112 lines
3.2 KiB
HCL
112 lines
3.2 KiB
HCL
# Copyright 2023 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# tfdoc:file:description Vertex resources.
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resource "google_vertex_ai_metadata_store" "store" {
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provider = google-beta
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project = module.project.project_id
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name = "default"
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description = "Vertex Ai Metadata Store"
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region = var.region
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dynamic "encryption_spec" {
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for_each = try(var.service_encryption_keys.aiplatform, null) == null ? [] : [""]
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content {
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kms_key_name = try(var.service_encryption_keys.aiplatform, null)
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}
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}
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# `state` value will be decided automatically based on the result of the configuration
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lifecycle {
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ignore_changes = [state]
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}
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}
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module "service-account-notebook" {
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source = "../../../modules/iam-service-account"
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project_id = module.project.project_id
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name = "notebook-sa"
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iam_project_roles = {
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(module.project.project_id) = [
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"roles/bigquery.admin",
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"roles/bigquery.jobUser",
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"roles/bigquery.dataEditor",
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"roles/bigquery.user",
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"roles/dialogflow.client",
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"roles/storage.admin",
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"roles/aiplatform.user",
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"roles/iam.serviceAccountUser"
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]
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}
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}
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module "service-account-vertex" {
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source = "../../../modules/iam-service-account"
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project_id = module.project.project_id
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name = "vertex-sa"
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iam_project_roles = {
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(module.project.project_id) = [
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"roles/bigquery.admin",
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"roles/bigquery.jobUser",
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"roles/bigquery.dataEditor",
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"roles/bigquery.user",
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"roles/dialogflow.client",
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"roles/storage.admin",
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"roles/aiplatform.user"
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]
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}
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}
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resource "google_notebooks_instance" "playground" {
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name = "${var.prefix}-notebook"
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location = format("%s-%s", var.region, "b")
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machine_type = "e2-medium"
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project = module.project.project_id
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container_image {
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repository = "gcr.io/deeplearning-platform-release/base-cpu"
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tag = "latest"
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}
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install_gpu_driver = true
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boot_disk_type = "PD_SSD"
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boot_disk_size_gb = 110
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disk_encryption = try(local.service_encryption_keys.compute != null, false) ? "CMEK" : null
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kms_key = try(local.service_encryption_keys.compute, null)
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no_public_ip = true
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no_proxy_access = false
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network = local.vpc
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subnet = local.subnet
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service_account = module.service-account-notebook.email
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# Enable Secure Boot
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shielded_instance_config {
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enable_secure_boot = true
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}
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# Remove once terraform-provider-google/issues/9164 is fixed
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lifecycle {
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ignore_changes = [disk_encryption, kms_key]
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}
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#TODO Uncomment once terraform-provider-google/issues/9273 is fixed
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# tags = ["ssh"]
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depends_on = [
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google_project_iam_member.shared_vpc,
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]
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}
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