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from airflow.contrib.hooks.emr_hook import EmrHook
from airflow.contrib.sensors.emr_base_sensor import EmrBaseSensor
from airflow.utils import apply_defaults
[docs]class EmrStepSensor(EmrBaseSensor):
"""
Asks for the state of the step until it reaches a terminal state.
If it fails the sensor errors, failing the task.
:param job_flow_id: job_flow_id which contains the step check the state of
:type job_flow_id: str
:param step_id: step to check the state of
:type step_id: str
"""
[docs] NON_TERMINAL_STATES = ['PENDING', 'RUNNING', 'CONTINUE', 'CANCEL_PENDING']
[docs] FAILED_STATE = ['CANCELLED', 'FAILED', 'INTERRUPTED']
[docs] template_fields = ['job_flow_id', 'step_id']
@apply_defaults
def __init__(self,
job_flow_id,
step_id,
*args,
**kwargs):
super(EmrStepSensor, self).__init__(*args, **kwargs)
self.job_flow_id = job_flow_id
self.step_id = step_id
[docs] def get_emr_response(self):
emr = EmrHook(aws_conn_id=self.aws_conn_id).get_conn()
self.log.info('Poking step %s on cluster %s', self.step_id, self.job_flow_id)
return emr.describe_step(ClusterId=self.job_flow_id, StepId=self.step_id)
@staticmethod
[docs] def state_from_response(response):
return response['Step']['Status']['State']
@staticmethod
[docs] def failure_message_from_response(response):
fail_details = response['Step']['Status'].get('FailureDetails')
if fail_details:
return 'for reason {} with message {} and log file {}'.format(fail_details.get('Reason'),
fail_details.get('Message'),
fail_details.get('LogFile'))
return None