Source code for airflow.providers.amazon.aws.sensors.ec2

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from __future__ import annotations

from functools import cached_property
from typing import TYPE_CHECKING, Any, Sequence

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] ui_color = "#cc8811"
[docs] ui_fgcolor = "#ffffff"
[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}")

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