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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

try:
    from airflow.sdk import TriggerRule
except ImportError:
    # Compatibility for Airflow < 3.1
    from airflow.utils.trigger_rule import TriggerRule  # type: ignore[no-redef,attr-defined]

from system.google import DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
from system.openlineage.operator import OpenLineageTestOperator

ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT") or DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID

DAG_ID = "gcs_transform"

RESOURCES_BUCKET_NAME = "airflow-system-tests-resources"
BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"

FILE_NAME = "example_upload.txt"
UPLOAD_FILE_PATH = f"gcs/{FILE_NAME}"

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:
    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
    )

    check_openlineage_events = OpenLineageTestOperator(
        task_id="check_openlineage_events",
        file_path=str(Path(__file__).parent / "resources" / "openlineage" / "gcs_transform.json"),
    )

    (
        # TEST SETUP
        create_bucket
        >> upload_file
        # TEST BODY
        >> transform_file
        # TEST TEARDOWN
        >> [delete_bucket, check_openlineage_events]
    )

    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: contributing-docs/testing/system_tests.rst)
test_run = get_test_run(dag)
