Added support for google_vertex_ai_tensorboard resource

mmv1/products/vertexai/api.yaml

@@ -24,6 +24,90 @@ versions:
 scopes:
   - https://www.googleapis.com/auth/cloud-platform
 objects:
+# Vertex AI Tensorboards
+  - !ruby/object:Api::Resource
+    name: Tensorboard
+    base_url: projects/{{project}}/locations/{{region}}/tensorboards
+    self_link: '{{name}}'
+    update_verb: :PATCH
+    update_mask: true
+    references: !ruby/object:Api::Resource::ReferenceLinks
+      guides:
+        'Official Documentation':
+          'https://cloud.google.com/vertex-ai/docs'
+      api: 'https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.tensorboards'
+    async: !ruby/object:Api::OpAsync
+      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: |-
+      Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a GCP project. If needed users can also create extra Tensorboards in their projects.
+    parameters:
+      - !ruby/object:Api::Type::String
+        name: region
+        description: The region of the tensorboard. eg us-central1
+        url_param_only: true
+        input: true
+    properties:
+      - !ruby/object:Api::Type::String
+        name: 'name'
+        description: Name of the Tensorboard.
+        output: true
+      - !ruby/object:Api::Type::String
+        name: 'displayName'
+        required: true
+        description: User provided name of this Tensorboard.
+      - !ruby/object:Api::Type::String
+        name: 'description'
+        description: Description of this Tensorboard.
+      - !ruby/object:Api::Type::NestedObject
+        name: 'encryptionSpec'
+        input: true
+        description: |
+          Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.
+        properties:
+          - !ruby/object:Api::Type::String
+            name: 'kmsKeyName'
+            required: true
+            description: |
+              The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource.
+              Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.
+            input: true
+      - !ruby/object:Api::Type::String
+        name: 'blobStoragePathPrefix'
+        description: Consumer project Cloud Storage path prefix used to store blob data, which can either be a bucket or directory. Does not end with a '/'.
+        output: true
+      - !ruby/object:Api::Type::String
+        name: 'runCount'
+        description: The number of Runs stored in this Tensorboard.
+        output: true
+      - !ruby/object:Api::Type::String
+        name: 'createTime'
+        output: true
+        description: |
+          The timestamp of when the Tensorboard 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 Tensorboard was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
+      - !ruby/object:Api::Type::KeyValuePairs
+        name: 'labels'
+        description: |
+          The labels with user-defined metadata to organize your Tensorboards.
 # Vertex AI Datasets
   - !ruby/object:Api::Resource
     name: Dataset

mmv1/products/vertexai/terraform.yaml

@@ -13,6 +13,20 @@
 
 --- !ruby/object:Provider::Terraform::Config
 overrides: !ruby/object:Overrides::ResourceOverrides
+  Tensorboard: !ruby/object:Overrides::Terraform::ResourceOverride
+    skip_sweeper: true
+    examples:
+      - !ruby/object:Provider::Terraform::Examples
+        name: "vertex_ai_tensorboard"
+        skip_import_test: true
+        primary_resource_id: "tensorboard"
+        vars:
+          display_name: "terraform"
+    properties:
+      region: !ruby/object:Overrides::Terraform::PropertyOverride
+        default_from_api: true
+    custom_code: !ruby/object:Provider::Terraform::CustomCode
+      custom_import: templates/terraform/custom_import/vertex_ai_tensorboard_import.go.erb
   Dataset: !ruby/object:Overrides::Terraform::ResourceOverride
     autogen_async: false
     id_format: '{{name}}'

mmv1/templates/terraform/custom_import/vertex_ai_tensorboard_import.go.erb

@@ -0,0 +1,22 @@
+    config := meta.(*Config)
+	if err := parseImportId([]string{
+		"projects/(?P<project>[^/]+)/locations/(?P<region>[^/]+)/tensorboards/(?P<name>[^/]+)",
+		"(?P<project>[^/]+)/(?P<region>[^/]+)/(?P<name>[^/]+)",
+		"(?P<region>[^/]+)/(?P<name>[^/]+)",
+		"(?P<name>[^/]+)",
+	}, d, config); err != nil {
+		return nil, err
+	}
+
+	// Replace import id for the resource id
+	id, err := replaceVars(d, config, "projects/{{project}}/locations/{{region}}/tensorboards/{{name}}")
+	if err != nil {
+		return nil, fmt.Errorf("Error constructing id: %s", err)
+	}
+	d.SetId(id)
+
+	if err := d.Set("name", id); err != nil {
+		return nil, fmt.Errorf("Error setting name for import: %s", err)
+	}
+
+	return []*schema.ResourceData{d}, nil

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

@@ -0,0 +1,9 @@
+resource "google_vertex_ai_tensorboard" "<%= ctx[:primary_resource_id] %>" {
+  display_name = "<%= ctx[:vars]['display_name'] %>"
+  description  = "sample description"
+  labels       = {
+    "key1" : "value1",
+    "key2" : "value2"
+  }
+  region       = "us-central1"
+}

mmv1/third_party/terraform/tests/resource_vertex_ai_tensorboard_test.go

@@ -0,0 +1,152 @@
+package google
+
+import (
+	"fmt"
+	"testing"
+
+	"github.com/hashicorp/terraform-plugin-sdk/v2/helper/resource"
+)
+
+func TestAccVertexAITensorboard_Full(t *testing.T) {
+	t.Parallel()
+
+	random_suffix := "tf-test-" + randString(t, 10)
+
+	vcrTest(t, resource.TestCase{
+		PreCheck:     func() { testAccPreCheck(t) },
+		Providers:    testAccProviders,
+		CheckDestroy: testAccCheckVertexAITensorboardDestroyProducer(t),
+		Steps: []resource.TestStep{
+			{
+				Config: testAccVertexAITensorboard_Full(random_suffix),
+			},
+		},
+	})
+}
+
+func testAccVertexAITensorboard_Full(random_suffix string) string {
+	return fmt.Sprintf(`
+data "google_project" "project" {
+}
+resource "google_kms_key_ring" "keyring" {
+  name     = "keyring-%s"
+  location = "us-central1"
+}
+resource "google_kms_crypto_key" "example-key" {
+  name            = "crypto-key-%s"
+  key_ring        = google_kms_key_ring.keyring.id
+  rotation_period = "100000s"  
+  lifecycle {
+    prevent_destroy = false
+  }
+}
+resource "google_kms_crypto_key_iam_binding" "crypto_key_encrypt" {
+  crypto_key_id = google_kms_crypto_key.example-key.id
+  role          = "roles/cloudkms.cryptoKeyEncrypter"  
+  members = [
+    "serviceAccount:service-${data.google_project.project.number}@gcp-sa-aiplatform.iam.gserviceaccount.com",
+  ]
+}
+resource "google_kms_crypto_key_iam_binding" "crypto_key_decrypt" {
+  crypto_key_id = google_kms_crypto_key.example-key.id
+  role          = "roles/cloudkms.cryptoKeyDecrypter"
+  members = [
+    "serviceAccount:service-${data.google_project.project.number}@gcp-sa-aiplatform.iam.gserviceaccount.com",
+  ]
+}
+resource "google_vertex_ai_tensorboard" "tensorboard" {
+  depends_on = [google_kms_crypto_key_iam_binding.crypto_key_encrypt, google_kms_crypto_key_iam_binding.crypto_key_decrypt]
+  display_name = "%s"
+  description  = "sample description"
+  labels       = {
+    "key1" : "value1",
+    "key2" : "value2"
+  }
+  region       = "us-central1"
+  encryption_spec {
+	kms_key_name = google_kms_crypto_key.example-key.id
+  }
+}
+`, random_suffix, random_suffix, random_suffix)
+}
+
+func TestAccVertexAITensorboard_Update(t *testing.T) {
+	t.Parallel()
+
+	random_suffix := "tf-test-" + randString(t, 10)
+
+	vcrTest(t, resource.TestCase{
+		PreCheck:     func() { testAccPreCheck(t) },
+		Providers:    testAccProviders,
+		CheckDestroy: testAccCheckVertexAITensorboardDestroyProducer(t),
+		Steps: []resource.TestStep{
+			{
+				Config: testAccVertexAITensorboard_Update(random_suffix, random_suffix, random_suffix, random_suffix),
+			},
+			{
+				ResourceName:            "google_vertex_ai_tensorboard.tensorboard",
+				ImportState:             true,
+				ImportStateVerify:       true,
+				ImportStateVerifyIgnore: []string{"region", "project"},
+			},
+			{
+				Config: testAccVertexAITensorboard_Update(random_suffix+"new", random_suffix, random_suffix, random_suffix),
+			},
+			{
+				ResourceName:            "google_vertex_ai_tensorboard.tensorboard",
+				ImportState:             true,
+				ImportStateVerify:       true,
+				ImportStateVerifyIgnore: []string{"region", "project"},
+			},
+			{
+				Config: testAccVertexAITensorboard_Update(random_suffix+"new", random_suffix+"new", random_suffix, random_suffix),
+			},
+			{
+				ResourceName:            "google_vertex_ai_tensorboard.tensorboard",
+				ImportState:             true,
+				ImportStateVerify:       true,
+				ImportStateVerifyIgnore: []string{"region", "project"},
+			},
+			{
+				Config: testAccVertexAITensorboard_Update(random_suffix+"new", random_suffix+"new", random_suffix+"new", random_suffix),
+			},
+			{
+				ResourceName:            "google_vertex_ai_tensorboard.tensorboard",
+				ImportState:             true,
+				ImportStateVerify:       true,
+				ImportStateVerifyIgnore: []string{"region", "project"},
+			},
+			{
+				Config: testAccVertexAITensorboard_Update(random_suffix+"new", random_suffix+"new", random_suffix+"new", random_suffix+"new"),
+			},
+			{
+				ResourceName:            "google_vertex_ai_tensorboard.tensorboard",
+				ImportState:             true,
+				ImportStateVerify:       true,
+				ImportStateVerifyIgnore: []string{"region", "project"},
+			},
+			{
+				Config: testAccVertexAITensorboard_Update(random_suffix, random_suffix, random_suffix, random_suffix),
+			},
+			{
+				ResourceName:            "google_vertex_ai_tensorboard.tensorboard",
+				ImportState:             true,
+				ImportStateVerify:       true,
+				ImportStateVerifyIgnore: []string{"region", "project"},
+			},
+		},
+	})
+}
+
+func testAccVertexAITensorboard_Update(displayName, description, labelKey, labelVal string) string {
+	return fmt.Sprintf(`
+resource "google_vertex_ai_tensorboard" "tensorboard" {
+  display_name = "%s"
+  description  = "%s"
+  labels       = {
+    "%s" : "%s",
+  }
+  region       = "us-central1"
+}
+`, displayName, description, labelKey, labelVal)
+}