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# to you under the Apache License, Version 2.0 (the
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#
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"""
Example Airflow DAG for HTTP to Google Cloud Storage transfer operators.
"""

from __future__ import annotations

import os
from datetime import datetime
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.http_to_gcs import HttpToGCSOperator

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.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", "default")

DAG_ID = "example_http_to_gcs"
BUCKET_NAME = f"bucket-{DAG_ID}-{ENV_ID}"

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


with DAG(
    DAG_ID,
    schedule="@once",
    start_date=datetime(2025, 1, 1),
    catchup=False,
    tags=["example, http_to_gcs"],
) as dag:
    conn_id_name = f"{ENV_ID}-http-conn-id"

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

    @task(task_id="create_connection")
    def create_connection(conn_id_name: str):
        connection: dict[str, Any] = {"conn_type": "http", "host": "http://airflow.apache.org"}
        create_airflow_connection(
            connection_id=conn_id_name,
            connection_conf=connection,
            is_composer=IS_COMPOSER,
        )

    set_up_connection = create_connection(conn_id_name)

    # [START howto_transfer_http_to_gcs]
    http_to_gcs_task = HttpToGCSOperator(
        task_id="http_to_gcs_task",
        http_conn_id=conn_id_name,
        endpoint="/community",
        bucket_name=BUCKET_NAME,
        object_name="endpoint_http_content_file",
    )
    # [END howto_transfer_http_to_gcs]

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

    @task(task_id="delete_connection", trigger_rule=TriggerRule.ALL_DONE)
    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=conn_id_name)

    (
        # TEST SETUP
        [create_bucket, set_up_connection]
        # TEST BODY
        >> http_to_gcs_task
        # TEST TEARDOWN
        >> [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)
