feat(vertexai): Support google_vertex_ai_feature_group

mmv1/products/vertexai/FeatureGroup.yaml

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+# Copyright 2023 Google Inc.
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+--- !ruby/object:Api::Resource
+name: FeatureGroup
+base_url: projects/{{project}}/locations/{{region}}/featureGroups
+create_url: projects/{{project}}/locations/{{region}}/featureGroups?featureGroupId={{name}}
+self_link: projects/{{project}}/locations/{{region}}/featureGroups/{{name}}
+update_verb: :PATCH
+update_mask: true
+create_verb: :POST
+references: !ruby/object:Api::Resource::ReferenceLinks
+  guides:
+    'Creating a Feature Group': 'https://cloud.google.com/vertex-ai/docs/featurestore/latest/create-featuregroup'
+  api: 'https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featureGroups'
+async: !ruby/object:Api::OpAsync
+  actions:
+    - create
+    - delete
+    - update
+  operation: !ruby/object:Api::OpAsync::Operation
+    path: 'name'
+    base_url: '{{op_id}}'
+    wait_ms: 1000
+  result: !ruby/object:Api::OpAsync::Result
+    path: 'response'
+    resource_inside_response: true
+  status: !ruby/object:Api::OpAsync::Status
+    path: 'done'
+    complete: true
+    allowed:
+      - true
+      - false
+  error: !ruby/object:Api::OpAsync::Error
+    path: 'error'
+    message: 'message'
+description: Vertex AI Feature Group.
+autogen_async: false
+examples:
+  - !ruby/object:Provider::Terraform::Examples
+    name: vertex_ai_feature_group
+    primary_resource_id: feature_group
+    ignore_read_extra:
+      - description
+    vars:
+      job_id: job_load
+      feature_group_name: example_feature_group
+parameters:
+  - !ruby/object:Api::Type::String
+    name: region
+    description: The region of feature group. eg us-central1
+    url_param_only: true
+    immutable: true
+properties:
+  - !ruby/object:Api::Type::String
+    name: name
+    description: The resource name of the Feature Group.
+    custom_flatten: templates/terraform/custom_flatten/name_from_self_link.erb
+  - !ruby/object:Api::Type::String
+    name: createTime
+    output: true
+    description: The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
+  - !ruby/object:Api::Type::String
+    name: updateTime
+    output: true
+    description: The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
+  - !ruby/object:Api::Type::String
+    name: etag
+    description: Used to perform consistent read-modify-write updates.
+    output: true
+    ignore_read: true
+  - !ruby/object:Api::Type::KeyValueLabels
+    name: labels
+    description: The labels with user-defined metadata to organize your FeatureGroup.
+  - !ruby/object:Api::Type::String
+    name: description
+    description: The description of the FeatureGroup.
+    # When API starts returning description, this line should be removed.
+    custom_flatten: templates/terraform/custom_flatten/vertex_ai_feature_group_ignore_description.go.erb
+  - !ruby/object:Api::Type::NestedObject
+    name: bigQuery
+    description: Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source.
+    properties:
+      - !ruby/object:Api::Type::NestedObject
+        name: bigQuerySource
+        required: true
+        immutable: true
+        description: The BigQuery source URI that points to either a BigQuery Table or View.
+        properties:
+          - !ruby/object:Api::Type::String
+            name: 'inputUri'
+            required: true
+            description: 'BigQuery URI to a table, up to 2000 characters long. For example: `bq://projectId.bqDatasetId.bqTableId.`'
+      - !ruby/object:Api::Type::Array
+        name: entityIdColumns
+        description: Columns to construct entityId / row keys. Currently only supports 1 entity_id_column. If not provided defaults to entityId.
+        item_type: Api::Type::String

mmv1/templates/terraform/custom_flatten/vertex_ai_feature_group_ignore_description.go.erb

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+<%# The license inside this block applies to this file.
+	# Copyright 2023 Google Inc.
+	# Licensed under the Apache License, Version 2.0 (the "License");
+	# you may not use this file except in compliance with the License.
+	# You may obtain a copy of the License at
+	#
+	#     http://www.apache.org/licenses/LICENSE-2.0
+	#
+	# Unless required by applicable law or agreed to in writing, software
+	# distributed under the License is distributed on an "AS IS" BASIS,
+	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+	# See the License for the specific language governing permissions and
+	# limitations under the License.
+-%>
+func flatten<%= prefix -%><%= titlelize_property(property) -%>(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return d.Get("description")
+}

mmv1/templates/terraform/examples/vertex_ai_feature_group.tf.erb

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+  resource "google_vertex_ai_feature_group" "<%= ctx[:primary_resource_id] %>" {
+  name = "<%= ctx[:vars]['feature_group_name'] %>"
+  description = "A sample feature group"
+  region = "us-central1"
+  labels = {
+      label-one = "value-one"
+  }
+  big_query {
+    big_query_source {
+        # The source table must have a column named 'feature_timestamp' of type TIMESTAMP.
+        input_uri = "bq://${google_bigquery_table.sample_table.project}.${google_bigquery_table.sample_table.dataset_id}.${google_bigquery_table.sample_table.table_id}"
+    }
+    entity_id_columns = ["feature_id"]
+  }
+}
+
+resource "google_bigquery_dataset" "sample_dataset" {
+  dataset_id                  = "<%= ctx[:vars]['job_id'] %>_dataset"
+  friendly_name               = "test"
+  description                 = "This is a test description"
+  location                    = "US"
+}
+
+resource "google_bigquery_table" "sample_table" {
+  deletion_protection = false
+  dataset_id = google_bigquery_dataset.sample_dataset.dataset_id
+  table_id   = "<%= ctx[:vars]['job_id'] %>_table"
+
+  schema = <<EOF
+[
+    {
+        "name": "feature_id",
+        "type": "STRING",
+        "mode": "NULLABLE"
+    },
+    {
+        "name": "feature_timestamp",
+        "type": "TIMESTAMP",
+        "mode": "NULLABLE"
+    }
+]
+EOF
+}

mmv1/third_party/terraform/services/vertexai/resource_vertex_ai_feature_group_test.go

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+package vertexai_test
+
+import (
+	"testing"
+
+	"github.com/hashicorp/terraform-plugin-sdk/v2/helper/resource"
+
+	"github.com/hashicorp/terraform-provider-google/google/acctest"
+)
+
+func TestAccVertexAIFeatureGroup_updated(t *testing.T) {
+	t.Parallel()
+
+	context := map[string]interface{}{
+		"random_suffix": acctest.RandString(t, 10),
+	}
+
+	acctest.VcrTest(t, resource.TestCase{
+		PreCheck:                 func() { acctest.AccTestPreCheck(t) },
+		ProtoV5ProviderFactories: acctest.ProtoV5ProviderFactories(t),
+		CheckDestroy:             testAccCheckVertexAIFeatureGroupDestroyProducer(t),
+		Steps: []resource.TestStep{
+			{
+				Config: testAccVertexAIFeatureGroup_basic(context),
+			},
+			{
+				ResourceName:            "google_vertex_ai_feature_group.feature_group",
+				ImportState:             true,
+				ImportStateVerify:       true,
+				ImportStateVerifyIgnore: []string{"etag", "region", "description", "labels", "terraform_labels"},
+			},
+			{
+				Config: testAccVertexAIFeatureGroup_updated(context),
+			},
+			{
+				ResourceName:            "google_vertex_ai_feature_group.feature_group",
+				ImportState:             true,
+				ImportStateVerify:       true,
+				ImportStateVerifyIgnore: []string{"etag", "region", "description", "labels", "terraform_labels"},
+			},
+		},
+	})
+}
+
+func testAccVertexAIFeatureGroup_basic(context map[string]interface{}) string {
+	return acctest.Nprintf(`
+  resource "google_vertex_ai_feature_group" "feature_group" {
+  name = "tf_test_feature_group%{random_suffix}"
+  description = "A sample feature group"
+  region = "us-central1"
+  labels = {
+      label-one = "value-one"
+  }
+  big_query {
+    big_query_source {
+        input_uri = "bq://${google_bigquery_table.sample_table.project}.${google_bigquery_table.sample_table.dataset_id}.${google_bigquery_table.sample_table.table_id}"
+    }
+    entity_id_columns = ["feature_id"]
+  }
+}
+
+resource "google_bigquery_dataset" "sample_dataset" {
+  dataset_id                  = "tf_test_job_load%{random_suffix}_dataset"
+  friendly_name               = "test"
+  description                 = "This is a test description"
+  location                    = "US"
+}
+
+resource "google_bigquery_table" "sample_table" {
+  deletion_protection = false
+  dataset_id = google_bigquery_dataset.sample_dataset.dataset_id
+  table_id   = "tf_test_job_load%{random_suffix}_table"
+
+  schema = <<EOF
+[
+    {
+        "name": "feature_id",
+        "type": "STRING",
+        "mode": "NULLABLE"
+    },
+    {
+        "name": "feature_timestamp",
+        "type": "TIMESTAMP",
+        "mode": "NULLABLE"
+    }
+]
+EOF
+}
+`, context)
+}
+
+func testAccVertexAIFeatureGroup_updated(context map[string]interface{}) string {
+	return acctest.Nprintf(`
+  resource "google_vertex_ai_feature_group" "feature_group" {
+  name = "tf_test_feature_group%{random_suffix}"
+  description = "A sample feature group (updated)"
+  region = "us-central1"
+  labels = {
+      label-one = "value-one"
+	  label-two = "value-two"
+  }
+  big_query {
+    big_query_source {
+        input_uri = "bq://${google_bigquery_table.sample_table.project}.${google_bigquery_table.sample_table.dataset_id}.${google_bigquery_table.sample_table.table_id}"
+    }
+    entity_id_columns = ["feature_id"]
+  }
+}
+
+resource "google_bigquery_dataset" "sample_dataset" {
+  dataset_id                  = "tf_test_job_load%{random_suffix}_dataset"
+  friendly_name               = "test"
+  description                 = "This is a test description"
+  location                    = "US"
+}
+
+resource "google_bigquery_table" "sample_table" {
+  deletion_protection = false
+  dataset_id = google_bigquery_dataset.sample_dataset.dataset_id
+  table_id   = "tf_test_job_load%{random_suffix}_table"
+
+  schema = <<EOF
+[
+    {
+        "name": "feature_id",
+        "type": "STRING",
+        "mode": "NULLABLE"
+    },
+    {
+        "name": "feature_timestamp",
+        "type": "TIMESTAMP",
+        "mode": "NULLABLE"
+    }
+]
+EOF
+}
+`, context)
+}