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/**
* ============LICENSE_START=======================================================
* org.onap.aai
* ================================================================================
* Copyright © 2017-2018 AT&T Intellectual Property. All rights reserved.
* Copyright © 2017-2018 Amdocs
* ================================================================================
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License 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.
* ============LICENSE_END=========================================================
*/
package org.onap.aai.sparky.analytics;
/**
* A simple class to model a historical counter. A set of values will be tracked and basic
* statistics will be calculated in real time (n, min, max, avg).
*
* @author davea
*/
public class HistoricalCounter {
private double min;
private double max;
private double totalOfSamples;
private long numSamples;
private double value;
private boolean maintainSingleValue;
/**
* Instantiates a new historical counter.
*
* @param trackSingleValue the track single value
*/
public HistoricalCounter(boolean trackSingleValue) {
min = -1;
max = 0;
totalOfSamples = 0;
value = 0.0;
numSamples = 0;
this.maintainSingleValue = trackSingleValue;
}
public boolean isSingleValue() {
return maintainSingleValue;
}
/**
* Update.
*
* @param value the value
*/
public synchronized void update(double value) {
if (value < 0) {
return;
}
if (maintainSingleValue) {
this.value = value;
} else {
if (min == -1) {
min = value;
}
if (value < min) {
min = value;
}
if (value > max) {
max = value;
}
totalOfSamples += value;
numSamples++;
}
}
public double getValue() {
return value;
}
public double getMin() {
return min;
}
public double getMax() {
return max;
}
public long getNumSamples() {
return numSamples;
}
public double getAvg() {
if (numSamples == 0) {
return 0;
}
return (totalOfSamples / numSamples);
}
public void setMin(double min) {
this.min = min;
}
public void setMax(double max) {
this.max = max;
}
public double getTotalOfSamples() {
return totalOfSamples;
}
public void setTotalOfSamples(double totalOfSamples) {
this.totalOfSamples = totalOfSamples;
}
public void setNumSamples(long numSamples) {
this.numSamples = numSamples;
}
public void setMaintainSingleValue(boolean maintainSingleValue) {
this.maintainSingleValue = maintainSingleValue;
}
/**
* Reset.
*/
public synchronized void reset() {
min = -1;
max = 0;
numSamples = 0;
totalOfSamples = 0;
value = 0.0;
}
/* (non-Javadoc)
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder(32);
if (maintainSingleValue) {
sb.append("[ Val=").append(value).append(" ]");
} else {
sb.append("[ NumSamples=").append(numSamples).append(",");
sb.append(" Min=").append(min).append(",");
sb.append(" Max=").append(max).append(",");
sb.append(" Avg=").append(getAvg()).append(" ]");
}
return sb.toString();
}
}
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