ashb commented on a change in pull request #4091: [AIRFLOW-2524] Update
SageMaker hook, operator and sensor for training, tuning and transform
URL: https://github.com/apache/incubator-airflow/pull/4091#discussion_r228458616
##########
File path: airflow/contrib/sensors/sagemaker_training_sensor.py
##########
@@ -37,12 +41,31 @@ class SageMakerTrainingSensor(SageMakerBaseSensor):
@apply_defaults
def __init__(self,
job_name,
- region_name=None,
+ print_log=True,
*args,
**kwargs):
super(SageMakerTrainingSensor, self).__init__(*args, **kwargs)
self.job_name = job_name
- self.region_name = region_name
+ self.print_log = print_log
+ self.hook = SageMakerHook(aws_conn_id=self.aws_conn_id)
+ self.positions = {}
+ self.stream_names = []
+ self.instance_count = None
+ self.state = None
+ self.last_description = None
+ self.last_describe_job_call = None
+ self.log_resource_inited = False
+
+ def init_log_resource(self):
+ description = self.hook.describe_training_job(self.job_name)
+ self.instance_count = description['ResourceConfig']['InstanceCount']
+
+ status = description['TrainingJobStatus']
+ job_already_completed = False if status in self.non_terminal_states()
else True
Review comment:
Whoops! yes.
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