batch_describe_model_package ¶

def batch_describe_model_package(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    model_package_arn_list: Optional[
        "capo_sagemaker.types.model_package_arn_list.ModelPackageArnList"
    ] = None,
) -> "capo_sagemaker.types.batch_describe_model_package_output.BatchDescribeModelPackageOutput":
    """<p>This action batch describes a list of versioned model packages</p>

    Args:
        model_package_arn_list: <p>The list of Amazon Resource Name (ARN) of the model package groups.</p>

    Raises:
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_sagemaker.types.batch_describe_model_package_input.BatchDescribeModelPackageInput]",
    ) -> OperationResponse[
        "capo_sagemaker.types.batch_describe_model_package_output.BatchDescribeModelPackageOutput"
    ]:
        import capo_sagemaker._operations.sage_maker.batch_describe_model_package

        output, http_response = (
            capo_sagemaker._operations.sage_maker.batch_describe_model_package.batch_describe_model_package(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("BatchDescribeModelPackage")
    )
    input_: capo_sagemaker.types.batch_describe_model_package_input.BatchDescribeModelPackageInput = {}
    if model_package_arn_list is not None:
        input_["model_package_arn_list"] = model_package_arn_list

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output