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# to you under the Apache License, Version 2.0 (the
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"""
Example DAG using GoogleCloudStorageToGoogleDriveOperator.

Using this operator requires the following additional scopes:
https://www.googleapis.com/auth/drive
"""

from __future__ import annotations

import json
import logging
import os
from datetime import datetime
from pathlib import Path
from typing import Any

from tests_common.test_utils.version_compat import AIRFLOW_V_3_0_PLUS

if AIRFLOW_V_3_0_PLUS:
    from airflow.sdk import task
else:
    # Airflow 2 path
    from airflow.decorators import task  # type: ignore[attr-defined,no-redef]
from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.providers.google.cloud.transfers.gcs_to_gcs import GCSToGCSOperator
from airflow.providers.google.suite.hooks.drive import GoogleDriveHook
from airflow.providers.google.suite.transfers.gcs_to_gdrive import GCSToGoogleDriveOperator

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.google.gcp_api_client_helpers import create_airflow_connection, delete_airflow_connection

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
FOLDER_ID = os.environ.get("GCP_GDRIVE_FOLDER_ID", "root")

DAG_ID = "gcs_to_gdrive"

IS_COMPOSER = bool(os.environ.get("COMPOSER_ENVIRONMENT", ""))

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

TMP_PATH = "tmp"
WORK_DIR = f"folder_{DAG_ID}_{ENV_ID}".replace("-", "_")
CURRENT_FOLDER = Path(__file__).parent
LOCAL_PATH = str(Path("gcs"))
FILE_LOCAL_PATH = str(Path(LOCAL_PATH))
FILE_NAME = "example_upload.txt"

log = logging.getLogger(__name__)

with DAG(
    DAG_ID,
    schedule="@once",
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["example", "gcs", "gdrive"],
) as dag:

    @task
    def create_connection(connection_id: str):
        conn_extra_json = json.dumps(
            {"scope": "https://www.googleapis.com/auth/drive,https://www.googleapis.com/auth/cloud-platform"}
        )
        connection: dict[str, Any] = {"conn_type": "google_cloud_platform", "extra": conn_extra_json}
        create_airflow_connection(
            connection_id=connection_id,
            connection_conf=connection,
            is_composer=IS_COMPOSER,
        )

    create_connection_task = create_connection(connection_id=CONNECTION_ID)

    create_bucket = GCSCreateBucketOperator(
        task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID
    )

    upload_file_1 = GCSToGCSOperator(
        task_id="upload_file_1",
        source_bucket=RESOURCES_BUCKET_NAME,
        source_object=f"{FILE_LOCAL_PATH}/{FILE_NAME}",
        destination_bucket=BUCKET_NAME,
        destination_object=f"{TMP_PATH}/{FILE_NAME}",
        exact_match=True,
    )

    upload_file_2 = GCSToGCSOperator(
        task_id="upload_file_2",
        source_bucket=RESOURCES_BUCKET_NAME,
        source_object=f"{FILE_LOCAL_PATH}/{FILE_NAME}",
        destination_bucket=BUCKET_NAME,
        destination_object=f"{TMP_PATH}/2_{FILE_NAME}",
        exact_match=True,
    )
    # [START howto_operator_gcs_to_gdrive_copy_single_file]
    copy_single_file = GCSToGoogleDriveOperator(
        task_id="copy_single_file",
        gcp_conn_id=CONNECTION_ID,
        source_bucket=BUCKET_NAME,
        source_object=f"{TMP_PATH}/{FILE_NAME}",
        destination_object=f"{WORK_DIR}/copied_{FILE_NAME}",
    )
    # [END howto_operator_gcs_to_gdrive_copy_single_file]

    # [START howto_operator_gcs_to_gdrive_copy_single_file_into_folder]
    copy_single_file_into_folder = GCSToGoogleDriveOperator(
        task_id="copy_single_file_into_folder",
        gcp_conn_id=CONNECTION_ID,
        source_bucket=BUCKET_NAME,
        source_object=f"{TMP_PATH}/{FILE_NAME}",
        destination_object=f"{WORK_DIR}/copied_{FILE_NAME}",
        destination_folder_id=FOLDER_ID,
    )
    # [END howto_operator_gcs_to_gdrive_copy_single_file_into_folder]

    # [START howto_operator_gcs_to_gdrive_copy_files]
    copy_files = GCSToGoogleDriveOperator(
        task_id="copy_files",
        gcp_conn_id=CONNECTION_ID,
        source_bucket=BUCKET_NAME,
        source_object=f"{TMP_PATH}/*",
        destination_object=f"{WORK_DIR}/",
    )
    # [END howto_operator_gcs_to_gdrive_copy_files]

    # [START howto_operator_gcs_to_gdrive_move_files]
    move_files = GCSToGoogleDriveOperator(
        task_id="move_files",
        gcp_conn_id=CONNECTION_ID,
        source_bucket=BUCKET_NAME,
        source_object=f"{TMP_PATH}/*.txt",
        destination_object=f"{WORK_DIR}/",
        move_object=True,
    )
    # [END howto_operator_gcs_to_gdrive_move_files]

    @task(trigger_rule=TriggerRule.ALL_DONE)
    def remove_files_from_drive():
        service = GoogleDriveHook(gcp_conn_id=CONNECTION_ID).get_conn()
        root_path = (
            service.files()
            .list(q=f"name = '{WORK_DIR}' and mimeType = 'application/vnd.google-apps.folder'")
            .execute()
        )
        if files := root_path["files"]:
            batch = service.new_batch_http_request()
            for file in files:
                log.info("Preparing to remove file: %s", file)
                batch.add(service.files().delete(fileId=file["id"]))
            batch.execute()
            log.info("Selected files removed.")

    remove_files_from_drive_task = remove_files_from_drive()

    delete_bucket = GCSDeleteBucketOperator(
        task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
    )

    @task(task_id="delete_connection")
    def delete_connection(connection_id: str) -> None:
        delete_airflow_connection(connection_id=connection_id, is_composer=IS_COMPOSER)

    delete_connection_task = delete_connection(connection_id=CONNECTION_ID)

    # TEST SETUP
    create_bucket >> [upload_file_1, upload_file_2]
    (
        [upload_file_1, upload_file_2, create_connection_task]
        # TEST BODY
        >> copy_single_file
        >> copy_single_file_into_folder
        >> copy_files
        >> move_files
        # TEST TEARDOWN
        >> remove_files_from_drive_task
        >> [delete_bucket, delete_connection_task]
    )

    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)
