Source code for tests.system.providers.google.cloud.gcs.example_gcs_transform_timespan

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"""
Example Airflow DAG for Google Cloud Storage GCSTimeSpanFileTransformOperator operator.
"""
from __future__ import annotations

import os
from datetime import datetime
from pathlib import Path

from airflow import models
from airflow.models.baseoperator import chain
from airflow.providers.google.cloud.operators.gcs import (
    GCSCreateBucketOperator,
    GCSDeleteBucketOperator,
    GCSTimeSpanFileTransformOperator,
)
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 = "gcs_transform_timespan"
[docs]BUCKET_NAME_SRC = f"bucket_{DAG_ID}_{ENV_ID}"
[docs]BUCKET_NAME_DST = f"bucket_dst_{DAG_ID}_{ENV_ID}"
SOURCE_GCP_CONN_ID = DESTINATION_GCP_CONN_ID = "google_cloud_default"
[docs]FILE_NAME = "example_upload.txt"
[docs]SOURCE_PREFIX = "timespan_source"
[docs]DESTINATION_PREFIX = "timespan_destination"
[docs]UPLOAD_FILE_PATH = str(Path(__file__).parent / "resources" / FILE_NAME)
[docs]TRANSFORM_SCRIPT_PATH = str(Path(__file__).parent / "resources" / "transform_timespan.py")
with models.DAG( DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["gcs", "example"], ) as dag:
[docs] create_bucket_src = GCSCreateBucketOperator( task_id="create_bucket_src", bucket_name=BUCKET_NAME_SRC, project_id=PROJECT_ID,
) create_bucket_dst = GCSCreateBucketOperator( task_id="create_bucket_dst", bucket_name=BUCKET_NAME_DST, project_id=PROJECT_ID, ) upload_file = LocalFilesystemToGCSOperator( task_id="upload_file", src=UPLOAD_FILE_PATH, dst=f"{SOURCE_PREFIX}/{FILE_NAME}", bucket=BUCKET_NAME_SRC, ) # [START howto_operator_gcs_timespan_file_transform_operator_Task] gcs_timespan_transform_files_task = GCSTimeSpanFileTransformOperator( task_id="gcs_timespan_transform_files", source_bucket=BUCKET_NAME_SRC, source_prefix=SOURCE_PREFIX, source_gcp_conn_id=SOURCE_GCP_CONN_ID, destination_bucket=BUCKET_NAME_DST, destination_prefix=DESTINATION_PREFIX, destination_gcp_conn_id=DESTINATION_GCP_CONN_ID, transform_script=["python", TRANSFORM_SCRIPT_PATH], ) # [END howto_operator_gcs_timespan_file_transform_operator_Task] delete_bucket_src = GCSDeleteBucketOperator( task_id="delete_bucket_src", bucket_name=BUCKET_NAME_SRC, trigger_rule=TriggerRule.ALL_DONE ) delete_bucket_dst = GCSDeleteBucketOperator( task_id="delete_bucket_dst", bucket_name=BUCKET_NAME_DST, trigger_rule=TriggerRule.ALL_DONE ) chain( # TEST SETUP [create_bucket_src, create_bucket_dst], upload_file, # TEST BODY gcs_timespan_transform_files_task, # TEST TEARDOWN [delete_bucket_src, delete_bucket_dst], ) 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)

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