StatisticsTableModel.java

/* Copyright or (C) or Copr. GET / ENST, Telecom-Paris, Ludovic Apvrille
 * 
 * ludovic.apvrille AT enst.fr
 * 
 * This software is a computer program whose purpose is to allow the
 * edition of TURTLE analysis, design and deployment diagrams, to
 * allow the generation of RT-LOTOS or Java code from this diagram,
 * and at last to allow the analysis of formal validation traces
 * obtained from external tools, e.g. RTL from LAAS-CNRS and CADP
 * from INRIA Rhone-Alpes.
 * 
 * This software is governed by the CeCILL  license under French law and
 * abiding by the rules of distribution of free software.  You can  use,
 * modify and/ or redistribute the software under the terms of the CeCILL
 * license as circulated by CEA, CNRS and INRIA at the following URL
 * "http://www.cecill.info".
 * 
 * As a counterpart to the access to the source code and  rights to copy,
 * modify and redistribute granted by the license, users are provided only
 * with a limited warranty  and the software's author,  the holder of the
 * economic rights,  and the successive licensors  have only  limited
 * liability.
 * 
 * In this respect, the user's attention is drawn to the risks associated
 * with loading,  using,  modifying and/or developing or reproducing the
 * software by the user in light of its specific status of free software,
 * that may mean  that it is complicated to manipulate,  and  that  also
 * therefore means  that it is reserved for developers  and  experienced
 * professionals having in-depth computer knowledge. Users are therefore
 * encouraged to load and test the software's suitability as regards their
 * requirements in conditions enabling the security of their systems and/or
 * data to be ensured and,  more generally, to use and operate it in the
 * same conditions as regards security.
 * 
 * The fact that you are presently reading this means that you have had
 * knowledge of the CeCILL license and that you accept its terms.
 */




package ui.window;

import myutil.SteppedAlgorithm;
import graph.AUTGraph;

import graph.AUTTransition;
import javax.swing.table.AbstractTableModel;
import java.io.BufferedReader;
import java.io.StringReader;
import java.util.Collections;
import java.util.Vector;

/**
 * Class StatisticsTableModel
 * Data of an action on a simulation trace
 * Creation: 13/08/2004
 * @version 1.0 13/08/2004
 * @author Ludovic APVRILLE
 */
public class StatisticsTableModel extends AbstractTableModel implements SteppedAlgorithm {
	private Vector<StatisticsItem> statisticData;
	private int percentage;
	private boolean go;

	
	public StatisticsTableModel() {
		statisticData = new Vector<>();
		
	}
	
	public void analyzeData(String data) {
		makeStatisticData(data);
	}
	
	public void analyzeData(AUTGraph graph) {
		makeStatisticData(graph);
	}
	
	public int getPercentage() {
		return percentage;
	}
	
	public void  stopBuildElement() {
		go = false;
	}
	
	public void  setGo() {
		go = true;
	}
	
	

	// From AbstractTableModel
	public int getRowCount() {
		return statisticData.size();
	}

	public int getColumnCount() {
		return 3;
	}

	public Object getValueAt(int row, int column) {
		StatisticsItem si;
		si = statisticData.elementAt(Math.min(row, statisticData.size()));
		if (column == 0) {
			return si.getName();
		} else if (column == 1) {
			return si.getOccurence();
		} else {
			return si.getOriginDestination();
		}
	}

	public String getColumnName(int columnIndex) {
		switch(columnIndex) {
		case 0:
			return "Transition";
		case 1:
			return "Nb";
		case 2:
		default:
			return "(origin, destination)";
		}
	}


	// to build internal data structure -> graph in AUT format
	private void makeStatisticData(String data) {
		StringReader sr = new StringReader(data);
		BufferedReader br = new BufferedReader(sr);
		String s;
		//String s1="", s2="", s3="";
		//String actionName, actionName1;
		//int index, index1, index2;
		StatisticsItem si1;
		String array[];
		
		setGo();

		try {
			while(((s = br.readLine()) != null) && (go)) {
				if (s.startsWith("(")) {
					array = AUTGraph.decodeLine(s);
					si1 = foundStatisticsItem(array[1]);
					//System.out.println("Toto1");
					if (si1 == null) {
						si1 = new StatisticsItem(array[1]);
						statisticData.add(si1);
					}
					//System.out.println("Toto2");
					si1.increaseOccurence();
					si1.addOriginDestination(Integer.decode(array[0]).intValue(), Integer.decode(array[2]).intValue());

				}

			}
		} catch (Exception e) {
			System.out.println("Exception stm0" + e.getMessage());
		}
		Collections.sort(statisticData);
	}

	private void makeStatisticData(AUTGraph graph) {
		String s;
		//String s1="", s2="", s3="";
		//String actionName, actionName1;
		//int index, index1, index2;
		StatisticsItem si1 = null;
		String array[];
		int i;
		int nb = graph.getNbOfTransitions();
		AUTTransition tr;
		
		percentage = 0;
		
		setGo();

		try {
			for(i=0; i<graph.getNbOfTransitions(); i++) {
				
				if (!go) {
					return;
				}
				
				percentage = ((i+1) * 100) / nb;
				//System.out.println("percentage = " + percentage);
				tr = graph.getAUTTransition(i);

				si1 = foundStatisticsItem(tr.transition);
				//System.out.println("Toto1");
				if (si1 == null) {
					si1 = new StatisticsItem(tr.transition);
					statisticData.add(si1);
				}
				//System.out.println("Toto2");
				si1.increaseOccurence();
				si1.addOriginDestination(tr.origin, tr.destination);

			}
		} catch (Exception e) {
			System.out.println("Exception stm1" + e.getMessage());
		}
		Collections.sort(statisticData);
	}

	private StatisticsItem foundStatisticsItem(String name) {
		StatisticsItem si;

		for(int i=0; i<statisticData.size(); i++) {
			//System.out.println("i=" + i);
			si = statisticData.elementAt(i);
			if (si.getName().compareTo(name) == 0) {
				return si;
			}
		}
		return null;
	}
}