create_hub_content_reference ¶

def create_hub_content_reference(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    hub_name: Optional["capo_sagemaker.types.hub_name_or_arn.HubNameOrArn"] = None,
    sage_maker_public_hub_content_arn: Optional[
        "capo_sagemaker.types.sage_maker_public_hub_content_arn.SageMakerPublicHubContentArn"
    ] = None,
    hub_content_name: Optional[
        "capo_sagemaker.types.hub_content_name.HubContentName"
    ] = None,
    min_version: Optional[
        "capo_sagemaker.types.hub_content_version.HubContentVersion"
    ] = None,
    tags: Optional["capo_sagemaker.types.tag_list.TagList"] = None,
) -> "capo_sagemaker.types.create_hub_content_reference_response.CreateHubContentReferenceResponse":
    """<p>Create a hub content reference in order to add a model in the JumpStart public hub to a private hub.</p>

    Args:
        hub_name: <p>The name of the hub to add the hub content reference to.</p>
        sage_maker_public_hub_content_arn: <p>The ARN of the public hub content to reference.</p>
        hub_content_name: <p>The name of the hub content to reference.</p>
        min_version: <p>The minimum version of the hub content to reference.</p>
        tags: <p>Any tags associated with the hub content to reference.</p>

    Raises:
        capo_sagemaker.errors.resource_in_use.ResourceInUse: <p>Resource being accessed is in use.</p>
        capo_sagemaker.errors.resource_limit_exceeded.ResourceLimitExceeded: <p> You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created. </p>
        capo_sagemaker.errors.resource_not_found.ResourceNotFound: <p>Resource being access is not found.</p>
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_sagemaker.types.create_hub_content_reference_request.CreateHubContentReferenceRequest]",
    ) -> OperationResponse[
        "capo_sagemaker.types.create_hub_content_reference_response.CreateHubContentReferenceResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.create_hub_content_reference

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateHubContentReference")
    )
    input_: capo_sagemaker.types.create_hub_content_reference_request.CreateHubContentReferenceRequest = {}
    if hub_name is not None:
        input_["hub_name"] = hub_name
    if sage_maker_public_hub_content_arn is not None:
        input_["sage_maker_public_hub_content_arn"] = (
            sage_maker_public_hub_content_arn
        )
    if hub_content_name is not None:
        input_["hub_content_name"] = hub_content_name
    if min_version is not None:
        input_["min_version"] = min_version
    if tags is not None:
        input_["tags"] = tags

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