amoghrajesh commented on code in PR #76413:
URL: https://github.com/apache/airflow/pull/76413#discussion_r4508687043
##########
providers/amazon/src/airflow/providers/amazon/aws/hooks/sagemaker.py:
##########
@@ -581,6 +581,23 @@ def stop_training_job(self, training_job_name: str) ->
None:
return
raise
+ def stop_processing_job(self, processing_job_name: str) -> None:
+ """
+ Stop a running SageMaker processing job.
+
+ .. seealso::
+ - :external+boto3:py:meth:`SageMaker.Client.stop_processing_job`
+
+ :param processing_job_name: name of the processing job to stop.
+ """
+ try:
+
self.conn.stop_processing_job(ProcessingJobName=processing_job_name)
Review Comment:
Extracted `_stop_job` & both public methods delegate to it. Log output is
unchanged, so the existing training caplog assertion still matches.
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