describe_capacity_reservation ¶

def describe_capacity_reservation(
    self,
    *,
    config_overrides: Optional[ElasticLoadBalancingv2ClientConfig] = None,
    load_balancer_arn: Optional[
        "capo_elastic_load_balancing_v2.types.load_balancer_arn.LoadBalancerArn"
    ] = None,
) -> "capo_elastic_load_balancing_v2.types.describe_capacity_reservation_output.DescribeCapacityReservationOutput":
    """<p>Describes the capacity reservation status for the specified load balancer.</p>

    Args:
        load_balancer_arn: <p>The Amazon Resource Name (ARN) of the load balancer.</p>

    Raises:
        capo_elastic_load_balancing_v2.errors.load_balancer_not_found_exception.LoadBalancerNotFoundException: <p>The specified load balancer does not exist.</p>
        capo_elastic_load_balancing_v2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_elastic_load_balancing_v2.types.describe_capacity_reservation_input.DescribeCapacityReservationInput]",
    ) -> OperationResponse[
        "capo_elastic_load_balancing_v2.types.describe_capacity_reservation_output.DescribeCapacityReservationOutput"
    ]:
        import capo_elastic_load_balancing_v2._operations.elastic_load_balancing_v10.describe_capacity_reservation

        output, http_response = (
            capo_elastic_load_balancing_v2._operations.elastic_load_balancing_v10.describe_capacity_reservation.describe_capacity_reservation(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeCapacityReservation")
    )
    input_: capo_elastic_load_balancing_v2.types.describe_capacity_reservation_input.DescribeCapacityReservationInput = {}
    if load_balancer_arn is not None:
        input_["load_balancer_arn"] = load_balancer_arn

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