/*
* 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;
}
}
}