com.amazonaws.services.iotsitewise.model.Aggregates Maven / Gradle / Ivy
/*
* Copyright 2016-2021 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.
*/
package com.amazonaws.services.iotsitewise.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* Contains the (pre-calculated) aggregate values for an asset property.
*
*
* @see AWS API
* Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class Aggregates implements Serializable, Cloneable, StructuredPojo {
/**
*
* The average (mean) value of the time series over a time interval window.
*
*/
private Double average;
/**
*
* The count of data points in the time series over a time interval window.
*
*/
private Double count;
/**
*
* The maximum value of the time series over a time interval window.
*
*/
private Double maximum;
/**
*
* The minimum value of the time series over a time interval window.
*
*/
private Double minimum;
/**
*
* The sum of the time series over a time interval window.
*
*/
private Double sum;
/**
*
* The standard deviation of the time series over a time interval window.
*
*/
private Double standardDeviation;
/**
*
* The average (mean) value of the time series over a time interval window.
*
*
* @param average
* The average (mean) value of the time series over a time interval window.
*/
public void setAverage(Double average) {
this.average = average;
}
/**
*
* The average (mean) value of the time series over a time interval window.
*
*
* @return The average (mean) value of the time series over a time interval window.
*/
public Double getAverage() {
return this.average;
}
/**
*
* The average (mean) value of the time series over a time interval window.
*
*
* @param average
* The average (mean) value of the time series over a time interval window.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Aggregates withAverage(Double average) {
setAverage(average);
return this;
}
/**
*
* The count of data points in the time series over a time interval window.
*
*
* @param count
* The count of data points in the time series over a time interval window.
*/
public void setCount(Double count) {
this.count = count;
}
/**
*
* The count of data points in the time series over a time interval window.
*
*
* @return The count of data points in the time series over a time interval window.
*/
public Double getCount() {
return this.count;
}
/**
*
* The count of data points in the time series over a time interval window.
*
*
* @param count
* The count of data points in the time series over a time interval window.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Aggregates withCount(Double count) {
setCount(count);
return this;
}
/**
*
* The maximum value of the time series over a time interval window.
*
*
* @param maximum
* The maximum value of the time series over a time interval window.
*/
public void setMaximum(Double maximum) {
this.maximum = maximum;
}
/**
*
* The maximum value of the time series over a time interval window.
*
*
* @return The maximum value of the time series over a time interval window.
*/
public Double getMaximum() {
return this.maximum;
}
/**
*
* The maximum value of the time series over a time interval window.
*
*
* @param maximum
* The maximum value of the time series over a time interval window.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Aggregates withMaximum(Double maximum) {
setMaximum(maximum);
return this;
}
/**
*
* The minimum value of the time series over a time interval window.
*
*
* @param minimum
* The minimum value of the time series over a time interval window.
*/
public void setMinimum(Double minimum) {
this.minimum = minimum;
}
/**
*
* The minimum value of the time series over a time interval window.
*
*
* @return The minimum value of the time series over a time interval window.
*/
public Double getMinimum() {
return this.minimum;
}
/**
*
* The minimum value of the time series over a time interval window.
*
*
* @param minimum
* The minimum value of the time series over a time interval window.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Aggregates withMinimum(Double minimum) {
setMinimum(minimum);
return this;
}
/**
*
* The sum of the time series over a time interval window.
*
*
* @param sum
* The sum of the time series over a time interval window.
*/
public void setSum(Double sum) {
this.sum = sum;
}
/**
*
* The sum of the time series over a time interval window.
*
*
* @return The sum of the time series over a time interval window.
*/
public Double getSum() {
return this.sum;
}
/**
*
* The sum of the time series over a time interval window.
*
*
* @param sum
* The sum of the time series over a time interval window.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Aggregates withSum(Double sum) {
setSum(sum);
return this;
}
/**
*
* The standard deviation of the time series over a time interval window.
*
*
* @param standardDeviation
* The standard deviation of the time series over a time interval window.
*/
public void setStandardDeviation(Double standardDeviation) {
this.standardDeviation = standardDeviation;
}
/**
*
* The standard deviation of the time series over a time interval window.
*
*
* @return The standard deviation of the time series over a time interval window.
*/
public Double getStandardDeviation() {
return this.standardDeviation;
}
/**
*
* The standard deviation of the time series over a time interval window.
*
*
* @param standardDeviation
* The standard deviation of the time series over a time interval window.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Aggregates withStandardDeviation(Double standardDeviation) {
setStandardDeviation(standardDeviation);
return this;
}
/**
* Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be
* redacted from this string using a placeholder value.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getAverage() != null)
sb.append("Average: ").append(getAverage()).append(",");
if (getCount() != null)
sb.append("Count: ").append(getCount()).append(",");
if (getMaximum() != null)
sb.append("Maximum: ").append(getMaximum()).append(",");
if (getMinimum() != null)
sb.append("Minimum: ").append(getMinimum()).append(",");
if (getSum() != null)
sb.append("Sum: ").append(getSum()).append(",");
if (getStandardDeviation() != null)
sb.append("StandardDeviation: ").append(getStandardDeviation());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof Aggregates == false)
return false;
Aggregates other = (Aggregates) obj;
if (other.getAverage() == null ^ this.getAverage() == null)
return false;
if (other.getAverage() != null && other.getAverage().equals(this.getAverage()) == false)
return false;
if (other.getCount() == null ^ this.getCount() == null)
return false;
if (other.getCount() != null && other.getCount().equals(this.getCount()) == false)
return false;
if (other.getMaximum() == null ^ this.getMaximum() == null)
return false;
if (other.getMaximum() != null && other.getMaximum().equals(this.getMaximum()) == false)
return false;
if (other.getMinimum() == null ^ this.getMinimum() == null)
return false;
if (other.getMinimum() != null && other.getMinimum().equals(this.getMinimum()) == false)
return false;
if (other.getSum() == null ^ this.getSum() == null)
return false;
if (other.getSum() != null && other.getSum().equals(this.getSum()) == false)
return false;
if (other.getStandardDeviation() == null ^ this.getStandardDeviation() == null)
return false;
if (other.getStandardDeviation() != null && other.getStandardDeviation().equals(this.getStandardDeviation()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getAverage() == null) ? 0 : getAverage().hashCode());
hashCode = prime * hashCode + ((getCount() == null) ? 0 : getCount().hashCode());
hashCode = prime * hashCode + ((getMaximum() == null) ? 0 : getMaximum().hashCode());
hashCode = prime * hashCode + ((getMinimum() == null) ? 0 : getMinimum().hashCode());
hashCode = prime * hashCode + ((getSum() == null) ? 0 : getSum().hashCode());
hashCode = prime * hashCode + ((getStandardDeviation() == null) ? 0 : getStandardDeviation().hashCode());
return hashCode;
}
@Override
public Aggregates clone() {
try {
return (Aggregates) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.iotsitewise.model.transform.AggregatesMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}