delete_anomaly_detector ¶

def delete_anomaly_detector(
    self,
    *,
    config_overrides: Optional[CloudWatchClientConfig] = None,
    anomaly_detector_id: Optional[
        "capo_cloudwatch.types.anomaly_detector_id.AnomalyDetectorId"
    ] = None,
    namespace: Optional["capo_cloudwatch.types.namespace.Namespace"] = None,
    metric_name: Optional["capo_cloudwatch.types.metric_name.MetricName"] = None,
    dimensions: Optional["capo_cloudwatch.types.dimensions.Dimensions"] = None,
    stat: Optional[
        "capo_cloudwatch.types.anomaly_detector_metric_stat.AnomalyDetectorMetricStat"
    ] = None,
    single_metric_anomaly_detector: Optional[
        "capo_cloudwatch.types.single_metric_anomaly_detector.SingleMetricAnomalyDetector"
    ] = None,
    metric_math_anomaly_detector: Optional[
        "capo_cloudwatch.types.metric_math_anomaly_detector.MetricMathAnomalyDetector"
    ] = None,
) -> "capo_cloudwatch.types.delete_anomaly_detector_output.DeleteAnomalyDetectorOutput":
    """<p> Deletes the specified anomaly detection model from your account. For more information about how to delete an anomaly detection model, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/Create_Anomaly_Detection_Alarm.html#Delete_Anomaly_Detection_Model">Deleting an anomaly detection model</a> in the <i>CloudWatch User Guide</i>. </p>

    Args:
        anomaly_detector_id: <p>Specifies the unique identifier of the anomaly detector to delete. If you specify this parameter, you do not need to specify a metric to identify the detector.</p>
        namespace: <p>The namespace associated with the anomaly detection model to delete.</p>
        metric_name: <p>The metric name associated with the anomaly detection model to delete.</p>
        dimensions: <p>The metric dimensions associated with the anomaly detection model to delete.</p>
        stat: <p>The statistic associated with the anomaly detection model to delete.</p>
        single_metric_anomaly_detector: <p>A single metric anomaly detector to be deleted.</p> <p>When using <code>SingleMetricAnomalyDetector</code>, you cannot include the following parameters in the same operation:</p> <ul> <li> <p> <code>Dimensions</code>,</p> </li> <li> <p> <code>MetricName</code> </p> </li> <li> <p> <code>Namespace</code> </p> </li> <li> <p> <code>Stat</code> </p> </li> <li> <p>the <code>MetricMathAnomalyDetector</code> parameters of <code>DeleteAnomalyDetectorInput</code> </p> </li> </ul> <p>Instead, specify the single metric anomaly detector attributes as part of the <code>SingleMetricAnomalyDetector</code> property.</p>
        metric_math_anomaly_detector: <p>The metric math anomaly detector to be deleted.</p> <p>When using <code>MetricMathAnomalyDetector</code>, you cannot include following parameters in the same operation:</p> <ul> <li> <p> <code>Dimensions</code>,</p> </li> <li> <p> <code>MetricName</code> </p> </li> <li> <p> <code>Namespace</code> </p> </li> <li> <p> <code>Stat</code> </p> </li> <li> <p>the <code>SingleMetricAnomalyDetector</code> parameters of <code>DeleteAnomalyDetectorInput</code> </p> </li> </ul> <p>Instead, specify the metric math anomaly detector attributes as part of the <code>MetricMathAnomalyDetector</code> property.</p>

    Raises:
        capo_cloudwatch.errors.internal_service_fault.InternalServiceFault: <p>Request processing has failed due to some unknown error, exception, or failure.</p>
        capo_cloudwatch.errors.invalid_parameter_combination_exception.InvalidParameterCombinationException: <p>Parameters were used together that cannot be used together.</p>
        capo_cloudwatch.errors.invalid_parameter_value_exception.InvalidParameterValueException: <p>The value of an input parameter is bad or out-of-range.</p>
        capo_cloudwatch.errors.missing_required_parameter_exception.MissingRequiredParameterException: <p>An input parameter that is required is missing.</p>
        capo_cloudwatch.errors.resource_not_found_exception.ResourceNotFoundException: <p>The named resource does not exist.</p>
        capo_cloudwatch.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_cloudwatch.types.delete_anomaly_detector_input.DeleteAnomalyDetectorInput]",
    ) -> OperationResponse[
        "capo_cloudwatch.types.delete_anomaly_detector_output.DeleteAnomalyDetectorOutput"
    ]:
        import capo_cloudwatch._operations.granite_service_version20100801.delete_anomaly_detector

        output, http_response = (
            capo_cloudwatch._operations.granite_service_version20100801.delete_anomaly_detector.delete_anomaly_detector(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteAnomalyDetector")
    )
    input_: capo_cloudwatch.types.delete_anomaly_detector_input.DeleteAnomalyDetectorInput = {}
    if anomaly_detector_id is not None:
        input_["anomaly_detector_id"] = anomaly_detector_id
    if namespace is not None:
        input_["namespace"] = namespace
    if metric_name is not None:
        input_["metric_name"] = metric_name
    if dimensions is not None:
        input_["dimensions"] = dimensions
    if stat is not None:
        input_["stat"] = stat
    if single_metric_anomaly_detector is not None:
        input_["single_metric_anomaly_detector"] = single_metric_anomaly_detector
    if metric_math_anomaly_detector is not None:
        input_["metric_math_anomaly_detector"] = metric_math_anomaly_detector

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