Source code for airflow.providers.amazon.aws.sensors.cloud_formation
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""This module contains sensors for AWS CloudFormation."""
from __future__ import annotations
from typing import TYPE_CHECKING, Sequence
if TYPE_CHECKING:
from airflow.utils.context import Context
from airflow.compat.functools import cached_property
from airflow.providers.amazon.aws.hooks.cloud_formation import CloudFormationHook
from airflow.sensors.base import BaseSensorOperator
[docs]class CloudFormationCreateStackSensor(BaseSensorOperator):
"""
Waits for a stack to be created successfully on AWS CloudFormation.
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:CloudFormationCreateStackSensor`
:param stack_name: The name of the stack to wait for (templated)
:param aws_conn_id: ID of the Airflow connection where credentials and extra configuration are
stored
:param poke_interval: Time in seconds that the job should wait between each try
"""
def __init__(self, *, stack_name, aws_conn_id="aws_default", region_name=None, **kwargs):
super().__init__(**kwargs)
self.stack_name = stack_name
self.aws_conn_id = aws_conn_id
self.region_name = region_name
[docs] def poke(self, context: Context):
stack_status = self.hook.get_stack_status(self.stack_name)
if stack_status == "CREATE_COMPLETE":
return True
if stack_status in ("CREATE_IN_PROGRESS", None):
return False
raise ValueError(f"Stack {self.stack_name} in bad state: {stack_status}")
@cached_property
[docs] def hook(self) -> CloudFormationHook:
"""Create and return a CloudFormationHook"""
return CloudFormationHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
[docs]class CloudFormationDeleteStackSensor(BaseSensorOperator):
"""
Waits for a stack to be deleted successfully on AWS CloudFormation.
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:CloudFormationDeleteStackSensor`
:param stack_name: The name of the stack to wait for (templated)
:param aws_conn_id: ID of the Airflow connection where credentials and extra configuration are
stored
:param poke_interval: Time in seconds that the job should wait between each try
"""
def __init__(
self,
*,
stack_name: str,
aws_conn_id: str = "aws_default",
region_name: str | None = None,
**kwargs,
):
super().__init__(**kwargs)
self.aws_conn_id = aws_conn_id
self.region_name = region_name
self.stack_name = stack_name
[docs] def poke(self, context: Context):
stack_status = self.hook.get_stack_status(self.stack_name)
if stack_status in ("DELETE_COMPLETE", None):
return True
if stack_status == "DELETE_IN_PROGRESS":
return False
raise ValueError(f"Stack {self.stack_name} in bad state: {stack_status}")
@cached_property
[docs] def hook(self) -> CloudFormationHook:
"""Create and return a CloudFormationHook"""
return CloudFormationHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)