org.apache.jmeter.visualizers.Graph Maven / Gradle / Ivy
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.
*
*/
package org.apache.jmeter.visualizers;
import java.awt.Color;
import java.awt.Dimension;
import java.awt.Graphics;
import java.awt.Rectangle;
import java.util.Iterator;
import java.util.List;
import javax.swing.JComponent;
import javax.swing.Scrollable;
import javax.swing.SwingUtilities;
import org.apache.jmeter.gui.util.JMeterColor;
import org.apache.jmeter.samplers.Clearable;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* Implements a simple graph for displaying performance results.
*
*/
public class Graph extends JComponent implements Scrollable, Clearable {
private static final long serialVersionUID = 241L;
private static final Logger log = LoggerFactory.getLogger(Graph.class);
private boolean wantData = true;
private boolean wantAverage = true;
private boolean wantDeviation = true;
private boolean wantThroughput = true;
private boolean wantMedian = true;
private CachingStatCalculator model;
private static final int WIDTH = 2000;
private long graphMax = 1;
private double throughputMax = 1;
/**
* Constructor for the Graph object.
*/
public Graph() {
this.setPreferredSize(new Dimension(WIDTH, 100));
}
/**
* Constructor for the Graph object.
* @param model The container for samples and statistics
*/
public Graph(CachingStatCalculator model) {
this();
this.model = model;
}
/**
* Gets the PreferredScrollableViewportSize attribute of the Graph object.
*
* @return the PreferredScrollableViewportSize value
*/
@Override
public Dimension getPreferredScrollableViewportSize() {
return this.getPreferredSize();
}
/**
* Gets the ScrollableUnitIncrement attribute of the Graph object.
*
* @return the ScrollableUnitIncrement value
*/
@Override
public int getScrollableUnitIncrement(Rectangle visibleRect, int orientation, int direction) {
return 5;
}
/**
* Gets the ScrollableBlockIncrement attribute of the Graph object.
*
* @return the ScrollableBlockIncrement value
*/
@Override
public int getScrollableBlockIncrement(Rectangle visibleRect, int orientation, int direction) {
return (int) (visibleRect.width * .9);
}
/**
* Gets the ScrollableTracksViewportWidth attribute of the Graph object.
*
* @return the ScrollableTracksViewportWidth value
*/
@Override
public boolean getScrollableTracksViewportWidth() {
return false;
}
/**
* Gets the ScrollableTracksViewportHeight attribute of the Graph object.
*
* @return the ScrollableTracksViewportHeight value
*/
@Override
public boolean getScrollableTracksViewportHeight() {
return true;
}
/**
* Clears this graph.
*/
@Override
public void clearData() {
graphMax = 1;
throughputMax = 1;
}
public void enableData(boolean value) {
this.wantData = value;
}
public void enableAverage(boolean value) {
this.wantAverage = value;
}
public void enableMedian(boolean value) {
this.wantMedian = value;
}
public void enableDeviation(boolean value) {
this.wantDeviation = value;
}
public void enableThroughput(boolean value) {
this.wantThroughput = value;
}
public void updateGui(final Sample oneSample) {
long h = model.getPercentPoint((float) 0.90).longValue();
boolean repaint = false;
if ((oneSample.getCount() % 20 == 0 || oneSample.getCount() < 20) && h > (graphMax * 1.2) || graphMax > (h * 1.2)) {
if (h >= 1) {
graphMax = h;
} else {
graphMax = 1;
}
repaint = true;
}
if (model.getMaxThroughput() > throughputMax) {
throughputMax = model.getMaxThroughput() * 1.3;
repaint = true;
}
if (repaint) {
repaint();
return;
}
final long xPos = model.getCount();
SwingUtilities.invokeLater(() -> {
Graphics g = getGraphics();
if (g != null) {
drawSample(xPos, oneSample, g);
}
});
}
/** {@inheritDoc}} */
@Override
public void paintComponent(Graphics g) {
super.paintComponent(g);
List samples = model.getSamples();
synchronized (samples ) {
Iterator e = samples.iterator();
for (int i = 0; e.hasNext(); i++) {
Sample s = e.next();
drawSample(i, s, g);
}
}
}
private void drawSample(long x, Sample oneSample, Graphics g) {
int height = getHeight();
log.debug("Drawing a sample at {}", x);
int adjustedWidth = (int)(x % WIDTH); // will always be within range of an int: as must be < width
if (wantData) {
int data = (int) (oneSample.getData() * height / graphMax);
if (oneSample.isSuccess()) {
g.setColor(Color.black);
} else {
g.setColor(Color.YELLOW);
}
g.drawLine(adjustedWidth, height - data, adjustedWidth, height - data - 1);
if (log.isDebugEnabled()) {
log.debug("Drawing coords = {}, {}", adjustedWidth, height - data);
}
}
if (wantAverage) {
int average = (int) (oneSample.getAverage() * height / graphMax);
g.setColor(Color.blue);
g.drawLine(adjustedWidth, height - average, adjustedWidth, height - average - 1);
}
if (wantMedian) {
int median = (int) (oneSample.getMedian() * height / graphMax);
g.setColor(JMeterColor.PURPLE);
g.drawLine(adjustedWidth, height - median, adjustedWidth, height - median - 1);
}
if (wantDeviation) {
int deviation = (int) (oneSample.getDeviation() * height / graphMax);
g.setColor(Color.red);
g.drawLine(adjustedWidth, height - deviation, adjustedWidth, height - deviation - 1);
}
if (wantThroughput) {
int throughput = (int) (oneSample.getThroughput() * height / throughputMax);
g.setColor(JMeterColor.DARK_GREEN);
g.drawLine(adjustedWidth, height - throughput, adjustedWidth, height - throughput - 1);
}
}
/**
* @return Returns the graphMax.
*/
public long getGraphMax() {
return graphMax;
}
}
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