vincbeck commented on code in PR #28900:
URL: https://github.com/apache/airflow/pull/28900#discussion_r1261113735
##########
airflow/models/dag.py:
##########
@@ -1378,6 +1379,33 @@ def normalized_schedule_interval(self) ->
ScheduleInterval:
_schedule_interval = self.schedule_interval
return _schedule_interval
+ @staticmethod
+ @internal_api_call
+ @provide_session
+ def fetch_callback(
+ dag: DAG, dagrun: DagRun | DagRunPydantic, success=True, reason=None,
session=NEW_SESSION
+ ):
+ """
+ Fetch the appropriate callbacks depending on the value of success,
namely the
+ on_failure_callback or on_success_callback. This method gets the
context of a
+ single TaskInstance part of this DagRun and returns it along the list
of callbacks.
+
+ :param dag: DAG object
+ :param dagrun: DagRun object
+ :param success: Flag to specify if failure or success callback should
be called
+ :param reason: Completion reason
+ :param session: Database session
+ """
+ callbacks = dag.on_success_callback if success else
dag.on_failure_callback
+ if callbacks:
+ callbacks = callbacks if isinstance(callbacks, list) else
[callbacks]
+ tis = dagrun.get_task_instances(session=session)
+ ti = tis[-1] # get first TaskInstance of DagRun
Review Comment:
This is the current code. See
[here](https://github.com/apache/airflow/blob/main/airflow/models/dag.py#L1401).
Happy to optimize this one on a separate PR but I think this PR is complex
enough to not address it here :)
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