Source code for airflow.providers.amazon.aws.sensors.emr_containers
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from typing import Any, Optional
try:
from functools import cached_property
except ImportError:
from cached_property import cached_property
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.emr_containers import EMRContainerHook
from airflow.sensors.base import BaseSensorOperator
[docs]class EMRContainerSensor(BaseSensorOperator):
"""
Asks for the state of the job run until it reaches a failure state or success state.
If the job run fails, the task will fail.
:param job_id: job_id to check the state of
:type job_id: str
:param max_retries: Number of times to poll for query state before
returning the current state, defaults to None
:type max_retries: int
:param aws_conn_id: aws connection to use, defaults to 'aws_default'
:type aws_conn_id: str
:param poll_interval: Time in seconds to wait between two consecutive call to
check query status on athena, defaults to 10
:type poll_interval: int
"""
)
[docs] FAILURE_STATES = (
"FAILED",
"CANCELLED",
"CANCEL_PENDING",
)
[docs] SUCCESS_STATES = ("COMPLETED",)
[docs] template_fields = ['virtual_cluster_id', 'job_id']
def __init__(
self,
*,
virtual_cluster_id: str,
job_id: str,
max_retries: Optional[int] = None,
aws_conn_id: str = 'aws_default',
poll_interval: int = 10,
**kwargs: Any,
) -> None:
super().__init__(**kwargs)
self.aws_conn_id = aws_conn_id
self.virtual_cluster_id = virtual_cluster_id
self.job_id = job_id
self.poll_interval = poll_interval
self.max_retries = max_retries
[docs] def poke(self, context: dict) -> bool:
state = self.hook.poll_query_status(self.job_id, self.max_retries, self.poll_interval)
if state in self.FAILURE_STATES:
raise AirflowException('EMR Containers sensor failed')
if state in self.INTERMEDIATE_STATES:
return False
return True
@cached_property
[docs] def hook(self) -> EMRContainerHook:
"""Create and return an EMRContainerHook"""
return EMRContainerHook(self.aws_conn_id, virtual_cluster_id=self.virtual_cluster_id)