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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 SageMakerEndpointSensor(SageMakerBaseSensor):
"""
Asks for the state of the endpoint state until it reaches a terminal state.
If it fails the sensor errors, the task fails.
:param job_name: job_name of the endpoint instance to check the state of
:type job_name: str
"""
[docs] template_fields = ['endpoint_name']
@apply_defaults
def __init__(self,
endpoint_name,
*args,
**kwargs):
super(SageMakerEndpointSensor, self).__init__(*args, **kwargs)
self.endpoint_name = endpoint_name
[docs] def non_terminal_states(self):
return SageMakerHook.endpoint_non_terminal_states
[docs] def failed_states(self):
return SageMakerHook.failed_states
[docs] def get_sagemaker_response(self):
sagemaker = SageMakerHook(aws_conn_id=self.aws_conn_id)
self.log.info('Poking Sagemaker Endpoint %s', self.endpoint_name)
return sagemaker.describe_endpoint(self.endpoint_name)
[docs] def get_failed_reason_from_response(self, response):
return response['FailureReason']
[docs] def state_from_response(self, response):
return response['EndpointStatus']