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create_hub async

create_hub(
    *,
    config_overrides: Optional[AsyncSageMakerClientConfig] = None,
    hub_name: Optional[HubName] = None,
    hub_description: Optional[HubDescription] = None,
    hub_display_name: Optional[HubDisplayName] = None,
    hub_search_keywords: Optional[HubSearchKeywordList] = None,
    s3_storage_config: Optional[HubS3StorageConfig] = None,
    tags: Optional[TagList] = None,
) -> CreateHubResponse

Create a hub.

Parameters:

Raises:

  • ResourceInUse –

    Resource being accessed is in use.

  • ResourceLimitExceeded –

    You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_sagemaker/_services/async_sage_maker.py
async def create_hub(
    self,
    *,
    config_overrides: Optional[AsyncSageMakerClientConfig] = None,
    hub_name: Optional["capo_sagemaker.types.hub_name.HubName"] = None,
    hub_description: Optional[
        "capo_sagemaker.types.hub_description.HubDescription"
    ] = None,
    hub_display_name: Optional[
        "capo_sagemaker.types.hub_display_name.HubDisplayName"
    ] = None,
    hub_search_keywords: Optional[
        "capo_sagemaker.types.hub_search_keyword_list.HubSearchKeywordList"
    ] = None,
    s3_storage_config: Optional[
        "capo_sagemaker.types.hub_s3_storage_config.HubS3StorageConfig"
    ] = None,
    tags: Optional["capo_sagemaker.types.tag_list.TagList"] = None,
) -> "capo_sagemaker.types.create_hub_response.CreateHubResponse":
    """<p>Create a hub.</p>

    Args:
        hub_name: <p>The name of the hub to create.</p>
        hub_description: <p>A description of the hub.</p>
        hub_display_name: <p>The display name of the hub.</p>
        hub_search_keywords: <p>The searchable keywords for the hub.</p>
        s3_storage_config: <p>The Amazon S3 storage configuration for the hub.</p>
        tags: <p>Any tags to associate with the hub.</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.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_sagemaker.types.create_hub_request.CreateHubRequest]",
    ) -> AsyncOperationResponse[
        "capo_sagemaker.types.create_hub_response.CreateHubResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.create_hub

        (
            output,
            http_response,
        ) = await capo_sagemaker._operations.sage_maker.create_hub.async_create_hub(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateHub")
    )
    input_: capo_sagemaker.types.create_hub_request.CreateHubRequest = {}
    if hub_name is not None:
        input_["hub_name"] = hub_name
    if hub_description is not None:
        input_["hub_description"] = hub_description
    if hub_display_name is not None:
        input_["hub_display_name"] = hub_display_name
    if hub_search_keywords is not None:
        input_["hub_search_keywords"] = hub_search_keywords
    if s3_storage_config is not None:
        input_["s3_storage_config"] = s3_storage_config
    if tags is not None:
        input_["tags"] = tags

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output