Source code for tests.system.providers.google.cloud.datapipelines.example_datapipeline
## 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 for testing Google DataPipelines Create Data Pipeline Operator."""from__future__importannotationsimportosfromdatetimeimportdatetimefrompathlibimportPathfromairflow.models.dagimportDAGfromairflow.providers.google.cloud.operators.datapipelineimport(CreateDataPipelineOperator,RunDataPipelineOperator,)fromairflow.providers.google.cloud.operators.gcsimportGCSCreateBucketOperator,GCSDeleteBucketOperatorfromairflow.providers.google.cloud.transfers.local_to_gcsimportLocalFilesystemToGCSOperatorfromairflow.utils.trigger_ruleimportTriggerRule
upload_file=LocalFilesystemToGCSOperator(task_id="upload_file_to_bucket",src=FILE_LOCAL_PATH,dst=FILE_NAME,bucket=BUCKET_NAME,)upload_template=LocalFilesystemToGCSOperator(task_id="upload_template_to_bucket",src=TEMPLATE_LOCAL_PATH,dst=TEMPLATE_FILE,bucket=BUCKET_NAME,)# [START howto_operator_create_data_pipeline]create_data_pipeline=CreateDataPipelineOperator(task_id="create_data_pipeline",project_id=GCP_PROJECT_ID,location=GCP_LOCATION,body={"name":f"projects/{GCP_PROJECT_ID}/locations/{GCP_LOCATION}/pipelines/{PIPELINE_NAME}","type":PIPELINE_TYPE,"workload":{"dataflowFlexTemplateRequest":{"launchParameter":{"containerSpecGcsPath":GCS_PATH,"jobName":DATAPIPELINES_JOB_NAME,"environment":{"tempLocation":TEMP_LOCATION},"parameters":{"inputFile":INPUT_FILE,"output":OUTPUT,},},"projectId":GCP_PROJECT_ID,"location":GCP_LOCATION,}},},)# [END howto_operator_create_data_pipeline]delete_bucket=GCSDeleteBucketOperator(task_id="delete_bucket",bucket_name=BUCKET_NAME,trigger_rule=TriggerRule.ALL_DONE)(create_bucket>>upload_file>>upload_template>>create_data_pipeline>>delete_bucket)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()# [START howto_operator_run_data_pipeline]run_data_pipeline=RunDataPipelineOperator(task_id="run_data_pipeline",data_pipeline_name=PIPELINE_NAME,project_id=GCP_PROJECT_ID,)# [END howto_operator_run_data_pipeline]fromtests.system.utilsimportget_test_run# noqa: E402# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)