#
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# distributed with this work for additional information
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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations

from datetime import datetime

# Originally, impersonation tests were incomplete missing the use case when
# DAGs access custom packages usually made available through the PYTHONPATH environment
# variable. This file includes a DAG that imports a custom package made available and if
# run via the previous implementation of impersonation, will fail by not being able to
# import the custom package.
# This DAG is used to test that impersonation propagates the PYTHONPATH environment
# variable correctly.
from fake_datetime import FakeDatetime

from airflow.models.dag import DAG
from airflow.operators.python import PythonOperator

DEFAULT_DATE = datetime(2016, 1, 1)

args = {"owner": "airflow", "start_date": DEFAULT_DATE, "run_as_user": "airflow_test_user"}

dag = DAG(dag_id="impersonation_with_custom_pkg", default_args=args)


def print_today():
    date_time = FakeDatetime.utcnow()
    print(f"Today is {date_time:%Y-%m-%d}")


def check_hive_conf():
    from airflow.configuration import conf

    assert conf.get("hive", "default_hive_mapred_queue") == "airflow"


PythonOperator(python_callable=print_today, task_id="exec_python_fn", dag=dag)

PythonOperator(python_callable=check_hive_conf, task_id="exec_check_hive_conf_fn", dag=dag)