Source code for airflow.providers.amazon.aws.sensors.sagemaker_transform

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from airflow.providers.amazon.aws.hooks.sagemaker import SageMakerHook
from airflow.providers.amazon.aws.sensors.sagemaker_base import SageMakerBaseSensor


[docs]class SageMakerTransformSensor(SageMakerBaseSensor): """ Asks for the state of the transform state until it reaches a terminal state. The sensor will error if the job errors, throwing a AirflowException containing the failure reason. :param job_name: job_name of the transform job instance to check the state of :type job_name: str """
[docs] template_fields = ['job_name']
[docs] template_ext = ()
def __init__(self, *, job_name: str, **kwargs): super().__init__(**kwargs) self.job_name = job_name
[docs] def non_terminal_states(self): return SageMakerHook.non_terminal_states
[docs] def failed_states(self): return SageMakerHook.failed_states
[docs] def get_sagemaker_response(self): self.log.info('Poking Sagemaker Transform Job %s', self.job_name) return self.get_hook().describe_transform_job(self.job_name)
[docs] def get_failed_reason_from_response(self, response): return response['FailureReason']
[docs] def state_from_response(self, response): return response['TransformJobStatus']

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