# # 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 TYPE_CHECKING, Callable from airflow.callbacks.base_callback_sink import BaseCallbackSink if TYPE_CHECKING: from multiprocessing.connection import Connection as MultiprocessingConnection from airflow.callbacks.callback_requests import CallbackRequest class PipeCallbackSink(BaseCallbackSink): """ Class for sending callbacks to DagProcessor using pipe. It is used when DagProcessor is not executed in standalone mode. """ def __init__(self, get_sink_pipe: Callable[[], MultiprocessingConnection]): self._get_sink_pipe = get_sink_pipe def send(self, callback: CallbackRequest): """ Send information about the callback to be executed by Pipe. :param callback: Callback request to be executed. """ try: self._get_sink_pipe().send(callback) except ConnectionError: # If this died cos of an error then we will noticed and restarted # when harvest_serialized_dags calls _heartbeat_manager. pass