airflow dag_processor_command 源码
airflow dag_processor_command 代码
文件路径：/airflow/cli/commands/dag_processor_command.py
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# 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
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# 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
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# KIND, either express or implied. See the License for the
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"""DagProcessor command"""
from __future__ import annotations
import logging
from datetime import timedelta
import daemon
from daemon.pidfile import TimeoutPIDLockFile
from airflow import settings
from airflow.configuration import conf
from airflow.dag_processing.manager import DagFileProcessorManager
from airflow.utils import cli as cli_utils
from airflow.utils.cli import setup_locations, setup_logging
log = logging.getLogger(__name__)
def _create_dag_processor_manager(args) -> DagFileProcessorManager:
"""Creates DagFileProcessorProcess instance."""
processor_timeout_seconds: int = conf.getint('core', 'dag_file_processor_timeout')
processor_timeout = timedelta(seconds=processor_timeout_seconds)
return DagFileProcessorManager(
dag_directory=args.subdir,
max_runs=args.num_runs,
processor_timeout=processor_timeout,
dag_ids=[],
pickle_dags=args.do_pickle,
)
@cli_utils.action_cli
def dag_processor(args):
"""Starts Airflow Dag Processor Job"""
if not conf.getboolean("scheduler", "standalone_dag_processor"):
raise SystemExit('The option [scheduler/standalone_dag_processor] must be True.')
sql_conn: str = conf.get('database', 'sql_alchemy_conn').lower()
if sql_conn.startswith('sqlite'):
raise SystemExit('Standalone DagProcessor is not supported when using sqlite.')
manager = _create_dag_processor_manager(args)
if args.daemon:
pid, stdout, stderr, log_file = setup_locations(
"dag-processor", args.pid, args.stdout, args.stderr, args.log_file
)
handle = setup_logging(log_file)
with open(stdout, 'a') as stdout_handle, open(stderr, 'a') as stderr_handle:
stdout_handle.truncate(0)
stderr_handle.truncate(0)
ctx = daemon.DaemonContext(
pidfile=TimeoutPIDLockFile(pid, -1),
files_preserve=[handle],
stdout=stdout_handle,
stderr=stderr_handle,
umask=int(settings.DAEMON_UMASK, 8),
)
with ctx:
try:
manager.start()
finally:
manager.terminate()
manager.end()
else:
manager.start()
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