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Posted to commits@airflow.apache.org by we...@apache.org on 2026/09/28 02:49:03 UTC
(airflow) 03/05: Drop the unreachable missing-batch_id branch in execute_complete
This is an automated email from the ASF dual-hosted git repository.
Lee-W pushed a commit to branch openai-batch-termination-reason
in repository https://gitbox.apache.org/repos/asf/airflow.git
commit 461d0392d666824fc04a8cfccc191a8062add58a
Author: Wei Lee <de...@wei-lee.me>
AuthorDate: Sat Sep 19 16:36:40 2026 +0900
Drop the unreachable missing-batch_id branch in execute_complete
Every TriggerEvent OpenAIBatchTrigger yields sets batch_id from a required
constructor argument, and OpenAITriggerBatchOperator only ever defers to that
trigger, so the branch that logged "carried no batch_id" could not be reached
and had no test covering it. The batch id is now read the way the success path
in the same method already reads it, with event["batch_id"], so the two paths
are consistently defensive.
---
.../airflow/providers/openai/operators/openai.py | 21 +++++++--------------
1 file changed, 7 insertions(+), 14 deletions(-)
diff --git a/providers/openai/src/airflow/providers/openai/operators/openai.py b/providers/openai/src/airflow/providers/openai/operators/openai.py
index f58258639f4..cade98742eb 100644
--- a/providers/openai/src/airflow/providers/openai/operators/openai.py
+++ b/providers/openai/src/airflow/providers/openai/operators/openai.py
@@ -487,20 +487,13 @@ class OpenAITriggerBatchOperator(BaseOperator):
event = validate_execute_complete_event(event)
if event["status"] != "success":
if event.get("termination_reason") == "timeout":
- batch_id = event.get("batch_id")
- if batch_id:
- self.log.warning(
- "%s timed out waiting for batch %s; requesting cancellation.",
- self.task_id,
- batch_id,
- )
- self._cancel_batch_quietly(batch_id)
- else:
- self.log.warning(
- "%s timed out but the trigger event carried no batch_id; "
- "skipping cancellation request.",
- self.task_id,
- )
+ batch_id = event["batch_id"]
+ self.log.warning(
+ "%s timed out waiting for batch %s; requesting cancellation.",
+ self.task_id,
+ batch_id,
+ )
+ self._cancel_batch_quietly(batch_id)
raise build_batch_error(event["message"], event.get("termination_reason"))
self.log.info("%s completed successfully.", self.task_id)