Source code for tests.system.providers.google.cloud.dataflow.example_dataflow_template

#
# 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 Dataflow
:class:`~airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator` operator.
"""
from __future__ import annotations

import os
from datetime import datetime
from pathlib import Path

from airflow import models
from airflow.providers.google.cloud.operators.dataflow import (
    DataflowStartFlexTemplateOperator,
    DataflowTemplatedJobStartOperator,
)
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.providers.google.cloud.transfers.local_to_gcs import LocalFilesystemToGCSOperator
from airflow.utils.trigger_rule import TriggerRule

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]DAG_ID = "dataflow_template"
[docs]BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}".replace("_", "-")
[docs]CSV_FILE_NAME = "input.csv"
[docs]AVRO_FILE_NAME = "output.avro"
[docs]AVRO_SCHEMA = "schema.json"
[docs]GCS_TMP = f"gs://{BUCKET_NAME}/temp/"
[docs]GCS_STAGING = f"gs://{BUCKET_NAME}/staging/"
[docs]GCS_OUTPUT = f"gs://{BUCKET_NAME}/output"
[docs]PYTHON_FILE_LOCAL_PATH = str(Path(__file__).parent / "resources" / CSV_FILE_NAME)
[docs]SCHEMA_LOCAL_PATH = str(Path(__file__).parent / "resources" / AVRO_SCHEMA)
[docs]LOCATION = "europe-west3"
[docs]default_args = { "dataflow_default_options": { "tempLocation": GCS_TMP, "stagingLocation": GCS_STAGING, } }
[docs]BODY = { "launchParameter": { "jobName": "test-flex-template", "parameters": { "inputFileSpec": f"gs://{BUCKET_NAME}/{CSV_FILE_NAME}", "outputBucket": f"gs://{BUCKET_NAME}/output/{AVRO_FILE_NAME}", "outputFileFormat": "avro", "inputFileFormat": "csv", "schema": f"gs://{BUCKET_NAME}/{AVRO_SCHEMA}", }, "environment": {}, "containerSpecGcsPath": "gs://dataflow-templates/latest/flex/File_Format_Conversion", }, }
with models.DAG( DAG_ID, default_args=default_args, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "dataflow"], ) as dag:
[docs] create_bucket = GCSCreateBucketOperator(task_id="create_bucket", bucket_name=BUCKET_NAME)
upload_file = LocalFilesystemToGCSOperator( task_id="upload_file_to_bucket", src=PYTHON_FILE_LOCAL_PATH, dst=CSV_FILE_NAME, bucket=BUCKET_NAME, ) upload_schema = LocalFilesystemToGCSOperator( task_id="upload_schema_to_bucket", src=SCHEMA_LOCAL_PATH, dst=AVRO_SCHEMA, bucket=BUCKET_NAME, ) # [START howto_operator_start_template_job] start_template_job = DataflowTemplatedJobStartOperator( task_id="start_template_job", project_id=PROJECT_ID, template="gs://dataflow-templates/latest/Word_Count", parameters={"inputFile": f"gs://{BUCKET_NAME}/{CSV_FILE_NAME}", "output": GCS_OUTPUT}, location=LOCATION, ) # [END howto_operator_start_template_job] # [START howto_operator_start_flex_template_job] start_flex_template_job = DataflowStartFlexTemplateOperator( task_id="start_flex_template_job", project_id=PROJECT_ID, body=BODY, location=LOCATION, append_job_name=False, ) # [END howto_operator_start_flex_template_job] delete_bucket = GCSDeleteBucketOperator( task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE ) ( create_bucket >> upload_file >> upload_schema >> start_template_job >> start_flex_template_job >> delete_bucket ) from tests.system.utils.watcher import watcher # This test needs watcher in order to properly mark success/failure # when "teardown" task with trigger rule is part of the DAG list(dag.tasks) >> watcher() from tests.system.utils import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)

Was this entry helpful?