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"""
Example Airflow DAG that demonstrates interactions with Google Cloud Transfer.
"""
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.cloud_storage_transfer_service import (
CloudDataTransferServiceGCSToGCSOperator,
)
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", "default")
[docs]
PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default")
[docs]
DAG_ID = "example_transfer_gcs_to_gcs"
[docs]
BUCKET_NAME_SRC = f"src-bucket-{DAG_ID}-{ENV_ID}".replace("_", "-")
[docs]
BUCKET_NAME_DST = f"dst-bucket-{DAG_ID}-{ENV_ID}".replace("_", "-")
[docs]
FILE_NAME = "transfer_service_gcs_to_gcs_file"
[docs]
FILE_URI = f"gs://{BUCKET_NAME_SRC}/{FILE_NAME}"
[docs]
CURRENT_FOLDER = Path(__file__).parent
[docs]
FILE_LOCAL_PATH = str(Path(CURRENT_FOLDER) / "resources" / FILE_NAME)
with DAG(
DAG_ID,
schedule="@once", # Override to match your needs
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example", "transfer", "gcs-to-gcs"],
) as dag:
[docs]
create_bucket_src = GCSCreateBucketOperator(
task_id="create_bucket_src",
bucket_name=BUCKET_NAME_SRC,
project_id=PROJECT_ID,
)
upload_file = LocalFilesystemToGCSOperator(
task_id="upload_file",
src=FILE_LOCAL_PATH,
dst=FILE_NAME,
bucket=BUCKET_NAME_SRC,
)
create_bucket_dst = GCSCreateBucketOperator(
task_id="create_bucket_dst",
bucket_name=BUCKET_NAME_DST,
project_id=PROJECT_ID,
)
# [START howto_operator_transfer_gcs_to_gcs]
transfer_gcs_to_gcs = CloudDataTransferServiceGCSToGCSOperator(
task_id="transfer_gcs_to_gcs",
source_bucket=BUCKET_NAME_SRC,
source_path=FILE_URI,
destination_bucket=BUCKET_NAME_DST,
destination_path=FILE_URI,
wait=True,
)
# [END howto_operator_transfer_gcs_to_gcs]
# [START howto_operator_transfer_gcs_to_gcs_defered]
transfer_gcs_to_gcs_defered = CloudDataTransferServiceGCSToGCSOperator(
task_id="transfer_gcs_to_gcs_defered",
source_bucket=BUCKET_NAME_SRC,
source_path=FILE_URI,
destination_bucket=BUCKET_NAME_DST,
destination_path=FILE_URI,
wait=True,
deferrable=True,
)
# [END howto_operator_transfer_gcs_to_gcs_defered]
delete_bucket_dst = GCSDeleteBucketOperator(
task_id="delete_bucket", bucket_name=BUCKET_NAME_DST, trigger_rule=TriggerRule.ALL_DONE
)
delete_bucket_src = GCSDeleteBucketOperator(
task_id="delete_bucket_src", bucket_name=BUCKET_NAME_SRC, trigger_rule=TriggerRule.ALL_DONE
)
# TEST SETUP
create_bucket_src >> upload_file
[create_bucket_dst, upload_file] >> transfer_gcs_to_gcs
(
[create_bucket_dst, create_bucket_src >> upload_file]
# TEST BODY
>> transfer_gcs_to_gcs
>> transfer_gcs_to_gcs_defered
# TEST TEARDOWN
>> [delete_bucket_src, delete_bucket_dst]
)
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)