如何将stepfunctionexecutionId解析为SageMaker批量转换作业名称？

我创建了一个步骤函数，该状态机的定义如下（step-function.json) 在 terraform 中使用（使用本页中的语法：https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTransformJob.html https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTransformJob.html)

如果我第一次执行此状态机，它将创建一个名为的 SageMaker 批量转换作业example-jobname，但是我需要每天执行这个状态机，那么它会给我错误"error": "SageMaker.ResourceInUseException", "cause": "Job name must be unique within an AWS account and region, and a job with this name already exists .

原因是因为作业名称被硬编码为example-jobname因此，如果状态机在第一次之后执行，由于作业名称需要唯一，任务将会失败，只是想知道如何添加一个字符串（例如作业名称末尾的 ExecutionId 之类的字符串）。这是我尝试过的：

1. I added "executionId.$": "States.Format('somestring {}', $$.Execution.Id)" in the Parametersjson 文件中的部分，但是当我执行任务时出现错误 "error": "States.Runtime", "cause": "An error occurred while executing the state 'SageMaker CreateTransformJob' (entered at the event id #2). The Parameters '{\"BatchStrategy\":\"SingleRecord\",..............\"executionId\":\"somestring arn:aws:states:us-east-1:xxxxx:execution:xxxxx-state-machine:xxxxxxxx72950\"}' could not be used to start the Task: [The field \"executionId\" is not supported by Step Functions]"}

2. 我将json文件中的jobname修改为"TransformJobName": "example-jobname-States.Format('somestring {}', $$.Execution.Id)",，当我执行状态机时，它给了我错误："error": "SageMaker.AmazonSageMakerException", "cause": "2 validation errors detected: Value 'example-jobname-States.Format('somestring {}', $$.Execution.Id)' at 'transformJobName' failed to satisfy constraint: Member must satisfy regular expression pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}; Value 'example-jobname-States.Format('somestring {}', $$.Execution.Id)' at 'transformJobName' failed to satisfy constraint: Member must have length less than or equal to 63

我真的没有想法了，有人可以帮忙吗？非常感谢。

所以根据文档 https://docs.aws.amazon.com/step-functions/latest/dg/sample-train-model.html#sample-train-model-code-examples，我们应该按以下格式传递参数

        "Parameters": {
            "ModelName.$": "$$.Execution.Name",  
            ....
        },

如果您仔细查看，您的定义中缺少一些内容，因此您的步骤函数定义应该如下所示：

either

      "TransformJobName.$": "$$.Execution.Id",

OR

      "TransformJobName.$: "States.Format('mytransformjob{}', $$.Execution.Id)"

完整的状态机定义：

    {
        "Comment": "Defines the statemachine.",
        "StartAt": "Generate Random String",
        "States": {
            "Generate Random String": {
                "Type": "Task",
                "Resource": "arn:aws:lambda:eu-central-1:1234567890:function:randomstring",
                "ResultPath": "$.executionid",
                "Parameters": {
                "executionId.$": "$$.Execution.Id"
                },
                "Next": "SageMaker CreateTransformJob"
            },
        "SageMaker CreateTransformJob": {
            "Type": "Task",
            "Resource": "arn:aws:states:::sagemaker:createTransformJob.sync",
            "Parameters": {
            "BatchStrategy": "SingleRecord",
            "DataProcessing": {
                "InputFilter": "$",
                "JoinSource": "Input",
                "OutputFilter": "xxx"
            },
            "Environment": {
                "SAGEMAKER_MODEL_SERVER_TIMEOUT": "300"
            },
            "MaxConcurrentTransforms": 100,
            "MaxPayloadInMB": 1,
            "ModelName": "${model_name}",
            "TransformInput": {
                "DataSource": {
                    "S3DataSource": {
                        "S3DataType": "S3Prefix",
                        "S3Uri": "${s3_input_path}"
                    }
                },
                "ContentType": "application/jsonlines",
                "CompressionType": "Gzip",
                "SplitType": "Line"
            },
            "TransformJobName.$": "$.executionid",
            "TransformOutput": {
                "S3OutputPath": "${s3_output_path}",
                "Accept": "application/jsonlines",
                "AssembleWith": "Line"
            },    
            "TransformResources": {
                "InstanceType": "xxx",
                "InstanceCount": 1
            }
        },
            "End": true
        }
        }
    }

在上面的定义中，lambda 可以是一个解析我通过参数部分传递的执行 id arn 的函数：

 def lambda_handler(event, context):
    return(event.get('executionId').split(':')[-1])

或者，如果您不想通过执行 if ，它可以简单地返回随机字符串，例如

 import string
 def lambda_handler(event, context):
    return(string.ascii_uppercase + string.digits)

您可以生成各种随机字符串，或者在 lambda 中生成任何内容并将其传递给转换作业名称。