nuclearpinguin commented on a change in pull request #7400: [AIRFLOW-6759]
Added MLEngine operator/hook to cancel MLEngine jobs
URL: https://github.com/apache/airflow/pull/7400#discussion_r377745225
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File path: airflow/providers/google/cloud/operators/mlengine.py
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@@ -1015,3 +1015,58 @@ def check_existing_job(existing_job):
if finished_training_job['state'] != 'SUCCEEDED':
self.log.error('MLEngine training job failed: %s',
str(finished_training_job))
raise RuntimeError(finished_training_job['errorMessage'])
+
+
+class MLEngineTrainingJobFailureOperator(BaseOperator):
+
+ """
+ Operator for cleaning up failed MLEngine training job.
+
+ :param job_id: A unique templated id for the submitted Google MLEngine
+ training job. (templated)
+ :type job_id: str
+ :param project_id: The Google Cloud project name within which MLEngine
training job should run.
+ If set to None or missing, the default project_id from the GCP
connection is used. (templated)
+ :type project_id: str
+ :param gcp_conn_id: The connection ID to use when fetching connection info.
+ :type gcp_conn_id: str
+ :param delegate_to: The account to impersonate, if any.
+ For this to work, the service account making the request must have
+ domain-wide delegation enabled.
+ :type delegate_to: str
+ """
+
+ template_fields = [
+ '_project_id',
+ '_job_id',
+ ]
Review comment:
Let use tuple here :)
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