gemini/use-cases/applying-llms-to-data/using-gemini-with-bigquery-remote-functions/workflows.tf (88 lines of code) (raw):

/** * Copyright 2023 Google LLC * * 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. */ # Set up the Workflow ## Create the Workflows service account to manage permissions resource "google_service_account" "workflow_service_account" { project = module.project-services.project_id account_id = "cloud-workflow-sa-${random_id.id.hex}" display_name = "Service Account for Cloud Workflows" depends_on = [time_sleep.wait_after_apis] } locals { workflow_roles = [ "roles/workflows.admin", "roles/run.invoker", "roles/cloudfunctions.invoker", "roles/iam.serviceAccountTokenCreator", "roles/storage.objectAdmin", "roles/bigquery.connectionAdmin", "roles/bigquery.jobUser", "roles/bigquery.dataEditor", ] } ## Grant the Workflow service account access needed to execute its tasks resource "google_project_iam_member" "workflow_service_account_roles" { count = length(local.workflow_roles) project = module.project-services.project_id role = local.workflow_roles[count.index] member = "serviceAccount:${google_service_account.workflow_service_account.email}" depends_on = [google_project_iam_member.functions_invoke_roles] } ## Create the workflow resource "google_workflows_workflow" "workflow" { name = "setup-workflow" project = module.project-services.project_id region = var.region description = "Runs post Terraform setup steps for Solution in Console" service_account = google_service_account.workflow_service_account.id source_contents = templatefile("${path.module}/templates/workflow.tftpl", { sample_bucket = google_storage_bucket.demo_images.name, dataset_id = google_bigquery_dataset.demo_dataset.dataset_id }) depends_on = [ google_service_account.workflow_service_account, google_bigquery_connection.function_connection, google_bigquery_routine.image_create_remote_function_sp, google_bigquery_routine.image_query_remote_function_sp, google_bigquery_routine.provision_text_sample_table_sp, google_bigquery_routine.text_create_remote_function_sp, google_bigquery_routine.text_query_remote_function_sp, google_bigquery_table.object_table, google_cloudfunctions2_function.image_remote_function, google_cloudfunctions2_function.text_remote_function, google_storage_bucket.demo_images, google_project_iam_member.functions_invoke_roles, time_sleep.wait_after_functions, ] } ## Trigger the execution of the setup workflow data "http" "call_workflows_setup" { url = "https://workflowexecutions.googleapis.com/v1/projects/${module.project-services.project_id}/locations/${var.region}/workflows/${google_workflows_workflow.workflow.name}/executions" method = "POST" request_headers = { Accept = "application/json" Authorization = "Bearer ${data.google_client_config.current.access_token}" } depends_on = [ google_workflows_workflow.workflow, google_bigquery_connection.function_connection, google_bigquery_routine.image_create_remote_function_sp, google_bigquery_routine.image_query_remote_function_sp, google_bigquery_routine.provision_text_sample_table_sp, google_bigquery_routine.text_create_remote_function_sp, google_bigquery_routine.text_query_remote_function_sp, google_bigquery_table.object_table, google_cloudfunctions2_function.image_remote_function, google_cloudfunctions2_function.text_remote_function, google_storage_bucket.demo_images, google_project_iam_member.functions_invoke_roles, time_sleep.wait_after_functions, ] }