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update_capacity_provider

update_capacity_provider(
    capacity_provider_name: CapacityProviderName,
    *,
    config_overrides: Optional[LambdaClientConfig] = None,
    capacity_provider_scaling_config: Optional[CapacityProviderScalingConfig] = None,
    propagate_tags: Optional[PropagateTags] = None,
    telemetry_config: Optional[CapacityProviderTelemetryConfig] = None,
) -> UpdateCapacityProviderResponse

Updates the configuration of an existing capacity provider.

Parameters:

Raises:

Source code in docs_src/capo_lambda/_services/_lambda.py
def update_capacity_provider(
    self,
    capacity_provider_name: "capo_lambda.types.capacity_provider_name.CapacityProviderName",
    *,
    config_overrides: Optional[LambdaClientConfig] = None,
    capacity_provider_scaling_config: Optional[
        "capo_lambda.types.capacity_provider_scaling_config.CapacityProviderScalingConfig"
    ] = None,
    propagate_tags: Optional[
        "capo_lambda.types.propagate_tags.PropagateTags"
    ] = None,
    telemetry_config: Optional[
        "capo_lambda.types.capacity_provider_telemetry_config.CapacityProviderTelemetryConfig"
    ] = None,
) -> "capo_lambda.types.update_capacity_provider_response.UpdateCapacityProviderResponse":
    """<p>Updates the configuration of an existing capacity provider.</p>

    Args:
        capacity_provider_name: <p>The name of the capacity provider to update.</p>
        capacity_provider_scaling_config: <p>The updated scaling configuration for the capacity provider.</p>
        telemetry_config: <p>The updated telemetry configuration for the capacity provider.</p>

    Raises:
        capo_lambda.errors.invalid_parameter_value_exception.InvalidParameterValueException: <p>One of the parameters in the request is not valid.</p>
        capo_lambda.errors.resource_conflict_exception.ResourceConflictException: <p>The resource already exists, or another operation is in progress.</p>
        capo_lambda.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource specified in the request does not exist.</p>
        capo_lambda.errors.service_exception.ServiceException: <p>The Lambda service encountered an internal error.</p>
        capo_lambda.errors.too_many_requests_exception.TooManyRequestsException: <p>The request throughput limit was exceeded. For more information, see <a href="https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html#api-requests">Lambda quotas</a>.</p>
        capo_lambda.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_lambda.types.update_capacity_provider_request.UpdateCapacityProviderRequest]",
    ) -> OperationResponse[
        "capo_lambda.types.update_capacity_provider_response.UpdateCapacityProviderResponse"
    ]:
        import capo_lambda._operations.aws_gir_api_service.update_capacity_provider

        output, http_response = (
            capo_lambda._operations.aws_gir_api_service.update_capacity_provider.update_capacity_provider(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateCapacityProvider")
    )
    input_: capo_lambda.types.update_capacity_provider_request.UpdateCapacityProviderRequest = {
        "capacity_provider_name": capacity_provider_name
    }
    if capacity_provider_scaling_config is not None:
        input_["capacity_provider_scaling_config"] = (
            capacity_provider_scaling_config
        )
    if propagate_tags is not None:
        input_["propagate_tags"] = propagate_tags
    if telemetry_config is not None:
        input_["telemetry_config"] = telemetry_config

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