Source code for airflow.providers.amazon.aws.sensors.step_function
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from __future__ import annotations
import json
from typing import TYPE_CHECKING, Sequence
from deprecated import deprecated
from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning
from airflow.providers.amazon.aws.hooks.step_function import StepFunctionHook
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
[docs]class StepFunctionExecutionSensor(AwsBaseSensor[StepFunctionHook]):
"""
Poll the Step Function State Machine Execution until it reaches a terminal state; fails if the task fails.
On successful completion of the Execution the Sensor will do an XCom Push
of the State Machine's output to `output`
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:StepFunctionExecutionSensor`
:param execution_arn: execution_arn to check the state of
: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
"""
[docs] FAILURE_STATES = (
"FAILED",
"TIMED_OUT",
"ABORTED",
)
[docs] SUCCESS_STATES = ("SUCCEEDED",)
[docs] aws_hook_class = StepFunctionHook
[docs] template_fields: Sequence[str] = aws_template_fields("execution_arn")
def __init__(self, *, execution_arn: str, **kwargs):
super().__init__(**kwargs)
self.execution_arn = execution_arn
[docs] def poke(self, context: Context):
execution_status = self.hook.describe_execution(self.execution_arn)
state = execution_status["status"]
output = json.loads(execution_status["output"]) if "output" in execution_status else None
if state in self.FAILURE_STATES:
raise AirflowException(f"Step Function sensor failed. State Machine Output: {output}")
if state in self.INTERMEDIATE_STATES:
return False
self.log.info("Doing xcom_push of output")
self.xcom_push(context, "output", output)
return True
@deprecated(reason="use `hook` property instead.", category=AirflowProviderDeprecationWarning)
[docs] def get_hook(self) -> StepFunctionHook:
"""Create and return a StepFunctionHook."""
return self.hook