get_compute_node_group ¶

def get_compute_node_group(
    self,
    cluster_identifier: "capo_pcs.types.cluster_identifier.ClusterIdentifier",
    compute_node_group_identifier: "capo_pcs.types.compute_node_group_identifier.ComputeNodeGroupIdentifier",
    *,
    config_overrides: Optional[PCSClientConfig] = None,
) -> "capo_pcs.types.get_compute_node_group_response.GetComputeNodeGroupResponse":
    """<p>Returns detailed information about a compute node group. This API action provides networking information, EC2 instance type, compute node group status, and scheduler (such as Slurm) configuration.</p>

    Args:
        cluster_identifier: <p>The name or ID of the cluster.</p>
        compute_node_group_identifier: <p>The name or ID of the compute node group.</p>

    Raises:
        capo_pcs.errors.access_denied_exception.AccessDeniedException: <p>You don't have permission to perform the action.</p> <p> <u>Examples</u> </p> <ul> <li> <p>The launch template instance profile doesn't pass <code>iam:PassRole</code> verification.</p> </li> <li> <p>There is a mismatch between the account ID and cluster ID.</p> </li> <li> <p>The cluster ID doesn't exist.</p> </li> <li> <p>The EC2 instance isn't present.</p> </li> </ul>
        capo_pcs.errors.conflict_exception.ConflictException: <p>Your request has conflicting operations. This can occur if you're trying to perform more than 1 operation on the same resource at the same time.</p> <p> <u>Examples</u> </p> <ul> <li> <p>A cluster with the same name already exists.</p> </li> <li> <p>A cluster isn't in <code>ACTIVE</code> status.</p> </li> <li> <p>A cluster to delete is in an unstable state. For example, because it still has <code>ACTIVE</code> node groups or queues.</p> </li> <li> <p>A queue already exists in a cluster.</p> </li> </ul>
        capo_pcs.errors.internal_server_exception.InternalServerException: <p>PCS can't process your request right now. Try again later.</p>
        capo_pcs.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource can't be found. The cluster, node group, or queue you're attempting to get, update, list, or delete doesn't exist.</p> <p> <u>Examples</u> </p>
        capo_pcs.errors.throttling_exception.ThrottlingException: <p>Your request exceeded a request rate quota. Check the resource's request rate quota and try again.</p>
        capo_pcs.errors.validation_exception.ValidationException: <p>The request isn't valid.</p> <p> <u>Examples</u> </p> <ul> <li> <p>Your request contains malformed JSON or unsupported characters.</p> </li> <li> <p>The scheduler version isn't supported.</p> </li> <li> <p>There are networking related errors, such as network validation failure.</p> </li> <li> <p>AMI type is <code>CUSTOM</code> and the launch template doesn't define the AMI ID, or the AMI type is AL2 and the launch template defines the AMI.</p> </li> </ul>
        capo_pcs.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_pcs.types.get_compute_node_group_request.GetComputeNodeGroupRequest]",
    ) -> OperationResponse[
        "capo_pcs.types.get_compute_node_group_response.GetComputeNodeGroupResponse"
    ]:
        import capo_pcs._operations.aws_parallel_computing_service.get_compute_node_group

        output, http_response = (
            capo_pcs._operations.aws_parallel_computing_service.get_compute_node_group.get_compute_node_group(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetComputeNodeGroup")
    )
    input_: capo_pcs.types.get_compute_node_group_request.GetComputeNodeGroupRequest = {
        "cluster_identifier": cluster_identifier,
        "compute_node_group_identifier": compute_node_group_identifier,
    }

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