Source code for tests.system.google.cloud.gcs.example_gcs_transform

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"""
Example Airflow DAG for Google Cloud Storage GCSFileTransformOperator operator.
"""

from __future__ import annotations

import os
from datetime import datetime
from pathlib import Path

from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.gcs import (
    GCSCreateBucketOperator,
    GCSDeleteBucketOperator,
    GCSFileTransformOperator,
)
from airflow.providers.google.cloud.transfers.gcs_to_gcs import GCSToGCSOperator
from airflow.utils.trigger_rule import TriggerRule

from providers.tests.system.google import DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT") or DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
[docs]DAG_ID = "gcs_transform"
[docs]RESOURCES_BUCKET_NAME = "airflow-system-tests-resources"
[docs]BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
[docs]FILE_NAME = "example_upload.txt"
[docs]UPLOAD_FILE_PATH = f"gcs/{FILE_NAME}"
[docs]TRANSFORM_SCRIPT_PATH = str(Path(__file__).parent / "resources" / "transform_script.py")
with DAG( DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["gcs", "example"], ) as dag:
[docs] create_bucket = GCSCreateBucketOperator( task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID, )
upload_file = GCSToGCSOperator( task_id="upload_file", source_bucket=RESOURCES_BUCKET_NAME, source_object=UPLOAD_FILE_PATH, destination_bucket=BUCKET_NAME, destination_object=FILE_NAME, exact_match=True, ) # [START howto_operator_gcs_transform] transform_file = GCSFileTransformOperator( task_id="transform_file", source_bucket=BUCKET_NAME, source_object=FILE_NAME, transform_script=["python", TRANSFORM_SCRIPT_PATH], ) # [END howto_operator_gcs_transform] delete_bucket = GCSDeleteBucketOperator( task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE ) ( # TEST SETUP create_bucket >> upload_file # TEST BODY >> transform_file # TEST TEARDOWN >> delete_bucket ) from tests_common.test_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_common.test_utils.system_tests 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)

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