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"
}