Source code for tests.system.providers.google.cloud.tasks.example_tasks
## 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 creates and deletes Queues and creates, gets, lists,runs and deletes Tasks in the Google Cloud Tasks service in the Google Cloud."""from__future__importannotationsimportosfromdatetimeimportdatetime,timedeltafromgoogle.api_core.retryimportRetryfromgoogle.cloud.tasks_v2.typesimportQueuefromgoogle.protobufimporttimestamp_pb2fromairflowimportmodelsfromairflow.decoratorsimporttaskfromairflow.models.baseoperatorimportchainfromairflow.providers.google.cloud.operators.tasksimport(CloudTasksQueueCreateOperator,CloudTasksQueueDeleteOperator,CloudTasksTaskCreateOperator,CloudTasksTaskDeleteOperator,CloudTasksTaskGetOperator,CloudTasksTaskRunOperator,CloudTasksTasksListOperator,)fromairflow.utils.trigger_ruleimportTriggerRule
[docs]defgenerate_random_string():""" Generate random string for queue and task names. Queue name cannot be repeated in preceding 7 days and task name in the last 1 hour. """importrandomimportstringreturn"".join(random.choices(string.ascii_uppercase+string.digits,k=8))
random_string=generate_random_string()create_queue=CloudTasksQueueCreateOperator(location=LOCATION,task_queue=Queue(stackdriver_logging_config=dict(sampling_ratio=0.5)),queue_name=QUEUE_ID+"{{ task_instance.xcom_pull(task_ids='random_string') }}",retry=Retry(maximum=10.0),timeout=5,task_id="create_queue",)delete_queue=CloudTasksQueueDeleteOperator(location=LOCATION,queue_name=QUEUE_ID+"{{ task_instance.xcom_pull(task_ids='random_string') }}",task_id="delete_queue",)delete_queue.trigger_rule=TriggerRule.ALL_DONE# [START create_task]create_task=CloudTasksTaskCreateOperator(location=LOCATION,queue_name=QUEUE_ID+"{{ task_instance.xcom_pull(task_ids='random_string') }}",task=TASK,task_name=TASK_NAME+"{{ task_instance.xcom_pull(task_ids='random_string') }}",retry=Retry(maximum=10.0),timeout=5,task_id="create_task_to_run",)# [END create_task]# [START tasks_get]tasks_get=CloudTasksTaskGetOperator(location=LOCATION,queue_name=QUEUE_ID+"{{ task_instance.xcom_pull(task_ids='random_string') }}",task_name=TASK_NAME+"{{ task_instance.xcom_pull(task_ids='random_string') }}",task_id="tasks_get",)# [END tasks_get]# [START run_task]run_task=CloudTasksTaskRunOperator(location=LOCATION,queue_name=QUEUE_ID+"{{ task_instance.xcom_pull(task_ids='random_string') }}",task_name=TASK_NAME+"{{ task_instance.xcom_pull(task_ids='random_string') }}",retry=Retry(maximum=10.0),task_id="run_task",)# [END run_task]# [START list_tasks]list_tasks=CloudTasksTasksListOperator(location=LOCATION,queue_name=QUEUE_ID+"{{ task_instance.xcom_pull(task_ids='random_string') }}",task_id="list_tasks",)# [END list_tasks]# [START delete_task]delete_task=CloudTasksTaskDeleteOperator(location=LOCATION,queue_name=QUEUE_ID+"{{ task_instance.xcom_pull(task_ids='random_string') }}",task_name=TASK_NAME+"{{ task_instance.xcom_pull(task_ids='random_string') }}",task_id="delete_task",)# [END delete_task]chain(random_string,create_queue,create_task,tasks_get,list_tasks,run_task,delete_task,delete_queue)fromtests.system.utils.watcherimportwatcher# This test needs watcher in order to properly mark success/failure# when "tearDown" task with trigger rule is part of the DAGlist(dag.tasks)>>watcher()fromtests.system.utilsimportget_test_run# noqa: E402# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)