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

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from __future__ import annotations

from typing import TYPE_CHECKING, Sequence

from airflow.models import BaseOperator
from airflow.providers.amazon.aws.hooks.ec2 import EC2Hook

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs]class EC2StartInstanceOperator(BaseOperator): """ Start AWS EC2 instance using boto3. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:EC2StartInstanceOperator` :param instance_id: id of the AWS EC2 instance :param aws_conn_id: aws connection to use :param region_name: (optional) aws region name associated with the client :param check_interval: time in seconds that the job should wait in between each instance state checks until operation is completed """
[docs] template_fields: Sequence[str] = ("instance_id", "region_name")
[docs] ui_color = "#eeaa11"
[docs] ui_fgcolor = "#ffffff"
def __init__( self, *, instance_id: str, aws_conn_id: str = "aws_default", region_name: str | None = None, check_interval: float = 15, **kwargs, ): super().__init__(**kwargs) self.instance_id = instance_id self.aws_conn_id = aws_conn_id self.region_name = region_name self.check_interval = check_interval
[docs] def execute(self, context: Context): ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name) self.log.info("Starting EC2 instance %s", self.instance_id) instance = ec2_hook.get_instance(instance_id=self.instance_id) instance.start() ec2_hook.wait_for_state( instance_id=self.instance_id, target_state="running", check_interval=self.check_interval,
)
[docs]class EC2StopInstanceOperator(BaseOperator): """ Stop AWS EC2 instance using boto3. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:EC2StopInstanceOperator` :param instance_id: id of the AWS EC2 instance :param aws_conn_id: aws connection to use :param region_name: (optional) aws region name associated with the client :param check_interval: time in seconds that the job should wait in between each instance state checks until operation is completed """
[docs] template_fields: Sequence[str] = ("instance_id", "region_name")
[docs] ui_color = "#eeaa11"
[docs] ui_fgcolor = "#ffffff"
def __init__( self, *, instance_id: str, aws_conn_id: str = "aws_default", region_name: str | None = None, check_interval: float = 15, **kwargs, ): super().__init__(**kwargs) self.instance_id = instance_id self.aws_conn_id = aws_conn_id self.region_name = region_name self.check_interval = check_interval
[docs] def execute(self, context: Context): ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name) self.log.info("Stopping EC2 instance %s", self.instance_id) instance = ec2_hook.get_instance(instance_id=self.instance_id) instance.stop() ec2_hook.wait_for_state( instance_id=self.instance_id, target_state="stopped", check_interval=self.check_interval,
)

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