Source code for airflow.providers.amazon.aws.sensors.cloud_formation
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"""This module contains sensors for AWS CloudFormation."""
from __future__ import annotations
from typing import TYPE_CHECKING, Sequence
from airflow.providers.amazon.aws.sensors.base_aws import AwsBaseSensor
from airflow.providers.amazon.aws.utils.mixins import aws_template_fields
if TYPE_CHECKING:
from airflow.utils.context import Context
from airflow.providers.amazon.aws.hooks.cloud_formation import CloudFormationHook
[docs]class CloudFormationCreateStackSensor(AwsBaseSensor[CloudFormationHook]):
"""
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: The Airflow connection used for AWS credentials.
If this is ``None`` or empty then the default boto3 behaviour is used. If
running Airflow in a distributed manner and aws_conn_id is None or
empty, then default boto3 configuration would be used (and must be
maintained on each worker node).
:param region_name: AWS region_name. If not specified then the default boto3 behaviour is used.
:param verify: Whether or not to verify SSL certificates. See:
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html
:param botocore_config: Configuration dictionary (key-values) for botocore client. See:
https://botocore.amazonaws.com/v1/documentation/api/latest/reference/config.html
"""
def __init__(self, *, stack_name, **kwargs):
super().__init__(**kwargs)
self.stack_name = stack_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}")
[docs]class CloudFormationDeleteStackSensor(AwsBaseSensor[CloudFormationHook]):
"""
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: The Airflow connection used for AWS credentials.
If this is ``None`` or empty then the default boto3 behaviour is used. If
running Airflow in a distributed manner and aws_conn_id is None or
empty, then default boto3 configuration would be used (and must be
maintained on each worker node).
:param region_name: AWS region_name. If not specified then the default boto3 behaviour is used.
:param verify: Whether or not to verify SSL certificates. See:
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html
:param botocore_config: Configuration dictionary (key-values) for botocore client. See:
https://botocore.amazonaws.com/v1/documentation/api/latest/reference/config.html
"""
def __init__(
self,
*,
stack_name: str,
aws_conn_id: str | None = "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}")