describe_cluster async ¶

async def describe_cluster(
    self,
    *,
    config_overrides: Optional[AsyncEMRClientConfig] = None,
    cluster_id: Optional["capo_emr.types.cluster_id.ClusterId"] = None,
) -> "capo_emr.types.describe_cluster_output.DescribeClusterOutput":
    """<p>Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on.</p>

    Args:
        cluster_id: <p>The identifier of the cluster to describe.</p>

    Raises:
        capo_emr.errors.internal_server_exception.InternalServerException: <p>This exception occurs when there is an internal failure in the Amazon EMR service.</p>
        capo_emr.errors.invalid_request_exception.InvalidRequestException: <p>This exception occurs when there is something wrong with user input.</p>
        capo_emr.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_emr.types.describe_cluster_input.DescribeClusterInput]",
    ) -> AsyncOperationResponse[
        "capo_emr.types.describe_cluster_output.DescribeClusterOutput"
    ]:
        import capo_emr._operations.elastic_map_reduce.describe_cluster

        (
            output,
            http_response,
        ) = await capo_emr._operations.elastic_map_reduce.describe_cluster.async_describe_cluster(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeCluster")
    )
    input_: capo_emr.types.describe_cluster_input.DescribeClusterInput = {}
    if cluster_id is not None:
        input_["cluster_id"] = cluster_id

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