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https://issues.apache.org/jira/browse/AIRFLOW-6250?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ash Berlin-Taylor resolved AIRFLOW-6250.
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Fix Version/s: 1.10.7
Resolution: Fixed
> on_failure_callback does not know the task_id when handle_failure() is called
> without passing context
> -----------------------------------------------------------------------------------------------------
>
> Key: AIRFLOW-6250
> URL: https://issues.apache.org/jira/browse/AIRFLOW-6250
> Project: Apache Airflow
> Issue Type: Improvement
> Components: scheduler
> Affects Versions: 1.10.6
> Reporter: Qian Yu
> Assignee: Qian Yu
> Priority: Major
> Fix For: 1.10.7
>
>
> The following code in scheduler_job.py can be hit e.g when
> {{send_task_to_executor()}} in celery_executor.py is too slow and times out
> after 2 seconds. But this call to {{handle_failure}}() is not passing a
> {{context}} object.
> So the {{on_failure_callback}} and on_retry_callback of tasks don't have an
> idea about what task failed.
>
> This can be fixed by making handle_failure() derive some reasonable default
> value for the context argument.
>
> {code:python}
> simple_dag = simple_dag_bag.get_dag(dag_id)
> dagbag = models.DagBag(simple_dag.full_filepath)
> dag = dagbag.get_dag(dag_id)
> ti.task = dag.get_task(task_id)
> ti.handle_failure(msg)
> {code}
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