Source code for airflow.providers.amazon.aws.hooks.step_function

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from __future__ import annotations

import json

from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook


[docs]class StepFunctionHook(AwsBaseHook): """ Interact with an AWS Step Functions State Machine. Additional arguments (such as ``aws_conn_id``) may be specified and are passed down to the underlying AwsBaseHook. .. seealso:: :class:`~airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook` """ def __init__(self, *args, **kwargs) -> None: kwargs["client_type"] = "stepfunctions" super().__init__(*args, **kwargs)
[docs] def start_execution( self, state_machine_arn: str, name: str | None = None, state_machine_input: dict | str | None = None, ) -> str: """ Start Execution of the State Machine. https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/stepfunctions.html#SFN.Client.start_execution :param state_machine_arn: AWS Step Function State Machine ARN :param name: The name of the execution. :param state_machine_input: JSON data input to pass to the State Machine :return: Execution ARN """ execution_args = {"stateMachineArn": state_machine_arn} if name is not None: execution_args["name"] = name if state_machine_input is not None: if isinstance(state_machine_input, str): execution_args["input"] = state_machine_input elif isinstance(state_machine_input, dict): execution_args["input"] = json.dumps(state_machine_input) self.log.info("Executing Step Function State Machine: %s", state_machine_arn) response = self.conn.start_execution(**execution_args) return response.get("executionArn")
[docs] def describe_execution(self, execution_arn: str) -> dict: """ Describes a State Machine Execution https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/stepfunctions.html#SFN.Client.describe_execution :param execution_arn: ARN of the State Machine Execution :return: Dict with Execution details """ return self.get_conn().describe_execution(executionArn=execution_arn)

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