jx2lee commented on code in PR #40008: URL: https://github.com/apache/airflow/pull/40008#discussion_r1632156545
########## tests/system/providers/google/cloud/cloud_run/example_cloud_run_service.py: ########## @@ -0,0 +1,93 @@ +# +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you 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. +""" +Example Airflow DAG that uses Google Cloud Run Service Operators. +""" + +from __future__ import annotations + +import os +from datetime import datetime + +from google.cloud.run_v2 import Service +from google.cloud.run_v2.types import k8s_min + +from airflow.models.dag import DAG +from airflow.providers.google.cloud.operators.cloud_run import ( + CloudRunCreateServiceOperator, +) + +PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default") +DAG_ID = "example_cloud_run_serivce" + +region = "us-central1" +service_name_prefix = "cloudrun-system-test-service" +service1_name = f"{service_name_prefix}1" +service2_name = f"{service_name_prefix}2" +service3_name = f"{service_name_prefix}3" + +create1_task_name = "create-service1" + + +def _assert_created_services_xcom(ti): + service1_dicts = ti.xcom_pull(task_ids=[create1_task_name], key="return_value") + assert service1_name in service1_dicts[0]["name"] + + +# [START howto_operator_cloud_run_service_creation] +def _create_service(): + service = Service() + container = k8s_min.Container() + container.image = "us-docker.pkg.dev/cloudrun/container/service:latest" + service.template.containers.append(container) + return service + + +# [END howto_operator_cloud_run_job_creation] + + +with DAG( + DAG_ID, + schedule="@once", + start_date=datetime(2021, 1, 1), + catchup=False, + tags=["example"], +) as dag: + # [START howto_operator_cloud_run_create_service] Review Comment: Thanks! [related comment](https://github.com/apache/airflow/pull/40008#discussion_r1632147358) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@airflow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
