kaxil opened a new pull request, #53058: URL: https://github.com/apache/airflow/pull/53058
…illed Until https://github.com/apache/airflow/issues/44354 is implemented, tasks killed externally or when supervisor process dies unexpectedly, users have no way of knowing this happened. This has been a blocker for Airflow 3.0 adoption for some: - https://github.com/apache/airflow/issues/44354 - https://apache-airflow.slack.com/archives/C07813CNKA8/p1751057525231389 https://github.com/apache/airflow/issues/44354 is more involved and we might not get to it for Airflow 3.1 -- so this is a good fix until then similar to how we run Dag Run callback. Ran a example DAG: ```py import time from airflow.sdk import dag from airflow.providers.standard.operators.python import PythonOperator @dag def my_dag(): def fail_cb(context): print("From inside the callback") print(context) def n_s(): time.sleep(3000) t = PythonOperator( task_id="my_task", python_callable=n_s, on_failure_callback=fail_cb ) t my_dag() ``` DAG Processor Logs after I killed the Supervisor & task process when the task is running: ``` {"timestamp":"2025-07-08T22:48:31.568171Z","level":"info","event":"{'dag': <DAG: my_dag>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-07-08T22:44:37.346022+00:00', 'task': <Task(PythonOperator): my_task>, 'task_instance': RuntimeTaskInstance(id=UUID('0197ec36-656a-75b7-814a-c409886945e2'), task_id='my_task', dag_id='my_dag', run_id='manual__2025-07-08T22:44:37.346022+00:00', try_number=2, dag_version_id=UUID('0197ec0c-669e-7e05-80e3-97c3549dbfda'), map_index=-1, hostname='c9bd6c415dbf', context_carrier={}, task=<Task(PythonOperator): my_task>, max_tries=0, end_date=None, state=None, is_mapped=None, rendered_map_index=None, log_url=None), 'ti': RuntimeTaskInstance(id=UUID('0197ec36-656a-75b7-814a-c409886945e2'), task_id='my_task', dag_id='my_dag', run_id='manual__2025-07-08T22:44:37.346022+00:00', try_number=2, dag_version_id=UUID('0197ec0c-669e-7e05-80e3-97c3549dbfda'), map_index=-1, hostname='c9bd6c415dbf', context_carrier={}, task=<Task(Pytho nOperator): my_task>, max_tries=0, end_date=None, state=None, is_mapped=None, rendered_map_index=None, log_url=None), 'outlet_events': <airflow.sdk.execution_time.context.OutletEventAccessors object at 0xffff6cb48880>, 'inlet_events': InletEventsAccessors(_inlets=[], _assets={}, _asset_aliases={}), 'macros': <MacrosAccessor (dynamic access to macros)>, 'params': {}, 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='my_dag', run_id='manual__2025-07-08T22:44:37.346022+00:00', logical_date=datetime.datetime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), data_interval_start=datetime.datetime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), data_interval_end=datetime.datetime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), run_after=datetime.datetime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), start_date=datetime.datetime(2025, 7, 8, 22, 44, 44, 227565, tzinfo=Timezone('UTC')), end_date=None, clear_number=0, run_type=<DagRunType.MANUAL: 'manual'>, conf={}, consumed_asset_events=[]), 'triggering_asset_events': TriggeringAssetEventsAccessor(_events=defaultdict(<class 'list'>, {})), 'task_instance_key_str': 'my_dag__my_task__20250708', 'task_reschedule_count': 0, 'prev_start_date_success': <Proxy at 0xffff6cb48cd0 with factory <function RuntimeTaskInstance.get_template_context.<locals>.<lambda> at 0xffff6c494280>>, 'prev_end_date_success': <Proxy at 0xffff6cb48d30 with factory <function RuntimeTaskInstance.get_template_context.<locals>.<lambda> at 0xffff6c8e5120>>, 'logical_date': DateTime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), 'ds': '2025-07-08', 'ds_nodash': '20250708', 'ts': '2025-07-08T22:44:35.842000+00:00', 'ts_nodash': '20250708T224435', 'ts_nodash_with_tz': '20250708T224435.842000+0000', 'data_interval_end': DateTime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), 'data_int erval_start': DateTime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), 'prev_data_interval_start_success': <Proxy at 0xffff6cb48dc0 with factory <function RuntimeTaskInstance.get_template_context.<locals>.<lambda> at 0xffff6c8e51b0>>, 'prev_data_interval_end_success': <Proxy at 0xffff6cb48df0 with factory <function RuntimeTaskInstance.get_template_context.<locals>.<lambda> at 0xffff6c8e5240>>}","chan":"stdout","logger":"processor"} {"timestamp":"2025-07-08T22:48:31.568235Z","level":"info","event":"From inside the callback","chan":"stdout","logger":"processor"} {"timestamp":"2025-07-08T22:48:31.572041Z","level":"info","event":"{'dag': <DAG: my_dag>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-07-08T22:44:37.346022+00:00', 'task': <Task(PythonOperator): my_task>, 'task_instance': RuntimeTaskInstance(id=UUID('0197ec36-656a-75b7-814a-c409886945e2'), task_id='my_task', dag_id='my_dag', run_id='manual__2025-07-08T22:44:37.346022+00:00', try_number=2, dag_version_id=UUID('0197ec0c-669e-7e05-80e3-97c3549dbfda'), map_index=-1, hostname='c9bd6c415dbf', context_carrier={}, task=<Task(PythonOperator): my_task>, max_tries=0, end_date=None, state=None, is_mapped=None, rendered_map_index=None, log_url=None), 'ti': RuntimeTaskInstance(id=UUID('0197ec36-656a-75b7-814a-c409886945e2'), task_id='my_task', dag_id='my_dag', run_id='manual__2025-07-08T22:44:37.346022+00:00', try_number=2, dag_version_id=UUID('0197ec0c-669e-7e05-80e3-97c3549dbfda'), map_index=-1, hostname='c9bd6c415dbf', context_carrier={}, task=<Task(Pytho nOperator): my_task>, max_tries=0, end_date=None, state=None, is_mapped=None, rendered_map_index=None, log_url=None), 'outlet_events': <airflow.sdk.execution_time.context.OutletEventAccessors object at 0xffff6cb48e20>, 'inlet_events': InletEventsAccessors(_inlets=[], _assets={}, _asset_aliases={}), 'macros': <MacrosAccessor (dynamic access to macros)>, 'params': {}, 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='my_dag', run_id='manual__2025-07-08T22:44:37.346022+00:00', logical_date=datetime.datetime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), data_interval_start=datetime.datetime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), data_interval_end=datetime.datetime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), run_after=datetime.datetime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), start_date=datetime.datetime(2025, 7, 8, 22, 44, 44, 227565, tzinfo=Timezone('UTC')), end_date=None, clear_number=0, run_type=<DagRunType.MANUAL: 'manual'>, conf={}, consumed_asset_events=[]), 'triggering_asset_events': TriggeringAssetEventsAccessor(_events=defaultdict(<class 'list'>, {})), 'task_instance_key_str': 'my_dag__my_task__20250708', 'task_reschedule_count': 0, 'prev_start_date_success': <Proxy at 0xffff6cb48ca0 with factory <function RuntimeTaskInstance.get_template_context.<locals>.<lambda> at 0xffff6c494280>>, 'prev_end_date_success': <Proxy at 0xffff6cb48c70 with factory <function RuntimeTaskInstance.get_template_context.<locals>.<lambda> at 0xffff6c8e52d0>>, 'logical_date': DateTime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), 'ds': '2025-07-08', 'ds_nodash': '20250708', 'ts': '2025-07-08T22:44:35.842000+00:00', 'ts_nodash': '20250708T224435', 'ts_nodash_with_tz': '20250708T224435.842000+0000', 'data_interval_end': DateTime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), 'data_int erval_start': DateTime(2025, 7, 8, 22, 44, 35, 842000, tzinfo=Timezone('UTC')), 'prev_data_interval_start_success': <Proxy at 0xffff6cb488e0 with factory <function RuntimeTaskInstance.get_template_context.<locals>.<lambda> at 0xffff6c8e5240>>, 'prev_data_interval_end_success': <Proxy at 0xffff6cb48880 with factory <function RuntimeTaskInstance.get_template_context.<locals>.<lambda> at 0xffff6c8e51b0>>}","chan":"stdout","logger":"processor"} ``` <!-- 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. --> <!-- Thank you for contributing! Please make sure that your code changes are covered with tests. And in case of new features or big changes remember to adjust the documentation. Feel free to ping committers for the review! In case of an existing issue, reference it using one of the following: closes: #ISSUE related: #ISSUE How to write a good git commit message: http://chris.beams.io/posts/git-commit/ --> <!-- Please keep an empty line above the dashes. --> --- **^ Add meaningful description above** Read the **[Pull Request Guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-guidelines)** for more information. In case of fundamental code changes, an Airflow Improvement Proposal ([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals)) is needed. In case of a new dependency, check compliance with the [ASF 3rd Party License Policy](https://www.apache.org/legal/resolved.html#category-x). In case of backwards incompatible changes please leave a note in a newsfragment file, named `{pr_number}.significant.rst` or `{issue_number}.significant.rst`, in [airflow-core/newsfragments](https://github.com/apache/airflow/tree/main/airflow-core/newsfragments). -- 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: commits-unsubscr...@airflow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
