Source code for airflow.providers.amazon.aws.sensors.ec2
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from __future__ import annotations
from collections.abc import Sequence
from functools import cached_property
from typing import TYPE_CHECKING, Any
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.ec2 import EC2Hook
from airflow.providers.amazon.aws.triggers.ec2 import EC2StateSensorTrigger
from airflow.providers.amazon.aws.utils import validate_execute_complete_event
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class EC2InstanceStateSensor(BaseSensorOperator):
"""
Poll the state of the AWS EC2 instance until the instance reaches 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
:param deferrable: if True, the sensor will run in deferrable mode
"""
[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 | None = "aws_default",
region_name: str | None = None,
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
**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
self.deferrable = deferrable
[docs] def execute(self, context: Context) -> Any:
if self.deferrable:
self.defer(
trigger=EC2StateSensorTrigger(
instance_id=self.instance_id,
target_state=self.target_state,
aws_conn_id=self.aws_conn_id,
region_name=self.region_name,
poll_interval=int(self.poke_interval),
),
method_name="execute_complete",
)
else:
super().execute(context=context)
@cached_property
[docs] def hook(self):
return EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
[docs] def poke(self, context: Context):
instance_state = self.hook.get_instance_state(instance_id=self.instance_id)
self.log.info("instance state: %s", instance_state)
return instance_state == self.target_state
[docs] def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> None:
event = validate_execute_complete_event(event)
if event["status"] != "success":
raise AirflowException(f"Error: {event}")