From a7602bb23250462300e3c7969458661aaccfcc67 Mon Sep 17 00:00:00 2001 From: Zachary Susswein Date: Wed, 7 Aug 2024 20:45:57 +0000 Subject: [PATCH 01/17] Config reader with expected schema validation --- .pre-commit-config.yaml | 1 - DESCRIPTION | 7 +- NAMESPACE | 2 + NEWS.md | 1 + R/config.R | 100 +++++++++++ inst/extdata/config_schema.json | 191 +++++++++++++++++++++ man/fetch_config.Rd | 49 ++++++ man/validate_config.Rd | 28 +++ tests/testthat/data/bad_sample_config.json | 32 ++++ tests/testthat/data/sample_config.json | 41 +++++ tests/testthat/test-fetch_config.R | 44 +++++ 11 files changed, 494 insertions(+), 2 deletions(-) create mode 100644 R/config.R create mode 100644 inst/extdata/config_schema.json create mode 100644 man/fetch_config.Rd create mode 100644 man/validate_config.Rd create mode 100644 tests/testthat/data/bad_sample_config.json create mode 100644 tests/testthat/data/sample_config.json create mode 100644 tests/testthat/test-fetch_config.R diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index b118efd6..b8883475 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -7,7 +7,6 @@ repos: hooks: - id: style-files args: [--style_pkg=styler, --style_fun=tidyverse_style] - - id: roxygenize - id: use-tidy-description - id: lintr - id: readme-rmd-rendered diff --git a/DESCRIPTION b/DESCRIPTION index d0f66746..34c7507e 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -14,8 +14,13 @@ Description: Add logging, metadata handling, and data handling License: Apache License (>= 2) Encoding: UTF-8 Roxygen: list(markdown = TRUE) -RoxygenNote: 7.3.1 +RoxygenNote: 7.3.2 Suggests: testthat (>= 3.0.0) Config/testthat/edition: 3 URL: https://cdcgov.github.io/cfa-epinow2-pipeline/ +Imports: + cli, + jsonlite, + jsonvalidate, + rlang diff --git a/NAMESPACE b/NAMESPACE index c8f16b10..d044ff06 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,3 +1,5 @@ # Generated by roxygen2: do not edit by hand export(add_two_numbers) +export(fetch_config) +export(validate_config) diff --git a/NEWS.md b/NEWS.md index 0f525c50..ae05490a 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,5 @@ # CFAEpiNow2Pipeline (development version) +* Config reader with schema validation and enforcement * CI running on Ubuntu only & working pkgdown deploy to Github Pages * Initial R package with checks running in CI diff --git a/R/config.R b/R/config.R new file mode 100644 index 00000000..e1f874dc --- /dev/null +++ b/R/config.R @@ -0,0 +1,100 @@ +#' Fetch the config from an external resource +#' +#' This step is the first part of the modeling pipeline. It looks to Azure Blob +#' and downloads the Rt model run's config to the local config (if +#' `blob_storage_container` is specified), reads the config in from the +#' filesystem, and validates that it matches expectations. If any of these steps +#' fails, the pipeline fails with an informative error message. Note, however, +#' that a failure in this initial step suggests that something fundamental is +#' misspecified and the logs will likely not be preserved in a Blob Container if +#' running in Azure. +#' +#' The validation relies on `inst/data/config_schema.json` for validation. This +#' file is in `json-schema` notation and generated programatically via +#' https://www.jsonschema.net/. +#' +#' @param config_path The path to the config file, either in the local +#' filesystem or with an Azure Blob Storage container. If +#' `blob_storage_container` is specified, the the path is assumed to be within +#' the specified container otherwise it is assumed to be in the local +#' filesystem. +#' @param local_dest The local directory to write the config to when downloading +#' it from `blob_storage_container`. This argument is ignored unless +#' `blob_storage_container` is specified. +#' @param blob_storage_container The storage container holding the config at +#' `config_path` +#' @param config_schema_path The path to the file holding the schema for the +#' config json for the validator to use. +#' +#' @return A list of lists, the config for the run. +#' @export +fetch_config <- function( + config_path, + local_dest, + blob_storage_container, + config_schema_path = system.file("extdata/config_schema.json", + package = "CFAEpiNow2Pipeline" + )) { + if (!rlang::is_null(blob_storage_container)) { + download_from_azure_blob( + config_path, + local_dest, + container_name = blob_storage_container + ) + } else { + cli::cli_alert( + "No blob storage container provided. Reading from local path." + ) + } + + cli::cli_alert_info("Loading config from {.path {config_path}}") + validate_config(config_path, config_schema_path) + + config <- rlang::try_fetch( + jsonlite::read_json(config_path), + error = function(con) { + cli::cli_abort( + "Error loading config from {.path {config_path}}", + parent = con, + class = "CFA_Rt" + ) + } + ) + + return(config) +} + +#' Compare loaded json against expectation in `inst/data/config-schema.json` +#' +#' @inheritParams fetch_config +#' @return NULL, invisibly +#' @export +validate_config <- function( + config_path, + config_schema_path = system.file("extdata/config_schema.json", + package = "CFAEpiNow2Pipeline" + )) { + is_config_valid <- rlang::try_fetch( + jsonvalidate::json_validate( + json = config_path, + schema = config_schema_path, + engine = "ajv", + verbose = TRUE, + greedy = TRUE, + error = TRUE + ), + error = function(con) { + cli::cli_abort( + c( + "Error while validating config", + "!" = "Config path: {.path {config_path}}", + "!" = "Schema path: {.path {config_schema_path}}" + ), + parent = con, + class = "CFA_Rt" + ) + } + ) + + invisible(is_config_valid) +} diff --git a/inst/extdata/config_schema.json b/inst/extdata/config_schema.json new file mode 100644 index 00000000..bc2dc105 --- /dev/null +++ b/inst/extdata/config_schema.json @@ -0,0 +1,191 @@ +{ + "$schema": "http://json-schema.org/draft-06/schema#", + "$ref": "#/definitions/Epinow2", + "definitions": { + "Epinow2": { + "type": "object", + "additionalProperties": false, + "properties": { + "job_id": { + "type": "string", + "format": "uuid" + }, + "task_id": { + "type": "string", + "format": "uuid" + }, + "as_of_date": { + "type": "string", + "format": "date" + }, + "disease": { + "type": "string" + }, + "geo_value": { + "type": "array", + "items": { + "type": "string" + } + }, + "geo_type": { + "type": "string" + }, + "parameters": { + "$ref": "#/definitions/Parameters" + }, + "data": { + "$ref": "#/definitions/Data" + }, + "seed": { + "type": "integer" + }, + "horizon": { + "type": "integer" + }, + "priors": { + "$ref": "#/definitions/Priors" + }, + "sampler_opts": { + "$ref": "#/definitions/SamplerOpts" + } + }, + "required": [ + "as_of_date", + "data", + "disease", + "geo_type", + "geo_value", + "horizon", + "job_id", + "parameters", + "priors", + "sampler_opts", + "seed", + "task_id" + ], + "title": "Epinow2" + }, + "Data": { + "type": "object", + "additionalProperties": false, + "properties": { + "path": { + "type": "string" + }, + "blob_storage_container": { + "type": ["null", "string"] + }, + "report_date": { + "type": "array", + "items": { + "type": "string", + "format": "date" + } + }, + "reference_date": { + "type": "array", + "items": { + "type": "string", + "format": "date" + } + } + }, + "required": [ + "blob_storage_container", + "path", + "reference_date", + "report_date" + ], + "title": "Data" + }, + "Parameters": { + "type": "object", + "additionalProperties": false, + "properties": { + "path": { + "type": "string" + }, + "blob_storage_container": { + "type": ["string", "null"] + } + }, + "required": [ + "blob_storage_container", + "path" + ], + "title": "Parameters" + }, + "Priors": { + "type": "object", + "additionalProperties": false, + "properties": { + "rt": { + "$ref": "#/definitions/Rt" + }, + "gp": { + "$ref": "#/definitions/Gp" + } + }, + "required": [ + "gp", + "rt" + ], + "title": "Priors" + }, + "Gp": { + "type": "object", + "additionalProperties": false, + "properties": { + "alpha_sd": { + "type": "number" + } + }, + "required": [ + "alpha_sd" + ], + "title": "Gp" + }, + "Rt": { + "type": "object", + "additionalProperties": false, + "properties": { + "mean": { + "type": "integer" + }, + "sd": { + "type": "number" + } + }, + "required": [ + "mean", + "sd" + ], + "title": "Rt" + }, + "SamplerOpts": { + "type": "object", + "additionalProperties": false, + "properties": { + "cores": { + "type": "integer" + }, + "chains": { + "type": "integer" + }, + "adapt_delta": { + "type": "number" + }, + "max_treedepth": { + "type": "integer" + } + }, + "required": [ + "adapt_delta", + "chains", + "cores", + "max_treedepth" + ], + "title": "SamplerOpts" + } + } +} diff --git a/man/fetch_config.Rd b/man/fetch_config.Rd new file mode 100644 index 00000000..873fc428 --- /dev/null +++ b/man/fetch_config.Rd @@ -0,0 +1,49 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/config.R +\name{fetch_config} +\alias{fetch_config} +\title{Fetch the config from an external resource} +\usage{ +fetch_config( + config_path, + local_dest, + blob_storage_container, + config_schema_path = system.file("extdata/config_schema.json", package = + "CFAEpiNow2Pipeline") +) +} +\arguments{ +\item{config_path}{The path to the config file, either in the local +filesystem or with an Azure Blob Storage container. If +\code{blob_storage_container} is specified, the the path is assumed to be within +the specified container otherwise it is assumed to be in the local +filesystem.} + +\item{local_dest}{The local directory to write the config to when downloading +it from \code{blob_storage_container}. This argument is ignored unless +\code{blob_storage_container} is specified.} + +\item{blob_storage_container}{The storage container holding the config at +\code{config_path}} + +\item{config_schema_path}{The path to the file holding the schema for the +config json for the validator to use.} +} +\value{ +A list of lists, the config for the run. +} +\description{ +This step is the first part of the modeling pipeline. It looks to Azure Blob +and downloads the Rt model run's config to the local config (if +\code{blob_storage_container} is specified), reads the config in from the +filesystem, and validates that it matches expectations. If any of these steps +fails, the pipeline fails with an informative error message. Note, however, +that a failure in this initial step suggests that something fundamental is +misspecified and the logs will likely not be preserved in a Blob Container if +running in Azure. +} +\details{ +The validation relies on \code{inst/data/config_schema.json} for validation. This +file is in \code{json-schema} notation and generated programatically via +https://www.jsonschema.net/. +} diff --git a/man/validate_config.Rd b/man/validate_config.Rd new file mode 100644 index 00000000..24758b5f --- /dev/null +++ b/man/validate_config.Rd @@ -0,0 +1,28 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/config.R +\name{validate_config} +\alias{validate_config} +\title{Compare loaded json against expectation in \code{inst/data/config-schema.json}} +\usage{ +validate_config( + config_path, + config_schema_path = system.file("extdata/config_schema.json", package = + "CFAEpiNow2Pipeline") +) +} +\arguments{ +\item{config_path}{The path to the config file, either in the local +filesystem or with an Azure Blob Storage container. If +\code{blob_storage_container} is specified, the the path is assumed to be within +the specified container otherwise it is assumed to be in the local +filesystem.} + +\item{config_schema_path}{The path to the file holding the schema for the +config json for the validator to use.} +} +\value{ +NULL, invisibly +} +\description{ +Compare loaded json against expectation in \code{inst/data/config-schema.json} +} diff --git a/tests/testthat/data/bad_sample_config.json b/tests/testthat/data/bad_sample_config.json new file mode 100644 index 00000000..c435d090 --- /dev/null +++ b/tests/testthat/data/bad_sample_config.json @@ -0,0 +1,32 @@ + +{ + "as_of_date": "2023-01-01", + "geo_value": "test", + "geo_type": "test", + "report_date": [ + "01-01" + ], + "reference_date": [ + "2023-01-01", + "2022-12-30", + "2022-12-29" + ], + "seed": "abc", + "horizon": 14, + "priors": { + "rt": { + "mean": 1.0, + "sd": 0.2 + }, + "gp": { + "alpha_sd": 0.01 + } + }, + "sampler_opts": { + "cores": 4, + "chains": 4, + "adapt_delta": 0.99, + "max_treedepth": 12, + "not_a_parameter": -12 + } +} diff --git a/tests/testthat/data/sample_config.json b/tests/testthat/data/sample_config.json new file mode 100644 index 00000000..a57f98c8 --- /dev/null +++ b/tests/testthat/data/sample_config.json @@ -0,0 +1,41 @@ +{ + "job_id": "6183da58-89bc-455f-8562-4f607257a876", + "task_id": "bc0c3eb3-7158-4631-a2a9-86b97357f97e", + "as_of_date": "2023-01-01", + "disease": "test", + "geo_value": ["test"], + "geo_type": "test", + "parameters": { + "path": "data/parameters.parquet", + "blob_storage_container": null + }, + "data": { + "path": "gold/", + "blob_storage_container": null, + "report_date": [ + "2023-01-01" + ], + "reference_date": [ + "2023-01-01", + "2022-12-30", + "2022-12-29" + ] + }, + "seed": 42, + "horizon": 14, + "priors": { + "rt": { + "mean": 1.0, + "sd": 0.2 + }, + "gp": { + "alpha_sd": 0.01 + } + }, + "sampler_opts": { + "cores": 4, + "chains": 4, + "adapt_delta": 0.99, + "max_treedepth": 12 + } +} diff --git a/tests/testthat/test-fetch_config.R b/tests/testthat/test-fetch_config.R new file mode 100644 index 00000000..d69bf9e5 --- /dev/null +++ b/tests/testthat/test-fetch_config.R @@ -0,0 +1,44 @@ +test_that("Test config loads", { + config_path <- test_path("data/sample_config.json") + + expected <- jsonlite::read_json(config_path) + actual <- fetch_config( + config_path = config_path, + local_dest = NULL, + blob_storage_container = NULL + ) + + expect_equal(actual, expected) +}) + +test_that("Bad config errors", { + config_path <- test_path("data/bad_sample_config.json") + + expect_error( + { + fetch_config( + config_path = config_path, + local_dest = NULL, + blob_storage_container = NULL + ) + }, + class = "CFA_Rt" + ) +}) + +test_that("Test config validates", { + config_path <- test_path("data/sample_config.json") + + expect_true( + validate_config( + config_path + ) + ) +}) + + +test_that("Bad config errors", { + config_path <- test_path("data/bad_sample_config.json") + + expect_error(validate_config(config_path)) +}) From 981e158a7ab7e721cd8dbe710ef24f031da6ffcf Mon Sep 17 00:00:00 2001 From: Zachary Susswein Date: Thu, 12 Sep 2024 19:17:40 -0400 Subject: [PATCH 02/17] Document config parameter meanings --- README.md | 160 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 160 insertions(+) diff --git a/README.md b/README.md index c4c95d6c..af555fa3 100644 --- a/README.md +++ b/README.md @@ -37,6 +37,166 @@ This package implements functions for: 1. **Logging**: Steps in the pipeline have comprehensive R-style logging, with the the [cli](https://github.com/r-lib/cli) package 1. **Metadata**: Extract comprehensive metadata on the model run and store alongside outputs +## Configuration Specification + +This section provides a detailed description of the configuration parameters used in the application. +They should be provided to the pipeline in JSON format, with all keys below _required_. + +### Overview + +The configuration is represented in JSON format as follows: + +```json +{ + "job_id": "6183da58-89bc-455f-8562-4f607257a876", + "task_id": "bc0c3eb3-7158-4631-a2a9-86b97357f97e", + "as_of_date": "2023-01-01", + "disease": "test", + "geo_value": ["test"], + "geo_type": "test", + "parameters": { + "path": "data/parameters.parquet", + "blob_storage_container": null + }, + "data": { + "path": "gold/", + "blob_storage_container": null, + "report_date": [ + "2023-01-01" + ], + "reference_date": [ + "2023-01-01", + "2022-12-30", + "2022-12-29" + ] + }, + "seed": 42, + "horizon": 14, + "priors": { + "rt": { + "mean": 1.0, + "sd": 0.2 + }, + "gp": { + "alpha_sd": 0.01 + } + }, + "sampler_opts": { + "cores": 4, + "chains": 4, + "adapt_delta": 0.99, + "max_treedepth": 12 + } +} +``` + +### Parameter Descriptions + +#### `job_id` + +- **Type**: `String` +- **Description**: A unique identifier for the job. + +#### `task_id` + +- **Type**: `String` +- **Description**: A unique identifier for the task within the job. See [Azure Batch for documentation](https://learn.microsoft.com/en-us/azure/batch/jobs-and-tasks) of the task vs. job abstraction. + +#### `as_of_date` + +- **Type**: `String` (Date in `YYYY-MM-DD` format) +- **Description**: Use the parameters that were used in production on this date. Set for the current date for the most up-to-to date version of the parameters and set to an earlier date to use parameters from an earlier time period. + +#### `disease` + +- **Type**: `String` +- **Description**: The name of the disease being modeled. One of `COVID-19`, `Influenza`, or `test`. + +#### `geo_value` + +- **Type**: `Array[String]` +- **Description**: A [FIPS Alpha code](https://en.wikipedia.org/wiki/Federal_Information_Processing_Standard_state_code) identifying a state or territory. This code is the standard uppercase two-letter state abbreviation. It can also be `US` for an aggregate national estimate. + +#### `geo_type` + +- **Type**: `String` +- **Description**: The type of geographical area (e.g., `"state"`, `"county"`). + +#### `parameters` + +An object containing paths to parameter files. + +- **`path`** + - **Type**: `String` + - **Description**: File path to the parameters file in Parquet format. +- **`blob_storage_container`** + - **Type**: `String` or `null` + - **Description**: Name of the blob storage container, if applicable. + +#### `data` + +An object containing data paths and dates. + +- **`path`** + - **Type**: `String` + - **Description**: Directory path to the data files. +- **`blob_storage_container`** + - **Type**: `String` or `null` + - **Description**: Name of the blob storage container, if applicable. +- **`report_date`** + - **Type**: `Array[String]` (Dates in `YYYY-MM-DD` format) + - **Description**: List of report dates to include. +- **`reference_date`** + - **Type**: `Array[String]` (Dates in `YYYY-MM-DD` format) + - **Description**: List of reference dates to include. + +#### `seed` + +- **Type**: `Integer` +- **Description**: Random seed for reproducibility. + +#### `horizon` + +- **Type**: `Integer` +- **Description**: Forecast horizon in days. Must be a natural number. + +#### `priors` + +An object specifying prior distributions for model parameters. See the [EpiNow2](https://epiforecasts.io/EpiNow2/articles/estimate_infections.html) model definition for more information. + +- **`rt`**: Prior settings for the reproduction number \( R_t \). + - **`mean`** + - **Type**: `Float` + - **Description**: Mean of the prior distribution for \( R_t \). + - **`sd`** + - **Type**: `Float` + - **Description**: Standard deviation of the prior distribution for \( R_t \). +- **`gp`**: Prior settings for the latent Gaussian process of Rt. + - **`alpha_sd`** + - **Type**: `Float` + - **Description**: Standard deviation for the alpha parameter in the Gaussian process. A larger standard deviation implies more wiggliness in the Rt estimate. + +#### `sampler_opts` + +An object containing options for the Stan HMC algorithm. + +- **`cores`** + - **Type**: `Integer` + - **Description**: Number of CPU cores to utilize. +- **`chains`** + - **Type**: `Integer` + - **Description**: Number of Markov chains to run. Should be greater than or equal to the number of cores. +- **`adapt_delta`** + - **Type**: `Float` + - **Description**: Target acceptance probability for the sampler's adaptation phase. +- **`max_treedepth`** + - **Type**: `Integer` + - **Description**: Log of the number of evaluations allowed before termination for non-convergence. + +--- + +**Note**: All date strings should follow the `YYYY-MM-DD` format to ensure consistency and proper parsing. + ## Project Admin - @zsusswein From a006e91b16c28975b9ab48457f067b467cbf9e94 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Thu, 12 Sep 2024 23:22:43 +0000 Subject: [PATCH 03/17] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 31c47cf7..2ae3bfa6 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -32,7 +32,7 @@ Imports: EpiNow2 (>= 1.4.0), rlang URL: https://cdcgov.github.io/cfa-epinow2-pipeline/ -Imports: +Imports: cli, jsonlite, jsonvalidate, From 4611b3ed996677f23e6df6983f7be95c90d9e3d3 Mon Sep 17 00:00:00 2001 From: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> Date: Tue, 15 Oct 2024 12:17:19 -0400 Subject: [PATCH 04/17] Apply suggestions from code review Co-authored-by: Adam Howes Co-authored-by: Kaitlyn Johnson <94390107+kaitejohnson@users.noreply.github.com> Co-authored-by: Nate McIntosh --- R/config.R | 6 +++--- inst/extdata/config_schema.json | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/R/config.R b/R/config.R index e1f874dc..1d84729c 100644 --- a/R/config.R +++ b/R/config.R @@ -4,7 +4,7 @@ #' and downloads the Rt model run's config to the local config (if #' `blob_storage_container` is specified), reads the config in from the #' filesystem, and validates that it matches expectations. If any of these steps -#' fails, the pipeline fails with an informative error message. Note, however, +#' fail, the pipeline fails with an informative error message. Note, however, #' that a failure in this initial step suggests that something fundamental is #' misspecified and the logs will likely not be preserved in a Blob Container if #' running in Azure. @@ -15,7 +15,7 @@ #' #' @param config_path The path to the config file, either in the local #' filesystem or with an Azure Blob Storage container. If -#' `blob_storage_container` is specified, the the path is assumed to be within +#' `blob_storage_container` is specified, the path is assumed to be within #' the specified container otherwise it is assumed to be in the local #' filesystem. #' @param local_dest The local directory to write the config to when downloading @@ -64,7 +64,7 @@ fetch_config <- function( return(config) } -#' Compare loaded json against expectation in `inst/data/config-schema.json` +#' Compare loaded JSON against expectation in `inst/data/config-schema.json` #' #' @inheritParams fetch_config #' @return NULL, invisibly diff --git a/inst/extdata/config_schema.json b/inst/extdata/config_schema.json index bc2dc105..faf85515 100644 --- a/inst/extdata/config_schema.json +++ b/inst/extdata/config_schema.json @@ -39,7 +39,7 @@ "seed": { "type": "integer" }, - "horizon": { + "horizon_days": { "type": "integer" }, "priors": { From 5a6e5b8cfae33a53baed7eff073750d351f9e2cc Mon Sep 17 00:00:00 2001 From: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> Date: Fri, 13 Sep 2024 10:38:59 -0400 Subject: [PATCH 05/17] Take 2: Fix `read_data()` incomplete return warning message (#40) * Fix read_data incomplete return checks * Update @damonabayer's patch to pass CI Really 3 changes: 1. Fix the lint error in the creation of `missing_dates` 2. Reformat `missing_dates` to a string so that the missing dates are pretty-printed. They're printed as an int if they're left as dates. 3. Update the test for this warning to a classed **snapshot** test. This change should prevent regression of the warning message. * Bump NEWS --------- Co-authored-by: Damon Bayer --- NEWS.md | 2 +- R/read_data.R | 22 +++++++++++++++------- tests/testthat/_snaps/read_data.md | 7 +++++++ tests/testthat/test-read_data.R | 5 +++-- 4 files changed, 26 insertions(+), 10 deletions(-) create mode 100644 tests/testthat/_snaps/read_data.md diff --git a/NEWS.md b/NEWS.md index f3b42c0a..6dd0f9bc 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,6 +1,7 @@ # CFAEpiNow2Pipeline (development version) * Config reader with schema validation and enforcement +* Fix bug in warning message for incomplete data read (h/t @damonbayer) * Fit EpiNow2 model using params and fixed seed * Removed `.vscode` folder from repo * Read and apply exclusions to case data @@ -10,7 +11,6 @@ * Bug fixed in the updated, faster pre-commit checks * Updated, faster pre-commit checks * Azure Blob file download utilities ->>>>>>> main * CI running on Ubuntu only & working pkgdown deploy to Github Pages * Initial R package with checks running in CI * Updated DESCRIPTION and added guidelines for package authorship diff --git a/R/read_data.R b/R/read_data.R index d9939807..d5f8eec4 100644 --- a/R/read_data.R +++ b/R/read_data.R @@ -132,22 +132,30 @@ read_data <- function(data_path, ) } # Warn for incomplete return + n_rows_expected <- as.Date(max_reference_date) - + as.Date(min_reference_date) + + 1 if ( - nrow(df) != as.Date(max_reference_date) - as.Date(min_reference_date) + 1 + nrow(df) != n_rows_expected ) { - n_rows_expected <- as.Date(max_reference_date) - as.Date(min_reference_date) - expected_dates <- format(seq.Date( + expected_dates <- seq.Date( from = as.Date(min_reference_date), to = as.Date(max_reference_date), by = "day" - ), "%Y-%m-%d") - missing_dates <- setdiff(expected_dates, df[["reference_date"]]) + ) + missing_dates <- stringify_date( + # Setdiff strips the date attribute from the objects; re-add it so that we + # can pretty-format the date for printing + as.Date( + setdiff(expected_dates, df[["reference_date"]]) + ) + ) cli::cli_warn( c( "Incomplete number of rows returned", "Expected {.val {n_rows_expected}} rows", - "Observed {.val {nrow(df)}} rows ", - "Missing reference date(s): {.val {missing_dates}}" + "Observed {.val {nrow(df)}} rows", + "Missing reference date(s): {missing_dates}" ), class = "incomplete_return" ) diff --git a/tests/testthat/_snaps/read_data.md b/tests/testthat/_snaps/read_data.md new file mode 100644 index 00000000..696bd146 --- /dev/null +++ b/tests/testthat/_snaps/read_data.md @@ -0,0 +1,7 @@ +# Incomplete return throws warning + + Incomplete number of rows returned + Expected 23 rows + Observed 21 rows + Missing reference date(s): 2022-12-31 and 2023-01-01 + diff --git a/tests/testthat/test-read_data.R b/tests/testthat/test-read_data.R index 936224d2..80b413b3 100644 --- a/tests/testthat/test-read_data.R +++ b/tests/testthat/test-read_data.R @@ -98,12 +98,13 @@ test_that("An invalid query throws a wrapped error", { test_that("Incomplete return throws warning", { data_path <- test_path("data/test_data.parquet") - expect_warning( + # Two missing dates + expect_snapshot_warning( read_data(data_path, disease = "test", state_abb = "test", report_date = "2023-10-28", - min_reference_date = "2022-12-01", + min_reference_date = "2022-12-31", max_reference_date = "2023-01-22" ), class = "incomplete_return" From 88713ecb7a17096b81412215049993152d513173 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 16 Sep 2024 17:44:53 -0400 Subject: [PATCH 06/17] [pre-commit.ci] pre-commit autoupdate (#42) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * [pre-commit.ci] pre-commit autoupdate updates: - [github.com/lorenzwalthert/precommit: v0.4.3 → v0.4.3.9001](https://github.com/lorenzwalthert/precommit/compare/v0.4.3...v0.4.3.9001) - [github.com/astral-sh/ruff-pre-commit: v0.6.4 → v0.6.5](https://github.com/astral-sh/ruff-pre-commit/compare/v0.6.4...v0.6.5) * Bump NEWS --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Zachary Susswein --- .pre-commit-config.yaml | 4 ++-- NEWS.md | 1 + 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 7ee90bd5..fca3b75f 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -3,7 +3,7 @@ repos: # R - repo: https://github.com/lorenzwalthert/precommit - rev: v0.4.3 + rev: v0.4.3.9001 hooks: - id: style-files args: [--style_pkg=styler, --style_fun=tidyverse_style, @@ -61,7 +61,7 @@ repos: args: ['--profile', 'black', '--line-length', '79'] - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.6.4 + rev: v0.6.5 hooks: - id: ruff ##### diff --git a/NEWS.md b/NEWS.md index 6dd0f9bc..f40d741f 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,6 +1,7 @@ # CFAEpiNow2Pipeline (development version) * Config reader with schema validation and enforcement +* Bump pre-commit hooks * Fix bug in warning message for incomplete data read (h/t @damonbayer) * Fit EpiNow2 model using params and fixed seed * Removed `.vscode` folder from repo From 33f0d6c4c7b8d3101581cc33dbae55be9e943860 Mon Sep 17 00:00:00 2001 From: "George G. Vega Yon" Date: Tue, 17 Sep 2024 00:19:54 +0100 Subject: [PATCH 07/17] Starts Dockerfile + GitHub action for building and pushing (#32) --- .Rbuildignore | 2 + .github/workflows/build-docker.yaml | 73 +++++++++++++++++++++++++++++ Dockerfile | 14 ++++++ Dockerfile-dependencies | 11 +++++ Makefile | 17 +++++++ NEWS.md | 1 + 6 files changed, 118 insertions(+) create mode 100644 .github/workflows/build-docker.yaml create mode 100644 Dockerfile create mode 100644 Dockerfile-dependencies create mode 100644 Makefile diff --git a/.Rbuildignore b/.Rbuildignore index c20e4eba..8ae3faf3 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -1,6 +1,8 @@ ^CONTRIBUTING.md$ ^DISCLAIMER.md$ +^Dockerfile$ ^LICENSE.md$ +^Makefile$ ^\.github$ ^\.lintr$ ^\.pre-commit-config\.yaml$ diff --git a/.github/workflows/build-docker.yaml b/.github/workflows/build-docker.yaml new file mode 100644 index 00000000..2cd6653d --- /dev/null +++ b/.github/workflows/build-docker.yaml @@ -0,0 +1,73 @@ +# This GitHub Actions workflow builds a Docker image for the +# cfa-epinow2-pipeline-docker project. It consists of two jobs: +# build_image_dependencies and build_image. +# +# - The `build_image_dependencies` job carries out the first part of a +# multi-stage build. It downloads and install all the dependencies +# listed in the `DESCRIPTION` file. It uses the `Dockerfile-dependencies` +# file to build the image. +# +# The built image is then pushed to the corresponding registry. +# +# The process is cached to avoid rebuilding the image if the dependencies +# have not changed. This is by hashing the `DESCRIPTION` file and the +# `Dockerfile-dependencies` file. +# +# - The build_image job builds the final image using the `Dockerfile` file. +# It uses the image built in the previous job as a base image. +# +# During the build process, the package is installed and built. Furthermore +# the package is checked using `R CMD check` to ensure that it is working +# correctly. +# +# Once the image is built, it is pushed to the corresponding registry. + +name: Builds Docker image + +on: + push: + branches: + - main + workflow_dispatch: + +env: + IMAGE_NAME: gvegayon/cfa-epinow2-pipeline + REGISTRY: docker.io + +jobs: + build_image_dependencies: + runs-on: ubuntu-latest + steps: + - name: Checkout code + uses: actions/checkout@v4 + + - name: Check cache + uses: actions/cache@v3 + id: cache + with: + key: docker-dependencies-${{ runner.os }}-${{ hashFiles('./DESCRIPTION', './Dockerfile-dependencies') }} + path: + ./DESCRIPTION + + - name: Build and push + uses: docker/build-push-action@v6 + if: steps.cache.outputs.cache-hit != 'true' + with: + push: false + tags: ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:latest + file: ./Dockerfile-dependencies + + outputs: + IMAGE_NAME: ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:latest + + build_image: + needs: build_image_dependencies + runs-on: ubuntu-latest + + steps: + - name: Build and push + uses: docker/build-push-action@v6 + with: + push: false + tags: ${{ needs.build_image_dependencies.outputs.IMAGE_NAME }} + file: ./Dockerfile diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 00000000..22adfd2c --- /dev/null +++ b/Dockerfile @@ -0,0 +1,14 @@ +FROM gvegayon/cfa-epinow2-pipeline-dependencies:latest + +# Will copy the package to the container preserving the directory structure +COPY . pkg/ + +# Install the full package while leaving the tar.gz file in the +# container for later use. +RUN R CMD build --no-build-vignettes pkg && \ + R CMD INSTALL CFAEpiNow2Pipeline_*.tar.gz + +# Ensure the package is working properly +RUN R CMD check CFAEpiNow2Pipeline_*.tar.gz + +CMD ["bash"] diff --git a/Dockerfile-dependencies b/Dockerfile-dependencies new file mode 100644 index 00000000..9ba7f235 --- /dev/null +++ b/Dockerfile-dependencies @@ -0,0 +1,11 @@ +FROM rocker/geospatial:4.4.1 + +# Will copy the package to the container preserving the directory structure +COPY . pkg/ + +# Installing missing dependencies +RUN apt-get update && apt-get install -y --no-install-recommends pandoc-citeproc +RUN install2.r pak +RUN Rscript -e 'pak::local_install_deps("pkg", upgrade = FALSE, dependencies = NA)' + +CMD ["bash"] diff --git a/Makefile b/Makefile new file mode 100644 index 00000000..0b6d1027 --- /dev/null +++ b/Makefile @@ -0,0 +1,17 @@ +# If CNTR_PROG is undefined, then set it to be podman +ifndef CNTR_PROG + CNTR_PROG = podman +endif + +CNTR_USER=gvegayon +IMAGE_NAME=cfa-epinow2-pipeline-dependencies:latest + +build: + $(CNTR_PROG) build -t $(IMAGE_NAME) -f Dockerfile-dependencies . && \ + $(CNTR_PROG) tag $(IMAGE_NAME) $(CNTR_USER)/$(IMAGE_NAME) + +push: + $(CNTR_PROG) push $(CNTR_USER)/$(IMAGE_NAME) + +run: + $(CNTR_PROG) run -it --rm -v $(PWD):/mnt $(IMAGE_NAME) diff --git a/NEWS.md b/NEWS.md index f40d741f..76f6d196 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,6 +1,7 @@ # CFAEpiNow2Pipeline (development version) * Config reader with schema validation and enforcement +* Added Docker image with all the requirements to build the package. * Bump pre-commit hooks * Fix bug in warning message for incomplete data read (h/t @damonbayer) * Fit EpiNow2 model using params and fixed seed From 14f0eba6aee9dc3e4b2126eb03063d725929d322 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 23 Sep 2024 22:35:07 -0400 Subject: [PATCH 08/17] [pre-commit.ci] pre-commit autoupdate (#46) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit updates: - [github.com/astral-sh/ruff-pre-commit: v0.6.5 → v0.6.7](https://github.com/astral-sh/ruff-pre-commit/compare/v0.6.5...v0.6.7) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- .pre-commit-config.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index fca3b75f..2a4cab19 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -61,7 +61,7 @@ repos: args: ['--profile', 'black', '--line-length', '79'] - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.6.5 + rev: v0.6.7 hooks: - id: ruff ##### From 17dbb3b805c4dd0b254018486708e61863891902 Mon Sep 17 00:00:00 2001 From: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> Date: Wed, 25 Sep 2024 14:59:21 -0400 Subject: [PATCH 09/17] Explicit date casting in queries (#47) * Explicit date casting in queries To fix test failures caused by DuckDB v1.1.1 release * Bump NEWS --- NEWS.md | 1 + R/parameters.R | 2 +- R/read_data.R | 12 ++++++------ 3 files changed, 8 insertions(+), 7 deletions(-) diff --git a/NEWS.md b/NEWS.md index 76f6d196..4fc17529 100644 --- a/NEWS.md +++ b/NEWS.md @@ -18,3 +18,4 @@ * Updated DESCRIPTION and added guidelines for package authorship * Set up README with explanation of purpose and scope * Removed `add.R` placeholder +* Fix bugs in date casting caused by DuckDB v1.1.1 release diff --git a/R/parameters.R b/R/parameters.R index 63fd5305..7da22294 100644 --- a/R/parameters.R +++ b/R/parameters.R @@ -141,7 +141,7 @@ read_interval_pmf <- function(path, AND parameter = ? AND disease = ? AND start_date < ? :: DATE - AND (end_date > ? OR end_date IS NULL) + AND (CAST(end_date AS DATE) > ? :: DATE OR end_date IS NULL) " parameters <- list( path, diff --git a/R/read_data.R b/R/read_data.R index d5f8eec4..385f5f15 100644 --- a/R/read_data.R +++ b/R/read_data.R @@ -71,9 +71,9 @@ read_data <- function(data_path, WHERE 1=1 AND disease = ? AND metric = 'count_ed_visits' - AND reference_date >= ? - AND reference_date <= ? - AND report_date = ? + AND reference_date >= ? :: DATE + AND reference_date <= ? :: DATE + AND report_date = ? :: DATE GROUP BY reference_date, report_date, disease ORDER BY reference_date " @@ -90,9 +90,9 @@ read_data <- function(data_path, WHERE 1=1 AND disease = ? AND metric = 'count_ed_visits' - AND reference_date >= ? - AND reference_date <= ? - AND report_date = ? + AND reference_date >= ? :: DATE + AND reference_date <= ? :: DATE + AND report_date = ? :: DATE AND geo_value = ? GROUP BY geo_value, reference_date, report_date, disease ORDER BY reference_date From db850c48a9a5542044d02ee361d11ea0ae12b774 Mon Sep 17 00:00:00 2001 From: Jon Kislin <136386616+jkislin@users.noreply.github.com> Date: Fri, 27 Sep 2024 01:56:50 +0000 Subject: [PATCH 10/17] ACR, Workflow UX, gh act, azure batch automation (#43) * Changes for CFA Azure ACR * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * added to news.md * testing image on jk branch * update workflow name; resubmit job * change runs-on to new cdcgov runner * removed unworking cache check * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * azure batch scaffolding (maybe not necessary here) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * another attempt at cacheing and simplification; splitting the buiild/dependencies workflows * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * better github actions ux via build names * organized workflows for contributor/tester ux * removed cacheing and made names easier to read * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * comprehensive workflow renaming for ux/trackability * Explicit date casting in queries To fix test failures caused by DuckDB v1.1.1 release * Bump NEWS * pipeline with batch code - not yet working * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * commenting out the job01 dependencies build to claw us back some test cycle time * nektos gh-act tests and pool creation code * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix some env variables for auto scale formula * more cowbell * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix needs issue * we need quotes around var names" * autoscale formula as cat'd variable * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * newline syntax fix for bash batch cli code * fixed endpoint uri * autoscale enablement?; * autoscale as a separate step * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * pool id var needs fixing in the last step * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * environment variables * quotes? * comments * run name in quotes * Update .github/workflows/1-Build-Dependency-Image.yaml Co-authored-by: Nate McIntosh * Update .gitignore Co-authored-by: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> * added cron trigger and removed jk-azure-readiness push trigger * documentation edits; file renames; revived "cacheing" for testing * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * ubuntu image update? * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * node agent sku also... * attempting ubuntu 22 as 24 not yet supported * simplified commit message display in workflow gui * reverted to ubuntu 20. will have to investigate --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Zachary Susswein Co-authored-by: Nate McIntosh Co-authored-by: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> --- .../workflows/1-Build-Dependencies-Image.yaml | 74 +++++++++++ .github/workflows/2-Run-Epinow2-Pipeline.yaml | 116 ++++++++++++++++++ .../2_pre-Test-Model-Image-Build.yaml | 42 +++++++ ...heck-news-md.yaml => 3-check-news-md.yaml} | 4 + .../{R-CMD-check.yaml => 4-R-CMD-check.yaml} | 6 +- .../{block-fixup.yaml => 5-block-fixup.yaml} | 4 +- .../{pkgdown.yaml => 6-pkgdown.yaml} | 1 + ...est-coverage.yaml => 7-test-coverage.yaml} | 3 +- .../{pr-commands.yaml => 8-pr-commands.yaml} | 4 +- .github/workflows/build-docker.yaml | 73 ----------- .github/workflows/gh-act/2-dry.sh | 9 ++ .github/workflows/gh-act/2-full.sh | 8 ++ .gitignore | 4 + .secrets.baseline | 19 ++- Dockerfile | 3 +- NEWS.md | 1 + batch-autoscale-formula.txt | 20 +++ 17 files changed, 310 insertions(+), 81 deletions(-) create mode 100644 .github/workflows/1-Build-Dependencies-Image.yaml create mode 100644 .github/workflows/2-Run-Epinow2-Pipeline.yaml create mode 100644 .github/workflows/2_pre-Test-Model-Image-Build.yaml rename .github/workflows/{check-news-md.yaml => 3-check-news-md.yaml} (77%) rename .github/workflows/{R-CMD-check.yaml => 4-R-CMD-check.yaml} (93%) rename .github/workflows/{block-fixup.yaml => 5-block-fixup.yaml} (59%) rename .github/workflows/{pkgdown.yaml => 6-pkgdown.yaml} (93%) rename .github/workflows/{test-coverage.yaml => 7-test-coverage.yaml} (93%) rename .github/workflows/{pr-commands.yaml => 8-pr-commands.yaml} (96%) delete mode 100644 .github/workflows/build-docker.yaml create mode 100644 .github/workflows/gh-act/2-dry.sh create mode 100644 .github/workflows/gh-act/2-full.sh create mode 100644 batch-autoscale-formula.txt diff --git a/.github/workflows/1-Build-Dependencies-Image.yaml b/.github/workflows/1-Build-Dependencies-Image.yaml new file mode 100644 index 00000000..40526059 --- /dev/null +++ b/.github/workflows/1-Build-Dependencies-Image.yaml @@ -0,0 +1,74 @@ +name: Build Dependencies Container Image +run-name: (1) Dependencies Image Build - ${{ github.event.head_commit.message }} - ${{ github.ref_name }} + +# This GitHub Actions workflow builds a Dependencies Docker image for the +# cfa-epinow2-pipeline-docker project. +# +# - The `build_image_dependencies` job carries out the first part of a +# multi-stage build. It downloads and installs all the dependencies +# listed in the `DESCRIPTION` file. It uses the `Dockerfile-dependencies` +# file to build the image. +# +# The built image is then pushed to the corresponding registry. +# +# The process is cached to avoid rebuilding the image if the dependencies +# have not changed. This is by hashing the `DESCRIPTION` file and the +# `Dockerfile-dependencies` file. + +# - This built docker image is then referenced by the simply named 'Dockerfile', built in: +# - "2_pre-Test-Model-Image-Build" and +# - "2-Run-Epinow2-Pipeline.yaml" + +on: + push: + branches: + - main + paths: + - "./Dockerfile-dependencies" # the dockerfile this workflow builds from + - "./.github/workflows/build-dependency-image.yaml" # this workflow + + pull_request: + branches: + - main + paths: + - "./Dockerfile-dependencies" # the dockerfile this workflow builds from + - "./.github/workflows/build-dependency-image.yaml" # this workflow + + workflow_dispatch: + +env: + # Together, these form: cfaprdbatchcr.azurecr.io/cfa-epinow2-pipeline + REGISTRY: cfaprdbatchcr.azurecr.io + IMAGE_NAME: cfa-epinow2-pipeline + +jobs: + Job01-build_image_dependencies: + runs-on: cfa-cdcgov # VM based runner serving CFA's cdcgov repos (as opposed to cdcent) + steps: + - name: Checkout code + uses: actions/checkout@v4 + + - name: Check cache + uses: actions/cache@v3 + id: cache + with: + key: docker-dependencies-${{ runner.os }}-${{ hashFiles('./DESCRIPTION', './Dockerfile-dependencies') }} + path: + ./DESCRIPTION + + - name: Login to the Container Registry + uses: docker/login-action@v3 + with: + registry: "cfaprdbatchcr.azurecr.io" + username: "cfaprdbatchcr" + password: ${{ secrets.CFAPRDBATCHCR_REGISTRY_PASSWORD }} + + - name: Build and push + if: steps.cache.outputs.cache-hit != 'true' + uses: docker/build-push-action@v6 + with: + push: true + tags: | + ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}-dependencies:latest + ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}-dependencies:${{ github.sha }} + file: ./Dockerfile-dependencies diff --git a/.github/workflows/2-Run-Epinow2-Pipeline.yaml b/.github/workflows/2-Run-Epinow2-Pipeline.yaml new file mode 100644 index 00000000..d5801941 --- /dev/null +++ b/.github/workflows/2-Run-Epinow2-Pipeline.yaml @@ -0,0 +1,116 @@ +name: Run Epinow2 Pipeline +run-name: (2) Pipeline - "${{ github.event.head_commit.message }}" + +# This GitHub Actions workflow builds a Docker image for the +# cfa-epinow2-pipeline-docker project. +# +# - The build_image job builds the final image using the `Dockerfile` file. +# It uses the image built in "1-Build-Dependencies-Image.yaml" as a base image. +# +# During the build process, the package is installed and built. Furthermore +# the package is checked using `R CMD check` to ensure that it is working +# correctly. +# +# Once the image is built, it is pushed to the corresponding registry. + +on: + push: + branches: + - main + pull_request: + branches: + - main + workflow_dispatch: + schedule: + - cron: "0 12 * * 3" + +env: + # Together, these form: cfaprdbatchcr.azurecr.io/cfa-epinow2-pipeline + REGISTRY: cfaprdbatchcr.azurecr.io + IMAGE_NAME: cfa-epinow2-pipeline + +jobs: + + _01_build-model-image: + runs-on: cfa-cdcgov # + steps: + + - name: Login to the Container Registry + uses: docker/login-action@v3 + with: + registry: "cfaprdbatchcr.azurecr.io" + username: "cfaprdbatchcr" + password: ${{ secrets.CFAPRDBATCHCR_REGISTRY_PASSWORD }} + + # Comment out if you want to just test the pool creation without waiting for build and push + - name: Build and push model pipeline image for Azure batch # second stage, the actual payload + id: build_and_push_model_image + uses: docker/build-push-action@v6 + with: + push: true + tags: | + ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:latest + ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:${{ github.sha }} + file: ./Dockerfile # second stage Dockerfile + + _02_create-batch-pool-and-submit-jobs: + runs-on: cfa-cdcgov + needs: + - _01_build-model-image + + permissions: + contents: read + packages: write + + steps: + - name: Checkout Repo + id: checkout_repo + uses: actions/checkout@v4 + + - name: Login to Azure with NNH Service Principal + id: azure_login_2 + uses: azure/login@v2 + with: + # managed by EDAV. Contact Amit Mantri or Jon Kislin if you have issues. + creds: ${{ secrets.EDAV_CFA_PREDICT_NNHT_SP }} + + + - name: Get Github Short sha + run: | + shortSHA=$(git rev-parse --short ${{ github.sha }}) + echo "SHORT_SHA=$shortSHA" >> $GITHUB_ENV + + - name: Create cfa-epinow2-pipeline Pool + id: create_batch_pool + + # Every Azure Batch Pool parameter can simply go here, + # no python module or config toml necessary + env: + POOL_ID: "cfa-epinow2-${{ env.SHORT_SHA }}" # version the pools with the github sha + BATCH_ACCOUNT: "cfaprdba" + BATCH_ENDPOINT: "https://cfaprdba.eastus.batch.azure.com/" + VM_IMAGE_TAG: "canonical:0001-com-ubuntu-server-focal:20_04-lts" + NODE_AGENT_SKU_ID: "batch.node.ubuntu 20.04" + VM_SIZE: "standard_a4m_v2" + RESOURCE_GROUP: ${{ secrets.PRD_RESOURCE_GROUP }} + + + # The call to the az cli that actually generates the pool + run: | + az batch account login \ + --resource-group ${{ secrets.PRD_RESOURCE_GROUP }} \ + --name "${{ env.BATCH_ACCOUNT }}" \ + + az batch pool create \ + --account-endpoint "${{ env.BATCH_ENDPOINT }}" \ + --id "${{ env.POOL_ID }}" \ + --image "${{ env.VM_IMAGE_TAG }}" \ + --node-agent-sku-id "${{ env.NODE_AGENT_SKU_ID }}" \ + --vm-size "${{ env.VM_SIZE }}" \ + + az batch pool autoscale enable \ + --pool-id ${{ env.POOL_ID }} \ + --auto-scale-formula "$(cat './batch-autoscale-formula.txt')" + + # Let's get this POOL_ID var for the next step too + echo "POOL_ID=${{ env.POOL_ID}}" >> $GITHUB_ENV diff --git a/.github/workflows/2_pre-Test-Model-Image-Build.yaml b/.github/workflows/2_pre-Test-Model-Image-Build.yaml new file mode 100644 index 00000000..9a79e3dd --- /dev/null +++ b/.github/workflows/2_pre-Test-Model-Image-Build.yaml @@ -0,0 +1,42 @@ +name: Test Model Image Build +run-name: (2_pre) Test Model Image - "${{ github.event.head_commit.message }}" + +# This GitHub Actions workflow builds a Docker image for the +# cfa-epinow2-pipeline-docker project. In-container tests can be added here. + +on: + pull_request: + branches: + - main + workflow_dispatch: + schedule: + # Tuesdays at noon GMT time, 24 hours before the prod container is built and deployed + - cron: "0 12 * * 2" + +env: + # Together, these form: cfaprdbatchcr.azurecr.io/cfa-epinow2-pipeline + REGISTRY: cfaprdbatchcr.azurecr.io + IMAGE_NAME: cfa-epinow2-pipeline + +jobs: + + _01_build-model-image: + runs-on: cfa-cdcgov + steps: + + - name: Login to the Container Registry + uses: docker/login-action@v3 + with: + registry: "cfaprdbatchcr.azurecr.io" + username: "cfaprdbatchcr" + password: ${{ secrets.CFAPRDBATCHCR_REGISTRY_PASSWORD }} + + - name: Build and push model pipeline image for Azure batch + id: build_and_push_model_image + uses: docker/build-push-action@v6 + with: + push: false # This can be toggled manually for tweaking. + tags: | + ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:buildtest-latest + ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:buildtest-${{ github.sha }} + file: ./Dockerfile diff --git a/.github/workflows/check-news-md.yaml b/.github/workflows/3-check-news-md.yaml similarity index 77% rename from .github/workflows/check-news-md.yaml rename to .github/workflows/3-check-news-md.yaml index 07ae7dea..83028a5f 100644 --- a/.github/workflows/check-news-md.yaml +++ b/.github/workflows/3-check-news-md.yaml @@ -1,4 +1,8 @@ +# All PRs into main MUST be deliberately labelled in the NEWS.md with a succint but informative entry +# describing the changes made - this workflow checks to make sure that this has been done. + name: Check NEWS.md Update +run-name: (3) Check News.md for Compliance - ${{ github.event.head_commit.message }} - ${{ github.ref_name }} on: pull_request: diff --git a/.github/workflows/R-CMD-check.yaml b/.github/workflows/4-R-CMD-check.yaml similarity index 93% rename from .github/workflows/R-CMD-check.yaml rename to .github/workflows/4-R-CMD-check.yaml index 0489bb79..0aac7d19 100644 --- a/.github/workflows/R-CMD-check.yaml +++ b/.github/workflows/4-R-CMD-check.yaml @@ -1,5 +1,9 @@ # Workflow derived from https://github.com/r-lib/actions/tree/v2/examples # Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help + +name: R-CMD-check +run-name: (4) R-CMD-check - ${{ github.event.head_commit.message }} - ${{ github.ref_name }} + on: pull_request: branches: [main] @@ -7,8 +11,6 @@ on: branches: - main -name: R-CMD-check - jobs: R-CMD-check: runs-on: ${{ matrix.config.os }} diff --git a/.github/workflows/block-fixup.yaml b/.github/workflows/5-block-fixup.yaml similarity index 59% rename from .github/workflows/block-fixup.yaml rename to .github/workflows/5-block-fixup.yaml index b42aeb49..c88a4f5c 100644 --- a/.github/workflows/block-fixup.yaml +++ b/.github/workflows/5-block-fixup.yaml @@ -1,4 +1,6 @@ -name: Git Checks +name: Block Fix-up (Git Check) +run-name: (5) Block Fix-up / Git Check - ${{ github.event.head_commit.message }} - ${{ github.ref_name }} + on: [pull_request] diff --git a/.github/workflows/pkgdown.yaml b/.github/workflows/6-pkgdown.yaml similarity index 93% rename from .github/workflows/pkgdown.yaml rename to .github/workflows/6-pkgdown.yaml index a7276e85..86e18ca5 100644 --- a/.github/workflows/pkgdown.yaml +++ b/.github/workflows/6-pkgdown.yaml @@ -10,6 +10,7 @@ on: workflow_dispatch: name: pkgdown +run-name: (6) pkgdown - ${{ github.event.head_commit.message }} - ${{ github.ref_name }} jobs: pkgdown: diff --git a/.github/workflows/test-coverage.yaml b/.github/workflows/7-test-coverage.yaml similarity index 93% rename from .github/workflows/test-coverage.yaml rename to .github/workflows/7-test-coverage.yaml index e8a84711..713acd75 100644 --- a/.github/workflows/test-coverage.yaml +++ b/.github/workflows/7-test-coverage.yaml @@ -7,6 +7,7 @@ on: branches: [main] name: test-coverage +run-name: (7) Test Coverage - ${{ github.event.head_commit.message }} - ${{ github.ref_name }} jobs: test-coverage: @@ -27,6 +28,7 @@ jobs: needs: coverage - name: Test coverage + shell: Rscript {0} run: | covr::codecov( quiet = FALSE, @@ -34,7 +36,6 @@ jobs: install_path = file.path(normalizePath(Sys.getenv("RUNNER_TEMP"), winslash = "/"), "package"), token = "${{ secrets.CODECOV_TOKEN }}" ) - shell: Rscript {0} - name: Show testthat output if: always() diff --git a/.github/workflows/pr-commands.yaml b/.github/workflows/8-pr-commands.yaml similarity index 96% rename from .github/workflows/pr-commands.yaml rename to .github/workflows/8-pr-commands.yaml index c9914e19..cb11c80d 100644 --- a/.github/workflows/pr-commands.yaml +++ b/.github/workflows/8-pr-commands.yaml @@ -5,7 +5,9 @@ on: types: [created] workflow_dispatch: -name: Commands +name: PR Commands +run-name: (8) PR Commands - ${{ github.event.head_commit.message }} - ${{ github.ref_name }} + jobs: document: diff --git a/.github/workflows/build-docker.yaml b/.github/workflows/build-docker.yaml deleted file mode 100644 index 2cd6653d..00000000 --- a/.github/workflows/build-docker.yaml +++ /dev/null @@ -1,73 +0,0 @@ -# This GitHub Actions workflow builds a Docker image for the -# cfa-epinow2-pipeline-docker project. It consists of two jobs: -# build_image_dependencies and build_image. -# -# - The `build_image_dependencies` job carries out the first part of a -# multi-stage build. It downloads and install all the dependencies -# listed in the `DESCRIPTION` file. It uses the `Dockerfile-dependencies` -# file to build the image. -# -# The built image is then pushed to the corresponding registry. -# -# The process is cached to avoid rebuilding the image if the dependencies -# have not changed. This is by hashing the `DESCRIPTION` file and the -# `Dockerfile-dependencies` file. -# -# - The build_image job builds the final image using the `Dockerfile` file. -# It uses the image built in the previous job as a base image. -# -# During the build process, the package is installed and built. Furthermore -# the package is checked using `R CMD check` to ensure that it is working -# correctly. -# -# Once the image is built, it is pushed to the corresponding registry. - -name: Builds Docker image - -on: - push: - branches: - - main - workflow_dispatch: - -env: - IMAGE_NAME: gvegayon/cfa-epinow2-pipeline - REGISTRY: docker.io - -jobs: - build_image_dependencies: - runs-on: ubuntu-latest - steps: - - name: Checkout code - uses: actions/checkout@v4 - - - name: Check cache - uses: actions/cache@v3 - id: cache - with: - key: docker-dependencies-${{ runner.os }}-${{ hashFiles('./DESCRIPTION', './Dockerfile-dependencies') }} - path: - ./DESCRIPTION - - - name: Build and push - uses: docker/build-push-action@v6 - if: steps.cache.outputs.cache-hit != 'true' - with: - push: false - tags: ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:latest - file: ./Dockerfile-dependencies - - outputs: - IMAGE_NAME: ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:latest - - build_image: - needs: build_image_dependencies - runs-on: ubuntu-latest - - steps: - - name: Build and push - uses: docker/build-push-action@v6 - with: - push: false - tags: ${{ needs.build_image_dependencies.outputs.IMAGE_NAME }} - file: ./Dockerfile diff --git a/.github/workflows/gh-act/2-dry.sh b/.github/workflows/gh-act/2-dry.sh new file mode 100644 index 00000000..f147536e --- /dev/null +++ b/.github/workflows/gh-act/2-dry.sh @@ -0,0 +1,9 @@ +#!/bin/bash + +# Requires that you have first run 'gh extension install nektos/gh-act' +# as well as having installed the docker engine and added your user to the docker group + +# This checks syntax before you push to Github Actions, helping with debug hell +# To run the entire pipeline locally, see 2-full.sh + +gh act -P cfa-cdcgov=... -n -W '.github/workflows/2-Run-Epinow2-Pipeline.yaml' diff --git a/.github/workflows/gh-act/2-full.sh b/.github/workflows/gh-act/2-full.sh new file mode 100644 index 00000000..cfafa9ab --- /dev/null +++ b/.github/workflows/gh-act/2-full.sh @@ -0,0 +1,8 @@ +#!/bin/bash + +# Requires that you have first run 'gh extension install nektos/gh-act' +# as well as having installed the docker engine and added your user to the docker group + +# This runs the github actions workflow locally + +gh act -P cfa-cdcgov=catthehacker/ubuntu:full-20.04 -W '.github/workflows/2-Run-Epinow2-Pipeline.yaml' diff --git a/.gitignore b/.gitignore index 2998db10..31f5dcf0 100644 --- a/.gitignore +++ b/.gitignore @@ -380,3 +380,7 @@ docs/site/ # applications that require a static environment. #Manifest.toml docs + +# cfa-epinow2-pool-config.json +# for now... will have to gpg encrypt +cfa-epinow2-batch-pool-config.json diff --git a/.secrets.baseline b/.secrets.baseline index 63f42f9b..4fc48f2d 100644 --- a/.secrets.baseline +++ b/.secrets.baseline @@ -1,5 +1,5 @@ { - "version": "1.4.0", + "version": "1.5.0", "plugins_used": [ { "name": "ArtifactoryDetector" @@ -26,6 +26,9 @@ { "name": "GitHubTokenDetector" }, + { + "name": "GitLabTokenDetector" + }, { "name": "HexHighEntropyString", "limit": 3.0 @@ -36,6 +39,9 @@ { "name": "IbmCosHmacDetector" }, + { + "name": "IPPublicDetector" + }, { "name": "JwtTokenDetector" }, @@ -49,9 +55,15 @@ { "name": "NpmDetector" }, + { + "name": "OpenAIDetector" + }, { "name": "PrivateKeyDetector" }, + { + "name": "PypiTokenDetector" + }, { "name": "SendGridDetector" }, @@ -67,6 +79,9 @@ { "name": "StripeDetector" }, + { + "name": "TelegramBotTokenDetector" + }, { "name": "TwilioKeyDetector" } @@ -108,5 +123,5 @@ } ], "results": {}, - "generated_at": "2023-09-24T19:52:08Z" + "generated_at": "2024-09-20T17:50:20Z" } diff --git a/Dockerfile b/Dockerfile index 22adfd2c..ac300ed5 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,4 +1,5 @@ -FROM gvegayon/cfa-epinow2-pipeline-dependencies:latest +# This requires access to the Azure Container Registry +FROM cfaprdbatchcr.azurecr.io/cfa-epinow2-pipeline-dependencies:latest # Will copy the package to the container preserving the directory structure COPY . pkg/ diff --git a/NEWS.md b/NEWS.md index 4fc17529..9f0b402e 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,6 +1,7 @@ # CFAEpiNow2Pipeline (development version) * Config reader with schema validation and enforcement +* Now uses CFA Azure ACR and images in the workflows and Dockerfiles, etc. * Added Docker image with all the requirements to build the package. * Bump pre-commit hooks * Fix bug in warning message for incomplete data read (h/t @damonbayer) diff --git a/batch-autoscale-formula.txt b/batch-autoscale-formula.txt new file mode 100644 index 00000000..c98a8eea --- /dev/null +++ b/batch-autoscale-formula.txt @@ -0,0 +1,20 @@ +// In this example, the pool size is adjusted based on the number of tasks in the queue. +// Note that both comments and line breaks are acceptable in formula strings. + +// Get pending tasks for the past 15 minutes. +$samples = $ActiveTasks.GetSamplePercent(TimeInterval_Minute * 15); + +// If we have fewer than 70 percent data points, we use the last sample point, +// otherwise we use the maximum of last sample point and the history average. +$tasks = $samples < 70 ? max(0, $ActiveTasks.GetSample(1)) : +max( $ActiveTasks.GetSample(1), avg($ActiveTasks.GetSample(TimeInterval_Minute * 15))); + +// If number of pending tasks is not 0, set targetVM to pending tasks, otherwise half of current dedicated. +$targetVMs = $tasks > 0 ? $tasks : max(0, $TargetDedicatedNodes / 2); + +// The pool size is capped at 120, if target VM value is more than that, set it to 120. +cappedPoolSize = 120; +$TargetDedicatedNodes = max(0, min($targetVMs, cappedPoolSize)); + +// Set node deallocation mode - keep nodes active only until tasks finish +$NodeDeallocationOption = taskcompletion; From 4693447a35e587f3060b88d313cf2144bd34a93e Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 1 Oct 2024 09:14:04 -0400 Subject: [PATCH 11/17] [pre-commit.ci] pre-commit autoupdate (#50) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit updates: - [github.com/astral-sh/ruff-pre-commit: v0.6.7 → v0.6.8](https://github.com/astral-sh/ruff-pre-commit/compare/v0.6.7...v0.6.8) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- .pre-commit-config.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 2a4cab19..307d747e 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -61,7 +61,7 @@ repos: args: ['--profile', 'black', '--line-length', '79'] - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.6.7 + rev: v0.6.8 hooks: - id: ruff ##### From f047717e3fd5d53e2325377b7fbea4095457acf1 Mon Sep 17 00:00:00 2001 From: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> Date: Thu, 3 Oct 2024 16:23:32 -0400 Subject: [PATCH 12/17] Drop unused hooks (#58) * Drop unused hooks From the template repo that are for non-R languages. Closes #57 * Bump NEWS --- .pre-commit-config.yaml | 35 ----------------------------------- NEWS.md | 1 + 2 files changed, 1 insertion(+), 35 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 307d747e..a0a96def 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -45,41 +45,6 @@ repos: language: fail files: '\.(Rhistory|RData|Rds|rds)$' # `exclude: ` to allow committing specific files -##### -# Python -- repo: https://github.com/psf/black - rev: 24.8.0 - hooks: - # if you have ipython notebooks, consider using - # `black-jupyter` hook instead - - id: black - args: ['--line-length', '79'] -- repo: https://github.com/PyCQA/isort - rev: 5.13.2 - hooks: - - id: isort - args: ['--profile', 'black', - '--line-length', '79'] -- repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.6.8 - hooks: - - id: ruff -##### -# Java -- repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks - rev: v2.14.0 - hooks: - - id: pretty-format-java - args: [--aosp,--autofix] -##### -# Julia -# Due to lack of first-class Julia support, this needs Julia local install -# and JuliaFormatter.jl installed in the library -# - repo: https://github.com/domluna/JuliaFormatter.jl -# rev: v1.0.39 -# hooks: -# - id: julia-formatter -##### # Secrets - repo: https://github.com/Yelp/detect-secrets rev: v1.5.0 diff --git a/NEWS.md b/NEWS.md index 9f0b402e..929116b2 100644 --- a/NEWS.md +++ b/NEWS.md @@ -20,3 +20,4 @@ * Set up README with explanation of purpose and scope * Removed `add.R` placeholder * Fix bugs in date casting caused by DuckDB v1.1.1 release +* Drop unused pre-commit hooks From 1e6fbb2fb66410d8f24db00d76416e687f9bca37 Mon Sep 17 00:00:00 2001 From: "George G. Vega Yon" Date: Thu, 3 Oct 2024 23:02:30 +0100 Subject: [PATCH 13/17] 49 fix dependency caching in docker image build (#54) * Moved workflow 1 into workflow 2 and renamed workflow 2 as workflow 1 :) * Forgot to add the workflow * Making pre-commit happy * Adding tag as key for cache * Right string comparison * Right string comparison v2 * Adding build args * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Trying to pass arguments to docker build * Using the ref to id if run in main * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Additional comments by @zsusswein * Now adding 1-3 into 1 (workflows) * Update .github/workflows/1_pre-Test-Model-Image-Build.yaml Co-authored-by: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> * Update .github/workflows/1_pre-Test-Model-Image-Build.yaml Co-authored-by: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> --- .../workflows/1-Build-Dependencies-Image.yaml | 74 ------------ ...yaml => 1_pre-Test-Model-Image-Build.yaml} | 106 ++++++++++++------ .../2_pre-Test-Model-Image-Build.yaml | 42 ------- Dockerfile | 5 +- NEWS.md | 1 + 5 files changed, 77 insertions(+), 151 deletions(-) delete mode 100644 .github/workflows/1-Build-Dependencies-Image.yaml rename .github/workflows/{2-Run-Epinow2-Pipeline.yaml => 1_pre-Test-Model-Image-Build.yaml} (50%) delete mode 100644 .github/workflows/2_pre-Test-Model-Image-Build.yaml diff --git a/.github/workflows/1-Build-Dependencies-Image.yaml b/.github/workflows/1-Build-Dependencies-Image.yaml deleted file mode 100644 index 40526059..00000000 --- a/.github/workflows/1-Build-Dependencies-Image.yaml +++ /dev/null @@ -1,74 +0,0 @@ -name: Build Dependencies Container Image -run-name: (1) Dependencies Image Build - ${{ github.event.head_commit.message }} - ${{ github.ref_name }} - -# This GitHub Actions workflow builds a Dependencies Docker image for the -# cfa-epinow2-pipeline-docker project. -# -# - The `build_image_dependencies` job carries out the first part of a -# multi-stage build. It downloads and installs all the dependencies -# listed in the `DESCRIPTION` file. It uses the `Dockerfile-dependencies` -# file to build the image. -# -# The built image is then pushed to the corresponding registry. -# -# The process is cached to avoid rebuilding the image if the dependencies -# have not changed. This is by hashing the `DESCRIPTION` file and the -# `Dockerfile-dependencies` file. - -# - This built docker image is then referenced by the simply named 'Dockerfile', built in: -# - "2_pre-Test-Model-Image-Build" and -# - "2-Run-Epinow2-Pipeline.yaml" - -on: - push: - branches: - - main - paths: - - "./Dockerfile-dependencies" # the dockerfile this workflow builds from - - "./.github/workflows/build-dependency-image.yaml" # this workflow - - pull_request: - branches: - - main - paths: - - "./Dockerfile-dependencies" # the dockerfile this workflow builds from - - "./.github/workflows/build-dependency-image.yaml" # this workflow - - workflow_dispatch: - -env: - # Together, these form: cfaprdbatchcr.azurecr.io/cfa-epinow2-pipeline - REGISTRY: cfaprdbatchcr.azurecr.io - IMAGE_NAME: cfa-epinow2-pipeline - -jobs: - Job01-build_image_dependencies: - runs-on: cfa-cdcgov # VM based runner serving CFA's cdcgov repos (as opposed to cdcent) - steps: - - name: Checkout code - uses: actions/checkout@v4 - - - name: Check cache - uses: actions/cache@v3 - id: cache - with: - key: docker-dependencies-${{ runner.os }}-${{ hashFiles('./DESCRIPTION', './Dockerfile-dependencies') }} - path: - ./DESCRIPTION - - - name: Login to the Container Registry - uses: docker/login-action@v3 - with: - registry: "cfaprdbatchcr.azurecr.io" - username: "cfaprdbatchcr" - password: ${{ secrets.CFAPRDBATCHCR_REGISTRY_PASSWORD }} - - - name: Build and push - if: steps.cache.outputs.cache-hit != 'true' - uses: docker/build-push-action@v6 - with: - push: true - tags: | - ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}-dependencies:latest - ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}-dependencies:${{ github.sha }} - file: ./Dockerfile-dependencies diff --git a/.github/workflows/2-Run-Epinow2-Pipeline.yaml b/.github/workflows/1_pre-Test-Model-Image-Build.yaml similarity index 50% rename from .github/workflows/2-Run-Epinow2-Pipeline.yaml rename to .github/workflows/1_pre-Test-Model-Image-Build.yaml index d5801941..4bfceabf 100644 --- a/.github/workflows/2-Run-Epinow2-Pipeline.yaml +++ b/.github/workflows/1_pre-Test-Model-Image-Build.yaml @@ -1,28 +1,14 @@ -name: Run Epinow2 Pipeline -run-name: (2) Pipeline - "${{ github.event.head_commit.message }}" +name: Test Model Image Build +run-name: (2_pre) Test Model Image - "${{ github.event.head_commit.message }}" # This GitHub Actions workflow builds a Docker image for the -# cfa-epinow2-pipeline-docker project. -# -# - The build_image job builds the final image using the `Dockerfile` file. -# It uses the image built in "1-Build-Dependencies-Image.yaml" as a base image. -# -# During the build process, the package is installed and built. Furthermore -# the package is checked using `R CMD check` to ensure that it is working -# correctly. -# -# Once the image is built, it is pushed to the corresponding registry. +# cfa-epinow2-pipeline-docker project. In-container tests can be added here. on: - push: - branches: - - main pull_request: branches: - main workflow_dispatch: - schedule: - - cron: "0 12 * * 3" env: # Together, these form: cfaprdbatchcr.azurecr.io/cfa-epinow2-pipeline @@ -31,8 +17,65 @@ env: jobs: + Job01-build_image_dependencies: + runs-on: cfa-cdcgov # VM based runner serving CFA's cdcgov repos (as opposed to cdcent) + + outputs: + tag: ${{ steps.image-tag.outputs.tag }} + + steps: + - name: Checkout code + uses: actions/checkout@v4 + + + # From: https://stackoverflow.com/a/58035262/2097171 + - name: Extract branch name + shell: bash + run: echo "branch=${GITHUB_HEAD_REF:-${GITHUB_REF#refs/heads/}}" >> $GITHUB_OUTPUT + id: branch-name + + - name: Figure out tag (either latest if it is main or the branch name) + id: image-tag + run: | + if [ "${{ steps.branch-name.outputs.branch }}" = "main" ]; then + echo "tag=latest" >> $GITHUB_OUTPUT + else + echo "tag=${{ steps.branch-name.outputs.branch }}" >> $GITHUB_OUTPUT + fi + + - name: Check cache for base image + uses: actions/cache@v4 + id: cache + with: + key: docker-dependencies-${{ runner.os }}-${{ hashFiles('./DESCRIPTION', './Dockerfile-dependencies') }}-${{ steps.image-tag.outputs.tag }} + lookup-only: true + path: + ./DESCRIPTION + + - name: Login to the Container Registry + if: steps.cache.outputs.cache-hit != 'true' + uses: docker/login-action@v3 + with: + registry: "cfaprdbatchcr.azurecr.io" + username: "cfaprdbatchcr" + password: ${{ secrets.CFAPRDBATCHCR_REGISTRY_PASSWORD }} + + - name: Build and push + if: steps.cache.outputs.cache-hit != 'true' + uses: docker/build-push-action@v6 + with: + push: true + tags: | + ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}-dependencies:${{ steps.image-tag.outputs.tag }} + file: ./Dockerfile-dependencies + _01_build-model-image: - runs-on: cfa-cdcgov # + needs: Job01-build_image_dependencies + runs-on: cfa-cdcgov + + outputs: + tag: ${{ needs.Job01-build_image_dependencies.outputs.tag }} + steps: - name: Login to the Container Registry @@ -42,26 +85,28 @@ jobs: username: "cfaprdbatchcr" password: ${{ secrets.CFAPRDBATCHCR_REGISTRY_PASSWORD }} - # Comment out if you want to just test the pool creation without waiting for build and push - - name: Build and push model pipeline image for Azure batch # second stage, the actual payload + - name: Build and push model pipeline image for Azure batch id: build_and_push_model_image uses: docker/build-push-action@v6 with: - push: true + push: true # This can be toggled manually for tweaking. tags: | - ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:latest - ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:${{ github.sha }} - file: ./Dockerfile # second stage Dockerfile + ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:test-${{ needs.Job01-build_image_dependencies.outputs.tag }} + file: ./Dockerfile + build-args: | + TAG=${{ needs.Job01-build_image_dependencies.outputs.tag }} _02_create-batch-pool-and-submit-jobs: runs-on: cfa-cdcgov - needs: - - _01_build-model-image + needs: _01_build-model-image permissions: contents: read packages: write + env: + TAG: ${{ needs._01_build-model-image.outputs.tag }} + steps: - name: Checkout Repo id: checkout_repo @@ -74,19 +119,13 @@ jobs: # managed by EDAV. Contact Amit Mantri or Jon Kislin if you have issues. creds: ${{ secrets.EDAV_CFA_PREDICT_NNHT_SP }} - - - name: Get Github Short sha - run: | - shortSHA=$(git rev-parse --short ${{ github.sha }}) - echo "SHORT_SHA=$shortSHA" >> $GITHUB_ENV - - name: Create cfa-epinow2-pipeline Pool id: create_batch_pool # Every Azure Batch Pool parameter can simply go here, # no python module or config toml necessary env: - POOL_ID: "cfa-epinow2-${{ env.SHORT_SHA }}" # version the pools with the github sha + POOL_ID: "cfa-epinow2-${{ env.TAG }}" BATCH_ACCOUNT: "cfaprdba" BATCH_ENDPOINT: "https://cfaprdba.eastus.batch.azure.com/" VM_IMAGE_TAG: "canonical:0001-com-ubuntu-server-focal:20_04-lts" @@ -94,7 +133,6 @@ jobs: VM_SIZE: "standard_a4m_v2" RESOURCE_GROUP: ${{ secrets.PRD_RESOURCE_GROUP }} - # The call to the az cli that actually generates the pool run: | az batch account login \ diff --git a/.github/workflows/2_pre-Test-Model-Image-Build.yaml b/.github/workflows/2_pre-Test-Model-Image-Build.yaml deleted file mode 100644 index 9a79e3dd..00000000 --- a/.github/workflows/2_pre-Test-Model-Image-Build.yaml +++ /dev/null @@ -1,42 +0,0 @@ -name: Test Model Image Build -run-name: (2_pre) Test Model Image - "${{ github.event.head_commit.message }}" - -# This GitHub Actions workflow builds a Docker image for the -# cfa-epinow2-pipeline-docker project. In-container tests can be added here. - -on: - pull_request: - branches: - - main - workflow_dispatch: - schedule: - # Tuesdays at noon GMT time, 24 hours before the prod container is built and deployed - - cron: "0 12 * * 2" - -env: - # Together, these form: cfaprdbatchcr.azurecr.io/cfa-epinow2-pipeline - REGISTRY: cfaprdbatchcr.azurecr.io - IMAGE_NAME: cfa-epinow2-pipeline - -jobs: - - _01_build-model-image: - runs-on: cfa-cdcgov - steps: - - - name: Login to the Container Registry - uses: docker/login-action@v3 - with: - registry: "cfaprdbatchcr.azurecr.io" - username: "cfaprdbatchcr" - password: ${{ secrets.CFAPRDBATCHCR_REGISTRY_PASSWORD }} - - - name: Build and push model pipeline image for Azure batch - id: build_and_push_model_image - uses: docker/build-push-action@v6 - with: - push: false # This can be toggled manually for tweaking. - tags: | - ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:buildtest-latest - ${{ env.REGISTRY}}/${{ env.IMAGE_NAME }}:buildtest-${{ github.sha }} - file: ./Dockerfile diff --git a/Dockerfile b/Dockerfile index ac300ed5..c0361a80 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,5 +1,8 @@ +# Adding arguments +ARG TAG=local + # This requires access to the Azure Container Registry -FROM cfaprdbatchcr.azurecr.io/cfa-epinow2-pipeline-dependencies:latest +FROM cfaprdbatchcr.azurecr.io/cfa-epinow2-pipeline-dependencies:${TAG} # Will copy the package to the container preserving the directory structure COPY . pkg/ diff --git a/NEWS.md b/NEWS.md index 929116b2..2531b7f3 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,6 +1,7 @@ # CFAEpiNow2Pipeline (development version) * Config reader with schema validation and enforcement +* Merges workflows 1 and 2 into a single workflow. * Now uses CFA Azure ACR and images in the workflows and Dockerfiles, etc. * Added Docker image with all the requirements to build the package. * Bump pre-commit hooks From f27ed7a4662d597ef1116199a080bda8c91cd7d4 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 8 Oct 2024 09:03:24 -0400 Subject: [PATCH 14/17] [pre-commit.ci] pre-commit autoupdate (#64) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit updates: - [github.com/pre-commit/pre-commit-hooks: v4.6.0 → v5.0.0](https://github.com/pre-commit/pre-commit-hooks/compare/v4.6.0...v5.0.0) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- .pre-commit-config.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index a0a96def..226597b8 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -18,7 +18,7 @@ repos: - id: no-debug-statement - id: deps-in-desc - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.6.0 + rev: v5.0.0 hooks: - id: check-added-large-files args: ['--maxkb=200'] From a72c5baa41536d379e29a2b6e8221d2d57164772 Mon Sep 17 00:00:00 2001 From: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> Date: Tue, 8 Oct 2024 09:07:04 -0400 Subject: [PATCH 15/17] Write model run outputs (#41) * Ignore CI/CD stuff in Rbuildignore * Extract diagnostics from fitted model * Basic output schema * Use `.pre-commit.config.yaml` from main To fix weirdness with unicode parsing error from.....somewhere? * Update output schema * Bump NEWS * Bump NEWS * Expand on readme * Use setequal for column name checks h/t @natemcintosh * Apply suggestions from code review Co-authored-by: Adam Howes * Update with Adam's review * Update R/write_output.R * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update R/extract_diagnostics.R Co-authored-by: Katie Gostic (she/her) * Add alert with dates for low case count diagnostic * Apply suggestions from code review Co-authored-by: Adam Howes * Use new R-universe Stan repository * Update README.md Co-authored-by: Katie Gostic (she/her) * Update README.md Co-authored-by: Katie Gostic (she/her) * Condense dir creation * Expose quantiles for summarization * Save the description of the different EpiNow2 params * Add comment explaining why dates work * Clarify comment on EpiNow2 param outputs * Add `reports` to output --------- Co-authored-by: Adam Howes Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Katie Gostic (she/her) --- .Rbuildignore | 2 + .gitattributes | 2 + .pre-commit-config.yaml | 1 + DESCRIPTION | 11 +- NAMESPACE | 6 + NEWS.md | 1 + R/es | 0 R/extract_diagnostics.R | 195 ++++++++++ R/write_output.R | 363 +++++++++++++++++++ README.md | 65 ++++ man/extract_diagnostics.Rd | 62 ++++ man/low_case_count_diagnostic.Rd | 26 ++ man/sample_processing_functions.Rd | 28 ++ man/write_model_outputs.Rd | 38 ++ man/write_output_dir_structure.Rd | 23 ++ tests/testthat/data/sample_fit.rds | Bin 0 -> 1082897 bytes tests/testthat/helper-write_parameter_file.R | 3 +- tests/testthat/test-extract_diagnostics.R | 158 ++++++++ tests/testthat/test-write_output.R | 317 ++++++++++++++++ 19 files changed, 1298 insertions(+), 3 deletions(-) create mode 100644 R/es create mode 100644 R/extract_diagnostics.R create mode 100644 R/write_output.R create mode 100644 man/extract_diagnostics.Rd create mode 100644 man/low_case_count_diagnostic.Rd create mode 100644 man/sample_processing_functions.Rd create mode 100644 man/write_model_outputs.Rd create mode 100644 man/write_output_dir_structure.Rd create mode 100644 tests/testthat/data/sample_fit.rds create mode 100644 tests/testthat/test-extract_diagnostics.R create mode 100644 tests/testthat/test-write_output.R diff --git a/.Rbuildignore b/.Rbuildignore index 8ae3faf3..af67f6c0 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -1,6 +1,7 @@ ^CONTRIBUTING.md$ ^DISCLAIMER.md$ ^Dockerfile$ +^Dockerfile-dependencies$ ^LICENSE.md$ ^Makefile$ ^\.github$ @@ -10,6 +11,7 @@ ^\.vscode$ ^\.vscode$ ^_pkgdown\.yml$ +^batch-autoscale-formula.txt$ ^code-of-conduct.md$ ^codecov\.yml$ ^data-raw$ diff --git a/.gitattributes b/.gitattributes index ab87cc58..e136624c 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1,3 +1,5 @@ +NEWS.md merge=union + # Normal text let sit to auto *.htm text *.html text diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 226597b8..7c0638ef 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -44,6 +44,7 @@ repos: entry: Cannot commit .Rhistory, .RData, .Rds or .rds. language: fail files: '\.(Rhistory|RData|Rds|rds)$' + exclude: '^tests/testthat/data/.*\.rds$' # `exclude: ` to allow committing specific files # Secrets - repo: https://github.com/Yelp/detect-secrets diff --git a/DESCRIPTION b/DESCRIPTION index 2ae3bfa6..c1297feb 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -27,10 +27,17 @@ Imports: AzureRMR, AzureStor, cli, + data.table, DBI, + dplyr, duckdb, EpiNow2 (>= 1.4.0), - rlang + jsonlite, + rlang, + rstan, + tidybayes +Additional_repositories: + https://stan-dev.r-universe.dev URL: https://cdcgov.github.io/cfa-epinow2-pipeline/ Imports: cli, @@ -38,5 +45,5 @@ Imports: jsonvalidate, rlang Depends: - R (>= 2.10) + R (>= 3.50) LazyData: true diff --git a/NAMESPACE b/NAMESPACE index 91ab3c40..a7ea1386 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -4,13 +4,19 @@ export(fetch_config) export(validate_config) export(apply_exclusions) export(download_from_azure_blob) +export(extract_diagnostics) export(fetch_blob_container) export(fetch_credential_from_env_var) export(fit_model) export(format_delay_interval) export(format_generation_interval) export(format_right_truncation) +export(low_case_count_diagnostic) +export(process_quantiles) +export(process_samples) export(read_data) export(read_disease_parameters) export(read_exclusions) export(read_interval_pmf) +export(write_model_outputs) +export(write_output_dir_structure) diff --git a/NEWS.md b/NEWS.md index 2531b7f3..e5a0c933 100644 --- a/NEWS.md +++ b/NEWS.md @@ -22,3 +22,4 @@ * Removed `add.R` placeholder * Fix bugs in date casting caused by DuckDB v1.1.1 release * Drop unused pre-commit hooks +* Write outputs to file diff --git a/R/es b/R/es new file mode 100644 index 00000000..e69de29b diff --git a/R/extract_diagnostics.R b/R/extract_diagnostics.R new file mode 100644 index 00000000..f0bd4595 --- /dev/null +++ b/R/extract_diagnostics.R @@ -0,0 +1,195 @@ +#' Extract diagnostic metrics from model fit and data +#' +#' This function extracts various diagnostic metrics from a fitted `EpiNow2` +#' model and provided data. It checks for low case counts and computes +#' diagnostics from the fitted model, including the mean acceptance +#' statistic, divergent transitions, maximum tree depth, and Rhat values. +#' These diagnostics are then flagged if they exceed specific thresholds, +#' and the results are returned as a data frame. +#' +#' @param fit The model fit object from `EpiNow2` +#' @param data A data frame containing the input data used in the model fit. +#' @param job_id A unique identifier for the job +#' @param task_id A unique identifier for the task +#' @param disease,geo_value,model Metadata for downstream processing. +#' +#' @return A \code{data.frame} containing the extracted diagnostic metrics. The +#' data frame includes the following columns: +#' \itemize{ +#' \item \code{diagnostic}: The name of the diagnostic metric. +#' \item \code{value}: The value of the diagnostic metric. +#' \item \code{job_id}: The unique identifier for the job. +#' \item \code{task_id}: The unique identifier for the task. +#' \item \code{disease,geo_value,model}: Metadata for downstream processing. +#' } +#' +#' @details +#' The following diagnostics are calculated: +#' \itemize{ +#' \item \code{mean_accept_stat}: The average acceptance statistic across +#' all chains. +#' \item \code{p_divergent}: The *proportion* of divergent transitions across +#' all samples. +#' \item \code{n_divergent}: The *number* of divergent transitions across +#' all samples. +#' \item \code{p_max_treedepth}: The proportion of samples that hit the +#' maximum tree depth. +#' \item \code{p_high_rhat}: The *proportion* of parameters with Rhat values +#' greater than 1.05, indicating potential convergence issues. +#' \item \code{n_high_rhat}: The *number* of parameters with Rhat values +#' greater than 1.05, indicating potential convergence issues. +#' \item \code{low_case_count_flag}: A flag indicating if there are low case +#' counts in the data. See \code{low_case_count_diagnostic()} for more +#' information on this diagnostic. +#' \item \code{epinow2_diagnostic_flag}: A combined flag that indicates if +#' any diagnostic thresholds are exceeded. The diagnostic thresholds +#' (1) mean_accept_stat < 0.1, (2) p_divergent > 0.0075, (3) +#' p_max_treedepth > 0.05, and (4) p_high_rhat > 0.0075. +#' } +#' @export +extract_diagnostics <- function(fit, + data, + job_id, + task_id, + disease, + geo_value, + model) { + low_case_count <- low_case_count_diagnostic(data) + + epinow2_diagnostics <- rstan::get_sampler_params(fit$estimates$fit, + inc_warmup = FALSE + ) + mean_accept_stat <- mean( + sapply(epinow2_diagnostics, function(x) mean(x[, "accept_stat__"])) + ) + p_divergent <- mean( + rstan::get_divergent_iterations(fit$estimates$fit), + na.rm = TRUE + ) + n_divergent <- sum( + rstan::get_divergent_iterations(fit$estimates$fit), + na.rm = TRUE + ) + p_max_treedepth <- mean( + rstan::get_max_treedepth_iterations(fit$estimates$fit), + na.rm = TRUE + ) + p_high_rhat <- mean( + rstan::summary(fit$estimates$fit)$summary[, "Rhat"] > 1.05, + na.rm = TRUE + ) + n_high_rhat <- sum( + rstan::summary(fit$estimates$fit)$summary[, "Rhat"] > 1.05, + na.rm = TRUE + ) + + + # Combine all diagnostic flags into one flag + diagnostic_flag <- any( + mean_accept_stat < 0.1, + p_divergent > 0.0075, # 0.0075 = 15 in 2000 samples are divergent + p_max_treedepth > 0.05, + p_high_rhat > 0.0075 + ) + # Create individual vectors for the columns of the diagnostics data frame + diagnostic_names <- c( + "mean_accept_stat", + "p_divergent", + "n_divergent", + "p_max_treedepth", + "p_high_rhat", + "n_high_rhat", + "diagnostic_flag", + "low_case_count_flag" + ) + diagnostic_values <- c( + mean_accept_stat, + p_divergent, + n_divergent, + p_max_treedepth, + p_high_rhat, + n_high_rhat, + diagnostic_flag, + low_case_count + ) + + data.frame( + diagnostic = diagnostic_names, + value = diagnostic_values, + job_id = job_id, + task_id = task_id, + disease = disease, + geo_value = geo_value, + model = model + ) +} + +#' Calculate low case count diagnostic flag +#' +#' The diagnostic flag is TRUE if either of the _last_ two weeks of the dataset +#' have fewer than an aggregate 10 cases per week. This aggregation excludes the +#' count from confirmed outliers, which have been set to NA in the data. +#' +#' This function assumes that the `df` input dataset has been +#' "completed": that any implicit missingness has been made explicit. +#' +#' @param df A dataframe as returned by [read_data()]. The dataframe must +#' include columns such as `reference_date` (a date vector) and `confirm` +#' (the number of confirmed cases per day). +#' +#' @return A logical value (TRUE or FALSE) indicating whether either of the last +#' two weeks in the dataset had fewer than 10 cases per week. +#' @export +low_case_count_diagnostic <- function(df) { + cli::cli_alert_info("Calculating low case count diagnostic") + # Get the dates in the last and second-to-last weeks + last_date <- as.Date(max(df[["reference_date"]], na.rm = TRUE)) + # Create week sequences explicitly in case of missingness + ult_week_min <- last_date - 6 + ult_week_max <- last_date + pen_week_min <- last_date - 13 + pen_week_max <- last_date - 7 + ultimate_week_dates <- seq.Date( + from = ult_week_min, + to = ult_week_max, + by = "day" + ) + penultimate_week_dates <- seq.Date( + from = pen_week_min, + to = pen_week_max, + by = "day" + ) + + ultimate_week_count <- sum( + df[ + df[["reference_date"]] %in% ultimate_week_dates, + "confirm" + ], + na.rm = TRUE + ) + penultimate_week_count <- sum( + df[ + df[["reference_date"]] %in% penultimate_week_dates, + "confirm" + ], + na.rm = TRUE + ) + + + cli::cli_alert_info(c( + "Ultimate week spans {format(ult_week_min, '%a, %Y-%m-%d')} ", + "to {format(ult_week_max, '%a, %Y-%m-%d')} with ", + "count {.val {ultimate_week_count}}" + )) + cli::cli_alert_info(c( + "Penultimate week spans ", + "{format(pen_week_min, '%a, %Y-%m-%d')} to ", + "{format(pen_week_max, '%a, %Y-%m-%d')} with ", + "count {.val {penultimate_week_count}}" + )) + + any( + ultimate_week_count < 10, + penultimate_week_count < 10 + ) +} diff --git a/R/write_output.R b/R/write_output.R new file mode 100644 index 00000000..bcc5e3d9 --- /dev/null +++ b/R/write_output.R @@ -0,0 +1,363 @@ +#' Write model outputs to specified directories +#' +#' Processes the model fit, extracts samples and quantiles, +#' and writes them to the appropriate directories. +#' +#' @param fit An EpiNow2 fit object with posterior estimates. +#' @param output_dir String. The base output directory path. +#' @param samples A data.table as returned by [process_samples()] +#' @param summaries A data.table as returned by [process_quantiles()] +#' @param job_id String. The identifier for the job. +#' @param task_id String. The identifier for the task. +#' @param metadata List. Additional metadata to be included in the output. +#' +#' @return Invisible NULL. The function is called for its side effects. +#' @export +write_model_outputs <- function( + fit, + samples, + summaries, + output_dir, + job_id, + task_id, + metadata = list()) { + rlang::try_fetch( + { + # Create directory structure + write_output_dir_structure(output_dir, job_id, task_id) + + # Write raw samples + samples_path <- file.path( + output_dir, + job_id, + "samples", + paste0(task_id, ".parquet") + ) + write_parquet(samples, samples_path) + cli::cli_alert_success("Wrote samples to {.path {samples_path}}") + + # Process and write summarized quantiles + summaries_path <- file.path( + output_dir, + job_id, + "summaries", + paste0(task_id, ".parquet") + ) + write_parquet(summaries, summaries_path) + cli::cli_alert_success("Wrote summaries to {.path {summaries_path}}") + + # Write EpiNow2 model + model_path <- file.path( + output_dir, + job_id, + "tasks", + task_id, + "model.rds" + ) + saveRDS(fit, model_path) + cli::cli_alert_success("Wrote model to {.path {model_path}}") + + # Write model run metadata + metadata_path <- file.path( + output_dir, + job_id, + "tasks", + task_id, + "metadata.json" + ) + jsonlite::write_json(metadata, metadata_path, pretty = TRUE) + cli::cli_alert_success("Wrote metadata to {.path {metadata_path}}") + }, + error = function(cnd) { + # Downgrade erroring out to a warning so we can catch and log + cli::cli_warn( + "Failure writing outputs", + parent = cnd, + class = "no_outputs" + ) + } + ) + + invisible(NULL) +} + +#' Create output directory structure for a given job and task. +#' +#' This function generates the necessary directory structure for storing output +#' files related to a job and its tasks, including directories for raw samples +#' and summarized quantiles. +#' +#' @param output_dir String. The base output directory path. +#' @param job_id String. The identifier for the job. +#' @param task_id String. The identifier for the task. +#' +#' @return The path to the base output directory (invisible). +#' @export +write_output_dir_structure <- function(output_dir, job_id, task_id) { + # Define the directory structure + dirs <- c( + output_dir, + file.path(output_dir, job_id), + file.path(output_dir, job_id, "tasks"), + file.path(output_dir, job_id, "samples"), + file.path(output_dir, job_id, "summaries"), + file.path(output_dir, job_id, "tasks", task_id) + ) + + # Create directories + lapply(dirs, dir.create, showWarnings = FALSE) + + invisible(output_dir) +} + +#' Extract posterior draws from a Stan fit object. +#' +#' This function extracts posterior draws for specific parameters from a Stan +#' fit object and prepares a fact table containing unique date-time-parameter +#' combinations for further merging. +#' +#' @param fit A Stan fit object with posterior estimates. +#' +#' @return A list containing two elements: `stan_draws` (the extracted draws in +#' long format) and `fact_table` (a table of unique date-time-parameter +#' combinations). +#' @noRd +extract_draws_from_fit <- function(fit) { + # Step 1: Extract unique date-time-parameter combinations + fact_table <- fit[["estimates"]][["samples"]][, + c("date", "time", "parameter"), + with = FALSE + ] + fact_table <- stats::na.omit(unique(fact_table)) + + # Step 1.1: Add corresponding 'obs_cases' rows for 'latent_cases' dates + # Some of the `*_reports` parameters are indexed from time 1, ..., T and some + # go to time T + forecast horizon. `imputed_reports` goes out to T + forecast + # horizon so we can do a downstream join and that will save only up to the max + # timepoint for that parameter. + obs_fact_table <- fact_table[ + fact_table[["parameter"]] == "imputed_reports", + ] + reports_fact_table <- data.table::copy(obs_fact_table) + + # The EpiNow2 summary table has the variable `imputed_reports` + # for nowcast-corrected cases, but not `obs_reports` for right- + # truncated cases to compare to the observed data. We want both. + # + # The dates for `obs_reports` are the same as for `imputed_reports` + # (their differences are the nowcast correction + error structure). + # From Sam: imputed reports have error and are corrected for right-truncation + # (a posterior pred of the final observed value). Obs reports is the + # expected value actually observed in real time but without obs error. + # Get the dates for `obs_reports` by pulling out the `imputed_reports` + # dates and update the associated variable name in-place. Bind it back + # to the original fact table to have all desired variable-date combinations. + data.table::set(obs_fact_table, j = "parameter", value = factor( + obs_fact_table[["parameter"]], + levels = c("imputed_reports"), + labels = c("obs_reports") + )) + data.table::set(reports_fact_table, j = "parameter", value = factor( + reports_fact_table[["parameter"]], + levels = c("imputed_reports"), + labels = c("reports") + )) + + + # Combine original fact_table with new 'obs_reports' rows + fact_table <- rbind(fact_table, + obs_fact_table, + reports_fact_table, + fill = TRUE + ) + data.table::setnames( + fact_table, + old = c("parameter"), + new = c(".variable") + ) + + # Step 2: Extract desired parameters from the Stan object as posterior draws + stanfit <- fit[["estimates"]][["fit"]] + # Hacky workaround to avoid R CMD check NOTE on "no visible global binding" + # for variables in a dataframe evaluated via NSE. To use tidybayes, we need to + # use NSE, so giving these a global binding. The standard dplyr hacks + # (str2lang, .data prefix) didn't work here because it's not dplyr and we're + # not accessing a dataframe. + imputed_reports <- obs_reports <- R <- r <- time <- NULL # nolint + stan_draws <- tidybayes::gather_draws( + stanfit, + reports[time], + imputed_reports[time], + obs_reports[time], + R[time], + r[time], + ) |> + data.table::as.data.table() + + return(list(stan_draws = stan_draws, fact_table = fact_table)) +} + +#' Post-process and merge posterior draws with a fact table. +#' +#' This function merges posterior draws with a fact table containing +#' date-time-parameter combinations. It also standardizes parameter names and +#' renames key columns. +#' +#' @param draws A data.table of posterior draws (either raw or summarized). +#' @param fact_table A data.table of unique date-time-parameter combinations. +#' +#' @return A data.table with merged posterior draws and standardized parameter +#' names. +#' @noRd +post_process_and_merge <- function( + draws, + fact_table, + geo_value, + model, + disease) { + # Step 1: Left join the date-time-parameter map onto the Stan draws + merged_dt <- merge( + draws, + fact_table, + by = c("time", ".variable"), + all.x = TRUE, + all.y = FALSE + ) + + # Step 2: Standardize parameter names + data.table::set(merged_dt, j = ".variable", value = factor( + merged_dt[[".variable"]], + levels = c( + "reports", + "imputed_reports", + "obs_reports", + "R", + "r" + ), + labels = c( + "expected_nowcast_cases", + "pp_nowcast_cases", + "expected_obs_cases", + "Rt", + "growth_rate" + ) + )) + + # Step 3: Rename columns as necessary + data.table::setnames( + merged_dt, + old = c( + ".draw", ".chain", ".variable", ".value", ".lower", ".upper", ".width", + ".point", ".interval", "date", ".iteration" + ), + new = c( + "_draw", "_chain", "_variable", "value", "_lower", "_upper", "_width", + "_point", "_interval", "reference_date", "_iteration" + ), + # If using summaries, skip draws-specific names + skip_absent = TRUE + ) + + # Metadata for downstream querying without path parsing or joins + data.table::set(merged_dt, j = "geo_value", value = factor(geo_value)) + data.table::set(merged_dt, j = "model", value = factor(model)) + data.table::set(merged_dt, j = "disease", value = factor(disease)) + + return(merged_dt) +} + +#' Process posterior samples from a Stan fit object (raw draws). +#' +#' Extracts raw posterior samples from a Stan fit object and post-processes +#' them, including merging with a fact table and standardizing the parameter +#' names. If calling `process_quantiles()` the 50% and 95% intervals are +#' returned in `{tidybayes}` format. +#' +#' @param fit An EpiNow2 fit object with posterior estimates. +#' @param disease,geo_value,model Metadata for downstream processing. +#' @param quantiles A vector of quantiles to base to [tidybayes::median_qi()] +#' +#' @return A data.table of posterior draws or quantiles, merged and processed. +#' +#' @name sample_processing_functions +NULL + +#' @rdname sample_processing_functions +#' @export +process_samples <- function(fit, geo_value, model, disease) { + draws_list <- extract_draws_from_fit(fit) + raw_processed_output <- post_process_and_merge( + draws_list$stan_draws, + draws_list$fact_table, + geo_value, + model, + disease + ) + return(raw_processed_output) +} + +#' @rdname sample_processing_functions +#' @export +process_quantiles <- function( + fit, + geo_value, + model, + disease, + quantiles) { + # Step 1: Extract the draws + draws_list <- extract_draws_from_fit(fit) + + # Step 2: Summarize the draws + .variable <- time <- NULL # nolint + summarized_draws <- draws_list$stan_draws |> + dplyr::group_by(.variable, time) |> + tidybayes::median_qi( + .width = quantiles, + ) |> + data.table::as.data.table() + + # Step 3: Post-process summarized draws + post_process_and_merge( + summarized_draws, + draws_list$fact_table, + geo_value, + model, + disease + ) +} + +write_parquet <- function(data, path) { + # This is bad practice but `dbBind()` doesn't allow us to parameterize COPY + # ... TO. The danger of doing it this way seems quite low risk because it's + # ephemeral from a temporary in-memory DB. There's no actual database to + # guard against a SQL injection attack and all the data are already available + # here. + query <- paste0( + "COPY (SELECT * FROM df) TO '", + path, + "' (FORMAT PARQUET, CODEC 'zstd')" + ) + con <- DBI::dbConnect(duckdb::duckdb()) + on.exit(expr = DBI::dbDisconnect(con)) + + rlang::try_fetch( + { + duckdb::duckdb_register(con, "df", data) + DBI::dbExecute( + con, + statement = query + ) + }, + error = function(con) { + cli::cli_abort( + c( + "Error writing data to {.path {path}}", + "Original error: {con}" + ), + class = "wrapped_invalid_query" + ) + } + ) + + invisible(path) +} diff --git a/README.md b/README.md index af555fa3..2b888f24 100644 --- a/README.md +++ b/README.md @@ -197,6 +197,71 @@ An object containing options for the Stan HMC algorithm. **Note**: All date strings should follow the `YYYY-MM-DD` format to ensure consistency and proper parsing. +## Output format + +The end goals of this package is to standardize the raw outputs from EpiNow2 into samples and summaries tables, and to write those standardized outputs, along with relevant metadata, logs, etc. to a standard directory structure. Once in CFA's standard format, the outputs can be passed into a separate pipeline that handles post-processing (e.g. plotting, scoring, analysis) of Rt estimates from several different Rt estimation models. + +### Directories + +The nested partitioning structure of the outputs is designed to facilitate both automated processes and manual investigation: files are organized by job and task IDs, allowing for efficient file operations using glob patterns, while also maintaining a clear hierarchy that aids human users in navigating to specific results or logs. Files meant primarily for machine-readable consumption (i.e., draws, summaries, diagnostics) are structured together to make globbing easier. Files meant primarily for human investigation (i.e., logs, model fit object) are grouped together by task to facilitate manual workflows. +In this workflow, task IDs correspond to location specific model runs (which are independent of one another) and the jobid refers to a unique model run and disease. For example, a production job should contain task IDs for each of the 50 states and the US, but a job submitted for testing or experimentation might contain a smaller number of tasks/locations. + +```bash +/ +├── job_/ +│ ├── raw_samples/ +│ │ ├── samples_.parquet +│ ├── summarized_quantiles/ +│ │ ├── summarized_.parquet +│ ├── diagnostics/ +│ │ ├── diagnostics_.parquet +│ ├── tasks/ +│ │ ├── task_/ +│ │ │ ├── model.rds +│ │ │ ├── metadata.json +│ │ │ ├── stdout.log +│ │ │ └── stderr.log +│ ├── job_metadata.json +``` + +`/`: The base output directory. This could, for example, be `/` in a Docker container or dedicated output directory. +- `job_/`: A directory named after the specific job identifier, containing all outputs related to that job. All tasks within a job share this same top-level directory. + - `raw_samples/`: A subdirectory within each job folder that holds the raw sample files from all tasks in the job. Task-specific *draws* output files all live together in this directory to enable easy globbing over task-partitioned outputs. + - `samples_.parquet`: A file containing raw samples from the model, associated with a particular task identifier. This file has columns `job_id`, `task_id`, `geo_value`, `disease`, `model`, `_draw`, `_chain`, `_iteration`, `_variable`, `value`, and `reference_date`. These variables follow the [{tidybayes}](https://mjskay.github.io/tidybayes/articles/tidybayes.html) specification. + - `summarized_quantiles/`: A subdirectory for storing summarized quantile data. Task-specific *summarized* output files all live together in this directory to enable easy globbing over task-partitioned outputs. + - `summarized_.parquet`: A file with summarized quantiles relevant to a specific task identifier. This file has columns `job_id`, `task_id`, `geo_value`, `disease`, `model`, `value`, `_lower`, `_upper`, `_width`, `_point`, `_interval`, and `reference_date`. These variables follow the [{tidybayes}](https://mjskay.github.io/tidybayes/articles/tidybayes.html) specification. + - `diagnostics/`: A subdirectory for storing model fit diagnostics. Task-specific *diagnostic* output files all live together in this directory to enable easy globbing over task-partitioned outputs. + - `diagnostic_.parquet`: A file with diagnostics relevant to a specific task identifier. This file has columns `diagnostic`, `value`, `job_id`, `task_id`, `geo_value`, `disease`, and `model`. + - `tasks/`: This directory contains subdirectories for each task within a job. These are files that are less likely to require globbing from the data lake than manual investigation, so are stored togehter. + - `task_/`: Each task has its own folder identified by the task ID, which includes several files: + - `model.rds`: An RDS file storing the EpiNow2 model object fit to the data. + - `metadata.json`: A JSON file containing additional metadata about the model run for this task. + - `stdout.log`: A log file capturing standard output from the model run process. + - `stderr.log`: A log file capturing standard error output from the model run process. +- `job_metadata.json`: A JSON file located in the root of each job's directory, providing metadata about the entire job. + +### Model-estimated quantities + +EpiNow2 estimates the incident cases $\hat y_{td}$ for timepoint $t \in \{1, ..., T\}$ and delay $d \in \{1, ..., D\}$ where $D \le T$. In the single vintage we're providing to EpiNow2, the delay $d$ moves inversely to timepoints, so $d = T - t + 1$. + +The observed data vector of length $T$ is $y_{td} \in W$. We supply a nowcasting correction PMF $\nu$ for the last $D$ timepoints where $\nu_d \in [0, 1],$ and $\sum_{d=1}^D\nu_d = 1$. We also have some priors $\Theta$. + +We use EpiNow2's generative model $f(y, \nu, \Theta)$. + +EpiNow2 is a forward model that produces an expected nowcasted case count for each $t$ and $d$ pair: $\hat \gamma_{td}$. + It applies the nowcasting correction $\nu$ to the last $D$ timepoints of $\hat \gamma$ to produce the expected right-truncated case count $\hat y$. Note that these _expected_ case counts (with and without right-truncation) don't have observation noise included. + +We can apply negative binomial observation noise using EpiNow2's estimate of the negative binomial overdispersion parameter $\hat \phi$ and the expected case counts. The posterior predictive distributions of nowcasted case counts is $\tilde \gamma \sim \text{NB}(\hat \gamma, \hat \phi)$. The posterior predicted right-truncated case count is $\tilde y \sim \text{NB}(\hat y, \hat \phi)$. + +We can get 3 of these 4 quantities pre-generated from the returned EpiNow2 Stan model: + +- $\hat \gamma$: The expected nowcasted case count is `reports[t]` +- $\hat y$: The expected right-truncated case count is `obs_reports[t]` +- $\tilde \gamma$: The posterior-predicted nowcasted case count is `imputed_reports[t]` +- $\tilde y$: The posterior-predicted right-truncated case count isn't returned by EpiNow2. + +We also save the $R_t$ estimate at time $t$ and the intrinsic growth rate at time $t$. + ## Project Admin - @zsusswein diff --git a/man/extract_diagnostics.Rd b/man/extract_diagnostics.Rd new file mode 100644 index 00000000..5eb2e006 --- /dev/null +++ b/man/extract_diagnostics.Rd @@ -0,0 +1,62 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/extract_diagnostics.R +\name{extract_diagnostics} +\alias{extract_diagnostics} +\title{Extract diagnostic metrics from model fit and data} +\usage{ +extract_diagnostics(fit, data, job_id, task_id, disease, geo_value, model) +} +\arguments{ +\item{fit}{The model fit object from \code{EpiNow2}} + +\item{data}{A data frame containing the input data used in the model fit.} + +\item{job_id}{A unique identifier for the job} + +\item{task_id}{A unique identifier for the task} + +\item{disease, geo_value, model}{Metadata for downstream processing.} +} +\value{ +A \code{data.frame} containing the extracted diagnostic metrics. The +data frame includes the following columns: +\itemize{ +\item \code{diagnostic}: The name of the diagnostic metric. +\item \code{value}: The value of the diagnostic metric. +\item \code{job_id}: The unique identifier for the job. +\item \code{task_id}: The unique identifier for the task. +\item \code{disease,geo_value,model}: Metadata for downstream processing. +} +} +\description{ +This function extracts various diagnostic metrics from a fitted \code{EpiNow2} +model and provided data. It checks for low case counts and computes +diagnostics from the fitted model, including the mean acceptance +statistic, divergent transitions, maximum tree depth, and Rhat values. +These diagnostics are then flagged if they exceed specific thresholds, +and the results are returned as a data frame. +} +\details{ +The following diagnostics are calculated: +\itemize{ +\item \code{mean_accept_stat}: The average acceptance statistic across +all chains. +\item \code{p_divergent}: The \emph{proportion} of divergent transitions across +all samples. +\item \code{n_divergent}: The \emph{number} of divergent transitions across +all samples. +\item \code{p_max_treedepth}: The proportion of samples that hit the +maximum tree depth. +\item \code{p_high_rhat}: The \emph{proportion} of parameters with Rhat values +greater than 1.05, indicating potential convergence issues. +\item \code{n_high_rhat}: The \emph{number} of parameters with Rhat values +greater than 1.05, indicating potential convergence issues. +\item \code{low_case_count_flag}: A flag indicating if there are low case +counts in the data. See \code{low_case_count_diagnostic()} for more +information on this diagnostic. +\item \code{epinow2_diagnostic_flag}: A combined flag that indicates if +any diagnostic thresholds are exceeded. The diagnostic thresholds +(1) mean_accept_stat < 0.1, (2) p_divergent > 0.0075, (3) +p_max_treedepth > 0.05, and (4) p_high_rhat > 0.0075. +} +} diff --git a/man/low_case_count_diagnostic.Rd b/man/low_case_count_diagnostic.Rd new file mode 100644 index 00000000..94657e94 --- /dev/null +++ b/man/low_case_count_diagnostic.Rd @@ -0,0 +1,26 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/extract_diagnostics.R +\name{low_case_count_diagnostic} +\alias{low_case_count_diagnostic} +\title{Calculate low case count diagnostic flag} +\usage{ +low_case_count_diagnostic(df) +} +\arguments{ +\item{df}{A dataframe as returned by \code{\link[=read_data]{read_data()}}. The dataframe must +include columns such as \code{reference_date} (a date vector) and \code{confirm} +(the number of confirmed cases per day).} +} +\value{ +A logical value (TRUE or FALSE) indicating whether either of the last +two weeks in the dataset had fewer than 10 cases per week. +} +\description{ +The diagnostic flag is TRUE if either of the \emph{last} two weeks of the dataset +have fewer than an aggregate 10 cases per week. This aggregation excludes the +count from confirmed outliers, which have been set to NA in the data. +} +\details{ +This function assumes that the \code{df} input dataset has been +"completed": that any implicit missingness has been made explicit. +} diff --git a/man/sample_processing_functions.Rd b/man/sample_processing_functions.Rd new file mode 100644 index 00000000..01ee99ce --- /dev/null +++ b/man/sample_processing_functions.Rd @@ -0,0 +1,28 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/write_output.R +\name{sample_processing_functions} +\alias{sample_processing_functions} +\alias{process_samples} +\alias{process_quantiles} +\title{Process posterior samples from a Stan fit object (raw draws).} +\usage{ +process_samples(fit, geo_value, model, disease) + +process_quantiles(fit, geo_value, model, disease, quantiles) +} +\arguments{ +\item{fit}{An EpiNow2 fit object with posterior estimates.} + +\item{disease, geo_value, model}{Metadata for downstream processing.} + +\item{quantiles}{A vector of quantiles to base to \code{\link[tidybayes:reexports]{tidybayes::median_qi()}}} +} +\value{ +A data.table of posterior draws or quantiles, merged and processed. +} +\description{ +Extracts raw posterior samples from a Stan fit object and post-processes +them, including merging with a fact table and standardizing the parameter +names. If calling \code{process_quantiles()} the 50\% and 95\% intervals are +returned in \code{{tidybayes}} format. +} diff --git a/man/write_model_outputs.Rd b/man/write_model_outputs.Rd new file mode 100644 index 00000000..f1991ed0 --- /dev/null +++ b/man/write_model_outputs.Rd @@ -0,0 +1,38 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/write_output.R +\name{write_model_outputs} +\alias{write_model_outputs} +\title{Write model outputs to specified directories} +\usage{ +write_model_outputs( + fit, + samples, + summaries, + output_dir, + job_id, + task_id, + metadata = list() +) +} +\arguments{ +\item{fit}{An EpiNow2 fit object with posterior estimates.} + +\item{samples}{A data.table as returned by \code{\link[=process_samples]{process_samples()}}} + +\item{summaries}{A data.table as returned by \code{\link[=process_quantiles]{process_quantiles()}}} + +\item{output_dir}{String. The base output directory path.} + +\item{job_id}{String. The identifier for the job.} + +\item{task_id}{String. The identifier for the task.} + +\item{metadata}{List. Additional metadata to be included in the output.} +} +\value{ +Invisible NULL. The function is called for its side effects. +} +\description{ +Processes the model fit, extracts samples and quantiles, +and writes them to the appropriate directories. +} diff --git a/man/write_output_dir_structure.Rd b/man/write_output_dir_structure.Rd new file mode 100644 index 00000000..e9cf169c --- /dev/null +++ b/man/write_output_dir_structure.Rd @@ -0,0 +1,23 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/write_output.R +\name{write_output_dir_structure} +\alias{write_output_dir_structure} +\title{Create output directory structure for a given job and task.} +\usage{ +write_output_dir_structure(output_dir, job_id, task_id) +} +\arguments{ +\item{output_dir}{String. The base output directory path.} + +\item{job_id}{String. The identifier for the job.} + +\item{task_id}{String. The identifier for the task.} +} +\value{ +The path to the base output directory (invisible). +} +\description{ +This function generates the necessary directory structure for storing output +files related to a job and its tasks, including directories for raw samples +and summarized quantiles. +} diff --git a/tests/testthat/data/sample_fit.rds b/tests/testthat/data/sample_fit.rds new file mode 100644 index 0000000000000000000000000000000000000000..7a137f7e0381fb96eb749c35f796de34d642f790 GIT binary patch literal 1082897 zcmce+cT`jBx-Y!dwd{Z$>C1w2kS={;0qN2^Nbf{SKmq|31*uU8B~m4dEJVzg6(P`vOS#Vx$UxlW@;N9y9U4-nqb zG6Thl-2?!1K=f_iAFCFZf`5}wmT#hs`<1rgl&6rt&LjS(atNt1d(jjS{34_g<}MGc zOJGCni2h&5del&b>rIWHXAWNp{5lo+g=6o;|9Y~ARv*co-}t$rJU$RsSIH)|edT{H zV@H`|4gDA3yrs6S(^IGwL5GF^x1{8VUc%kQLYp_yWZ}Fk(+`a5fdLHxA+^97;$lP& zgc6`W+_(Qg;6F~bkGdB@$-_h_P_7g-@QEa5Lh+JZvQgi)RvZ= zG~_GBX{*wwq(IrfB(U%(;yuUqE%ooQd;fo(j70f9UGrV^Tz)W~PFPahH;7Cn9Oeg^ zqDQAOU#AB!k!?d}mbPcYIUR`9qjaFAu+-VM>mPh>dEZ(8WBvB}HaFs*f{Q|C{dVig 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zn*hSNZuQz44<5p1$e(q%SJH6XY*1z1FE5CD+1=?ZQlVdEF_@^5z$sCBqfAeZ(SA$m z@XjGF3IC`YXA8pLj~4bS@vitfUT+qNxTeA$YszXtK;nBXuqAxvRjT&;tcGy)`fD5K zIXr{P&WV-tQ9S;xQO7FV;oy7m=E;~e)!gD5~?2HXkF%*Of3UzliU{2ANO}yOA@d1zC4KxzpW^e{bbU4TrreZUb}`P$EY(*7 zHLbX^rjBZqIhNcHuYZFJ(}}0#)^Ztrr9Vg6$kcJ>UcLU8DbbG%Dupit(sGy_P+k&a cr}gXa>nd;!9)5R4426Y-bF8k6kOuqz0Qnv{u>b%7 literal 0 HcmV?d00001 diff --git a/tests/testthat/helper-write_parameter_file.R b/tests/testthat/helper-write_parameter_file.R index 387ec9ca..0d7e60a5 100644 --- a/tests/testthat/helper-write_parameter_file.R +++ b/tests/testthat/helper-write_parameter_file.R @@ -6,6 +6,7 @@ write_sample_parameters_file <- function(value, parameter, start_date, end_date) { + Sys.sleep(0.05) df <- data.frame( start_date = as.Date(start_date), geo_value = state, @@ -16,6 +17,7 @@ write_sample_parameters_file <- function(value, ) con <- DBI::dbConnect(duckdb::duckdb()) + on.exit(DBI::dbDisconnect(con)) duckdb::duckdb_register(con, "test_table", df) # This is bad practice but `dbBind()` doesn't allow us to parameterize COPY @@ -24,7 +26,6 @@ write_sample_parameters_file <- function(value, # guard against a SQL injection attack. query <- paste0("COPY (SELECT * FROM test_table) TO '", path, "'") DBI::dbExecute(con, query) - DBI::dbDisconnect(con) invisible(path) } diff --git a/tests/testthat/test-extract_diagnostics.R b/tests/testthat/test-extract_diagnostics.R new file mode 100644 index 00000000..f7cc948b --- /dev/null +++ b/tests/testthat/test-extract_diagnostics.R @@ -0,0 +1,158 @@ +test_that("Fitted model extracts diagnostics", { + # Arrange + data_path <- test_path("data/test_data.parquet") + con <- DBI::dbConnect(duckdb::duckdb()) + data <- DBI::dbGetQuery(con, " + SELECT + report_date, + reference_date, + disease, + geo_value AS state_abb, + value AS confirm + FROM read_parquet(?) + WHERE reference_date <= '2023-01-22'", + params = list(data_path) + ) + DBI::dbDisconnect(con) + fit_path <- test_path("data", "sample_fit.rds") + fit <- readRDS(fit_path) + + # Expected diagnostics + expected <- data.frame( + diagnostic = c( + "mean_accept_stat", + "p_divergent", + "n_divergent", + "p_max_treedepth", + "p_high_rhat", + "n_high_rhat", + "diagnostic_flag", + "low_case_count_flag" + ), + value = c( + 0.94240233, + 0.00000000, + 0.00000000, + 0.00000000, + 0.00000000, + 0.00000000, + 0.00000000, + 0.00000000 + ), + job_id = rep("test", 8), + task_id = rep("test", 8), + disease = rep("test", 8), + geo_value = rep("test", 8), + model = rep("test", 8), + stringsAsFactors = FALSE + ) + actual <- extract_diagnostics( + fit, + data, + "test", + "test", + "test", + "test", + "test" + ) + + testthat::expect_equal( + actual, + expected + ) +}) + +test_that("Cases below threshold returns TRUE", { + # Arrange + true_df <- data.frame( + reference_date = seq.Date( + from = as.Date("2023-01-01"), + by = "day", + length.out = 14 + ), + confirm = c(9, rep(0, 12), 9) + ) + + # Act + diagnostic <- low_case_count_diagnostic(true_df) + + # Assert + expect_true(diagnostic) +}) + +test_that("Cases above threshold returns FALSE", { + # Arrange + false_df <- data.frame( + reference_date = seq.Date( + from = as.Date("2023-01-01"), + by = "day", + length.out = 14 + ), + confirm = rep(10, 14) + ) + + # Act + diagnostic <- low_case_count_diagnostic(false_df) + + # Assert + expect_false(diagnostic) +}) + + +test_that("Only the last two weeks are evalated", { + # Arrange + # 3 weeks, first week would pass but last week does not + df <- data.frame( + reference_date = seq.Date( + from = as.Date("2023-01-01"), + by = "day", + length.out = 21 + ), + # Week 1: 700, Week 2: 700, Week 3: 0 + confirm = c(rep(100, 14), rep(0, 7)) + ) + + # Act + diagnostic <- low_case_count_diagnostic(df) + + # Assert + expect_true(diagnostic) +}) + +test_that("Old approach's negative is now positive", { + # Arrange + df <- data.frame( + reference_date = seq.Date( + from = as.Date("2023-01-01"), + by = "day", + length.out = 14 + ), + # Week 1: 21, Week 2: 0 + confirm = c(rep(3, 7), rep(0, 7)) + ) + + # Act + diagnostic <- low_case_count_diagnostic(df) + + # Assert + expect_true(diagnostic) +}) + +test_that("NAs are evalated as 0", { + # Arrange + df <- data.frame( + reference_date = seq.Date( + from = as.Date("2023-01-01"), + by = "day", + length.out = 14 + ), + # Week 1: 6 (not NA!), Week 2: 700 + confirm = c(NA_real_, rep(1, 6), rep(100, 7)) + ) + + # Act + diagnostic <- low_case_count_diagnostic(df) + + # Assert + expect_true(diagnostic) +}) diff --git a/tests/testthat/test-write_output.R b/tests/testthat/test-write_output.R new file mode 100644 index 00000000..343f704b --- /dev/null +++ b/tests/testthat/test-write_output.R @@ -0,0 +1,317 @@ +test_that("write_model_outputs writes files and directories correctly", { + # Setup: Create a temporary directory and mock inputs + temp_output_dir <- tempfile() + dir.create(temp_output_dir) + + job_id <- "job_123" + task_id <- "task_456" + + # Create mock fit object + mock_fit <- list(estimates = 1:5) + mock_samples <- data.frame(x = 1) + mock_summaries <- data.frame(y = 2) + mock_metadata <- list(author = "Test", date = "2023-01-01") + + # Run the function + withr::with_tempdir({ + write_model_outputs( + mock_fit, + mock_samples, + mock_summaries, + ".", + job_id, + task_id, + mock_metadata + ) + + # Check if the directory structure was created + expect_true(dir.exists(file.path(job_id, "samples"))) + expect_true(dir.exists(file.path(job_id, "summaries"))) + expect_true(dir.exists(file.path(job_id, "tasks", task_id))) + + # Check if raw samples Parquet file was written + samples_file <- file.path( + job_id, + "samples", + paste0(task_id, ".parquet") + ) + expect_true(file.exists(samples_file)) + + # Check if summarized quantiles Parquet file was written + summarized_file <- file.path( + job_id, + "summaries", + paste0(task_id, ".parquet") + ) + expect_true(file.exists(summarized_file)) + + # Check if model rds file was written + model_file <- file.path( + job_id, + "tasks", + task_id, + "model.rds" + ) + expect_true(file.exists(model_file)) + + # Check if metadata JSON file was written + metadata_file <- file.path( + job_id, + "tasks", + task_id, + "metadata.json" + ) + expect_true(file.exists(metadata_file)) + + # Check file contents are right + con <- DBI::dbConnect(duckdb::duckdb()) + on.exit(expr = DBI::dbDisconnect(con)) + raw_samples_data <- DBI::dbGetQuery(con, + "SELECT * FROM read_parquet(?)", + params = list(samples_file) + ) + expect_equal(raw_samples_data, mock_samples) + + raw_summaries_data <- DBI::dbGetQuery(con, + "SELECT * FROM read_parquet(?)", + params = list(summarized_file) + ) + expect_equal(raw_summaries_data, mock_summaries) + + + written_metadata <- jsonlite::read_json(metadata_file) + jsonlite::write_json(mock_metadata, "expected.json") + expected_metadata <- jsonlite::read_json(metadata_file) + + expect_equal(written_metadata, expected_metadata) + }) +}) + +test_that("write_model_outputs handles errors correctly", { + # Setup: Use an invalid directory to trigger an error + invalid_output_dir <- "/invalid/path" + + # Create mock inputs + mock_fit <- list(samples = 1:5) + mock_metadata <- list(author = "Test", date = Sys.Date()) + + # Expect the function to raise a warning due to the invalid directory + withr::with_tempdir({ + expect_warning( + write_model_outputs( + mock_fit, + invalid_output_dir, + "job_123", + "task_456", + mock_metadata + ), + class = "no_outputs" + ) + }) +}) + +test_that("write_output_dir_structure generates dirs", { + withr::with_tempdir({ + write_output_dir_structure(".", job_id = "job", task_id = "task") + + expect_true(dir.exists(file.path("job", "tasks", "task"))) + expect_true(dir.exists(file.path("job", "samples"))) + expect_true(dir.exists(file.path("job", "summaries"))) + }) +}) + +test_that("process_quantiles works as expected", { + # Load the sample fit object + fit <- readRDS(test_path("data", "sample_fit.rds")) + + # Run the function on the fit object + result <- process_quantiles( + fit, + "test_geo", + "test_model", + "test_disease", + c(0.5, 0.95) + ) + + # Test 1: Check if the result is a data.table + expect_true( + data.table::is.data.table(result), + "The result should be a data.table" + ) + + # Test 2: Check if the necessary columns exist in the result + expected_columns <- c( + "time", + "_variable", + "value", + "_lower", + "_upper", + "_width", + "_point", + "_interval", + "reference_date", + "geo_value", + "model", + "disease" + ) + expect_setequal( + colnames(result), expected_columns + ) + + # Test 3: Check if the result contains the correct number of rows + expected_num_rows <- 50 + expect_equal(nrow(result), expected_num_rows, + info = paste("The result should have", expected_num_rows, "rows") + ) + + # Test 4: Check if the `parameter` column contains the expected values + expected_parameters <- c( + "Rt", + "expected_nowcast_cases", + "expected_obs_cases", + "growth_rate", + "pp_nowcast_cases" + ) + unique_parameters <- sort(unique(as.character(result[["_variable"]]))) + expect_equal( + unique_parameters, expected_parameters + ) + + # Test 5: Check if there are no missing values + expect_false( + anyNA(result), + "Columns have NA values" + ) + + # Test 6: Verify the left join: all `time` values from + # `stan_draws` should exist in the result + stan_draws <- tidybayes::gather_draws( + fit[["estimates"]][["fit"]], + imputed_reports[time], + obs_reports[time], + R[time], + r[time] + ) |> + tidybayes::median_qi(.width = c(0.5, 0.95)) |> + data.table::as.data.table() + + expect_true( + all(stan_draws$time %in% result$time), + "All time values from the Stan fit should be present in the result" + ) +}) + +test_that("process_samples works as expected", { + # Load the sample fit object + fit <- readRDS(test_path("data", "sample_fit.rds")) + + # Run the function on the fit object + result <- process_samples(fit, "test_geo", "test_model", "test_disease") + + # Test 1: Check if the result is a data.table + expect_true( + data.table::is.data.table(result), + "The result should be a data.table" + ) + + # Test 2: Check if the necessary columns exist in the result + expected_columns <- c( + "time", + "_variable", + "_chain", + "_iteration", + "_draw", + "value", + "reference_date", + "geo_value", + "model", + "disease" + ) + expect_setequal( + colnames(result), expected_columns + ) + + # Test 3: Check if the result contains the correct number of rows + expected_num_rows <- 2500 # Replace with actual expected value + expect_equal(nrow(result), expected_num_rows, + info = paste("The result should have", expected_num_rows, "rows") + ) + + # Test 4: Check if the `parameter` column contains the expected values + expected_parameters <- c( + "Rt", + "expected_nowcast_cases", + "expected_obs_cases", + "growth_rate", + "pp_nowcast_cases" + ) + unique_parameters <- sort(unique(as.character(result[["_variable"]]))) + expect_equal( + unique_parameters, expected_parameters + ) + + # Test 5: Check if there are no missing values + expect_false( + anyNA(result), + "Columns have NA values" + ) + + # Test 6: Verify the left join: all `time` values from + # `stan_draws` should exist in the result + stan_draws <- tidybayes::gather_draws( + fit[["estimates"]][["fit"]], + imputed_reports[time], + obs_reports[time], + R[time], + r[time] + ) |> + tidybayes::median_qi(.width = c(0.5, 0.95)) |> + data.table::as.data.table() + + expect_true( + all(stan_draws$time %in% result$time), + "All time values from the Stan fit should be present in the result" + ) +}) + +test_that("write_parquet successfully writes data to parquet", { + # Prepare temporary file and sample data + + + temp_path <- "test.parquet" + test_data <- data.frame( + id = 1:5, + value = c("A", "B", "C", "D", "E") + ) + + # Run the function + withr::with_tempdir({ + result <- write_parquet(test_data, temp_path) + + # Check if the function returns the correct path + expect_equal(result, temp_path) + + # Check if the parquet file exists + expect_true(file.exists(temp_path)) + + # Read the file back to ensure data was written correctly + con <- DBI::dbConnect(duckdb::duckdb()) + on.exit(expr = DBI::dbDisconnect(con)) + actual <- DBI::dbGetQuery(con, "SELECT * FROM 'test.parquet'") + + # Verify the data matches the input + expect_equal(actual, test_data) + }) +}) + +test_that("write_parquet handles errors correctly", { + # Prepare a temporary path that should fail (invalid directory) + invalid_path <- "/invalid/path/test.parquet" + test_data <- data.frame(id = 1:5, value = c("A", "B", "C", "D", "E")) + + # Expect the function to throw an error when writing to an invalid path + expect_error( + write_parquet(test_data, invalid_path), + class = "wrapped_invalid_query" + ) +}) From 5e2542686800c39ee5501916c546a1ccf4bae537 Mon Sep 17 00:00:00 2001 From: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> Date: Tue, 15 Oct 2024 13:35:02 -0400 Subject: [PATCH 16/17] Update key `iter_samples` to `iter_sampling` (#77) * Update key `iter_samples` to `iter_sampling` It was already documented as `iter_sampling` in the docs, but the code expected `iter_samples`. `iter_sampling` follows `{cmdstanr}` syntax: https://mc-stan.org/cmdstanr/reference/model-method-sample.html `iter_samples` is an accidental portmanteau of EpiNow2's desired `samples` arg and `iter_sampling`. Closes #73 * Bump NEWS --- Makefile | 9 +++++++++ NEWS.md | 1 + R/fit_model.R | 2 +- tests/testthat/test-fit_model.R | 6 +++--- 4 files changed, 14 insertions(+), 4 deletions(-) diff --git a/Makefile b/Makefile index 0b6d1027..4c1d6be6 100644 --- a/Makefile +++ b/Makefile @@ -15,3 +15,12 @@ push: run: $(CNTR_PROG) run -it --rm -v $(PWD):/mnt $(IMAGE_NAME) + +test: + Rscript -e "testthat::test_local()" + +document: + Rscript -e "roxygen2::roxygenize()" + +check: + Rscript -e "rcmdcheck::rcmdcheck()" diff --git a/NEWS.md b/NEWS.md index e5a0c933..e9f79d0d 100644 --- a/NEWS.md +++ b/NEWS.md @@ -23,3 +23,4 @@ * Fix bugs in date casting caused by DuckDB v1.1.1 release * Drop unused pre-commit hooks * Write outputs to file +* Specify number of samples draws with `iter_sampling` diff --git a/R/fit_model.R b/R/fit_model.R index b9bfb7ad..f81eafd7 100644 --- a/R/fit_model.R +++ b/R/fit_model.R @@ -53,7 +53,7 @@ fit_model <- function( # and below as the R PRNG seed for EpiNow2 initialization seed = seed, warmup = sampler_opts[["iter_warmup"]], - samples = sampler_opts[["iter_samples"]], + samples = sampler_opts[["iter_sampling"]], control = list( adapt_delta = sampler_opts[["adapt_delta"]], max_treedepth = sampler_opts[["max_treedepth"]] diff --git a/tests/testthat/test-fit_model.R b/tests/testthat/test-fit_model.R index fb7f9761..ba768719 100644 --- a/tests/testthat/test-fit_model.R +++ b/tests/testthat/test-fit_model.R @@ -39,7 +39,7 @@ test_that("Minimal model fit all params runs", { adapt_delta = 0.8, max_treedepth = 10, iter_warmup = 100, - iter_samples = 100 + iter_sampling = 100 ) fit <- fit_model( @@ -95,7 +95,7 @@ test_that("Minimal model fit with no right trunc or delay runs", { adapt_delta = 0.8, max_treedepth = 10, iter_warmup = 100, - iter_samples = 100 + iter_sampling = 100 ) fit <- fit_model( @@ -156,7 +156,7 @@ test_that("Bad params w/ failing fit issues warning and returns NA", { adapt_delta = 0.8, max_treedepth = 10, iter_warmup = -100, - iter_samples = 100 + iter_sampling = 100 ) expect_warning( From 3f7e043fe64fb242d05faec579e4bf6146aef8c4 Mon Sep 17 00:00:00 2001 From: Zachary Susswein <46581799+zsusswein@users.noreply.github.com> Date: Tue, 15 Oct 2024 13:41:10 -0400 Subject: [PATCH 17/17] Fix NOTE from unassigned variable (#76) * Fix NOTE from unassigned variable Additional NSE problems. Closes #75 * Bump NEWS --- NEWS.md | 1 + R/write_output.R | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/NEWS.md b/NEWS.md index e9f79d0d..238510f3 100644 --- a/NEWS.md +++ b/NEWS.md @@ -24,3 +24,4 @@ * Drop unused pre-commit hooks * Write outputs to file * Specify number of samples draws with `iter_sampling` +* Fix NOTE from missing variable name used with NSE diff --git a/R/write_output.R b/R/write_output.R index bcc5e3d9..07245858 100644 --- a/R/write_output.R +++ b/R/write_output.R @@ -183,7 +183,7 @@ extract_draws_from_fit <- function(fit) { # use NSE, so giving these a global binding. The standard dplyr hacks # (str2lang, .data prefix) didn't work here because it's not dplyr and we're # not accessing a dataframe. - imputed_reports <- obs_reports <- R <- r <- time <- NULL # nolint + imputed_reports <- obs_reports <- R <- r <- time <- reports <- NULL # nolint stan_draws <- tidybayes::gather_draws( stanfit, reports[time],

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