Source code for airflow.providers.amazon.aws.sensors.ec2
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from typing import TYPE_CHECKING, Optional, Sequence
from airflow.providers.amazon.aws.hooks.ec2 import EC2Hook
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class EC2InstanceStateSensor(BaseSensorOperator):
"""
Check the state of the AWS EC2 instance until
state of the instance become equal to the target state.
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:EC2InstanceStateSensor`
:param target_state: target state of instance
:param instance_id: id of the AWS EC2 instance
:param region_name: (optional) aws region name associated with the client
"""
[docs] template_fields: Sequence[str] = ("target_state", "instance_id", "region_name")
[docs] valid_states = ["running", "stopped", "terminated"]
def __init__(
self,
*,
target_state: str,
instance_id: str,
aws_conn_id: str = "aws_default",
region_name: Optional[str] = None,
**kwargs,
):
if target_state not in self.valid_states:
raise ValueError(f"Invalid target_state: {target_state}")
super().__init__(**kwargs)
self.target_state = target_state
self.instance_id = instance_id
self.aws_conn_id = aws_conn_id
self.region_name = region_name
[docs] def poke(self, context: 'Context'):
ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
instance_state = ec2_hook.get_instance_state(instance_id=self.instance_id)
self.log.info("instance state: %s", instance_state)
return instance_state == self.target_state