o-nikolas commented on code in PR #69002:
URL: https://github.com/apache/airflow/pull/69002#discussion_r3483158711
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providers/amazon/src/airflow/providers/amazon/aws/operators/sagemaker.py:
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@@ -369,7 +392,78 @@ def execute_complete(self, context: Context, event:
dict[str, Any] | None = None
self.log.info("SageMaker job %s completed.",
validated_event["job_name"])
self.serialized_job =
serialize(self.hook.describe_processing_job(validated_event["job_name"]))
self.log.info("%s completed successfully.", self.task_id)
- return {"Processing": self.serialized_job}
+ result = {"Processing": self.serialized_job}
+ result.update(self._read_output_files())
+ return result
+
+ def _read_output_files(self) -> dict:
+ """Read configured output files from S3 after job completion and
return them for XCom."""
+ if not self.output_files_to_xcom:
+ return {}
+
+ if not self.wait_for_completion:
+ self.log.warning(
+ "output_files_to_xcom is configured but
wait_for_completion=False. "
+ "Output files cannot be read before the job completes.
Skipping."
+ )
Review Comment:
You should be able to determine this straight away before the job is even
started in `execute()` if you wanted to fail early. Or I think you could
possibly fail at parse time if you check this in `init`.
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