benitezfede commented on code in PR #53654:
URL: https://github.com/apache/airflow/pull/53654#discussion_r2226856320
##########
airflow-core/src/airflow/models/dagrun.py:
##########
@@ -2013,6 +2017,29 @@ def _get_log_template(log_template_id: int | None,
session: Session = NEW_SESSIO
def _get_partial_task_ids(dag: DAG | None) -> list[str] | None:
return dag.task_ids if dag and dag.partial else None
+ def serialize_for_callback(self) -> dict[str, Any]:
+ """
+ Serialize DagRun object into a dictionary for callback requests.
+
+ This method creates a serialized representation of the DagRun that can
be
+ safely passed to subprocesses without requiring database access.
+
+ :return: Dictionary containing serialized DagRun information
+ """
+ return {
+ "dag_id": self.dag_id,
+ "run_id": self.run_id,
+ "state": self.state,
+ "logical_date": self.logical_date.isoformat() if self.logical_date
else None,
+ "start_date": self.start_date.isoformat() if self.start_date else
None,
+ "end_date": self.end_date.isoformat() if self.end_date else None,
+ "conf": self.conf,
+ "run_type": self.run_type,
+ "run_after": self.run_after.isoformat() if self.run_after else
None,
+ "data_interval_start": self.data_interval_start.isoformat() if
self.data_interval_start else None,
+ "data_interval_end": self.data_interval_end.isoformat() if
self.data_interval_end else None,
+ }
+
Review Comment:
Thanks for addressing this issue!
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