% macro default__generate_series(upper_bound) %}\n\n    {% set n = dbt.get_powers_of_two(upper_bound) %}\n\n    with p as (\n        select 0 as generated_number union all select 1\n    ), unioned as (\n\n    select\n\n    {% for i in range(n) %}\n    p{{i}}.generated_number * power(2, {{i}})\n    {% if not loop.last %} + {% endif %}\n    {% endfor %}\n    + 1\n    as generated_number\n\n    from\n\n    {% for i in range(n) %}\n    p as p{{i}}\n    {% if not loop.last %} cross join {% endif %}\n    {% endfor %}\n\n    )\n\n    select *\n    from unioned\n    where generated_number <= {{upper_bound}}\n    order by generated_number\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.479799, "supported_languages": null}, "macro.dbt.length": {"name": "length", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/length.sql", "original_file_path": "macros/utils/length.sql", "unique_id": "macro.dbt.length", "macro_sql": "{% macro length(expression) -%}\n    {{ return(adapter.dispatch('length', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__length"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4800792, "supported_languages": null}, "macro.dbt.default__length": {"name": "default__length", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/length.sql", "original_file_path": "macros/utils/length.sql", "unique_id": "macro.dbt.default__length", "macro_sql": "{% macro default__length(expression) %}\n\n    length(\n        {{ expression }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4801888, "supported_languages": null}, "macro.dbt.dateadd": {"name": "dateadd", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt.dateadd", "macro_sql": "{% macro dateadd(datepart, interval, from_date_or_timestamp) %}\n  {{ return(adapter.dispatch('dateadd', 'dbt')(datepart, interval, from_date_or_timestamp)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4805372, "supported_languages": null}, "macro.dbt.default__dateadd": {"name": "default__dateadd", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "unique_id": "macro.dbt.default__dateadd", "macro_sql": "{% macro default__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n    dateadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_date_or_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4807081, "supported_languages": null}, "macro.dbt.intersect": {"name": "intersect", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt.intersect", "macro_sql": "{% macro intersect() %}\n  {{ return(adapter.dispatch('intersect', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__intersect"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.480947, "supported_languages": null}, "macro.dbt.default__intersect": {"name": "default__intersect", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "unique_id": "macro.dbt.default__intersect", "macro_sql": "{% macro default__intersect() %}\n\n    intersect\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.481099, "supported_languages": null}, "macro.dbt.escape_single_quotes": {"name": "escape_single_quotes", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt.escape_single_quotes", "macro_sql": "{% macro escape_single_quotes(expression) %}\n      {{ return(adapter.dispatch('escape_single_quotes', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__escape_single_quotes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.481364, "supported_languages": null}, "macro.dbt.default__escape_single_quotes": {"name": "default__escape_single_quotes", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "unique_id": "macro.dbt.default__escape_single_quotes", "macro_sql": "{% macro default__escape_single_quotes(expression) -%}\n{{ expression | replace(\"'\",\"''\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4815092, "supported_languages": null}, "macro.dbt.right": {"name": "right", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt.right", "macro_sql": "{% macro right(string_text, length_expression) -%}\n    {{ return(adapter.dispatch('right', 'dbt') (string_text, length_expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__right"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.481808, "supported_languages": null}, "macro.dbt.default__right": {"name": "default__right", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "unique_id": "macro.dbt.default__right", "macro_sql": "{% macro default__right(string_text, length_expression) %}\n\n    right(\n        {{ string_text }},\n        {{ length_expression }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.481947, "supported_languages": null}, "macro.dbt.listagg": {"name": "listagg", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt.listagg", "macro_sql": "{% macro listagg(measure, delimiter_text=\"','\", order_by_clause=none, limit_num=none) -%}\n    {{ return(adapter.dispatch('listagg', 'dbt') (measure, delimiter_text, order_by_clause, limit_num)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__listagg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4826071, "supported_languages": null}, "macro.dbt.default__listagg": {"name": "default__listagg", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "unique_id": "macro.dbt.default__listagg", "macro_sql": "{% macro default__listagg(measure, delimiter_text, order_by_clause, limit_num) -%}\n\n    {% if limit_num -%}\n    array_to_string(\n        array_slice(\n            array_agg(\n                {{ measure }}\n            ){% if order_by_clause -%}\n            within group ({{ order_by_clause }})\n            {%- endif %}\n            ,0\n            ,{{ limit_num }}\n        ),\n        {{ delimiter_text }}\n        )\n    {%- else %}\n    listagg(\n        {{ measure }},\n        {{ delimiter_text }}\n        )\n        {% if order_by_clause -%}\n        within group ({{ order_by_clause }})\n        {%- endif %}\n    {%- endif %}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4830332, "supported_languages": null}, "macro.dbt.datediff": {"name": "datediff", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt.datediff", "macro_sql": "{% macro datediff(first_date, second_date, datepart) %}\n  {{ return(adapter.dispatch('datediff', 'dbt')(first_date, second_date, datepart)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.483391, "supported_languages": null}, "macro.dbt.default__datediff": {"name": "default__datediff", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "unique_id": "macro.dbt.default__datediff", "macro_sql": "{% macro default__datediff(first_date, second_date, datepart) -%}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.483566, "supported_languages": null}, "macro.dbt.safe_cast": {"name": "safe_cast", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt.safe_cast", "macro_sql": "{% macro safe_cast(field, type) %}\n  {{ return(adapter.dispatch('safe_cast', 'dbt') (field, type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__safe_cast"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.483878, "supported_languages": null}, "macro.dbt.default__safe_cast": {"name": "default__safe_cast", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "unique_id": "macro.dbt.default__safe_cast", "macro_sql": "{% macro default__safe_cast(field, type) %}\n    {# most databases don't support this function yet\n    so we just need to use cast #}\n    cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.48402, "supported_languages": null}, "macro.dbt.hash": {"name": "hash", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt.hash", "macro_sql": "{% macro hash(field) -%}\n  {{ return(adapter.dispatch('hash', 'dbt') (field)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__hash"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.484281, "supported_languages": null}, "macro.dbt.default__hash": {"name": "default__hash", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "unique_id": "macro.dbt.default__hash", "macro_sql": "{% macro default__hash(field) -%}\n    md5(cast({{ field }} as {{ api.Column.translate_type('string') }}))\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4844449, "supported_languages": null}, "macro.dbt.cast_bool_to_text": {"name": "cast_bool_to_text", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/cast_bool_to_text.sql", "original_file_path": "macros/utils/cast_bool_to_text.sql", "unique_id": "macro.dbt.cast_bool_to_text", "macro_sql": "{% macro cast_bool_to_text(field) %}\n  {{ adapter.dispatch('cast_bool_to_text', 'dbt') (field) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4846919, "supported_languages": null}, "macro.dbt.default__cast_bool_to_text": {"name": "default__cast_bool_to_text", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/cast_bool_to_text.sql", "original_file_path": "macros/utils/cast_bool_to_text.sql", "unique_id": "macro.dbt.default__cast_bool_to_text", "macro_sql": "{% macro default__cast_bool_to_text(field) %}\n    cast({{ field }} as {{ api.Column.translate_type('string') }})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4848619, "supported_languages": null}, "macro.dbt.any_value": {"name": "any_value", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "unique_id": "macro.dbt.any_value", "macro_sql": "{% macro any_value(expression) -%}\n    {{ return(adapter.dispatch('any_value', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__any_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.485118, "supported_languages": null}, "macro.dbt.default__any_value": {"name": "default__any_value", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "unique_id": "macro.dbt.default__any_value", "macro_sql": "{% macro default__any_value(expression) -%}\n\n    any_value({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.485226, "supported_languages": null}, "macro.dbt.position": {"name": "position", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt.position", "macro_sql": "{% macro position(substring_text, string_text) -%}\n    {{ return(adapter.dispatch('position', 'dbt') (substring_text, string_text)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__position"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.485518, "supported_languages": null}, "macro.dbt.default__position": {"name": "default__position", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "unique_id": "macro.dbt.default__position", "macro_sql": "{% macro default__position(substring_text, string_text) %}\n\n    position(\n        {{ substring_text }} in {{ string_text }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.485662, "supported_languages": null}, "macro.dbt.string_literal": {"name": "string_literal", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/literal.sql", "original_file_path": "macros/utils/literal.sql", "unique_id": "macro.dbt.string_literal", "macro_sql": "{%- macro string_literal(value) -%}\n  {{ return(adapter.dispatch('string_literal', 'dbt') (value)) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__string_literal"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.485909, "supported_languages": null}, "macro.dbt.default__string_literal": {"name": "default__string_literal", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/literal.sql", "original_file_path": "macros/utils/literal.sql", "unique_id": "macro.dbt.default__string_literal", "macro_sql": "{% macro default__string_literal(value) -%}\n    '{{ value }}'\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.486083, "supported_languages": null}, "macro.dbt.type_string": {"name": "type_string", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_string", "macro_sql": "\n\n{%- macro type_string() -%}\n  {{ return(adapter.dispatch('type_string', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4870348, "supported_languages": null}, "macro.dbt.default__type_string": {"name": "default__type_string", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_string", "macro_sql": "{% macro default__type_string() %}\n    {{ return(api.Column.translate_type(\"string\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.487206, "supported_languages": null}, "macro.dbt.type_timestamp": {"name": "type_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_timestamp", "macro_sql": "\n\n{%- macro type_timestamp() -%}\n  {{ return(adapter.dispatch('type_timestamp', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.487385, "supported_languages": null}, "macro.dbt.default__type_timestamp": {"name": "default__type_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_timestamp", "macro_sql": "{% macro default__type_timestamp() %}\n    {{ return(api.Column.translate_type(\"timestamp\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4875479, "supported_languages": null}, "macro.dbt.type_float": {"name": "type_float", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_float", "macro_sql": "\n\n{%- macro type_float() -%}\n  {{ return(adapter.dispatch('type_float', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_float"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.487726, "supported_languages": null}, "macro.dbt.default__type_float": {"name": "default__type_float", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_float", "macro_sql": "{% macro default__type_float() %}\n    {{ return(api.Column.translate_type(\"float\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4878888, "supported_languages": null}, "macro.dbt.type_numeric": {"name": "type_numeric", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_numeric", "macro_sql": "\n\n{%- macro type_numeric() -%}\n  {{ return(adapter.dispatch('type_numeric', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.488062, "supported_languages": null}, "macro.dbt.default__type_numeric": {"name": "default__type_numeric", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_numeric", "macro_sql": "{% macro default__type_numeric() %}\n    {{ return(api.Column.numeric_type(\"numeric\", 28, 6)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.488256, "supported_languages": null}, "macro.dbt.type_bigint": {"name": "type_bigint", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_bigint", "macro_sql": "\n\n{%- macro type_bigint() -%}\n  {{ return(adapter.dispatch('type_bigint', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_bigint"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4884338, "supported_languages": null}, "macro.dbt.default__type_bigint": {"name": "default__type_bigint", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_bigint", "macro_sql": "{% macro default__type_bigint() %}\n    {{ return(api.Column.translate_type(\"bigint\")) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4885938, "supported_languages": null}, "macro.dbt.type_int": {"name": "type_int", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_int", "macro_sql": "\n\n{%- macro type_int() -%}\n  {{ return(adapter.dispatch('type_int', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.488767, "supported_languages": null}, "macro.dbt.default__type_int": {"name": "default__type_int", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_int", "macro_sql": "{%- macro default__type_int() -%}\n  {{ return(api.Column.translate_type(\"integer\")) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.48893, "supported_languages": null}, "macro.dbt.type_boolean": {"name": "type_boolean", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.type_boolean", "macro_sql": "\n\n{%- macro type_boolean() -%}\n  {{ return(adapter.dispatch('type_boolean', 'dbt')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__type_boolean"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4891012, "supported_languages": null}, "macro.dbt.default__type_boolean": {"name": "default__type_boolean", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "unique_id": "macro.dbt.default__type_boolean", "macro_sql": "{%- macro default__type_boolean() -%}\n  {{ return(api.Column.translate_type(\"boolean\")) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.489264, "supported_languages": null}, "macro.dbt.array_concat": {"name": "array_concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt.array_concat", "macro_sql": "{% macro array_concat(array_1, array_2) -%}\n  {{ return(adapter.dispatch('array_concat', 'dbt')(array_1, array_2)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__array_concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4895701, "supported_languages": null}, "macro.dbt.default__array_concat": {"name": "default__array_concat", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_concat.sql", "original_file_path": "macros/utils/array_concat.sql", "unique_id": "macro.dbt.default__array_concat", "macro_sql": "{% macro default__array_concat(array_1, array_2) -%}\n    array_cat({{ array_1 }}, {{ array_2 }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.489714, "supported_languages": null}, "macro.dbt.bool_or": {"name": "bool_or", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt.bool_or", "macro_sql": "{% macro bool_or(expression) -%}\n    {{ return(adapter.dispatch('bool_or', 'dbt') (expression)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__bool_or"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.489978, "supported_languages": null}, "macro.dbt.default__bool_or": {"name": "default__bool_or", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "unique_id": "macro.dbt.default__bool_or", "macro_sql": "{% macro default__bool_or(expression) -%}\n\n    bool_or({{ expression }})\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.490092, "supported_languages": null}, "macro.dbt.last_day": {"name": "last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.last_day", "macro_sql": "{% macro last_day(date, datepart) %}\n  {{ return(adapter.dispatch('last_day', 'dbt') (date, datepart)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.490454, "supported_languages": null}, "macro.dbt.default_last_day": {"name": "default_last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.default_last_day", "macro_sql": "\n\n{%- macro default_last_day(date, datepart) -%}\n    cast(\n        {{dbt.dateadd('day', '-1',\n        dbt.dateadd(datepart, '1', dbt.date_trunc(datepart, date))\n        )}}\n        as date)\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4908102, "supported_languages": null}, "macro.dbt.default__last_day": {"name": "default__last_day", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "unique_id": "macro.dbt.default__last_day", "macro_sql": "{% macro default__last_day(date, datepart) -%}\n    {{dbt.default_last_day(date, datepart)}}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default_last_day"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.490965, "supported_languages": null}, "macro.dbt.split_part": {"name": "split_part", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt.split_part", "macro_sql": "{% macro split_part(string_text, delimiter_text, part_number) %}\n  {{ return(adapter.dispatch('split_part', 'dbt') (string_text, delimiter_text, part_number)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__split_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.491511, "supported_languages": null}, "macro.dbt.default__split_part": {"name": "default__split_part", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt.default__split_part", "macro_sql": "{% macro default__split_part(string_text, delimiter_text, part_number) %}\n\n    split_part(\n        {{ string_text }},\n        {{ delimiter_text }},\n        {{ part_number }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.491692, "supported_languages": null}, "macro.dbt._split_part_negative": {"name": "_split_part_negative", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "unique_id": "macro.dbt._split_part_negative", "macro_sql": "{% macro _split_part_negative(string_text, delimiter_text, part_number) %}\n\n    split_part(\n        {{ string_text }},\n        {{ delimiter_text }},\n          length({{ string_text }})\n          - length(\n              replace({{ string_text }},  {{ delimiter_text }}, '')\n          ) + 2 + {{ part_number }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4919198, "supported_languages": null}, "macro.dbt.date_trunc": {"name": "date_trunc", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt.date_trunc", "macro_sql": "{% macro date_trunc(datepart, date) -%}\n  {{ return(adapter.dispatch('date_trunc', 'dbt') (datepart, date)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.492206, "supported_languages": null}, "macro.dbt.default__date_trunc": {"name": "default__date_trunc", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "unique_id": "macro.dbt.default__date_trunc", "macro_sql": "{% macro default__date_trunc(datepart, date) -%}\n    date_trunc('{{datepart}}', {{date}})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4923398, "supported_languages": null}, "macro.dbt.array_construct": {"name": "array_construct", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt.array_construct", "macro_sql": "{% macro array_construct(inputs=[], data_type=api.Column.translate_type('integer')) -%}\n  {{ return(adapter.dispatch('array_construct', 'dbt')(inputs, data_type)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__array_construct"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.492727, "supported_languages": null}, "macro.dbt.default__array_construct": {"name": "default__array_construct", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_construct.sql", "original_file_path": "macros/utils/array_construct.sql", "unique_id": "macro.dbt.default__array_construct", "macro_sql": "{% macro default__array_construct(inputs, data_type) -%}\n    {% if inputs|length > 0 %}\n    array[ {{ inputs|join(' , ') }} ]\n    {% else %}\n    array[]::{{data_type}}[]\n    {% endif %}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4929862, "supported_languages": null}, "macro.dbt.array_append": {"name": "array_append", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt.array_append", "macro_sql": "{% macro array_append(array, new_element) -%}\n  {{ return(adapter.dispatch('array_append', 'dbt')(array, new_element)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__array_append"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.493299, "supported_languages": null}, "macro.dbt.default__array_append": {"name": "default__array_append", "resource_type": "macro", "package_name": "dbt", "path": "macros/utils/array_append.sql", "original_file_path": "macros/utils/array_append.sql", "unique_id": "macro.dbt.default__array_append", "macro_sql": "{% macro default__array_append(array, new_element) -%}\n    array_append({{ array }}, {{ new_element }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.493441, "supported_languages": null}, "macro.dbt.create_schema": {"name": "create_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.create_schema", "macro_sql": "{% macro create_schema(relation) -%}\n  {{ adapter.dispatch('create_schema', 'dbt')(relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__create_schema"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.493979, "supported_languages": null}, "macro.dbt.default__create_schema": {"name": "default__create_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.default__create_schema", "macro_sql": "{% macro default__create_schema(relation) -%}\n  {%- call statement('create_schema') -%}\n    create schema if not exists {{ relation.without_identifier() }}\n  {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.494198, "supported_languages": null}, "macro.dbt.drop_schema": {"name": "drop_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.drop_schema", "macro_sql": "{% macro drop_schema(relation) -%}\n  {{ adapter.dispatch('drop_schema', 'dbt')(relation) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__drop_schema"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.494379, "supported_languages": null}, "macro.dbt.default__drop_schema": {"name": "default__drop_schema", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "unique_id": "macro.dbt.default__drop_schema", "macro_sql": "{% macro default__drop_schema(relation) -%}\n  {%- call statement('drop_schema') -%}\n    drop schema if exists {{ relation.without_identifier() }} cascade\n  {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4945831, "supported_languages": null}, "macro.dbt.current_timestamp": {"name": "current_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp", "macro_sql": "{%- macro current_timestamp() -%}\n    {{ adapter.dispatch('current_timestamp', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.495111, "supported_languages": null}, "macro.dbt.default__current_timestamp": {"name": "default__current_timestamp", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp", "macro_sql": "{% macro default__current_timestamp() -%}\n  {{ exceptions.raise_not_implemented(\n    'current_timestamp macro not implemented for adapter ' + adapter.type()) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.495272, "supported_languages": null}, "macro.dbt.snapshot_get_time": {"name": "snapshot_get_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.snapshot_get_time", "macro_sql": "\n\n{%- macro snapshot_get_time() -%}\n    {{ adapter.dispatch('snapshot_get_time', 'dbt')() }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt.default__snapshot_get_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.495435, "supported_languages": null}, "macro.dbt.default__snapshot_get_time": {"name": "default__snapshot_get_time", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__snapshot_get_time", "macro_sql": "{% macro default__snapshot_get_time() %}\n    {{ current_timestamp() }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.495549, "supported_languages": null}, "macro.dbt.current_timestamp_backcompat": {"name": "current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp_backcompat", "macro_sql": "{% macro current_timestamp_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__current_timestamp_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.495726, "supported_languages": null}, "macro.dbt.default__current_timestamp_backcompat": {"name": "default__current_timestamp_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp_backcompat", "macro_sql": "{% macro default__current_timestamp_backcompat() %}\n    current_timestamp::timestamp\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.495808, "supported_languages": null}, "macro.dbt.current_timestamp_in_utc_backcompat": {"name": "current_timestamp_in_utc_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.current_timestamp_in_utc_backcompat", "macro_sql": "{% macro current_timestamp_in_utc_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_in_utc_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__current_timestamp_in_utc_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4960551, "supported_languages": null}, "macro.dbt.default__current_timestamp_in_utc_backcompat": {"name": "default__current_timestamp_in_utc_backcompat", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/timestamps.sql", "original_file_path": "macros/adapters/timestamps.sql", "unique_id": "macro.dbt.default__current_timestamp_in_utc_backcompat", "macro_sql": "{% macro default__current_timestamp_in_utc_backcompat() %}\n    {{ return(adapter.dispatch('current_timestamp_backcompat', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.current_timestamp_backcompat", "macro.dbt_bigquery.bigquery__current_timestamp_backcompat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4962292, "supported_languages": null}, "macro.dbt.get_create_index_sql": {"name": "get_create_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.get_create_index_sql", "macro_sql": "{% macro get_create_index_sql(relation, index_dict) -%}\n  {{ return(adapter.dispatch('get_create_index_sql', 'dbt')(relation, index_dict)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_create_index_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.4971032, "supported_languages": null}, "macro.dbt.default__get_create_index_sql": {"name": "default__get_create_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__get_create_index_sql", "macro_sql": "{% macro default__get_create_index_sql(relation, index_dict) -%}\n  {% do return(None) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.497251, "supported_languages": null}, "macro.dbt.create_indexes": {"name": "create_indexes", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.create_indexes", "macro_sql": "{% macro create_indexes(relation) -%}\n  {{ adapter.dispatch('create_indexes', 'dbt')(relation) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.49743, "supported_languages": null}, "macro.dbt.default__create_indexes": {"name": "default__create_indexes", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__create_indexes", "macro_sql": "{% macro default__create_indexes(relation) -%}\n  {%- set _indexes = config.get('indexes', default=[]) -%}\n\n  {% for _index_dict in _indexes %}\n    {% set create_index_sql = get_create_index_sql(relation, _index_dict) %}\n    {% if create_index_sql %}\n      {% do run_query(create_index_sql) %}\n    {% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_create_index_sql", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.49789, "supported_languages": null}, "macro.dbt.get_drop_index_sql": {"name": "get_drop_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.get_drop_index_sql", "macro_sql": "{% macro get_drop_index_sql(relation, index_name) -%}\n    {{ adapter.dispatch('get_drop_index_sql', 'dbt')(relation, index_name) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_drop_index_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.498094, "supported_languages": null}, "macro.dbt.default__get_drop_index_sql": {"name": "default__get_drop_index_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__get_drop_index_sql", "macro_sql": "{% macro default__get_drop_index_sql(relation, index_name) -%}\n    {{ exceptions.raise_compiler_error(\"`get_drop_index_sql has not been implemented for this adapter.\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.498249, "supported_languages": null}, "macro.dbt.get_show_indexes_sql": {"name": "get_show_indexes_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.get_show_indexes_sql", "macro_sql": "{% macro get_show_indexes_sql(relation) -%}\n    {{ adapter.dispatch('get_show_indexes_sql', 'dbt')(relation) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_show_indexes_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.498422, "supported_languages": null}, "macro.dbt.default__get_show_indexes_sql": {"name": "default__get_show_indexes_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "unique_id": "macro.dbt.default__get_show_indexes_sql", "macro_sql": "{% macro default__get_show_indexes_sql(relation) -%}\n    {{ exceptions.raise_compiler_error(\"`get_show_indexes_sql has not been implemented for this adapter.\") }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.498559, "supported_languages": null}, "macro.dbt.make_intermediate_relation": {"name": "make_intermediate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_intermediate_relation", "macro_sql": "{% macro make_intermediate_relation(base_relation, suffix='__dbt_tmp') %}\n  {{ return(adapter.dispatch('make_intermediate_relation', 'dbt')(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_intermediate_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.500711, "supported_languages": null}, "macro.dbt.default__make_intermediate_relation": {"name": "default__make_intermediate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_intermediate_relation", "macro_sql": "{% macro default__make_intermediate_relation(base_relation, suffix) %}\n    {{ return(default__make_temp_relation(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_temp_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.500897, "supported_languages": null}, "macro.dbt.make_temp_relation": {"name": "make_temp_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_temp_relation", "macro_sql": "{% macro make_temp_relation(base_relation, suffix='__dbt_tmp') %}\n  {{ return(adapter.dispatch('make_temp_relation', 'dbt')(base_relation, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_temp_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5011241, "supported_languages": null}, "macro.dbt.default__make_temp_relation": {"name": "default__make_temp_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_temp_relation", "macro_sql": "{% macro default__make_temp_relation(base_relation, suffix) %}\n    {%- set temp_identifier = base_relation.identifier ~ suffix -%}\n    {%- set temp_relation = base_relation.incorporate(\n                                path={\"identifier\": temp_identifier}) -%}\n\n    {{ return(temp_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5014348, "supported_languages": null}, "macro.dbt.make_backup_relation": {"name": "make_backup_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.make_backup_relation", "macro_sql": "{% macro make_backup_relation(base_relation, backup_relation_type, suffix='__dbt_backup') %}\n    {{ return(adapter.dispatch('make_backup_relation', 'dbt')(base_relation, backup_relation_type, suffix)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__make_backup_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.501694, "supported_languages": null}, "macro.dbt.default__make_backup_relation": {"name": "default__make_backup_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__make_backup_relation", "macro_sql": "{% macro default__make_backup_relation(base_relation, backup_relation_type, suffix) %}\n    {%- set backup_identifier = base_relation.identifier ~ suffix -%}\n    {%- set backup_relation = base_relation.incorporate(\n                                  path={\"identifier\": backup_identifier},\n                                  type=backup_relation_type\n    ) -%}\n    {{ return(backup_relation) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.502028, "supported_languages": null}, "macro.dbt.truncate_relation": {"name": "truncate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.truncate_relation", "macro_sql": "{% macro truncate_relation(relation) -%}\n  {{ return(adapter.dispatch('truncate_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__truncate_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.502223, "supported_languages": null}, "macro.dbt.default__truncate_relation": {"name": "default__truncate_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__truncate_relation", "macro_sql": "{% macro default__truncate_relation(relation) -%}\n  {% call statement('truncate_relation') -%}\n    truncate table {{ relation }}\n  {%- endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5023968, "supported_languages": null}, "macro.dbt.get_or_create_relation": {"name": "get_or_create_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.get_or_create_relation", "macro_sql": "{% macro get_or_create_relation(database, schema, identifier, type) -%}\n  {{ return(adapter.dispatch('get_or_create_relation', 'dbt')(database, schema, identifier, type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_or_create_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.502662, "supported_languages": null}, "macro.dbt.default__get_or_create_relation": {"name": "default__get_or_create_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.default__get_or_create_relation", "macro_sql": "{% macro default__get_or_create_relation(database, schema, identifier, type) %}\n  {%- set target_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) %}\n\n  {% if target_relation %}\n    {% do return([true, target_relation]) %}\n  {% endif %}\n\n  {%- set new_relation = api.Relation.create(\n      database=database,\n      schema=schema,\n      identifier=identifier,\n      type=type\n  ) -%}\n  {% do return([false, new_relation]) %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.503501, "supported_languages": null}, "macro.dbt.load_cached_relation": {"name": "load_cached_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.load_cached_relation", "macro_sql": "{% macro load_cached_relation(relation) %}\n  {% do return(adapter.get_relation(\n    database=relation.database,\n    schema=relation.schema,\n    identifier=relation.identifier\n  )) -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.503746, "supported_languages": null}, "macro.dbt.load_relation": {"name": "load_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "unique_id": "macro.dbt.load_relation", "macro_sql": "{% macro load_relation(relation) %}\n    {{ return(load_cached_relation(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.load_cached_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.503895, "supported_languages": null}, "macro.dbt.collect_freshness": {"name": "collect_freshness", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "unique_id": "macro.dbt.collect_freshness", "macro_sql": "{% macro collect_freshness(source, loaded_at_field, filter) %}\n  {{ return(adapter.dispatch('collect_freshness', 'dbt')(source, loaded_at_field, filter))}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__collect_freshness"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.504333, "supported_languages": null}, "macro.dbt.default__collect_freshness": {"name": "default__collect_freshness", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "unique_id": "macro.dbt.default__collect_freshness", "macro_sql": "{% macro default__collect_freshness(source, loaded_at_field, filter) %}\n  {% call statement('collect_freshness', fetch_result=True, auto_begin=False) -%}\n    select\n      max({{ loaded_at_field }}) as max_loaded_at,\n      {{ current_timestamp() }} as snapshotted_at\n    from {{ source }}\n    {% if filter %}\n    where {{ filter }}\n    {% endif %}\n  {% endcall %}\n  {{ return(load_result('collect_freshness')) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.50476, "supported_languages": null}, "macro.dbt.validate_sql": {"name": "validate_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/validate_sql.sql", "original_file_path": "macros/adapters/validate_sql.sql", "unique_id": "macro.dbt.validate_sql", "macro_sql": "{% macro validate_sql(sql) -%}\n  {{ return(adapter.dispatch('validate_sql', 'dbt')(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__validate_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.505047, "supported_languages": null}, "macro.dbt.default__validate_sql": {"name": "default__validate_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/validate_sql.sql", "original_file_path": "macros/adapters/validate_sql.sql", "unique_id": "macro.dbt.default__validate_sql", "macro_sql": "{% macro default__validate_sql(sql) -%}\n  {% call statement('validate_sql') -%}\n    explain {{ sql }}\n  {% endcall %}\n  {{ return(load_result('validate_sql')) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5052779, "supported_languages": null}, "macro.dbt.copy_grants": {"name": "copy_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.copy_grants", "macro_sql": "{% macro copy_grants() %}\n    {{ return(adapter.dispatch('copy_grants', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__copy_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5070138, "supported_languages": null}, "macro.dbt.default__copy_grants": {"name": "default__copy_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__copy_grants", "macro_sql": "{% macro default__copy_grants() %}\n    {{ return(True) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.507134, "supported_languages": null}, "macro.dbt.support_multiple_grantees_per_dcl_statement": {"name": "support_multiple_grantees_per_dcl_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.support_multiple_grantees_per_dcl_statement", "macro_sql": "{% macro support_multiple_grantees_per_dcl_statement() %}\n    {{ return(adapter.dispatch('support_multiple_grantees_per_dcl_statement', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__support_multiple_grantees_per_dcl_statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.507309, "supported_languages": null}, "macro.dbt.default__support_multiple_grantees_per_dcl_statement": {"name": "default__support_multiple_grantees_per_dcl_statement", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__support_multiple_grantees_per_dcl_statement", "macro_sql": "\n\n{%- macro default__support_multiple_grantees_per_dcl_statement() -%}\n    {{ return(True) }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.507423, "supported_languages": null}, "macro.dbt.should_revoke": {"name": "should_revoke", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.should_revoke", "macro_sql": "{% macro should_revoke(existing_relation, full_refresh_mode=True) %}\n\n    {% if not existing_relation %}\n        {#-- The table doesn't already exist, so no grants to copy over --#}\n        {{ return(False) }}\n    {% elif full_refresh_mode %}\n        {#-- The object is being REPLACED -- whether grants are copied over depends on the value of user config --#}\n        {{ return(copy_grants()) }}\n    {% else %}\n        {#-- The table is being merged/upserted/inserted -- grants will be carried over --#}\n        {{ return(True) }}\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.copy_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.507784, "supported_languages": null}, "macro.dbt.get_show_grant_sql": {"name": "get_show_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_show_grant_sql", "macro_sql": "{% macro get_show_grant_sql(relation) %}\n    {{ return(adapter.dispatch(\"get_show_grant_sql\", \"dbt\")(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_show_grant_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.507978, "supported_languages": null}, "macro.dbt.default__get_show_grant_sql": {"name": "default__get_show_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_show_grant_sql", "macro_sql": "{% macro default__get_show_grant_sql(relation) %}\n    show grants on {{ relation }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.508095, "supported_languages": null}, "macro.dbt.get_grant_sql": {"name": "get_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_grant_sql", "macro_sql": "{% macro get_grant_sql(relation, privilege, grantees) %}\n    {{ return(adapter.dispatch('get_grant_sql', 'dbt')(relation, privilege, grantees)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_grant_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5083961, "supported_languages": null}, "macro.dbt.default__get_grant_sql": {"name": "default__get_grant_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_grant_sql", "macro_sql": "\n\n{%- macro default__get_grant_sql(relation, privilege, grantees) -%}\n    grant {{ privilege }} on {{ relation }} to {{ grantees | join(', ') }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5086248, "supported_languages": null}, "macro.dbt.get_revoke_sql": {"name": "get_revoke_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_revoke_sql", "macro_sql": "{% macro get_revoke_sql(relation, privilege, grantees) %}\n    {{ return(adapter.dispatch('get_revoke_sql', 'dbt')(relation, privilege, grantees)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_revoke_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.50888, "supported_languages": null}, "macro.dbt.default__get_revoke_sql": {"name": "default__get_revoke_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_revoke_sql", "macro_sql": "\n\n{%- macro default__get_revoke_sql(relation, privilege, grantees) -%}\n    revoke {{ privilege }} on {{ relation }} from {{ grantees | join(', ') }}\n{%- endmacro -%}\n\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.509094, "supported_languages": null}, "macro.dbt.get_dcl_statement_list": {"name": "get_dcl_statement_list", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.get_dcl_statement_list", "macro_sql": "{% macro get_dcl_statement_list(relation, grant_config, get_dcl_macro) %}\n    {{ return(adapter.dispatch('get_dcl_statement_list', 'dbt')(relation, grant_config, get_dcl_macro)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_dcl_statement_list"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5093539, "supported_languages": null}, "macro.dbt.default__get_dcl_statement_list": {"name": "default__get_dcl_statement_list", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__get_dcl_statement_list", "macro_sql": "\n\n{%- macro default__get_dcl_statement_list(relation, grant_config, get_dcl_macro) -%}\n    {#\n      -- Unpack grant_config into specific privileges and the set of users who need them granted/revoked.\n      -- Depending on whether this database supports multiple grantees per statement, pass in the list of\n      -- all grantees per privilege, or (if not) template one statement per privilege-grantee pair.\n      -- `get_dcl_macro` will be either `get_grant_sql` or `get_revoke_sql`\n    #}\n    {%- set dcl_statements = [] -%}\n    {%- for privilege, grantees in grant_config.items() %}\n        {%- if support_multiple_grantees_per_dcl_statement() and grantees -%}\n          {%- set dcl = get_dcl_macro(relation, privilege, grantees) -%}\n          {%- do dcl_statements.append(dcl) -%}\n        {%- else -%}\n          {%- for grantee in grantees -%}\n              {% set dcl = get_dcl_macro(relation, privilege, [grantee]) %}\n              {%- do dcl_statements.append(dcl) -%}\n          {% endfor -%}\n        {%- endif -%}\n    {%- endfor -%}\n    {{ return(dcl_statements) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.support_multiple_grantees_per_dcl_statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.510182, "supported_languages": null}, "macro.dbt.call_dcl_statements": {"name": "call_dcl_statements", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.call_dcl_statements", "macro_sql": "{% macro call_dcl_statements(dcl_statement_list) %}\n    {{ return(adapter.dispatch(\"call_dcl_statements\", \"dbt\")(dcl_statement_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__call_dcl_statements"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5103948, "supported_languages": null}, "macro.dbt.default__call_dcl_statements": {"name": "default__call_dcl_statements", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__call_dcl_statements", "macro_sql": "{% macro default__call_dcl_statements(dcl_statement_list) %}\n    {#\n      -- By default, supply all grant + revoke statements in a single semicolon-separated block,\n      -- so that they're all processed together.\n\n      -- Some databases do not support this. Those adapters will need to override this macro\n      -- to run each statement individually.\n    #}\n    {% call statement('grants') %}\n        {% for dcl_statement in dcl_statement_list %}\n            {{ dcl_statement }};\n        {% endfor %}\n    {% endcall %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.510666, "supported_languages": null}, "macro.dbt.apply_grants": {"name": "apply_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.apply_grants", "macro_sql": "{% macro apply_grants(relation, grant_config, should_revoke) %}\n    {{ return(adapter.dispatch(\"apply_grants\", \"dbt\")(relation, grant_config, should_revoke)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.510918, "supported_languages": null}, "macro.dbt.default__apply_grants": {"name": "default__apply_grants", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "unique_id": "macro.dbt.default__apply_grants", "macro_sql": "{% macro default__apply_grants(relation, grant_config, should_revoke=True) %}\n    {#-- If grant_config is {} or None, this is a no-op --#}\n    {% if grant_config %}\n        {% if should_revoke %}\n            {#-- We think previous grants may have carried over --#}\n            {#-- Show current grants and calculate diffs --#}\n            {% set current_grants_table = run_query(get_show_grant_sql(relation)) %}\n            {% set current_grants_dict = adapter.standardize_grants_dict(current_grants_table) %}\n            {% set needs_granting = diff_of_two_dicts(grant_config, current_grants_dict) %}\n            {% set needs_revoking = diff_of_two_dicts(current_grants_dict, grant_config) %}\n            {% if not (needs_granting or needs_revoking) %}\n                {{ log('On ' ~ relation ~': All grants are in place, no revocation or granting needed.')}}\n            {% endif %}\n        {% else %}\n            {#-- We don't think there's any chance of previous grants having carried over. --#}\n            {#-- Jump straight to granting what the user has configured. --#}\n            {% set needs_revoking = {} %}\n            {% set needs_granting = grant_config %}\n        {% endif %}\n        {% if needs_granting or needs_revoking %}\n            {% set revoke_statement_list = get_dcl_statement_list(relation, needs_revoking, get_revoke_sql) %}\n            {% set grant_statement_list = get_dcl_statement_list(relation, needs_granting, get_grant_sql) %}\n            {% set dcl_statement_list = revoke_statement_list + grant_statement_list %}\n            {% if dcl_statement_list %}\n                {{ call_dcl_statements(dcl_statement_list) }}\n            {% endif %}\n        {% endif %}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt.get_show_grant_sql", "macro.dbt.get_dcl_statement_list", "macro.dbt.call_dcl_statements"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.512157, "supported_languages": null}, "macro.dbt.get_show_sql": {"name": "get_show_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/show.sql", "original_file_path": "macros/adapters/show.sql", "unique_id": "macro.dbt.get_show_sql", "macro_sql": "{% macro get_show_sql(compiled_code, sql_header, limit) -%}\n  {%- if sql_header -%}\n  {{ sql_header }}\n  {%- endif -%}\n  {%- if limit is not none -%}\n  {{ get_limit_subquery_sql(compiled_code, limit) }}\n  {%- else -%}\n  {{ compiled_code }}\n  {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_limit_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5127418, "supported_languages": null}, "macro.dbt.get_limit_subquery_sql": {"name": "get_limit_subquery_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/show.sql", "original_file_path": "macros/adapters/show.sql", "unique_id": "macro.dbt.get_limit_subquery_sql", "macro_sql": "{% macro get_limit_subquery_sql(sql, limit) %}\n  {{ adapter.dispatch('get_limit_subquery_sql', 'dbt')(sql, limit) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_limit_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.51296, "supported_languages": null}, "macro.dbt.default__get_limit_subquery_sql": {"name": "default__get_limit_subquery_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/show.sql", "original_file_path": "macros/adapters/show.sql", "unique_id": "macro.dbt.default__get_limit_subquery_sql", "macro_sql": "{% macro default__get_limit_subquery_sql(sql, limit) %}\n    select *\n    from (\n        {{ sql }}\n    ) as model_limit_subq\n    limit {{ limit }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5131872, "supported_languages": null}, "macro.dbt.alter_column_comment": {"name": "alter_column_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.alter_column_comment", "macro_sql": "{% macro alter_column_comment(relation, column_dict) -%}\n  {{ return(adapter.dispatch('alter_column_comment', 'dbt')(relation, column_dict)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5139399, "supported_languages": null}, "macro.dbt.default__alter_column_comment": {"name": "default__alter_column_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__alter_column_comment", "macro_sql": "{% macro default__alter_column_comment(relation, column_dict) -%}\n  {{ exceptions.raise_not_implemented(\n    'alter_column_comment macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5141308, "supported_languages": null}, "macro.dbt.alter_relation_comment": {"name": "alter_relation_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.alter_relation_comment", "macro_sql": "{% macro alter_relation_comment(relation, relation_comment) -%}\n  {{ return(adapter.dispatch('alter_relation_comment', 'dbt')(relation, relation_comment)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__alter_relation_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.514352, "supported_languages": null}, "macro.dbt.default__alter_relation_comment": {"name": "default__alter_relation_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__alter_relation_comment", "macro_sql": "{% macro default__alter_relation_comment(relation, relation_comment) -%}\n  {{ exceptions.raise_not_implemented(\n    'alter_relation_comment macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.514539, "supported_languages": null}, "macro.dbt.persist_docs": {"name": "persist_docs", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.persist_docs", "macro_sql": "{% macro persist_docs(relation, model, for_relation=true, for_columns=true) -%}\n  {{ return(adapter.dispatch('persist_docs', 'dbt')(relation, model, for_relation, for_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.514823, "supported_languages": null}, "macro.dbt.default__persist_docs": {"name": "default__persist_docs", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "unique_id": "macro.dbt.default__persist_docs", "macro_sql": "{% macro default__persist_docs(relation, model, for_relation, for_columns) -%}\n  {% if for_relation and config.persist_relation_docs() and model.description %}\n    {% do run_query(alter_relation_comment(relation, model.description)) %}\n  {% endif %}\n\n  {% if for_columns and config.persist_column_docs() and model.columns %}\n    {% do run_query(alter_column_comment(relation, model.columns)) %}\n  {% endif %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt.alter_relation_comment", "macro.dbt.alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5153658, "supported_languages": null}, "macro.dbt.get_catalog_relations": {"name": "get_catalog_relations", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.get_catalog_relations", "macro_sql": "{% macro get_catalog_relations(information_schema, relations) -%}\n  {{ return(adapter.dispatch('get_catalog_relations', 'dbt')(information_schema, relations)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_catalog_relations"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.518307, "supported_languages": null}, "macro.dbt.default__get_catalog_relations": {"name": "default__get_catalog_relations", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__get_catalog_relations", "macro_sql": "{% macro default__get_catalog_relations(information_schema, relations) -%}\n  {% set typename = adapter.type() %}\n  {% set msg -%}\n    get_catalog_relations not implemented for {{ typename }}\n  {%- endset %}\n\n  {{ exceptions.raise_compiler_error(msg) }}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.518583, "supported_languages": null}, "macro.dbt.get_catalog": {"name": "get_catalog", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.get_catalog", "macro_sql": "{% macro get_catalog(information_schema, schemas) -%}\n  {{ return(adapter.dispatch('get_catalog', 'dbt')(information_schema, schemas)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_catalog"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.518798, "supported_languages": null}, "macro.dbt.default__get_catalog": {"name": "default__get_catalog", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__get_catalog", "macro_sql": "{% macro default__get_catalog(information_schema, schemas) -%}\n\n  {% set typename = adapter.type() %}\n  {% set msg -%}\n    get_catalog not implemented for {{ typename }}\n  {%- endset %}\n\n  {{ exceptions.raise_compiler_error(msg) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.519077, "supported_languages": null}, "macro.dbt.information_schema_name": {"name": "information_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.information_schema_name", "macro_sql": "{% macro information_schema_name(database) %}\n  {{ return(adapter.dispatch('information_schema_name', 'dbt')(database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__information_schema_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.519278, "supported_languages": null}, "macro.dbt.default__information_schema_name": {"name": "default__information_schema_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__information_schema_name", "macro_sql": "{% macro default__information_schema_name(database) -%}\n  {%- if database -%}\n    {{ database }}.INFORMATION_SCHEMA\n  {%- else -%}\n    INFORMATION_SCHEMA\n  {%- endif -%}\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.519443, "supported_languages": null}, "macro.dbt.list_schemas": {"name": "list_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.list_schemas", "macro_sql": "{% macro list_schemas(database) -%}\n  {{ return(adapter.dispatch('list_schemas', 'dbt')(database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__list_schemas"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.519634, "supported_languages": null}, "macro.dbt.default__list_schemas": {"name": "default__list_schemas", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__list_schemas", "macro_sql": "{% macro default__list_schemas(database) -%}\n  {% set sql %}\n    select distinct schema_name\n    from {{ information_schema_name(database) }}.SCHEMATA\n    where catalog_name ilike '{{ database }}'\n  {% endset %}\n  {{ return(run_query(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.information_schema_name", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.519995, "supported_languages": null}, "macro.dbt.check_schema_exists": {"name": "check_schema_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.check_schema_exists", "macro_sql": "{% macro check_schema_exists(information_schema, schema) -%}\n  {{ return(adapter.dispatch('check_schema_exists', 'dbt')(information_schema, schema)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__check_schema_exists"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.520229, "supported_languages": null}, "macro.dbt.default__check_schema_exists": {"name": "default__check_schema_exists", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__check_schema_exists", "macro_sql": "{% macro default__check_schema_exists(information_schema, schema) -%}\n  {% set sql -%}\n        select count(*)\n        from {{ information_schema.replace(information_schema_view='SCHEMATA') }}\n        where catalog_name='{{ information_schema.database }}'\n          and schema_name='{{ schema }}'\n  {%- endset %}\n  {{ return(run_query(sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.520594, "supported_languages": null}, "macro.dbt.list_relations_without_caching": {"name": "list_relations_without_caching", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.list_relations_without_caching", "macro_sql": "{% macro list_relations_without_caching(schema_relation) %}\n  {{ return(adapter.dispatch('list_relations_without_caching', 'dbt')(schema_relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__list_relations_without_caching"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5207949, "supported_languages": null}, "macro.dbt.default__list_relations_without_caching": {"name": "default__list_relations_without_caching", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__list_relations_without_caching", "macro_sql": "{% macro default__list_relations_without_caching(schema_relation) %}\n  {{ exceptions.raise_not_implemented(\n    'list_relations_without_caching macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.520969, "supported_languages": null}, "macro.dbt.get_relations": {"name": "get_relations", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.get_relations", "macro_sql": "{% macro get_relations() %}\n  {{ return(adapter.dispatch('get_relations', 'dbt')()) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_relations"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.521141, "supported_languages": null}, "macro.dbt.default__get_relations": {"name": "default__get_relations", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__get_relations", "macro_sql": "{% macro default__get_relations() %}\n  {{ exceptions.raise_not_implemented(\n    'get_relations macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.521303, "supported_languages": null}, "macro.dbt.get_relation_last_modified": {"name": "get_relation_last_modified", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.get_relation_last_modified", "macro_sql": "{% macro get_relation_last_modified(information_schema, relations) %}\n  {{ return(adapter.dispatch('get_relation_last_modified', 'dbt')(information_schema, relations)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_relation_last_modified"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5215192, "supported_languages": null}, "macro.dbt.default__get_relation_last_modified": {"name": "default__get_relation_last_modified", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "unique_id": "macro.dbt.default__get_relation_last_modified", "macro_sql": "{% macro default__get_relation_last_modified(information_schema, relations) %}\n  {{ exceptions.raise_not_implemented(\n    'get_relation_last_modified macro not implemented for adapter ' + adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.521705, "supported_languages": null}, "macro.dbt.get_columns_in_relation": {"name": "get_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_columns_in_relation", "macro_sql": "{% macro get_columns_in_relation(relation) -%}\n  {{ return(adapter.dispatch('get_columns_in_relation', 'dbt')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.524031, "supported_languages": null}, "macro.dbt.default__get_columns_in_relation": {"name": "default__get_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_columns_in_relation", "macro_sql": "{% macro default__get_columns_in_relation(relation) -%}\n  {{ exceptions.raise_not_implemented(\n    'get_columns_in_relation macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5242019, "supported_languages": null}, "macro.dbt.sql_convert_columns_in_relation": {"name": "sql_convert_columns_in_relation", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.sql_convert_columns_in_relation", "macro_sql": "{% macro sql_convert_columns_in_relation(table) -%}\n  {% set columns = [] %}\n  {% for row in table %}\n    {% do columns.append(api.Column(*row)) %}\n  {% endfor %}\n  {{ return(columns) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.524533, "supported_languages": null}, "macro.dbt.get_empty_subquery_sql": {"name": "get_empty_subquery_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_empty_subquery_sql", "macro_sql": "{% macro get_empty_subquery_sql(select_sql, select_sql_header=none) -%}\n  {{ return(adapter.dispatch('get_empty_subquery_sql', 'dbt')(select_sql, select_sql_header)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.524767, "supported_languages": null}, "macro.dbt.default__get_empty_subquery_sql": {"name": "default__get_empty_subquery_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_empty_subquery_sql", "macro_sql": "{% macro default__get_empty_subquery_sql(select_sql, select_sql_header=none) %}\n    {%- if select_sql_header is not none -%}\n    {{ select_sql_header }}\n    {%- endif -%}\n    select * from (\n        {{ select_sql }}\n    ) as __dbt_sbq\n    where false\n    limit 0\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.524982, "supported_languages": null}, "macro.dbt.get_empty_schema_sql": {"name": "get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_empty_schema_sql", "macro_sql": "{% macro get_empty_schema_sql(columns) -%}\n  {{ return(adapter.dispatch('get_empty_schema_sql', 'dbt')(columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__get_empty_schema_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.525171, "supported_languages": null}, "macro.dbt.default__get_empty_schema_sql": {"name": "default__get_empty_schema_sql", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_empty_schema_sql", "macro_sql": "{% macro default__get_empty_schema_sql(columns) %}\n    {%- set col_err = [] -%}\n    {%- set col_naked_numeric = [] -%}\n    select\n    {% for i in columns %}\n      {%- set col = columns[i] -%}\n      {%- if col['data_type'] is not defined -%}\n        {%- do col_err.append(col['name']) -%}\n      {#-- If this column's type is just 'numeric' then it is missing precision/scale, raise a warning --#}\n      {%- elif col['data_type'].strip().lower() in ('numeric', 'decimal', 'number') -%}\n        {%- do col_naked_numeric.append(col['name']) -%}\n      {%- endif -%}\n      {% set col_name = adapter.quote(col['name']) if col.get('quote') else col['name'] %}\n      cast(null as {{ col['data_type'] }}) as {{ col_name }}{{ \", \" if not loop.last }}\n    {%- endfor -%}\n    {%- if (col_err | length) > 0 -%}\n      {{ exceptions.column_type_missing(column_names=col_err) }}\n    {%- elif (col_naked_numeric | length) > 0 -%}\n      {{ exceptions.warn(\"Detected columns with numeric type and unspecified precision/scale, this can lead to unintended rounding: \" ~ col_naked_numeric ~ \"`\") }}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.526448, "supported_languages": null}, "macro.dbt.get_column_schema_from_query": {"name": "get_column_schema_from_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_column_schema_from_query", "macro_sql": "{% macro get_column_schema_from_query(select_sql, select_sql_header=none) -%}\n    {% set columns = [] %}\n    {# -- Using an 'empty subquery' here to get the same schema as the given select_sql statement, without necessitating a data scan.#}\n    {% set sql = get_empty_subquery_sql(select_sql, select_sql_header) %}\n    {% set column_schema = adapter.get_column_schema_from_query(sql) %}\n    {{ return(column_schema) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.526813, "supported_languages": null}, "macro.dbt.get_columns_in_query": {"name": "get_columns_in_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.get_columns_in_query", "macro_sql": "{% macro get_columns_in_query(select_sql) -%}\n  {{ return(adapter.dispatch('get_columns_in_query', 'dbt')(select_sql)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__get_columns_in_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.527009, "supported_languages": null}, "macro.dbt.default__get_columns_in_query": {"name": "default__get_columns_in_query", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__get_columns_in_query", "macro_sql": "{% macro default__get_columns_in_query(select_sql) %}\n    {% call statement('get_columns_in_query', fetch_result=True, auto_begin=False) -%}\n        {{ get_empty_subquery_sql(select_sql) }}\n    {% endcall %}\n    {{ return(load_result('get_columns_in_query').table.columns | map(attribute='name') | list) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.get_empty_subquery_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.527395, "supported_languages": null}, "macro.dbt.alter_column_type": {"name": "alter_column_type", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.alter_column_type", "macro_sql": "{% macro alter_column_type(relation, column_name, new_column_type) -%}\n  {{ return(adapter.dispatch('alter_column_type', 'dbt')(relation, column_name, new_column_type)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__alter_column_type"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.527657, "supported_languages": null}, "macro.dbt.default__alter_column_type": {"name": "default__alter_column_type", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__alter_column_type", "macro_sql": "{% macro default__alter_column_type(relation, column_name, new_column_type) -%}\n  {#\n    1. Create a new column (w/ temp name and correct type)\n    2. Copy data over to it\n    3. Drop the existing column (cascade!)\n    4. Rename the new column to existing column\n  #}\n  {%- set tmp_column = column_name + \"__dbt_alter\" -%}\n\n  {% call statement('alter_column_type') %}\n    alter table {{ relation }} add column {{ adapter.quote(tmp_column) }} {{ new_column_type }};\n    update {{ relation }} set {{ adapter.quote(tmp_column) }} = {{ adapter.quote(column_name) }};\n    alter table {{ relation }} drop column {{ adapter.quote(column_name) }} cascade;\n    alter table {{ relation }} rename column {{ adapter.quote(tmp_column) }} to {{ adapter.quote(column_name) }}\n  {% endcall %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5282931, "supported_languages": null}, "macro.dbt.alter_relation_add_remove_columns": {"name": "alter_relation_add_remove_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.alter_relation_add_remove_columns", "macro_sql": "{% macro alter_relation_add_remove_columns(relation, add_columns = none, remove_columns = none) -%}\n  {{ return(adapter.dispatch('alter_relation_add_remove_columns', 'dbt')(relation, add_columns, remove_columns)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.default__alter_relation_add_remove_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.528571, "supported_languages": null}, "macro.dbt.default__alter_relation_add_remove_columns": {"name": "default__alter_relation_add_remove_columns", "resource_type": "macro", "package_name": "dbt", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "unique_id": "macro.dbt.default__alter_relation_add_remove_columns", "macro_sql": "{% macro default__alter_relation_add_remove_columns(relation, add_columns, remove_columns) %}\n\n  {% if add_columns is none %}\n    {% set add_columns = [] %}\n  {% endif %}\n  {% if remove_columns is none %}\n    {% set remove_columns = [] %}\n  {% endif %}\n\n  {% set sql -%}\n\n     alter {{ relation.type }} {{ relation }}\n\n            {% for column in add_columns %}\n               add column {{ column.name }} {{ column.data_type }}{{ ',' if not loop.last }}\n            {% endfor %}{{ ',' if add_columns and remove_columns }}\n\n            {% for column in remove_columns %}\n                drop column {{ column.name }}{{ ',' if not loop.last }}\n            {% endfor %}\n\n  {%- endset -%}\n\n  {% do run_query(sql) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.529388, "supported_languages": null}, "macro.dbt.resolve_model_name": {"name": "resolve_model_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.resolve_model_name", "macro_sql": "{% macro resolve_model_name(input_model_name) %}\n    {{ return(adapter.dispatch('resolve_model_name', 'dbt')(input_model_name)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5310788, "supported_languages": null}, "macro.dbt.default__resolve_model_name": {"name": "default__resolve_model_name", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.default__resolve_model_name", "macro_sql": "\n\n{%- macro default__resolve_model_name(input_model_name) -%}\n    {{  input_model_name | string | replace('\"', '\\\"') }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5312378, "supported_languages": null}, "macro.dbt.build_ref_function": {"name": "build_ref_function", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_ref_function", "macro_sql": "{% macro build_ref_function(model) %}\n\n    {%- set ref_dict = {} -%}\n    {%- for _ref in model.refs -%}\n        {% set _ref_args = [_ref.get('package'), _ref['name']] if _ref.get('package') else [_ref['name'],] %}\n        {%- set resolved = ref(*_ref_args, v=_ref.get('version')) -%}\n        {%- if _ref.get('version') -%}\n            {% do _ref_args.extend([\"v\" ~ _ref['version']]) %}\n        {%- endif -%}\n       {%- do ref_dict.update({_ref_args | join('.'): resolve_model_name(resolved)}) -%}\n    {%- endfor -%}\n\ndef ref(*args, **kwargs):\n    refs = {{ ref_dict | tojson }}\n    key = '.'.join(args)\n    version = kwargs.get(\"v\") or kwargs.get(\"version\")\n    if version:\n        key += f\".v{version}\"\n    dbt_load_df_function = kwargs.get(\"dbt_load_df_function\")\n    return dbt_load_df_function(refs[key])\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.532116, "supported_languages": null}, "macro.dbt.build_source_function": {"name": "build_source_function", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_source_function", "macro_sql": "{% macro build_source_function(model) %}\n\n    {%- set source_dict = {} -%}\n    {%- for _source in model.sources -%}\n        {%- set resolved = source(*_source) -%}\n        {%- do source_dict.update({_source | join('.'): resolve_model_name(resolved)}) -%}\n    {%- endfor -%}\n\ndef source(*args, dbt_load_df_function):\n    sources = {{ source_dict | tojson }}\n    key = '.'.join(args)\n    return dbt_load_df_function(sources[key])\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.resolve_model_name"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5325701, "supported_languages": null}, "macro.dbt.build_config_dict": {"name": "build_config_dict", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.build_config_dict", "macro_sql": "{% macro build_config_dict(model) %}\n    {%- set config_dict = {} -%}\n    {% set config_dbt_used = zip(model.config.config_keys_used, model.config.config_keys_defaults) | list %}\n    {%- for key, default in config_dbt_used -%}\n        {# weird type testing with enum, would be much easier to write this logic in Python! #}\n        {%- if key == \"language\" -%}\n          {%- set value = \"python\" -%}\n        {%- endif -%}\n        {%- set value = model.config.get(key, default) -%}\n        {%- do config_dict.update({key: value}) -%}\n    {%- endfor -%}\nconfig_dict = {{ config_dict }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.533204, "supported_languages": null}, "macro.dbt.py_script_postfix": {"name": "py_script_postfix", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.py_script_postfix", "macro_sql": "{% macro py_script_postfix(model) %}\n# This part is user provided model code\n# you will need to copy the next section to run the code\n# COMMAND ----------\n# this part is dbt logic for get ref work, do not modify\n\n{{ build_ref_function(model ) }}\n{{ build_source_function(model ) }}\n{{ build_config_dict(model) }}\n\nclass config:\n    def __init__(self, *args, **kwargs):\n        pass\n\n    @staticmethod\n    def get(key, default=None):\n        return config_dict.get(key, default)\n\nclass this:\n    \"\"\"dbt.this() or dbt.this.identifier\"\"\"\n    database = \"{{ this.database }}\"\n    schema = \"{{ this.schema }}\"\n    identifier = \"{{ this.identifier }}\"\n    {% set this_relation_name = resolve_model_name(this) %}\n    def __repr__(self):\n        return '{{ this_relation_name  }}'\n\n\nclass dbtObj:\n    def __init__(self, load_df_function) -> None:\n        self.source = lambda *args: source(*args, dbt_load_df_function=load_df_function)\n        self.ref = lambda *args, **kwargs: ref(*args, **kwargs, dbt_load_df_function=load_df_function)\n        self.config = config\n        self.this = this()\n        self.is_incremental = {{ is_incremental() }}\n\n# COMMAND ----------\n{{py_script_comment()}}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.build_ref_function", "macro.dbt.build_source_function", "macro.dbt.build_config_dict", "macro.dbt.resolve_model_name", "macro.dbt.is_incremental", "macro.dbt.py_script_comment"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5337331, "supported_languages": null}, "macro.dbt.py_script_comment": {"name": "py_script_comment", "resource_type": "macro", "package_name": "dbt", "path": "macros/python_model/python.sql", "original_file_path": "macros/python_model/python.sql", "unique_id": "macro.dbt.py_script_comment", "macro_sql": "{%macro py_script_comment()%}\n{%endmacro%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5338109, "supported_languages": null}, "macro.dbt.test_unique": {"name": "test_unique", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_unique", "macro_sql": "{% test unique(model, column_name) %}\n    {% set macro = adapter.dispatch('test_unique', 'dbt') %}\n    {{ macro(model, column_name) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_bigquery.bigquery__test_unique"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.534384, "supported_languages": null}, "macro.dbt.test_not_null": {"name": "test_not_null", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_not_null", "macro_sql": "{% test not_null(model, column_name) %}\n    {% set macro = adapter.dispatch('test_not_null', 'dbt') %}\n    {{ macro(model, column_name) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5346408, "supported_languages": null}, "macro.dbt.test_accepted_values": {"name": "test_accepted_values", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_accepted_values", "macro_sql": "{% test accepted_values(model, column_name, values, quote=True) %}\n    {% set macro = adapter.dispatch('test_accepted_values', 'dbt') %}\n    {{ macro(model, column_name, values, quote) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_accepted_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.534948, "supported_languages": null}, "macro.dbt.test_relationships": {"name": "test_relationships", "resource_type": "macro", "package_name": "dbt", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "unique_id": "macro.dbt.test_relationships", "macro_sql": "{% test relationships(model, column_name, to, field) %}\n    {% set macro = adapter.dispatch('test_relationships', 'dbt') %}\n    {{ macro(model, column_name, to, field) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt.default__test_relationships"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.535254, "supported_languages": null}, "macro.dbt_utils.get_url_host": {"name": "get_url_host", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_host.sql", "original_file_path": "macros/web/get_url_host.sql", "unique_id": "macro.dbt_utils.get_url_host", "macro_sql": "{% macro get_url_host(field) -%}\n    {{ return(adapter.dispatch('get_url_host', 'dbt_utils')(field)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_host"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5356522, "supported_languages": null}, "macro.dbt_utils.default__get_url_host": {"name": "default__get_url_host", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_host.sql", "original_file_path": "macros/web/get_url_host.sql", "unique_id": "macro.dbt_utils.default__get_url_host", "macro_sql": "{% macro default__get_url_host(field) -%}\n\n{%- set parsed =\n    dbt.split_part(\n        dbt.split_part(\n            dbt.replace(\n                dbt.replace(\n                    dbt.replace(field, \"'android-app://'\", \"''\"\n                    ), \"'http://'\", \"''\"\n                ), \"'https://'\", \"''\"\n            ), \"'/'\", 1\n        ), \"'?'\", 1\n    )\n\n-%}\n\n\n    {{ dbt.safe_cast(\n        parsed,\n        dbt.type_string()\n        )}}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.split_part", "macro.dbt.replace", "macro.dbt.safe_cast", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5361679, "supported_languages": null}, "macro.dbt_utils.get_url_path": {"name": "get_url_path", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_path.sql", "original_file_path": "macros/web/get_url_path.sql", "unique_id": "macro.dbt_utils.get_url_path", "macro_sql": "{% macro get_url_path(field) -%}\n    {{ return(adapter.dispatch('get_url_path', 'dbt_utils')(field)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_path"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.536671, "supported_languages": null}, "macro.dbt_utils.default__get_url_path": {"name": "default__get_url_path", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_path.sql", "original_file_path": "macros/web/get_url_path.sql", "unique_id": "macro.dbt_utils.default__get_url_path", "macro_sql": "{% macro default__get_url_path(field) -%}\n\n    {%- set stripped_url =\n        dbt.replace(\n            dbt.replace(field, \"'http://'\", \"''\"), \"'https://'\", \"''\")\n    -%}\n\n    {%- set first_slash_pos -%}\n        coalesce(\n            nullif({{ dbt.position(\"'/'\", stripped_url) }}, 0),\n            {{ dbt.position(\"'?'\", stripped_url) }} - 1\n            )\n    {%- endset -%}\n\n    {%- set parsed_path =\n        dbt.split_part(\n            dbt.right(\n                stripped_url,\n                dbt.length(stripped_url) ~ \"-\" ~ first_slash_pos\n                ),\n            \"'?'\", 1\n            )\n    -%}\n\n    {{ dbt.safe_cast(\n        parsed_path,\n        dbt.type_string()\n    )}}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.replace", "macro.dbt.position", "macro.dbt.split_part", "macro.dbt.right", "macro.dbt.length", "macro.dbt.safe_cast", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.537455, "supported_languages": null}, "macro.dbt_utils.get_url_parameter": {"name": "get_url_parameter", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_parameter.sql", "original_file_path": "macros/web/get_url_parameter.sql", "unique_id": "macro.dbt_utils.get_url_parameter", "macro_sql": "{% macro get_url_parameter(field, url_parameter) -%}\n    {{ return(adapter.dispatch('get_url_parameter', 'dbt_utils')(field, url_parameter)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_url_parameter"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.53778, "supported_languages": null}, "macro.dbt_utils.default__get_url_parameter": {"name": "default__get_url_parameter", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/web/get_url_parameter.sql", "original_file_path": "macros/web/get_url_parameter.sql", "unique_id": "macro.dbt_utils.default__get_url_parameter", "macro_sql": "{% macro default__get_url_parameter(field, url_parameter) -%}\n\n{%- set formatted_url_parameter = \"'\" + url_parameter + \"='\" -%}\n\n{%- set split = dbt.split_part(dbt.split_part(field, formatted_url_parameter, 2), \"'&'\", 1) -%}\n\nnullif({{ split }},'')\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.split_part"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5381188, "supported_languages": null}, "macro.dbt_utils.test_fewer_rows_than": {"name": "test_fewer_rows_than", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/fewer_rows_than.sql", "original_file_path": "macros/generic_tests/fewer_rows_than.sql", "unique_id": "macro.dbt_utils.test_fewer_rows_than", "macro_sql": "{% test fewer_rows_than(model, compare_model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_fewer_rows_than', 'dbt_utils')(model, compare_model, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_fewer_rows_than"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.539219, "supported_languages": null}, "macro.dbt_utils.default__test_fewer_rows_than": {"name": "default__test_fewer_rows_than", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/fewer_rows_than.sql", "original_file_path": "macros/generic_tests/fewer_rows_than.sql", "unique_id": "macro.dbt_utils.default__test_fewer_rows_than", "macro_sql": "{% macro default__test_fewer_rows_than(model, compare_model, group_by_columns) %}\n\n{{ config(fail_calc = 'sum(coalesce(row_count_delta, 0))') }}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set join_gb_cols %}\n    {% for c in group_by_columns %}\n      and a.{{c}} = b.{{c}}\n    {% endfor %}\n  {% endset %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n{#-- We must add a fake join key in case additional grouping variables are not provided --#}\n{#-- Redshift does not allow for dynamically created join conditions (e.g. full join on 1 = 1 --#}\n{#-- The same logic is used in equal_rowcount. In case of changes, maintain consistent logic --#}\n{% set group_by_columns = ['id_dbtutils_test_fewer_rows_than'] + group_by_columns %}\n{% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n\n\nwith a as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_fewer_rows_than,\n      count(*) as count_our_model \n    from {{ model }}\n    {{ groupby_gb_cols }}\n\n),\nb as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_fewer_rows_than,\n      count(*) as count_comparison_model \n    from {{ compare_model }}\n    {{ groupby_gb_cols }}\n\n),\ncounts as (\n\n    select\n\n        {% for c in group_by_columns -%}\n          a.{{c}} as {{c}}_a,\n          b.{{c}} as {{c}}_b,\n        {% endfor %}\n\n        count_our_model,\n        count_comparison_model\n    from a\n    full join b on \n    a.id_dbtutils_test_fewer_rows_than = b.id_dbtutils_test_fewer_rows_than\n    {{ join_gb_cols }}\n\n),\nfinal as (\n\n    select *,\n        case\n            -- fail the test if we have more rows than the reference model and return the row count delta\n            when count_our_model > count_comparison_model then (count_our_model - count_comparison_model)\n            -- fail the test if they are the same number\n            when count_our_model = count_comparison_model then 1\n            -- pass the test if the delta is positive (i.e. return the number 0)\n            else 0\n    end as row_count_delta\n    from counts\n\n)\n\nselect * from final\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.540302, "supported_languages": null}, "macro.dbt_utils.test_equal_rowcount": {"name": "test_equal_rowcount", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equal_rowcount.sql", "original_file_path": "macros/generic_tests/equal_rowcount.sql", "unique_id": "macro.dbt_utils.test_equal_rowcount", "macro_sql": "{% test equal_rowcount(model, compare_model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_equal_rowcount', 'dbt_utils')(model, compare_model, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_equal_rowcount"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.54118, "supported_languages": null}, "macro.dbt_utils.default__test_equal_rowcount": {"name": "default__test_equal_rowcount", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equal_rowcount.sql", "original_file_path": "macros/generic_tests/equal_rowcount.sql", "unique_id": "macro.dbt_utils.default__test_equal_rowcount", "macro_sql": "{% macro default__test_equal_rowcount(model, compare_model, group_by_columns) %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = 'sum(coalesce(diff_count, 0))') }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n    {{ return('') }}\n{% endif %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(', ') + ', ' %}\n  {% set join_gb_cols %}\n    {% for c in group_by_columns %}\n      and a.{{c}} = b.{{c}}\n    {% endfor %}\n  {% endset %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n{#-- We must add a fake join key in case additional grouping variables are not provided --#}\n{#-- Redshift does not allow for dynamically created join conditions (e.g. full join on 1 = 1 --#}\n{#-- The same logic is used in fewer_rows_than. In case of changes, maintain consistent logic --#}\n{% set group_by_columns = ['id_dbtutils_test_equal_rowcount'] + group_by_columns %}\n{% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n\nwith a as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_equal_rowcount,\n      count(*) as count_a \n    from {{ model }}\n    {{groupby_gb_cols}}\n\n\n),\nb as (\n\n    select \n      {{select_gb_cols}}\n      1 as id_dbtutils_test_equal_rowcount,\n      count(*) as count_b \n    from {{ compare_model }}\n    {{groupby_gb_cols}}\n\n),\nfinal as (\n\n    select\n    \n        {% for c in group_by_columns -%}\n          a.{{c}} as {{c}}_a,\n          b.{{c}} as {{c}}_b,\n        {% endfor %}\n\n        count_a,\n        count_b,\n        abs(count_a - count_b) as diff_count\n\n    from a\n    full join b\n    on\n    a.id_dbtutils_test_equal_rowcount = b.id_dbtutils_test_equal_rowcount\n    {{join_gb_cols}}\n\n\n)\n\nselect * from final\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.542322, "supported_languages": null}, "macro.dbt_utils.test_relationships_where": {"name": "test_relationships_where", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/relationships_where.sql", "original_file_path": "macros/generic_tests/relationships_where.sql", "unique_id": "macro.dbt_utils.test_relationships_where", "macro_sql": "{% test relationships_where(model, column_name, to, field, from_condition=\"1=1\", to_condition=\"1=1\") %}\n  {{ return(adapter.dispatch('test_relationships_where', 'dbt_utils')(model, column_name, to, field, from_condition, to_condition)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_relationships_where"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.543, "supported_languages": null}, "macro.dbt_utils.default__test_relationships_where": {"name": "default__test_relationships_where", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/relationships_where.sql", "original_file_path": "macros/generic_tests/relationships_where.sql", "unique_id": "macro.dbt_utils.default__test_relationships_where", "macro_sql": "{% macro default__test_relationships_where(model, column_name, to, field, from_condition=\"1=1\", to_condition=\"1=1\") %}\n\n{# T-SQL has no boolean data type so we use 1=1 which returns TRUE #}\n{# ref https://stackoverflow.com/a/7170753/3842610 #}\n\nwith left_table as (\n\n  select\n    {{column_name}} as id\n\n  from {{model}}\n\n  where {{column_name}} is not null\n    and {{from_condition}}\n\n),\n\nright_table as (\n\n  select\n    {{field}} as id\n\n  from {{to}}\n\n  where {{field}} is not null\n    and {{to_condition}}\n\n),\n\nexceptions as (\n\n  select\n    left_table.id,\n    right_table.id as right_id\n\n  from left_table\n\n  left join right_table\n         on left_table.id = right_table.id\n\n  where right_table.id is null\n\n)\n\nselect * from exceptions\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5433788, "supported_languages": null}, "macro.dbt_utils.test_recency": {"name": "test_recency", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/recency.sql", "original_file_path": "macros/generic_tests/recency.sql", "unique_id": "macro.dbt_utils.test_recency", "macro_sql": "{% test recency(model, field, datepart, interval, ignore_time_component=False, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_recency', 'dbt_utils')(model, field, datepart, interval, ignore_time_component, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_recency"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.544172, "supported_languages": null}, "macro.dbt_utils.default__test_recency": {"name": "default__test_recency", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/recency.sql", "original_file_path": "macros/generic_tests/recency.sql", "unique_id": "macro.dbt_utils.default__test_recency", "macro_sql": "{% macro default__test_recency(model, field, datepart, interval, ignore_time_component, group_by_columns) %}\n\n{% set threshold = 'cast(' ~ dbt.dateadd(datepart, interval * -1, dbt.current_timestamp()) ~ ' as ' ~ ('date' if ignore_time_component else dbt.type_timestamp()) ~ ')'  %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n\nwith recency as (\n\n    select \n\n      {{ select_gb_cols }}\n      {% if ignore_time_component %}\n        cast(max({{ field }}) as date) as most_recent\n      {%- else %}\n        max({{ field }}) as most_recent\n      {%- endif %}\n\n    from {{ model }}\n\n    {{ groupby_gb_cols }}\n\n)\n\nselect\n\n    {{ select_gb_cols }}\n    most_recent,\n    {{ threshold }} as threshold\n\nfrom recency\nwhere most_recent < {{ threshold }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd", "macro.dbt.current_timestamp", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.545088, "supported_languages": null}, "macro.dbt_utils.test_not_constant": {"name": "test_not_constant", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_constant.sql", "original_file_path": "macros/generic_tests/not_constant.sql", "unique_id": "macro.dbt_utils.test_not_constant", "macro_sql": "{% test not_constant(model, column_name, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_not_constant', 'dbt_utils')(model, column_name, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_constant"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.545581, "supported_languages": null}, "macro.dbt_utils.default__test_not_constant": {"name": "default__test_not_constant", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_constant.sql", "original_file_path": "macros/generic_tests/not_constant.sql", "unique_id": "macro.dbt_utils.default__test_not_constant", "macro_sql": "{% macro default__test_not_constant(model, column_name, group_by_columns) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\n\nselect\n    {# In TSQL, subquery aggregate columns need aliases #}\n    {# thus: a filler col name, 'filler_column' #}\n    {{select_gb_cols}}\n    count(distinct {{ column_name }}) as filler_column\n\nfrom {{ model }}\n\n  {{groupby_gb_cols}}\n\nhaving count(distinct {{ column_name }}) = 1\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5461628, "supported_languages": null}, "macro.dbt_utils.test_accepted_range": {"name": "test_accepted_range", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/accepted_range.sql", "original_file_path": "macros/generic_tests/accepted_range.sql", "unique_id": "macro.dbt_utils.test_accepted_range", "macro_sql": "{% test accepted_range(model, column_name, min_value=none, max_value=none, inclusive=true) %}\n  {{ return(adapter.dispatch('test_accepted_range', 'dbt_utils')(model, column_name, min_value, max_value, inclusive)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_accepted_range"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.546877, "supported_languages": null}, "macro.dbt_utils.default__test_accepted_range": {"name": "default__test_accepted_range", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/accepted_range.sql", "original_file_path": "macros/generic_tests/accepted_range.sql", "unique_id": "macro.dbt_utils.default__test_accepted_range", "macro_sql": "{% macro default__test_accepted_range(model, column_name, min_value=none, max_value=none, inclusive=true) %}\n\nwith meet_condition as(\n  select *\n  from {{ model }}\n),\n\nvalidation_errors as (\n  select *\n  from meet_condition\n  where\n    -- never true, defaults to an empty result set. Exists to ensure any combo of the `or` clauses below succeeds\n    1 = 2\n\n  {%- if min_value is not none %}\n    -- records with a value >= min_value are permitted. The `not` flips this to find records that don't meet the rule.\n    or not {{ column_name }} > {{- \"=\" if inclusive }} {{ min_value }}\n  {%- endif %}\n\n  {%- if max_value is not none %}\n    -- records with a value <= max_value are permitted. The `not` flips this to find records that don't meet the rule.\n    or not {{ column_name }} < {{- \"=\" if inclusive }} {{ max_value }}\n  {%- endif %}\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.547401, "supported_languages": null}, "macro.dbt_utils.test_not_accepted_values": {"name": "test_not_accepted_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_accepted_values.sql", "original_file_path": "macros/generic_tests/not_accepted_values.sql", "unique_id": "macro.dbt_utils.test_not_accepted_values", "macro_sql": "{% test not_accepted_values(model, column_name, values, quote=True) %}\n  {{ return(adapter.dispatch('test_not_accepted_values', 'dbt_utils')(model, column_name, values, quote)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_accepted_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5479949, "supported_languages": null}, "macro.dbt_utils.default__test_not_accepted_values": {"name": "default__test_not_accepted_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_accepted_values.sql", "original_file_path": "macros/generic_tests/not_accepted_values.sql", "unique_id": "macro.dbt_utils.default__test_not_accepted_values", "macro_sql": "{% macro default__test_not_accepted_values(model, column_name, values, quote=True) %}\nwith all_values as (\n\n    select distinct\n        {{ column_name }} as value_field\n\n    from {{ model }}\n\n),\n\nvalidation_errors as (\n\n    select\n        value_field\n\n    from all_values\n    where value_field in (\n        {% for value in values -%}\n            {% if quote -%}\n            '{{ value }}'\n            {%- else -%}\n            {{ value }}\n            {%- endif -%}\n            {%- if not loop.last -%},{%- endif %}\n        {%- endfor %}\n        )\n\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5484102, "supported_languages": null}, "macro.dbt_utils.test_at_least_one": {"name": "test_at_least_one", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/at_least_one.sql", "original_file_path": "macros/generic_tests/at_least_one.sql", "unique_id": "macro.dbt_utils.test_at_least_one", "macro_sql": "{% test at_least_one(model, column_name, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_at_least_one', 'dbt_utils')(model, column_name, group_by_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_at_least_one"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.549091, "supported_languages": null}, "macro.dbt_utils.default__test_at_least_one": {"name": "default__test_at_least_one", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/at_least_one.sql", "original_file_path": "macros/generic_tests/at_least_one.sql", "unique_id": "macro.dbt_utils.default__test_at_least_one", "macro_sql": "{% macro default__test_at_least_one(model, column_name, group_by_columns) %}\n\n{% set pruned_cols = [column_name] %}\n\n{% if group_by_columns|length() > 0 %}\n\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n  {% set pruned_cols = group_by_columns %}\n\n  {% if column_name not in pruned_cols %}\n    {% do pruned_cols.append(column_name) %}\n  {% endif %}\n\n{% endif %}\n\n{% set select_pruned_cols = pruned_cols|join(' ,') %}\n\nselect *\nfrom (\n    with pruned_rows as (\n      select\n        {{ select_pruned_cols }}\n      from {{ model }}\n      where {{ column_name }} is not null\n      limit 1\n    )\n    select\n        {# In TSQL, subquery aggregate columns need aliases #}\n        {# thus: a filler col name, 'filler_column' #}\n      {{select_gb_cols}}\n      count({{ column_name }}) as filler_column\n\n    from pruned_rows\n\n    {{groupby_gb_cols}}\n\n    having count({{ column_name }}) = 0\n\n) validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5500228, "supported_languages": null}, "macro.dbt_utils.test_unique_combination_of_columns": {"name": "test_unique_combination_of_columns", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/unique_combination_of_columns.sql", "original_file_path": "macros/generic_tests/unique_combination_of_columns.sql", "unique_id": "macro.dbt_utils.test_unique_combination_of_columns", "macro_sql": "{% test unique_combination_of_columns(model, combination_of_columns, quote_columns=false) %}\n  {{ return(adapter.dispatch('test_unique_combination_of_columns', 'dbt_utils')(model, combination_of_columns, quote_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_unique_combination_of_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.550684, "supported_languages": null}, "macro.dbt_utils.default__test_unique_combination_of_columns": {"name": "default__test_unique_combination_of_columns", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/unique_combination_of_columns.sql", "original_file_path": "macros/generic_tests/unique_combination_of_columns.sql", "unique_id": "macro.dbt_utils.default__test_unique_combination_of_columns", "macro_sql": "{% macro default__test_unique_combination_of_columns(model, combination_of_columns, quote_columns=false) %}\n\n{% if not quote_columns %}\n    {%- set column_list=combination_of_columns %}\n{% elif quote_columns %}\n    {%- set column_list=[] %}\n        {% for column in combination_of_columns -%}\n            {% set column_list = column_list.append( adapter.quote(column) ) %}\n        {%- endfor %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`quote_columns` argument for unique_combination_of_columns test must be one of [True, False] Got: '\" ~ quote ~\"'.'\"\n    ) }}\n{% endif %}\n\n{%- set columns_csv=column_list | join(', ') %}\n\n\nwith validation_errors as (\n\n    select\n        {{ columns_csv }}\n    from {{ model }}\n    group by {{ columns_csv }}\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.551358, "supported_languages": null}, "macro.dbt_utils.test_cardinality_equality": {"name": "test_cardinality_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/cardinality_equality.sql", "original_file_path": "macros/generic_tests/cardinality_equality.sql", "unique_id": "macro.dbt_utils.test_cardinality_equality", "macro_sql": "{% test cardinality_equality(model, column_name, to, field) %}\n    {{ return(adapter.dispatch('test_cardinality_equality', 'dbt_utils')(model, column_name, to, field)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_cardinality_equality"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.551915, "supported_languages": null}, "macro.dbt_utils.default__test_cardinality_equality": {"name": "default__test_cardinality_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/cardinality_equality.sql", "original_file_path": "macros/generic_tests/cardinality_equality.sql", "unique_id": "macro.dbt_utils.default__test_cardinality_equality", "macro_sql": "{% macro default__test_cardinality_equality(model, column_name, to, field) %}\n\n{# T-SQL does not let you use numbers as aliases for columns #}\n{# Thus, no \"GROUP BY 1\" #}\n\nwith table_a as (\nselect\n  {{ column_name }},\n  count(*) as num_rows\nfrom {{ model }}\ngroup by {{ column_name }}\n),\n\ntable_b as (\nselect\n  {{ field }},\n  count(*) as num_rows\nfrom {{ to }}\ngroup by {{ field }}\n),\n\nexcept_a as (\n  select *\n  from table_a\n  {{ dbt.except() }}\n  select *\n  from table_b\n),\n\nexcept_b as (\n  select *\n  from table_b\n  {{ dbt.except() }}\n  select *\n  from table_a\n),\n\nunioned as (\n  select *\n  from except_a\n  union all\n  select *\n  from except_b\n)\n\nselect *\nfrom unioned\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5522938, "supported_languages": null}, "macro.dbt_utils.test_expression_is_true": {"name": "test_expression_is_true", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/expression_is_true.sql", "original_file_path": "macros/generic_tests/expression_is_true.sql", "unique_id": "macro.dbt_utils.test_expression_is_true", "macro_sql": "{% test expression_is_true(model, expression, column_name=None) %}\n  {{ return(adapter.dispatch('test_expression_is_true', 'dbt_utils')(model, expression, column_name)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.552707, "supported_languages": null}, "macro.dbt_utils.default__test_expression_is_true": {"name": "default__test_expression_is_true", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/expression_is_true.sql", "original_file_path": "macros/generic_tests/expression_is_true.sql", "unique_id": "macro.dbt_utils.default__test_expression_is_true", "macro_sql": "{% macro default__test_expression_is_true(model, expression, column_name) %}\n\n{% set column_list = '*' if should_store_failures() else \"1\" %}\n\nselect\n    {{ column_list }}\nfrom {{ model }}\n{% if column_name is none %}\nwhere not({{ expression }})\n{%- else %}\nwhere not({{ column_name }} {{ expression }})\n{%- endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.should_store_failures"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5530932, "supported_languages": null}, "macro.dbt_utils.test_not_null_proportion": {"name": "test_not_null_proportion", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_null_proportion.sql", "original_file_path": "macros/generic_tests/not_null_proportion.sql", "unique_id": "macro.dbt_utils.test_not_null_proportion", "macro_sql": "{% macro test_not_null_proportion(model, group_by_columns = []) %}\n  {{ return(adapter.dispatch('test_not_null_proportion', 'dbt_utils')(model, group_by_columns, **kwargs)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_null_proportion"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.553746, "supported_languages": null}, "macro.dbt_utils.default__test_not_null_proportion": {"name": "default__test_not_null_proportion", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_null_proportion.sql", "original_file_path": "macros/generic_tests/not_null_proportion.sql", "unique_id": "macro.dbt_utils.default__test_not_null_proportion", "macro_sql": "{% macro default__test_not_null_proportion(model, group_by_columns) %}\n\n{% set column_name = kwargs.get('column_name', kwargs.get('arg')) %}\n{% set at_least = kwargs.get('at_least', kwargs.get('arg')) %}\n{% set at_most = kwargs.get('at_most', kwargs.get('arg', 1)) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(' ,') + ', ' %}\n  {% set groupby_gb_cols = 'group by ' + group_by_columns|join(',') %}\n{% endif %}\n\nwith validation as (\n  select\n    {{select_gb_cols}}\n    sum(case when {{ column_name }} is null then 0 else 1 end) / cast(count(*) as numeric) as not_null_proportion\n  from {{ model }}\n  {{groupby_gb_cols}}\n),\nvalidation_errors as (\n  select\n    {{select_gb_cols}}\n    not_null_proportion\n  from validation\n  where not_null_proportion < {{ at_least }} or not_null_proportion > {{ at_most }}\n)\nselect\n  *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.554652, "supported_languages": null}, "macro.dbt_utils.test_sequential_values": {"name": "test_sequential_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/sequential_values.sql", "original_file_path": "macros/generic_tests/sequential_values.sql", "unique_id": "macro.dbt_utils.test_sequential_values", "macro_sql": "{% test sequential_values(model, column_name, interval=1, datepart=None, group_by_columns = []) %}\n\n  {{ return(adapter.dispatch('test_sequential_values', 'dbt_utils')(model, column_name, interval, datepart, group_by_columns)) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_sequential_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.555656, "supported_languages": null}, "macro.dbt_utils.default__test_sequential_values": {"name": "default__test_sequential_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/sequential_values.sql", "original_file_path": "macros/generic_tests/sequential_values.sql", "unique_id": "macro.dbt_utils.default__test_sequential_values", "macro_sql": "{% macro default__test_sequential_values(model, column_name, interval=1, datepart=None, group_by_columns = []) %}\n\n{% set previous_column_name = \"previous_\" ~ dbt_utils.slugify(column_name) %}\n\n{% if group_by_columns|length() > 0 %}\n  {% set select_gb_cols = group_by_columns|join(',') + ', ' %}\n  {% set partition_gb_cols = 'partition by ' + group_by_columns|join(',') %}\n{% endif %}\n\nwith windowed as (\n\n    select\n        {{ select_gb_cols }}\n        {{ column_name }},\n        lag({{ column_name }}) over (\n            {{partition_gb_cols}}\n            order by {{ column_name }}\n        ) as {{ previous_column_name }}\n    from {{ model }}\n),\n\nvalidation_errors as (\n    select\n        *\n    from windowed\n    {% if datepart %}\n    where not(cast({{ column_name }} as {{ dbt.type_timestamp() }})= cast({{ dbt.dateadd(datepart, interval, previous_column_name) }} as {{ dbt.type_timestamp() }}))\n    {% else %}\n    where not({{ column_name }} = {{ previous_column_name }} + {{ interval }})\n    {% endif %}\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.slugify", "macro.dbt.type_timestamp", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.556684, "supported_languages": null}, "macro.dbt_utils.test_equality": {"name": "test_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equality.sql", "original_file_path": "macros/generic_tests/equality.sql", "unique_id": "macro.dbt_utils.test_equality", "macro_sql": "{% test equality(model, compare_model, compare_columns=None) %}\n  {{ return(adapter.dispatch('test_equality', 'dbt_utils')(model, compare_model, compare_columns)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_equality"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.55746, "supported_languages": null}, "macro.dbt_utils.default__test_equality": {"name": "default__test_equality", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/equality.sql", "original_file_path": "macros/generic_tests/equality.sql", "unique_id": "macro.dbt_utils.default__test_equality", "macro_sql": "{% macro default__test_equality(model, compare_model, compare_columns=None) %}\n\n{% set set_diff %}\n    count(*) + coalesce(abs(\n        sum(case when which_diff = 'a_minus_b' then 1 else 0 end) -\n        sum(case when which_diff = 'b_minus_a' then 1 else 0 end)\n    ), 0)\n{% endset %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = set_diff) }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n    {{ return('') }}\n{% endif %}\n\n-- setup\n{%- do dbt_utils._is_relation(model, 'test_equality') -%}\n\n{#-\nIf the compare_cols arg is provided, we can run this test without querying the\ninformation schema\u00a0\u2014 this allows the model to be an ephemeral model\n-#}\n\n{%- if not compare_columns -%}\n    {%- do dbt_utils._is_ephemeral(model, 'test_equality') -%}\n    {%- set compare_columns = adapter.get_columns_in_relation(model) | map(attribute='quoted') -%}\n{%- endif -%}\n\n{% set compare_cols_csv = compare_columns | join(', ') %}\n\nwith a as (\n\n    select * from {{ model }}\n\n),\n\nb as (\n\n    select * from {{ compare_model }}\n\n),\n\na_minus_b as (\n\n    select {{compare_cols_csv}} from a\n    {{ dbt.except() }}\n    select {{compare_cols_csv}} from b\n\n),\n\nb_minus_a as (\n\n    select {{compare_cols_csv}} from b\n    {{ dbt.except() }}\n    select {{compare_cols_csv}} from a\n\n),\n\nunioned as (\n\n    select 'a_minus_b' as which_diff, a_minus_b.* from a_minus_b\n    union all\n    select 'b_minus_a' as which_diff, b_minus_a.* from b_minus_a\n\n)\n\nselect * from unioned\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.except"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.558403, "supported_languages": null}, "macro.dbt_utils.test_not_empty_string": {"name": "test_not_empty_string", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_empty_string.sql", "original_file_path": "macros/generic_tests/not_empty_string.sql", "unique_id": "macro.dbt_utils.test_not_empty_string", "macro_sql": "{% test not_empty_string(model, column_name, trim_whitespace=true) %}\n\n  {{ return(adapter.dispatch('test_not_empty_string', 'dbt_utils')(model, column_name, trim_whitespace)) }}\n\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_not_empty_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.55895, "supported_languages": null}, "macro.dbt_utils.default__test_not_empty_string": {"name": "default__test_not_empty_string", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/not_empty_string.sql", "original_file_path": "macros/generic_tests/not_empty_string.sql", "unique_id": "macro.dbt_utils.default__test_not_empty_string", "macro_sql": "{% macro default__test_not_empty_string(model, column_name, trim_whitespace=true) %}\n\n    with\n    \n    all_values as (\n\n        select \n\n\n            {% if trim_whitespace == true -%}\n\n                trim({{ column_name }}) as {{ column_name }}\n\n            {%- else -%}\n\n                {{ column_name }}\n\n            {%- endif %}\n            \n        from {{ model }}\n\n    ),\n\n    errors as (\n\n        select * from all_values\n        where {{ column_name }} = ''\n\n    )\n\n    select * from errors\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5592692, "supported_languages": null}, "macro.dbt_utils.test_mutually_exclusive_ranges": {"name": "test_mutually_exclusive_ranges", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/mutually_exclusive_ranges.sql", "original_file_path": "macros/generic_tests/mutually_exclusive_ranges.sql", "unique_id": "macro.dbt_utils.test_mutually_exclusive_ranges", "macro_sql": "{% test mutually_exclusive_ranges(model, lower_bound_column, upper_bound_column, partition_by=None, gaps='allowed', zero_length_range_allowed=False) %}\n  {{ return(adapter.dispatch('test_mutually_exclusive_ranges', 'dbt_utils')(model, lower_bound_column, upper_bound_column, partition_by, gaps, zero_length_range_allowed)) }}\n{% endtest %}", "depends_on": {"macros": ["macro.dbt_utils.default__test_mutually_exclusive_ranges"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5628748, "supported_languages": null}, "macro.dbt_utils.default__test_mutually_exclusive_ranges": {"name": "default__test_mutually_exclusive_ranges", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/generic_tests/mutually_exclusive_ranges.sql", "original_file_path": "macros/generic_tests/mutually_exclusive_ranges.sql", "unique_id": "macro.dbt_utils.default__test_mutually_exclusive_ranges", "macro_sql": "{% macro default__test_mutually_exclusive_ranges(model, lower_bound_column, upper_bound_column, partition_by=None, gaps='allowed', zero_length_range_allowed=False) %}\n{% if gaps == 'not_allowed' %}\n    {% set allow_gaps_operator='=' %}\n    {% set allow_gaps_operator_in_words='equal_to' %}\n{% elif gaps == 'allowed' %}\n    {% set allow_gaps_operator='<=' %}\n    {% set allow_gaps_operator_in_words='less_than_or_equal_to' %}\n{% elif gaps == 'required' %}\n    {% set allow_gaps_operator='<' %}\n    {% set allow_gaps_operator_in_words='less_than' %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`gaps` argument for mutually_exclusive_ranges test must be one of ['not_allowed', 'allowed', 'required'] Got: '\" ~ gaps ~\"'.'\"\n    ) }}\n{% endif %}\n{% if not zero_length_range_allowed %}\n    {% set allow_zero_length_operator='<' %}\n    {% set allow_zero_length_operator_in_words='less_than' %}\n{% elif zero_length_range_allowed %}\n    {% set allow_zero_length_operator='<=' %}\n    {% set allow_zero_length_operator_in_words='less_than_or_equal_to' %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\n        \"`zero_length_range_allowed` argument for mutually_exclusive_ranges test must be one of [true, false] Got: '\" ~ zero_length_range_allowed ~\"'.'\"\n    ) }}\n{% endif %}\n\n{% set partition_clause=\"partition by \" ~ partition_by if partition_by else '' %}\n\nwith window_functions as (\n\n    select\n        {% if partition_by %}\n        {{ partition_by }} as partition_by_col,\n        {% endif %}\n        {{ lower_bound_column }} as lower_bound,\n        {{ upper_bound_column }} as upper_bound,\n\n        lead({{ lower_bound_column }}) over (\n            {{ partition_clause }}\n            order by {{ lower_bound_column }}, {{ upper_bound_column }}\n        ) as next_lower_bound,\n\n        row_number() over (\n            {{ partition_clause }}\n            order by {{ lower_bound_column }} desc, {{ upper_bound_column }} desc\n        ) = 1 as is_last_record\n\n    from {{ model }}\n\n),\n\ncalc as (\n    -- We want to return records where one of our assumptions fails, so we'll use\n    -- the `not` function with `and` statements so we can write our assumptions more cleanly\n    select\n        *,\n\n        -- For each record: lower_bound should be < upper_bound.\n        -- Coalesce it to return an error on the null case (implicit assumption\n        -- these columns are not_null)\n        coalesce(\n            lower_bound {{ allow_zero_length_operator }} upper_bound,\n            false\n        ) as lower_bound_{{ allow_zero_length_operator_in_words }}_upper_bound,\n\n        -- For each record: upper_bound {{ allow_gaps_operator }} the next lower_bound.\n        -- Coalesce it to handle null cases for the last record.\n        coalesce(\n            upper_bound {{ allow_gaps_operator }} next_lower_bound,\n            is_last_record,\n            false\n        ) as upper_bound_{{ allow_gaps_operator_in_words }}_next_lower_bound\n\n    from window_functions\n\n),\n\nvalidation_errors as (\n\n    select\n        *\n    from calc\n\n    where not(\n        -- THE FOLLOWING SHOULD BE TRUE --\n        lower_bound_{{ allow_zero_length_operator_in_words }}_upper_bound\n        and upper_bound_{{ allow_gaps_operator_in_words }}_next_lower_bound\n    )\n)\n\nselect * from validation_errors\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.564678, "supported_languages": null}, "macro.dbt_utils.pretty_log_format": {"name": "pretty_log_format", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_log_format.sql", "original_file_path": "macros/jinja_helpers/pretty_log_format.sql", "unique_id": "macro.dbt_utils.pretty_log_format", "macro_sql": "{% macro pretty_log_format(message) %}\n    {{ return(adapter.dispatch('pretty_log_format', 'dbt_utils')(message)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pretty_log_format"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.564992, "supported_languages": null}, "macro.dbt_utils.default__pretty_log_format": {"name": "default__pretty_log_format", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_log_format.sql", "original_file_path": "macros/jinja_helpers/pretty_log_format.sql", "unique_id": "macro.dbt_utils.default__pretty_log_format", "macro_sql": "{% macro default__pretty_log_format(message) %}\n    {{ return( dbt_utils.pretty_time() ~ ' + ' ~ message) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.pretty_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.565172, "supported_languages": null}, "macro.dbt_utils._is_relation": {"name": "_is_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/_is_relation.sql", "original_file_path": "macros/jinja_helpers/_is_relation.sql", "unique_id": "macro.dbt_utils._is_relation", "macro_sql": "{% macro _is_relation(obj, macro) %}\n    {%- if not (obj is mapping and obj.get('metadata', {}).get('type', '').endswith('Relation')) -%}\n        {%- do exceptions.raise_compiler_error(\"Macro \" ~ macro ~ \" expected a Relation but received the value: \" ~ obj) -%}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.565674, "supported_languages": null}, "macro.dbt_utils.pretty_time": {"name": "pretty_time", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_time.sql", "original_file_path": "macros/jinja_helpers/pretty_time.sql", "unique_id": "macro.dbt_utils.pretty_time", "macro_sql": "{% macro pretty_time(format='%H:%M:%S') %}\n    {{ return(adapter.dispatch('pretty_time', 'dbt_utils')(format)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pretty_time"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.56598, "supported_languages": null}, "macro.dbt_utils.default__pretty_time": {"name": "default__pretty_time", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/pretty_time.sql", "original_file_path": "macros/jinja_helpers/pretty_time.sql", "unique_id": "macro.dbt_utils.default__pretty_time", "macro_sql": "{% macro default__pretty_time(format='%H:%M:%S') %}\n    {{ return(modules.datetime.datetime.now().strftime(format)) }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.566201, "supported_languages": null}, "macro.dbt_utils.log_info": {"name": "log_info", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/log_info.sql", "original_file_path": "macros/jinja_helpers/log_info.sql", "unique_id": "macro.dbt_utils.log_info", "macro_sql": "{% macro log_info(message) %}\n    {{ return(adapter.dispatch('log_info', 'dbt_utils')(message)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__log_info"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5664861, "supported_languages": null}, "macro.dbt_utils.default__log_info": {"name": "default__log_info", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/log_info.sql", "original_file_path": "macros/jinja_helpers/log_info.sql", "unique_id": "macro.dbt_utils.default__log_info", "macro_sql": "{% macro default__log_info(message) %}\n    {{ log(dbt_utils.pretty_log_format(message), info=True) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.pretty_log_format"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.566782, "supported_languages": null}, "macro.dbt_utils.slugify": {"name": "slugify", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/slugify.sql", "original_file_path": "macros/jinja_helpers/slugify.sql", "unique_id": "macro.dbt_utils.slugify", "macro_sql": "{% macro slugify(string) %}\n\n{#- Lower case the string -#}\n{% set string = string | lower %}\n{#- Replace spaces and dashes with underscores -#}\n{% set string = modules.re.sub('[ -]+', '_', string) %}\n{#- Only take letters, numbers, and underscores -#}\n{% set string = modules.re.sub('[^a-z0-9_]+', '', string) %}\n{#- Prepends \"_\" if string begins with a number -#}\n{% set string = modules.re.sub('^[0-9]', '_' + string[0], string) %}\n\n{{ return(string) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.567497, "supported_languages": null}, "macro.dbt_utils._is_ephemeral": {"name": "_is_ephemeral", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/jinja_helpers/_is_ephemeral.sql", "original_file_path": "macros/jinja_helpers/_is_ephemeral.sql", "unique_id": "macro.dbt_utils._is_ephemeral", "macro_sql": "{% macro _is_ephemeral(obj, macro) %}\n    {%- if obj.is_cte -%}\n        {% set ephemeral_prefix = api.Relation.add_ephemeral_prefix('') %}\n        {% if obj.name.startswith(ephemeral_prefix) %}\n            {% set model_name = obj.name[(ephemeral_prefix|length):] %}\n        {% else %}\n            {% set model_name = obj.name %}\n        {%- endif -%}\n        {% set error_message %}\nThe `{{ macro }}` macro cannot be used with ephemeral models, as it relies on the information schema.\n\n`{{ model_name }}` is an ephemeral model. Consider making it a view or table instead.\n        {% endset %}\n        {%- do exceptions.raise_compiler_error(error_message) -%}\n    {%- endif -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5683799, "supported_languages": null}, "macro.dbt_utils.get_intervals_between": {"name": "get_intervals_between", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.get_intervals_between", "macro_sql": "{% macro get_intervals_between(start_date, end_date, datepart) -%}\n    {{ return(adapter.dispatch('get_intervals_between', 'dbt_utils')(start_date, end_date, datepart)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_intervals_between"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.569112, "supported_languages": null}, "macro.dbt_utils.default__get_intervals_between": {"name": "default__get_intervals_between", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.default__get_intervals_between", "macro_sql": "{% macro default__get_intervals_between(start_date, end_date, datepart) -%}\n    {%- call statement('get_intervals_between', fetch_result=True) %}\n\n        select {{ dbt.datediff(start_date, end_date, datepart) }}\n\n    {%- endcall -%}\n\n    {%- set value_list = load_result('get_intervals_between') -%}\n\n    {%- if value_list and value_list['data'] -%}\n        {%- set values = value_list['data'] | map(attribute=0) | list %}\n        {{ return(values[0]) }}\n    {%- else -%}\n        {{ return(1) }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.569747, "supported_languages": null}, "macro.dbt_utils.date_spine": {"name": "date_spine", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.date_spine", "macro_sql": "{% macro date_spine(datepart, start_date, end_date) %}\n    {{ return(adapter.dispatch('date_spine', 'dbt_utils')(datepart, start_date, end_date)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__date_spine"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5700018, "supported_languages": null}, "macro.dbt_utils.default__date_spine": {"name": "default__date_spine", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "unique_id": "macro.dbt_utils.default__date_spine", "macro_sql": "{% macro default__date_spine(datepart, start_date, end_date) %}\n\n\n{# call as follows:\n\ndate_spine(\n    \"day\",\n    \"to_date('01/01/2016', 'mm/dd/yyyy')\",\n    \"dbt.dateadd(week, 1, current_date)\"\n) #}\n\n\nwith rawdata as (\n\n    {{dbt_utils.generate_series(\n        dbt_utils.get_intervals_between(start_date, end_date, datepart)\n    )}}\n\n),\n\nall_periods as (\n\n    select (\n        {{\n            dbt.dateadd(\n                datepart,\n                \"row_number() over (order by 1) - 1\",\n                start_date\n            )\n        }}\n    ) as date_{{datepart}}\n    from rawdata\n\n),\n\nfiltered as (\n\n    select *\n    from all_periods\n    where date_{{datepart}} <= {{ end_date }}\n\n)\n\nselect * from filtered\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.generate_series", "macro.dbt_utils.get_intervals_between", "macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.57039, "supported_languages": null}, "macro.dbt_utils.safe_subtract": {"name": "safe_subtract", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_subtract.sql", "original_file_path": "macros/sql/safe_subtract.sql", "unique_id": "macro.dbt_utils.safe_subtract", "macro_sql": "{%- macro safe_subtract(field_list) -%}\n    {{ return(adapter.dispatch('safe_subtract', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_subtract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.570792, "supported_languages": null}, "macro.dbt_utils.default__safe_subtract": {"name": "default__safe_subtract", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_subtract.sql", "original_file_path": "macros/sql/safe_subtract.sql", "unique_id": "macro.dbt_utils.default__safe_subtract", "macro_sql": "\n\n{%- macro default__safe_subtract(field_list) -%}\n\n{%- if field_list is not iterable or field_list is string or field_list is mapping -%}\n\n{%- set error_message = '\nWarning: the `safe_subtract` macro takes a single list argument instead of \\\nstring arguments. The {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.raise_compiler_error(error_message) -%}\n\n{%- endif -%}\n\n{% set fields = [] %}\n\n{%- for field in field_list -%}\n\n    {% do fields.append(\"coalesce(\" ~ field ~ \", 0)\") %}\n\n{%- endfor -%}\n\n{{ fields|join(' -\\n  ') }}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.571372, "supported_languages": null}, "macro.dbt_utils.nullcheck_table": {"name": "nullcheck_table", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck_table.sql", "original_file_path": "macros/sql/nullcheck_table.sql", "unique_id": "macro.dbt_utils.nullcheck_table", "macro_sql": "{% macro nullcheck_table(relation) %}\n    {{ return(adapter.dispatch('nullcheck_table', 'dbt_utils')(relation)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__nullcheck_table"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.571702, "supported_languages": null}, "macro.dbt_utils.default__nullcheck_table": {"name": "default__nullcheck_table", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck_table.sql", "original_file_path": "macros/sql/nullcheck_table.sql", "unique_id": "macro.dbt_utils.default__nullcheck_table", "macro_sql": "{% macro default__nullcheck_table(relation) %}\n\n  {%- do dbt_utils._is_relation(relation, 'nullcheck_table') -%}\n  {%- do dbt_utils._is_ephemeral(relation, 'nullcheck_table') -%}\n  {% set cols = adapter.get_columns_in_relation(relation) %}\n\n  select {{ dbt_utils.nullcheck(cols) }}\n  from {{relation}}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.nullcheck"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.572066, "supported_languages": null}, "macro.dbt_utils.get_relations_by_pattern": {"name": "get_relations_by_pattern", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_pattern.sql", "original_file_path": "macros/sql/get_relations_by_pattern.sql", "unique_id": "macro.dbt_utils.get_relations_by_pattern", "macro_sql": "{% macro get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_relations_by_pattern', 'dbt_utils')(schema_pattern, table_pattern, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.572789, "supported_languages": null}, "macro.dbt_utils.default__get_relations_by_pattern": {"name": "default__get_relations_by_pattern", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_pattern.sql", "original_file_path": "macros/sql/get_relations_by_pattern.sql", "unique_id": "macro.dbt_utils.default__get_relations_by_pattern", "macro_sql": "{% macro default__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n      {{ dbt_utils.get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude, database) }}\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n        {%- set tbl_relations = [] -%}\n        {%- for row in table_list['table'] -%}\n            {%- set tbl_relation = api.Relation.create(\n                database=database,\n                schema=row.table_schema,\n                identifier=row.table_name,\n                type=row.table_type\n            ) -%}\n            {%- do tbl_relations.append(tbl_relation) -%}\n        {%- endfor -%}\n\n        {{ return(tbl_relations) }}\n    {%- else -%}\n        {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.574005, "supported_languages": null}, "macro.dbt_utils.get_powers_of_two": {"name": "get_powers_of_two", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.get_powers_of_two", "macro_sql": "{% macro get_powers_of_two(upper_bound) %}\n    {{ return(adapter.dispatch('get_powers_of_two', 'dbt_utils')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.57494, "supported_languages": null}, "macro.dbt_utils.default__get_powers_of_two": {"name": "default__get_powers_of_two", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.default__get_powers_of_two", "macro_sql": "{% macro default__get_powers_of_two(upper_bound) %}\n\n    {% if upper_bound <= 0 %}\n    {{ exceptions.raise_compiler_error(\"upper bound must be positive\") }}\n    {% endif %}\n\n    {% for _ in range(1, 100) %}\n       {% if upper_bound <= 2 ** loop.index %}{{ return(loop.index) }}{% endif %}\n    {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.575392, "supported_languages": null}, "macro.dbt_utils.generate_series": {"name": "generate_series", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.generate_series", "macro_sql": "{% macro generate_series(upper_bound) %}\n    {{ return(adapter.dispatch('generate_series', 'dbt_utils')(upper_bound)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__generate_series"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5756009, "supported_languages": null}, "macro.dbt_utils.default__generate_series": {"name": "default__generate_series", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "unique_id": "macro.dbt_utils.default__generate_series", "macro_sql": "{% macro default__generate_series(upper_bound) %}\n\n    {% set n = dbt_utils.get_powers_of_two(upper_bound) %}\n\n    with p as (\n        select 0 as generated_number union all select 1\n    ), unioned as (\n\n    select\n\n    {% for i in range(n) %}\n    p{{i}}.generated_number * power(2, {{i}})\n    {% if not loop.last %} + {% endif %}\n    {% endfor %}\n    + 1\n    as generated_number\n\n    from\n\n    {% for i in range(n) %}\n    p as p{{i}}\n    {% if not loop.last %} cross join {% endif %}\n    {% endfor %}\n\n    )\n\n    select *\n    from unioned\n    where generated_number <= {{upper_bound}}\n    order by generated_number\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.57617, "supported_languages": null}, "macro.dbt_utils.get_relations_by_prefix": {"name": "get_relations_by_prefix", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_prefix.sql", "original_file_path": "macros/sql/get_relations_by_prefix.sql", "unique_id": "macro.dbt_utils.get_relations_by_prefix", "macro_sql": "{% macro get_relations_by_prefix(schema, prefix, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_relations_by_prefix', 'dbt_utils')(schema, prefix, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_relations_by_prefix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.57691, "supported_languages": null}, "macro.dbt_utils.default__get_relations_by_prefix": {"name": "default__get_relations_by_prefix", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_relations_by_prefix.sql", "original_file_path": "macros/sql/get_relations_by_prefix.sql", "unique_id": "macro.dbt_utils.default__get_relations_by_prefix", "macro_sql": "{% macro default__get_relations_by_prefix(schema, prefix, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n      {{ dbt_utils.get_tables_by_prefix_sql(schema, prefix, exclude, database) }}\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n        {%- set tbl_relations = [] -%}\n        {%- for row in table_list['table'] -%}\n            {%- set tbl_relation = api.Relation.create(\n                database=database,\n                schema=row.table_schema,\n                identifier=row.table_name,\n                type=row.table_type\n            ) -%}\n            {%- do tbl_relations.append(tbl_relation) -%}\n        {%- endfor -%}\n\n        {{ return(tbl_relations) }}\n    {%- else -%}\n        {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.get_tables_by_prefix_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.577864, "supported_languages": null}, "macro.dbt_utils.get_tables_by_prefix_sql": {"name": "get_tables_by_prefix_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_prefix_sql.sql", "original_file_path": "macros/sql/get_tables_by_prefix_sql.sql", "unique_id": "macro.dbt_utils.get_tables_by_prefix_sql", "macro_sql": "{% macro get_tables_by_prefix_sql(schema, prefix, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_tables_by_prefix_sql', 'dbt_utils')(schema, prefix, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_tables_by_prefix_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.578337, "supported_languages": null}, "macro.dbt_utils.default__get_tables_by_prefix_sql": {"name": "default__get_tables_by_prefix_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_prefix_sql.sql", "original_file_path": "macros/sql/get_tables_by_prefix_sql.sql", "unique_id": "macro.dbt_utils.default__get_tables_by_prefix_sql", "macro_sql": "{% macro default__get_tables_by_prefix_sql(schema, prefix, exclude='', database=target.database) %}\n\n    {{ dbt_utils.get_tables_by_pattern_sql(\n        schema_pattern = schema,\n        table_pattern = prefix ~ '%',\n        exclude = exclude,\n        database = database\n    ) }}\n    \n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.578699, "supported_languages": null}, "macro.dbt_utils.star": {"name": "star", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/star.sql", "original_file_path": "macros/sql/star.sql", "unique_id": "macro.dbt_utils.star", "macro_sql": "{% macro star(from, relation_alias=False, except=[], prefix='', suffix='', quote_identifiers=True) -%}\r\n    {{ return(adapter.dispatch('star', 'dbt_utils')(from, relation_alias, except, prefix, suffix, quote_identifiers)) }}\r\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__star"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.580205, "supported_languages": null}, "macro.dbt_utils.default__star": {"name": "default__star", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/star.sql", "original_file_path": "macros/sql/star.sql", "unique_id": "macro.dbt_utils.default__star", "macro_sql": "{% macro default__star(from, relation_alias=False, except=[], prefix='', suffix='', quote_identifiers=True) -%}\r\n    {%- do dbt_utils._is_relation(from, 'star') -%}\r\n    {%- do dbt_utils._is_ephemeral(from, 'star') -%}\r\n\r\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\r\n    {%- if not execute -%}\r\n        {% do return('*') %}\r\n    {%- endif -%}\r\n\r\n    {% set cols = dbt_utils.get_filtered_columns_in_relation(from, except) %}\r\n\r\n    {%- if cols|length <= 0 -%}\r\n        {% if flags.WHICH == 'compile' %}\r\n            {% set response %}\r\n*\r\n/* No columns were returned. Maybe the relation doesn't exist yet \r\nor all columns were excluded. This star is only output during  \r\ndbt compile, and exists to keep SQLFluff happy. */\r\n            {% endset %}\r\n            {% do return(response) %}\r\n        {% else %}\r\n            {% do return(\"/* no columns returned from star() macro */\") %}\r\n        {% endif %}\r\n    {%- else -%}\r\n        {%- for col in cols %}\r\n            {%- if relation_alias %}{{ relation_alias }}.{% else %}{%- endif -%}\r\n                {%- if quote_identifiers -%}\r\n                    {{ adapter.quote(col)|trim }} {%- if prefix!='' or suffix!='' %} as {{ adapter.quote(prefix ~ col ~ suffix)|trim }} {%- endif -%}\r\n                {%- else -%}\r\n                    {{ col|trim }} {%- if prefix!='' or suffix!='' %} as {{ (prefix ~ col ~ suffix)|trim }} {%- endif -%}\r\n                {% endif %}\r\n            {%- if not loop.last %},{{ '\\n  ' }}{%- endif -%}\r\n        {%- endfor -%}\r\n    {% endif %}\r\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.get_filtered_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.581783, "supported_languages": null}, "macro.dbt_utils.unpivot": {"name": "unpivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/unpivot.sql", "original_file_path": "macros/sql/unpivot.sql", "unique_id": "macro.dbt_utils.unpivot", "macro_sql": "{% macro unpivot(relation=none, cast_to='varchar', exclude=none, remove=none, field_name='field_name', value_name='value') -%}\n    {{ return(adapter.dispatch('unpivot', 'dbt_utils')(relation, cast_to, exclude, remove, field_name, value_name)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__unpivot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.583214, "supported_languages": null}, "macro.dbt_utils.default__unpivot": {"name": "default__unpivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/unpivot.sql", "original_file_path": "macros/sql/unpivot.sql", "unique_id": "macro.dbt_utils.default__unpivot", "macro_sql": "{% macro default__unpivot(relation=none, cast_to='varchar', exclude=none, remove=none, field_name='field_name', value_name='value') -%}\n\n    {% if not relation %}\n        {{ exceptions.raise_compiler_error(\"Error: argument `relation` is required for `unpivot` macro.\") }}\n    {% endif %}\n\n  {%- set exclude = exclude if exclude is not none else [] %}\n  {%- set remove = remove if remove is not none else [] %}\n\n  {%- set include_cols = [] %}\n\n  {%- set table_columns = {} %}\n\n  {%- do table_columns.update({relation: []}) %}\n\n  {%- do dbt_utils._is_relation(relation, 'unpivot') -%}\n  {%- do dbt_utils._is_ephemeral(relation, 'unpivot') -%}\n  {%- set cols = adapter.get_columns_in_relation(relation) %}\n\n  {%- for col in cols -%}\n    {%- if col.column.lower() not in remove|map('lower') and col.column.lower() not in exclude|map('lower') -%}\n      {% do include_cols.append(col) %}\n    {%- endif %}\n  {%- endfor %}\n\n\n  {%- for col in include_cols -%}\n    select\n      {%- for exclude_col in exclude %}\n        {{ exclude_col }},\n      {%- endfor %}\n\n      cast('{{ col.column }}' as {{ dbt.type_string() }}) as {{ field_name }},\n      cast(  {% if col.data_type == 'boolean' %}\n           {{ dbt.cast_bool_to_text(col.column) }}\n             {% else %}\n           {{ col.column }}\n             {% endif %}\n           as {{ cast_to }}) as {{ value_name }}\n\n    from {{ relation }}\n\n    {% if not loop.last -%}\n      union all\n    {% endif -%}\n  {%- endfor -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.type_string", "macro.dbt.cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5849721, "supported_languages": null}, "macro.dbt_utils.safe_divide": {"name": "safe_divide", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_divide.sql", "original_file_path": "macros/sql/safe_divide.sql", "unique_id": "macro.dbt_utils.safe_divide", "macro_sql": "{% macro safe_divide(numerator, denominator) -%}\n  {{ return(adapter.dispatch('safe_divide', 'dbt_utils')(numerator, denominator)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_divide"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.58528, "supported_languages": null}, "macro.dbt_utils.default__safe_divide": {"name": "default__safe_divide", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_divide.sql", "original_file_path": "macros/sql/safe_divide.sql", "unique_id": "macro.dbt_utils.default__safe_divide", "macro_sql": "{% macro default__safe_divide(numerator, denominator) %}\n    ( {{ numerator }} ) / nullif( ( {{ denominator }} ), 0)\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5854201, "supported_languages": null}, "macro.dbt_utils.union_relations": {"name": "union_relations", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/union.sql", "original_file_path": "macros/sql/union.sql", "unique_id": "macro.dbt_utils.union_relations", "macro_sql": "{%- macro union_relations(relations, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_relation', where=none) -%}\n    {{ return(adapter.dispatch('union_relations', 'dbt_utils')(relations, column_override, include, exclude, source_column_name, where)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__union_relations"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5889652, "supported_languages": null}, "macro.dbt_utils.default__union_relations": {"name": "default__union_relations", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/union.sql", "original_file_path": "macros/sql/union.sql", "unique_id": "macro.dbt_utils.default__union_relations", "macro_sql": "\n\n{%- macro default__union_relations(relations, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_relation', where=none) -%}\n\n    {%- if exclude and include -%}\n        {{ exceptions.raise_compiler_error(\"Both an exclude and include list were provided to the `union` macro. Only one is allowed\") }}\n    {%- endif -%}\n\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. -#}\n    {%- if not execute %}\n        {{ return('') }}\n    {% endif -%}\n\n    {%- set column_override = column_override if column_override is not none else {} -%}\n\n    {%- set relation_columns = {} -%}\n    {%- set column_superset = {} -%}\n    {%- set all_excludes = [] -%}\n    {%- set all_includes = [] -%}\n\n    {%- if exclude -%}\n        {%- for exc in exclude -%}\n            {%- do all_excludes.append(exc | lower) -%}\n        {%- endfor -%}\n    {%- endif -%}\n\n    {%- if include -%}\n        {%- for inc in include -%}\n            {%- do all_includes.append(inc | lower) -%}\n        {%- endfor -%}\n    {%- endif -%}\n\n    {%- for relation in relations -%}\n\n        {%- do relation_columns.update({relation: []}) -%}\n\n        {%- do dbt_utils._is_relation(relation, 'union_relations') -%}\n        {%- do dbt_utils._is_ephemeral(relation, 'union_relations') -%}\n        {%- set cols = adapter.get_columns_in_relation(relation) -%}\n        {%- for col in cols -%}\n\n        {#- If an exclude list was provided and the column is in the list, do nothing -#}\n        {%- if exclude and col.column | lower in all_excludes -%}\n\n        {#- If an include list was provided and the column is not in the list, do nothing -#}\n        {%- elif include and col.column | lower not in all_includes -%}\n\n        {#- Otherwise add the column to the column superset -#}\n        {%- else -%}\n\n            {#- update the list of columns in this relation -#}\n            {%- do relation_columns[relation].append(col.column) -%}\n\n            {%- if col.column in column_superset -%}\n\n                {%- set stored = column_superset[col.column] -%}\n                {%- if col.is_string() and stored.is_string() and col.string_size() > stored.string_size() -%}\n\n                    {%- do column_superset.update({col.column: col}) -%}\n\n                {%- endif %}\n\n            {%- else -%}\n\n                {%- do column_superset.update({col.column: col}) -%}\n\n            {%- endif -%}\n\n        {%- endif -%}\n\n        {%- endfor -%}\n    {%- endfor -%}\n\n    {%- set ordered_column_names = column_superset.keys() -%}\n    {%- set dbt_command = flags.WHICH -%}\n\n\n    {% if dbt_command in ['run', 'build'] %}\n    {% if (include | length > 0 or exclude | length > 0) and not column_superset.keys() %}\n        {%- set relations_string -%}\n            {%- for relation in relations -%}\n                {{ relation.name }}\n            {%- if not loop.last %}, {% endif -%}\n            {%- endfor -%}\n        {%- endset -%}\n\n        {%- set error_message -%}\n            There were no columns found to union for relations {{ relations_string }}\n        {%- endset -%}\n\n        {{ exceptions.raise_compiler_error(error_message) }}\n    {%- endif -%}\n    {%- endif -%}\n\n    {%- for relation in relations %}\n\n        (\n            select\n\n                {%- if source_column_name is not none %}\n                cast({{ dbt.string_literal(relation) }} as {{ dbt.type_string() }}) as {{ source_column_name }},\n                {%- endif %}\n\n                {% for col_name in ordered_column_names -%}\n\n                    {%- set col = column_superset[col_name] %}\n                    {%- set col_type = column_override.get(col.column, col.data_type) %}\n                    {%- set col_name = adapter.quote(col_name) if col_name in relation_columns[relation] else 'null' %}\n                    cast({{ col_name }} as {{ col_type }}) as {{ col.quoted }} {% if not loop.last %},{% endif -%}\n\n                {%- endfor %}\n\n            from {{ relation }}\n\n            {% if where -%}\n            where {{ where }}\n            {%- endif %}\n        )\n\n        {% if not loop.last -%}\n            union all\n        {% endif -%}\n\n    {%- endfor -%}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt.string_literal", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.592799, "supported_languages": null}, "macro.dbt_utils.group_by": {"name": "group_by", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/groupby.sql", "original_file_path": "macros/sql/groupby.sql", "unique_id": "macro.dbt_utils.group_by", "macro_sql": "{%- macro group_by(n) -%}\n    {{ return(adapter.dispatch('group_by', 'dbt_utils')(n)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__group_by"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.593163, "supported_languages": null}, "macro.dbt_utils.default__group_by": {"name": "default__group_by", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/groupby.sql", "original_file_path": "macros/sql/groupby.sql", "unique_id": "macro.dbt_utils.default__group_by", "macro_sql": "\n\n{%- macro default__group_by(n) -%}\n\n  group by {% for i in range(1, n + 1) -%}\n      {{ i }}{{ ',' if not loop.last }}   \n   {%- endfor -%}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.593428, "supported_languages": null}, "macro.dbt_utils.deduplicate": {"name": "deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.deduplicate", "macro_sql": "{%- macro deduplicate(relation, partition_by, order_by) -%}\n    {{ return(adapter.dispatch('deduplicate', 'dbt_utils')(relation, partition_by, order_by)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.bigquery__deduplicate"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.594197, "supported_languages": null}, "macro.dbt_utils.default__deduplicate": {"name": "default__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.default__deduplicate", "macro_sql": "\n\n{%- macro default__deduplicate(relation, partition_by, order_by) -%}\n\n    with row_numbered as (\n        select\n            _inner.*,\n            row_number() over (\n                partition by {{ partition_by }}\n                order by {{ order_by }}\n            ) as rn\n        from {{ relation }} as _inner\n    )\n\n    select\n        distinct data.*\n    from {{ relation }} as data\n    {#\n    -- Not all DBs will support natural joins but the ones that do include:\n    -- Oracle, MySQL, SQLite, Redshift, Teradata, Materialize, Databricks\n    -- Apache Spark, SingleStore, Vertica\n    -- Those that do not appear to support natural joins include:\n    -- SQLServer, Trino, Presto, Rockset, Athena\n    #}\n    natural join row_numbered\n    where row_numbered.rn = 1\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.594429, "supported_languages": null}, "macro.dbt_utils.redshift__deduplicate": {"name": "redshift__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.redshift__deduplicate", "macro_sql": "{% macro redshift__deduplicate(relation, partition_by, order_by) -%}\n\n    {{ return(dbt_utils.default__deduplicate(relation, partition_by, order_by=order_by)) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__deduplicate"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.594647, "supported_languages": null}, "macro.dbt_utils.postgres__deduplicate": {"name": "postgres__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.postgres__deduplicate", "macro_sql": "\n{%- macro postgres__deduplicate(relation, partition_by, order_by) -%}\n\n    select\n        distinct on ({{ partition_by }}) *\n    from {{ relation }}\n    order by {{ partition_by }}{{ ',' ~ order_by }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.59485, "supported_languages": null}, "macro.dbt_utils.snowflake__deduplicate": {"name": "snowflake__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.snowflake__deduplicate", "macro_sql": "\n{%- macro snowflake__deduplicate(relation, partition_by, order_by) -%}\n\n    select *\n    from {{ relation }}\n    qualify\n        row_number() over (\n            partition by {{ partition_by }}\n            order by {{ order_by }}\n        ) = 1\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.595037, "supported_languages": null}, "macro.dbt_utils.bigquery__deduplicate": {"name": "bigquery__deduplicate", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/deduplicate.sql", "original_file_path": "macros/sql/deduplicate.sql", "unique_id": "macro.dbt_utils.bigquery__deduplicate", "macro_sql": "\n{%- macro bigquery__deduplicate(relation, partition_by, order_by) -%}\n\n    select unique.*\n    from (\n        select\n            array_agg (\n                original\n                order by {{ order_by }}\n                limit 1\n            )[offset(0)] unique\n        from {{ relation }} original\n        group by {{ partition_by }}\n    )\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.595229, "supported_languages": null}, "macro.dbt_utils.surrogate_key": {"name": "surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/surrogate_key.sql", "original_file_path": "macros/sql/surrogate_key.sql", "unique_id": "macro.dbt_utils.surrogate_key", "macro_sql": "{%- macro surrogate_key(field_list) -%}\n    {% set frustrating_jinja_feature = varargs %}\n    {{ return(adapter.dispatch('surrogate_key', 'dbt_utils')(field_list, *varargs)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__surrogate_key"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5956569, "supported_languages": null}, "macro.dbt_utils.default__surrogate_key": {"name": "default__surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/surrogate_key.sql", "original_file_path": "macros/sql/surrogate_key.sql", "unique_id": "macro.dbt_utils.default__surrogate_key", "macro_sql": "\n\n{%- macro default__surrogate_key(field_list) -%}\n\n{%- set error_message = '\nWarning: `dbt_utils.surrogate_key` has been replaced by \\\n`dbt_utils.generate_surrogate_key`. The new macro treats null values \\\ndifferently to empty strings. To restore the behaviour of the original \\\nmacro, add a global variable in dbt_project.yml called \\\n`surrogate_key_treat_nulls_as_empty_strings` to your \\\ndbt_project.yml file with a value of True. \\\nThe {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.raise_compiler_error(error_message) -%}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5959291, "supported_languages": null}, "macro.dbt_utils.safe_add": {"name": "safe_add", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_add.sql", "original_file_path": "macros/sql/safe_add.sql", "unique_id": "macro.dbt_utils.safe_add", "macro_sql": "{%- macro safe_add(field_list) -%}\n    {{ return(adapter.dispatch('safe_add', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__safe_add"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.59634, "supported_languages": null}, "macro.dbt_utils.default__safe_add": {"name": "default__safe_add", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/safe_add.sql", "original_file_path": "macros/sql/safe_add.sql", "unique_id": "macro.dbt_utils.default__safe_add", "macro_sql": "\n\n{%- macro default__safe_add(field_list) -%}\n\n{%- if field_list is not iterable or field_list is string or field_list is mapping -%}\n\n{%- set error_message = '\nWarning: the `safe_add` macro now takes a single list argument instead of \\\nstring arguments. The {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.warn(error_message) -%}\n\n{%- endif -%}\n\n{% set fields = [] %}\n\n{%- for field in field_list -%}\n\n    {% do fields.append(\"coalesce(\" ~ field ~ \", 0)\") %}\n\n{%- endfor -%}\n\n{{ fields|join(' +\\n  ') }}\n\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5969138, "supported_languages": null}, "macro.dbt_utils.nullcheck": {"name": "nullcheck", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck.sql", "original_file_path": "macros/sql/nullcheck.sql", "unique_id": "macro.dbt_utils.nullcheck", "macro_sql": "{% macro nullcheck(cols) %}\n    {{ return(adapter.dispatch('nullcheck', 'dbt_utils')(cols)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__nullcheck"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.597266, "supported_languages": null}, "macro.dbt_utils.default__nullcheck": {"name": "default__nullcheck", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/nullcheck.sql", "original_file_path": "macros/sql/nullcheck.sql", "unique_id": "macro.dbt_utils.default__nullcheck", "macro_sql": "{% macro default__nullcheck(cols) %}\n{%- for col in cols %}\n\n    {% if col.is_string() -%}\n\n    nullif({{col.name}},'') as {{col.name}}\n\n    {%- else -%}\n\n    {{col.name}}\n\n    {%- endif -%}\n\n{%- if not loop.last -%} , {%- endif -%}\n\n{%- endfor -%}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.5976162, "supported_languages": null}, "macro.dbt_utils.get_tables_by_pattern_sql": {"name": "get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.get_tables_by_pattern_sql", "macro_sql": "{% macro get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(adapter.dispatch('get_tables_by_pattern_sql', 'dbt_utils')\n        (schema_pattern, table_pattern, exclude, database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.bigquery__get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.599496, "supported_languages": null}, "macro.dbt_utils.default__get_tables_by_pattern_sql": {"name": "default__get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.default__get_tables_by_pattern_sql", "macro_sql": "{% macro default__get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n        select distinct\n            table_schema as {{ adapter.quote('table_schema') }},\n            table_name as {{ adapter.quote('table_name') }},\n            {{ dbt_utils.get_table_types_sql() }}\n        from {{ database }}.information_schema.tables\n        where table_schema ilike '{{ schema_pattern }}'\n        and table_name ilike '{{ table_pattern }}'\n        and table_name not ilike '{{ exclude }}'\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.599905, "supported_languages": null}, "macro.dbt_utils.bigquery__get_tables_by_pattern_sql": {"name": "bigquery__get_tables_by_pattern_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils.bigquery__get_tables_by_pattern_sql", "macro_sql": "{% macro bigquery__get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {% if '%' in schema_pattern %}\n        {% set schemata=dbt_utils._bigquery__get_matching_schemata(schema_pattern, database) %}\n    {% else %}\n        {% set schemata=[schema_pattern] %}\n    {% endif %}\n\n    {% set sql %}\n        {% for schema in schemata %}\n            select distinct\n                table_schema,\n                table_name,\n                {{ dbt_utils.get_table_types_sql() }}\n\n            from {{ adapter.quote(database) }}.{{ schema }}.INFORMATION_SCHEMA.TABLES\n            where lower(table_name) like lower ('{{ table_pattern }}')\n                and lower(table_name) not like lower ('{{ exclude }}')\n\n            {% if not loop.last %} union all {% endif %}\n\n        {% endfor %}\n    {% endset %}\n\n    {{ return(sql) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._bigquery__get_matching_schemata", "macro.dbt_utils.get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.600779, "supported_languages": null}, "macro.dbt_utils._bigquery__get_matching_schemata": {"name": "_bigquery__get_matching_schemata", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "unique_id": "macro.dbt_utils._bigquery__get_matching_schemata", "macro_sql": "{% macro _bigquery__get_matching_schemata(schema_pattern, database) %}\n    {% if execute %}\n\n        {% set sql %}\n        select schema_name from {{ adapter.quote(database) }}.INFORMATION_SCHEMA.SCHEMATA\n        where lower(schema_name) like lower('{{ schema_pattern }}')\n        {% endset %}\n\n        {% set results=run_query(sql) %}\n\n        {% set schemata=results.columns['schema_name'].values() %}\n\n        {{ return(schemata) }}\n\n    {% else %}\n\n        {{ return([]) }}\n\n    {% endif %}\n\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.601343, "supported_languages": null}, "macro.dbt_utils.get_column_values": {"name": "get_column_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_column_values.sql", "original_file_path": "macros/sql/get_column_values.sql", "unique_id": "macro.dbt_utils.get_column_values", "macro_sql": "{% macro get_column_values(table, column, order_by='count(*) desc', max_records=none, default=none, where=none) -%}\n    {{ return(adapter.dispatch('get_column_values', 'dbt_utils')(table, column, order_by, max_records, default, where)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_column_values"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.602587, "supported_languages": null}, "macro.dbt_utils.default__get_column_values": {"name": "default__get_column_values", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_column_values.sql", "original_file_path": "macros/sql/get_column_values.sql", "unique_id": "macro.dbt_utils.default__get_column_values", "macro_sql": "{% macro default__get_column_values(table, column, order_by='count(*) desc', max_records=none, default=none, where=none) -%}\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n    {%- if not execute -%}\n        {% set default = [] if not default %}\n        {{ return(default) }}\n    {% endif %}\n\n    {%- do dbt_utils._is_ephemeral(table, 'get_column_values') -%}\n\n    {# Not all relations are tables. Renaming for internal clarity without breaking functionality for anyone using named arguments #}\n    {# TODO: Change the method signature in a future 0.x.0 release #}\n    {%- set target_relation = table -%}\n\n    {# adapter.load_relation is a convenience wrapper to avoid building a Relation when we already have one #}\n    {% set relation_exists = (load_relation(target_relation)) is not none %}\n\n    {%- call statement('get_column_values', fetch_result=true) %}\n\n        {%- if not relation_exists and default is none -%}\n\n          {{ exceptions.raise_compiler_error(\"In get_column_values(): relation \" ~ target_relation ~ \" does not exist and no default value was provided.\") }}\n\n        {%- elif not relation_exists and default is not none -%}\n\n          {{ log(\"Relation \" ~ target_relation ~ \" does not exist. Returning the default value: \" ~ default) }}\n\n          {{ return(default) }}\n\n        {%- else -%}\n\n\n            select\n                {{ column }} as value\n\n            from {{ target_relation }}\n\n            {% if where is not none %}\n            where {{ where }}\n            {% endif %}\n\n            group by {{ column }}\n            order by {{ order_by }}\n\n            {% if max_records is not none %}\n            limit {{ max_records }}\n            {% endif %}\n\n        {% endif %}\n\n    {%- endcall -%}\n\n    {%- set value_list = load_result('get_column_values') -%}\n\n    {%- if value_list and value_list['data'] -%}\n        {%- set values = value_list['data'] | map(attribute=0) | list %}\n        {{ return(values) }}\n    {%- else -%}\n        {{ return(default) }}\n    {%- endif -%}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_ephemeral", "macro.dbt.load_relation", "macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6041799, "supported_languages": null}, "macro.dbt_utils.pivot": {"name": "pivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/pivot.sql", "original_file_path": "macros/sql/pivot.sql", "unique_id": "macro.dbt_utils.pivot", "macro_sql": "{% macro pivot(column,\n               values,\n               alias=True,\n               agg='sum',\n               cmp='=',\n               prefix='',\n               suffix='',\n               then_value=1,\n               else_value=0,\n               quote_identifiers=True,\n               distinct=False) %}\n    {{ return(adapter.dispatch('pivot', 'dbt_utils')(column, values, alias, agg, cmp, prefix, suffix, then_value, else_value, quote_identifiers, distinct)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__pivot"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.605294, "supported_languages": null}, "macro.dbt_utils.default__pivot": {"name": "default__pivot", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/pivot.sql", "original_file_path": "macros/sql/pivot.sql", "unique_id": "macro.dbt_utils.default__pivot", "macro_sql": "{% macro default__pivot(column,\n               values,\n               alias=True,\n               agg='sum',\n               cmp='=',\n               prefix='',\n               suffix='',\n               then_value=1,\n               else_value=0,\n               quote_identifiers=True,\n               distinct=False) %}\n  {% for value in values %}\n    {{ agg }}(\n      {% if distinct %} distinct {% endif %}\n      case\n      when {{ column }} {{ cmp }} '{{ dbt.escape_single_quotes(value) }}'\n        then {{ then_value }}\n      else {{ else_value }}\n      end\n    )\n    {% if alias %}\n      {% if quote_identifiers %}\n            as {{ adapter.quote(prefix ~ value ~ suffix) }}\n      {% else %}\n        as {{ dbt_utils.slugify(prefix ~ value ~ suffix) }}\n      {% endif %}\n    {% endif %}\n    {% if not loop.last %},{% endif %}\n  {% endfor %}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.escape_single_quotes", "macro.dbt_utils.slugify"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.606185, "supported_languages": null}, "macro.dbt_utils.get_filtered_columns_in_relation": {"name": "get_filtered_columns_in_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_filtered_columns_in_relation.sql", "original_file_path": "macros/sql/get_filtered_columns_in_relation.sql", "unique_id": "macro.dbt_utils.get_filtered_columns_in_relation", "macro_sql": "{% macro get_filtered_columns_in_relation(from, except=[]) -%}\n    {{ return(adapter.dispatch('get_filtered_columns_in_relation', 'dbt_utils')(from, except)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_filtered_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.606669, "supported_languages": null}, "macro.dbt_utils.default__get_filtered_columns_in_relation": {"name": "default__get_filtered_columns_in_relation", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_filtered_columns_in_relation.sql", "original_file_path": "macros/sql/get_filtered_columns_in_relation.sql", "unique_id": "macro.dbt_utils.default__get_filtered_columns_in_relation", "macro_sql": "{% macro default__get_filtered_columns_in_relation(from, except=[]) -%}\n    {%- do dbt_utils._is_relation(from, 'get_filtered_columns_in_relation') -%}\n    {%- do dbt_utils._is_ephemeral(from, 'get_filtered_columns_in_relation') -%}\n\n    {# -- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n    {%- if not execute -%}\n        {{ return('') }}\n    {% endif %}\n\n    {%- set include_cols = [] %}\n    {%- set cols = adapter.get_columns_in_relation(from) -%}\n    {%- set except = except | map(\"lower\") | list %}\n    {%- for col in cols -%}\n        {%- if col.column|lower not in except -%}\n            {% do include_cols.append(col.column) %}\n        {%- endif %}\n    {%- endfor %}\n\n    {{ return(include_cols) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.607436, "supported_languages": null}, "macro.dbt_utils.width_bucket": {"name": "width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.width_bucket", "macro_sql": "{% macro width_bucket(expr, min_value, max_value, num_buckets) %}\n  {{ return(adapter.dispatch('width_bucket', 'dbt_utils') (expr, min_value, max_value, num_buckets)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__width_bucket"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6082408, "supported_languages": null}, "macro.dbt_utils.default__width_bucket": {"name": "default__width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.default__width_bucket", "macro_sql": "{% macro default__width_bucket(expr, min_value, max_value, num_buckets) -%}\n\n    {% set bin_size -%}\n    (( {{ max_value }} - {{ min_value }} ) / {{ num_buckets }} )\n    {%- endset %}\n    (\n        -- to break ties when the amount is eaxtly at the bucket egde\n        case\n            when\n                mod(\n                    {{ dbt.safe_cast(expr, dbt.type_numeric() ) }},\n                    {{ dbt.safe_cast(bin_size, dbt.type_numeric() ) }}\n                ) = 0\n            then 1\n            else 0\n        end\n    ) +\n      -- Anything over max_value goes the N+1 bucket\n    least(\n        ceil(\n            ({{ expr }} - {{ min_value }})/{{ bin_size }}\n        ),\n        {{ num_buckets }} + 1\n    )\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt.safe_cast", "macro.dbt.type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.608725, "supported_languages": null}, "macro.dbt_utils.snowflake__width_bucket": {"name": "snowflake__width_bucket", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/width_bucket.sql", "original_file_path": "macros/sql/width_bucket.sql", "unique_id": "macro.dbt_utils.snowflake__width_bucket", "macro_sql": "{% macro snowflake__width_bucket(expr, min_value, max_value, num_buckets) %}\n    width_bucket({{ expr }}, {{ min_value }}, {{ max_value }}, {{ num_buckets }} )\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.608924, "supported_languages": null}, "macro.dbt_utils.get_query_results_as_dict": {"name": "get_query_results_as_dict", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_query_results_as_dict.sql", "original_file_path": "macros/sql/get_query_results_as_dict.sql", "unique_id": "macro.dbt_utils.get_query_results_as_dict", "macro_sql": "{% macro get_query_results_as_dict(query) %}\n    {{ return(adapter.dispatch('get_query_results_as_dict', 'dbt_utils')(query)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_query_results_as_dict"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6093261, "supported_languages": null}, "macro.dbt_utils.default__get_query_results_as_dict": {"name": "default__get_query_results_as_dict", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_query_results_as_dict.sql", "original_file_path": "macros/sql/get_query_results_as_dict.sql", "unique_id": "macro.dbt_utils.default__get_query_results_as_dict", "macro_sql": "{% macro default__get_query_results_as_dict(query) %}\n\n{# This macro returns a dictionary of the form {column_name: (tuple_of_results)} #}\n\n    {%- call statement('get_query_results', fetch_result=True,auto_begin=false) -%}\n\n        {{ query }}\n\n    {%- endcall -%}\n\n    {% set sql_results={} %}\n\n    {%- if execute -%}\n        {% set sql_results_table = load_result('get_query_results').table.columns %}\n        {% for column_name, column in sql_results_table.items() %}\n            {% do sql_results.update({column_name: column.values()}) %}\n        {% endfor %}\n    {%- endif -%}\n\n    {{ return(sql_results) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.609982, "supported_languages": null}, "macro.dbt_utils.generate_surrogate_key": {"name": "generate_surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_surrogate_key.sql", "original_file_path": "macros/sql/generate_surrogate_key.sql", "unique_id": "macro.dbt_utils.generate_surrogate_key", "macro_sql": "{%- macro generate_surrogate_key(field_list) -%}\n    {{ return(adapter.dispatch('generate_surrogate_key', 'dbt_utils')(field_list)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__generate_surrogate_key"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.610467, "supported_languages": null}, "macro.dbt_utils.default__generate_surrogate_key": {"name": "default__generate_surrogate_key", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/generate_surrogate_key.sql", "original_file_path": "macros/sql/generate_surrogate_key.sql", "unique_id": "macro.dbt_utils.default__generate_surrogate_key", "macro_sql": "\n\n{%- macro default__generate_surrogate_key(field_list) -%}\n\n{%- if var('surrogate_key_treat_nulls_as_empty_strings', False) -%}\n    {%- set default_null_value = \"\" -%}\n{%- else -%}\n    {%- set default_null_value = '_dbt_utils_surrogate_key_null_' -%}\n{%- endif -%}\n\n{%- set fields = [] -%}\n\n{%- for field in field_list -%}\n\n    {%- do fields.append(\n        \"coalesce(cast(\" ~ field ~ \" as \" ~ dbt.type_string() ~ \"), '\" ~ default_null_value  ~\"')\"\n    ) -%}\n\n    {%- if not loop.last %}\n        {%- do fields.append(\"'-'\") -%}\n    {%- endif -%}\n\n{%- endfor -%}\n\n{{ dbt.hash(dbt.concat(fields)) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.hash", "macro.dbt.concat"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6111329, "supported_languages": null}, "macro.dbt_utils.get_table_types_sql": {"name": "get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.get_table_types_sql", "macro_sql": "{%- macro get_table_types_sql() -%}\n  {{ return(adapter.dispatch('get_table_types_sql', 'dbt_utils')()) }}\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_utils.default__get_table_types_sql"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6117508, "supported_languages": null}, "macro.dbt_utils.default__get_table_types_sql": {"name": "default__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.default__get_table_types_sql", "macro_sql": "{% macro default__get_table_types_sql() %}\n            case table_type\n                when 'BASE TABLE' then 'table'\n                when 'EXTERNAL TABLE' then 'external'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.611915, "supported_languages": null}, "macro.dbt_utils.postgres__get_table_types_sql": {"name": "postgres__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.postgres__get_table_types_sql", "macro_sql": "{% macro postgres__get_table_types_sql() %}\n            case table_type\n                when 'BASE TABLE' then 'table'\n                when 'FOREIGN' then 'external'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6120682, "supported_languages": null}, "macro.dbt_utils.databricks__get_table_types_sql": {"name": "databricks__get_table_types_sql", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_table_types_sql.sql", "original_file_path": "macros/sql/get_table_types_sql.sql", "unique_id": "macro.dbt_utils.databricks__get_table_types_sql", "macro_sql": "{% macro databricks__get_table_types_sql() %}\n            case table_type\n                when 'MANAGED' then 'table'\n                when 'BASE TABLE' then 'table'\n                when 'MATERIALIZED VIEW' then 'materializedview'\n                else lower(table_type)\n            end as {{ adapter.quote('table_type') }}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.612225, "supported_languages": null}, "macro.dbt_utils.get_single_value": {"name": "get_single_value", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_single_value.sql", "original_file_path": "macros/sql/get_single_value.sql", "unique_id": "macro.dbt_utils.get_single_value", "macro_sql": "{% macro get_single_value(query, default=none) %}\n    {{ return(adapter.dispatch('get_single_value', 'dbt_utils')(query, default)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.default__get_single_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6127932, "supported_languages": null}, "macro.dbt_utils.default__get_single_value": {"name": "default__get_single_value", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/get_single_value.sql", "original_file_path": "macros/sql/get_single_value.sql", "unique_id": "macro.dbt_utils.default__get_single_value", "macro_sql": "{% macro default__get_single_value(query, default) %}\n\n{# This macro returns the (0, 0) record in a query, i.e. the first row of the first column #}\n\n    {%- call statement('get_query_result', fetch_result=True, auto_begin=false) -%}\n\n        {{ query }}\n\n    {%- endcall -%}\n\n    {%- if execute -%}\n\n        {% set r = load_result('get_query_result').table.columns[0].values() %}\n        {% if r | length == 0 %}\n            {% do print('Query `' ~ query ~ '` returned no rows. Using the default value: ' ~ default) %}\n            {% set sql_result = default %}\n        {% else %}\n            {% set sql_result = r[0] %}\n        {% endif %}\n        \n    {%- else -%}\n    \n        {% set sql_result = default %}\n    \n    {%- endif -%}\n\n    {% do return(sql_result) %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.613696, "supported_languages": null}, "macro.dbt_utils.degrees_to_radians": {"name": "degrees_to_radians", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.degrees_to_radians", "macro_sql": "{% macro degrees_to_radians(degrees) -%}\n    acos(-1) * {{degrees}} / 180\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.614851, "supported_languages": null}, "macro.dbt_utils.haversine_distance": {"name": "haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.haversine_distance", "macro_sql": "{% macro haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n    {{ return(adapter.dispatch('haversine_distance', 'dbt_utils')(lat1,lon1,lat2,lon2,unit)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.bigquery__haversine_distance"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.615146, "supported_languages": null}, "macro.dbt_utils.default__haversine_distance": {"name": "default__haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.default__haversine_distance", "macro_sql": "{% macro default__haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n{%- if unit == 'mi' %}\n    {% set conversion_rate = 1 %}\n{% elif unit == 'km' %}\n    {% set conversion_rate = 1.60934 %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\"unit input must be one of 'mi' or 'km'. Got \" ~ unit) }}\n{% endif %}\n\n    2 * 3961 * asin(sqrt(power((sin(radians(({{ lat2 }} - {{ lat1 }}) / 2))), 2) +\n    cos(radians({{lat1}})) * cos(radians({{lat2}})) *\n    power((sin(radians(({{ lon2 }} - {{ lon1 }}) / 2))), 2))) * {{ conversion_rate }}\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.615762, "supported_languages": null}, "macro.dbt_utils.bigquery__haversine_distance": {"name": "bigquery__haversine_distance", "resource_type": "macro", "package_name": "dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "unique_id": "macro.dbt_utils.bigquery__haversine_distance", "macro_sql": "{% macro bigquery__haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n{% set radians_lat1 = dbt_utils.degrees_to_radians(lat1) %}\n{% set radians_lat2 = dbt_utils.degrees_to_radians(lat2) %}\n{% set radians_lon1 = dbt_utils.degrees_to_radians(lon1) %}\n{% set radians_lon2 = dbt_utils.degrees_to_radians(lon2) %}\n{%- if unit == 'mi' %}\n    {% set conversion_rate = 1 %}\n{% elif unit == 'km' %}\n    {% set conversion_rate = 1.60934 %}\n{% else %}\n    {{ exceptions.raise_compiler_error(\"unit input must be one of 'mi' or 'km'. Got \" ~ unit) }}\n{% endif %}\n    2 * 3961 * asin(sqrt(power(sin(({{ radians_lat2 }} - {{ radians_lat1 }}) / 2), 2) +\n    cos({{ radians_lat1 }}) * cos({{ radians_lat2 }}) *\n    power(sin(({{ radians_lon2 }} - {{ radians_lon1 }}) / 2), 2))) * {{ conversion_rate }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.degrees_to_radians"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.616616, "supported_languages": null}, "macro.spark_utils.get_tables": {"name": "get_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_tables", "macro_sql": "{% macro get_tables(table_regex_pattern='.*') %}\n\n  {% set tables = [] %}\n  {% for database in spark__list_schemas('not_used') %}\n    {% for table in spark__list_relations_without_caching(database[0]) %}\n      {% set db_tablename = database[0] ~ \".\" ~ table[1] %}\n      {% set is_match = modules.re.match(table_regex_pattern, db_tablename) %}\n      {% if is_match %}\n        {% call statement('table_detail', fetch_result=True) -%}\n          describe extended {{ db_tablename }}\n        {% endcall %}\n\n        {% set table_type = load_result('table_detail').table|reverse|selectattr(0, 'in', ('type', 'TYPE', 'Type'))|first %}\n        {% if table_type[1]|lower != 'view' %}\n          {{ tables.append(db_tablename) }}\n        {% endif %}\n      {% endif %}\n    {% endfor %}\n  {% endfor %}\n  {{ return(tables) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.622095, "supported_languages": null}, "macro.spark_utils.get_delta_tables": {"name": "get_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_delta_tables", "macro_sql": "{% macro get_delta_tables(table_regex_pattern='.*') %}\n\n  {% set delta_tables = [] %}\n  {% for db_tablename in get_tables(table_regex_pattern) %}\n    {% call statement('table_detail', fetch_result=True) -%}\n      describe extended {{ db_tablename }}\n    {% endcall %}\n\n    {% set table_type = load_result('table_detail').table|reverse|selectattr(0, 'in', ('provider', 'PROVIDER', 'Provider'))|first %}\n    {% if table_type[1]|lower == 'delta' %}\n      {{ delta_tables.append(db_tablename) }}\n    {% endif %}\n  {% endfor %}\n  {{ return(delta_tables) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_tables", "macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.622863, "supported_languages": null}, "macro.spark_utils.get_statistic_columns": {"name": "get_statistic_columns", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.get_statistic_columns", "macro_sql": "{% macro get_statistic_columns(table) %}\n\n  {% call statement('input_columns', fetch_result=True) %}\n    SHOW COLUMNS IN {{ table }}\n  {% endcall %}\n  {% set input_columns = load_result('input_columns').table %}\n\n  {% set output_columns = [] %}\n  {% for column in input_columns %}\n    {% call statement('column_information', fetch_result=True) %}\n      DESCRIBE TABLE {{ table }} `{{ column[0] }}`\n    {% endcall %}\n    {% if not load_result('column_information').table[1][1].startswith('struct') and not load_result('column_information').table[1][1].startswith('array')  %}\n      {{ output_columns.append('`' ~ column[0] ~ '`') }}\n    {% endif %}\n  {% endfor %}\n  {{ return(output_columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6238458, "supported_languages": null}, "macro.spark_utils.spark_optimize_delta_tables": {"name": "spark_optimize_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_optimize_delta_tables", "macro_sql": "{% macro spark_optimize_delta_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_delta_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Optimizing \" ~ table) }}\n    {% do run_query(\"optimize \" ~ table) %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_delta_tables", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6246688, "supported_languages": null}, "macro.spark_utils.spark_vacuum_delta_tables": {"name": "spark_vacuum_delta_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_vacuum_delta_tables", "macro_sql": "{% macro spark_vacuum_delta_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_delta_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Vacuuming \" ~ table) }}\n    {% do run_query(\"vacuum \" ~ table) %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_delta_tables", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.625461, "supported_languages": null}, "macro.spark_utils.spark_analyze_tables": {"name": "spark_analyze_tables", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/maintenance_operation.sql", "original_file_path": "macros/maintenance_operation.sql", "unique_id": "macro.spark_utils.spark_analyze_tables", "macro_sql": "{% macro spark_analyze_tables(table_regex_pattern='.*') %}\n\n  {% for table in get_tables(table_regex_pattern) %}\n    {% set start=modules.datetime.datetime.now() %}\n    {% set columns = get_statistic_columns(table) | join(',') %}\n    {% set message_prefix=loop.index ~ \" of \" ~ loop.length %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Analyzing \" ~ table) }}\n    {% if columns != '' %}\n      {% do run_query(\"analyze table \" ~ table ~ \" compute statistics for columns \" ~ columns) %}\n    {% endif %}\n    {% set end=modules.datetime.datetime.now() %}\n    {% set total_seconds = (end - start).total_seconds() | round(2)  %}\n    {{ dbt_utils.log_info(message_prefix ~ \" Finished \" ~ table ~ \" in \" ~ total_seconds ~ \"s\") }}\n  {% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.get_tables", "macro.spark_utils.get_statistic_columns", "macro.dbt_utils.log_info", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.626697, "supported_languages": null}, "macro.spark_utils.spark__concat": {"name": "spark__concat", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/concat.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/concat.sql", "unique_id": "macro.spark_utils.spark__concat", "macro_sql": "{% macro spark__concat(fields) -%}\n    concat({{ fields|join(', ') }})\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6268868, "supported_languages": null}, "macro.spark_utils.spark__type_numeric": {"name": "spark__type_numeric", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/datatypes.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/datatypes.sql", "unique_id": "macro.spark_utils.spark__type_numeric", "macro_sql": "{% macro spark__type_numeric() %}\n    decimal(28, 6)\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.626996, "supported_languages": null}, "macro.spark_utils.spark__dateadd": {"name": "spark__dateadd", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/dateadd.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/dateadd.sql", "unique_id": "macro.spark_utils.spark__dateadd", "macro_sql": "{% macro spark__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n    {%- set clock_component -%}\n        {# make sure the dates + timestamps are real, otherwise raise an error asap #}\n        to_unix_timestamp({{ spark_utils.assert_not_null('to_timestamp', from_date_or_timestamp) }})\n        - to_unix_timestamp({{ spark_utils.assert_not_null('date', from_date_or_timestamp) }})\n    {%- endset -%}\n\n    {%- if datepart in ['day', 'week'] -%}\n        \n        {%- set multiplier = 7 if datepart == 'week' else 1 -%}\n\n        to_timestamp(\n            to_unix_timestamp(\n                date_add(\n                    {{ spark_utils.assert_not_null('date', from_date_or_timestamp) }},\n                    cast({{interval}} * {{multiplier}} as int)\n                )\n            ) + {{clock_component}}\n        )\n\n    {%- elif datepart in ['month', 'quarter', 'year'] -%}\n    \n        {%- set multiplier -%} \n            {%- if datepart == 'month' -%} 1\n            {%- elif datepart == 'quarter' -%} 3\n            {%- elif datepart == 'year' -%} 12\n            {%- endif -%}\n        {%- endset -%}\n\n        to_timestamp(\n            to_unix_timestamp(\n                add_months(\n                    {{ spark_utils.assert_not_null('date', from_date_or_timestamp) }},\n                    cast({{interval}} * {{multiplier}} as int)\n                )\n            ) + {{clock_component}}\n        )\n\n    {%- elif datepart in ('hour', 'minute', 'second', 'millisecond', 'microsecond') -%}\n    \n        {%- set multiplier -%} \n            {%- if datepart == 'hour' -%} 3600\n            {%- elif datepart == 'minute' -%} 60\n            {%- elif datepart == 'second' -%} 1\n            {%- elif datepart == 'millisecond' -%} (1/1000000)\n            {%- elif datepart == 'microsecond' -%} (1/1000000)\n            {%- endif -%}\n        {%- endset -%}\n\n        to_timestamp(\n            {{ spark_utils.assert_not_null('to_unix_timestamp', from_date_or_timestamp) }}\n            + cast({{interval}} * {{multiplier}} as int)\n        )\n\n    {%- else -%}\n\n        {{ exceptions.raise_compiler_error(\"macro dateadd not implemented for datepart ~ '\" ~ datepart ~ \"' ~ on Spark\") }}\n\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.63006, "supported_languages": null}, "macro.spark_utils.spark__datediff": {"name": "spark__datediff", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/datediff.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/datediff.sql", "unique_id": "macro.spark_utils.spark__datediff", "macro_sql": "{% macro spark__datediff(first_date, second_date, datepart) %}\n\n    {%- if datepart in ['day', 'week', 'month', 'quarter', 'year'] -%}\n    \n        {# make sure the dates are real, otherwise raise an error asap #}\n        {% set first_date = spark_utils.assert_not_null('date', first_date) %}\n        {% set second_date = spark_utils.assert_not_null('date', second_date) %}\n    \n    {%- endif -%}\n    \n    {%- if datepart == 'day' -%}\n    \n        datediff({{second_date}}, {{first_date}})\n    \n    {%- elif datepart == 'week' -%}\n    \n        case when {{first_date}} < {{second_date}}\n            then floor(datediff({{second_date}}, {{first_date}})/7)\n            else ceil(datediff({{second_date}}, {{first_date}})/7)\n            end\n        \n        -- did we cross a week boundary (Sunday)?\n        + case\n            when {{first_date}} < {{second_date}} and dayofweek({{second_date}}) < dayofweek({{first_date}}) then 1\n            when {{first_date}} > {{second_date}} and dayofweek({{second_date}}) > dayofweek({{first_date}}) then -1\n            else 0 end\n\n    {%- elif datepart == 'month' -%}\n\n        case when {{first_date}} < {{second_date}}\n            then floor(months_between(date({{second_date}}), date({{first_date}})))\n            else ceil(months_between(date({{second_date}}), date({{first_date}})))\n            end\n        \n        -- did we cross a month boundary?\n        + case\n            when {{first_date}} < {{second_date}} and dayofmonth({{second_date}}) < dayofmonth({{first_date}}) then 1\n            when {{first_date}} > {{second_date}} and dayofmonth({{second_date}}) > dayofmonth({{first_date}}) then -1\n            else 0 end\n        \n    {%- elif datepart == 'quarter' -%}\n    \n        case when {{first_date}} < {{second_date}}\n            then floor(months_between(date({{second_date}}), date({{first_date}}))/3)\n            else ceil(months_between(date({{second_date}}), date({{first_date}}))/3)\n            end\n        \n        -- did we cross a quarter boundary?\n        + case\n            when {{first_date}} < {{second_date}} and (\n                (dayofyear({{second_date}}) - (quarter({{second_date}}) * 365/4))\n                < (dayofyear({{first_date}}) - (quarter({{first_date}}) * 365/4))\n            ) then 1\n            when {{first_date}} > {{second_date}} and (\n                (dayofyear({{second_date}}) - (quarter({{second_date}}) * 365/4))\n                > (dayofyear({{first_date}}) - (quarter({{first_date}}) * 365/4))\n            ) then -1\n            else 0 end\n\n    {%- elif datepart == 'year' -%}\n    \n        year({{second_date}}) - year({{first_date}})\n\n    {%- elif datepart in ('hour', 'minute', 'second', 'millisecond', 'microsecond') -%}\n    \n        {%- set divisor -%} \n            {%- if datepart == 'hour' -%} 3600\n            {%- elif datepart == 'minute' -%} 60\n            {%- elif datepart == 'second' -%} 1\n            {%- elif datepart == 'millisecond' -%} (1/1000)\n            {%- elif datepart == 'microsecond' -%} (1/1000000)\n            {%- endif -%}\n        {%- endset -%}\n\n        case when {{first_date}} < {{second_date}}\n            then ceil((\n                {# make sure the timestamps are real, otherwise raise an error asap #}\n                {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', second_date)) }}\n                - {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', first_date)) }}\n            ) / {{divisor}})\n            else floor((\n                {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', second_date)) }}\n                - {{ spark_utils.assert_not_null('to_unix_timestamp', spark_utils.assert_not_null('to_timestamp', first_date)) }}\n            ) / {{divisor}})\n            end\n            \n            {% if datepart == 'millisecond' %}\n                + cast(date_format({{second_date}}, 'SSS') as int)\n                - cast(date_format({{first_date}}, 'SSS') as int)\n            {% endif %}\n            \n            {% if datepart == 'microsecond' %}    \n                {% set capture_str = '[0-9]{4}-[0-9]{2}-[0-9]{2}.[0-9]{2}:[0-9]{2}:[0-9]{2}.([0-9]{6})' %}\n                -- Spark doesn't really support microseconds, so this is a massive hack!\n                -- It will only work if the timestamp-string is of the format\n                -- 'yyyy-MM-dd-HH mm.ss.SSSSSS'\n                + cast(regexp_extract({{second_date}}, '{{capture_str}}', 1) as int)\n                - cast(regexp_extract({{first_date}}, '{{capture_str}}', 1) as int)    \n            {% endif %}\n\n    {%- else -%}\n\n        {{ exceptions.raise_compiler_error(\"macro datediff not implemented for datepart ~ '\" ~ datepart ~ \"' ~ on Spark\") }}\n\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.638162, "supported_languages": null}, "macro.spark_utils.spark__current_timestamp": {"name": "spark__current_timestamp", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "unique_id": "macro.spark_utils.spark__current_timestamp", "macro_sql": "{% macro spark__current_timestamp() %}\n    current_timestamp()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.638309, "supported_languages": null}, "macro.spark_utils.spark__current_timestamp_in_utc": {"name": "spark__current_timestamp_in_utc", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/current_timestamp.sql", "unique_id": "macro.spark_utils.spark__current_timestamp_in_utc", "macro_sql": "{% macro spark__current_timestamp_in_utc() %}\n    unix_timestamp()\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.638388, "supported_languages": null}, "macro.spark_utils.spark__split_part": {"name": "spark__split_part", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/cross_db_utils/split_part.sql", "original_file_path": "macros/dbt_utils/cross_db_utils/split_part.sql", "unique_id": "macro.spark_utils.spark__split_part", "macro_sql": "{% macro spark__split_part(string_text, delimiter_text, part_number) %}\n\n    {% set delimiter_expr %}\n    \n        -- escape if starts with a special character\n        case when regexp_extract({{ delimiter_text }}, '([^A-Za-z0-9])(.*)', 1) != '_'\n            then concat('\\\\', {{ delimiter_text }})\n            else {{ delimiter_text }} end\n    \n    {% endset %}\n\n    {% set split_part_expr %}\n    \n    split(\n        {{ string_text }},\n        {{ delimiter_expr }}\n        )[({{ part_number - 1 }})]\n    \n    {% endset %}\n    \n    {{ return(split_part_expr) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.638985, "supported_languages": null}, "macro.spark_utils.spark__get_relations_by_pattern": {"name": "spark__get_relations_by_pattern", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_relations_by_pattern", "macro_sql": "{% macro spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n    {%- call statement('get_tables', fetch_result=True) %}\n\n        show table extended in {{ schema_pattern }} like '{{ table_pattern }}'\n\n    {%- endcall -%}\n\n    {%- set table_list = load_result('get_tables') -%}\n\n    {%- if table_list and table_list['table'] -%}\n    {%- set tbl_relations = [] -%}\n    {%- for row in table_list['table'] -%}\n        {%- set tbl_relation = api.Relation.create(\n            database=None,\n            schema=row[0],\n            identifier=row[1],\n            type=('view' if 'Type: VIEW' in row[3] else 'table')\n        ) -%}\n        {%- do tbl_relations.append(tbl_relation) -%}\n    {%- endfor -%}\n\n    {{ return(tbl_relations) }}\n    {%- else -%}\n    {{ return([]) }}\n    {%- endif -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6406279, "supported_languages": null}, "macro.spark_utils.spark__get_relations_by_prefix": {"name": "spark__get_relations_by_prefix", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_relations_by_prefix", "macro_sql": "{% macro spark__get_relations_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {% set table_pattern = table_pattern ~ '*' %}\n    {{ return(spark_utils.spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6409879, "supported_languages": null}, "macro.spark_utils.spark__get_tables_by_pattern": {"name": "spark__get_tables_by_pattern", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_tables_by_pattern", "macro_sql": "{% macro spark__get_tables_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(spark_utils.spark__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.64128, "supported_languages": null}, "macro.spark_utils.spark__get_tables_by_prefix": {"name": "spark__get_tables_by_prefix", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "original_file_path": "macros/dbt_utils/sql/get_relations_by_prefix.sql", "unique_id": "macro.spark_utils.spark__get_tables_by_prefix", "macro_sql": "{% macro spark__get_tables_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database) %}\n    {{ return(spark_utils.spark__get_relations_by_prefix(schema_pattern, table_pattern, exclude='', database=target.database)) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.spark_utils.spark__get_relations_by_prefix"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.641578, "supported_languages": null}, "macro.spark_utils.assert_not_null": {"name": "assert_not_null", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/etc/assert_not_null.sql", "original_file_path": "macros/etc/assert_not_null.sql", "unique_id": "macro.spark_utils.assert_not_null", "macro_sql": "{% macro assert_not_null(function, arg) -%}\n  {{ return(adapter.dispatch('assert_not_null', 'spark_utils')(function, arg)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.spark_utils.default__assert_not_null"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6419148, "supported_languages": null}, "macro.spark_utils.default__assert_not_null": {"name": "default__assert_not_null", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/etc/assert_not_null.sql", "original_file_path": "macros/etc/assert_not_null.sql", "unique_id": "macro.spark_utils.default__assert_not_null", "macro_sql": "{% macro default__assert_not_null(function, arg) %}\n\n    coalesce({{function}}({{arg}}), nvl2({{function}}({{arg}}), assert_true({{function}}({{arg}}) is not null), null))\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.642126, "supported_languages": null}, "macro.spark_utils.spark__convert_timezone": {"name": "spark__convert_timezone", "resource_type": "macro", "package_name": "spark_utils", "path": "macros/snowplow/convert_timezone.sql", "original_file_path": "macros/snowplow/convert_timezone.sql", "unique_id": "macro.spark_utils.spark__convert_timezone", "macro_sql": "{% macro spark__convert_timezone(in_tz, out_tz, in_timestamp) %}\n    from_utc_timestamp(to_utc_timestamp({{in_timestamp}}, {{in_tz}}), {{out_tz}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.642333, "supported_languages": null}, "macro.fivetran_utils.enabled_vars": {"name": "enabled_vars", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/enabled_vars.sql", "original_file_path": "macros/enabled_vars.sql", "unique_id": "macro.fivetran_utils.enabled_vars", "macro_sql": "{% macro enabled_vars(vars) %}\n\n{% for v in vars %}\n    \n    {% if var(v, True) == False %}\n    {{ return(False) }}\n    {% endif %}\n\n{% endfor %}\n\n{{ return(True) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6427531, "supported_languages": null}, "macro.fivetran_utils.percentile": {"name": "percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.percentile", "macro_sql": "{% macro percentile(percentile_field, partition_field, percent) -%}\n\n{{ adapter.dispatch('percentile', 'fivetran_utils') (percentile_field, partition_field, percent) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__percentile"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.643861, "supported_languages": null}, "macro.fivetran_utils.default__percentile": {"name": "default__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.default__percentile", "macro_sql": "{% macro default__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n        over ( partition by {{ partition_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.644046, "supported_languages": null}, "macro.fivetran_utils.redshift__percentile": {"name": "redshift__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.redshift__percentile", "macro_sql": "{% macro redshift__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n        over ( partition by {{ partition_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.644235, "supported_languages": null}, "macro.fivetran_utils.bigquery__percentile": {"name": "bigquery__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.bigquery__percentile", "macro_sql": "{% macro bigquery__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percentile_field }}, \n        {{ percent }}) \n        over (partition by {{ partition_field }}    \n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.644413, "supported_languages": null}, "macro.fivetran_utils.postgres__percentile": {"name": "postgres__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.postgres__percentile", "macro_sql": "{% macro postgres__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile_cont( \n        {{ percent }} )\n        within group ( order by {{ percentile_field }} )\n    /* have to group by partition field */\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.644568, "supported_languages": null}, "macro.fivetran_utils.spark__percentile": {"name": "spark__percentile", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/percentile.sql", "original_file_path": "macros/percentile.sql", "unique_id": "macro.fivetran_utils.spark__percentile", "macro_sql": "{% macro spark__percentile(percentile_field, partition_field, percent)  %}\n\n    percentile( \n        {{ percentile_field }}, \n        {{ percent }}) \n        over (partition by {{ partition_field }}    \n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6447449, "supported_languages": null}, "macro.fivetran_utils.pivot_json_extract": {"name": "pivot_json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/pivot_json_extract.sql", "original_file_path": "macros/pivot_json_extract.sql", "unique_id": "macro.fivetran_utils.pivot_json_extract", "macro_sql": "{% macro pivot_json_extract(string, list_of_properties) %}\n\n{%- for property in list_of_properties -%}\n{%- if property is mapping -%}\nreplace( {{ fivetran_utils.json_extract(string, property.name) }}, '\"', '') as {{ property.alias if property.alias else property.name | replace(' ', '_') | replace('.', '_') | lower }}\n\n{%- else -%}\nreplace( {{ fivetran_utils.json_extract(string, property) }}, '\"', '') as {{ property | replace(' ', '_') | lower }}\n\n{%- endif -%}\n{%- if not loop.last -%},{%- endif %}\n{% endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.json_extract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.645704, "supported_languages": null}, "macro.fivetran_utils.persist_pass_through_columns": {"name": "persist_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/persist_pass_through_columns.sql", "original_file_path": "macros/persist_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.persist_pass_through_columns", "macro_sql": "{% macro persist_pass_through_columns(pass_through_variable, identifier=none, transform='') %}\n\n{% if var(pass_through_variable, none) %}\n    {% for field in var(pass_through_variable) %}\n        , {{ transform ~ '(' ~ (identifier ~ '.' if identifier else '') ~ (field.alias if field.alias else field.name) ~ ')' }} as {{ field.alias if field.alias else field.name }}\n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.646422, "supported_languages": null}, "macro.fivetran_utils.json_parse": {"name": "json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.json_parse", "macro_sql": "{% macro json_parse(string, string_path) -%}\n\n{{ adapter.dispatch('json_parse', 'fivetran_utils') (string, string_path) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__json_parse"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6478589, "supported_languages": null}, "macro.fivetran_utils.default__json_parse": {"name": "default__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.default__json_parse", "macro_sql": "{% macro default__json_parse(string, string_path) %}\n\n  json_extract_path_text({{string}}, {%- for s in string_path -%}'{{ s }}'{%- if not loop.last -%},{%- endif -%}{%- endfor -%} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.648119, "supported_languages": null}, "macro.fivetran_utils.redshift__json_parse": {"name": "redshift__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.redshift__json_parse", "macro_sql": "{% macro redshift__json_parse(string, string_path) %}\n\n  json_extract_path_text({{string}}, {%- for s in string_path -%}'{{ s }}'{%- if not loop.last -%},{%- endif -%}{%- endfor -%} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6483781, "supported_languages": null}, "macro.fivetran_utils.bigquery__json_parse": {"name": "bigquery__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.bigquery__json_parse", "macro_sql": "{% macro bigquery__json_parse(string, string_path) %}\n\n \n  json_extract_scalar({{string}}, '$.{%- for s in string_path -%}{{ s }}{%- if not loop.last -%}.{%- endif -%}{%- endfor -%} ')\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.648625, "supported_languages": null}, "macro.fivetran_utils.postgres__json_parse": {"name": "postgres__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.postgres__json_parse", "macro_sql": "{% macro postgres__json_parse(string, string_path) %}\n\n  {{string}}::json #>> '{ {%- for s in string_path -%}{{ s }}{%- if not loop.last -%},{%- endif -%}{%- endfor -%} }'\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.648878, "supported_languages": null}, "macro.fivetran_utils.snowflake__json_parse": {"name": "snowflake__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.snowflake__json_parse", "macro_sql": "{% macro snowflake__json_parse(string, string_path) %}\n\n  parse_json( {{string}} ) {%- for s in string_path -%}{% if s is number %}[{{ s }}]{% else %}['{{ s }}']{% endif %}{%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.649156, "supported_languages": null}, "macro.fivetran_utils.spark__json_parse": {"name": "spark__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.spark__json_parse", "macro_sql": "{% macro spark__json_parse(string, string_path) %}\n\n  {{string}} : {%- for s in string_path -%}{% if s is number %}[{{ s }}]{% else %}['{{ s }}']{% endif %}{%- endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6494322, "supported_languages": null}, "macro.fivetran_utils.sqlserver__json_parse": {"name": "sqlserver__json_parse", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_parse.sql", "original_file_path": "macros/json_parse.sql", "unique_id": "macro.fivetran_utils.sqlserver__json_parse", "macro_sql": "{% macro sqlserver__json_parse(string, string_path) %}\n\n  json_value({{string}}, '$.{%- for s in string_path -%}{{ s }}{%- if not loop.last -%}.{%- endif -%}{%- endfor -%} ')\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6496792, "supported_languages": null}, "macro.fivetran_utils.max_bool": {"name": "max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.max_bool", "macro_sql": "{% macro max_bool(boolean_field) -%}\n\n{{ adapter.dispatch('max_bool', 'fivetran_utils') (boolean_field) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__max_bool"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.650013, "supported_languages": null}, "macro.fivetran_utils.default__max_bool": {"name": "default__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.default__max_bool", "macro_sql": "{% macro default__max_bool(boolean_field)  %}\n\n    bool_or( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.650121, "supported_languages": null}, "macro.fivetran_utils.snowflake__max_bool": {"name": "snowflake__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.snowflake__max_bool", "macro_sql": "{% macro snowflake__max_bool(boolean_field)  %}\n\n    max( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.650228, "supported_languages": null}, "macro.fivetran_utils.bigquery__max_bool": {"name": "bigquery__max_bool", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/max_bool.sql", "original_file_path": "macros/max_bool.sql", "unique_id": "macro.fivetran_utils.bigquery__max_bool", "macro_sql": "{% macro bigquery__max_bool(boolean_field)  %}\n\n    max( {{ boolean_field }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.650354, "supported_languages": null}, "macro.fivetran_utils.calculated_fields": {"name": "calculated_fields", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/calculated_fields.sql", "original_file_path": "macros/calculated_fields.sql", "unique_id": "macro.fivetran_utils.calculated_fields", "macro_sql": "{% macro calculated_fields(variable) -%}\n\n{% if var(variable, none) %}\n    {% for field in var(variable) %}\n        , {{ field.transform_sql }} as {{ field.name }} \n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6507368, "supported_languages": null}, "macro.fivetran_utils.drop_schemas_automation": {"name": "drop_schemas_automation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/drop_schemas_automation.sql", "original_file_path": "macros/drop_schemas_automation.sql", "unique_id": "macro.fivetran_utils.drop_schemas_automation", "macro_sql": "{% macro drop_schemas_automation(drop_target_schema=true) %}\n    {{ return(adapter.dispatch('drop_schemas_automation', 'fivetran_utils')(drop_target_schema)) }}\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__drop_schemas_automation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.651447, "supported_languages": null}, "macro.fivetran_utils.default__drop_schemas_automation": {"name": "default__drop_schemas_automation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/drop_schemas_automation.sql", "original_file_path": "macros/drop_schemas_automation.sql", "unique_id": "macro.fivetran_utils.default__drop_schemas_automation", "macro_sql": "{% macro default__drop_schemas_automation(drop_target_schema=true) %}\n\n{% set fetch_list_sql %}\n    {% if target.type not in ('databricks', 'spark') %}\n        select schema_name\n        from \n        {{ wrap_in_quotes(target.database) }}.INFORMATION_SCHEMA.SCHEMATA\n        where lower(schema_name) like '{{ target.schema | lower }}{%- if not drop_target_schema -%}_{%- endif -%}%'\n    {% else %}\n        SHOW SCHEMAS LIKE '{{ target.schema }}{%- if not drop_target_schema -%}_{%- endif -%}*'\n    {% endif %}\n{% endset %}\n\n{% set results = run_query(fetch_list_sql) %}\n\n{% if execute %}\n    {% set results_list = results.columns[0].values() %}\n{% else %}\n    {% set results_list = [] %}\n{% endif %}\n\n{% for schema_to_drop in results_list %}\n    {% do adapter.drop_schema(api.Relation.create(database=target.database, schema=schema_to_drop)) %}\n    {{ print('Schema ' ~ schema_to_drop ~ ' successfully dropped from the ' ~ target.database ~ ' database.\\n')}}\n{% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.wrap_in_quotes", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.652572, "supported_languages": null}, "macro.fivetran_utils.seed_data_helper": {"name": "seed_data_helper", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/seed_data_helper.sql", "original_file_path": "macros/seed_data_helper.sql", "unique_id": "macro.fivetran_utils.seed_data_helper", "macro_sql": "{% macro seed_data_helper(seed_name, warehouses) %}\n\n{% if target.type in warehouses %}\n    {% for w in warehouses %}\n        {% if target.type == w %}\n            {{ return(ref(seed_name ~ \"_\" ~ w ~ \"\")) }}\n        {% endif %}\n    {% endfor %}\n{% else %}\n{{ return(ref(seed_name)) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.653195, "supported_languages": null}, "macro.fivetran_utils.fill_pass_through_columns": {"name": "fill_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_pass_through_columns.sql", "original_file_path": "macros/fill_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.fill_pass_through_columns", "macro_sql": "{% macro fill_pass_through_columns(pass_through_variable) %}\n\n{% if var(pass_through_variable) %}\n    {% for field in var(pass_through_variable) %}\n        {% if field is mapping %}\n            {% if field.transform_sql %}\n                , {{ field.transform_sql }} as {{ field.alias if field.alias else field.name }}\n            {% else %}\n                , {{ field.alias if field.alias else field.name }}\n            {% endif %}\n        {% else %}\n        , {{ field }}\n        {% endif %}\n    {% endfor %}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.654027, "supported_languages": null}, "macro.fivetran_utils.string_agg": {"name": "string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.string_agg", "macro_sql": "{% macro string_agg(field_to_agg, delimiter) -%}\n\n{{ adapter.dispatch('string_agg', 'fivetran_utils') (field_to_agg, delimiter) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__string_agg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.654508, "supported_languages": null}, "macro.fivetran_utils.default__string_agg": {"name": "default__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.default__string_agg", "macro_sql": "{% macro default__string_agg(field_to_agg, delimiter) %}\n    string_agg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.654647, "supported_languages": null}, "macro.fivetran_utils.snowflake__string_agg": {"name": "snowflake__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.snowflake__string_agg", "macro_sql": "{% macro snowflake__string_agg(field_to_agg, delimiter) %}\n    listagg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.654785, "supported_languages": null}, "macro.fivetran_utils.redshift__string_agg": {"name": "redshift__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.redshift__string_agg", "macro_sql": "{% macro redshift__string_agg(field_to_agg, delimiter) %}\n    listagg({{ field_to_agg }}, {{ delimiter }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.654921, "supported_languages": null}, "macro.fivetran_utils.spark__string_agg": {"name": "spark__string_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/string_agg.sql", "original_file_path": "macros/string_agg.sql", "unique_id": "macro.fivetran_utils.spark__string_agg", "macro_sql": "{% macro spark__string_agg(field_to_agg, delimiter) %}\n    -- collect set will remove duplicates\n    replace(replace(replace(cast( collect_set({{ field_to_agg }}) as string), '[', ''), ']', ''), ', ', {{ delimiter }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.655061, "supported_languages": null}, "macro.fivetran_utils.timestamp_diff": {"name": "timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.timestamp_diff", "macro_sql": "{% macro timestamp_diff(first_date, second_date, datepart) %}\n  {{ adapter.dispatch('timestamp_diff', 'fivetran_utils')(first_date, second_date, datepart) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__timestamp_diff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.658101, "supported_languages": null}, "macro.fivetran_utils.default__timestamp_diff": {"name": "default__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.default__timestamp_diff", "macro_sql": "{% macro default__timestamp_diff(first_date, second_date, datepart) %}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.658271, "supported_languages": null}, "macro.fivetran_utils.redshift__timestamp_diff": {"name": "redshift__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.redshift__timestamp_diff", "macro_sql": "{% macro redshift__timestamp_diff(first_date, second_date, datepart) %}\n\n    datediff(\n        {{ datepart }},\n        {{ first_date }},\n        {{ second_date }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.658441, "supported_languages": null}, "macro.fivetran_utils.bigquery__timestamp_diff": {"name": "bigquery__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.bigquery__timestamp_diff", "macro_sql": "{% macro bigquery__timestamp_diff(first_date, second_date, datepart) %}\n\n    timestamp_diff(\n        {{second_date}},\n        {{first_date}},\n        {{datepart}}\n    )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.658602, "supported_languages": null}, "macro.fivetran_utils.postgres__timestamp_diff": {"name": "postgres__timestamp_diff", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_diff.sql", "original_file_path": "macros/timestamp_diff.sql", "unique_id": "macro.fivetran_utils.postgres__timestamp_diff", "macro_sql": "{% macro postgres__timestamp_diff(first_date, second_date, datepart) %}\n\n    {% if datepart == 'year' %}\n        (date_part('year', ({{second_date}})::date) - date_part('year', ({{first_date}})::date))\n    {% elif datepart == 'quarter' %}\n        ({{ dbt.datediff(first_date, second_date, 'year') }} * 4 + date_part('quarter', ({{second_date}})::date) - date_part('quarter', ({{first_date}})::date))\n    {% elif datepart == 'month' %}\n        ({{ dbt.datediff(first_date, second_date, 'year') }} * 12 + date_part('month', ({{second_date}})::date) - date_part('month', ({{first_date}})::date))\n    {% elif datepart == 'day' %}\n        (({{second_date}})::date - ({{first_date}})::date)\n    {% elif datepart == 'week' %}\n        ({{ dbt.datediff(first_date, second_date, 'day') }} / 7 + case\n            when date_part('dow', ({{first_date}})::timestamp) <= date_part('dow', ({{second_date}})::timestamp) then\n                case when {{first_date}} <= {{second_date}} then 0 else -1 end\n            else\n                case when {{first_date}} <= {{second_date}} then 1 else 0 end\n        end)\n    {% elif datepart == 'hour' %}\n        ({{ dbt.datediff(first_date, second_date, 'day') }} * 24 + date_part('hour', ({{second_date}})::timestamp) - date_part('hour', ({{first_date}})::timestamp))\n    {% elif datepart == 'minute' %}\n        ({{ dbt.datediff(first_date, second_date, 'hour') }} * 60 + date_part('minute', ({{second_date}})::timestamp) - date_part('minute', ({{first_date}})::timestamp))\n    {% elif datepart == 'second' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60 + floor(date_part('second', ({{second_date}})::timestamp)) - floor(date_part('second', ({{first_date}})::timestamp)))\n    {% elif datepart == 'millisecond' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60000 + floor(date_part('millisecond', ({{second_date}})::timestamp)) - floor(date_part('millisecond', ({{first_date}})::timestamp)))\n    {% elif datepart == 'microsecond' %}\n        ({{ dbt.datediff(first_date, second_date, 'minute') }} * 60000000 + floor(date_part('microsecond', ({{second_date}})::timestamp)) - floor(date_part('microsecond', ({{first_date}})::timestamp)))\n    {% else %}\n        {{ exceptions.raise_compiler_error(\"Unsupported datepart for macro datediff in postgres: {!r}\".format(datepart)) }}\n    {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.datediff"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.660482, "supported_languages": null}, "macro.fivetran_utils.try_cast": {"name": "try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.try_cast", "macro_sql": "{% macro try_cast(field, type) %}\n    {{ adapter.dispatch('try_cast', 'fivetran_utils') (field, type) }}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__try_cast"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.661479, "supported_languages": null}, "macro.fivetran_utils.default__try_cast": {"name": "default__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.default__try_cast", "macro_sql": "{% macro default__try_cast(field, type) %}\n    {# most databases don't support this function yet\n    so we just need to use cast #}\n    cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.661624, "supported_languages": null}, "macro.fivetran_utils.redshift__try_cast": {"name": "redshift__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.redshift__try_cast", "macro_sql": "{% macro redshift__try_cast(field, type) %}\n{%- if type == 'numeric' -%}\n\n    case\n        when trim({{field}}) ~ '^(0|[1-9][0-9]*)$' then trim({{field}})\n        else null\n    end::{{type}}\n\n{% else %}\n    {{ exceptions.raise_compiler_error(\n            \"non-numeric datatypes are not currently supported\") }}\n\n{% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.661911, "supported_languages": null}, "macro.fivetran_utils.postgres__try_cast": {"name": "postgres__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.postgres__try_cast", "macro_sql": "{% macro postgres__try_cast(field, type) %}\n{%- if type == 'numeric' -%}\n\n    case\n        when replace(cast({{field}} as varchar),cast(' ' as varchar),cast('' as varchar)) ~ '^(0|[1-9][0-9]*)$' \n        then replace(cast({{field}} as varchar),cast(' ' as varchar),cast('' as varchar))\n        else null\n    end::{{type}}\n\n{% else %}\n    {{ exceptions.raise_compiler_error(\n            \"non-numeric datatypes are not currently supported\") }}\n\n{% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.662207, "supported_languages": null}, "macro.fivetran_utils.snowflake__try_cast": {"name": "snowflake__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.snowflake__try_cast", "macro_sql": "{% macro snowflake__try_cast(field, type) %}\n    try_cast(cast({{field}} as varchar) as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.662343, "supported_languages": null}, "macro.fivetran_utils.bigquery__try_cast": {"name": "bigquery__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.bigquery__try_cast", "macro_sql": "{% macro bigquery__try_cast(field, type) %}\n    safe_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.662472, "supported_languages": null}, "macro.fivetran_utils.spark__try_cast": {"name": "spark__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.spark__try_cast", "macro_sql": "{% macro spark__try_cast(field, type) %}\n    try_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.662601, "supported_languages": null}, "macro.fivetran_utils.sqlserver__try_cast": {"name": "sqlserver__try_cast", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/try_cast.sql", "original_file_path": "macros/try_cast.sql", "unique_id": "macro.fivetran_utils.sqlserver__try_cast", "macro_sql": "{% macro sqlserver__try_cast(field, type) %}\n    try_cast({{field}} as {{type}})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6627378, "supported_languages": null}, "macro.fivetran_utils.source_relation": {"name": "source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/source_relation.sql", "original_file_path": "macros/source_relation.sql", "unique_id": "macro.fivetran_utils.source_relation", "macro_sql": "{% macro source_relation(union_schema_variable='union_schemas', union_database_variable='union_databases') -%}\n\n{{ adapter.dispatch('source_relation', 'fivetran_utils') (union_schema_variable, union_database_variable) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__source_relation"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.663243, "supported_languages": null}, "macro.fivetran_utils.default__source_relation": {"name": "default__source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/source_relation.sql", "original_file_path": "macros/source_relation.sql", "unique_id": "macro.fivetran_utils.default__source_relation", "macro_sql": "{% macro default__source_relation(union_schema_variable, union_database_variable) %}\n\n{% if var(union_schema_variable, none)  %}\n, case\n    {% for schema in var(union_schema_variable) %}\n    when lower(replace(replace(_dbt_source_relation,'\"',''),'`','')) like '%.{{ schema|lower }}.%' then '{{ schema|lower }}'\n    {% endfor %}\n  end as source_relation\n{% elif var(union_database_variable, none) %}\n, case\n    {% for database in var(union_database_variable) %}\n    when lower(replace(replace(_dbt_source_relation,'\"',''),'`','')) like '%{{ database|lower }}.%' then '{{ database|lower }}'\n    {% endfor %}\n  end as source_relation\n{% else %}\n, cast('' as {{ dbt.type_string() }}) as source_relation\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6638541, "supported_languages": null}, "macro.fivetran_utils.first_value": {"name": "first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.first_value", "macro_sql": "{% macro first_value(first_value_field, partition_field, order_by_field, order=\"asc\") -%}\n\n{{ adapter.dispatch('first_value', 'fivetran_utils') (first_value_field, partition_field, order_by_field, order) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__first_value"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.66436, "supported_languages": null}, "macro.fivetran_utils.default__first_value": {"name": "default__first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.default__first_value", "macro_sql": "{% macro default__first_value(first_value_field, partition_field, order_by_field, order=\"asc\")  %}\n\n    first_value( {{ first_value_field }} ignore nulls ) over (partition by {{ partition_field }} order by {{ order_by_field }} {{ order }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.664572, "supported_languages": null}, "macro.fivetran_utils.redshift__first_value": {"name": "redshift__first_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/first_value.sql", "original_file_path": "macros/first_value.sql", "unique_id": "macro.fivetran_utils.redshift__first_value", "macro_sql": "{% macro redshift__first_value(first_value_field, partition_field, order_by_field, order=\"asc\") %}\n\n    first_value( {{ first_value_field }} ignore nulls ) over (partition by {{ partition_field }} order by {{ order_by_field }} {{ order }} , {{ partition_field }} rows unbounded preceding )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6648161, "supported_languages": null}, "macro.fivetran_utils.add_dbt_source_relation": {"name": "add_dbt_source_relation", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/add_dbt_source_relation.sql", "original_file_path": "macros/add_dbt_source_relation.sql", "unique_id": "macro.fivetran_utils.add_dbt_source_relation", "macro_sql": "{% macro add_dbt_source_relation() %}\n\n{% if var('union_schemas', none) or var('union_databases', none) %}\n, _dbt_source_relation\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.665081, "supported_languages": null}, "macro.fivetran_utils.add_pass_through_columns": {"name": "add_pass_through_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/add_pass_through_columns.sql", "original_file_path": "macros/add_pass_through_columns.sql", "unique_id": "macro.fivetran_utils.add_pass_through_columns", "macro_sql": "{% macro add_pass_through_columns(base_columns, pass_through_var) %}\n\n  {% if pass_through_var %}\n\n    {% for column in pass_through_var %}\n\n    {% if column is mapping %}\n\n      {% if column.alias %}\n\n        {% do base_columns.append({ \"name\": column.name, \"alias\": column.alias, \"datatype\": column.datatype if column.datatype else dbt.type_string()}) %}\n\n      {% else %}\n\n        {% do base_columns.append({ \"name\": column.name, \"datatype\": column.datatype if column.datatype else dbt.type_string()}) %}\n        \n      {% endif %}\n\n    {% else %}\n\n      {% do base_columns.append({ \"name\": column, \"datatype\": dbt.type_string()}) %}\n\n    {% endif %}\n\n    {% endfor %}\n\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6663082, "supported_languages": null}, "macro.fivetran_utils.union_relations": {"name": "union_relations", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_relations.sql", "original_file_path": "macros/union_relations.sql", "unique_id": "macro.fivetran_utils.union_relations", "macro_sql": "{%- macro union_relations(relations, aliases=none, column_override=none, include=[], exclude=[], source_column_name=none) -%}\n\n    {%- if exclude and include -%}\n        {{ exceptions.raise_compiler_error(\"Both an exclude and include list were provided to the `union` macro. Only one is allowed\") }}\n    {%- endif -%}\n\n    {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. -#}\n    {%- if not execute %}\n        {{ return('') }}\n    {% endif -%}\n\n    {%- set column_override = column_override if column_override is not none else {} -%}\n    {%- set source_column_name = source_column_name if source_column_name is not none else '_dbt_source_relation' -%}\n\n    {%- set relation_columns = {} -%}\n    {%- set column_superset = {} -%}\n\n    {%- for relation in relations -%}\n\n        {%- do relation_columns.update({relation: []}) -%}\n\n        {%- do dbt_utils._is_relation(relation, 'union_relations') -%}\n        {%- set cols = adapter.get_columns_in_relation(relation) -%}\n        {%- for col in cols -%}\n\n        {#- If an exclude list was provided and the column is in the list, do nothing -#}\n        {%- if exclude and col.column in exclude -%}\n\n        {#- If an include list was provided and the column is not in the list, do nothing -#}\n        {%- elif include and col.column not in include -%}\n\n        {#- Otherwise add the column to the column superset -#}\n        {%- else -%}\n\n            {#- update the list of columns in this relation -#}\n            {%- do relation_columns[relation].append(col.column) -%}\n\n            {%- if col.column in column_superset -%}\n\n                {%- set stored = column_superset[col.column] -%}\n                {%- if col.is_string() and stored.is_string() and col.string_size() > stored.string_size() -%}\n\n                    {%- do column_superset.update({col.column: col}) -%}\n\n                {%- endif %}\n\n            {%- else -%}\n\n                {%- do column_superset.update({col.column: col}) -%}\n\n            {%- endif -%}\n\n        {%- endif -%}\n\n        {%- endfor -%}\n    {%- endfor -%}\n\n    {%- set ordered_column_names = column_superset.keys() -%}\n\n    {%- for relation in relations %}\n\n        (\n            select\n\n                cast({{ dbt.string_literal(relation) }} as {{ dbt.type_string() }}) as {{ source_column_name }},\n                {% for col_name in ordered_column_names -%}\n\n                    {%- set col = column_superset[col_name] %}\n                    {%- set col_type = column_override.get(col.column, col.data_type) %}\n                    {%- set col_name = adapter.quote(col_name) if col_name in relation_columns[relation] else 'null' %}\n                    cast({{ col_name }} as {{ col_type }}) as {{ col.quoted }} {% if not loop.last %},{% endif -%}\n\n                {%- endfor %}\n\n            from {{ aliases[loop.index0] if aliases else relation }}\n        )\n\n        {% if not loop.last -%}\n            union all\n        {% endif -%}\n\n    {%- endfor -%}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt.string_literal", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.67049, "supported_languages": null}, "macro.fivetran_utils.union_tables": {"name": "union_tables", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_relations.sql", "original_file_path": "macros/union_relations.sql", "unique_id": "macro.fivetran_utils.union_tables", "macro_sql": "{%- macro union_tables(tables, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_table') -%}\n\n    {%- do exceptions.warn(\"Warning: the `union_tables` macro is no longer supported and will be deprecated in a future release of dbt-utils. Use the `union_relations` macro instead\") -%}\n\n    {{ return(dbt_utils.union_relations(tables, column_override, include, exclude, source_column_name)) }}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils.union_relations"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6708758, "supported_languages": null}, "macro.fivetran_utils.snowflake_seed_data": {"name": "snowflake_seed_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/snowflake_seed_data.sql", "original_file_path": "macros/snowflake_seed_data.sql", "unique_id": "macro.fivetran_utils.snowflake_seed_data", "macro_sql": "{% macro snowflake_seed_data(seed_name) %}\n\n{% if target.type == 'snowflake' %}\n{{ return(ref(seed_name ~ '_snowflake')) }}\n{% else %}\n{{ return(ref(seed_name)) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.671264, "supported_languages": null}, "macro.fivetran_utils.fill_staging_columns": {"name": "fill_staging_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_staging_columns.sql", "original_file_path": "macros/fill_staging_columns.sql", "unique_id": "macro.fivetran_utils.fill_staging_columns", "macro_sql": "{% macro fill_staging_columns(source_columns, staging_columns) -%}\n\n{%- set source_column_names = source_columns|map(attribute='name')|map('lower')|list -%}\n\n{%- for column in staging_columns %}\n    {% if column.name|lower in source_column_names -%}\n        {{ fivetran_utils.quote_column(column) }} as \n        {%- if 'alias' in column %} {{ column.alias }} {% else %} {{ fivetran_utils.quote_column(column) }} {%- endif -%}\n    {%- else -%}\n        cast(null as {{ column.datatype }})\n        {%- if 'alias' in column %} as {{ column.alias }} {% else %} as {{ fivetran_utils.quote_column(column) }} {% endif -%}\n    {%- endif -%}\n    {%- if not loop.last -%} , {% endif -%}\n{% endfor %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.quote_column"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.672946, "supported_languages": null}, "macro.fivetran_utils.quote_column": {"name": "quote_column", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fill_staging_columns.sql", "original_file_path": "macros/fill_staging_columns.sql", "unique_id": "macro.fivetran_utils.quote_column", "macro_sql": "{% macro quote_column(column) %}\n    {% if 'quote' in column %}\n        {% if column.quote %}\n            {% if target.type in ('bigquery', 'spark', 'databricks') %}\n            `{{ column.name }}`\n            {% elif target.type == 'snowflake' %}\n            \"{{ column.name | upper }}\"\n            {% else %}\n            \"{{ column.name }}\"\n            {% endif %}\n        {% else %}\n        {{ column.name }}\n        {% endif %}\n    {% else %}\n    {{ column.name }}\n    {% endif %}\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.673537, "supported_languages": null}, "macro.fivetran_utils.json_extract": {"name": "json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.json_extract", "macro_sql": "{% macro json_extract(string, string_path) -%}\n\n{{ adapter.dispatch('json_extract', 'fivetran_utils') (string, string_path) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__json_extract"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.67412, "supported_languages": null}, "macro.fivetran_utils.default__json_extract": {"name": "default__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.default__json_extract", "macro_sql": "{% macro default__json_extract(string, string_path) %}\n\n  json_extract_path_text({{string}}, {{ \"'\" ~ string_path ~ \"'\" }} )\n \n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.674282, "supported_languages": null}, "macro.fivetran_utils.snowflake__json_extract": {"name": "snowflake__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.snowflake__json_extract", "macro_sql": "{% macro snowflake__json_extract(string, string_path) %}\n\n  json_extract_path_text(try_parse_json( {{string}} ), {{ \"'\" ~ string_path ~ \"'\" }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.674447, "supported_languages": null}, "macro.fivetran_utils.redshift__json_extract": {"name": "redshift__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.redshift__json_extract", "macro_sql": "{% macro redshift__json_extract(string, string_path) %}\n\n  case when is_valid_json( {{string}} ) then json_extract_path_text({{string}}, {{ \"'\" ~ string_path ~ \"'\" }} ) else null end\n \n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.67463, "supported_languages": null}, "macro.fivetran_utils.bigquery__json_extract": {"name": "bigquery__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.bigquery__json_extract", "macro_sql": "{% macro bigquery__json_extract(string, string_path) %}\n\n  json_extract_scalar({{string}}, {{ \"'$.\" ~ string_path ~ \"'\" }} )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6747892, "supported_languages": null}, "macro.fivetran_utils.postgres__json_extract": {"name": "postgres__json_extract", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/json_extract.sql", "original_file_path": "macros/json_extract.sql", "unique_id": "macro.fivetran_utils.postgres__json_extract", "macro_sql": "{% macro postgres__json_extract(string, string_path) %}\n\n  {{string}}::json->>{{\"'\" ~ string_path ~ \"'\" }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6749492, "supported_languages": null}, "macro.fivetran_utils.collect_freshness": {"name": "collect_freshness", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/collect_freshness.sql", "original_file_path": "macros/collect_freshness.sql", "unique_id": "macro.fivetran_utils.collect_freshness", "macro_sql": "{% macro collect_freshness(source, loaded_at_field, filter) %}\n  {{ return(adapter.dispatch('collect_freshness')(source, loaded_at_field, filter))}}\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__collect_freshness"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6758249, "supported_languages": null}, "macro.fivetran_utils.default__collect_freshness": {"name": "default__collect_freshness", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/collect_freshness.sql", "original_file_path": "macros/collect_freshness.sql", "unique_id": "macro.fivetran_utils.default__collect_freshness", "macro_sql": "{% macro default__collect_freshness(source, loaded_at_field, filter) %}\n  {% call statement('collect_freshness', fetch_result=True, auto_begin=False) -%}\n\n  {%- set enabled_array = [] -%}\n  {% for node in graph.sources.values() %}\n    {% if node.identifier == source.identifier %}\n      {% if (node.meta['is_enabled'] | default(true)) %}\n        {%- do enabled_array.append(1) -%}\n      {% endif %}\n    {% endif %}\n  {% endfor %}\n  {% set is_enabled = (enabled_array != []) %}\n\n    select\n      {% if is_enabled %}\n      max({{ loaded_at_field }})\n      {% else %} \n      {{ current_timestamp() }} {% endif %} as max_loaded_at,\n      {{ current_timestamp() }} as snapshotted_at\n\n    {% if is_enabled %}\n    from {{ source }}\n      {% if filter %}\n      where {{ filter }}\n      {% endif %}\n    {% endif %}\n\n  {% endcall %}\n\n  {% if dbt_version.split('.') | map('int') | list >= [1, 5, 0]  %}\n    {{ return(load_result('collect_freshness')) }}\n  {% else %}\n    {{ return(load_result('collect_freshness').table) }}\n  {% endif %}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6771688, "supported_languages": null}, "macro.fivetran_utils.timestamp_add": {"name": "timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.timestamp_add", "macro_sql": "{% macro timestamp_add(datepart, interval, from_timestamp) -%}\n\n{{ adapter.dispatch('timestamp_add', 'fivetran_utils') (datepart, interval, from_timestamp) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.bigquery__timestamp_add"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6779141, "supported_languages": null}, "macro.fivetran_utils.default__timestamp_add": {"name": "default__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.default__timestamp_add", "macro_sql": "{% macro default__timestamp_add(datepart, interval, from_timestamp) %}\n\n    timestampadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6780841, "supported_languages": null}, "macro.fivetran_utils.bigquery__timestamp_add": {"name": "bigquery__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.bigquery__timestamp_add", "macro_sql": "{% macro bigquery__timestamp_add(datepart, interval, from_timestamp) %}\n\n        timestamp_add({{ from_timestamp }}, interval  {{ interval }} {{ datepart }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.678251, "supported_languages": null}, "macro.fivetran_utils.redshift__timestamp_add": {"name": "redshift__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.redshift__timestamp_add", "macro_sql": "{% macro redshift__timestamp_add(datepart, interval, from_timestamp) %}\n\n        dateadd(\n        {{ datepart }},\n        {{ interval }},\n        {{ from_timestamp }}\n        )\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.678423, "supported_languages": null}, "macro.fivetran_utils.postgres__timestamp_add": {"name": "postgres__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.postgres__timestamp_add", "macro_sql": "{% macro postgres__timestamp_add(datepart, interval, from_timestamp) %}\n\n    {{ from_timestamp }} + ((interval '1 {{ datepart }}') * ({{ interval }}))\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6785972, "supported_languages": null}, "macro.fivetran_utils.spark__timestamp_add": {"name": "spark__timestamp_add", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/timestamp_add.sql", "original_file_path": "macros/timestamp_add.sql", "unique_id": "macro.fivetran_utils.spark__timestamp_add", "macro_sql": "{% macro spark__timestamp_add(datepart, interval, from_timestamp) %}\n\n    {{ dbt.dateadd(datepart, interval, from_timestamp) }}\n        \n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.678785, "supported_languages": null}, "macro.fivetran_utils.ceiling": {"name": "ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.ceiling", "macro_sql": "{% macro ceiling(num) -%}\n\n{{ adapter.dispatch('ceiling', 'fivetran_utils') (num) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__ceiling"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.679046, "supported_languages": null}, "macro.fivetran_utils.default__ceiling": {"name": "default__ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.default__ceiling", "macro_sql": "{% macro default__ceiling(num) %}\n    ceiling({{ num }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.679151, "supported_languages": null}, "macro.fivetran_utils.snowflake__ceiling": {"name": "snowflake__ceiling", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/ceiling.sql", "original_file_path": "macros/ceiling.sql", "unique_id": "macro.fivetran_utils.snowflake__ceiling", "macro_sql": "{% macro snowflake__ceiling(num) %}\n    ceil({{ num }})\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.679252, "supported_languages": null}, "macro.fivetran_utils.remove_prefix_from_columns": {"name": "remove_prefix_from_columns", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/remove_prefix_from_columns.sql", "original_file_path": "macros/remove_prefix_from_columns.sql", "unique_id": "macro.fivetran_utils.remove_prefix_from_columns", "macro_sql": "{% macro remove_prefix_from_columns(columns, prefix='', exclude=[]) %}\n\n        {%- for col in columns if col.name not in exclude -%}\n        {%- if col.name[:prefix|length]|lower == prefix -%}\n        {{ col.name }} as {{ col.name[prefix|length:] }}\n        {%- else -%}\n        {{ col.name }}\n        {%- endif -%}\n        {%- if not loop.last -%},{%- endif %}\n        {% endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.679925, "supported_languages": null}, "macro.fivetran_utils.fivetran_date_spine": {"name": "fivetran_date_spine", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fivetran_date_spine.sql", "original_file_path": "macros/fivetran_date_spine.sql", "unique_id": "macro.fivetran_utils.fivetran_date_spine", "macro_sql": "{% macro fivetran_date_spine(datepart, start_date, end_date) -%}\n\n{{ return(adapter.dispatch('fivetran_date_spine', 'fivetran_utils') (datepart, start_date, end_date)) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__fivetran_date_spine"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.681345, "supported_languages": null}, "macro.fivetran_utils.default__fivetran_date_spine": {"name": "default__fivetran_date_spine", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fivetran_date_spine.sql", "original_file_path": "macros/fivetran_date_spine.sql", "unique_id": "macro.fivetran_utils.default__fivetran_date_spine", "macro_sql": "{% macro default__fivetran_date_spine(datepart, start_date, end_date) %}\n\n    {{ dbt_utils.date_spine(datepart, start_date, end_date) }}\n        \n{% endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.date_spine"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.681528, "supported_languages": null}, "macro.fivetran_utils.sqlserver__fivetran_date_spine": {"name": "sqlserver__fivetran_date_spine", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/fivetran_date_spine.sql", "original_file_path": "macros/fivetran_date_spine.sql", "unique_id": "macro.fivetran_utils.sqlserver__fivetran_date_spine", "macro_sql": "{% macro sqlserver__fivetran_date_spine(datepart, start_date, end_date) -%}\n\n    {% set date_spine_query %}\n        with\n\n        l0 as (\n\n            select c\n            from (select 1 union all select 1) as d(c)\n\n        ),\n        l1 as (\n\n            select\n                1 as c\n            from l0 as a\n            cross join l0 as b\n\n        ),\n\n        l2 as (\n\n            select 1 as c\n            from l1 as a\n            cross join l1 as b\n        ),\n\n        l3 as (\n\n            select 1 as c\n            from l2 as a\n            cross join l2 as b\n        ),\n\n        l4 as (\n\n            select 1 as c\n            from l3 as a\n            cross join l3 as b\n        ),\n\n        l5 as (\n\n            select 1 as c\n            from l4 as a\n            cross join l4 as b\n        ),\n\n        nums as (\n\n            select row_number() over (order by (select null)) as rownum\n            from l5\n        ),\n\n        rawdata as (\n\n            select top ({{dbt.datediff(start_date, end_date, datepart)}}) rownum -1 as n\n            from nums\n            order by rownum\n        ),\n\n        all_periods as (\n\n            select (\n                {{\n                    dbt.dateadd(\n                        datepart,\n                        'n',\n                        start_date\n                    )\n                }}\n            ) as date_{{datepart}}\n            from rawdata\n        ),\n\n        filtered as (\n\n            select *\n            from all_periods\n            where date_{{datepart}} <= {{ end_date }}\n\n        )\n\n        select * from filtered\n        order by 1\n\n    {% endset %}\n\n    {% set results = run_query(date_spine_query) %}\n\n    {% if execute %}\n\n        {% set results_list = results.columns[0].values() %}\n    \n    {% else %}\n\n        {% set results_list = [] %}\n\n    {% endif %}\n\n    {%- for date_field in results_list %}\n        select cast('{{ date_field }}' as date) as date_{{datepart}} {{ 'union all ' if not loop.last else '' }}\n    {% endfor -%}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.datediff", "macro.dbt.dateadd", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.682397, "supported_languages": null}, "macro.fivetran_utils.union_data": {"name": "union_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_data.sql", "original_file_path": "macros/union_data.sql", "unique_id": "macro.fivetran_utils.union_data", "macro_sql": "{%- macro union_data(table_identifier, database_variable, schema_variable, default_database, default_schema, default_variable, union_schema_variable='union_schemas', union_database_variable='union_databases') -%}\n\n{{ adapter.dispatch('union_data', 'fivetran_utils') (\n    table_identifier, \n    database_variable, \n    schema_variable, \n    default_database, \n    default_schema, \n    default_variable,\n    union_schema_variable,\n    union_database_variable\n    ) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.fivetran_utils.default__union_data"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.686038, "supported_languages": null}, "macro.fivetran_utils.default__union_data": {"name": "default__union_data", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/union_data.sql", "original_file_path": "macros/union_data.sql", "unique_id": "macro.fivetran_utils.default__union_data", "macro_sql": "{%- macro default__union_data(\n    table_identifier, \n    database_variable, \n    schema_variable, \n    default_database, \n    default_schema, \n    default_variable,\n    union_schema_variable,\n    union_database_variable\n    ) -%}\n\n{%- if var(union_schema_variable, none) -%}\n\n    {%- set relations = [] -%}\n    \n    {%- if var(union_schema_variable) is string -%}\n    {%- set trimmed = var(union_schema_variable)|trim('[')|trim(']') -%}\n    {%- set schemas = trimmed.split(',')|map('trim',\" \")|map('trim','\"')|map('trim',\"'\") -%}\n    {%- else -%}\n    {%- set schemas = var(union_schema_variable) -%}\n    {%- endif -%}\n\n    {%- for schema in var(union_schema_variable) -%}\n    {%- set relation=adapter.get_relation(\n        database=source(schema, table_identifier).database if var('has_defined_sources', false) else var(database_variable, default_database),\n        schema=source(schema, table_identifier).schema if var('has_defined_sources', false) else schema,\n        identifier=source(schema, table_identifier).identifier if var('has_defined_sources', false) else table_identifier\n    ) -%}\n    \n    {%- set relation_exists=relation is not none -%}\n\n    {%- if relation_exists -%}\n        {%- do relations.append(relation) -%}\n    {%- endif -%}\n\n    {%- endfor -%}\n    \n    {%- if relations != [] -%}\n        {{ dbt_utils.union_relations(relations) }}\n    {%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n    {%- endif -%}\n\n{%- elif var(union_database_variable, none) -%}\n\n    {%- set relations = [] -%}\n\n    {%- for database in var(union_database_variable) -%}\n    {%- set relation=adapter.get_relation(\n        database=source(schema, table_identifier).database if var('has_defined_sources', false) else database,\n        schema=source(schema, table_identifier).schema if var('has_defined_sources', false) else var(schema_variable, default_schema),\n        identifier=source(schema, table_identifier).identifier if var('has_defined_sources', false) else table_identifier\n    ) -%}\n\n    {%- set relation_exists=relation is not none -%}\n\n    {%- if relation_exists -%}\n        {%- do relations.append(relation) -%}\n    {%- endif -%}\n\n    {%- endfor -%}\n\n    {%- if relations != [] -%}\n        {{ dbt_utils.union_relations(relations) }}\n    {%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n    {%- endif -%}\n\n{%- else -%}\n    {% set exception_schemas = {\"linkedin_company_pages\": \"linkedin_pages\", \"instagram_business_pages\": \"instagram_business\"} %}\n    {% set relation = namespace(value=\"\") %}\n    {% if default_schema in exception_schemas.keys() %}\n        {% for corrected_schema_name in exception_schemas.items() %}   \n            {% if default_schema in corrected_schema_name %}\n                {# In order for this macro to effectively work within upstream integration tests (mainly used by the Fivetran dbt package maintainers), this identifier variable selection is required to use the macro with different identifier names. #}\n                {% set identifier_var = corrected_schema_name[1] + \"_\" + table_identifier + \"_identifier\"  %}\n                {%- set relation.value=adapter.get_relation(\n                    database=source(corrected_schema_name[1], table_identifier).database,\n                    schema=source(corrected_schema_name[1], table_identifier).schema,\n                    identifier=var(identifier_var, table_identifier)\n                ) -%}\n            {% endif %}\n        {% endfor %}\n    {% else %}\n        {# In order for this macro to effectively work within upstream integration tests (mainly used by the Fivetran dbt package maintainers), this identifier variable selection is required to use the macro with different identifier names. #}\n        {% set identifier_var = default_schema + \"_\" + table_identifier + \"_identifier\"  %}\n        {# Unfortunately the Twitter Organic identifiers were misspelled. As such, we will need to account for this in the model. This will be adjusted in the Twitter Organic package, but to ensure backwards compatibility, this needs to be included. #}\n        {% if var(identifier_var, none) is none %} \n            {% set identifier_var = default_schema + \"_\" + table_identifier + \"_identifer\"  %}\n        {% endif %}\n        {%- set relation.value=adapter.get_relation(\n            database=source(default_schema, table_identifier).database,\n            schema=source(default_schema, table_identifier).schema,\n            identifier=var(identifier_var, table_identifier)\n        ) -%}\n    {% endif %}\n{%- set table_exists=relation.value is not none -%}\n\n{%- if table_exists -%}\n    select * \n    from {{ relation.value }}\n{%- else -%}\n    {% if execute and not var('fivetran__remove_empty_table_warnings', false) -%}\n    {{ exceptions.warn(\"\\n\\nPlease be aware: The \" ~ table_identifier|upper ~ \" table was not found in your \" ~ default_schema|upper ~ \" schema(s). The Fivetran dbt package will create a completely empty \" ~ table_identifier|upper ~ \" staging model as to not break downstream transformations. To turn off these warnings, set the `fivetran__remove_empty_table_warnings` variable to TRUE (see https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source for details).\\n\") }}\n    {% endif -%}\n    select \n        cast(null as {{ dbt.type_string() }}) as _dbt_source_relation\n    limit 0\n{%- endif -%}\n{%- endif -%}\n\n{%- endmacro -%}", "depends_on": {"macros": ["macro.dbt_utils.union_relations", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.69095, "supported_languages": null}, "macro.fivetran_utils.dummy_coalesce_value": {"name": "dummy_coalesce_value", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/dummy_coalesce_value.sql", "original_file_path": "macros/dummy_coalesce_value.sql", "unique_id": "macro.fivetran_utils.dummy_coalesce_value", "macro_sql": "{% macro dummy_coalesce_value(column) %}\n\n{% set coalesce_value = {\n 'STRING': \"'DUMMY_STRING'\",\n 'BOOLEAN': 'null',\n 'INT': 999999999,\n 'FLOAT': 999999999.99,\n 'TIMESTAMP': 'cast(\"2099-12-31\" as timestamp)',\n 'DATE': 'cast(\"2099-12-31\" as date)',\n} %}\n\n{% if column.is_float() %}\n{{ return(coalesce_value['FLOAT']) }}\n\n{% elif column.is_numeric() %}\n{{ return(coalesce_value['INT']) }}\n\n{% elif column.is_string() %}\n{{ return(coalesce_value['STRING']) }}\n\n{% elif column.data_type|lower == 'boolean' %}\n{{ return(coalesce_value['BOOLEAN']) }}\n\n{% elif 'timestamp' in column.data_type|lower %}\n{{ return(coalesce_value['TIMESTAMP']) }}\n\n{% elif 'date' in column.data_type|lower %}\n{{ return(coalesce_value['DATE']) }}\n\n{% elif 'int' in column.data_type|lower %}\n{{ return(coalesce_value['INT']) }}\n\n{% endif %}\n\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6924438, "supported_languages": null}, "macro.fivetran_utils.extract_url_parameter": {"name": "extract_url_parameter", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/extract_url_parameter.sql", "original_file_path": "macros/extract_url_parameter.sql", "unique_id": "macro.fivetran_utils.extract_url_parameter", "macro_sql": "{% macro extract_url_parameter(field, url_parameter) -%}\n\n{{ adapter.dispatch('extract_url_parameter', 'fivetran_utils') (field, url_parameter) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__extract_url_parameter"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.692794, "supported_languages": null}, "macro.fivetran_utils.default__extract_url_parameter": {"name": "default__extract_url_parameter", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/extract_url_parameter.sql", "original_file_path": "macros/extract_url_parameter.sql", "unique_id": "macro.fivetran_utils.default__extract_url_parameter", "macro_sql": "{% macro default__extract_url_parameter(field, url_parameter) -%}\n\n{{ dbt_utils.get_url_parameter(field, url_parameter) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.dbt_utils.get_url_parameter"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6929522, "supported_languages": null}, "macro.fivetran_utils.spark__extract_url_parameter": {"name": "spark__extract_url_parameter", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/extract_url_parameter.sql", "original_file_path": "macros/extract_url_parameter.sql", "unique_id": "macro.fivetran_utils.spark__extract_url_parameter", "macro_sql": "{% macro spark__extract_url_parameter(field, url_parameter) -%}\n\n{%- set formatted_url_parameter = \"'\" + url_parameter + \"=([^&]+)'\" -%}\nnullif(regexp_extract({{ field }}, {{ formatted_url_parameter }}, 1), '')\n\n{%- endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6931572, "supported_languages": null}, "macro.fivetran_utils.wrap_in_quotes": {"name": "wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.wrap_in_quotes", "macro_sql": "{%- macro wrap_in_quotes(object_to_quote) -%}\n\n{{ return(adapter.dispatch('wrap_in_quotes', 'fivetran_utils')(object_to_quote)) }}\n\n{%- endmacro -%}\n\n", "depends_on": {"macros": ["macro.fivetran_utils.default__wrap_in_quotes"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.693507, "supported_languages": null}, "macro.fivetran_utils.default__wrap_in_quotes": {"name": "default__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.default__wrap_in_quotes", "macro_sql": "{%- macro default__wrap_in_quotes(object_to_quote)  -%}\n{# bigquery, spark, databricks #}\n    `{{ object_to_quote }}`\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.693624, "supported_languages": null}, "macro.fivetran_utils.snowflake__wrap_in_quotes": {"name": "snowflake__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.snowflake__wrap_in_quotes", "macro_sql": "{%- macro snowflake__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote | upper }}\"\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6937401, "supported_languages": null}, "macro.fivetran_utils.redshift__wrap_in_quotes": {"name": "redshift__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.redshift__wrap_in_quotes", "macro_sql": "{%- macro redshift__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote }}\"\n{%- endmacro -%}\n\n", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.693843, "supported_languages": null}, "macro.fivetran_utils.postgres__wrap_in_quotes": {"name": "postgres__wrap_in_quotes", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/wrap_in_quotes.sql", "original_file_path": "macros/wrap_in_quotes.sql", "unique_id": "macro.fivetran_utils.postgres__wrap_in_quotes", "macro_sql": "{%- macro postgres__wrap_in_quotes(object_to_quote)  -%}\n    \"{{ object_to_quote }}\"\n{%- endmacro -%}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.693944, "supported_languages": null}, "macro.fivetran_utils.array_agg": {"name": "array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.array_agg", "macro_sql": "{% macro array_agg(field_to_agg) -%}\n\n{{ adapter.dispatch('array_agg', 'fivetran_utils') (field_to_agg) }}\n\n{%- endmacro %}", "depends_on": {"macros": ["macro.fivetran_utils.default__array_agg"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.694209, "supported_languages": null}, "macro.fivetran_utils.default__array_agg": {"name": "default__array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.default__array_agg", "macro_sql": "{% macro default__array_agg(field_to_agg) %}\n    array_agg({{ field_to_agg }})\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.694319, "supported_languages": null}, "macro.fivetran_utils.redshift__array_agg": {"name": "redshift__array_agg", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/array_agg.sql", "original_file_path": "macros/array_agg.sql", "unique_id": "macro.fivetran_utils.redshift__array_agg", "macro_sql": "{% macro redshift__array_agg(field_to_agg) %}\n    listagg({{ field_to_agg }}, ',')\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6944242, "supported_languages": null}, "macro.fivetran_utils.empty_variable_warning": {"name": "empty_variable_warning", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/empty_variable_warning.sql", "original_file_path": "macros/empty_variable_warning.sql", "unique_id": "macro.fivetran_utils.empty_variable_warning", "macro_sql": "{% macro empty_variable_warning(variable, downstream_model) %}\n\n{% if not var(variable) %}\n{{ log(\n    \"\"\"\n    Warning: You have passed an empty list to the \"\"\" ~ variable ~ \"\"\".\n    As a result, you won't see the history of any columns in the \"\"\" ~ downstream_model ~ \"\"\" model.\n    \"\"\",\n    info=True\n) }}\n{% endif %}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.69484, "supported_languages": null}, "macro.fivetran_utils.enabled_vars_one_true": {"name": "enabled_vars_one_true", "resource_type": "macro", "package_name": "fivetran_utils", "path": "macros/enabled_vars_one_true.sql", "original_file_path": "macros/enabled_vars_one_true.sql", "unique_id": "macro.fivetran_utils.enabled_vars_one_true", "macro_sql": "{% macro enabled_vars_one_true(vars) %}\n\n{% for v in vars %}\n    \n    {% if var(v, False) == True %}\n    {{ return(True) }}\n    {% endif %}\n\n{% endfor %}\n\n{{ return(False) }}\n\n{% endmacro %}", "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6952472, "supported_languages": null}, "macro.qualtrics_source.get_survey_embedded_data_columns": {"name": "get_survey_embedded_data_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_survey_embedded_data_columns.sql", "original_file_path": "macros/get_survey_embedded_data_columns.sql", "unique_id": "macro.qualtrics_source.get_survey_embedded_data_columns", "macro_sql": "{% macro get_survey_embedded_data_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"import_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"key\", \"datatype\": dbt.type_string()},\n    {\"name\": \"response_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"value\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.695971, "supported_languages": null}, "macro.qualtrics_source.get_block_columns": {"name": "get_block_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_block_columns.sql", "original_file_path": "macros/get_block_columns.sql", "unique_id": "macro.qualtrics_source.get_block_columns", "macro_sql": "{% macro get_block_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"block_locking\", \"datatype\": dbt.type_string()},\n    {\"name\": \"block_visibility\", \"datatype\": dbt.type_string()},\n    {\"name\": \"description\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"randomize_questions\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"type\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.6971772, "supported_languages": null}, "macro.qualtrics_source.get_sub_question_columns": {"name": "get_sub_question_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_sub_question_columns.sql", "original_file_path": "macros/get_sub_question_columns.sql", "unique_id": "macro.qualtrics_source.get_sub_question_columns", "macro_sql": "{% macro get_sub_question_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"choice_data_export_tag\", \"datatype\": dbt.type_string()},\n    {\"name\": \"key\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"text\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.698069, "supported_languages": null}, "macro.qualtrics_source.get_directory_mailing_list_columns": {"name": "get_directory_mailing_list_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_directory_mailing_list_columns.sql", "original_file_path": "macros/get_directory_mailing_list_columns.sql", "unique_id": "macro.qualtrics_source.get_directory_mailing_list_columns", "macro_sql": "{% macro get_directory_mailing_list_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"creation_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"directory_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_modified_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"owner_id\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.699071, "supported_languages": null}, "macro.qualtrics_source.get_core_contact_columns": {"name": "get_core_contact_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_core_contact_columns.sql", "original_file_path": "macros/get_core_contact_columns.sql", "unique_id": "macro.qualtrics_source.get_core_contact_columns", "macro_sql": "{% macro get_core_contact_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"mailing_list_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"first_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"external_data_reference\", \"datatype\": dbt.type_string()},\n    {\"name\": \"language\", \"datatype\": dbt.type_string()},\n    {\"name\": \"unsubscribed\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('qualtrics__core_contact_pass_through_columns')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.700385, "supported_languages": null}, "macro.qualtrics_source.get_survey_version_columns": {"name": "get_survey_version_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_survey_version_columns.sql", "original_file_path": "macros/get_survey_version_columns.sql", "unique_id": "macro.qualtrics_source.get_survey_version_columns", "macro_sql": "{% macro get_survey_version_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"creation_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"description\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"published\", \"datatype\": \"boolean\"},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"user_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"version_number\", \"datatype\": dbt.type_int()},\n    {\"name\": \"was_published\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.701613, "supported_languages": null}, "macro.qualtrics_source.get_survey_response_columns": {"name": "get_survey_response_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_survey_response_columns.sql", "original_file_path": "macros/get_survey_response_columns.sql", "unique_id": "macro.qualtrics_source.get_survey_response_columns", "macro_sql": "{% macro get_survey_response_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"distribution_channel\", \"datatype\": dbt.type_string()},\n    {\"name\": \"duration_in_seconds\", \"datatype\": dbt.type_int()},\n    {\"name\": \"end_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"finished\", \"datatype\": dbt.type_int()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"ip_address\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_modified_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"location_latitude\", \"datatype\": dbt.type_float()},\n    {\"name\": \"location_longitude\", \"datatype\": dbt.type_float()},\n    {\"name\": \"progress\", \"datatype\": dbt.type_int()},\n    {\"name\": \"recipient_email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_first_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_last_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recorded_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"start_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"status\", \"datatype\": dbt.type_int()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"user_language\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.dbt.type_int", "macro.dbt.type_float"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.70381, "supported_languages": null}, "macro.qualtrics_source.get_distribution_columns": {"name": "get_distribution_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_distribution_columns.sql", "original_file_path": "macros/get_distribution_columns.sql", "unique_id": "macro.qualtrics_source.get_distribution_columns", "macro_sql": "{% macro get_distribution_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"created_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"header_from_email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"header_from_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"header_reply_to_email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"header_subject\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"message_library_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"message_message_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"message_message_text\", \"datatype\": dbt.type_string()},\n    {\"name\": \"modified_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"organization_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"owner_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"parent_distribution_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_contact_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_library_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_mailing_list_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recipient_sample_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"request_status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"request_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"send_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"survey_link_expiration_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"survey_link_link_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_link_survey_id\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('qualtrics__distribution_pass_through_columns')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.7067862, "supported_languages": null}, "macro.qualtrics_source.get_user_columns": {"name": "get_user_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_user_columns.sql", "original_file_path": "macros/get_user_columns.sql", "unique_id": "macro.qualtrics_source.get_user_columns", "macro_sql": "{% macro get_user_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"account_creation_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"account_expiration_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"account_status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"division_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"first_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"language\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_login_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"last_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"organization_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"password_expiration_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"password_last_changed_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"response_count_auditable\", \"datatype\": dbt.type_int()},\n    {\"name\": \"response_count_deleted\", \"datatype\": dbt.type_int()},\n    {\"name\": \"response_count_generated\", \"datatype\": dbt.type_int()},\n    {\"name\": \"time_zone\", \"datatype\": dbt.type_string()},\n    {\"name\": \"unsubscribed\", \"datatype\": \"boolean\"},\n    {\"name\": \"user_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"username\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.709287, "supported_languages": null}, "macro.qualtrics_source.get_question_columns": {"name": "get_question_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_question_columns.sql", "original_file_path": "macros/get_question_columns.sql", "unique_id": "macro.qualtrics_source.get_question_columns", "macro_sql": "{% macro get_question_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"data_export_tag\", \"datatype\": dbt.type_string()},\n    {\"name\": \"data_visibility_hidden\", \"datatype\": \"boolean\"},\n    {\"name\": \"data_visibility_private\", \"datatype\": \"boolean\"},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"next_answer_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"next_choice_id\", \"datatype\": dbt.type_int()},\n    {\"name\": \"question_description\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_description_option\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_text\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_text_unsafe\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"selector\", \"datatype\": dbt.type_string()},\n    {\"name\": \"sub_selector\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"validation_setting_force_response\", \"datatype\": dbt.type_string()},\n    {\"name\": \"validation_setting_force_response_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"validation_setting_type\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.dbt.type_int"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.711467, "supported_languages": null}, "macro.qualtrics_source.get_survey_columns": {"name": "get_survey_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_survey_columns.sql", "original_file_path": "macros/get_survey_columns.sql", "unique_id": "macro.qualtrics_source.get_survey_columns", "macro_sql": "{% macro get_survey_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"auto_scoring_category\", \"datatype\": dbt.type_string()},\n    {\"name\": \"brand_base_url\", \"datatype\": dbt.type_string()},\n    {\"name\": \"brand_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"bundle_short_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"composition_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"creator_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"default_scoring_category\", \"datatype\": dbt.type_string()},\n    {\"name\": \"division_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_accessed\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"last_activated\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"last_modified\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"owner_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"project_category\", \"datatype\": dbt.type_string()},\n    {\"name\": \"project_type\", \"datatype\": dbt.type_string()},\n    {\"name\": \"registry_sha\", \"datatype\": dbt.type_string()},\n    {\"name\": \"registry_version\", \"datatype\": dbt.type_string()},\n    {\"name\": \"schema_version\", \"datatype\": dbt.type_string()},\n    {\"name\": \"scoring_summary_after_questions\", \"datatype\": \"boolean\"},\n    {\"name\": \"scoring_summary_after_survey\", \"datatype\": \"boolean\"},\n    {\"name\": \"scoring_summary_category\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_status\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('qualtrics__survey_pass_through_columns')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.7145212, "supported_languages": null}, "macro.qualtrics_source.get_directory_columns": {"name": "get_directory_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_directory_columns.sql", "original_file_path": "macros/get_directory_columns.sql", "unique_id": "macro.qualtrics_source.get_directory_columns", "macro_sql": "{% macro get_directory_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"deduplication_criteria_email\", \"datatype\": \"boolean\"},\n    {\"name\": \"deduplication_criteria_external_data_reference\", \"datatype\": \"boolean\"},\n    {\"name\": \"deduplication_criteria_first_name\", \"datatype\": \"boolean\"},\n    {\"name\": \"deduplication_criteria_last_name\", \"datatype\": \"boolean\"},\n    {\"name\": \"deduplication_criteria_phone\", \"datatype\": \"boolean\"},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"is_default\", \"datatype\": \"boolean\"},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('qualtrics__directory_pass_through_columns')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.715761, "supported_languages": null}, "macro.qualtrics_source.get_block_question_columns": {"name": "get_block_question_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_block_question_columns.sql", "original_file_path": "macros/get_block_question_columns.sql", "unique_id": "macro.qualtrics_source.get_block_question_columns", "macro_sql": "{% macro get_block_question_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"block_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.7164621, "supported_languages": null}, "macro.qualtrics_source.get_question_response_columns": {"name": "get_question_response_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_question_response_columns.sql", "original_file_path": "macros/get_question_response_columns.sql", "unique_id": "macro.qualtrics_source.get_question_response_columns", "macro_sql": "{% macro get_question_response_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"loop_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_option_key\", \"datatype\": dbt.type_string()},\n    {\"name\": \"response_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"sub_question_key\", \"datatype\": dbt.type_string()},\n    {\"name\": \"sub_question_text\", \"datatype\": dbt.type_string()},\n    {\"name\": \"value\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_string", "macro.dbt.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.7176828, "supported_languages": null}, "macro.qualtrics_source.get_core_mailing_list_columns": {"name": "get_core_mailing_list_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_core_mailing_list_columns.sql", "original_file_path": "macros/get_core_mailing_list_columns.sql", "unique_id": "macro.qualtrics_source.get_core_mailing_list_columns", "macro_sql": "{% macro get_core_mailing_list_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"library_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"category\", \"datatype\": dbt.type_string()},\n    {\"name\": \"folder\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.7185762, "supported_languages": null}, "macro.qualtrics_source.get_directory_contact_columns": {"name": "get_directory_contact_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_directory_contact_columns.sql", "original_file_path": "macros/get_directory_contact_columns.sql", "unique_id": "macro.qualtrics_source.get_directory_contact_columns", "macro_sql": "{% macro get_directory_contact_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"creation_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"directory_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"directory_unsubscribe_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"directory_unsubscribed\", \"datatype\": \"boolean\"},\n    {\"name\": \"email\", \"datatype\": dbt.type_string()},\n    {\"name\": \"email_domain\", \"datatype\": dbt.type_string()},\n    {\"name\": \"ext_ref\", \"datatype\": dbt.type_string()},\n    {\"name\": \"first_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"language\", \"datatype\": dbt.type_string()},\n    {\"name\": \"last_modified\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"last_name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"phone\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ fivetran_utils.add_pass_through_columns(columns, var('qualtrics__directory_contact_pass_through_columns')) }}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string", "macro.fivetran_utils.add_pass_through_columns"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.720299, "supported_languages": null}, "macro.qualtrics_source.get_distribution_contact_columns": {"name": "get_distribution_contact_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_distribution_contact_columns.sql", "original_file_path": "macros/get_distribution_contact_columns.sql", "unique_id": "macro.qualtrics_source.get_distribution_contact_columns", "macro_sql": "{% macro get_distribution_contact_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"contact_frequency_rule_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"contact_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"contact_lookup_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"distribution_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"opened_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"response_completed_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"response_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"response_started_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"sent_at\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"status\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_link\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_session_id\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.721833, "supported_languages": null}, "macro.qualtrics_source.get_question_option_columns": {"name": "get_question_option_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_question_option_columns.sql", "original_file_path": "macros/get_question_option_columns.sql", "unique_id": "macro.qualtrics_source.get_question_option_columns", "macro_sql": "{% macro get_question_option_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_deleted\", \"datatype\": \"boolean\"},\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"key\", \"datatype\": dbt.type_string()},\n    {\"name\": \"question_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"recode_value\", \"datatype\": dbt.type_string()},\n    {\"name\": \"survey_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"text\", \"datatype\": dbt.type_string()}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.7227259, "supported_languages": null}, "macro.qualtrics_source.get_contact_mailing_list_membership_columns": {"name": "get_contact_mailing_list_membership_columns", "resource_type": "macro", "package_name": "qualtrics_source", "path": "macros/get_contact_mailing_list_membership_columns.sql", "original_file_path": "macros/get_contact_mailing_list_membership_columns.sql", "unique_id": "macro.qualtrics_source.get_contact_mailing_list_membership_columns", "macro_sql": "{% macro get_contact_mailing_list_membership_columns() %}\n\n{% set columns = [\n    {\"name\": \"_fivetran_synced\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"contact_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"contact_lookup_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"directory_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"mailing_list_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"name\", \"datatype\": dbt.type_string()},\n    {\"name\": \"owner_id\", \"datatype\": dbt.type_string()},\n    {\"name\": \"unsubscribe_date\", \"datatype\": dbt.type_timestamp()},\n    {\"name\": \"unsubscribed\", \"datatype\": \"boolean\"}\n] %}\n\n{{ return(columns) }}\n\n{% endmacro %}", "depends_on": {"macros": ["macro.dbt.type_timestamp", "macro.dbt.type_string"]}, "description": "", "meta": {}, "docs": {"show": true, "node_color": null}, "patch_path": null, "arguments": [], "created_at": 1703019361.723876, "supported_languages": null}}, "docs": {"doc.dbt.__overview__": {"name": "__overview__", "resource_type": "doc", "package_name": "dbt", "path": "overview.md", "original_file_path": "docs/overview.md", "unique_id": "doc.dbt.__overview__", "block_contents": "### Welcome!\n\nWelcome to the auto-generated documentation for your dbt project!\n\n### Navigation\n\nYou can use the `Project` and `Database` navigation tabs on the left side of the window to explore the models\nin your project.\n\n#### Project Tab\nThe `Project` tab mirrors the directory structure of your dbt project. In this tab, you can see all of the\nmodels defined in your dbt project, as well as models imported from dbt packages.\n\n#### Database Tab\nThe `Database` tab also exposes your models, but in a format that looks more like a database explorer. This view\nshows relations (tables and views) grouped into database schemas. Note that ephemeral models are _not_ shown\nin this interface, as they do not exist in the database.\n\n### Graph Exploration\nYou can click the blue icon on the bottom-right corner of the page to view the lineage graph of your models.\n\nOn model pages, you'll see the immediate parents and children of the model you're exploring. By clicking the `Expand`\nbutton at the top-right of this lineage pane, you'll be able to see all of the models that are used to build,\nor are built from, the model you're exploring.\n\nOnce expanded, you'll be able to use the `--select` and `--exclude` model selection syntax to filter the\nmodels in the graph. For more information on model selection, check out the [dbt docs](https://docs.getdbt.com/docs/model-selection-syntax).\n\nNote that you can also right-click on models to interactively filter and explore the graph.\n\n---\n\n### More information\n\n- [What is dbt](https://docs.getdbt.com/docs/introduction)?\n- Read the [dbt viewpoint](https://docs.getdbt.com/docs/viewpoint)\n- [Installation](https://docs.getdbt.com/docs/installation)\n- Join the [dbt Community](https://www.getdbt.com/community/) for questions and discussion"}, "doc.qualtrics.embedded_data": {"name": "embedded_data", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.embedded_data", "block_contents": "JSON of  Any extra information you would like recorded in addition to the question responses (from the `survey_embedded_data` source table)."}, "doc.qualtrics.count_published_versions": {"name": "count_published_versions", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_published_versions", "block_contents": "Number of versions that have been published for this survey."}, "doc.qualtrics.count_questions": {"name": "count_questions", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_questions", "block_contents": "Total number of questions (does not include deleted ones) in the survey."}, "doc.qualtrics.avg_response_duration_in_seconds": {"name": "avg_response_duration_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.avg_response_duration_in_seconds", "block_contents": "On average, how long it took a respondent to finish a survey in seconds."}, "doc.qualtrics.avg_survey_progress_pct": {"name": "avg_survey_progress_pct", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.avg_survey_progress_pct", "block_contents": "On average, how far a respondent has progressed through a survey as a percentage out of 100."}, "doc.qualtrics.median_response_duration_in_seconds": {"name": "median_response_duration_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.median_response_duration_in_seconds", "block_contents": "The median of how long it took a respondent to finish a survey in seconds."}, "doc.qualtrics.median_survey_progress_pct": {"name": "median_survey_progress_pct", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.median_survey_progress_pct", "block_contents": "The median of how far a respondent has progressed through a survey as a percentage out of 100."}, "doc.qualtrics.count_survey_responses": {"name": "count_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_survey_responses", "block_contents": "Total number of survey responses."}, "doc.qualtrics.count_completed_survey_responses": {"name": "count_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_completed_survey_responses", "block_contents": "Total number of _completed_ survey responses (ie `is_finished=true`)."}, "doc.qualtrics.count_survey_responses_30d": {"name": "count_survey_responses_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_survey_responses_30d", "block_contents": "Number of survey responses recorded in the past 30 days."}, "doc.qualtrics.count_completed_survey_responses_30d": {"name": "count_completed_survey_responses_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_completed_survey_responses_30d", "block_contents": "Number of _completed_ survey responses recorded in the past 30 days."}, "doc.qualtrics.count_anonymous_survey_responses": {"name": "count_anonymous_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_anonymous_survey_responses", "block_contents": "Number of recorded survey responses distributed anonymously."}, "doc.qualtrics.count_anonymous_completed_survey_responses": {"name": "count_anonymous_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_anonymous_completed_survey_responses", "block_contents": "Number of _completed_ recorded survey responses distributed anonymously."}, "doc.qualtrics.count_social_media_survey_responses": {"name": "count_social_media_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_social_media_survey_responses", "block_contents": "Number of recorded survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/)."}, "doc.qualtrics.count_social_media_completed_survey_responses": {"name": "count_social_media_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_social_media_completed_survey_responses", "block_contents": "Number of _completed_ survey responses distributed via [social media](https://www.qualtrics.com/support/survey-platform/distributions-module/social-media-distribution/)."}, "doc.qualtrics.count_personal_link_survey_responses": {"name": "count_personal_link_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_personal_link_survey_responses", "block_contents": "Number of recorded survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/)."}, "doc.qualtrics.count_personal_link_completed_survey_responses": {"name": "count_personal_link_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_personal_link_completed_survey_responses", "block_contents": "Number of _completed_ survey responses distributed via [personal links](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/personal-links/)."}, "doc.qualtrics.count_qr_code_survey_responses": {"name": "count_qr_code_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_qr_code_survey_responses", "block_contents": "Number of recorded survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/)."}, "doc.qualtrics.count_qr_code_completed_survey_responses": {"name": "count_qr_code_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_qr_code_completed_survey_responses", "block_contents": "Number of _completed_ survey responses distributed via [QR codes](https://www.qualtrics.com/support/survey-platform/distributions-module/web-distribution/qr-code/)."}, "doc.qualtrics.count_email_survey_responses": {"name": "count_email_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_email_survey_responses", "block_contents": "Number of recorded survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/)."}, "doc.qualtrics.count_email_completed_survey_responses": {"name": "count_email_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_email_completed_survey_responses", "block_contents": "Number of _completed_ survey responses distributed via [email](https://www.qualtrics.com/support/survey-platform/distributions-module/email-distribution/emails-overview/)."}, "doc.qualtrics.count_sms_survey_responses": {"name": "count_sms_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_sms_survey_responses", "block_contents": "Number of recorded survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/)."}, "doc.qualtrics.count_sms_completed_survey_responses": {"name": "count_sms_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_sms_completed_survey_responses", "block_contents": "Number of _completed_ survey responses distributed via [SMS invite](https://www.qualtrics.com/support/survey-platform/distributions-module/mobile-distributions/sms-surveys/)."}, "doc.qualtrics.count_uncategorized_survey_responses": {"name": "count_uncategorized_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_uncategorized_survey_responses", "block_contents": "Number of recorded survey responses not distributed via the default channels."}, "doc.qualtrics.count_uncategorized_completed_survey_responses": {"name": "count_uncategorized_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_uncategorized_completed_survey_responses", "block_contents": "Number of _completed_ survey responses not distributed via the default channels."}, "doc.qualtrics.publisher_email": {"name": "publisher_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.publisher_email", "block_contents": "Email of the `USER` who published the latest survey version."}, "doc.qualtrics.creator_email": {"name": "creator_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.creator_email", "block_contents": "Email of the `USER` who created the object."}, "doc.qualtrics.owner_email": {"name": "owner_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.owner_email", "block_contents": "Email of the `USER` who owns the object."}, "doc.qualtrics.is_xm_directory_contact": {"name": "is_xm_directory_contact", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.is_xm_directory_contact", "block_contents": "Boolean representing whether the contact came from the XM Directory API endpoint (ie stored in the `directory_contact` table)."}, "doc.qualtrics.is_research_core_contact": {"name": "is_research_core_contact", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.is_research_core_contact", "block_contents": "Boolean representing whether the contact came from the (to-be-deprecated) Research Core API endpoint (ie stored in the `core_contact` table)."}, "doc.qualtrics.mailing_list_ids": {"name": "mailing_list_ids", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.mailing_list_ids", "block_contents": "Comma-separated list of mailing list IDs the record is associated with."}, "doc.qualtrics.count_surveys_sent_email": {"name": "count_surveys_sent_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_sent_email", "block_contents": "Distinct surveys sent to the contact via email invite."}, "doc.qualtrics.count_surveys_sent_sms": {"name": "count_surveys_sent_sms", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_sent_sms", "block_contents": "Distinct surveys sent to the contact via SMS invite."}, "doc.qualtrics.count_surveys_opened_email": {"name": "count_surveys_opened_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_opened_email", "block_contents": "Distinct surveys opened by the contact via email invite."}, "doc.qualtrics.count_surveys_opened_sms": {"name": "count_surveys_opened_sms", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_opened_sms", "block_contents": "Distinct surveys opened by the contact via SMS invite."}, "doc.qualtrics.count_surveys_started_email": {"name": "count_surveys_started_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_started_email", "block_contents": "Distinct surveys started by the contact via email invite."}, "doc.qualtrics.count_surveys_started_sms": {"name": "count_surveys_started_sms", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_started_sms", "block_contents": "Distinct surveys started by the contact via SMS invite."}, "doc.qualtrics.count_surveys_completed_email": {"name": "count_surveys_completed_email", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_completed_email", "block_contents": "Distinct surveys completed by the contact via email invite."}, "doc.qualtrics.count_surveys_completed_sms": {"name": "count_surveys_completed_sms", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_completed_sms", "block_contents": "Distinct surveys completed by the contact via SMS invite."}, "doc.qualtrics.total_count_surveys": {"name": "total_count_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_surveys", "block_contents": "Total distinct surveys distributed."}, "doc.qualtrics.total_count_completed_surveys": {"name": "total_count_completed_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_completed_surveys", "block_contents": "Total distinct surveys completed."}, "doc.qualtrics.last_survey_response_recorded_at": {"name": "last_survey_response_recorded_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.last_survey_response_recorded_at", "block_contents": "The most recent point in time when a survey response was recorded."}, "doc.qualtrics.first_survey_response_recorded_at": {"name": "first_survey_response_recorded_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.first_survey_response_recorded_at", "block_contents": "The earliest point in time when a survey response was recorded."}, "doc.qualtrics.count_mailing_lists_subscribed_to": {"name": "count_mailing_lists_subscribed_to", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_mailing_lists_subscribed_to", "block_contents": "Count of distinct mailing lists the contact is a member of and has not opted out of."}, "doc.qualtrics.count_mailing_lists_unsubscribed_from": {"name": "count_mailing_lists_unsubscribed_from", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_mailing_lists_unsubscribed_from", "block_contents": "Count of distinct mailing lists that the contact has opted out of receiving emails through."}, "doc.qualtrics.count_distinct_emails": {"name": "count_distinct_emails", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_distinct_emails", "block_contents": "Count of distinct email addresses in the directory."}, "doc.qualtrics.count_distinct_phones": {"name": "count_distinct_phones", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_distinct_phones", "block_contents": "Count of distinct phone numbers (stripped of any non-numeric characters) in the directory."}, "doc.qualtrics.total_count_contacts": {"name": "total_count_contacts", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_contacts", "block_contents": "Total number of contacts."}, "doc.qualtrics.total_count_unsubscribed_contacts": {"name": "total_count_unsubscribed_contacts", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_unsubscribed_contacts", "block_contents": "Total number of contacts who have unsubscribed from the directory."}, "doc.qualtrics.count_contacts_created_30d": {"name": "count_contacts_created_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_created_30d", "block_contents": "Number of contacts created in the last 30 days (inclusive) in this directory."}, "doc.qualtrics.count_contacts_unsubscribed_30d": {"name": "count_contacts_unsubscribed_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_unsubscribed_30d", "block_contents": "Number of contacts who have opted out of receiving communications through this directory in the last 30 days (inclusive)."}, "doc.qualtrics.count_contacts_sent_survey_30d": {"name": "count_contacts_sent_survey_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_sent_survey_30d", "block_contents": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive)."}, "doc.qualtrics.count_contacts_opened_survey_30d": {"name": "count_contacts_opened_survey_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_opened_survey_30d", "block_contents": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive) and opened it."}, "doc.qualtrics.count_contacts_started_survey_30d": {"name": "count_contacts_started_survey_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_started_survey_30d", "block_contents": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive)and started it."}, "doc.qualtrics.count_contacts_completed_survey_30d": {"name": "count_contacts_completed_survey_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_completed_survey_30d", "block_contents": "Number of contacts in this directory who have been sent a survey in the past 30 days (inclusive) and completed it."}, "doc.qualtrics.count_surveys_sent_30d": {"name": "count_surveys_sent_30d", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_surveys_sent_30d", "block_contents": "Number of _distinct_ surveys sent to contacts in the past 30 days (inclusive)."}, "doc.qualtrics.count_mailing_lists": {"name": "count_mailing_lists", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_mailing_lists", "block_contents": "Number of mailing lists the exist within the directory."}, "doc.qualtrics.parent_distribution_header_subject": {"name": "parent_distribution_header_subject", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.parent_distribution_header_subject", "block_contents": "Email subject; text or message id (MS_) of the parent distribution."}, "doc.qualtrics.recipient_mailing_list_name": {"name": "recipient_mailing_list_name", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.recipient_mailing_list_name", "block_contents": "Name of the mailing list associated with the distribution(s)."}, "doc.qualtrics.owner_first_name": {"name": "owner_first_name", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.owner_first_name", "block_contents": "First name of the `user` who owns the object."}, "doc.qualtrics.owner_last_name": {"name": "owner_last_name", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.owner_last_name", "block_contents": "Surname of the `user` who owns the object."}, "doc.qualtrics.count_contacts_sent_surveys": {"name": "count_contacts_sent_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_sent_surveys", "block_contents": "Count of unique contacts who have been sent surveys via the distribution."}, "doc.qualtrics.count_contacts_opened_surveys": {"name": "count_contacts_opened_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_opened_surveys", "block_contents": "Count of unique contacts who have opened surveys via the distribution."}, "doc.qualtrics.count_contacts_started_surveys": {"name": "count_contacts_started_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_started_surveys", "block_contents": "Count of unique contacts who have started surveys via the distribution."}, "doc.qualtrics.count_contacts_completed_surveys": {"name": "count_contacts_completed_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_completed_surveys", "block_contents": "Count of unique contacts who have completed surveys via the distribution."}, "doc.qualtrics.first_survey_sent_at": {"name": "first_survey_sent_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.first_survey_sent_at", "block_contents": "Timestamp of when the first survey was sent via this distribution."}, "doc.qualtrics.last_survey_sent_at": {"name": "last_survey_sent_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.last_survey_sent_at", "block_contents": "Timestamp of when a survey was most recently sent out via this distribution."}, "doc.qualtrics.first_survey_opened_at": {"name": "first_survey_opened_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.first_survey_opened_at", "block_contents": "Timestamp of when the first survey was opened via this distribution."}, "doc.qualtrics.last_survey_opened_at": {"name": "last_survey_opened_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.last_survey_opened_at", "block_contents": "Timestamp of when a survey was most recently opened via this distribution."}, "doc.qualtrics.first_response_completed_at": {"name": "first_response_completed_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.first_response_completed_at", "block_contents": "Timestamp of when the first survey was completed via this distribution."}, "doc.qualtrics.last_response_completed_at": {"name": "last_response_completed_at", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.last_response_completed_at", "block_contents": "Timestamp of when a survey was most recently completed via this distribution."}, "doc.qualtrics.avg_time_to_open_in_seconds": {"name": "avg_time_to_open_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.avg_time_to_open_in_seconds", "block_contents": "Average time difference between when a survey was sent and when it was opened."}, "doc.qualtrics.avg_time_to_start_in_seconds": {"name": "avg_time_to_start_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.avg_time_to_start_in_seconds", "block_contents": "Average time difference between when a survey was **sent** and when it was started."}, "doc.qualtrics.avg_time_to_complete_in_seconds": {"name": "avg_time_to_complete_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.avg_time_to_complete_in_seconds", "block_contents": "Average time difference between when a survey was **sent** and when it was completed."}, "doc.qualtrics.median_time_to_open_in_seconds": {"name": "median_time_to_open_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.median_time_to_open_in_seconds", "block_contents": "Median time difference between when a survey was sent and when it was opened."}, "doc.qualtrics.median_time_to_start_in_seconds": {"name": "median_time_to_start_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.median_time_to_start_in_seconds", "block_contents": "Median time difference between when a survey was **sent** and when it was started."}, "doc.qualtrics.median_time_to_complete_in_seconds": {"name": "median_time_to_complete_in_seconds", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.median_time_to_complete_in_seconds", "block_contents": "Median time difference between when a survey was **sent** and when it was completed."}, "doc.qualtrics.current_count_surveys_pending": {"name": "current_count_surveys_pending", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_pending", "block_contents": "Count of distributed surveys currently pending (the distribution is scheduled but has yet to be sent)."}, "doc.qualtrics.current_count_surveys_success": {"name": "current_count_surveys_success", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_success", "block_contents": "Count of distributed surveys currently with a status of `success` (the distribution was successfully delivered to the contact)."}, "doc.qualtrics.current_count_surveys_error": {"name": "current_count_surveys_error", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_error", "block_contents": "Count of distributed surveys currently with a status of `error` (an error occurred while attempting to send the distribution)."}, "doc.qualtrics.current_count_surveys_opened": {"name": "current_count_surveys_opened", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_opened", "block_contents": "Count of distributed surveys currently with a status of `opened` (the distribution was opened by the contact)."}, "doc.qualtrics.current_count_surveys_complaint": {"name": "current_count_surveys_complaint", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_complaint", "block_contents": "Count of distributed surveys currently with a status of `complaint` (the contact complained that the distribution was spam)."}, "doc.qualtrics.current_count_surveys_skipped": {"name": "current_count_surveys_skipped", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_skipped", "block_contents": "Count of distributed surveys currently with a status of `skipped` (the contact was skipped due to contact frequency rules or blacklisted contact information)."}, "doc.qualtrics.current_count_surveys_blocked": {"name": "current_count_surveys_blocked", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_blocked", "block_contents": "Count of distributed surveys currently with a status of `blocked` (the distribution failed to send, because the contact blocked it or the email was caught by the spam circuit breaker)."}, "doc.qualtrics.current_count_surveys_failure": {"name": "current_count_surveys_failure", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_failure", "block_contents": "Count of distributed surveys currently with a status of `failed` (the distribution failed to be delivered)."}, "doc.qualtrics.current_count_surveys_unknown": {"name": "current_count_surveys_unknown", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_unknown", "block_contents": "Count of distributed surveys currently with a status of `unknown` (the distribution failed for an unknown reason)."}, "doc.qualtrics.current_count_surveys_softbounce": {"name": "current_count_surveys_softbounce", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_softbounce", "block_contents": "Count of distributed surveys currently with a status of `softbounce` (the distribution bounced but can be retried)."}, "doc.qualtrics.current_count_surveys_hardbounce": {"name": "current_count_surveys_hardbounce", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_hardbounce", "block_contents": "Count of distributed surveys currently with a status of `hardbounce` (the distribution bounced and should not be retried)."}, "doc.qualtrics.current_count_surveys_surveystarted": {"name": "current_count_surveys_surveystarted", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_surveystarted", "block_contents": "Count of distributed surveys currently with a status of `surveystarted` (the contact started the survey distributed)."}, "doc.qualtrics.current_count_surveys_surveyfinished": {"name": "current_count_surveys_surveyfinished", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_surveyfinished", "block_contents": "Count of distributed surveys currently with a status of `surveyfinished` (the contact submitted a completed survey response)."}, "doc.qualtrics.current_count_surveys_surveyscreenedout": {"name": "current_count_surveys_surveyscreenedout", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_surveyscreenedout", "block_contents": "Count of distributed surveys currently with a status of `surveyscreenedout` (the contact screened out while taking the survey)."}, "doc.qualtrics.current_count_surveys_sessionexpired": {"name": "current_count_surveys_sessionexpired", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_sessionexpired", "block_contents": "Count of distributed surveys currently with a status of `sessionexpired` (the contact's survey session has expired)."}, "doc.qualtrics.current_count_surveys_surveypartiallyfinished": {"name": "current_count_surveys_surveypartiallyfinished", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.current_count_surveys_surveypartiallyfinished", "block_contents": "Count of distributed surveys currently with a status of `surveypartiallyfinished` (the contact submitted a partially completed survey response)."}, "doc.qualtrics.date_day": {"name": "date_day", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.date_day", "block_contents": "Day of activity in your Qualtrics instance."}, "doc.qualtrics.count_contacts_created": {"name": "count_contacts_created", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_created", "block_contents": "New contacts created on this day."}, "doc.qualtrics.count_contacts_unsubscribed_from_directory": {"name": "count_contacts_unsubscribed_from_directory", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_unsubscribed_from_directory", "block_contents": "Count of contacts that unsubscribed from a directory."}, "doc.qualtrics.count_contacts_unsubscribed_from_mailing_list": {"name": "count_contacts_unsubscribed_from_mailing_list", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_unsubscribed_from_mailing_list", "block_contents": "Count of contacts that unsubscribed from a mailing list."}, "doc.qualtrics.count_distinct_surveys_responded_to": {"name": "count_distinct_surveys_responded_to", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_distinct_surveys_responded_to", "block_contents": "Count of distinct survey templates (ie `survey_id`) that contacts responded to on this day."}, "doc.qualtrics.total_count_survey_responses": {"name": "total_count_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_survey_responses", "block_contents": "Count of distinct survey responses recorded on this day."}, "doc.qualtrics.total_count_completed_survey_responses": {"name": "total_count_completed_survey_responses", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.total_count_completed_survey_responses", "block_contents": "Count of distinct complete survey responses recorded on this day."}, "doc.qualtrics.count_contacts_opened_sent_surveys": {"name": "count_contacts_opened_sent_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_opened_sent_surveys", "block_contents": "Count of contacts who opened a survey that was sent on this day."}, "doc.qualtrics.count_contacts_started_sent_surveys": {"name": "count_contacts_started_sent_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_started_sent_surveys", "block_contents": "Count of contacts who started a survey that was sent on this day."}, "doc.qualtrics.count_contacts_completed_sent_surveys": {"name": "count_contacts_completed_sent_surveys", "resource_type": "doc", "package_name": "qualtrics", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics.count_contacts_completed_sent_surveys", "block_contents": "Count of contacts who completed a survey that was sent on this day."}, "doc.qualtrics_source._fivetran_synced": {"name": "_fivetran_synced", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source._fivetran_synced", "block_contents": "The time when a record was last updated by Fivetran."}, "doc.qualtrics_source.source_relation": {"name": "source_relation", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.source_relation", "block_contents": "The schema or database this record came from if you are making use of the qualtrics_union_schemas or qualtrics_union_databases variables, respectively. Empty string if you are not using either of these variables to union together multiple Qualtrics connectors."}, "doc.qualtrics_source._fivetran_deleted": {"name": "_fivetran_deleted", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source._fivetran_deleted", "block_contents": "Boolean representing whether the record was soft-deleted in Qualtrics."}, "doc.qualtrics_source.block_locking": {"name": "block_locking", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.block_locking", "block_contents": "Boolean representing whether modification of the block and its contents is prevented."}, "doc.qualtrics_source.block_visibility": {"name": "block_visibility", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.block_visibility", "block_contents": "Whether the questions in the block are 'collapsed' or 'expanded' by default."}, "doc.qualtrics_source.block_description": {"name": "block_description", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.block_description", "block_contents": "Description given to the block."}, "doc.qualtrics_source.block_id": {"name": "block_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.block_id", "block_contents": "The ID of the survey block. Match pattern = ^BL_[a-zA-Z0-9]{11,15}$"}, "doc.qualtrics_source.randomize_questions": {"name": "randomize_questions", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.randomize_questions", "block_contents": "If/how the block questions are randomized. Can be - `false` (no randomization), `RandomWithXPerPage` (randomize all and place X questions in each block), `RandomWithOnlyX` (randomly present only X out of the total questions), or `Advanced` (custom configuration)"}, "doc.qualtrics_source.survey_id": {"name": "survey_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_id", "block_contents": "The unique identifier for this survey. Match pattern = ^SV_[a-zA-Z0-9]{11,15}$"}, "doc.qualtrics_source.block_type": {"name": "block_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.block_type", "block_contents": "Type of block. Can be `Trash`, `Default`, or `Standard`"}, "doc.qualtrics_source.user_id": {"name": "user_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.user_id", "block_contents": "Unique ID of the user. Match pattern  = ^((UR)|(URH))_[0-9a-zA-Z]{11,15}$"}, "doc.qualtrics_source.division_id": {"name": "division_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.division_id", "block_contents": "The unique identifier for the Division ID. Match pattern = ^DV_[0-9a-zA-Z]{11,15}$"}, "doc.qualtrics_source.username": {"name": "username", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.username", "block_contents": "UI-facing username for the account."}, "doc.qualtrics_source.user_first_name": {"name": "user_first_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.user_first_name", "block_contents": "The user's first name or given name."}, "doc.qualtrics_source.user_last_name": {"name": "user_last_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.user_last_name", "block_contents": "User's surname."}, "doc.qualtrics_source.user_type": {"name": "user_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.user_type", "block_contents": "ID of the user type. See mappings of user types to their type IDs [here](https://api.qualtrics.com/dc2be1c61af61-user-type)."}, "doc.qualtrics_source.organization_id": {"name": "organization_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.organization_id", "block_contents": "ID of the organization/brand this record belongs to."}, "doc.qualtrics_source.language": {"name": "language", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.language", "block_contents": "The user's default language."}, "doc.qualtrics_source.unsubscribed": {"name": "unsubscribed", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.unsubscribed", "block_contents": "Boolean indicating if the user unsubscribed."}, "doc.qualtrics_source.account_creation_date": {"name": "account_creation_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.account_creation_date", "block_contents": "The date and time that the account was created. Dates and times are expressed in ISO 8601 format."}, "doc.qualtrics_source.account_expiration_date": {"name": "account_expiration_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.account_expiration_date", "block_contents": "The date the account expires. Dates and times are expressed in ISO 8601 format."}, "doc.qualtrics_source.account_status": {"name": "account_status", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.account_status", "block_contents": "Either `active`, `disabled`, or `notVerified`."}, "doc.qualtrics_source.email": {"name": "email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.email", "block_contents": "The user's email address."}, "doc.qualtrics_source.last_login_date": {"name": "last_login_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.last_login_date", "block_contents": "The date and time the user last logged into the user interface. Dates and times are expressed in ISO 8601 format."}, "doc.qualtrics_source.password_expiration_date": {"name": "password_expiration_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.password_expiration_date", "block_contents": "The date the account password expires. Dates and times are expressed in ISO 8601 format."}, "doc.qualtrics_source.password_last_changed_date": {"name": "password_last_changed_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.password_last_changed_date", "block_contents": "The date the account password was last changed. Dates and times are expressed in ISO 8601 format."}, "doc.qualtrics_source.response_count_auditable": {"name": "response_count_auditable", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_count_auditable", "block_contents": "The count of auditable responses."}, "doc.qualtrics_source.response_count_deleted": {"name": "response_count_deleted", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_count_deleted", "block_contents": "The count of deleted responses."}, "doc.qualtrics_source.response_count_generated": {"name": "response_count_generated", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_count_generated", "block_contents": "The count of generated responses."}, "doc.qualtrics_source.time_zone": {"name": "time_zone", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.time_zone", "block_contents": "The IANA time zone setting for the user."}, "doc.qualtrics_source.auto_scoring_category": {"name": "auto_scoring_category", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.auto_scoring_category", "block_contents": "The automated scoring category."}, "doc.qualtrics_source.brand_base_url": {"name": "brand_base_url", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.brand_base_url", "block_contents": "Base url for the organization/brand."}, "doc.qualtrics_source.brand_id": {"name": "brand_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.brand_id", "block_contents": "Unique ID of the organization/brand."}, "doc.qualtrics_source.bundle_short_name": {"name": "bundle_short_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.bundle_short_name", "block_contents": "Short name for the content bundle that the survey is from."}, "doc.qualtrics_source.composition_type": {"name": "composition_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.composition_type", "block_contents": "Survey composition type."}, "doc.qualtrics_source.creator_id": {"name": "creator_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.creator_id", "block_contents": "The unique identifier for a specific `USER` who created the survey."}, "doc.qualtrics_source.default_scoring_category": {"name": "default_scoring_category", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.default_scoring_category", "block_contents": "The default scoring category."}, "doc.qualtrics_source.is_active": {"name": "is_active", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.is_active", "block_contents": "DEPRECATED. Use `survey_status = 'active'` instead."}, "doc.qualtrics_source.last_accessed": {"name": "last_accessed", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.last_accessed", "block_contents": "The date the survey was last accessed."}, "doc.qualtrics_source.last_activated": {"name": "last_activated", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.last_activated", "block_contents": "The date the survey was last activated."}, "doc.qualtrics_source.owner_id": {"name": "owner_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.owner_id", "block_contents": "The unique identifier for a specific user who owns this."}, "doc.qualtrics_source.project_category": {"name": "project_category", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.project_category", "block_contents": "Project category of the survey.\n\nAllowed values - `CORE`, `CX`, `EX`, `BX`, `PX`"}, "doc.qualtrics_source.project_type": {"name": "project_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.project_type", "block_contents": "Type of [Qualtrics project](https://www.qualtrics.com/support/survey-platform/my-projects/my-projects-overview/#SelectingProjectType). Match pattern = ^[a-zA-Z]+$"}, "doc.qualtrics_source.registry_sha": {"name": "registry_sha", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.registry_sha", "block_contents": "The survey registry SHA."}, "doc.qualtrics_source.registry_version": {"name": "registry_version", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.registry_version", "block_contents": "The survey registry version."}, "doc.qualtrics_source.schema_version": {"name": "schema_version", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.schema_version", "block_contents": "Qualtrics schema version."}, "doc.qualtrics_source.scoring_summary_after_questions": {"name": "scoring_summary_after_questions", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.scoring_summary_after_questions", "block_contents": "Boolean representing whether the scoring summary is after questions."}, "doc.qualtrics_source.scoring_summary_after_survey": {"name": "scoring_summary_after_survey", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.scoring_summary_after_survey", "block_contents": "Boolean representing whether the scoring summary is after the survey."}, "doc.qualtrics_source.scoring_summary_category": {"name": "scoring_summary_category", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.scoring_summary_category", "block_contents": "The unique identifier for the scoring."}, "doc.qualtrics_source.survey_name": {"name": "survey_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_name", "block_contents": "Name of the survey."}, "doc.qualtrics_source.survey_status": {"name": "survey_status", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_status", "block_contents": "The distribution status of the survey, or a flag indicating that it's a library block\n\nAllowed values - `Inactive`, `Active`, `Pending`, `LibBlock`, `Deactive`, `Temporary`"}, "doc.qualtrics_source.data_export_tag": {"name": "data_export_tag", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.data_export_tag", "block_contents": "The tag to identify the question in exported data."}, "doc.qualtrics_source.choice_data_export_tag": {"name": "choice_data_export_tag", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.choice_data_export_tag", "block_contents": "The tag to identify the question choice in exported data."}, "doc.qualtrics_source.data_visibility_hidden": {"name": "data_visibility_hidden", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.data_visibility_hidden", "block_contents": "Boolean that represents whether the embedded data is hidden."}, "doc.qualtrics_source.data_visibility_private": {"name": "data_visibility_private", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.data_visibility_private", "block_contents": "Boolean that represents whether the embedded data is private."}, "doc.qualtrics_source.question_id": {"name": "question_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_id", "block_contents": "The unique identifier for the question. Match pattern = ^QID[a-zA-Z0-9]+$"}, "doc.qualtrics_source.next_answer_id": {"name": "next_answer_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.next_answer_id", "block_contents": "For Matrix questions, the vertical options are denoted as \"Answers\" in the question's structure. \nID of the next answer for this question. ?"}, "doc.qualtrics_source.next_choice_id": {"name": "next_choice_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.next_choice_id", "block_contents": "For Matrix questions, the horizontal options are denoted as \"Choices\" in the question's structure. \n\nID of the next choice for this question. ?"}, "doc.qualtrics_source.question_description": {"name": "question_description", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_description", "block_contents": "Label to identify the question."}, "doc.qualtrics_source.question_description_option": {"name": "question_description_option", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_description_option", "block_contents": "An optional user-provided field for question descriptions. Accepted values = `UseText`, `SpecifyLabel`"}, "doc.qualtrics_source.question_text": {"name": "question_text", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_text", "block_contents": "Text for the question."}, "doc.qualtrics_source.question_text_unsafe": {"name": "question_text_unsafe", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_text_unsafe", "block_contents": "Un-paresed version of the question text."}, "doc.qualtrics_source.question_type": {"name": "question_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_type", "block_contents": "The type of question. Can be -\n`MC`,`Matrix`,`Captcha`,`CS`,`DB`,`DD`,`Draw`,`DynamicMatrix`,`FileUpload`,`GAP`,`HeatMap`,`HL`,`HotSpot`,`Meta`,`PGR`,`RO`,`SBS`,`Slider`,`SS`,`TE`,`Timing`,`TreeSelect`"}, "doc.qualtrics_source.selector": {"name": "selector", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.selector", "block_contents": "How answers are selected such as single answer, multiple answer, etc. Accepted values - \n- `Bipolar`\n- `Browser`\n- `Captcha`\n- `CompactView`\n- `CS`\n- `D`\n- `DL`\n- `DND`\n- `DragAndDrop`\n- `ESTB`\n- `FORM`\n- `FileUpload`\n- `GRB`\n- `HBAR`\n- `HR`\n- `HSLIDER`\n- `I`\n- `Image`\n- `LikeDislike`\n- `Likert`\n- `MACOL`\n- `MAHR`\n- `MAVR`\n- `ML`\n- `MSB`\n- `MaxDiff`\n- `NPS`\n- `OH`\n- `OnOff`\n- `POS`\n- `PTB`\n- `PW`\n- `PageTimer`\n- `Profile`\n- `RB`\n- `RO`\n- `SACOL`\n- `SAHR`\n- `SAVR`\n- `SB`\n- `SBSMatrix`\n- `SL`\n- `STAR`\n- `ScreenCapture`\n- `SearchOnly`\n- `Signature`\n- `TA`\n- `TB`\n- `TBelow`\n- `TE`\n- `TL`\n- `TRight`\n- `Text`\n- `V1`\n- `V2`\n- `VR`\n- `VRTL`\n- `WTXB`"}, "doc.qualtrics_source.sub_selector": {"name": "sub_selector", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.sub_selector", "block_contents": "How subquestion answers are selected. Allowed values - SingleAnswer, DL, GR, DND, Long, Medium, MultipleAnswer, Columns, NoColumns, Short, TX, TXOT, WOTXB, WOTB, WTB, WTXB, WVTB."}, "doc.qualtrics_source.validation_setting_force_response": {"name": "validation_setting_force_response", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.validation_setting_force_response", "block_contents": "The response from forcing respondents to answer a question or request that they consider answering the question before leaving the page"}, "doc.qualtrics_source.validation_setting_force_response_type": {"name": "validation_setting_force_response_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.validation_setting_force_response_type", "block_contents": "The type of response from forcing respondents to answer a question or request that they consider answering the question before leaving the page"}, "doc.qualtrics_source.validation_setting_type": {"name": "validation_setting_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.validation_setting_type", "block_contents": "The type of forced response validation that is set."}, "doc.qualtrics_source.question_response_fivetran_id": {"name": "question_response_fivetran_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_response_fivetran_id", "block_contents": "Fivetran-generated unique key hashed on `response_id`, `question_id`, `sub_question_key`, `sub_question_text` , `question_option_key` , `loop_id` and `importId`."}, "doc.qualtrics_source.loop_id": {"name": "loop_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.loop_id", "block_contents": "ID of the [Loop and Merge](https://www.qualtrics.com/support/survey-platform/survey-module/block-options/loop-and-merge/) object this response is associated with."}, "doc.qualtrics_source.question": {"name": "question", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question", "block_contents": "Question text."}, "doc.qualtrics_source.question_option_key": {"name": "question_option_key", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_option_key", "block_contents": "The key of the `QUESTION_OPTION` that was chosen."}, "doc.qualtrics_source.sub_question_option_key": {"name": "sub_question_option_key", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.sub_question_option_key", "block_contents": "The key of the `QUESTION_OPTION` that was chosen for the sub-question."}, "doc.qualtrics_source.sub_question_text": {"name": "sub_question_text", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.sub_question_text", "block_contents": "Sub question text."}, "doc.qualtrics_source.response_value": {"name": "response_value", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_value", "block_contents": "Value of the question response."}, "doc.qualtrics_source.recode_value": {"name": "recode_value", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recode_value", "block_contents": "Recode/mapping value for the option."}, "doc.qualtrics_source.question_option_text": {"name": "question_option_text", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.question_option_text", "block_contents": "Question option text."}, "doc.qualtrics_source.distribution_channel": {"name": "distribution_channel", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.distribution_channel", "block_contents": "The method by which the survey was distributed to respondents."}, "doc.qualtrics_source.duration_in_seconds": {"name": "duration_in_seconds", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.duration_in_seconds", "block_contents": "How long it took for the respondent to finish the survey in seconds."}, "doc.qualtrics_source.end_date": {"name": "end_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.end_date", "block_contents": "The point in time when the survey response was finished."}, "doc.qualtrics_source.finished": {"name": "finished", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.finished", "block_contents": "Boolean (stored as int) indicating if the respondent finished and submitted the survey, the value will be 1, otherwise it will be 0."}, "doc.qualtrics_source.response_id": {"name": "response_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_id", "block_contents": "The unique ID for the `SURVEY_RESPONSE`."}, "doc.qualtrics_source.ip_address": {"name": "ip_address", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.ip_address", "block_contents": "IP address of the recipient."}, "doc.qualtrics_source.last_modified_date": {"name": "last_modified_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.last_modified_date", "block_contents": "The point in time when the record was last modified."}, "doc.qualtrics_source.location_latitude": {"name": "location_latitude", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.location_latitude", "block_contents": "The approximate location of the respondent at the time the survey was taken."}, "doc.qualtrics_source.location_longitude": {"name": "location_longitude", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.location_longitude", "block_contents": "The approximate location of the respondent at the time the survey was taken."}, "doc.qualtrics_source.progress": {"name": "progress", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.progress", "block_contents": "How far the respondent has progressed through the survey as a percentage out of 100."}, "doc.qualtrics_source.recipient_email": {"name": "recipient_email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_email", "block_contents": "Email of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample)."}, "doc.qualtrics_source.recipient_first_name": {"name": "recipient_first_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_first_name", "block_contents": "First name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample)."}, "doc.qualtrics_source.recipient_last_name": {"name": "recipient_last_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_last_name", "block_contents": "Last name of the [recipient](https://api.qualtrics.com/ZG9jOjg3NzY2OQ-getting-information-about-distributions#the-recipients-object) if they are a single recipient (not a mailing list or sample)."}, "doc.qualtrics_source.recorded_date": {"name": "recorded_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recorded_date", "block_contents": "The point in time when the survey response was recorded."}, "doc.qualtrics_source.start_date": {"name": "start_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.start_date", "block_contents": "The point in time when the survey response was recorded."}, "doc.qualtrics_source.status": {"name": "status", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.status", "block_contents": "The type of response."}, "doc.qualtrics_source.user_language": {"name": "user_language", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.user_language", "block_contents": "The language of the respondent."}, "doc.qualtrics_source.sub_question_key": {"name": "sub_question_key", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.sub_question_key", "block_contents": "Key of the sub question."}, "doc.qualtrics_source.creation_date": {"name": "creation_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.creation_date", "block_contents": "The creation date and time of the record, expressed as an ISO 8601 value."}, "doc.qualtrics_source.survey_version_description": {"name": "survey_version_description", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_version_description", "block_contents": "A user-provided description of the survey version."}, "doc.qualtrics_source.version_id": {"name": "version_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.version_id", "block_contents": "The unique identifier for this survey version."}, "doc.qualtrics_source.published": {"name": "published", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.published", "block_contents": "Boolean that, when true, publishes the version."}, "doc.qualtrics_source.publisher_user_id": {"name": "publisher_user_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.publisher_user_id", "block_contents": "ID of `USER` who published this survey version in your org."}, "doc.qualtrics_source.version_number": {"name": "version_number", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.version_number", "block_contents": "The version number of this survey."}, "doc.qualtrics_source.was_published": {"name": "was_published", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.was_published", "block_contents": "Boolean that is true if the survey version was published."}, "doc.qualtrics_source.import_id": {"name": "import_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.import_id", "block_contents": "A unique identifier to recognize this import job of embedded survey data."}, "doc.qualtrics_source.key": {"name": "key", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.key", "block_contents": "Key of the embedded survey data element."}, "doc.qualtrics_source.value": {"name": "value", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.value", "block_contents": "Key of the embedded survey data element."}, "doc.qualtrics_source.deduplication_criteria_email": {"name": "deduplication_criteria_email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.deduplication_criteria_email", "block_contents": "Boolean representing if directory contacts are deduped based on email."}, "doc.qualtrics_source.deduplication_criteria_external_data_reference": {"name": "deduplication_criteria_external_data_reference", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.deduplication_criteria_external_data_reference", "block_contents": "Boolean representing if directory contacts are deduped based on an external data reference."}, "doc.qualtrics_source.deduplication_criteria_first_name": {"name": "deduplication_criteria_first_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.deduplication_criteria_first_name", "block_contents": "Boolean representing if directory contacts are deduped based on first name."}, "doc.qualtrics_source.deduplication_criteria_last_name": {"name": "deduplication_criteria_last_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.deduplication_criteria_last_name", "block_contents": "Boolean representing if directory contacts are deduped based on last name."}, "doc.qualtrics_source.deduplication_criteria_phone": {"name": "deduplication_criteria_phone", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.deduplication_criteria_phone", "block_contents": "Boolean representing if directory contacts are deduped based on phone number."}, "doc.qualtrics_source.directory_id": {"name": "directory_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.directory_id", "block_contents": "The directory ID, also known as a pool ID. Example - POOL_012345678901234"}, "doc.qualtrics_source.is_default": {"name": "is_default", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.is_default", "block_contents": "Boolean representing if this directory is the default one for your brand. \n\nThe default directory will be the first directory listed in the dropdown menu in Qualtrics."}, "doc.qualtrics_source.directory_name": {"name": "directory_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.directory_name", "block_contents": "Name of the directory."}, "doc.qualtrics_source.directory_unsubscribe_date": {"name": "directory_unsubscribe_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.directory_unsubscribe_date", "block_contents": "Date and time the user opted out of the directory."}, "doc.qualtrics_source.directory_unsubscribed": {"name": "directory_unsubscribed", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.directory_unsubscribed", "block_contents": "Boolean indicating whether the contact unsubscribed from all contact from the Directory."}, "doc.qualtrics_source.contact_email": {"name": "contact_email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_email", "block_contents": "Contact's email address. Must be in proper email format."}, "doc.qualtrics_source.email_domain": {"name": "email_domain", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.email_domain", "block_contents": "Domain of the contact's email address."}, "doc.qualtrics_source.ext_ref": {"name": "ext_ref", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.ext_ref", "block_contents": "The external reference for the contact."}, "doc.qualtrics_source.contact_first_name": {"name": "contact_first_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_first_name", "block_contents": "Contact's first name."}, "doc.qualtrics_source.contact_id": {"name": "contact_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_id", "block_contents": "The ID for the contact. Example - CID_012345678901234"}, "doc.qualtrics_source.contact_last_name": {"name": "contact_last_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_last_name", "block_contents": "Contact's surname."}, "doc.qualtrics_source.phone": {"name": "phone", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.phone", "block_contents": "Contact's phone number."}, "doc.qualtrics_source.write_blanks": {"name": "write_blanks", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.write_blanks", "block_contents": "Boolean of whether to write blanks(?) or not."}, "doc.qualtrics_source.header_from_email": {"name": "header_from_email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.header_from_email", "block_contents": "Email from address."}, "doc.qualtrics_source.header_from_name": {"name": "header_from_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.header_from_name", "block_contents": "Email from name."}, "doc.qualtrics_source.header_reply_to_email": {"name": "header_reply_to_email", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.header_reply_to_email", "block_contents": "Email reply-to address."}, "doc.qualtrics_source.header_subject": {"name": "header_subject", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.header_subject", "block_contents": "Email subject; text or message id (MS_)."}, "doc.qualtrics_source.distribution_id": {"name": "distribution_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.distribution_id", "block_contents": "The unique Distribution ID."}, "doc.qualtrics_source.message_library_id": {"name": "message_library_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.message_library_id", "block_contents": "Library ID of the message."}, "doc.qualtrics_source.message_message_id": {"name": "message_message_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.message_message_id", "block_contents": "The ID for the desired library message."}, "doc.qualtrics_source.message_message_text": {"name": "message_message_text", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.message_message_text", "block_contents": "Text of the message to send."}, "doc.qualtrics_source.parent_distribution_id": {"name": "parent_distribution_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.parent_distribution_id", "block_contents": "The unique ID of the parent distribution."}, "doc.qualtrics_source.recipient_contact_id": {"name": "recipient_contact_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_contact_id", "block_contents": "The contact ID of the recipient. Can point to `directory_contact` or `core_contact`."}, "doc.qualtrics_source.recipient_library_id": {"name": "recipient_library_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_library_id", "block_contents": "Library ID of the message."}, "doc.qualtrics_source.recipient_mailing_list_id": {"name": "recipient_mailing_list_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_mailing_list_id", "block_contents": "The mailing list or contact group associated with the distribution(s). Can point to `directory_mailing_list` or `core_mailing_list`."}, "doc.qualtrics_source.recipient_sample_id": {"name": "recipient_sample_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.recipient_sample_id", "block_contents": "The ID for the desired sample. Can point to `directory_sample` or `core_sample` (not included in package)."}, "doc.qualtrics_source.request_status": {"name": "request_status", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.request_status", "block_contents": "The distribution's status. States include `Pending` and `Done`. The Pending state is for email that is scheduled to be sent at a later time."}, "doc.qualtrics_source.request_type": {"name": "request_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.request_type", "block_contents": "The distribution's type. Types include `Invite`, `Reminder`, and `ThankYou`."}, "doc.qualtrics_source.send_date": {"name": "send_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.send_date", "block_contents": "The date and time the request will be or was sent (in ISO 8601 format). Note that this date and time could be in the future if the email distribution is scheduled to send after a delay."}, "doc.qualtrics_source.survey_link_expiration_date": {"name": "survey_link_expiration_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_link_expiration_date", "block_contents": "The expiration date for the link associated with the survey distribution. Null if `request_type` != `Invite`."}, "doc.qualtrics_source.survey_link_link_type": {"name": "survey_link_link_type", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_link_link_type", "block_contents": "The link type (`Individual`, `Anonymous`, or `Multiple`) for the link associated with the survey distribution. Null if `request_type` != `Invite`."}, "doc.qualtrics_source.survey_link_survey_id": {"name": "survey_link_survey_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_link_survey_id", "block_contents": "The unique survey ID. Will be non-null even if `request_type` != `Invite`."}, "doc.qualtrics_source.contact_frequency_rule_id": {"name": "contact_frequency_rule_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_frequency_rule_id", "block_contents": "The contact frequency Rule ID. Ex - FQ_AAB234234"}, "doc.qualtrics_source.contact_lookup_id": {"name": "contact_lookup_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.contact_lookup_id", "block_contents": "Optional contact lookup ID for individual distribution."}, "doc.qualtrics_source.opened_at": {"name": "opened_at", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.opened_at", "block_contents": "The time a survey was opened by the respondent, will be null if the survey has not been opened."}, "doc.qualtrics_source.response_completed_at": {"name": "response_completed_at", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_completed_at", "block_contents": "The time a response was completed, will be null for uncompleted surveys."}, "doc.qualtrics_source.distribution_response_id": {"name": "distribution_response_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.distribution_response_id", "block_contents": "The ID of the survey response submitted by this contact. If no survey response has been submitted, this value will be null. If the survey was setup to anonymize responses, then this value will be `Anonymous`."}, "doc.qualtrics_source.response_started_at": {"name": "response_started_at", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.response_started_at", "block_contents": "The time a response was started by the respondent, will be null if survey has not been started."}, "doc.qualtrics_source.sent_at": {"name": "sent_at", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.sent_at", "block_contents": "The time a survey was sent to the respondent."}, "doc.qualtrics_source.distribution_status": {"name": "distribution_status", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.distribution_status", "block_contents": "One of:\n- `Pending` - The distribution is scheduled but has yet to be sent.\n- `Success` - The distribution was successfully delivered to the contact.\n- `Error` - An error occurred while attempting to send the distribution.\n- `Opened` - The distribution was opened by the contact.\n- `Complaint` - The contact complained that the distribution was spam.\n- `Skipped` - The contact was skipped due to contact frequency rules or blacklisted contact information.\n- `Blocked` - The distribution failed to send, because the contact blocked it or the email was caught by the spam circuit breaker.\n- `Failure` - The distribution failed to be delivered.\n- `Unknown` - The distribution failed for an unknown reason.\n- `SoftBounce` - The distribution bounced but can be retried.\n- `HardBounce` - The distribution bounced and should not be retried.\n- `SurveyStarted` - The contact started the survey distributed.\n- `SurveyPartiallyFinished` - The contact submitted a partially completed survey response.\n- `SurveyFinished` - The contact submitted a completed survey response.\n- `SurveyScreenedOut` - The contact screened out while taking the survey.\n- `SessionExpired` - The contact's survey session has expired."}, "doc.qualtrics_source.survey_link": {"name": "survey_link", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_link", "block_contents": "The survey link sent with the distribution. This is null when no link was sent."}, "doc.qualtrics_source.survey_session_id": {"name": "survey_session_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.survey_session_id", "block_contents": "An identifier that represents the session in which the respondent interacted with the survey"}, "doc.qualtrics_source.mailing_list_id": {"name": "mailing_list_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.mailing_list_id", "block_contents": "The ID for the mailing list."}, "doc.qualtrics_source.mailing_list_name": {"name": "mailing_list_name", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.mailing_list_name", "block_contents": "Name of the mailing list."}, "doc.qualtrics_source.mailing_list_unsubscribed": {"name": "mailing_list_unsubscribed", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.mailing_list_unsubscribed", "block_contents": "Boolean indicating whether the contact has opted out of receiving email through this mailing list."}, "doc.qualtrics_source.mailing_list_unsubscribe_date": {"name": "mailing_list_unsubscribe_date", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.mailing_list_unsubscribe_date", "block_contents": "Date and time the user opted out of this mailing list."}, "doc.qualtrics_source.mailing_list_contact_id": {"name": "mailing_list_contact_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.mailing_list_contact_id", "block_contents": "Mailing List Contact ID (different from `contact_id`). ex: `MLRP_*`"}, "doc.qualtrics_source.library_id": {"name": "library_id", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.library_id", "block_contents": "The library ID. Example: `UR_1234567890AbCdE`"}, "doc.qualtrics_source.mailing_list_category": {"name": "mailing_list_category", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.mailing_list_category", "block_contents": "The library ID. Example: `UR_1234567890AbCdE`"}, "doc.qualtrics_source.folder": {"name": "folder", "resource_type": "doc", "package_name": "qualtrics_source", "path": "docs.md", "original_file_path": "models/docs.md", "unique_id": "doc.qualtrics_source.folder", "block_contents": "The folder this is placed in."}}, "exposures": {}, "metrics": {}, "groups": {}, "selectors": {}, "disabled": {}, "parent_map": {"seed.qualtrics_integration_tests.distribution": [], "seed.qualtrics_integration_tests.distribution_contact": [], "seed.qualtrics_integration_tests.core_mailing_list": [], "seed.qualtrics_integration_tests.block": [], "seed.qualtrics_integration_tests.directory_mailing_list": [], "seed.qualtrics_integration_tests.survey_response": [], "seed.qualtrics_integration_tests.block_question": [], "seed.qualtrics_integration_tests.contact_mailing_list_membership": [], "seed.qualtrics_integration_tests.directory": [], "seed.qualtrics_integration_tests.question_response": [], 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diff --git a/docs/run_results.json b/docs/run_results.json
index 2c70720..2645610 100644
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"timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.212344Z", "completed_at": "2023-12-19T20:57:30.221157Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.223171Z", "completed_at": "2023-12-19T20:57:30.223175Z"}], "thread_id": "Thread-3", "execution_time": 0.017833948135375977, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__survey_version_tmp", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`survey_version`", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version_tmp`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.215949Z", "completed_at": "2023-12-19T20:57:30.221928Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.224449Z", "completed_at": "2023-12-19T20:57:30.224453Z"}], "thread_id": "Thread-4", "execution_time": 0.017139911651611328, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__user_tmp", "compiled": true, "compiled_code": "\n    \n    \n        \n        \n        \n         \n            \n        select * \n    from `dbt-package-testing`.`qualtrics_tests`.`user`", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user_tmp`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.229540Z", "completed_at": "2023-12-19T20:57:30.230859Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.236236Z", "completed_at": "2023-12-19T20:57:30.236242Z"}], "thread_id": "Thread-1", "execution_time": 0.010805845260620117, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.block_question", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.231178Z", "completed_at": "2023-12-19T20:57:30.232257Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.236504Z", "completed_at": "2023-12-19T20:57:30.236507Z"}], "thread_id": "Thread-2", "execution_time": 0.010890007019042969, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.contact_mailing_list_membership", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.232771Z", "completed_at": "2023-12-19T20:57:30.233874Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.236984Z", "completed_at": "2023-12-19T20:57:30.236987Z"}], "thread_id": "Thread-3", "execution_time": 0.010924100875854492, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.core_contact", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.234640Z", "completed_at": "2023-12-19T20:57:30.235735Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.238283Z", "completed_at": "2023-12-19T20:57:30.238287Z"}], "thread_id": "Thread-4", "execution_time": 0.010871171951293945, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.core_mailing_list", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.242603Z", "completed_at": "2023-12-19T20:57:30.244490Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.249831Z", "completed_at": "2023-12-19T20:57:30.249837Z"}], "thread_id": "Thread-1", "execution_time": 0.010778188705444336, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.directory", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.244781Z", "completed_at": "2023-12-19T20:57:30.245930Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.250081Z", "completed_at": "2023-12-19T20:57:30.250084Z"}], "thread_id": "Thread-2", "execution_time": 0.010962963104248047, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.directory_contact", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.246502Z", "completed_at": "2023-12-19T20:57:30.247583Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.250540Z", "completed_at": "2023-12-19T20:57:30.250543Z"}], "thread_id": "Thread-3", "execution_time": 0.011081933975219727, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.directory_mailing_list", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.248291Z", "completed_at": "2023-12-19T20:57:30.249353Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.251892Z", "completed_at": "2023-12-19T20:57:30.251896Z"}], "thread_id": "Thread-4", "execution_time": 0.011288166046142578, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.distribution", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.256204Z", "completed_at": "2023-12-19T20:57:30.257343Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.263113Z", "completed_at": "2023-12-19T20:57:30.263117Z"}], "thread_id": "Thread-1", "execution_time": 0.010406255722045898, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.distribution_contact", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.257609Z", "completed_at": "2023-12-19T20:57:30.259371Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.263361Z", "completed_at": "2023-12-19T20:57:30.263365Z"}], "thread_id": "Thread-2", "execution_time": 0.010514259338378906, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.question", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.259848Z", "completed_at": "2023-12-19T20:57:30.260895Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.263818Z", "completed_at": "2023-12-19T20:57:30.263820Z"}], "thread_id": "Thread-3", "execution_time": 0.010621070861816406, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.question_option", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.261607Z", "completed_at": "2023-12-19T20:57:30.262644Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.265041Z", "completed_at": "2023-12-19T20:57:30.265044Z"}], "thread_id": "Thread-4", "execution_time": 0.010783910751342773, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.question_response", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.269450Z", "completed_at": "2023-12-19T20:57:30.270544Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.276281Z", "completed_at": "2023-12-19T20:57:30.276285Z"}], "thread_id": "Thread-1", "execution_time": 0.010469198226928711, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.sub_question", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.270809Z", "completed_at": "2023-12-19T20:57:30.271841Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.276532Z", "completed_at": "2023-12-19T20:57:30.276535Z"}], "thread_id": "Thread-2", "execution_time": 0.010553836822509766, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.survey", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.272310Z", "completed_at": "2023-12-19T20:57:30.273343Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.276988Z", "completed_at": "2023-12-19T20:57:30.276991Z"}], "thread_id": "Thread-3", "execution_time": 0.010679960250854492, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.survey_embedded_data", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.274020Z", "completed_at": "2023-12-19T20:57:30.275803Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.278204Z", "completed_at": "2023-12-19T20:57:30.278207Z"}], "thread_id": "Thread-4", "execution_time": 0.010737895965576172, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.survey_response", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.282597Z", "completed_at": "2023-12-19T20:57:30.283652Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.291372Z", "completed_at": "2023-12-19T20:57:30.291377Z"}], "thread_id": "Thread-1", "execution_time": 0.012702226638793945, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.survey_version", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.283921Z", "completed_at": "2023-12-19T20:57:30.284951Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.291917Z", "completed_at": "2023-12-19T20:57:30.291922Z"}], "thread_id": "Thread-2", "execution_time": 0.012910842895507812, "adapter_response": {}, "message": null, "failures": null, "unique_id": "seed.qualtrics_integration_tests.user", "compiled": null, "compiled_code": null, "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.285418Z", "completed_at": "2023-12-19T20:57:30.664732Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.666785Z", "completed_at": "2023-12-19T20:57:30.666791Z"}], "thread_id": "Thread-3", "execution_time": 0.38699960708618164, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__contact_mailing_list_membership", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    contact_id\n    \n as \n    \n    contact_id\n    \n, \n    \n    \n    contact_lookup_id\n    \n as \n    \n    contact_lookup_id\n    \n, \n    \n    \n    directory_id\n    \n as \n    \n    directory_id\n    \n, \n    \n    \n    mailing_list_id\n    \n as \n    \n    mailing_list_id\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n, \n    \n    \n    unsubscribe_date\n    \n as \n    \n    unsubscribe_date\n    \n, \n    \n    \n    unsubscribed\n    \n as \n    \n    unsubscribed\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        contact_id,\n        contact_lookup_id,\n        directory_id,\n        mailing_list_id,\n        name,\n        owner_id as owner_user_id,\n        unsubscribe_date as unsubscribed_at,\n        unsubscribed as is_unsubscribed,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.300125Z", "completed_at": "2023-12-19T20:57:30.665090Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.667314Z", "completed_at": "2023-12-19T20:57:30.667318Z"}], "thread_id": "Thread-2", "execution_time": 0.37365293502807617, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__block_question", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    block_id\n    \n as \n    \n    block_id\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n    \n    select \n        block_id,\n        question_id,\n        survey_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.296975Z", "completed_at": "2023-12-19T20:57:30.665417Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.667590Z", "completed_at": "2023-12-19T20:57:30.667593Z"}], "thread_id": "Thread-1", "execution_time": 0.3747861385345459, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__core_contact", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    mailing_list_id\n    \n as \n    \n    mailing_list_id\n    \n, \n    \n    \n    first_name\n    \n as \n    \n    first_name\n    \n, \n    \n    \n    last_name\n    \n as \n    \n    last_name\n    \n, \n    \n    \n    email\n    \n as \n    \n    email\n    \n, \n    \n    \n    external_data_reference\n    \n as \n    \n    external_data_reference\n    \n, \n    \n    \n    language\n    \n as \n    \n    language\n    \n, \n    \n    \n    unsubscribed\n    \n as \n    \n    unsubscribed\n    \n, \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n\n\n\n    \n        \n\n\n, cast('' as string) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as contact_id,\n        mailing_list_id,\n        first_name,\n        last_name,\n        lower(email) as email,\n        \n\n  \n    split(\n        email,\n        '@'\n        )[safe_offset(1)]\n  \n\n as email_domain,\n        external_data_reference,\n        language,\n        unsubscribed as is_unsubscribed,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.288527Z", "completed_at": "2023-12-19T20:57:30.665969Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:30.668460Z", "completed_at": "2023-12-19T20:57:30.668463Z"}], "thread_id": "Thread-4", "execution_time": 0.38866090774536133, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__block", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    block_locking\n    \n as \n    \n    block_locking\n    \n, \n    \n    \n    block_visibility\n    \n as \n    \n    block_visibility\n    \n, \n    \n    \n    description\n    \n as \n    \n    description\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    randomize_questions\n    \n as \n    \n    randomize_questions\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    type\n    \n as \n    \n    type\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n\n    from base\n),\n\nfinal as (\n    \n    select \n        block_locking as is_locked,\n        block_visibility,\n        description,\n        id as block_id,\n        randomize_questions,\n        survey_id,\n        type,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.686143Z", "completed_at": "2023-12-19T20:57:31.106957Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.108679Z", "completed_at": "2023-12-19T20:57:31.108688Z"}], "thread_id": "Thread-4", "execution_time": 0.4368312358856201, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__directory", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    deduplication_criteria_email\n    \n as \n    \n    deduplication_criteria_email\n    \n, \n    \n    \n    deduplication_criteria_external_data_reference\n    \n as \n    \n    deduplication_criteria_external_data_reference\n    \n, \n    \n    \n    deduplication_criteria_first_name\n    \n as \n    \n    deduplication_criteria_first_name\n    \n, \n    \n    \n    deduplication_criteria_last_name\n    \n as \n    \n    deduplication_criteria_last_name\n    \n, \n    \n    \n    deduplication_criteria_phone\n    \n as \n    \n    deduplication_criteria_phone\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    is_default\n    \n as \n    \n    is_default\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        deduplication_criteria_email as is_deduped_on_email,\n        deduplication_criteria_external_data_reference as is_deduped_on_ext_ref,\n        deduplication_criteria_first_name as is_deduped_on_first_name,\n        deduplication_criteria_last_name as is_deduped_on_last_name,\n        deduplication_criteria_phone as is_deduped_on_phone,\n        id as directory_id,\n        is_default,\n        name,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.674365Z", "completed_at": "2023-12-19T20:57:31.107853Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.110794Z", "completed_at": "2023-12-19T20:57:31.110800Z"}], "thread_id": "Thread-3", "execution_time": 0.440814733505249, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__directory_contact", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    creation_date\n    \n as \n    \n    creation_date\n    \n, \n    \n    \n    directory_id\n    \n as \n    \n    directory_id\n    \n, \n    \n    \n    directory_unsubscribe_date\n    \n as \n    \n    directory_unsubscribe_date\n    \n, \n    \n    \n    directory_unsubscribed\n    \n as \n    \n    directory_unsubscribed\n    \n, \n    \n    \n    email\n    \n as \n    \n    email\n    \n, \n    \n    \n    email_domain\n    \n as \n    \n    email_domain\n    \n, \n    \n    \n    ext_ref\n    \n as \n    \n    ext_ref\n    \n, \n    \n    \n    first_name\n    \n as \n    \n    first_name\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    language\n    \n as \n    \n    language\n    \n, \n    \n    \n    last_modified\n    \n as \n    \n    last_modified\n    \n, \n    \n    \n    last_name\n    \n as \n    \n    last_name\n    \n, \n    \n    \n    phone\n    \n as \n    \n    phone\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        directory_id,\n        directory_unsubscribe_date as unsubscribed_from_directory_at,\n        directory_unsubscribed as is_unsubscribed_from_directory,\n        lower(email) as email,\n        lower(email_domain) as email_domain,\n        ext_ref,\n        first_name,\n        last_name,\n        REGEXP_REPLACE(phone, '[^0-9]', '') AS phone, -- remove any non-numeric chars\n        id as contact_id,\n        language,\n        last_modified as last_modified_at,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.679387Z", "completed_at": "2023-12-19T20:57:31.108264Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.111449Z", "completed_at": "2023-12-19T20:57:31.111453Z"}], "thread_id": "Thread-1", "execution_time": 0.4406709671020508, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__directory_mailing_list", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    creation_date\n    \n as \n    \n    creation_date\n    \n, \n    \n    \n    directory_id\n    \n as \n    \n    directory_id\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    last_modified_date\n    \n as \n    \n    last_modified_date\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        directory_id,\n        id as mailing_list_id,\n        last_modified_date as last_modified_at,\n        name,\n        owner_id as owner_user_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:30.675393Z", "completed_at": "2023-12-19T20:57:31.109381Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.112927Z", "completed_at": "2023-12-19T20:57:31.112935Z"}], "thread_id": "Thread-2", "execution_time": 0.44254183769226074, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__core_mailing_list", "compiled": true, "compiled_code": "\n\nwith base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    library_id\n    \n as \n    \n    library_id\n    \n, \n    \n    \n    name\n    \n as \n    \n    name\n    \n, \n    \n    \n    category\n    \n as \n    \n    category\n    \n, \n    \n    \n    folder\n    \n as \n    \n    folder\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n        \n    from base\n),\n\nfinal as (\n    \n    select \n        id as mailing_list_id,\n        library_id,\n        name,\n        category,\n        folder,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.130162Z", "completed_at": "2023-12-19T20:57:31.397721Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.398859Z", "completed_at": "2023-12-19T20:57:31.398879Z"}], "thread_id": "Thread-1", "execution_time": 0.28304195404052734, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__question_option", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_option_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    key\n    \n as \n    \n    key\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    recode_value\n    \n as \n    \n    recode_value\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    text\n    \n as \n    \n    text\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        question_id,\n        survey_id,\n        key,\n        recode_value,\n        text,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_option`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.134185Z", "completed_at": "2023-12-19T20:57:31.462553Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.463314Z", "completed_at": "2023-12-19T20:57:31.463323Z"}], "thread_id": "Thread-2", "execution_time": 0.3438079357147217, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__question_response", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_id\n    \n as \n    \n    _fivetran_id\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    loop_id\n    \n as \n    \n    loop_id\n    \n, \n    \n    \n    question\n    \n as \n    \n    question\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    question_option_key\n    \n as \n    \n    question_option_key\n    \n, \n    \n    \n    response_id\n    \n as \n    \n    response_id\n    \n, \n    \n    \n    sub_question_key\n    \n as \n    \n    sub_question_key\n    \n, \n    \n    \n    sub_question_text\n    \n as \n    \n    sub_question_text\n    \n, \n    \n    \n    value\n    \n as \n    \n    value\n    \n\n\n\n        \n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        _fivetran_id,\n        loop_id,\n        question_id,\n        question,\n        question_option_key,\n        response_id,\n        sub_question_key,\n        sub_question_text,\n        value,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.117350Z", "completed_at": "2023-12-19T20:57:31.481412Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.482059Z", "completed_at": "2023-12-19T20:57:31.482066Z"}], "thread_id": "Thread-4", "execution_time": 0.3686788082122803, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__distribution_contact", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    contact_frequency_rule_id\n    \n as \n    \n    contact_frequency_rule_id\n    \n, \n    \n    \n    contact_id\n    \n as \n    \n    contact_id\n    \n, \n    \n    \n    contact_lookup_id\n    \n as \n    \n    contact_lookup_id\n    \n, \n    \n    \n    distribution_id\n    \n as \n    \n    distribution_id\n    \n, \n    \n    \n    opened_at\n    \n as \n    \n    opened_at\n    \n, \n    \n    \n    response_completed_at\n    \n as \n    \n    response_completed_at\n    \n, \n    \n    \n    response_id\n    \n as \n    \n    response_id\n    \n, \n    \n    \n    response_started_at\n    \n as \n    \n    response_started_at\n    \n, \n    \n    \n    sent_at\n    \n as \n    \n    sent_at\n    \n, \n    \n    \n    status\n    \n as \n    \n    status\n    \n, \n    \n    \n    survey_link\n    \n as \n    \n    survey_link\n    \n, \n    \n    \n    survey_session_id\n    \n as \n    \n    survey_session_id\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        contact_frequency_rule_id,\n        contact_id,\n        contact_lookup_id,\n        distribution_id,\n        opened_at,\n        response_completed_at,\n        response_id,\n        response_started_at,\n        sent_at,\n        status,\n        survey_link,\n        survey_session_id,\n        _fivetran_synced,\n        source_relation\n\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.125998Z", "completed_at": "2023-12-19T20:57:31.510539Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.511111Z", "completed_at": "2023-12-19T20:57:31.511117Z"}], "thread_id": "Thread-3", "execution_time": 0.39554286003112793, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__distribution", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    created_date\n    \n as \n    \n    created_date\n    \n, \n    \n    \n    header_from_email\n    \n as \n    \n    header_from_email\n    \n, \n    \n    \n    header_from_name\n    \n as \n    \n    header_from_name\n    \n, \n    \n    \n    header_reply_to_email\n    \n as \n    \n    header_reply_to_email\n    \n, \n    \n    \n    header_subject\n    \n as \n    \n    header_subject\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    message_library_id\n    \n as \n    \n    message_library_id\n    \n, \n    \n    \n    message_message_id\n    \n as \n    \n    message_message_id\n    \n, \n    \n    \n    message_message_text\n    \n as \n    \n    message_message_text\n    \n, \n    \n    \n    modified_date\n    \n as \n    \n    modified_date\n    \n, \n    \n    \n    organization_id\n    \n as \n    \n    organization_id\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n, \n    \n    \n    parent_distribution_id\n    \n as \n    \n    parent_distribution_id\n    \n, \n    \n    \n    recipient_contact_id\n    \n as \n    \n    recipient_contact_id\n    \n, \n    \n    \n    recipient_library_id\n    \n as \n    \n    recipient_library_id\n    \n, \n    \n    \n    recipient_mailing_list_id\n    \n as \n    \n    recipient_mailing_list_id\n    \n, \n    \n    \n    recipient_sample_id\n    \n as \n    \n    recipient_sample_id\n    \n, \n    \n    \n    request_status\n    \n as \n    \n    request_status\n    \n, \n    \n    \n    request_type\n    \n as \n    \n    request_type\n    \n, \n    \n    \n    send_date\n    \n as \n    \n    send_date\n    \n, \n    \n    \n    survey_link_expiration_date\n    \n as \n    \n    survey_link_expiration_date\n    \n, \n    \n    \n    survey_link_link_type\n    \n as \n    \n    survey_link_link_type\n    \n, \n    \n    \n    survey_link_survey_id\n    \n as \n    \n    survey_link_survey_id\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        created_date as created_at,\n        header_from_email,\n        header_from_name,\n        header_reply_to_email,\n        header_subject,\n        id as distribution_id,\n        message_library_id,\n        message_message_id as message_id,\n        message_message_text as message_text,\n        modified_date as last_modified_at,\n        organization_id,\n        owner_id as owner_user_id,\n        parent_distribution_id,\n        recipient_contact_id,\n        recipient_library_id,\n        recipient_mailing_list_id,\n        recipient_sample_id,\n        request_status,\n        request_type,\n        send_date as send_at,\n        survey_link_expiration_date as survey_link_expires_at,\n        survey_link_link_type as survey_link_type,\n        survey_link_survey_id as survey_id,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.402790Z", "completed_at": "2023-12-19T20:57:31.730974Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.731824Z", "completed_at": "2023-12-19T20:57:31.731834Z"}], "thread_id": "Thread-1", "execution_time": 0.33132004737854004, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__question", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    data_export_tag\n    \n as \n    \n    data_export_tag\n    \n, \n    \n    \n    data_visibility_hidden\n    \n as \n    \n    data_visibility_hidden\n    \n, \n    \n    \n    data_visibility_private\n    \n as \n    \n    data_visibility_private\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    next_answer_id\n    \n as \n    \n    next_answer_id\n    \n, \n    \n    \n    next_choice_id\n    \n as \n    \n    next_choice_id\n    \n, \n    \n    \n    question_description\n    \n as \n    \n    question_description\n    \n, \n    \n    \n    question_description_option\n    \n as \n    \n    question_description_option\n    \n, \n    \n    \n    question_text\n    \n as \n    \n    question_text\n    \n, \n    \n    \n    question_text_unsafe\n    \n as \n    \n    question_text_unsafe\n    \n, \n    \n    \n    question_type\n    \n as \n    \n    question_type\n    \n, \n    \n    \n    selector\n    \n as \n    \n    selector\n    \n, \n    \n    \n    sub_selector\n    \n as \n    \n    sub_selector\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    validation_setting_force_response\n    \n as \n    \n    validation_setting_force_response\n    \n, \n    \n    \n    validation_setting_force_response_type\n    \n as \n    \n    validation_setting_force_response_type\n    \n, \n    \n    \n    validation_setting_type\n    \n as \n    \n    validation_setting_type\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        data_export_tag,\n        data_visibility_hidden as is_data_hidden,\n        data_visibility_private as is_data_private,\n        id as question_id,\n        next_answer_id,\n        next_choice_id,\n        question_description,\n        question_description_option,\n        question_text,\n        question_text_unsafe,\n        question_type,\n        selector,\n        sub_selector,\n        survey_id,\n        validation_setting_force_response,\n        validation_setting_force_response_type,\n        validation_setting_type,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.513026Z", "completed_at": "2023-12-19T20:57:31.829257Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.829932Z", "completed_at": "2023-12-19T20:57:31.829939Z"}], "thread_id": "Thread-3", "execution_time": 0.3182520866394043, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__survey_response", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    distribution_channel\n    \n as \n    \n    distribution_channel\n    \n, \n    \n    \n    duration_in_seconds\n    \n as \n    \n    duration_in_seconds\n    \n, \n    \n    \n    end_date\n    \n as \n    \n    end_date\n    \n, \n    \n    \n    finished\n    \n as \n    \n    finished\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    ip_address\n    \n as \n    \n    ip_address\n    \n, \n    \n    \n    last_modified_date\n    \n as \n    \n    last_modified_date\n    \n, \n    \n    \n    location_latitude\n    \n as \n    \n    location_latitude\n    \n, \n    \n    \n    location_longitude\n    \n as \n    \n    location_longitude\n    \n, \n    \n    \n    progress\n    \n as \n    \n    progress\n    \n, \n    \n    \n    recipient_email\n    \n as \n    \n    recipient_email\n    \n, \n    \n    \n    recipient_first_name\n    \n as \n    \n    recipient_first_name\n    \n, \n    \n    \n    recipient_last_name\n    \n as \n    \n    recipient_last_name\n    \n, \n    \n    \n    recorded_date\n    \n as \n    \n    recorded_date\n    \n, \n    \n    \n    start_date\n    \n as \n    \n    start_date\n    \n, \n    \n    \n    status\n    \n as \n    \n    status\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    user_language\n    \n as \n    \n    user_language\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        distribution_channel,\n        duration_in_seconds,\n        end_date as finished_at,\n        cast(finished as boolean) as is_finished,\n        id as response_id,\n        ip_address,\n        last_modified_date as last_modified_at,\n        location_latitude,\n        location_longitude,\n        progress,\n        lower(recipient_email) as recipient_email,\n        recipient_first_name,\n        recipient_last_name,\n        recorded_date,\n        start_date as started_at,\n        status,\n        survey_id,\n        user_language,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.466162Z", "completed_at": "2023-12-19T20:57:31.844083Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.844696Z", "completed_at": "2023-12-19T20:57:31.844702Z"}], "thread_id": "Thread-2", "execution_time": 0.3803391456604004, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__sub_question", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    choice_data_export_tag\n    \n as \n    \n    choice_data_export_tag\n    \n, \n    \n    \n    key\n    \n as \n    \n    key\n    \n, \n    \n    \n    question_id\n    \n as \n    \n    question_id\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    text\n    \n as \n    \n    text\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        choice_data_export_tag,\n        key,\n        question_id,\n        survey_id,\n        text,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.484155Z", "completed_at": "2023-12-19T20:57:31.868701Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.869305Z", "completed_at": "2023-12-19T20:57:31.869311Z"}], "thread_id": "Thread-4", "execution_time": 0.38645386695861816, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__survey_embedded_data", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    import_id\n    \n as \n    \n    import_id\n    \n, \n    \n    \n    key\n    \n as \n    \n    key\n    \n, \n    \n    \n    response_id\n    \n as \n    \n    response_id\n    \n, \n    \n    \n    value\n    \n as \n    \n    value\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        import_id,\n        key,\n        response_id,\n        value,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.871119Z", "completed_at": "2023-12-19T20:57:31.880884Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.881462Z", "completed_at": "2023-12-19T20:57:31.881467Z"}], "thread_id": "Thread-4", "execution_time": 0.011482954025268555, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id__source_relation.943f4b419c", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_lookup_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n    group by contact_lookup_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.883266Z", "completed_at": "2023-12-19T20:57:31.889362Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.889876Z", "completed_at": "2023-12-19T20:57:31.889880Z"}], "thread_id": "Thread-4", "execution_time": 0.007748842239379883, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__contact_mailing_list_membership_contact_lookup_id.32d4d7bbf5", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect contact_lookup_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\nwhere contact_lookup_id is null\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.891539Z", "completed_at": "2023-12-19T20:57:31.896239Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.896746Z", "completed_at": "2023-12-19T20:57:31.896750Z"}], "thread_id": "Thread-4", "execution_time": 0.006253719329833984, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__block_question_block_id__question_id__survey_id__source_relation.2fd7c420b5", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        block_id, question_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question`\n    group by block_id, question_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.898373Z", "completed_at": "2023-12-19T20:57:31.902087Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.902583Z", "completed_at": "2023-12-19T20:57:31.902587Z"}], "thread_id": "Thread-4", "execution_time": 0.0052318572998046875, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__core_contact_contact_id__mailing_list_id__source_relation.fbdaf339c9", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_id, mailing_list_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n    group by contact_id, mailing_list_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.904183Z", "completed_at": "2023-12-19T20:57:31.907169Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.907659Z", "completed_at": "2023-12-19T20:57:31.907663Z"}], "thread_id": "Thread-4", "execution_time": 0.004486083984375, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__block_block_id__survey_id__source_relation.9105cad472", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        block_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block`\n    group by block_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.909254Z", "completed_at": "2023-12-19T20:57:31.912902Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.913433Z", "completed_at": "2023-12-19T20:57:31.913437Z"}], "thread_id": "Thread-4", "execution_time": 0.0052280426025390625, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_directory_id__source_relation.9c637ae3e0", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        directory_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory`\n    group by directory_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.915070Z", "completed_at": "2023-12-19T20:57:31.918131Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.918617Z", "completed_at": "2023-12-19T20:57:31.918621Z"}], "thread_id": "Thread-4", "execution_time": 0.004575967788696289, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__directory_directory_id.65413cdcf7", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect directory_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory`\nwhere directory_id is null\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.932042Z", "completed_at": "2023-12-19T20:57:31.935172Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.935665Z", "completed_at": "2023-12-19T20:57:31.935669Z"}], "thread_id": "Thread-4", "execution_time": 0.004661083221435547, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_contact_contact_id__directory_id__source_relation.a3dc488ebf", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_id, directory_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n    group by contact_id, directory_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.937259Z", "completed_at": "2023-12-19T20:57:31.940291Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.940792Z", "completed_at": "2023-12-19T20:57:31.940796Z"}], "thread_id": "Thread-4", "execution_time": 0.004550933837890625, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__directory_mailing_list_mailing_list_id__directory_id__source_relation.24870adb73", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        mailing_list_id, directory_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`\n    group by mailing_list_id, directory_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.942407Z", "completed_at": "2023-12-19T20:57:31.945475Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.945967Z", "completed_at": "2023-12-19T20:57:31.945971Z"}], "thread_id": "Thread-4", "execution_time": 0.0045948028564453125, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__core_mailing_list_mailing_list_id__source_relation.fcd78a8fd6", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        mailing_list_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`\n    group by mailing_list_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.947537Z", "completed_at": "2023-12-19T20:57:31.951079Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.951565Z", "completed_at": "2023-12-19T20:57:31.951569Z"}], "thread_id": "Thread-4", "execution_time": 0.005023002624511719, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__core_mailing_list_mailing_list_id.344fbdd6dc", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect mailing_list_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`\nwhere mailing_list_id is null\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.953142Z", "completed_at": "2023-12-19T20:57:31.956483Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.959352Z", "completed_at": "2023-12-19T20:57:31.959357Z"}], "thread_id": "Thread-4", "execution_time": 0.007272005081176758, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_option_question_id__survey_id__key__source_relation.af5af3057f", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        question_id, survey_id, key, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_option`\n    group by question_id, survey_id, key, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.963573Z", "completed_at": "2023-12-19T20:57:31.967077Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.967595Z", "completed_at": "2023-12-19T20:57:31.967599Z"}], "thread_id": "Thread-4", "execution_time": 0.007544040679931641, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_response__fivetran_id__source_relation.2e0556a912", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        _fivetran_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response`\n    group by _fivetran_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.969233Z", "completed_at": "2023-12-19T20:57:31.972180Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.972669Z", "completed_at": "2023-12-19T20:57:31.972673Z"}], "thread_id": "Thread-4", "execution_time": 0.004456758499145508, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__question_response__fivetran_id.6e47cc53d7", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect _fivetran_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response`\nwhere _fivetran_id is null\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.974259Z", "completed_at": "2023-12-19T20:57:31.977644Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.978156Z", "completed_at": "2023-12-19T20:57:31.978160Z"}], "thread_id": "Thread-4", "execution_time": 0.004931926727294922, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_contact_contact_id__distribution_id__source_relation.b40826e6b2", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        contact_id, distribution_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n    group by contact_id, distribution_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.979731Z", "completed_at": "2023-12-19T20:57:31.990207Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.990720Z", "completed_at": "2023-12-19T20:57:31.990726Z"}], "thread_id": "Thread-4", "execution_time": 0.012008190155029297, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics.qualtrics__directory", "compiled": true, "compiled_code": "with directory as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory`\n),\n\ndirectory_contact as (\n    \n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ndirectory_mailing_list as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`\n),\n\ndistribution_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\ndistribution as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`\n),\n\nagg_mailing_lists as (\n    \n    select \n        directory_id,\n        source_relation,\n        count(distinct mailing_list_id) as count_mailing_lists\n    \n    from directory_mailing_list\n    where not coalesce(is_deleted, false)\n    group by 1,2\n),\n\nagg_contacts as (\n\n    select \n        directory_id,\n        source_relation,\n        count(distinct email) as count_distinct_emails,\n        count(distinct phone) as count_distinct_phones,\n        count(distinct contact_id) as total_count_contacts,\n        count(distinct case when is_unsubscribed_from_directory then contact_id else null end) as total_count_unsubscribed_contacts,\n        count(distinct case when \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        created_at,\n        day\n    )\n\n\n <= 30 then contact_id else null end) as count_contacts_created_30d,\n        count(distinct case when is_unsubscribed_from_directory and \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        unsubscribed_from_directory_at,\n        day\n    )\n\n\n <= 30 then contact_id else null end) as count_contacts_unsubscribed_30d\n\n    from directory_contact\n    group by 1,2\n),\n\nagg_distributions as (\n-- of contacts sent surveys in the past 30 days, did they open or respond to the surveys?\n    select \n        directory_contact.directory_id,\n        directory_contact.source_relation, \n        count(distinct distribution_contact.contact_id) as count_contacts_sent_survey_30d, \n        count(distinct case when distribution_contact.opened_at is not null then distribution_contact.contact_id end) as count_contacts_opened_survey_30d,\n        count(distinct case when distribution_contact.response_started_at is not null then distribution_contact.contact_id end) as count_contacts_started_survey_30d,\n        count(distinct case when distribution_contact.response_completed_at is not null then distribution_contact.contact_id end) as count_contacts_completed_survey_30d,\n        count(distinct distribution.survey_id) as count_surveys_sent_30d\n        \n    from distribution_contact\n    inner join directory_contact \n        on distribution_contact.contact_id = directory_contact.contact_id\n        and distribution_contact.source_relation = directory_contact.source_relation\n    left join distribution \n        on distribution_contact.distribution_id = distribution.distribution_id \n        and distribution_contact.source_relation = distribution.source_relation\n    where sent_at is not null \n        and \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        distribution_contact.sent_at,\n        day\n    )\n\n\n <= 30\n    \n    group by 1,2\n),\n\nfinal as (\n\n    select \n        directory.*,\n        coalesce(agg_contacts.count_distinct_emails, 0) as count_distinct_emails,\n        coalesce(agg_contacts.count_distinct_phones, 0) as count_distinct_phones,\n        coalesce(agg_contacts.total_count_contacts, 0) as total_count_contacts,\n        coalesce(agg_contacts.total_count_unsubscribed_contacts, 0) as total_count_unsubscribed_contacts,\n        coalesce(agg_contacts.count_contacts_created_30d, 0) as count_contacts_created_30d,\n        coalesce(agg_contacts.count_contacts_unsubscribed_30d, 0) as count_contacts_unsubscribed_30d,\n        coalesce(agg_distributions.count_contacts_sent_survey_30d, 0) as count_contacts_sent_survey_30d,\n        coalesce(agg_distributions.count_contacts_opened_survey_30d, 0) as count_contacts_opened_survey_30d,\n        coalesce(agg_distributions.count_contacts_started_survey_30d, 0) as count_contacts_started_survey_30d,\n        coalesce(agg_distributions.count_contacts_completed_survey_30d, 0) as count_contacts_completed_survey_30d,\n        coalesce(agg_distributions.count_surveys_sent_30d, 0) as count_surveys_sent_30d,\n        coalesce(agg_mailing_lists.count_mailing_lists, 0) as count_mailing_lists\n\n    from directory \n    left join agg_contacts\n        on directory.directory_id = agg_contacts.directory_id\n        and directory.source_relation = agg_contacts.source_relation\n    left join agg_distributions\n        on directory.directory_id = agg_distributions.directory_id\n        and directory.source_relation = agg_distributions.source_relation\n    left join agg_mailing_lists\n        on directory.directory_id = agg_mailing_lists.directory_id\n        and directory.source_relation = agg_mailing_lists.source_relation\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__directory`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.992354Z", "completed_at": "2023-12-19T20:57:31.995763Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:31.996513Z", "completed_at": "2023-12-19T20:57:31.996519Z"}], "thread_id": "Thread-4", "execution_time": 0.005308866500854492, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__distribution_distribution_id__source_relation.312f709e9c", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        distribution_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`\n    group by distribution_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.998460Z", "completed_at": "2023-12-19T20:57:32.001829Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.002346Z", "completed_at": "2023-12-19T20:57:32.002351Z"}], "thread_id": "Thread-4", "execution_time": 0.005116939544677734, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__distribution_distribution_id.6158e414ed", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect distribution_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`\nwhere distribution_id is null\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.004144Z", "completed_at": "2023-12-19T20:57:32.007364Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.007888Z", "completed_at": "2023-12-19T20:57:32.007892Z"}], "thread_id": "Thread-4", "execution_time": 0.004865884780883789, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__question_question_id__survey_id__source_relation.1e5f78924a", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        question_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question`\n    group by question_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.014463Z", "completed_at": "2023-12-19T20:57:32.018944Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.019481Z", "completed_at": "2023-12-19T20:57:32.019486Z"}], "thread_id": "Thread-4", "execution_time": 0.0061299800872802734, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_response_response_id__source_relation.c97ddff72b", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        response_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n    group by response_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.021181Z", "completed_at": "2023-12-19T20:57:32.024250Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.024765Z", "completed_at": "2023-12-19T20:57:32.024769Z"}], "thread_id": "Thread-4", "execution_time": 0.004651784896850586, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__survey_response_response_id.864d3a83e3", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect response_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\nwhere response_id is null\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.033025Z", "completed_at": "2023-12-19T20:57:32.036038Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.036531Z", "completed_at": "2023-12-19T20:57:32.036535Z"}], "thread_id": "Thread-4", "execution_time": 0.004523038864135742, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__sub_question_question_id__survey_id__key__source_relation.12c68e2ef2", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        question_id, survey_id, key, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question`\n    group by question_id, survey_id, key, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.042820Z", "completed_at": "2023-12-19T20:57:32.047595Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.048138Z", "completed_at": "2023-12-19T20:57:32.048143Z"}], "thread_id": "Thread-4", "execution_time": 0.006468057632446289, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_embedded_data_import_id__response_id__key__value__source_relation.73ba345920", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        import_id, response_id, key, value, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`\n    group by import_id, response_id, key, value, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.734780Z", "completed_at": "2023-12-19T20:57:32.097234Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.097765Z", "completed_at": "2023-12-19T20:57:32.097780Z"}], "thread_id": "Thread-1", "execution_time": 0.3646869659423828, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__survey", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    auto_scoring_category\n    \n as \n    \n    auto_scoring_category\n    \n, \n    \n    \n    brand_base_url\n    \n as \n    \n    brand_base_url\n    \n, \n    \n    \n    brand_id\n    \n as \n    \n    brand_id\n    \n, \n    \n    \n    bundle_short_name\n    \n as \n    \n    bundle_short_name\n    \n, \n    \n    \n    composition_type\n    \n as \n    \n    composition_type\n    \n, \n    \n    \n    creator_id\n    \n as \n    \n    creator_id\n    \n, \n    \n    \n    default_scoring_category\n    \n as \n    \n    default_scoring_category\n    \n, \n    \n    \n    division_id\n    \n as \n    \n    division_id\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    last_accessed\n    \n as \n    \n    last_accessed\n    \n, \n    \n    \n    last_activated\n    \n as \n    \n    last_activated\n    \n, \n    \n    \n    last_modified\n    \n as \n    \n    last_modified\n    \n, \n    \n    \n    owner_id\n    \n as \n    \n    owner_id\n    \n, \n    \n    \n    project_category\n    \n as \n    \n    project_category\n    \n, \n    \n    \n    project_type\n    \n as \n    \n    project_type\n    \n, \n    \n    \n    registry_sha\n    \n as \n    \n    registry_sha\n    \n, \n    \n    \n    registry_version\n    \n as \n    \n    registry_version\n    \n, \n    \n    \n    schema_version\n    \n as \n    \n    schema_version\n    \n, \n    \n    \n    scoring_summary_after_questions\n    \n as \n    \n    scoring_summary_after_questions\n    \n, \n    \n    \n    scoring_summary_after_survey\n    \n as \n    \n    scoring_summary_after_survey\n    \n, \n    \n    \n    scoring_summary_category\n    \n as \n    \n    scoring_summary_category\n    \n, \n    \n    \n    survey_name\n    \n as \n    \n    survey_name\n    \n, \n    \n    \n    survey_status\n    \n as \n    \n    survey_status\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        id as survey_id,\n        survey_name,\n        survey_status,\n        brand_base_url,\n        brand_id,\n        bundle_short_name,\n        composition_type,\n        auto_scoring_category,\n        default_scoring_category,\n        division_id,\n        creator_id as creator_user_id,\n        owner_id as owner_user_id,\n        project_category,\n        project_type,\n        registry_sha,\n        registry_version,\n        schema_version,\n        scoring_summary_after_questions,\n        scoring_summary_after_survey,\n        scoring_summary_category,\n        last_accessed as last_accessed_at,\n        last_activated as last_activated_at,\n        last_modified as last_modified_at,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n\n        \n\n\n\n\n\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.049852Z", "completed_at": "2023-12-19T20:57:32.103448Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.103945Z", "completed_at": "2023-12-19T20:57:32.103949Z"}], "thread_id": "Thread-4", "execution_time": 0.055174827575683594, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics.qualtrics__contact", "compiled": true, "compiled_code": "with  __dbt__cte__int_qualtrics__contacts as (\n\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final\n), contacts as (\n\n    select *\n    from __dbt__cte__int_qualtrics__contacts\n),\n\ndirectory as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory`\n),\n\ndistribution_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\ndistribution as (\n-- just to grab survey id \n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`\n),\n\nsurvey_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\ndistribution_response as (\n\n    select\n        distribution_contact.*,\n        distribution.survey_id,\n        survey_response.distribution_channel,\n        survey_response.progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished,\n        survey_response.recorded_date\n\n    from distribution_contact \n    left join distribution\n        on distribution_contact.distribution_id = distribution.distribution_id\n        and distribution_contact.source_relation = distribution.source_relation\n    left join survey_response\n        on distribution_contact.response_id = survey_response.response_id\n        and distribution.survey_id = survey_response.survey_id\n        and distribution_contact.source_relation = survey_response.source_relation\n),\n\nagg_distribution_responses as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when sent_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_sent_email,\n        count(distinct case when sent_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_sent_sms,\n        count(distinct case when opened_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_opened_email,\n        count(distinct case when opened_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_opened_sms,\n        count(distinct case when response_started_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_started_email,\n        count(distinct case when response_started_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_started_sms,\n        count(distinct case when response_completed_at is not null and distribution_channel = 'email' then survey_id end) as count_surveys_completed_email,\n        count(distinct case when response_completed_at is not null and distribution_channel = 'smsinvite' then survey_id end) as count_surveys_completed_sms\n    from distribution_response\n    group by 1,2\n),\n\nagg_survey_responses as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct survey_id) as total_count_surveys,\n        count(distinct case when is_finished then survey_id else null end) as total_count_completed_surveys,\n        avg(progress) as avg_survey_progress_pct,\n        avg(duration_in_seconds) as avg_survey_duration_in_seconds,\n        max(recorded_date) as last_survey_response_recorded_at,\n        min(recorded_date) as first_survey_response_recorded_at\n        \n    from distribution_response\n    group by 1,2\n),\n\ncalc_medians as (\n\n    select \n        contact_id,\n        source_relation,\n        median_survey_duration_in_seconds,\n        median_survey_progress_pct\n        \n    from (\n        select \n            contact_id, \n            source_relation,\n            \n\n    percentile_cont( \n        duration_in_seconds, \n        0.5) \n        over (partition by contact_id,source_relation    \n        )\n\n as median_survey_duration_in_seconds,\n            \n\n    percentile_cont( \n        progress, \n        0.5) \n        over (partition by contact_id,source_relation    \n        )\n\n as median_survey_progress_pct\n\n        from distribution_response\n         -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n     group by 1,2,3,4  -- roll up if using window function\n),\n\nfinal as (\n    \n    select \n        contacts.*,\n        coalesce(agg_distribution_responses.count_surveys_sent_email, 0) as count_surveys_sent_email,\n        coalesce(agg_distribution_responses.count_surveys_sent_sms, 0) as count_surveys_sent_sms,\n        coalesce(agg_distribution_responses.count_surveys_opened_email, 0) as count_surveys_opened_email,\n        coalesce(agg_distribution_responses.count_surveys_opened_sms, 0) as count_surveys_opened_sms,\n        coalesce(agg_distribution_responses.count_surveys_started_email, 0) as count_surveys_started_email,\n        coalesce(agg_distribution_responses.count_surveys_started_sms, 0) as count_surveys_started_sms,\n        coalesce(agg_distribution_responses.count_surveys_completed_email, 0) as count_surveys_completed_email,\n        coalesce(agg_distribution_responses.count_surveys_completed_sms, 0) as count_surveys_completed_sms,\n        coalesce(agg_survey_responses.total_count_surveys, 0) as total_count_surveys,\n        coalesce(agg_survey_responses.total_count_completed_surveys, 0) as total_count_completed_surveys,\n        agg_survey_responses.avg_survey_progress_pct,\n        agg_survey_responses.avg_survey_duration_in_seconds,\n        calc_medians.median_survey_progress_pct,\n        calc_medians.median_survey_duration_in_seconds,\n        agg_survey_responses.last_survey_response_recorded_at,\n        agg_survey_responses.first_survey_response_recorded_at,\n        directory.name as directory_name,\n        directory.is_default as is_in_default_directory,\n        directory.is_deleted as is_directory_deleted\n\n    from contacts\n    left join agg_survey_responses\n        on contacts.contact_id = agg_survey_responses.contact_id\n        and contacts.source_relation = agg_survey_responses.source_relation\n    left join agg_distribution_responses\n        on contacts.contact_id = agg_distribution_responses.contact_id\n        and contacts.source_relation = agg_distribution_responses.source_relation\n    left join directory\n        on contacts.directory_id = directory.directory_id \n        and contacts.source_relation = directory.source_relation\n    left join calc_medians\n        on contacts.contact_id = calc_medians.contact_id\n        and contacts.source_relation = calc_medians.source_relation\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__contact`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.099480Z", "completed_at": "2023-12-19T20:57:32.108903Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.109397Z", "completed_at": "2023-12-19T20:57:32.109401Z"}], "thread_id": "Thread-1", "execution_time": 0.010972976684570312, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__directory_source_relation__directory_id.21547652b0", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, directory_id\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__directory`\n    group by source_relation, directory_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.105722Z", "completed_at": "2023-12-19T20:57:32.113914Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.114521Z", "completed_at": "2023-12-19T20:57:32.114525Z"}], "thread_id": "Thread-4", "execution_time": 0.009882926940917969, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_survey_id__source_relation.a1fd5a2968", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`\n    group by survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.110994Z", "completed_at": "2023-12-19T20:57:32.116206Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.135280Z", "completed_at": "2023-12-19T20:57:32.135287Z"}], "thread_id": "Thread-1", "execution_time": 0.02536177635192871, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__survey_survey_id.2796651e04", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect survey_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`\nwhere survey_id is null\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.116471Z", "completed_at": "2023-12-19T20:57:32.141916Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.142414Z", "completed_at": "2023-12-19T20:57:32.142418Z"}], "thread_id": "Thread-4", "execution_time": 0.027254104614257812, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics.qualtrics__response", "compiled": true, "compiled_code": "with  __dbt__cte__int_qualtrics__responses as (\nwith question_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_response`\n),\n\nsurvey_response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\nresponse_join as (\n\n    select \n        question_response._fivetran_id as question_response_id,\n        question_response.response_id as survey_response_id,\n        survey_response.survey_id,\n        question_response.question_id,\n        question_response.question as question_text,\n        question_response.sub_question_key,\n        question_response.sub_question_text,\n        question_response.question_option_key,\n        question_response.value,\n        question_response.loop_id,\n        survey_response.distribution_channel,\n        survey_response.status as survey_response_status,\n        survey_response.progress as survey_progress,\n        survey_response.duration_in_seconds,\n        survey_response.is_finished as is_finished_with_survey,\n        survey_response.finished_at as survey_finished_at,\n        survey_response.last_modified_at as survey_response_last_modified_at,\n        survey_response.recorded_date as survey_response_recorded_at,\n        survey_response.started_at as survey_response_started_at,\n        survey_response.recipient_email,\n        survey_response.recipient_first_name,\n        survey_response.recipient_last_name,\n        survey_response.user_language,\n        survey_response.ip_address,\n        survey_response.location_latitude,\n        survey_response.location_longitude,\n        question_response.source_relation\n    \n    from question_response \n    inner join survey_response -- every question response will belong to an overall \"survey response\"\n        on question_response.response_id = survey_response.response_id\n        and question_response.source_relation = survey_response.source_relation\n        \n)\n\nselect *\nfrom response_join\n),  __dbt__cte__int_qualtrics__question as (\nwith question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question`\n),\n\nblock_question as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block_question`\n    where not coalesce(is_deleted, false) -- lets get rid of deleted questions\n),\n\nblock as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__block`\n),\n\nsub_question as (\n    \n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__sub_question`\n),\n\nquestion_join as (\n\n    select\n        question.question_id,\n        \n\n  \n    split(\n        question.question_id,\n        '#'\n        )[safe_offset(0)]\n  \n\n as parent_question_id,\n        question.question_text,\n        question.survey_id,\n        question.question_description,\n        question.question_description_option,\n        sub_question.key as sub_question_key,\n        sub_question.text as sub_question_text,\n        question.question_type,\n        question.selector,\n        question.sub_selector,\n        question.is_data_hidden,\n        question.is_data_private,\n        question.is_deleted as is_question_deleted,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.data_export_tag,\n        sub_question.choice_data_export_tag,\n        block.block_id,\n        block.description as block_description,\n        block.randomize_questions as block_question_randomization,\n        block.type as block_type,\n        block.block_visibility,\n        block.is_locked as is_block_locked,\n        block.is_deleted as is_block_deleted,\n        question.next_answer_id,\n        question.next_choice_id,\n        question.source_relation\n\n    from question\n    left join sub_question\n        on question.question_id = sub_question.question_id \n        and question.survey_id = sub_question.survey_id\n        and question.source_relation = sub_question.source_relation\n    \n    left join block_question\n        on question.question_id = block_question.question_id\n        and question.survey_id = block_question.survey_id\n        and question.source_relation = block_question.source_relation\n\n    left join block\n        on block_question.block_id = block.block_id\n        and block_question.survey_id = block.survey_id\n        and block_question.source_relation = block.source_relation\n\n)\n\nselect *\nfrom question_join\n),  __dbt__cte__int_qualtrics__survey_embedded_data as (\nwith survey_embedded_data as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_embedded_data`\n),\n\njsonify as (\n\n    select\n        response_id, -- survey_response\n        source_relation,\n        '{' || \n    string_agg(key || ':' || value, ', ')\n\n || '}' as embedded_data\n    from survey_embedded_data\n    group by 1,2\n)\n\nselect \n    response_id,\n    source_relation,\n    embedded_data\nfrom jsonify \ngroup by 1,2,3\n),  __dbt__cte__int_qualtrics__contacts as (\n\nwith directory_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \ncount_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\n-- in XM directory a contact can belong to multiple mailing lists within a directory\n-- need to split counts and string_aggs on redshift \nagg_mailing_lists as (\n\n    select \n        directory_id,\n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from contact_mailing_list_membership\n    group by 1,2,3\n),\n\ndirectory_contact_join as (\n\n    select\n        directory_contact.*,\n        count_mailing_lists.count_mailing_lists_subscribed_to,\n        count_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_mailing_lists.mailing_list_ids\n    from directory_contact\n    left join agg_mailing_lists\n        on directory_contact.contact_id = agg_mailing_lists.contact_id\n        and directory_contact.directory_id = agg_mailing_lists.directory_id \n        and directory_contact.source_relation = agg_mailing_lists.source_relation\n    left join count_mailing_lists\n        on directory_contact.contact_id = count_mailing_lists.contact_id\n        and directory_contact.directory_id = count_mailing_lists.directory_id \n        and directory_contact.source_relation = count_mailing_lists.source_relation\n),\n\n\ncore_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_contact`\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \ncount_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        count(distinct case when not is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_subscribed_to,\n        count(distinct case when is_unsubscribed then mailing_list_id else null end) as count_mailing_lists_unsubscribed_from\n\n    from core_contact\n    group by 1,2\n),\n\n-- Roll up mailing lists since contacts in the XM directory endpoint can belong to multiple (or none)\n-- need to split counts and string_aggs on redshift \nagg_core_mailing_lists as (\n\n    select \n        contact_id,\n        source_relation,\n        \n    string_agg(mailing_list_id, ', ')\n\n as mailing_list_ids\n\n    from core_contact\n    group by 1,2\n),\n\ncore_contact_join  as (\n\n    select\n        core_contact.*,\n        count_core_mailing_lists.count_mailing_lists_subscribed_to,\n        count_core_mailing_lists.count_mailing_lists_unsubscribed_from,\n        agg_core_mailing_lists.mailing_list_ids\n    from core_contact\n    left join agg_core_mailing_lists\n        on core_contact.contact_id = agg_core_mailing_lists.contact_id\n        and core_contact.source_relation = agg_core_mailing_lists.source_relation\n    left join count_core_mailing_lists\n        on core_contact.contact_id = count_core_mailing_lists.contact_id\n        and core_contact.source_relation = count_core_mailing_lists.source_relation\n),\n\nfinal as (\n\n    select\n        contact_id,\n        false as is_xm_directory_contact,\n        true as is_research_core_contact,\n        null as directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        external_data_reference,\n        language,\n        null as is_unsubscribed_from_directory,\n        null as unsubscribed_from_directory_at,\n        null as last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        _fivetran_synced as created_at,\n        source_relation\n\n        \n\n        \n\n\n\n\n\n\n    from core_contact_join\n    union all \n\n\n\n    select\n        contact_id,\n        true as is_xm_directory_contact,\n        false as is_research_core_contact,\n        directory_id,\n        email,\n        email_domain,\n        first_name,\n        last_name,\n        ext_ref as external_data_reference,\n        language,\n        is_unsubscribed_from_directory,\n        unsubscribed_from_directory_at,\n        last_modified_at,\n        mailing_list_ids,\n        count_mailing_lists_subscribed_to,\n        count_mailing_lists_unsubscribed_from,\n        created_at,\n        source_relation\n        \n\n\n\n\n\n        \n\n    from directory_contact_join\n)\n\nselect *\nfrom final\n), response as (\n    -- will probably move the logic from this int model to the end model directly \n    select *\n    from __dbt__cte__int_qualtrics__responses\n),\n\nquestion_option as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question_option`\n),\n\nquestion as (\n\n    select *\n    from __dbt__cte__int_qualtrics__question\n),\n\nsurvey as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`\n),\n\nembedded_data as (\n\n    select *\n    from __dbt__cte__int_qualtrics__survey_embedded_data\n),\n\ncontacts as (\n\n    select *\n    from __dbt__cte__int_qualtrics__contacts\n),\n\nrollup_contacts as (\n\n    select \n        email,\n        source_relation,\n        max(email_domain) as email_domain,\n        max(first_name) as first_name,\n        max(last_name) as last_name,\n        max(language) as language,\n        max(external_data_reference) as external_data_reference,\n        \n\n    max( is_xm_directory_contact )\n\n as is_xm_directory_contact,\n        \n\n    max( is_research_core_contact )\n\n as is_research_core_contact\n\n    from contacts\n    group by 1,2\n),\n\nfinal as (\n\n    select \n        response.*,\n        question_option.recode_value,\n        question_option.text as question_option_text,\n        rollup_contacts.first_name,\n        rollup_contacts.last_name,\n        rollup_contacts.email_domain,\n        rollup_contacts.language as contact_language,\n        rollup_contacts.external_data_reference as contact_external_data_reference,\n        rollup_contacts.is_xm_directory_contact,\n        rollup_contacts.is_research_core_contact,\n\n        embedded_data.embedded_data,\n        survey.survey_name,\n        survey.survey_status,\n        survey.project_category,\n        survey.project_type,\n        survey.brand_base_url,\n        \n        -- most question fields are included, as there is no question end model. join with `int_qualtrics__question` to bring in more\n        question.question_description,\n        question.question_type,\n        question.block_id,\n        question.block_description,\n        question.block_question_randomization,\n        question.block_type,\n        question.block_visibility,\n        question.validation_setting_force_response,\n        question.validation_setting_force_response_type,\n        question.validation_setting_type,\n        question.is_question_deleted,\n        question.is_block_deleted\n\n    from response\n\n    left join question\n        on response.question_id = question.question_id\n        and response.survey_id = question.survey_id\n        and response.sub_question_key = question.sub_question_key\n        and response.source_relation = question.source_relation\n\n    left join question_option\n        on response.question_id = question_option.question_id \n        and response.survey_id = question_option.survey_id\n        and response.question_option_key = question_option.key\n        and response.source_relation = question_option.source_relation\n\n    left join survey\n        on response.survey_id = survey.survey_id\n        and response.source_relation = survey.source_relation\n\n    left join embedded_data\n        on response.survey_response_id = embedded_data.response_id\n        and response.source_relation = embedded_data.source_relation\n\n    left join rollup_contacts \n        on response.recipient_email = rollup_contacts.email\n        and response.source_relation = rollup_contacts.source_relation\n\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__response`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.136941Z", "completed_at": "2023-12-19T20:57:32.143182Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.143755Z", "completed_at": "2023-12-19T20:57:32.143758Z"}], "thread_id": "Thread-1", "execution_time": 0.008112192153930664, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__contact_source_relation__directory_id__contact_id.b3bb833816", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, directory_id, contact_id\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__contact`\n    group by source_relation, directory_id, contact_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.152627Z", "completed_at": "2023-12-19T20:57:32.162256Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.162780Z", "completed_at": "2023-12-19T20:57:32.162785Z"}], "thread_id": "Thread-1", "execution_time": 0.017612934112548828, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__response_source_relation__survey_response_id__question_response_id__sub_question_key.af535210ca", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, survey_response_id, question_response_id, sub_question_key\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__response`\n    group by source_relation, survey_response_id, question_response_id, sub_question_key\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.832230Z", "completed_at": "2023-12-19T20:57:32.178193Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.178704Z", "completed_at": "2023-12-19T20:57:32.178709Z"}], "thread_id": "Thread-3", "execution_time": 0.3478667736053467, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__survey_version", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    creation_date\n    \n as \n    \n    creation_date\n    \n, \n    \n    \n    description\n    \n as \n    \n    description\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    published\n    \n as \n    \n    published\n    \n, \n    \n    \n    survey_id\n    \n as \n    \n    survey_id\n    \n, \n    \n    \n    user_id\n    \n as \n    \n    user_id\n    \n, \n    \n    \n    version_number\n    \n as \n    \n    version_number\n    \n, \n    \n    \n    was_published\n    \n as \n    \n    was_published\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        creation_date as created_at,\n        description as version_description,\n        id as version_id,\n        published as is_published,\n        survey_id,\n        user_id as publisher_user_id,\n        version_number,\n        was_published,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n        \n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.180695Z", "completed_at": "2023-12-19T20:57:32.184407Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.184939Z", "completed_at": "2023-12-19T20:57:32.184943Z"}], "thread_id": "Thread-1", "execution_time": 0.005418062210083008, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__survey_version_version_id__survey_id__source_relation.513ef528c1", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        version_id, survey_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version`\n    group by version_id, survey_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:31.846961Z", "completed_at": "2023-12-19T20:57:32.265667Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.266270Z", "completed_at": "2023-12-19T20:57:32.266275Z"}], "thread_id": "Thread-2", "execution_time": 0.42077207565307617, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics_source.stg_qualtrics__user", "compiled": true, "compiled_code": "with base as (\n\n    select * \n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user_tmp`\n),\n\nfields as (\n\n    select\n        \n    \n    \n    _fivetran_deleted\n    \n as \n    \n    _fivetran_deleted\n    \n, \n    \n    \n    _fivetran_synced\n    \n as \n    \n    _fivetran_synced\n    \n, \n    \n    \n    account_creation_date\n    \n as \n    \n    account_creation_date\n    \n, \n    \n    \n    account_expiration_date\n    \n as \n    \n    account_expiration_date\n    \n, \n    \n    \n    account_status\n    \n as \n    \n    account_status\n    \n, \n    \n    \n    division_id\n    \n as \n    \n    division_id\n    \n, \n    \n    \n    email\n    \n as \n    \n    email\n    \n, \n    \n    \n    first_name\n    \n as \n    \n    first_name\n    \n, \n    \n    \n    id\n    \n as \n    \n    id\n    \n, \n    \n    \n    language\n    \n as \n    \n    language\n    \n, \n    \n    \n    last_login_date\n    \n as \n    \n    last_login_date\n    \n, \n    \n    \n    last_name\n    \n as \n    \n    last_name\n    \n, \n    \n    \n    organization_id\n    \n as \n    \n    organization_id\n    \n, \n    \n    \n    password_expiration_date\n    \n as \n    \n    password_expiration_date\n    \n, \n    \n    \n    password_last_changed_date\n    \n as \n    \n    password_last_changed_date\n    \n, \n    \n    \n    response_count_auditable\n    \n as \n    \n    response_count_auditable\n    \n, \n    \n    \n    response_count_deleted\n    \n as \n    \n    response_count_deleted\n    \n, \n    \n    \n    response_count_generated\n    \n as \n    \n    response_count_generated\n    \n, \n    \n    \n    time_zone\n    \n as \n    \n    time_zone\n    \n, \n    \n    \n    unsubscribed\n    \n as \n    \n    unsubscribed\n    \n, \n    \n    \n    user_type\n    \n as \n    \n    user_type\n    \n, \n    \n    \n    username\n    \n as \n    \n    username\n    \n\n\n\n\n        \n\n\n, cast('' as string) as source_relation\n\n\n\n            \n    from base\n),\n\nfinal as (\n    \n    select \n        account_creation_date as account_created_at,\n        account_expiration_date as account_expires_at,\n        account_status,\n        division_id,\n        email,\n        first_name,\n        id as user_id,\n        language,\n        last_login_date as last_login_at,\n        last_name,\n        organization_id,\n        password_expiration_date as password_expires_at,\n        password_last_changed_date as password_last_changed_at,\n        response_count_auditable,\n        response_count_deleted,\n        response_count_generated,\n        time_zone,\n        unsubscribed as is_unsubscribed,\n        user_type,\n        username,\n        _fivetran_deleted as is_deleted,\n        _fivetran_synced,\n        source_relation\n    from fields\n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.284625Z", "completed_at": "2023-12-19T20:57:32.289040Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.290879Z", "completed_at": "2023-12-19T20:57:32.290884Z"}], "thread_id": "Thread-2", "execution_time": 0.0225830078125, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.dbt_utils_unique_combination_of_columns_stg_qualtrics__user_user_id__source_relation.73c4de157d", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        user_id, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`\n    group by user_id, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.274404Z", "completed_at": "2023-12-19T20:57:32.289578Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.291405Z", "completed_at": "2023-12-19T20:57:32.291408Z"}], "thread_id": "Thread-1", "execution_time": 0.027352094650268555, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics.qualtrics__distribution", "compiled": true, "compiled_code": "with distribution as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution`\n),\n\nqualtrics_user as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`\n),\n\ndirectory_mailing_list as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__directory_mailing_list`\n),\n\n\ncore_mailing_list as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__core_mailing_list`\n),\n\n\ndistribution_contact as (\n\n    select \n        *,\n        -- all relative to sent_at (should response be relative to opened_at?)\n        \n  \n\n    timestamp_diff(\n        opened_at,\n        sent_at,\n        second\n    )\n\n\n as time_to_open_in_seconds,\n        \n  \n\n    timestamp_diff(\n        response_started_at,\n        sent_at,\n        second\n    )\n\n\n as time_to_start_in_seconds,\n        \n  \n\n    timestamp_diff(\n        response_completed_at,\n        sent_at,\n        second\n    )\n\n\n as time_to_complete_in_seconds\n\n\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\npivoted_metrics as (\n\n    select \n        distribution_id,\n        source_relation,\n        -- current metrics\n        \n        sum(case when lower(status) = 'pending' then 1 else 0 end) as current_count_surveys_pending,\n        \n        sum(case when lower(status) = 'success' then 1 else 0 end) as current_count_surveys_success,\n        \n        sum(case when lower(status) = 'error' then 1 else 0 end) as current_count_surveys_error,\n        \n        sum(case when lower(status) = 'opened' then 1 else 0 end) as current_count_surveys_opened,\n        \n        sum(case when lower(status) = 'complaint' then 1 else 0 end) as current_count_surveys_complaint,\n        \n        sum(case when lower(status) = 'skipped' then 1 else 0 end) as current_count_surveys_skipped,\n        \n        sum(case when lower(status) = 'blocked' then 1 else 0 end) as current_count_surveys_blocked,\n        \n        sum(case when lower(status) = 'failure' then 1 else 0 end) as current_count_surveys_failure,\n        \n        sum(case when lower(status) = 'unknown' then 1 else 0 end) as current_count_surveys_unknown,\n        \n        sum(case when lower(status) = 'softbounce' then 1 else 0 end) as current_count_surveys_softbounce,\n        \n        sum(case when lower(status) = 'hardbounce' then 1 else 0 end) as current_count_surveys_hardbounce,\n        \n        sum(case when lower(status) = 'surveystarted' then 1 else 0 end) as current_count_surveys_surveystarted,\n        \n        sum(case when lower(status) = 'surveypartiallyfinished' then 1 else 0 end) as current_count_surveys_surveypartiallyfinished,\n        \n        sum(case when lower(status) = 'surveyfinished' then 1 else 0 end) as current_count_surveys_surveyfinished,\n        \n        sum(case when lower(status) = 'surveyscreenedout' then 1 else 0 end) as current_count_surveys_surveyscreenedout,\n        \n        sum(case when lower(status) = 'sessionexpired' then 1 else 0 end) as current_count_surveys_sessionexpired,\n        \n        count(distinct contact_id) as total_count_contacts,\n        count(distinct case when sent_at is not null then contact_id else null end) as count_contacts_sent_surveys,\n        count(distinct case when opened_at is not null then contact_id else null end) as count_contacts_opened_surveys,\n        count(distinct case when response_started_at is not null then contact_id else null end) as count_contacts_started_surveys,\n        count(distinct case when response_completed_at is not null then contact_id else null end) as count_contacts_completed_surveys,\n        min(sent_at) as first_survey_sent_at,\n        max(sent_at) as last_survey_sent_at,\n        min(opened_at) as first_survey_opened_at,\n        max(opened_at) as last_survey_opened_at,\n        min(response_completed_at) as first_response_completed_at,\n        max(response_completed_at) as last_response_completed_at,\n        avg(time_to_open_in_seconds) as avg_time_to_open_in_seconds,\n        avg(time_to_start_in_seconds) as avg_time_to_start_in_seconds,\n        avg(time_to_complete_in_seconds) as avg_time_to_complete_in_seconds\n\n    from distribution_contact\n    group by 1,2\n),\n\ncalc_medians as (\n    \n    select \n        distribution_id,\n        source_relation,\n        median_time_to_open_in_seconds,\n        median_time_to_start_in_seconds,\n        median_time_to_complete_in_seconds\n    from (\n        select \n            distribution_id, \n            source_relation,\n            \n\n    percentile_cont( \n        time_to_open_in_seconds, \n        0.5) \n        over (partition by distribution_id,source_relation    \n        )\n\n as median_time_to_open_in_seconds,\n            \n\n    percentile_cont( \n        time_to_start_in_seconds, \n        0.5) \n        over (partition by distribution_id,source_relation    \n        )\n\n as median_time_to_start_in_seconds,\n            \n\n    percentile_cont( \n        time_to_complete_in_seconds, \n        0.5) \n        over (partition by distribution_id,source_relation    \n        )\n\n as median_time_to_complete_in_seconds\n\n        from distribution_contact\n         -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n     group by 1,2,3,4,5  -- roll up if using window function\n),\n\nfinal as (\n\n    select \n        distribution.*,\n        parent_distribution.header_subject as parent_distribution_header_subject,\n        coalesce(directory_mailing_list.name, core_mailing_list.name) as recipient_mailing_list_name,\n        qualtrics_user.email as owner_email,\n        qualtrics_user.first_name as owner_first_name,\n        qualtrics_user.last_name as owner_last_name,\n        \n        coalesce(pivoted_metrics.current_count_surveys_pending, 0) as current_count_surveys_pending,\n        \n        coalesce(pivoted_metrics.current_count_surveys_success, 0) as current_count_surveys_success,\n        \n        coalesce(pivoted_metrics.current_count_surveys_error, 0) as current_count_surveys_error,\n        \n        coalesce(pivoted_metrics.current_count_surveys_opened, 0) as current_count_surveys_opened,\n        \n        coalesce(pivoted_metrics.current_count_surveys_complaint, 0) as current_count_surveys_complaint,\n        \n        coalesce(pivoted_metrics.current_count_surveys_skipped, 0) as current_count_surveys_skipped,\n        \n        coalesce(pivoted_metrics.current_count_surveys_blocked, 0) as current_count_surveys_blocked,\n        \n        coalesce(pivoted_metrics.current_count_surveys_failure, 0) as current_count_surveys_failure,\n        \n        coalesce(pivoted_metrics.current_count_surveys_unknown, 0) as current_count_surveys_unknown,\n        \n        coalesce(pivoted_metrics.current_count_surveys_softbounce, 0) as current_count_surveys_softbounce,\n        \n        coalesce(pivoted_metrics.current_count_surveys_hardbounce, 0) as current_count_surveys_hardbounce,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveystarted, 0) as current_count_surveys_surveystarted,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveypartiallyfinished, 0) as current_count_surveys_surveypartiallyfinished,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveyfinished, 0) as current_count_surveys_surveyfinished,\n        \n        coalesce(pivoted_metrics.current_count_surveys_surveyscreenedout, 0) as current_count_surveys_surveyscreenedout,\n        \n        coalesce(pivoted_metrics.current_count_surveys_sessionexpired, 0) as current_count_surveys_sessionexpired,\n        \n        coalesce(pivoted_metrics.total_count_contacts, 0) as total_count_contacts,\n        coalesce(pivoted_metrics.count_contacts_sent_surveys, 0) as count_contacts_sent_surveys,\n        coalesce(pivoted_metrics.count_contacts_opened_surveys, 0) as count_contacts_opened_surveys,\n        coalesce(pivoted_metrics.count_contacts_started_surveys, 0) as count_contacts_started_surveys,\n        coalesce(pivoted_metrics.count_contacts_completed_surveys, 0) as count_contacts_completed_surveys,\n        pivoted_metrics.first_survey_sent_at,\n        pivoted_metrics.last_survey_sent_at,\n        pivoted_metrics.first_survey_opened_at,\n        pivoted_metrics.last_survey_opened_at,\n        pivoted_metrics.first_response_completed_at,\n        pivoted_metrics.last_response_completed_at,\n        pivoted_metrics.avg_time_to_open_in_seconds,\n        pivoted_metrics.avg_time_to_start_in_seconds,\n        pivoted_metrics.avg_time_to_complete_in_seconds,\n        calc_medians.median_time_to_open_in_seconds,\n        calc_medians.median_time_to_start_in_seconds,\n        calc_medians.median_time_to_complete_in_seconds\n\n    from distribution\n    left join qualtrics_user \n        on distribution.owner_user_id = qualtrics_user.user_id \n        and distribution.source_relation = qualtrics_user.source_relation\n    left join distribution as parent_distribution\n        on distribution.parent_distribution_id = parent_distribution.distribution_id\n        and distribution.source_relation = parent_distribution.source_relation\n    left join pivoted_metrics \n        on distribution.distribution_id = pivoted_metrics.distribution_id \n        and distribution.source_relation = pivoted_metrics.source_relation\n    left join calc_medians \n        on distribution.distribution_id = calc_medians.distribution_id \n        and distribution.source_relation = calc_medians.source_relation\n    left join directory_mailing_list\n        on distribution.recipient_mailing_list_id = directory_mailing_list.mailing_list_id\n        and distribution.source_relation = directory_mailing_list.source_relation\n    \n    left join core_mailing_list\n        on distribution.recipient_mailing_list_id = core_mailing_list.mailing_list_id\n        and distribution.source_relation = core_mailing_list.source_relation\n    \n)\n\nselect *\nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__distribution`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.292182Z", "completed_at": "2023-12-19T20:57:32.324738Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.325283Z", "completed_at": "2023-12-19T20:57:32.325289Z"}], "thread_id": "Thread-3", "execution_time": 0.04843401908874512, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics_source.not_null_stg_qualtrics__user_user_id.816e912ff9", "compiled": true, "compiled_code": "\n    \n    \n\n\n\nselect user_id\nfrom `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`\nwhere user_id is null\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.304019Z", "completed_at": "2023-12-19T20:57:32.331806Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.349220Z", "completed_at": "2023-12-19T20:57:32.349225Z"}], "thread_id": "Thread-1", "execution_time": 0.04629206657409668, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__distribution_source_relation__distribution_id.e7ba527eec", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, distribution_id\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__distribution`\n    group by source_relation, distribution_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.297302Z", "completed_at": "2023-12-19T20:57:32.350456Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.350935Z", "completed_at": "2023-12-19T20:57:32.350938Z"}], "thread_id": "Thread-2", "execution_time": 0.054685115814208984, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics.qualtrics__survey", "compiled": true, "compiled_code": "with  __dbt__cte__int_qualtrics__survey as (\nwith survey as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey`\n),\n\nqualtrics_user as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__user`\n),\n\nsurvey_version as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_version`\n),\n\nlatest_version as (\n\n    select *\n    from survey_version \n    where is_published\n),\n\nagg_versions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct version_number) as count_published_versions\n    from survey_version\n    where was_published and not is_deleted\n    group by 1,2\n),\n\nsurvey_join as (\n\n    select\n\n        survey.*,\n        latest_version.version_id,\n        latest_version.version_number,\n        latest_version.version_description,\n        latest_version.created_at as survey_version_created_at,\n        agg_versions.count_published_versions,\n        latest_version.publisher_user_id,\n        version_publisher.email as publisher_email, \n        creator.email as creator_email,\n        owner.email as owner_email\n\n    from survey\n    left join latest_version\n        on survey.survey_id = latest_version.survey_id\n        and survey.source_relation = latest_version.source_relation\n    left join qualtrics_user as version_publisher\n        on latest_version.publisher_user_id = version_publisher.user_id\n        and latest_version.source_relation = version_publisher.source_relation\n    left join qualtrics_user as owner\n        on survey.owner_user_id = owner.user_id\n        and survey.source_relation = owner.source_relation\n    left join qualtrics_user as creator\n        on survey.creator_user_id = creator.user_id\n        and survey.source_relation = creator.source_relation\n    left join agg_versions \n        on survey.survey_id = agg_versions.survey_id\n        and survey.source_relation = agg_versions.source_relation\n)\n\nselect *\nfrom survey_join\n), survey as (\n-- contains survey version + associated internal-user data\n    select *\n    from __dbt__cte__int_qualtrics__survey\n),\n\nresponses as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__survey_response`\n),\n\nquestion as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__question`\n),\n\nagg_questions as (\n\n    select \n        survey_id,\n        source_relation,\n        count(distinct question_id) as count_questions\n    from question \n    where not coalesce(is_deleted, false)\n    group by 1,2\n),\n\nagg_responses as (\n\n    \n    \n\n    select\n        survey_id,\n        source_relation,\n        avg(duration_in_seconds) as avg_response_duration_in_seconds,\n        avg(progress) as avg_survey_progress_pct,\n        count(distinct response_id) as count_survey_responses,\n        count(distinct case when is_finished then response_id else null end) as count_completed_survey_responses,\n        count(distinct \n                case \n                when \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        recorded_date,\n        day\n    )\n\n\n <= 30 then response_id\n                else null end) as count_survey_responses_30d,\n        count(distinct \n                case \n                when is_finished and \n  \n\n    timestamp_diff(\n        current_timestamp(),\n        recorded_date,\n        day\n    )\n\n\n <= 30 then response_id\n                else null end) as count_completed_survey_responses_30d,\n        \n        -- pivot out distribution channel responses\n        \n        count(distinct \n                case \n                when distribution_channel = 'anonymous' then response_id\n                else null end) as count_anonymous_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'anonymous' and is_finished then response_id\n                else null end) as count_anonymous_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'social' then response_id\n                else null end) as count_social_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'social' and is_finished then response_id\n                else null end) as count_social_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'gl' then response_id\n                else null end) as count_gl_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'gl' and is_finished then response_id\n                else null end) as count_gl_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'qr' then response_id\n                else null end) as count_qr_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'qr' and is_finished then response_id\n                else null end) as count_qr_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'email' then response_id\n                else null end) as count_email_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'email' and is_finished then response_id\n                else null end) as count_email_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' then response_id\n                else null end) as count_smsinvite_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' and is_finished then response_id\n                else null end) as count_smsinvite_completed_survey_responses,\n        \n\n        count(distinct case \n                when distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then response_id\n                else null end) as count_uncategorized_survey_responses,\n        count(distinct case \n                when is_finished and distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then response_id\n                else null end) as count_uncategorized_completed_survey_responses\n\n    from responses \n    group by 1,2\n),\n\ncalc_medians as (\n\n    select \n        survey_id,\n        source_relation,\n        median_response_duration_in_seconds,\n        median_survey_progress_pct\n        \n    from (\n        select \n            survey_id, \n            source_relation,\n            \n\n    percentile_cont( \n        duration_in_seconds, \n        0.5) \n        over (partition by survey_id,source_relation    \n        )\n\n as median_response_duration_in_seconds,\n            \n\n    percentile_cont( \n        progress, \n        0.5) \n        over (partition by survey_id,source_relation    \n        )\n\n as median_survey_progress_pct\n\n        from responses\n         -- percentile macro uses an aggregate function on postgres and window functions on other DBs\n    ) as rollup_medians\n     group by 1,2,3,4  -- roll up if using window function\n),\n\nsurvey_join as (\n\n    select\n        survey.*,\n        coalesce(agg_questions.count_questions, 0) as count_questions,\n\n        agg_responses.avg_response_duration_in_seconds,\n        calc_medians.median_response_duration_in_seconds,\n        agg_responses.avg_survey_progress_pct,\n        calc_medians.median_survey_progress_pct,\n        coalesce(agg_responses.count_survey_responses, 0) as count_survey_responses,\n        coalesce(agg_responses.count_completed_survey_responses, 0) as count_completed_survey_responses,\n        coalesce(agg_responses.count_survey_responses_30d, 0) as count_survey_responses_30d,\n        coalesce(agg_responses.count_completed_survey_responses_30d, 0) as count_completed_survey_responses_30d,\n\n        -- distribution channels\n        coalesce(agg_responses.count_anonymous_survey_responses, 0) as count_anonymous_survey_responses,\n        coalesce(agg_responses.count_anonymous_completed_survey_responses, 0) as count_anonymous_completed_survey_responses,\n        coalesce(agg_responses.count_social_survey_responses, 0) as count_social_media_survey_responses,\n        coalesce(agg_responses.count_social_completed_survey_responses, 0) as count_social_media_completed_survey_responses,\n        coalesce(agg_responses.count_gl_survey_responses, 0) as count_personal_link_survey_responses,\n        coalesce(agg_responses.count_gl_completed_survey_responses, 0) as count_personal_link_completed_survey_responses,\n        coalesce(agg_responses.count_qr_survey_responses, 0) as count_qr_code_survey_responses,\n        coalesce(agg_responses.count_qr_completed_survey_responses, 0) as count_qr_code_completed_survey_responses,\n        coalesce(agg_responses.count_email_survey_responses, 0) as count_email_survey_responses,\n        coalesce(agg_responses.count_email_completed_survey_responses, 0) as count_email_completed_survey_responses,\n        coalesce(agg_responses.count_smsinvite_survey_responses, 0) as count_sms_survey_responses,\n        coalesce(agg_responses.count_smsinvite_completed_survey_responses, 0) as count_sms_completed_survey_responses,\n        coalesce(agg_responses.count_uncategorized_survey_responses, 0) as count_uncategorized_survey_responses,\n        coalesce(agg_responses.count_uncategorized_completed_survey_responses, 0) as count_uncategorized_completed_survey_responses\n\n    from survey \n    left join agg_questions\n        on survey.survey_id = agg_questions.survey_id\n        and survey.source_relation = agg_questions.source_relation\n    left join agg_responses\n        on survey.survey_id = agg_responses.survey_id\n        and survey.source_relation = agg_responses.source_relation\n    left join calc_medians \n        on survey.survey_id = calc_medians.survey_id\n        and survey.source_relation = calc_medians.source_relation\n)\n\nselect *\nfrom survey_join", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__survey`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.352600Z", "completed_at": "2023-12-19T20:57:32.414253Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:32.414756Z", "completed_at": "2023-12-19T20:57:32.414761Z"}], "thread_id": "Thread-3", "execution_time": 0.06322193145751953, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__survey_source_relation__survey_id.c9eda9bf51", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        source_relation, survey_id\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__survey`\n    group by source_relation, survey_id\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:32.146105Z", "completed_at": "2023-12-19T20:57:34.842440Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:34.843465Z", "completed_at": "2023-12-19T20:57:34.843483Z"}], "thread_id": "Thread-4", "execution_time": 2.6995949745178223, "adapter_response": {}, "message": null, "failures": null, "unique_id": "model.qualtrics.qualtrics__daily_breakdown", "compiled": true, "compiled_code": "with response as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__response`\n),\n\ncontact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__contact`\n),\n\ncontact_mailing_list_membership as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__contact_mailing_list_membership`\n),\n\ndistribution_contact as (\n\n    select *\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics_source`.`stg_qualtrics__distribution_contact`\n),\n\nspine as (\n\n    \n    \n    \n    \n    \n\n    \n\n\n\n\n\nwith rawdata as (\n\n    \n\n    \n\n    with p as (\n        select 0 as generated_number union all select 1\n    ), unioned as (\n\n    select\n\n    \n    p0.generated_number * power(2, 0)\n     + \n    \n    p1.generated_number * power(2, 1)\n     + \n    \n    p2.generated_number * power(2, 2)\n     + \n    \n    p3.generated_number * power(2, 3)\n     + \n    \n    p4.generated_number * power(2, 4)\n     + \n    \n    p5.generated_number * power(2, 5)\n     + \n    \n    p6.generated_number * power(2, 6)\n     + \n    \n    p7.generated_number * power(2, 7)\n     + \n    \n    p8.generated_number * power(2, 8)\n     + \n    \n    p9.generated_number * power(2, 9)\n    \n    \n    + 1\n    as generated_number\n\n    from\n\n    \n    p as p0\n     cross join \n    \n    p as p1\n     cross join \n    \n    p as p2\n     cross join \n    \n    p as p3\n     cross join \n    \n    p as p4\n     cross join \n    \n    p as p5\n     cross join \n    \n    p as p6\n     cross join \n    \n    p as p7\n     cross join \n    \n    p as p8\n     cross join \n    \n    p as p9\n    \n    \n\n    )\n\n    select *\n    from unioned\n    where generated_number <= 629\n    order by generated_number\n\n\n\n),\n\nall_periods as (\n\n    select (\n        \n\n        datetime_add(\n            cast( cast('2022-04-06' as date) as datetime),\n        interval row_number() over (order by 1) - 1 day\n        )\n\n\n    ) as date_day\n    from rawdata\n\n),\n\nfiltered as (\n\n    select *\n    from all_periods\n    where date_day <= \n\n        datetime_add(\n            cast( timestamp_trunc(\n        cast(current_timestamp as timestamp),\n        day\n    ) as datetime),\n        interval 1 week\n        )\n\n\n\n)\n\nselect * from filtered\n\n \n),\n\nsource_relations as (\n\n    select\n        distinct source_relation \n    from distribution_contact\n),\n\nspine_cross_join as (\n\n    select \n        spine.date_day, \n        source_relations.source_relation\n    from spine \n    cross join source_relations\n),\n\nagg_responses as (\n    \n    \n\n    select \n        cast(timestamp_trunc(\n        cast(survey_response_recorded_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct survey_id) as count_distinct_surveys_responded_to,\n        count(distinct survey_response_id) as total_count_survey_responses,\n        count(distinct case when is_finished_with_survey then survey_response_id end) as total_count_completed_survey_responses,\n\n        \n        count(distinct \n                case \n                when distribution_channel = 'anonymous' then survey_response_id\n                else null end) as count_anonymous_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'anonymous' and is_finished_with_survey then survey_response_id\n                else null end) as count_anonymous_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'social' then survey_response_id\n                else null end) as count_social_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'social' and is_finished_with_survey then survey_response_id\n                else null end) as count_social_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'gl' then survey_response_id\n                else null end) as count_gl_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'gl' and is_finished_with_survey then survey_response_id\n                else null end) as count_gl_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'qr' then survey_response_id\n                else null end) as count_qr_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'qr' and is_finished_with_survey then survey_response_id\n                else null end) as count_qr_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'email' then survey_response_id\n                else null end) as count_email_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'email' and is_finished_with_survey then survey_response_id\n                else null end) as count_email_completed_survey_responses,\n        \n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' then survey_response_id\n                else null end) as count_smsinvite_survey_responses,\n        count(distinct \n                case \n                when distribution_channel = 'smsinvite' and is_finished_with_survey then survey_response_id\n                else null end) as count_smsinvite_completed_survey_responses,\n        \n        count(distinct case \n                when distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then survey_response_id\n                else null end) as count_uncategorized_survey_responses,\n        count(distinct case \n                when is_finished_with_survey and distribution_channel not in ('anonymous', 'social', 'gl', 'qr', 'email', 'smsinvite') then survey_response_id\n                else null end) as count_uncategorized_completed_survey_responses\n    from response \n    group by 1,2\n),\n\nagg_survey_distribution as (\n-- all metrics here relative to the day that the survey was sent\n    select \n        cast(timestamp_trunc(\n        cast(sent_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_sent_surveys,\n        count(distinct case when opened_at is not null then contact_id end) as count_contacts_opened_sent_surveys,\n        count(distinct case when response_started_at is not null then contact_id end) as count_contacts_started_sent_surveys,\n        count(distinct case when response_completed_at is not null then contact_id end) as count_contacts_completed_sent_surveys\n    from distribution_contact\n    group by 1,2\n),\n\nagg_created_contacts as (\n\n    select\n        cast(timestamp_trunc(\n        cast(created_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_created\n    from contact  \n    group by 1,2\n),\n\nagg_directory_unsubscriptions as (\n\n    select\n        cast(timestamp_trunc(\n        cast(unsubscribed_from_directory_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_unsubscribed_from_directory\n    from contact\n    group by 1,2\n),\n\nagg_mailing_list_unsubscriptions as (\n\n    select\n        cast(timestamp_trunc(\n        cast(unsubscribed_at as timestamp),\n        day\n    ) as date) as date_day,\n        source_relation,\n        count(distinct contact_id) as count_contacts_unsubscribed_from_mailing_list\n    from contact_mailing_list_membership\n    group by 1,2\n),\n\nfinal as (\n\n    select \n        coalesce(agg_responses.source_relation, agg_survey_distribution.source_relation, agg_created_contacts.source_relation, agg_directory_unsubscriptions.source_relation, agg_mailing_list_unsubscriptions.source_relation, spine_cross_join.source_relation) as source_relation,\n        spine_cross_join.date_day,\n        coalesce(agg_created_contacts.count_contacts_created, 0) as count_contacts_created,\n        coalesce(agg_directory_unsubscriptions.count_contacts_unsubscribed_from_directory, 0) as count_contacts_unsubscribed_from_directory,\n        coalesce(agg_mailing_list_unsubscriptions.count_contacts_unsubscribed_from_mailing_list, 0) as count_contacts_unsubscribed_from_mailing_list,\n\n        coalesce(agg_survey_distribution.count_contacts_sent_surveys, 0) as count_contacts_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_opened_sent_surveys, 0) as count_contacts_opened_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_started_sent_surveys, 0) as count_contacts_started_sent_surveys,\n        coalesce(agg_survey_distribution.count_contacts_completed_sent_surveys, 0) as count_contacts_completed_sent_surveys,\n\n        coalesce(agg_responses.count_distinct_surveys_responded_to, 0) as count_distinct_surveys_responded_to,\n        coalesce(agg_responses.total_count_survey_responses, 0) as total_count_survey_responses,\n        coalesce(agg_responses.total_count_completed_survey_responses, 0) as total_count_completed_survey_responses,\n\n        -- distribution channels\n        coalesce(agg_responses.count_anonymous_survey_responses, 0) as count_anonymous_survey_responses,\n        coalesce(agg_responses.count_anonymous_completed_survey_responses, 0) as count_anonymous_completed_survey_responses,\n        coalesce(agg_responses.count_social_survey_responses, 0) as count_social_media_survey_responses,\n        coalesce(agg_responses.count_social_completed_survey_responses, 0) as count_social_media_completed_survey_responses,\n        coalesce(agg_responses.count_gl_survey_responses, 0) as count_personal_link_survey_responses,\n        coalesce(agg_responses.count_gl_completed_survey_responses, 0) as count_personal_link_completed_survey_responses,\n        coalesce(agg_responses.count_qr_survey_responses, 0) as count_qr_code_survey_responses,\n        coalesce(agg_responses.count_qr_completed_survey_responses, 0) as count_qr_code_completed_survey_responses,\n        coalesce(agg_responses.count_email_survey_responses, 0) as count_email_survey_responses,\n        coalesce(agg_responses.count_email_completed_survey_responses, 0) as count_email_completed_survey_responses,\n        coalesce(agg_responses.count_smsinvite_survey_responses, 0) as count_sms_survey_responses,\n        coalesce(agg_responses.count_smsinvite_completed_survey_responses, 0) as count_sms_completed_survey_responses,\n        coalesce(agg_responses.count_uncategorized_survey_responses, 0) as count_uncategorized_survey_responses,\n        coalesce(agg_responses.count_uncategorized_completed_survey_responses, 0) as count_uncategorized_completed_survey_responses\n\n    from spine_cross_join\n    left join agg_responses\n        on spine_cross_join.date_day = agg_responses.date_day\n            and spine_cross_join.source_relation = agg_responses.source_relation\n    left join agg_survey_distribution\n        on spine_cross_join.date_day = agg_survey_distribution.date_day\n            and spine_cross_join.source_relation = agg_survey_distribution.source_relation\n    left join agg_created_contacts\n        on spine_cross_join.date_day = agg_created_contacts.date_day\n            and spine_cross_join.source_relation = agg_created_contacts.source_relation\n    left join agg_directory_unsubscriptions\n        on spine_cross_join.date_day = agg_directory_unsubscriptions.date_day\n            and spine_cross_join.source_relation = agg_directory_unsubscriptions.source_relation\n    left join agg_mailing_list_unsubscriptions\n        on spine_cross_join.date_day = agg_mailing_list_unsubscriptions.date_day\n            and spine_cross_join.source_relation = agg_mailing_list_unsubscriptions.source_relation\n    \n)\n\nselect * \nfrom final", "relation_name": "`dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__daily_breakdown`"}, {"status": "success", "timing": [{"name": "compile", "started_at": "2023-12-19T20:57:34.847289Z", "completed_at": "2023-12-19T20:57:34.853702Z"}, {"name": "execute", "started_at": "2023-12-19T20:57:34.854502Z", "completed_at": "2023-12-19T20:57:34.854509Z"}], "thread_id": "Thread-2", "execution_time": 0.009077072143554688, "adapter_response": {}, "message": null, "failures": null, "unique_id": "test.qualtrics.dbt_utils_unique_combination_of_columns_qualtrics__daily_breakdown_date_day__source_relation.dbc8565bca", "compiled": true, "compiled_code": "\n\n\n\n\n\nwith validation_errors as (\n\n    select\n        date_day, source_relation\n    from `dbt-package-testing`.`qualtrics_tests_qualtrics`.`qualtrics__daily_breakdown`\n    group by date_day, source_relation\n    having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n", "relation_name": null}], "elapsed_time": 5.882522106170654, "args": {"enable_legacy_logger": false, "compile": true, "which": "generate", "strict_mode": false, "introspect": true, "warn_error_options": {"include": [], "exclude": []}, "log_level": "info", "write_json": true, "profiles_dir": "/Users/jamie.rodriguez/.dbt", "log_file_max_bytes": 10485760, "version_check": true, "log_format_file": "debug", "use_colors_file": true, "send_anonymous_usage_stats": true, "print": true, "static_parser": true, "select": [], "empty_catalog": false, "quiet": false, "static": false, "favor_state": false, "show_resource_report": false, "partial_parse": true, "log_path": "/Users/jamie.rodriguez/Desktop/dbt_repos/Qualtrics/dbt_qualtrics/integration_tests/logs", "invocation_command": "dbt docs generate", "populate_cache": true, "defer": false, "macro_debugging": false, "printer_width": 80, "cache_selected_only": false, "log_format": "default", "partial_parse_file_diff": true, "project_dir": "/Users/jamie.rodriguez/Desktop/dbt_repos/Qualtrics/dbt_qualtrics/integration_tests", "log_level_file": "debug", "use_colors": true, "vars": {}, "indirect_selection": "eager", "exclude": []}}
\ No newline at end of file

From d1df2db87f8712b55bdb349470529f6588e8d381 Mon Sep 17 00:00:00 2001
From: Jamie Rodriguez <65564846+fivetran-jamie@users.noreply.github.com>
Date: Tue, 19 Dec 2023 12:59:55 -0800
Subject: [PATCH 4/5] docs

---
 README.md | 2 --
 1 file changed, 2 deletions(-)

diff --git a/README.md b/README.md
index ea16b46..459b4ce 100644
--- a/README.md
+++ b/README.md
@@ -99,7 +99,6 @@ vars:
 ```
 
 ## (Optional) Step 5: Additional configurations
-<details><summary>Expand for configurations</summary>
     
 ### Passing Through Additional Fields
 This package includes all source columns defined in the macros folder. You can add more columns using our pass-through column variables. These variables allow for the pass-through fields to be aliased (`alias`) and casted (`transform_sql`) if desired, but not required. Datatype casting is configured via a sql snippet within the `transform_sql` key. You may add the desired sql while omitting the `as field_name` at the end and your custom pass-though fields will be casted accordingly. Use the below format for declaring the respective pass-through variables:
@@ -150,7 +149,6 @@ If an individual source table has a different name than the package expects, add
 vars:
     qualtrics_<default_source_table_name>_identifier: your_table_name 
 ```
-</details>
 
 
 ## (Optional) Step 6: Orchestrate your models with Fivetran Transformations for dbt Core™

From d8a5215072385a82d68b57243311e3acfb2b1eaa Mon Sep 17 00:00:00 2001
From: Jamie Rodriguez <65564846+fivetran-jamie@users.noreply.github.com>
Date: Tue, 19 Dec 2023 14:32:58 -0800
Subject: [PATCH 5/5] Update CHANGELOG.md

Co-authored-by: Joe Markiewicz <74217849+fivetran-joemarkiewicz@users.noreply.github.com>
---
 CHANGELOG.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 2de47a3..97b09fc 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -3,7 +3,7 @@
 [PR #6](https://github.com/fivetran/dbt_qualtrics/pull/6) applies the following changes:
 
 ## Bug Fix
-- Ensures that date spine in `qualtrics__daily_breakdown` always has a non-null start date, even if you do not have the `distribution_contact` source table, whose `min(created_at)` we base the date spine off of. 
+- Ensures the date spine in the `qualtrics__daily_breakdown` model always has a non-null start date, especially if you do not have the `distribution_contact` source table whose `min(created_at)` is used to generate the date spine. 
   - If no `distribution_contact` table is present in your Qualtrics connector(s), the minimum date will be set to `2016-01-01`.
 
 ## Under the Hood