import_hub_content ¶

def import_hub_content(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    hub_content_name: Optional[
        "capo_sagemaker.types.hub_content_name.HubContentName"
    ] = None,
    hub_content_version: Optional[
        "capo_sagemaker.types.hub_content_version.HubContentVersion"
    ] = None,
    hub_content_type: Optional[
        "capo_sagemaker.types.hub_content_type.HubContentType"
    ] = None,
    document_schema_version: Optional[
        "capo_sagemaker.types.document_schema_version.DocumentSchemaVersion"
    ] = None,
    hub_name: Optional["capo_sagemaker.types.hub_name_or_arn.HubNameOrArn"] = None,
    hub_content_display_name: Optional[
        "capo_sagemaker.types.hub_content_display_name.HubContentDisplayName"
    ] = None,
    hub_content_description: Optional[
        "capo_sagemaker.types.hub_content_description.HubContentDescription"
    ] = None,
    hub_content_markdown: Optional[
        "capo_sagemaker.types.hub_content_markdown.HubContentMarkdown"
    ] = None,
    hub_content_document: Optional[
        "capo_sagemaker.types.hub_content_document.HubContentDocument"
    ] = None,
    support_status: Optional[
        "capo_sagemaker.types.hub_content_support_status.HubContentSupportStatus"
    ] = None,
    hub_content_search_keywords: Optional[
        "capo_sagemaker.types.hub_content_search_keyword_list.HubContentSearchKeywordList"
    ] = None,
    tags: Optional["capo_sagemaker.types.tag_list.TagList"] = None,
) -> "capo_sagemaker.types.import_hub_content_response.ImportHubContentResponse":
    """<p>Import hub content.</p>

    Args:
        hub_content_name: <p>The name of the hub content to import.</p>
        hub_content_version: <p>The version of the hub content to import.</p>
        hub_content_type: <p>The type of hub content to import.</p>
        document_schema_version: <p>The version of the hub content schema to import.</p>
        hub_name: <p>The name of the hub to import content into.</p>
        hub_content_display_name: <p>The display name of the hub content to import.</p>
        hub_content_description: <p>A description of the hub content to import.</p>
        hub_content_markdown: <p>A string that provides a description of the hub content. This string can include links, tables, and standard markdown formating.</p>
        hub_content_document: <p>The hub content document that describes information about the hub content such as type, associated containers, scripts, and more.</p>
        support_status: <p>The status of the hub content resource.</p>
        hub_content_search_keywords: <p>The searchable keywords of the hub content.</p>
        tags: <p>Any tags associated with the hub content.</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.import_hub_content_request.ImportHubContentRequest]",
    ) -> OperationResponse[
        "capo_sagemaker.types.import_hub_content_response.ImportHubContentResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.import_hub_content

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ImportHubContent")
    )
    input_: capo_sagemaker.types.import_hub_content_request.ImportHubContentRequest = {}
    if hub_content_name is not None:
        input_["hub_content_name"] = hub_content_name
    if hub_content_version is not None:
        input_["hub_content_version"] = hub_content_version
    if hub_content_type is not None:
        input_["hub_content_type"] = hub_content_type
    if document_schema_version is not None:
        input_["document_schema_version"] = document_schema_version
    if hub_name is not None:
        input_["hub_name"] = hub_name
    if hub_content_display_name is not None:
        input_["hub_content_display_name"] = hub_content_display_name
    if hub_content_description is not None:
        input_["hub_content_description"] = hub_content_description
    if hub_content_markdown is not None:
        input_["hub_content_markdown"] = hub_content_markdown
    if hub_content_document is not None:
        input_["hub_content_document"] = hub_content_document
    if support_status is not None:
        input_["support_status"] = support_status
    if hub_content_search_keywords is not None:
        input_["hub_content_search_keywords"] = hub_content_search_keywords
    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