使用 SDK for Python (Boto3) 的步驟函數範例

import boto3


def hello_stepfunctions(stepfunctions_client):
    """
    Use the AWS SDK for Python (Boto3) to create an AWS Step Functions client and list
    the state machines in your account. This list might be empty if you haven't created
    any state machines.
    This example uses the default settings specified in your shared credentials
    and config files.

    :param stepfunctions_client: A Boto3 Step Functions Client object.
    """
    print("Hello, Step Functions! Let's list up to 10 of your state machines:")
    state_machines = stepfunctions_client.list_state_machines(maxResults=10)
    for sm in state_machines["stateMachines"]:
        print(f"\t{sm['name']}: {sm['stateMachineArn']}")


if __name__ == "__main__":
    hello_stepfunctions(boto3.client("stepfunctions"))

在命令提示中執行互動式案例。

class StateMachineScenario:
    """Runs an interactive scenario that shows how to get started using Step Functions."""

    def __init__(self, activity, state_machine, iam_client):
        """
        :param activity: An object that wraps activity actions.
        :param state_machine: An object that wraps state machine actions.
        :param iam_client: A Boto3 AWS Identity and Access Management (IAM) client.
        """
        self.activity = activity
        self.state_machine = state_machine
        self.iam_client = iam_client
        self.state_machine_role = None

    def prerequisites(self, state_machine_role_name):
        """
        Finds or creates an IAM role that can be assumed by Step Functions.
        A role of this kind is required to create a state machine.
        The state machine used in this example does not call any additional services,
        so it needs no additional permissions.

        :param state_machine_role_name: The name of the role.
        :return: Data about the role.
        """
        trust_policy = {
            "Version": "2012-10-17",
            "Statement": [
                {
                    "Sid": "",
                    "Effect": "Allow",
                    "Principal": {"Service": "states.amazonaws.com"},
                    "Action": "sts:AssumeRole",
                }
            ],
        }
        try:
            role = self.iam_client.get_role(RoleName=state_machine_role_name)
            print(f"Prerequisite IAM role {state_machine_role_name} already exists.")
        except ClientError as err:
            if err.response["Error"]["Code"] == "NoSuchEntity":
                role = None
            else:
                logger.error(
                    "Couldn't get prerequisite IAM role %s. Here's why: %s: %s",
                    state_machine_role_name,
                    err.response["Error"]["Code"],
                    err.response["Error"]["Message"],
                )
                raise
        if role is None:
            try:
                role = self.iam_client.create_role(
                    RoleName=state_machine_role_name,
                    AssumeRolePolicyDocument=json.dumps(trust_policy),
                )
            except ClientError as err:
                logger.error(
                    "Couldn't create prerequisite IAM role %s. Here's why: %s: %s",
                    state_machine_role_name,
                    err.response["Error"]["Code"],
                    err.response["Error"]["Message"],
                )
                raise
        self.state_machine_role = role["Role"]

    def find_or_create_activity(self, activity_name):
        """
        Finds or creates a Step Functions activity.

        :param activity_name: The name of the activity.
        :return: The Amazon Resource Name (ARN) of the activity.
        """
        print("First, let's set up an activity and state machine.")
        activity_arn = self.activity.find(activity_name)
        if activity_arn is None:
            activity_arn = self.activity.create(activity_name)
            print(
                f"Activity {activity_name} created. Its Amazon Resource Name (ARN) is "
                f"{activity_arn}."
            )
        else:
            print(f"Activity {activity_name} already exists.")
        return activity_arn

    def find_or_create_state_machine(
        self, state_machine_name, activity_arn, state_machine_file
    ):
        """
        Finds or creates a Step Functions state machine.

        :param state_machine_name: The name of the state machine.
        :param activity_arn: The ARN of an activity that is used as a step in the state
                             machine. This ARN is injected into the state machine
                             definition that's used to create the state machine.
        :param state_machine_file: The path to a file containing the state machine
                                   definition.
        :return: The ARN of the state machine.
        """
        state_machine_arn = self.state_machine.find(state_machine_name)
        if state_machine_arn is None:
            with open(state_machine_file) as state_machine_file:
                state_machine_def = state_machine_file.read().replace(
                    "{{DOC_EXAMPLE_ACTIVITY_ARN}}", activity_arn
                )
                state_machine_arn = self.state_machine.create(
                    state_machine_name,
                    state_machine_def,
                    self.state_machine_role["Arn"],
                )
            print(f"State machine {state_machine_name} created.")
        else:
            print(f"State machine {state_machine_name} already exists.")
        print("-" * 88)
        print(f"Here's some information about state machine {state_machine_name}:")
        state_machine_info = self.state_machine.describe(state_machine_arn)
        for field in ["name", "status", "stateMachineArn", "roleArn"]:
            print(f"\t{field}: {state_machine_info[field]}")
        return state_machine_arn

    def run_state_machine(self, state_machine_arn, activity_arn):
        """
        Run the state machine. The state machine used in this example is a simple
        chat simulation. It contains an activity step in a loop that is used for user
        interaction. When the state machine gets to the activity step, it waits for
        an external application to get task data and submit a response. This function
        acts as the activity application by getting task input and responding with
        user input.

        :param state_machine_arn: The ARN of the state machine.
        :param activity_arn: The ARN of the activity used as a step in the state machine.
        :return: The ARN of the run.
        """
        print(
            f"Let's run the state machine. It's a simplistic, non-AI chat simulator "
            f"we'll call ChatSFN."
        )
        user_name = q.ask("What should ChatSFN call you? ", q.non_empty)
        run_input = {"name": user_name}
        print("Starting state machine...")
        run_arn = self.state_machine.start(state_machine_arn, json.dumps(run_input))
        action = None
        while action != "done":
            activity_task = self.activity.get_task(activity_arn)
            task_input = json.loads(activity_task["input"])
            print(f"ChatSFN: {task_input['message']}")
            action = task_input["actions"][
                q.choose("What now? ", task_input["actions"])
            ]
            task_response = {"action": action}
            self.activity.send_task_success(
                activity_task["taskToken"], json.dumps(task_response)
            )
        return run_arn

    def finish_state_machine_run(self, run_arn):
        """
        Wait for the state machine run to finish, then print final status and output.

        :param run_arn: The ARN of the run to retrieve.
        """
        print(f"Let's get the final output from the state machine:")
        status = "RUNNING"
        while status == "RUNNING":
            run_output = self.state_machine.describe_run(run_arn)
            status = run_output["status"]
            if status == "RUNNING":
                print(
                    "The state machine is still running, let's wait for it to finish."
                )
                wait(1)
            elif status == "SUCCEEDED":
                print(f"ChatSFN: {json.loads(run_output['output'])['message']}")
            else:
                print(f"Run status: {status}.")

    def cleanup(
        self,
        state_machine_name,
        state_machine_arn,
        activity_name,
        activity_arn,
        state_machine_role_name,
    ):
        """
        Clean up resources created by this example.

        :param state_machine_name: The name of the state machine.
        :param state_machine_arn: The ARN of the state machine.
        :param activity_name: The name of the activity.
        :param activity_arn: The ARN of the activity.
        :param state_machine_role_name: The name of the role used by the state machine.
        """
        if q.ask(
            "Do you want to delete the state machine, activity, and role created for this "
            "example? (y/n) ",
            q.is_yesno,
        ):
            self.state_machine.delete(state_machine_arn)
            print(f"Deleted state machine {state_machine_name}.")
            self.activity.delete(activity_arn)
            print(f"Deleted activity {activity_name}.")
            self.iam_client.delete_role(RoleName=state_machine_role_name)
            print(f"Deleted role {state_machine_role_name}.")

    def run_scenario(self, activity_name, state_machine_name):
        print("-" * 88)
        print("Welcome to the AWS Step Functions state machines demo.")
        print("-" * 88)

        activity_arn = self.find_or_create_activity(activity_name)
        state_machine_arn = self.find_or_create_state_machine(
            state_machine_name,
            activity_arn,
            "../../../resources/sample_files/chat_sfn_state_machine.json",
        )
        print("-" * 88)
        run_arn = self.run_state_machine(state_machine_arn, activity_arn)
        print("-" * 88)
        self.finish_state_machine_run(run_arn)
        print("-" * 88)
        self.cleanup(
            state_machine_name,
            state_machine_arn,
            activity_name,
            activity_arn,
            self.state_machine_role["RoleName"],
        )

        print("-" * 88)
        print("\nThanks for watching!")
        print("-" * 88)


if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")
    try:
        stepfunctions_client = boto3.client("stepfunctions")
        iam_client = boto3.client("iam")
        scenario = StateMachineScenario(
            Activity(stepfunctions_client),
            StateMachine(stepfunctions_client),
            iam_client,
        )
        scenario.prerequisites("doc-example-state-machine-chat")
        scenario.run_scenario("doc-example-activity", "doc-example-state-machine")
    except Exception:
        logging.exception("Something went wrong with the demo.")

定義包裝狀態機器動作的類別。

class StateMachine:
    """Encapsulates Step Functions state machine actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def create(self, name, definition, role_arn):
        """
        Creates a state machine with the specific definition. The state machine assumes
        the provided role before it starts a run.

        :param name: The name to give the state machine.
        :param definition: The Amazon States Language definition of the steps in the
                           the state machine.
        :param role_arn: The Amazon Resource Name (ARN) of the role that is assumed by
                         Step Functions when the state machine is run.
        :return: The ARN of the newly created state machine.
        """
        try:
            response = self.stepfunctions_client.create_state_machine(
                name=name, definition=definition, roleArn=role_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't create state machine %s. Here's why: %s: %s",
                name,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response["stateMachineArn"]


    def find(self, name):
        """
        Find a state machine by name. This requires listing the state machines until
        one is found with a matching name.

        :param name: The name of the state machine to search for.
        :return: The ARN of the state machine if found; otherwise, None.
        """
        try:
            paginator = self.stepfunctions_client.get_paginator("list_state_machines")
            for page in paginator.paginate():
                for state_machine in page.get("stateMachines", []):
                    if state_machine["name"] == name:
                        return state_machine["stateMachineArn"]
        except ClientError as err:
            logger.error(
                "Couldn't list state machines. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise


    def describe(self, state_machine_arn):
        """
        Get data about a state machine.

        :param state_machine_arn: The ARN of the state machine to look up.
        :return: The retrieved state machine data.
        """
        try:
            response = self.stepfunctions_client.describe_state_machine(
                stateMachineArn=state_machine_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't describe state machine %s. Here's why: %s: %s",
                state_machine_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response


    def start(self, state_machine_arn, run_input):
        """
        Start a run of a state machine with a specified input. A run is also known
        as an "execution" in Step Functions.

        :param state_machine_arn: The ARN of the state machine to run.
        :param run_input: The input to the state machine, in JSON format.
        :return: The ARN of the run. This can be used to get information about the run,
                 including its current status and final output.
        """
        try:
            response = self.stepfunctions_client.start_execution(
                stateMachineArn=state_machine_arn, input=run_input
            )
        except ClientError as err:
            logger.error(
                "Couldn't start state machine %s. Here's why: %s: %s",
                state_machine_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response["executionArn"]


    def describe_run(self, run_arn):
        """
        Get data about a state machine run, such as its current status or final output.

        :param run_arn: The ARN of the run to look up.
        :return: The retrieved run data.
        """
        try:
            response = self.stepfunctions_client.describe_execution(
                executionArn=run_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't describe run %s. Here's why: %s: %s",
                run_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response


    def delete(self, state_machine_arn):
        """
        Delete a state machine and all of its run data.

        :param state_machine_arn: The ARN of the state machine to delete.
        """
        try:
            response = self.stepfunctions_client.delete_state_machine(
                stateMachineArn=state_machine_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't delete state machine %s. Here's why: %s: %s",
                state_machine_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response

定義包裝活動動作的類別。

class Activity:
    """Encapsulates Step Function activity actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def create(self, name):
        """
        Create an activity.

        :param name: The name of the activity to create.
        :return: The Amazon Resource Name (ARN) of the newly created activity.
        """
        try:
            response = self.stepfunctions_client.create_activity(name=name)
        except ClientError as err:
            logger.error(
                "Couldn't create activity %s. Here's why: %s: %s",
                name,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response["activityArn"]


    def find(self, name):
        """
        Find an activity by name. This requires listing activities until one is found
        with a matching name.

        :param name: The name of the activity to search for.
        :return: If found, the ARN of the activity; otherwise, None.
        """
        try:
            paginator = self.stepfunctions_client.get_paginator("list_activities")
            for page in paginator.paginate():
                for activity in page.get("activities", []):
                    if activity["name"] == name:
                        return activity["activityArn"]
        except ClientError as err:
            logger.error(
                "Couldn't list activities. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise


    def get_task(self, activity_arn):
        """
        Gets task data for an activity. When a state machine is waiting for the
        specified activity, a response is returned with data from the state machine.
        When a state machine is not waiting, this call blocks for 60 seconds.

        :param activity_arn: The ARN of the activity to get task data for.
        :return: The task data for the activity.
        """
        try:
            response = self.stepfunctions_client.get_activity_task(
                activityArn=activity_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't get a task for activity %s. Here's why: %s: %s",
                activity_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response


    def send_task_success(self, task_token, task_response):
        """
        Sends a success response to a waiting activity step. A state machine with an
        activity step waits for the activity to get task data and then respond with
        either success or failure before it resumes processing.

        :param task_token: The token associated with the task. This is included in the
                           response to the get_activity_task action and must be sent
                           without modification.
        :param task_response: The response data from the activity. This data is
                              received and processed by the state machine.
        """
        try:
            self.stepfunctions_client.send_task_success(
                taskToken=task_token, output=task_response
            )
        except ClientError as err:
            logger.error(
                "Couldn't send task success. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise


    def delete(self, activity_arn):
        """
        Delete an activity.

        :param activity_arn: The ARN of the activity to delete.
        """
        try:
            response = self.stepfunctions_client.delete_activity(
                activityArn=activity_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't delete activity %s. Here's why: %s: %s",
                activity_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response

class Activity:
    """Encapsulates Step Function activity actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def create(self, name):
        """
        Create an activity.

        :param name: The name of the activity to create.
        :return: The Amazon Resource Name (ARN) of the newly created activity.
        """
        try:
            response = self.stepfunctions_client.create_activity(name=name)
        except ClientError as err:
            logger.error(
                "Couldn't create activity %s. Here's why: %s: %s",
                name,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response["activityArn"]

class StateMachine:
    """Encapsulates Step Functions state machine actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def create(self, name, definition, role_arn):
        """
        Creates a state machine with the specific definition. The state machine assumes
        the provided role before it starts a run.

        :param name: The name to give the state machine.
        :param definition: The Amazon States Language definition of the steps in the
                           the state machine.
        :param role_arn: The Amazon Resource Name (ARN) of the role that is assumed by
                         Step Functions when the state machine is run.
        :return: The ARN of the newly created state machine.
        """
        try:
            response = self.stepfunctions_client.create_state_machine(
                name=name, definition=definition, roleArn=role_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't create state machine %s. Here's why: %s: %s",
                name,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response["stateMachineArn"]

class Activity:
    """Encapsulates Step Function activity actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def delete(self, activity_arn):
        """
        Delete an activity.

        :param activity_arn: The ARN of the activity to delete.
        """
        try:
            response = self.stepfunctions_client.delete_activity(
                activityArn=activity_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't delete activity %s. Here's why: %s: %s",
                activity_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response

class StateMachine:
    """Encapsulates Step Functions state machine actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def delete(self, state_machine_arn):
        """
        Delete a state machine and all of its run data.

        :param state_machine_arn: The ARN of the state machine to delete.
        """
        try:
            response = self.stepfunctions_client.delete_state_machine(
                stateMachineArn=state_machine_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't delete state machine %s. Here's why: %s: %s",
                state_machine_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response

    def describe_run(self, run_arn):
        """
        Get data about a state machine run, such as its current status or final output.

        :param run_arn: The ARN of the run to look up.
        :return: The retrieved run data.
        """
        try:
            response = self.stepfunctions_client.describe_execution(
                executionArn=run_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't describe run %s. Here's why: %s: %s",
                run_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response

class StateMachine:
    """Encapsulates Step Functions state machine actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def describe(self, state_machine_arn):
        """
        Get data about a state machine.

        :param state_machine_arn: The ARN of the state machine to look up.
        :return: The retrieved state machine data.
        """
        try:
            response = self.stepfunctions_client.describe_state_machine(
                stateMachineArn=state_machine_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't describe state machine %s. Here's why: %s: %s",
                state_machine_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response

class Activity:
    """Encapsulates Step Function activity actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def get_task(self, activity_arn):
        """
        Gets task data for an activity. When a state machine is waiting for the
        specified activity, a response is returned with data from the state machine.
        When a state machine is not waiting, this call blocks for 60 seconds.

        :param activity_arn: The ARN of the activity to get task data for.
        :return: The task data for the activity.
        """
        try:
            response = self.stepfunctions_client.get_activity_task(
                activityArn=activity_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't get a task for activity %s. Here's why: %s: %s",
                activity_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response

class Activity:
    """Encapsulates Step Function activity actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def find(self, name):
        """
        Find an activity by name. This requires listing activities until one is found
        with a matching name.

        :param name: The name of the activity to search for.
        :return: If found, the ARN of the activity; otherwise, None.
        """
        try:
            paginator = self.stepfunctions_client.get_paginator("list_activities")
            for page in paginator.paginate():
                for activity in page.get("activities", []):
                    if activity["name"] == name:
                        return activity["activityArn"]
        except ClientError as err:
            logger.error(
                "Couldn't list activities. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise

透過搜尋帳戶的狀態機器清單，依名稱尋找狀態機器。

class StateMachine:
    """Encapsulates Step Functions state machine actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def find(self, name):
        """
        Find a state machine by name. This requires listing the state machines until
        one is found with a matching name.

        :param name: The name of the state machine to search for.
        :return: The ARN of the state machine if found; otherwise, None.
        """
        try:
            paginator = self.stepfunctions_client.get_paginator("list_state_machines")
            for page in paginator.paginate():
                for state_machine in page.get("stateMachines", []):
                    if state_machine["name"] == name:
                        return state_machine["stateMachineArn"]
        except ClientError as err:
            logger.error(
                "Couldn't list state machines. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise

class Activity:
    """Encapsulates Step Function activity actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def send_task_success(self, task_token, task_response):
        """
        Sends a success response to a waiting activity step. A state machine with an
        activity step waits for the activity to get task data and then respond with
        either success or failure before it resumes processing.

        :param task_token: The token associated with the task. This is included in the
                           response to the get_activity_task action and must be sent
                           without modification.
        :param task_response: The response data from the activity. This data is
                              received and processed by the state machine.
        """
        try:
            self.stepfunctions_client.send_task_success(
                taskToken=task_token, output=task_response
            )
        except ClientError as err:
            logger.error(
                "Couldn't send task success. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise

class StateMachine:
    """Encapsulates Step Functions state machine actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def start(self, state_machine_arn, run_input):
        """
        Start a run of a state machine with a specified input. A run is also known
        as an "execution" in Step Functions.

        :param state_machine_arn: The ARN of the state machine to run.
        :param run_input: The input to the state machine, in JSON format.
        :return: The ARN of the run. This can be used to get information about the run,
                 including its current status and final output.
        """
        try:
            response = self.stepfunctions_client.start_execution(
                stateMachineArn=state_machine_arn, input=run_input
            )
        except ClientError as err:
            logger.error(
                "Couldn't start state machine %s. Here's why: %s: %s",
                state_machine_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response["executionArn"]

示範如何使用 AWS SDK for Python (Boto3) 搭配 AWS Step Functions 來建立訊息應用程式，從 Amazon DynamoDB 資料表擷取訊息記錄，並使用 Amazon Simple Queue Service (Amazon SQS) 傳送它們。狀態機器會與 AWS Lambda 函數整合，以掃描資料庫是否有未傳送的訊息。

如需完整的原始程式碼和如何設定和執行的指示，請參閱 GitHub 上的完整範例。

Amazon Bedrock Serverless Prompt Chaining 案例示範 AWS Step Functions、Amazon Bedrock 和 如何https://docs.aws.amazon.com/bedrock/latest/userguide/agents.html用於建置和協調複雜、無伺服器和高度可擴展的生成 AI 應用程式。它包含下列工作範例：

如需設定和執行的完整原始程式碼和指示，請參閱 GitHub 上的完整專案。