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This project contains the chart feature of Loadcoder
/*******************************************************************************
* Copyright (C) 2018 Team Loadcoder
*
* This file is part of Loadcoder.
*
* Loadcoder is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Loadcoder is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
******************************************************************************/
package com.loadcoder.load.chart.common;
import java.util.HashSet;
import java.util.Set;
import com.loadcoder.load.chart.sampling.Sample;
import com.loadcoder.load.chart.sampling.SampleGroup;
public class CommonYCalculators {
public static final CommonYCalculator THROUGHPUT = (keys, timestamp, sampleGroups, sampleLength) -> {
double amount = 0;
for(String key : keys){
SampleGroup group = sampleGroups.get(key);
Sample s = group.getExistingSample(timestamp, sampleLength);
/*
* it is likely that the sample doesn't exist for some of the
* series. Then just continue with next one
*/
amount += s == null ? 0 : s.getAmountOfPoints();
}
double pointsPerSecond = amount / (sampleLength / 1000);
return pointsPerSecond;
};
public static final CommonYCalculator FAILS = (keys, timestamp, sampleGroups, sampleLength) -> {
double amount = 0;
for(String key : keys){
SampleGroup group = sampleGroups.get(key);
Sample s = group.getExistingSample(timestamp, sampleLength);
/*
* it is likely that the sample doesn't exist for some of the
* series. Then just continue with next one
*/
if (s == null)
continue;
int amountOfPoints = s.getAmountOfFails();
amount += amountOfPoints;
}
//20 fails over 10 sec: 20 / (10_000 / 1000) = 20 / 10 = 2
//3 fails over 2 sec: 3 / (3000 / 1000) = 3 / 2 = 1.5
amount = amount / (sampleLength / 1000);
return amount;
};
}