Source code for airflow.contrib.sensors.sagemaker_transform_sensor

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from airflow.contrib.hooks.sagemaker_hook import SageMakerHook
from airflow.contrib.sensors.sagemaker_base_sensor import SageMakerBaseSensor
from airflow.utils.decorators import apply_defaults

[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: string """ template_fields = ['job_name'] template_ext = () @apply_defaults def __init__(self, job_name, *args, **kwargs): super(SageMakerTransformSensor, self).__init__(*args, **kwargs) self.job_name = job_name def non_terminal_states(self): return SageMakerHook.non_terminal_states def failed_states(self): return SageMakerHook.failed_states def get_sagemaker_response(self): sagemaker = SageMakerHook(aws_conn_id=self.aws_conn_id)'Poking Sagemaker Transform Job %s', self.job_name) return sagemaker.describe_transform_job(self.job_name) def get_failed_reason_from_response(self, response): return response['FailureReason'] def state_from_response(self, response): return response['TransformJobStatus']