#  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.
import json
import pathlib
from datetime import timedelta

from airflow import DAG

try:
    from airflow.operators.python import PythonOperator
except ModuleNotFoundError:
    from airflow.operators.python_operator import PythonOperator

from airflow.utils.dates import days_ago

from metadata.config.common import load_config_file
from metadata.ingestion.api.workflow import Workflow

default_args = {
    "owner": "user_name",
    "retries": 3,
    "retry_delay": timedelta(minutes=2),
    "execution_timeout": timedelta(minutes=60),
    "schedule_interval": "*/5 * * * *",
}

config = """
{
  "source": {
    "type": "metadata",
    "config": {
      "include_tables": "true",
      "include_topics": "true",
      "include_dashboards": "true",
      "limit_records": 10
    }
  },
  "sink": {
    "type": "elasticsearch",
    "config": {
      "index_tables": "true",
      "index_topics": "true",
      "index_dashboards": "true",
      "es_host": "localhost",
      "es_port": 9200
    }
  },
  "metadata_server": {
    "type": "metadata-server",
    "config": {
      "api_endpoint": "http://localhost:8585/api",
      "auth_provider_type": "no-auth"
    }
  }
}
"""


def metadata_ingestion_workflow():
    workflow_config = json.loads(config)
    workflow = Workflow.create(workflow_config)
    workflow.execute()
    workflow.raise_from_status()
    workflow.print_status()
    workflow.stop()


with DAG(
    "index_metadata",
    default_args=default_args,
    description="An example DAG which runs a OpenMetadata ingestion workflow",
    start_date=days_ago(1),
    is_paused_upon_creation=False,
    catchup=False,
) as dag:
    ingest_task = PythonOperator(
        task_id="ingest_using_recipe",
        python_callable=metadata_ingestion_workflow,
    )