Automatically generated by magic modules for service: vertex_ai and resource: HyperparameterTuningJob.

This commit includes the following changes:
- Singular Resource
- Plural Resource
- Documentation updates
- Terraform configuration
- Integration tests

Signed-off-by: Samir Anand <sam.sunny001@gmail.com>

Author: samiranand1990

build/inspec/test/integration/build/gcp-mm.tf

@@ -1360,72 +1360,56 @@ resource "google_healthcare_dataset" "default" {
 }
 
 
-resource "google_vertex_ai_featurestore" "featurestore" {
-  name     = "terraform-${local.name_suffix}"
-  labels = {
-    foo = "bar"
-  }
-  region   = "us-central1"
-  online_serving_config {
-    fixed_node_count = 2
-  }
+resource "google_service_directory_namespace" "example" {
+  provider     = google-beta
+  namespace_id = "example-namespace-${local.name_suffix}"
+  location     = "us-central1"
 }
 
-resource "google_vertex_ai_featurestore_entitytype" "entity" {
-  name     = "terraform-${local.name_suffix}"
-  labels = {
-    foo = "bar"
-  }
-  featurestore = google_vertex_ai_featurestore.featurestore.id
+resource "google_service_directory_service" "example" {
+  provider   = google-beta
+  service_id = "example-service-${local.name_suffix}"
+  namespace  = google_service_directory_namespace.example.id
 }
 
-resource "google_vertex_ai_featurestore_entitytype_feature" "feature" {
-  name     = "terraform-${local.name_suffix}"
-  labels = {
-    foo = "bar"
-  }
-  entitytype = google_vertex_ai_featurestore_entitytype.entity.id
-
-  value_type = "INT64_ARRAY"
-}
+resource "google_service_directory_endpoint" "example" {
+  provider    = google-beta
+  endpoint_id = "example-endpoint-${local.name_suffix}"
+  service     = google_service_directory_service.example.id
 
-resource "google_vertex_ai_tensorboard" "tensorboard" {
-  display_name = "terraform-${local.name_suffix}"
-  description  = "sample description"
-  labels       = {
-    "key1" : "value1",
-    "key2" : "value2"
+  metadata = {
+    stage  = "prod"
+    region = "us-central1"
   }
-  region = "us-central1"
+
+  address = "1.2.3.4"
+  port    = 5353
 }
 
 
-resource "google_vertex_ai_featurestore" "featurestore" {
-  name     = "terraform-${local.name_suffix}"
-  labels = {
-    foo = "bar"
-  }
-  region   = "us-central1"
-  online_serving_config {
-    fixed_node_count = 2
-  }
+resource "google_service_directory_namespace" "example" {
+  provider     = google-beta
+  namespace_id = "example-namespace-${local.name_suffix}"
+  location     = "us-central1"
 }
 
-resource "google_vertex_ai_featurestore_entitytype" "entity" {
-  name     = "terraform-${local.name_suffix}"
-  labels = {
-    foo = "bar"
-  }
-  featurestore = google_vertex_ai_featurestore.featurestore.id
+resource "google_service_directory_service" "example" {
+  provider   = google-beta
+  service_id = "example-service-${local.name_suffix}"
+  namespace  = google_service_directory_namespace.example.id
 }
 
-resource "google_vertex_ai_featurestore_entitytype_feature" "feature" {
-  name     = "terraform-${local.name_suffix}"
-  labels = {
-    foo = "bar"
+resource "google_service_directory_endpoint" "example" {
+  provider    = google-beta
+  endpoint_id = "example-endpoint-${local.name_suffix}"
+  service     = google_service_directory_service.example.id
+
+  metadata = {
+    stage  = "prod"
+    region = "us-central1"
   }
-  entitytype = google_vertex_ai_featurestore_entitytype.entity.id
 
-  value_type = "INT64_ARRAY"
+  address = "1.2.3.4"
+  port    = 5353
 }
 

build/inspec/test/integration/configuration/mm-attributes.yml

@@ -546,104 +546,66 @@ dlp:
     location: "europe-west2"
     type: "Infotype"
 
-pipeline_job:
+training_pipeline:
   name : "value_name"
+  job_id: "job_id"
   region : "value_region"
   parent : "value_parent"
-  end_time : "value_endtime"
-  update_time : "value_updatetime"
-  state : "value_state"
-  create_time : "value_createtime"
-  schedule_name : "value_schedulename"
-  start_time : "value_starttime"
-  service_account : "value_serviceaccount"
-  display_name : "value_displayname"
-  template_uri : "value_templateuri"
-  network : "value_network"
 
-endpoint:
+
+nas_job:
   name : "value_name"
   region : "value_region"
   parent : "value_parent"
-  update_time : "value_updatetime"
-  model_deployment_monitoring_job : "value_modeldeploymentmonitoringjob"
-  description : "value_description"
-  network : "value_network"
-  display_name : "value_displayname"
-  etag : "value_etag"
+  end_time : "value_endtime"
+  state : "value_state"
   create_time : "value_createtime"
+  display_name : "value_displayname"
+  start_time : "value_starttime"
+  update_time : "value_updatetime"
 
 batch_prediction_job:
   name : "value_name"
   region : "value_region"
+  parent : "value_parent"
   create_time : "value_createtime"
-  model_version_id : "1"
+  model_version_id : "value_modelversionid"
   end_time : "value_endtime"
   start_time : "value_starttime"
   update_time : "value_updatetime"
   state : "value_state"
   model : "value_model"
   display_name : "value_displayname"
+  service_account : "value_serviceaccount"
 
 custom_job:
-  name : "value_name"
-  region : "value_region"
-  parent : "value_parent"
-  job_id: "job_id"
-  
-training_pipeline:
   name : "value_name"
   job_id: "job_id"
   region : "value_region"
   parent : "value_parent"
 
+region_security_policy:
+  securitypolicy : "value_securitypolicy"
 
-schedule:
+endpoint:
   name : "value_name"
   region : "value_region"
   parent : "value_parent"
-  started_run_count : "value_startedruncount"
-  cron : "value_cron"
-  last_pause_time : "value_lastpausetime"
-  create_time : "value_createtime"
-  start_time : "value_starttime"
-  max_run_count : "value_maxruncount"
-  next_run_time : "value_nextruntime"
   update_time : "value_updatetime"
-  last_resume_time : "value_lastresumetime"
-  max_concurrent_run_count : "value_maxconcurrentruncount"
-  state : "value_state"
+  model_deployment_monitoring_job : "value_modeldeploymentmonitoringjob"
+  description : "value_description"
+  network : "value_network"
   display_name : "value_displayname"
-  end_time : "value_endtime"
-
-tensorboard:
-  name : "value_name"
-  region : "value_region"
-  parent : "value_parent"
-  update_time : "value_updatetime"
-  blob_storage_path_prefix : "value_blobstoragepathprefix"
   etag : "value_etag"
   create_time : "value_createtime"
-  display_name : "value_displayname"
-  description : "value_description"
 
-
-nas_job:
+hyperparameter_tuning_job:
   name : "value_name"
   region : "value_region"
   parent : "value_parent"
-  end_time : "value_endtime"
   state : "value_state"
-  create_time : "value_createtime"
-  display_name : "value_displayname"
-  start_time : "value_starttime"
+  end_time : "value_endtime"
   update_time : "value_updatetime"
-
-featurestore:
-  name : "value_name"
-  region : "value_region"
-  parent : "value_parent"
-  state : "value_state"
+  start_time : "value_starttime"
   create_time : "value_createtime"
-  etag : "value_etag"
-  update_time : "value_updatetime"
+  display_name : "value_displayname"

docs/resources/google_vertex_ai_hyperparameter_tuning_job.md

@@ -0,0 +1,80 @@
+---
+title: About the google_vertex_ai_hyperparameter_tuning_job resource
+platform: gcp
+---
+
+## Syntax
+A `google_vertex_ai_hyperparameter_tuning_job` is used to test a Google HyperparameterTuningJob resource
+
+## Examples
+```
+describe google_vertex_ai_hyperparameter_tuning_job(name: "projects/#{gcp_project_id}/locations/#{hyperparameter_tuning_job['region']}/hyperparameterTuningJobs/#{hyperparameter_tuning_job['name']}", region: ' value_region') do
+	it { should exist }
+	its('state') { should cmp 'value_state' }
+	its('end_time') { should cmp 'value_endtime' }
+	its('update_time') { should cmp 'value_updatetime' }
+	its('start_time') { should cmp 'value_starttime' }
+	its('create_time') { should cmp 'value_createtime' }
+	its('display_name') { should cmp 'value_displayname' }
+	its('name') { should cmp 'value_name' }
+
+end
+
+describe google_vertex_ai_hyperparameter_tuning_job(name: "does_not_exit", region: ' value_region') do
+	it { should_not exist }
+end
+```
+
+## Properties
+Properties that can be accessed from the `google_vertex_ai_hyperparameter_tuning_job` resource:
+
+
+  * `study_spec`: Required. Study configuration of the HyperparameterTuningJob.
+
+  * `trials`: Output only. Trials of the HyperparameterTuningJob.
+
+  * `state`: Output only. The detailed state of the job.
+  Possible values:
+    * JOB_STATE_UNSPECIFIED
+    * JOB_STATE_QUEUED
+    * JOB_STATE_PENDING
+    * JOB_STATE_RUNNING
+    * JOB_STATE_SUCCEEDED
+    * JOB_STATE_FAILED
+    * JOB_STATE_CANCELLING
+    * JOB_STATE_CANCELLED
+    * JOB_STATE_PAUSED
+    * JOB_STATE_EXPIRED
+    * JOB_STATE_UPDATING
+    * JOB_STATE_PARTIALLY_SUCCEEDED
+
+  * `max_failed_trial_count`: The number of failed Trials that need to be seen before failing the HyperparameterTuningJob. If set to 0, Vertex AI decides how many Trials must fail before the whole job fails.
+
+  * `encryption_spec`: Customer-managed encryption key options for a HyperparameterTuningJob. If this is set, then all resources created by the HyperparameterTuningJob will be encrypted with the provided encryption key.
+
+  * `error`: Output only. Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
+
+  * `end_time`: Output only. Time when the HyperparameterTuningJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+
+  * `update_time`: Output only. Time when the HyperparameterTuningJob was most recently updated.
+
+  * `start_time`: Output only. Time when the HyperparameterTuningJob for the first time entered the `JOB_STATE_RUNNING` state.
+
+  * `labels`: The labels with user-defined metadata to organize HyperparameterTuningJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
+
+    * `additional_properties`: 
+
+  * `create_time`: Output only. Time when the HyperparameterTuningJob was created.
+
+  * `parallel_trial_count`: Required. The desired number of Trials to run in parallel.
+
+  * `trial_job_spec`: Required. The spec of a trial job. The same spec applies to the CustomJobs created in all the trials.
+
+  * `max_trial_count`: Required. The desired total number of Trials.
+
+  * `display_name`: Required. The display name of the HyperparameterTuningJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
+
+  * `name`: Output only. Resource name of the HyperparameterTuningJob.
+
+
+## GCP Permissions

docs/resources/google_vertex_ai_hyperparameter_tuning_jobs.md

@@ -0,0 +1,41 @@
+---
+title: About the google_vertex_ai_hyperparameter_tuning_jobs resource
+platform: gcp
+---
+
+## Syntax
+A `google_vertex_ai_hyperparameter_tuning_jobs` is used to test a Google HyperparameterTuningJob resource
+
+## Examples
+```
+    describe google_vertex_ai_hyperparameter_tuning_jobs(parent: "projects/#{gcp_project_id}/locations/#{hyperparameter_tuning_job['region']}", region: ' value_region') do
+    it { should exist }
+  end
+```
+
+## Properties
+Properties that can be accessed from the `google_vertex_ai_hyperparameter_tuning_jobs` resource:
+
+See [google_vertex_ai_hyperparameter_tuning_job.md](google_vertex_ai_hyperparameter_tuning_job.md) for more detailed information
+  * `study_specs`: an array of `google_vertex_ai_hyperparameter_tuning_job` study_spec
+  * `trials`: an array of `google_vertex_ai_hyperparameter_tuning_job` trials
+  * `states`: an array of `google_vertex_ai_hyperparameter_tuning_job` state
+  * `max_failed_trial_counts`: an array of `google_vertex_ai_hyperparameter_tuning_job` max_failed_trial_count
+  * `encryption_specs`: an array of `google_vertex_ai_hyperparameter_tuning_job` encryption_spec
+  * `errors`: an array of `google_vertex_ai_hyperparameter_tuning_job` error
+  * `end_times`: an array of `google_vertex_ai_hyperparameter_tuning_job` end_time
+  * `update_times`: an array of `google_vertex_ai_hyperparameter_tuning_job` update_time
+  * `start_times`: an array of `google_vertex_ai_hyperparameter_tuning_job` start_time
+  * `labels`: an array of `google_vertex_ai_hyperparameter_tuning_job` labels
+  * `create_times`: an array of `google_vertex_ai_hyperparameter_tuning_job` create_time
+  * `parallel_trial_counts`: an array of `google_vertex_ai_hyperparameter_tuning_job` parallel_trial_count
+  * `trial_job_specs`: an array of `google_vertex_ai_hyperparameter_tuning_job` trial_job_spec
+  * `max_trial_counts`: an array of `google_vertex_ai_hyperparameter_tuning_job` max_trial_count
+  * `display_names`: an array of `google_vertex_ai_hyperparameter_tuning_job` display_name
+  * `names`: an array of `google_vertex_ai_hyperparameter_tuning_job` name
+
+## Filter Criteria
+This resource supports all of the above properties as filter criteria, which can be used
+with `where` as a block or a method.
+
+## GCP Permissions

libraries/google/vertexai/property/hyperparametertuningjob_labels.rb

@@ -0,0 +1,34 @@
+# frozen_string_literal: false
+
+# ----------------------------------------------------------------------------
+#
+#     ***     AUTO GENERATED CODE    ***    Type: MMv1     ***
+#
+# ----------------------------------------------------------------------------
+#
+#     This file is automatically generated by Magic Modules and manual
+#     changes will be clobbered when the file is regenerated.
+#
+#     Please read more about how to change this file in README.md and
+#     CONTRIBUTING.md located at the root of this package.
+#
+# ----------------------------------------------------------------------------
+module GoogleInSpec
+  module VertexAI
+    module Property
+      class HyperparameterTuningJobLabels
+        attr_reader :additional_properties
+
+        def initialize(args = nil, parent_identifier = nil)
+          return if args.nil?
+          @parent_identifier = parent_identifier
+          @additional_properties = args['additionalProperties']
+        end
+
+        def to_s
+          "#{@parent_identifier} HyperparameterTuningJobLabels"
+        end
+      end
+    end
+  end
+end