gemini/use-cases/applying-llms-to-data/using-gemini-with-bigquery-remote-functions/outputs.tf (27 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. */ output "image_bucket" { value = google_storage_bucket.demo_images.name description = "Raw bucket name" } output "bigquery_editor_image_sp" { value = "https://console.cloud.google.com/bigquery?project=${module.project-services.project_id}&ws=!1m5!1m4!6m3!1s${module.project-services.project_id}!2s${google_bigquery_dataset.demo_dataset.dataset_id}!3simage_query_remote_function_sp" description = "The URL to launch the BigQuery editor to invoke the image analysis procedure opened" } output "bigquery_editor_text_sp" { value = "https://console.cloud.google.com/bigquery?project=${module.project-services.project_id}&ws=!1m5!1m4!6m3!1s${module.project-services.project_id}!2s${google_bigquery_dataset.demo_dataset.dataset_id}!3stext_query_remote_function_sp" description = "The URL to launch the BigQuery editor to invoke the image analysis procedure opened" }