update_anomaly_monitor ¶

def update_anomaly_monitor(
    self,
    monitor_arn: "capo_cost_explorer.types.generic_string.GenericString",
    *,
    config_overrides: Optional[CostExplorerClientConfig] = None,
    monitor_name: Optional[
        "capo_cost_explorer.types.generic_string.GenericString"
    ] = None,
) -> "capo_cost_explorer.types.update_anomaly_monitor_response.UpdateAnomalyMonitorResponse":
    """<p>Updates an existing cost anomaly monitor. The changes made are applied going forward, and doesn't change anomalies detected in the past. </p>

    Args:
        monitor_arn: <p>Cost anomaly monitor Amazon Resource Names (ARNs). </p>
        monitor_name: <p>The new name for the cost anomaly monitor. </p>

    Raises:
        capo_cost_explorer.errors.limit_exceeded_exception.LimitExceededException: <p>You made too many calls in a short period of time. Try again later.</p>
        capo_cost_explorer.errors.unknown_monitor_exception.UnknownMonitorException: <p>The cost anomaly monitor does not exist for the account. </p>
        capo_cost_explorer.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_cost_explorer.types.update_anomaly_monitor_request.UpdateAnomalyMonitorRequest]",
    ) -> OperationResponse[
        "capo_cost_explorer.types.update_anomaly_monitor_response.UpdateAnomalyMonitorResponse"
    ]:
        import capo_cost_explorer._operations.aws_insights_index_service.update_anomaly_monitor

        output, http_response = (
            capo_cost_explorer._operations.aws_insights_index_service.update_anomaly_monitor.update_anomaly_monitor(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateAnomalyMonitor")
    )
    input_: capo_cost_explorer.types.update_anomaly_monitor_request.UpdateAnomalyMonitorRequest = {
        "monitor_arn": monitor_arn
    }
    if monitor_name is not None:
        input_["monitor_name"] = monitor_name

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