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list_workload_estimate_usage async

list_workload_estimate_usage(
    workload_estimate_id: ResourceId,
    *,
    config_overrides: Optional[AsyncBCMPricingCalculatorClientConfig] = None,
    filters: Optional[ListUsageFilters] = None,
    next_token: Optional[NextPageToken] = None,
    max_results: Optional[WorkloadEstimateUsageMaxResults] = None,
) -> ListWorkloadEstimateUsageResponse

Lists the usage associated with a workload estimate.

Parameters:

Raises:

Source code in docs_src/capo_bcm_pricing_calculator/_services/async_bcm_pricing_calculator.py
async def list_workload_estimate_usage(
    self,
    workload_estimate_id: "capo_bcm_pricing_calculator.types.resource_id.ResourceId",
    *,
    config_overrides: Optional[AsyncBCMPricingCalculatorClientConfig] = None,
    filters: Optional[
        "capo_bcm_pricing_calculator.types.list_usage_filters.ListUsageFilters"
    ] = None,
    next_token: Optional[
        "capo_bcm_pricing_calculator.types.next_page_token.NextPageToken"
    ] = None,
    max_results: Optional[
        "capo_bcm_pricing_calculator.types.workload_estimate_usage_max_results.WorkloadEstimateUsageMaxResults"
    ] = None,
) -> "capo_bcm_pricing_calculator.types.list_workload_estimate_usage_response.ListWorkloadEstimateUsageResponse":
    """<p> Lists the usage associated with a workload estimate. </p>

    Args:
        workload_estimate_id: <p> The unique identifier of the workload estimate to list usage for. </p>
        filters: <p> Filters to apply to the list of usage items. </p>
        next_token: <p> A token to retrieve the next page of results. </p>
        max_results: <p> The maximum number of results to return per page. </p>

    Raises:
        capo_bcm_pricing_calculator.errors.access_denied_exception.AccessDeniedException: <p> You do not have sufficient access to perform this action. </p>
        capo_bcm_pricing_calculator.errors.internal_server_exception.InternalServerException: <p> An internal error has occurred. Retry your request, but if the problem persists, contact Amazon Web Services support. </p>
        capo_bcm_pricing_calculator.errors.throttling_exception.ThrottlingException: <p> The request was denied due to request throttling. </p>
        capo_bcm_pricing_calculator.errors.validation_exception.ValidationException: <p> The input provided fails to satisfy the constraints specified by an Amazon Web Services service. </p>
        capo_bcm_pricing_calculator.errors.data_unavailable_exception.DataUnavailableException: <p> The requested data is currently unavailable. </p>
        capo_bcm_pricing_calculator.errors.resource_not_found_exception.ResourceNotFoundException: <p> The specified resource was not found. </p>
        capo_bcm_pricing_calculator.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bcm_pricing_calculator.types.list_workload_estimate_usage_request.ListWorkloadEstimateUsageRequest]",
    ) -> AsyncOperationResponse[
        "capo_bcm_pricing_calculator.types.list_workload_estimate_usage_response.ListWorkloadEstimateUsageResponse"
    ]:
        import capo_bcm_pricing_calculator._operations.awsbcm_pricing_calculator.list_workload_estimate_usage

        (
            output,
            http_response,
        ) = await capo_bcm_pricing_calculator._operations.awsbcm_pricing_calculator.list_workload_estimate_usage.async_list_workload_estimate_usage(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListWorkloadEstimateUsage")
    )
    input_: capo_bcm_pricing_calculator.types.list_workload_estimate_usage_request.ListWorkloadEstimateUsageRequest = {
        "workload_estimate_id": workload_estimate_id
    }
    if filters is not None:
        input_["filters"] = filters
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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