blob: 466b5caa7d19acf91b7b224055c90c05c1d1f05d [file] [log] [blame]
# 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.
from __future__ import annotations
from typing import Any
from airflow.dag_processing.manager import DagFileProcessorManager
from airflow.jobs.base_job_runner import BaseJobRunner
from airflow.jobs.job import Job, perform_heartbeat
from airflow.utils.log.logging_mixin import LoggingMixin
def empty_callback(_: Any) -> None:
pass
class DagProcessorJobRunner(BaseJobRunner[Job], LoggingMixin):
"""
DagProcessorJobRunner is a job runner that runs a DagFileProcessorManager processor.
:param job: Job instance to use
:param processor: DagFileProcessorManager instance to use
"""
job_type = "DagProcessorJob"
def __init__(
self,
job: Job,
processor: DagFileProcessorManager,
*args,
**kwargs,
):
super().__init__(job)
self.processor = processor
self.processor.heartbeat = lambda: perform_heartbeat(
job=self.job,
heartbeat_callback=empty_callback,
only_if_necessary=True,
)
def _execute(self) -> int | None:
self.log.info("Starting the Dag Processor Job")
try:
self.processor.start()
except Exception:
self.log.exception("Exception when executing DagProcessorJob")
raise
finally:
self.processor.terminate()
self.processor.end()
return None