ferruzzi commented on code in PR #62645: URL: https://github.com/apache/airflow/pull/62645#discussion_r3066480826
########## task-sdk/src/airflow/sdk/execution_time/callback_supervisor.py: ########## @@ -0,0 +1,312 @@ +# 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. +"""Supervised execution of callback workloads.""" + +from __future__ import annotations + +import sys +import time +from importlib import import_module +from typing import TYPE_CHECKING, BinaryIO, ClassVar, Protocol +from uuid import UUID + +import attrs +import structlog +from pydantic import TypeAdapter + +from airflow.sdk.execution_time.supervisor import ( + MIN_HEARTBEAT_INTERVAL, + SOCKET_CLEANUP_TIMEOUT, + WatchedSubprocess, + _make_process_nondumpable, +) + +if TYPE_CHECKING: + from structlog.typing import FilteringBoundLogger + from typing_extensions import Self + + # Core (airflow.executors.workloads.base.BundleInfo) and SDK (airflow.sdk.api.datamodels._generated.BundleInfo) + # are structurally identical, but MyPy treats them as different types. This Protocol makes MyPy happy. + class _BundleInfoLike(Protocol): + name: str + version: str | None + + +__all__ = ["CallbackSubprocess", "supervise_callback"] + +log: FilteringBoundLogger = structlog.get_logger(logger_name="callback_supervisor") + + +def execute_callback( + callback_path: str, + callback_kwargs: dict, + log, +) -> tuple[bool, str | None]: + """ + Execute a callback function by importing and calling it, returning the success state. + + Supports two patterns: + 1. Functions - called directly with kwargs + 2. Classes that return callable instances (like BaseNotifier) - instantiated then called with context + + Example: + # Function callback + execute_callback("my_module.alert_func", {"msg": "Alert!", "context": {...}}, log) + + # Notifier callback + execute_callback("airflow.providers.slack...SlackWebhookNotifier", {"text": "Alert!"}, log) + + :param callback_path: Dot-separated import path to the callback function or class. + :param callback_kwargs: Keyword arguments to pass to the callback. + :param log: Logger instance for recording execution. + :return: Tuple of (success: bool, error_message: str | None) + """ + from airflow.sdk._shared.module_loading import accepts_context + + if not callback_path: + return False, "Callback path not found." + + try: + # Import the callback callable + # Expected format: "module.path.to.function_or_class" + module_path, function_name = callback_path.rsplit(".", 1) + module = import_module(module_path) + callback_callable = getattr(module, function_name) + + log.debug("Executing callback %s(%s)...", callback_path, callback_kwargs) + + kwargs_without_context = {k: v for k, v in callback_kwargs.items() if k != "context"} + + # Call the callable with all kwargs if it accepts context, otherwise strip context. + if accepts_context(callback_callable): + result = callback_callable(**callback_kwargs) + else: Review Comment: In the current code path, context is always injected by handle_miss(), it's never None. The old `and context is not None` guard was defensive against a case that can't occur. I intentionally simplified this since keeping context in the kwargs dict (rather than popping it out) is cleaner and avoids mutating the input. If a callback declares it accepts context, it should handle whatever value it gets. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
