Source code for airflow.providers.amazon.aws.sensors.lambda_function
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from __future__ import annotations
from functools import cached_property
from typing import TYPE_CHECKING, Any, Sequence
from airflow.providers.amazon.aws.hooks.lambda_function import LambdaHook
from airflow.providers.amazon.aws.utils import trim_none_values
if TYPE_CHECKING:
from airflow.utils.context import Context
from airflow.exceptions import AirflowException
from airflow.sensors.base import BaseSensorOperator
[docs]class LambdaFunctionStateSensor(BaseSensorOperator):
"""
Poll the state of the Lambda until it reaches a target state; fails if the query fails.
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:LambdaFunctionStateSensor`
:param function_name: The name of the AWS Lambda function, version, or alias.
:param qualifier: Specify a version or alias to get details about a published version of the function.
:param target_states: The Lambda states desired.
:param aws_conn_id: aws connection to use, defaults to 'aws_default'
"""
[docs] FAILURE_STATES = ("Failed",)
[docs] template_fields: Sequence[str] = (
"function_name",
"qualifier",
)
def __init__(
self,
*,
function_name: str,
qualifier: str | None = None,
target_states: list = ["Active"],
aws_conn_id: str = "aws_default",
**kwargs: Any,
) -> None:
super().__init__(**kwargs)
self.aws_conn_id = aws_conn_id
self.function_name = function_name
self.qualifier = qualifier
self.target_states = target_states
[docs] def poke(self, context: Context) -> bool:
get_function_args = {
"FunctionName": self.function_name,
"Qualifier": self.qualifier,
}
state = self.hook.conn.get_function(**trim_none_values(get_function_args))["Configuration"]["State"]
if state in self.FAILURE_STATES:
raise AirflowException(
"Lambda function state sensor failed because the Lambda is in a failed state"
)
return state in self.target_states
@cached_property
[docs] def hook(self) -> LambdaHook:
return LambdaHook(aws_conn_id=self.aws_conn_id)