cli.py 文件源码

def worker(args):
    env = os.environ.copy()
    env['AIRFLOW_HOME'] = settings.AIRFLOW_HOME

    # Celery worker
    from airflow.executors.celery_executor import app as celery_app
    from celery.bin import worker

    worker = worker.worker(app=celery_app)
    options = {
        'optimization': 'fair',
        'O': 'fair',
        'queues': args.queues,
        'concurrency': args.concurrency,
    }

    if args.daemon:
        pid, stdout, stderr, log_file = setup_locations("worker", args.pid, args.stdout, args.stderr, args.log_file)
        handle = setup_logging(log_file)
        stdout = open(stdout, 'w+')
        stderr = open(stderr, 'w+')

        ctx = daemon.DaemonContext(
            pidfile=TimeoutPIDLockFile(pid, -1),
            files_preserve=[handle],
            stdout=stdout,
            stderr=stderr,
        )
        with ctx:
            sp = subprocess.Popen(['airflow', 'serve_logs'], env=env)
            worker.run(**options)
            sp.kill()

        stdout.close()
        stderr.close()
    else:
        signal.signal(signal.SIGINT, sigint_handler)
        signal.signal(signal.SIGTERM, sigint_handler)

        sp = subprocess.Popen(['airflow', 'serve_logs'], env=env)

        worker.run(**options)
        sp.kill()