Mavtti opened a new issue #18746:
URL: https://github.com/apache/airflow/issues/18746
### Apache Airflow version
2.0.2
### Operating System
Debian
### Versions of Apache Airflow Providers
_No response_
### Deployment
MWAA
### Deployment details
_No response_
### What happened
When calling the dag with a dagrun_timeout, if it reaches the limit, a
SIGTERM is sent but the function used for on_failure_callback is not called.
### What you expected to happen
_No response_
### How to reproduce
import logging
from datetime import datetime
from datetime import timedelta
from airflow import DAG
from airflow.operators.python import PythonOperator
from macros.utils import job_config
from operators.slack import SlackOperator
# Handling naming and environment logic - do not change
config = job_config(__name__)
logging.getLogger().setLevel(logging.INFO)
# These args are passed on to each operator, and can be overriden on a
per-task basis during operator initialization.
def sleep_timeout(**kwargs):
raise Exception("test")
def fail_callback(context):
logging.info("FAILED test")
logging.info(context)
default_args = {
"owner": "test",
"start_date": datetime(2021, 7, 6),
"on_failure_callback": fail_callback,
}
with DAG(
dag_id=config["name"],
default_args=default_args,
dagrun_timeout=timedelta(seconds=5),
schedule_interval="@daily",
catchup=False,
tags=[config["type"], config["env"]],
) as dag:
crawl_task = PythonOperator(task_id="sleep_timeout",
python_callable=sleep_timeout, dag=dag, provide_context=True)
### Anything else
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [X] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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