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com.loadcoder.load.chart.logic.ResultChartLogic Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (C) 2018 Stefan Vahlgren at 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 removalFilters = new ArrayList();
private boolean dottedMode;
private final Map> originalFromFile;
private Map dottedSeries = null;
private double keepFactorChosen = -1;
private JRadioButtonMenuItem pointsRadioButton;
public double getCurrentKeepFactor() {
if (getKeepFactorChosen() != -1) {
return getKeepFactorChosen();
} else {
return getKeepFactorDefault();
}
}
public JRadioButtonMenuItem getPointsRadioButton() {
return pointsRadioButton;
}
public void setPointsRadioButton(JRadioButtonMenuItem pointsRadioButton) {
this.pointsRadioButton = pointsRadioButton;
}
public double getKeepFactorChosen() {
return keepFactorChosen;
}
double keepFactorDefault = -1;
public double getKeepFactorDefault() {
return keepFactorDefault;
}
// slider
final int minorTickLength;
int defaultIndex;
int sliderCompensation;
public void setKeepFactorChosen(double keepFactorChosen) {
this.keepFactorChosen = keepFactorChosen;
}
public List getRemovalFilters() {
return removalFilters;
}
public void setDottedSeries(Map dottedSeries) {
this.dottedSeries = dottedSeries;
}
public Map getDottedSeries() {
return dottedSeries;
}
public ResultChartLogic(XYSeriesCollectionExtention seriesCollection, XYPlotExtension plot,
XYLineAndShapeRendererExtention renderer, Map seriesVisible, boolean defaultDottedMode,
CommonSeries[] commonSeries, Map customizedColors, boolean locked,
Map existingColors, Result... results) {
super(seriesCollection, plot, renderer, seriesVisible, commonSeries, locked, existingColors);
this.dottedMode = defaultDottedMode;
populateRemovalFilters();
originalFromFile = populateResultLists(results);
originalFromFile.keySet().stream().forEach(key -> addSeriesKey(key));
setFilteredData(generateDataSets(originalFromFile));
int totalAmountOfPoints = 0;
if (keepFactorDefault == -1) {
for (DataSet set : getFilteredData().getDataSets()) {
totalAmountOfPoints = totalAmountOfPoints + set.getPoints().size();
}
keepFactorDefault = ChartUtils.calculateKeepFactor(totalAmountOfPoints, TARGET_AMOUNT_OF_POINTS_DEFAULT);
}
long tickSize = calculateSliderTickSize(getFilteredData());
minorTickLength = (int) tickSize;
calculateSliderValueCompensation(minorTickLength);
defaultIndex = 4;
int minorTickLengthInAmountOfSeconds = getMinorTickLength();
if (minorTickLengthInAmountOfSeconds <= 4) {
defaultIndex = minorTickLengthInAmountOfSeconds - 1;
}
long sampleLength = calculateSampleLengthWith(defaultIndex);
setSampleLengthToUse(sampleLength);
doSafeUpdate();
}
@Override
protected void update(Map> listOfListOfList,
HashSet hashesGettingUpdated) {
seriesCollection.removeAllSeries();
ranges.clear();
earliestX = null;
FilteredData filteredData = getFilteredData();
if (filteredData == null) {
filteredData = generateDataSets(listOfListOfList);
setFilteredData(filteredData);
}
HashSet sampleTimestamps = new HashSet();
Map samplesCommonMap = new HashMap();
List sampleGroupCommonList = new ArrayList();
Map seriesMap = new HashMap();
if (dottedMode) {
if (dottedSeries == null) {
setDottedSeries(createDottedSeries(filteredData.getDataSets()));
}
seriesMap = dottedSeries;
} else {
getSerieses(filteredData.getDataSets(), dottedMode, seriesMap);
}
Map sampleGroups = new HashMap();
createSamplesGroups(seriesMap, sampleGroups);
createCommons();
addAllCommonSeriesToTheChart();
addSerieseToChart(seriesMap);
adjustVisibility(seriesMap);
for (XYSeriesExtension commonSerie : getCommonSeriesMap().values()) {
adjustVisibilityOfSeries(commonSerie);
}
addPoints(filteredData.getDataSets(), sampleGroups, sampleTimestamps);
if (dottedMode) {
if (dottedSeries == null) {
createDottedSeries(filteredData.getDataSets());
} else {
populateChartWithSavedDottedSeries();
}
}
double keepFactor;
if (dottedMode) {
if (keepFactorChosen == -1) {
keepFactor = keepFactorDefault;
} else {
keepFactor = keepFactorChosen;
}
for (DataSet set : filteredData.getDataSets()) {
SampleGroup group = sampleGroups.get(set.getName());
XYSeriesExtension series = group.getSeries();
ChartUtils.populateSeriesWithPoints(set.getPoints(), series, keepFactor);
}
}
updateSeriesWithSamples(hashesGettingUpdated, filteredData.getDataSets(), sampleGroups, sampleTimestamps,
dottedMode);
updateCommonsWithSamples(hashesGettingUpdated, sampleGroups, samplesCommonMap, sampleGroupCommonList);
}
public long calculateSampleLengthWith(int indexOfSlider) {
long newSampleLength = 1000;
if (indexOfSlider != 0) {
long valueOfSlider = indexOfSlider * minorTickLength + sliderCompensation;
newSampleLength = valueOfSlider * 1000;
}
return newSampleLength;
}
public int getDefaultSliderIndex() {
return defaultIndex;
}
public int getsliderCompensation() {
return sliderCompensation;
}
void calculateSliderValueCompensation(int minorTickPacing) {
int sliderCompensation = 0;
if (minorTickPacing == 1)
sliderCompensation = 1;
this.sliderCompensation = sliderCompensation;
}
public void chartSliderAjustment(long newSampleLength) {
long sampleLengthToUse = newSampleLength;
setSampleLengthToUse(sampleLengthToUse);
createHashesAndUpdate(true);
}
public int getMinorTickLength() {
return minorTickLength;
}
protected void doUpdate() {
createHashesAndUpdate(true);
}
public void recreateDottedSeries() {
setFilteredData(null);
setDottedSeries(null);
clearChart();
createCommons();
addAllCommonSeriesToTheChart();
createHashesAndUpdate(false);
}
public void createHashesAndUpdate(boolean updateSamples) {
HashSet hashesGettingUpdated = new HashSet();
long start = System.currentTimeMillis();
update(originalFromFile, hashesGettingUpdated);
long diff = System.currentTimeMillis() - start;
logger.debug("update time: {}", diff);
forceRerender();
}
public void addSerieseToChart(Map seriesMap) {
for (String key : getSeriesKeys()) {
XYSeriesExtension series = seriesMap.get(key);
addSeries(series);
}
}
public void adjustVisibility(Map seriesMap) {
for (String key : getSeriesKeys()) {
XYSeriesExtension series = seriesMap.get(key);
adjustVisibilityOfSeries(series);
}
}
void setCorrectColorsForDottedSerieses(Map dottedSerieses) {
dottedSerieses.entrySet().stream().forEach((entry) -> {
XYSeriesExtension dottedSeries = entry.getValue();
String dataSetName = dottedSeries.getKey();
Paint seriesColor = getSeriesColor(dataSetName);
dottedSeries.setColorInTheChart(seriesColor);
});
}
/**
* takes the list of resultlists and generates a list of DataSets from it along
* with some metadata such as min and max timestamp.
*/
protected FilteredData generateDataSets(Map> src) {
Map> inputToChart = cloneTheOriginalResultList(src);
long[] minmax = Utilities.findMinMaxTimestamp(inputToChart, getSeriesKeys());
long[] minmaxPoints = { 0, minmax[1] - minmax[0] };
List generated = Utilities.convert(inputToChart, minmax[0], true, getSeriesKeys());
for (DataSetUserType type : getRemovalFiltersInUse()) {
type.getDataSetUser().useDataSet(generated);
}
return new FilteredData(generated, minmax, minmaxPoints);
}
public void populateRemovalFilters() {
removalFilters.add(DataSetUserType.PERCENTREMOVALFILTER);
removalFilters.add(DataSetUserType.FAILSREMOVALFILTER);
}
public void useDottedModeValue(boolean dottedMode) {
if (this.dottedMode == dottedMode)
return;
this.dottedMode = dottedMode;
createHashesAndUpdate(false);
}
protected Map> populateResultLists(Result... results) {
Map> listOfListOfTransactionResults = new HashMap>();
for (Result r : results) {
useResult(r, listOfListOfTransactionResults);
}
return listOfListOfTransactionResults;
}
protected void useResult(Result r, Map> listOfListOfTransactionResults) {
Map> transactionExecutionResults = r.getResultLists();
for (String key : transactionExecutionResults.keySet()) {
List listToBeCopiedAndCleared = transactionExecutionResults.get(key);
List newList = listOfListOfTransactionResults.get(key);
if (newList == null) {
newList = new ArrayList();
listOfListOfTransactionResults.put(key, newList);
}
newList.addAll(listToBeCopiedAndCleared);
}
}
public static DataSetUser removeFails() {
DataSetUser percentile = (a) -> {
for (DataSet dataSet : a) {
for (Point p : dataSet.getPoints()) {
if (!p.isStatus())
p.setEnabled(false);
}
}
};
return percentile;
}
public static DataSetUser removePercentile(int percentilToRemove) {
DataSetUser percentile = (a) -> {
for (DataSet dataSet : a) {
dataSet.getPoints().sort((b, c) -> {
long diff = c.getY() - b.getY();
return (int) diff;
});
// 10% highest of 1000: remove 100 of the highest points
double factor = (double) percentilToRemove / 100; // 0.1
// 100 * 0.1 = 100
int index = (int) (dataSet.getPoints().size() * factor);
for (int i = 0; i < index; i++) {
dataSet.getPoints().get(i).setEnabled(false);
}
}
};
return percentile;
}
protected static double amountOfSeriesesFactor(int amountOfThreads) {
double factor = 1 + Math.log(1 + amountOfThreads * 0.1);
return factor;
}
public static int calculateDefaultIndex(long sampleLengthToUse, int minorTickLength) {
int initalSlideValue = (int) (sampleLengthToUse / 1000);
int defaultIndex = initalSlideValue / minorTickLength;
return defaultIndex;
}
static long[][] ticks = new long[][] { { 10 * MINUTE, 1 }, { 30 * MINUTE, 2 }, { 2 * HOUR, 5 }, { 4 * HOUR, 10 },
{ 10 * HOUR, 30 }, { 1 * DAY, 60 }, { 10 * DAY, 600 }, { Long.MAX_VALUE, 3600 } };
public static long calculateSliderTickSize(FilteredData filteredData) {
long[] minmax = filteredData.getMinmax();
long diff = minmax[1] - minmax[0];
for (long[] tick : ticks) {
if (diff < tick[0]) {
return tick[1];
}
}
logger.error("Internal error in class {} when calculating tick size for samplelength slider",
ResultChartLogic.class);
return 3600;
}
public static long calculateSampleLengthDefault(FilteredData filteredData) {
long[] minmax = filteredData.getMinmax();
int amoutOfTransactionTypes = filteredData.getDataSets().size();
return calculateSampleLengthDefault(minmax[0], minmax[1], amoutOfTransactionTypes);
}
public static long calculateSampleLengthDefault(long min, long max, int amountOfTransactionTypes) {
long diff = (max - min); // 3600_000 / 1000 = 3600
if (diff < 0) {
throw new RuntimeException(
"Internal error. The earliest timestamp must be lower than the lastest timestamp");
}
int targetAmountOfSamplesForOneSeries = 1000;
long diffPerSample = diff / targetAmountOfSamplesForOneSeries;
/*
* the more serieses there are, the longer the sampleLength needs to be. There
* are a logaritmic relation between the amount of serieses and the sampleLength
* which means that increasing from 1 to 2 serieses will affect the sampleLength
* more than it will be affected if increasing from 10 to 11 serieses
*/
double amountOfSeriesesFactor = amountOfSeriesesFactor(amountOfTransactionTypes);
long diffPerSampleForAllSeries = (long) (diffPerSample * amountOfSeriesesFactor);
long sampleLengthInSeconds = diffPerSampleForAllSeries / 1000;
long sampleLengthInMillis = sampleLengthInSeconds * 1000;
if (sampleLengthInMillis < 1000)
sampleLengthInMillis = 1000;
return sampleLengthInMillis;
}
public Map> cloneTheOriginalResultList(
Map> original) {
Map> dst = new HashMap>();
for (String key : getSeriesKeys()) {
List list = original.get(key);
ArrayList casted = (ArrayList) list;
ArrayList clone = (ArrayList) casted.clone();
dst.put(key, clone);
}
return dst;
}
public void clearChart() {
commonSeriesCalculators.clear();
seriesCollection.removeAllSeries();
ranges.clear();
earliestX = null;
}
void populateChartWithSavedDottedSeries() {
for (String key : getSeriesKeys()) {
XYSeriesExtension series = dottedSeries.get(key);
int indexOfSeries = seriesCollection.indexOf(series);
Boolean visible = seriesVisible.get(series.getKey());
if (visible == null || visible) {
renderer.setSeriesShapesVisible(indexOfSeries, true);
} else {
renderer.setSeriesShapesVisible(indexOfSeries, false);
}
renderer.setSeriesLinesVisible(indexOfSeries, false);
}
}
Map createDottedSeries(List dataSets) {
Map result = new HashMap();
for (DataSet dataSet : dataSets) {
String dataSetName = dataSet.getName();
Paint seriesColor = getSeriesColor(dataSetName);
XYSeriesExtension serie = new XYDottedSeriesExtension(dataSetName, false,
ALLOW_DUPLICATE_X_VALUES_FOR_POINT_SERIES, seriesColor);
result.put(dataSetName, serie);
}
return result;
}
}
