#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# 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.
"""
This DAG will use Papermill to run the notebook "hello_world", based on the logical date
it will create an output notebook "out-<date>". All fields, including the keys in the parameters, are
templated.
"""

from __future__ import annotations

import os
from datetime import datetime, timedelta

import scrapbook as sb

from airflow import DAG

try:
    from airflow.sdk import task
except ImportError:
    # Airflow 2 path
    from airflow.decorators import task  # type: ignore[attr-defined,no-redef]
from airflow.providers.papermill.operators.papermill import PapermillOperator

START_DATE = datetime(2021, 1, 1)
SCHEDULE_INTERVAL = "@once"
DAGRUN_TIMEOUT = timedelta(minutes=60)
ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
DAG_ID = "example_papermill_operator_remote_verify"


# [START howto_verify_operator_papermill_remote_kernel]
@task
def check_notebook(output_notebook, execution_date):
    """
    Verify the message in the notebook
    """
    notebook = sb.read_notebook(output_notebook)
    message = notebook.scraps["message"]
    print(f"Message in notebook {message} for {execution_date}")

    if message.data != f"Ran from Airflow at {execution_date}!":
        return False

    return True


with DAG(
    dag_id="example_papermill_operator_remote_verify",
    schedule="@once",
    start_date=START_DATE,
    dagrun_timeout=DAGRUN_TIMEOUT,
    catchup=False,
) as dag:
    run_this = PapermillOperator(
        task_id="run_example_notebook",
        input_nb=os.path.join(os.path.dirname(os.path.realpath(__file__)), "input_notebook.ipynb"),
        output_nb="/tmp/out-{{ execution_date }}.ipynb",
        parameters={"msgs": "Ran from Airflow at {{ execution_date }}!"},
        kernel_conn_id="jupyter_kernel_default",
    )

    run_this >> check_notebook(
        output_notebook="/tmp/out-{{ execution_date }}.ipynb", execution_date="{{ execution_date }}"
    )
# [END howto_verify_operator_papermill_remote_kernel]

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)
test_run = get_test_run(dag)
