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.

    Provide thin wrapper around :external+boto3:py:class:`boto3.client("stepfunctions") <SFN.Client>`.

    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.

        .. seealso::
            - :external+boto3:py:meth:`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:
        """
        Describe a State Machine Execution.

        .. seealso::
            - :external+boto3:py:meth:`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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