describe_cluster_scheduler_config async ¶

async def describe_cluster_scheduler_config(
    self,
    *,
    config_overrides: Optional[AsyncSageMakerClientConfig] = None,
    cluster_scheduler_config_id: Optional[
        "capo_sagemaker.types.cluster_scheduler_config_id.ClusterSchedulerConfigId"
    ] = None,
    cluster_scheduler_config_version: Optional[
        "capo_sagemaker.types.integer.Integer"
    ] = None,
) -> "capo_sagemaker.types.describe_cluster_scheduler_config_response.DescribeClusterSchedulerConfigResponse":
    """<p>Description of the cluster policy. This policy is used for task prioritization and fair-share allocation. This helps prioritize critical workloads and distributes idle compute across entities.</p>

    Args:
        cluster_scheduler_config_id: <p>ID of the cluster policy.</p>
        cluster_scheduler_config_version: <p>Version of the cluster policy.</p>

    Raises:
        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.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_sagemaker.types.describe_cluster_scheduler_config_request.DescribeClusterSchedulerConfigRequest]",
    ) -> AsyncOperationResponse[
        "capo_sagemaker.types.describe_cluster_scheduler_config_response.DescribeClusterSchedulerConfigResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.describe_cluster_scheduler_config

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeClusterSchedulerConfig")
    )
    input_: capo_sagemaker.types.describe_cluster_scheduler_config_request.DescribeClusterSchedulerConfigRequest = {}
    if cluster_scheduler_config_id is not None:
        input_["cluster_scheduler_config_id"] = cluster_scheduler_config_id
    if cluster_scheduler_config_version is not None:
        input_["cluster_scheduler_config_version"] = (
            cluster_scheduler_config_version
        )

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