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参数目标的类型必须是 aws_cdk.CfnResource; 取而代之的是 aws_cdk.aws_iam.Role

[英]type of argument target must be aws_cdk.CfnResource; got aws_cdk.aws_iam.Role instead

I am trying to deploy sagemaker endpoints using CDK [python] from model artefacts in S3.我正在尝试使用来自 S3 中 model 人工制品的 CDK [python] 部署 sagemaker 端点。

The Sagemaker model requires execution_rol_arn. Sagemaker model 需要 execution_rol_arn。 So I created a role using CDK and passed it as a parameter for the sagemaker model. But It says Role does not exist when creating the model. But if add the dependency on resources by this command sagemaker_model.add_depends_on(model_role) .所以我使用 CDK 创建了一个角色并将其作为参数传递给 sagemaker model。但是它说创建 model 时角色不存在。但是如果通过此命令添加对资源的依赖sagemaker_model.add_depends_on(model_role) It gives me this error.它给了我这个错误。

type of argument target must be aws_cdk.CfnResource; got aws_cdk.aws_iam.Role instead

My cdk code for sagemaker model and Iam role我的 sagemaker model 和 Iam 角色的 cdk 代码

        sagemaker_model = aws_sagemaker.CfnModel(
            self,
            model_name,
            execution_role_arn=model_role.role_arn,
            model_name=model_name,
            primary_container=sagemaker_primary_container_definition,
        )
        model_role = Role(
            self,
            f"{construct_id}_role",
            assumed_by=ServicePrincipal("sagemaker.amazonaws.com"),
        )
        model_role.add_to_policy(PolicyStatement(
            resources=["*"],
            actions= [
                "cloudwatch:PutMetricData",
                "logs:CreateLogStream",
                "logs:PutLogEvents",
                "logs:CreateLogGroup",
                "logs:DescribeLogStreams",
                "s3:GetObject",
                "s3:ListBucket",
                "ecr:GetAuthorizationToken",
                "ecr:BatchCheckLayerAvailability",
                "ecr:GetDownloadUrlForLayer",
                "ecr:BatchGetImage"
            ]
        ))

Things get a bit messy when you move between between the L1 ( CfnModel ) and L2 ( Role ) abstraction levels .当您在 L1 ( CfnModel ) 和 L2 ( Role )抽象级别之间移动时,事情会变得有点混乱。 You need to use the so-called ecape hatch syntax :您需要使用所谓的转义舱口语法

cfnRole = cast(iam.CfnRole, model_role.node.default_child) # cast if using typings

sagemaker_model.add_depends_on(cfnRole)

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