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📄 enlargeqqplot.java

📁 一个用于排队系统仿真的开源软件,有非常形象的图象仿真过程!
💻 JAVA
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/**    
 * Copyright (C) 2006, Laboratorio di Valutazione delle Prestazioni - Politecnico di Milano
 
 * This program 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 2 of the License, or
 * (at your option) any later version.
 
 * This program 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, write to the Free Software
 * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
 */
package jmt.engine.jwat.workloadAnalysis.chart;

import java.awt.Color;
import java.awt.Graphics2D;
import java.awt.event.ActionEvent;
import java.awt.event.MouseEvent;
import java.awt.event.MouseListener;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.text.SimpleDateFormat;
import java.util.Date;

import javax.imageio.ImageIO;
import javax.swing.AbstractAction;
import javax.swing.JFileChooser;
import javax.swing.JMenuItem;
import javax.swing.JOptionPane;
import javax.swing.JPopupMenu;

import jmt.engine.jwat.VariableNumber;
import jmt.engine.jwat.workloadAnalysis.chart.EnlargePlotDistGraph.PlotImagesFileChooser;
import jmt.engine.jwat.workloadAnalysis.chart.EnlargePlotDistGraph.PlotImagesFileFilter;
import jmt.engine.jwat.workloadAnalysis.utils.ChangeVariableListener;
import jmt.engine.jwat.workloadAnalysis.utils.ModelWorkloadAnalysis;
import ptolemy.plot.Plot;

public class EnlargeQQPlot extends Plot implements MouseListener {
	// Zoom factor for zoom-in / zoom-out
	public static final double PLOT_ZOOM_FACTOR = 0.5;
	private ModelWorkloadAnalysis model = null;
	private int xvar;
	private int distribution;
	
	private PlotPopup pop = new PlotPopup();
	
	private double[] normale = {-3.10000,-2.32635,-2.05375,-1.88079,-1.75069,-1.64485,-1.55477,-1.47579,-1.40507,-1.34076,
			-1.28155,-1.22653,-1.17499,-1.12639,-1.08032,-1.03643,-0.99446,-0.95417,-0.91537,-0.87790,
			-0.84162,-0.80642,-0.77219,-0.73885,-0.70630,-0.67449,-0.64335,-0.61281,-0.58284,-0.55338,
			-0.52440,-0.49585,-0.46770,-0.43991,-0.41246,-0.38532,-0.35846,-0.33185,-0.30548,-0.27932,
			-0.25335,-0.22754,-0.20189,-0.17637,-0.15097,-0.12566,-0.10043,-0.07527,-0.05015,-0.02507,
			0.00000,0.02507,0.05015,0.07527,0.10043,0.12566,0.15097,0.17637,0.20189,0.22754,
			0.25335,0.27932,0.30548,0.33185,0.35846,0.38532,0.41246,0.43991,0.46770,0.49585,
			0.52440,0.55338,0.58284,0.61281,0.64335,0.67449,0.70630,0.73885,0.77219,0.80642,
			0.84162,0.87790,0.91537,0.95417,0.99446,1.03643,1.08032,1.12639,1.17499,1.22653,
			1.28155,1.34076,1.40507,1.47579,1.55477,1.64485,1.75069,1.88079,2.05375,2.32635,
			3.10000};
	
	public EnlargeQQPlot(ModelWorkloadAnalysis model, int xVar,int distr) {
		xvar = xVar;
		this.model = model;
		this.distribution = distr;
		this.setConnected(false,1);
		this.setMarksStyle("various",1);
		this.setConnected(true,2);
		this.setMarksStyle("point",2);
		this.setColors(new Color[]{Color.RED,Color.BLUE});
		this.model.addOnChangeVariableValue(new ChangeVariableListener() {
			public void onChangeVariableValues() {
				drawGraph();
			}
		});
		this.addMouseListener(this);
		drawGraph();
	}
	
	private void drawGraph(){
		double mean = model.getMatrix().getVariables()[this.xvar].getUniStats().getMean();
		this.clear(true);
		this.setConnected(false,1);
		this.setMarksStyle("various",1);
		this.setConnected(true,2);
		this.setMarksStyle("point",2);
		this.setColors(new Color[]{Color.RED,Color.BLUE});
		if(distribution == SmallQQPlot.NORMAL){
			VariableNumber xvar = model.getMatrix().getVariables()[this.xvar];
			double var = model.getMatrix().getVariables()[this.xvar].getUniStats().getVariance();
			int[] qx = xvar.getUniStats().getQuantili();
			double xRange = xvar.getUniStats().getRangeValue() / 100;
			double yRange = (((normale[normale.length - 1]*var)+mean) - ((normale[0]*var)+mean)) / 100;
			double xMin = xvar.getUniStats().getMinValue();
			setXRange(xvar.getUniStats().getMinValue(),xvar.getUniStats().getMaxValue());
			if(xvar.getType() == VariableNumber.DATE) {
				SimpleDateFormat f = new SimpleDateFormat("dd.MM.yy HH:mm:ss");
				addXTick(f.format(new Date((long)(xMin + xRange/10))),xMin + xRange/10);
				addXTick(f.format(new Date((long)(xMin+(xRange*100)/2))),xMin + (xRange*100)/2);
				addXTick(f.format(new Date((long)(xMin + (xRange*99)))),xMin+(xRange*99));
			}else{
				setXLabel("Quantiles of " + xvar.getName());
			}
			setYRange((normale[0]*var)+mean,(normale[normale.length - 1]*var)+mean);
			setYLabel("Quantiles of normal distribution");
			for(int i = 0; i < qx.length;i++){
				addPoint(1,xvar.getValue(qx[i]),(normale[i]*var)+mean, true);
				addPoint(2,xMin + (xRange * i),((normale[0]*var)+mean) + (yRange * i), true);
			}
		}
		if(distribution == SmallQQPlot.EXPO){
			VariableNumber xvar = model.getMatrix().getVariables()[this.xvar];
			int[] qx = xvar.getUniStats().getQuantili();
			double xRange = xvar.getUniStats().getRangeValue() / 100;
			double yRange = ((-Math.log(0.01)*mean) - (-Math.log(1)*mean)) / 100;
			double xMin = xvar.getUniStats().getMinValue();
			setXRange(xvar.getUniStats().getMinValue(),xvar.getUniStats().getMaxValue());
			if(xvar.getType() == VariableNumber.DATE) {
				SimpleDateFormat f = new SimpleDateFormat("dd.MM.yy HH:mm:ss");
				addXTick(f.format(new Date((long)(xMin + (xRange*100)/10))),xMin + (xRange*100)/10);
				addXTick(f.format(new Date((long)(xMin+(xRange*100)/2))),xMin + (xRange*100)/2);
				addXTick(f.format(new Date((long)(xMin + (xRange*99)))),xMin+(xRange*99));
			}else{
				setXLabel("Quantiles of " + xvar.getName());
			}

			setYRange(-Math.log(1)*mean,-Math.log(0.01)*mean);
			setYLabel("Quantiles of exponential distribution");
			for(int i = 0; i < qx.length;i++){
				addPoint(1,xvar.getValue(qx[i]),-Math.log(1-(0.01*i))*mean, true);
				addPoint(2,xMin + (xRange * i),(yRange * i), true);
			}
		}
		fillPlot();
	}	
	public void mouseClicked(MouseEvent e) {
		if (e.getButton() == MouseEvent.BUTTON3)
			pop.show(EnlargeQQPlot.this, e.getX(), e.getY());
	}
	
	public void mousePressed(MouseEvent e) {
	}
	
	public void mouseReleased(MouseEvent e) {
	}
	
	public void mouseEntered(MouseEvent e) {
	}
	
	public void mouseExited(MouseEvent e) {
	}
	
	protected class PlotPopup extends JPopupMenu {
		public JMenuItem restore;
		public JMenuItem zoomIn;
		public JMenuItem zoomOut;
		public JMenuItem saveAs;
		
		public PlotPopup() {
			restore = new JMenuItem("Original view");
			zoomIn = new JMenuItem("Zoom in");
			zoomOut = new JMenuItem("Zoom out");
			saveAs = new JMenuItem("Save as...");
			
			this.add(restore);
			this.add(zoomIn);
			this.add(zoomOut);
			this.addSeparator();
			this.add(saveAs);
			addListeners();
		}
		
		private void addListeners() {
			restore.addActionListener(new AbstractAction() {
				public void actionPerformed(ActionEvent e) {
					fillPlot();
				}
			});
			
			zoomIn.addActionListener(new AbstractAction() {
				public void actionPerformed(ActionEvent e) {
					// Gets maximum and minimum values
					double[] XBounds = getXAutoRange();
					double[] YBounds = getYAutoRange();
					
					double[] xRange = getXRange();
					double[] yRange = getYRange();
					double width = xRange[1] - xRange[0];
					double height = yRange[1] - yRange[0];
					double newWidth = (xRange[1] - xRange[0])*PLOT_ZOOM_FACTOR;
					double newHeight = (yRange[1] - yRange[0])*PLOT_ZOOM_FACTOR;
					double newXMin = xRange[0] + (width - newWidth)/2;
					//The next 7 lines check that the new range is valid
					if (newXMin < XBounds[0]) newXMin = XBounds[0];
					double newXMax = xRange[0] + (width - newWidth)/2 + newWidth;
					if (newXMax > XBounds[1]) newXMax = XBounds[1];
					double newYMin = yRange[0] + (height - newHeight)/2;
					if (newYMin < YBounds[0]) newYMin = YBounds[0];
					double newYMax = yRange[0] + (height - newHeight)/2 + newHeight;
					if (newYMax > YBounds[1]) newYMax = YBounds[1];
					setXRange(newXMin,newXMax);
					setYRange(newYMin,newYMax);
					EnlargeQQPlot.this.repaint();
				}
			});
			
			zoomOut.addActionListener(new AbstractAction() {
				public void actionPerformed(ActionEvent e) {
					// Gets maximum and minimum values
					double[] XBounds = getXAutoRange();
					double[] YBounds = getYAutoRange();
					
					double[] xRange = getXRange();
					double[] yRange = getYRange();
					double width = xRange[1] - xRange[0];
					double height = yRange[1] - yRange[0];
					double newWidth = (xRange[1] - xRange[0])/PLOT_ZOOM_FACTOR;
					double newHeight = (yRange[1] - yRange[0])/PLOT_ZOOM_FACTOR;
					double newXMin = xRange[0] + (width - newWidth)/2;
					//The next 7 lines check that the new range is valid
					if (newXMin < XBounds[0]) newXMin = XBounds[0];
					double newXMax = xRange[0] + (width - newWidth)/2 + newWidth;
					if (newXMax > XBounds[1]) newXMax = XBounds[1];
					double newYMin = yRange[0] + (height - newHeight)/2;
					if (newYMin < YBounds[0]) newYMin = YBounds[0];
					double newYMax = yRange[0] + (height - newHeight)/2 + newHeight;
					if (newYMax > YBounds[1]) newYMax = YBounds[1];
					setXRange(newXMin,newXMax);
					setYRange(newYMin,newYMax);
					EnlargeQQPlot.this.repaint();
				}
			});
			
			saveAs.addActionListener(new AbstractAction() {
				public void actionPerformed(ActionEvent e) {
					PlotImagesFileFilter PNGfilter = new PlotImagesFileFilter(".png","Portable Network Graphics images");
					PlotImagesFileFilter EPSfilter = new PlotImagesFileFilter(".eps","Encapsulated Post Script images");
					PlotImagesFileChooser fileChooser = new PlotImagesFileChooser(PNGfilter);
					fileChooser.setFileFilter(PNGfilter);
					fileChooser.addChoosableFileFilter(EPSfilter);
					int r = fileChooser.showSaveDialog(EnlargeQQPlot.this);
					if (r == JFileChooser.APPROVE_OPTION) {
						File file = fileChooser.getSelectedFile();
						if (fileChooser.getFileFilter().equals(EPSfilter)) {
							EnlargeQQPlot  plot = EnlargeQQPlot.this;
							try {
								FileOutputStream fileStream = new FileOutputStream(file);
								plot.export(fileStream);
								fileStream.close();
							}
							catch (FileNotFoundException fnf) {
								JOptionPane.showMessageDialog(fileChooser,"File not found","JMT - Error",JOptionPane.ERROR_MESSAGE);
							}
							catch (IOException ioe) {
								JOptionPane.showMessageDialog(fileChooser,"I/O exception","JMT - Error",JOptionPane.ERROR_MESSAGE);
							}
						}
						else {
							EnlargeQQPlot  plot = EnlargeQQPlot.this;
							BufferedImage image = plot.exportImage();
							try{
								BufferedImage originalImage = convertType(image, BufferedImage.TYPE_INT_RGB);
								ImageIO.write(originalImage,"png",file);
								ImageIO.createImageOutputStream(file).close();
							}
							catch (IOException fnf) {
								JOptionPane.showMessageDialog(null,"File not found");
							}
						}
					}
				}
				
			});
		}
		BufferedImage convertType(BufferedImage src, int targetType) {
			if (src.getType() == targetType)
				return src;
			BufferedImage tgt = new BufferedImage(src.getWidth(), src.getHeight(), targetType);
			Graphics2D g = tgt.createGraphics();
			g.drawRenderedImage(src, null);
			g.dispose();
			return tgt;
		}
	}
}

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