/* * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). * You may not use this file except in compliance with the License. * A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed * on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either * express or implied. See the License for the specific language governing * permissions and limitations under the License. */ /* * Do not modify this file. This file is generated from the monitoring-2010-08-01.normal.json service model. */ using System; using System.Collections.Generic; using System.Xml.Serialization; using System.Text; using System.IO; using System.Net; using Amazon.Runtime; using Amazon.Runtime.Internal; namespace Amazon.CloudWatch.Model { /// /// Container for the parameters to the PutAnomalyDetector operation. /// Creates an anomaly detection model for a CloudWatch metric. You can use the model /// to display a band of expected normal values when the metric is graphed. /// /// /// /// For more information, see CloudWatch /// Anomaly Detection. /// /// public partial class PutAnomalyDetectorRequest : AmazonCloudWatchRequest { private AnomalyDetectorConfiguration _configuration; private List _dimensions = new List(); private MetricMathAnomalyDetector _metricMathAnomalyDetector; private string _metricName; private string _awsNamespace; private SingleMetricAnomalyDetector _singleMetricAnomalyDetector; private string _stat; /// /// Gets and sets the property Configuration. /// /// The configuration specifies details about how the anomaly detection model is to be /// trained, including time ranges to exclude when training and updating the model. You /// can specify as many as 10 time ranges. /// /// /// /// The configuration can also include the time zone to use for the metric. /// /// public AnomalyDetectorConfiguration Configuration { get { return this._configuration; } set { this._configuration = value; } } // Check to see if Configuration property is set internal bool IsSetConfiguration() { return this._configuration != null; } /// /// Gets and sets the property Dimensions. /// /// The metric dimensions to create the anomaly detection model for. /// /// [Obsolete("Use SingleMetricAnomalyDetector.")] [AWSProperty(Max=30)] public List Dimensions { get { return this._dimensions; } set { this._dimensions = value; } } // Check to see if Dimensions property is set internal bool IsSetDimensions() { return this._dimensions != null && this._dimensions.Count > 0; } /// /// Gets and sets the property MetricMathAnomalyDetector. /// /// The metric math anomaly detector to be created. /// /// /// /// When using MetricMathAnomalyDetector, you cannot include the following /// parameters in the same operation: /// ///
  • /// /// Dimensions /// ///
  • /// /// MetricName /// ///
  • /// /// Namespace /// ///
  • /// /// Stat /// ///
  • /// /// the SingleMetricAnomalyDetector parameters of PutAnomalyDetectorInput /// /// ///
/// /// Instead, specify the metric math anomaly detector attributes as part of the property /// MetricMathAnomalyDetector. /// ///
public MetricMathAnomalyDetector MetricMathAnomalyDetector { get { return this._metricMathAnomalyDetector; } set { this._metricMathAnomalyDetector = value; } } // Check to see if MetricMathAnomalyDetector property is set internal bool IsSetMetricMathAnomalyDetector() { return this._metricMathAnomalyDetector != null; } /// /// Gets and sets the property MetricName. /// /// The name of the metric to create the anomaly detection model for. /// /// [Obsolete("Use SingleMetricAnomalyDetector.")] [AWSProperty(Min=1, Max=255)] public string MetricName { get { return this._metricName; } set { this._metricName = value; } } // Check to see if MetricName property is set internal bool IsSetMetricName() { return this._metricName != null; } /// /// Gets and sets the property Namespace. /// /// The namespace of the metric to create the anomaly detection model for. /// /// [Obsolete("Use SingleMetricAnomalyDetector.")] [AWSProperty(Min=1, Max=255)] public string Namespace { get { return this._awsNamespace; } set { this._awsNamespace = value; } } // Check to see if Namespace property is set internal bool IsSetNamespace() { return this._awsNamespace != null; } /// /// Gets and sets the property SingleMetricAnomalyDetector. /// /// A single metric anomaly detector to be created. /// /// /// /// When using SingleMetricAnomalyDetector, you cannot include the following /// parameters in the same operation: /// ///
  • /// /// Dimensions /// ///
  • /// /// MetricName /// ///
  • /// /// Namespace /// ///
  • /// /// Stat /// ///
  • /// /// the MetricMatchAnomalyDetector parameters of PutAnomalyDetectorInput /// /// ///
/// /// Instead, specify the single metric anomaly detector attributes as part of the property /// SingleMetricAnomalyDetector. /// ///
public SingleMetricAnomalyDetector SingleMetricAnomalyDetector { get { return this._singleMetricAnomalyDetector; } set { this._singleMetricAnomalyDetector = value; } } // Check to see if SingleMetricAnomalyDetector property is set internal bool IsSetSingleMetricAnomalyDetector() { return this._singleMetricAnomalyDetector != null; } /// /// Gets and sets the property Stat. /// /// The statistic to use for the metric and the anomaly detection model. /// /// [Obsolete("Use SingleMetricAnomalyDetector.")] [AWSProperty(Max=50)] public string Stat { get { return this._stat; } set { this._stat = value; } } // Check to see if Stat property is set internal bool IsSetStat() { return this._stat != null; } } }