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"""
Example Airflow DAG for Google Cloud Storage operators for listing, copying and deleting
bucket content.
"""
from __future__ import annotations
import os
from datetime import datetime
from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.gcs import (
GCSCreateBucketOperator,
GCSDeleteBucketOperator,
GCSDeleteObjectsOperator,
GCSListObjectsOperator,
)
from airflow.providers.google.cloud.transfers.gcs_to_gcs import GCSToGCSOperator
from airflow.providers.standard.operators.bash import BashOperator
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_copy_delete"
[docs]RESOURCES_BUCKET_NAME = "airflow-system-tests-resources"
[docs]BUCKET_NAME_SRC = f"bucket_{DAG_ID}_{ENV_ID}"
[docs]BUCKET_NAME_DST = f"bucket_dst_{DAG_ID}_{ENV_ID}"
[docs]FILE_NAME = "example_upload.txt"
[docs]UPLOAD_FILE_PATH = f"gcs/{FILE_NAME}"
with 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 = GCSToGCSOperator(
task_id="upload_file",
source_bucket=RESOURCES_BUCKET_NAME,
source_object=UPLOAD_FILE_PATH,
destination_bucket=BUCKET_NAME_SRC,
destination_object=FILE_NAME,
exact_match=True,
)
# [START howto_operator_gcs_list_bucket]
list_buckets = GCSListObjectsOperator(task_id="list_buckets", bucket=BUCKET_NAME_SRC)
# [END howto_operator_gcs_list_bucket]
list_buckets_result = BashOperator(
task_id="list_buckets_result",
bash_command=f"echo {list_buckets.output}",
)
copy_file = GCSToGCSOperator(
task_id="copy_file",
source_bucket=BUCKET_NAME_SRC,
source_object=FILE_NAME,
destination_bucket=BUCKET_NAME_DST,
destination_object=FILE_NAME,
)
# [START howto_operator_gcs_delete_object]
delete_files = GCSDeleteObjectsOperator(
task_id="delete_files", bucket_name=BUCKET_NAME_SRC, objects=[FILE_NAME]
)
# [END howto_operator_gcs_delete_object]
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
list_buckets,
list_buckets_result,
copy_file,
delete_files,
# 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)