batch_create_workload_estimate_usage ¶

def batch_create_workload_estimate_usage(
    self,
    workload_estimate_id: "capo_bcm_pricing_calculator.types.resource_id.ResourceId",
    usage: "capo_bcm_pricing_calculator.types.batch_create_workload_estimate_usage_entries.BatchCreateWorkloadEstimateUsageEntries",
    *,
    config_overrides: Optional[BCMPricingCalculatorClientConfig] = None,
    client_token: Optional[
        "capo_bcm_pricing_calculator.types.client_token.ClientToken"
    ] = None,
) -> "capo_bcm_pricing_calculator.types.batch_create_workload_estimate_usage_response.BatchCreateWorkloadEstimateUsageResponse":
    """<p> Create Amazon Web Services service usage that you want to model in a Workload Estimate. </p> <note> <p>The <code>BatchCreateWorkloadEstimateUsage</code> operation doesn't have its own IAM permission. To authorize this operation for Amazon Web Services principals, include the permission <code>bcm-pricing-calculator:CreateWorkloadEstimateUsage</code> in your policies.</p> </note>

    Args:
        workload_estimate_id: <p> The ID of the Workload estimate for which you want to create the modeled usage. </p>
        usage: <p> List of usage that you want to model in the Workload estimate. </p>
        client_token: <p> A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. </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.conflict_exception.ConflictException: <p> The request could not be processed because of conflict in the current state of the resource. </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.service_quota_exceeded_exception.ServiceQuotaExceededException: <p> The request would cause you to exceed your service quota. </p>
        capo_bcm_pricing_calculator.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bcm_pricing_calculator.types.batch_create_workload_estimate_usage_request.BatchCreateWorkloadEstimateUsageRequest]",
    ) -> OperationResponse[
        "capo_bcm_pricing_calculator.types.batch_create_workload_estimate_usage_response.BatchCreateWorkloadEstimateUsageResponse"
    ]:
        import capo_bcm_pricing_calculator._operations.awsbcm_pricing_calculator.batch_create_workload_estimate_usage

        output, http_response = (
            capo_bcm_pricing_calculator._operations.awsbcm_pricing_calculator.batch_create_workload_estimate_usage.batch_create_workload_estimate_usage(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("BatchCreateWorkloadEstimateUsage")
    )
    input_: capo_bcm_pricing_calculator.types.batch_create_workload_estimate_usage_request.BatchCreateWorkloadEstimateUsageRequest = {
        "workload_estimate_id": workload_estimate_id,
        "usage": usage,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

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