source: trunk/CrossPare/src/de/ugoe/cs/cpdp/loader/CSVDataLoader.java @ 3

package de.ugoe.cs.cpdp.loader;

import java.io.File;
import java.io.IOException;
import java.util.ArrayList;

import weka.core.Attribute;
import weka.core.DenseInstance;
import weka.core.Instances;
import de.ugoe.cs.cpdp.loader.AbstractFolderLoader.SingleVersionLoader;
import de.ugoe.cs.util.FileTools;

/**
 * Loads the instances for a software version from a CSV file of the // TODO dataset citation
 * data set. 
 * @author Steffen Herbold
 */
class CSVDataLoader implements SingleVersionLoader {
        
        /**
         * Loads the instances.
         * @param file handle to the file of the instances
         * @return the instances
         */
        @Override
        public Instances load(File file) {
                final String[] lines;
                try {
                        lines = FileTools.getLinesFromFile(file.getAbsolutePath());
                } catch (IOException e) {
                        throw new RuntimeException(e);
                }
                
                // configure Instances
                final ArrayList<Attribute> atts = new ArrayList<Attribute>();
                
                String[] lineSplit = lines[0].split(",");               
                for( int j=0 ; j<lineSplit.length-4 ; j++ ) {
                        atts.add(new Attribute(lineSplit[j+3]));
                }
                final ArrayList<String> classAttVals = new ArrayList<String>();
                classAttVals.add("0");
                classAttVals.add("1");
                final Attribute classAtt = new Attribute("bug", classAttVals);
                atts.add(classAtt);
                
                final Instances data = new Instances(file.getName(), atts, 0);
                data.setClass(classAtt);
                
                // fetch data
                for( int i=1 ; i<lines.length ; i++ ) {
                        lineSplit = lines[i].split(",");
                        double[] values = new double[lineSplit.length-3];
                        for( int j=0 ; j<values.length-1 ; j++ ) {
                                values[j] = Double.parseDouble(lineSplit[j+3].trim());
                        }
                        values[values.length-1] = lineSplit[lineSplit.length-1].trim().equals("0") ? 0 : 1;
                        data.add(new DenseInstance(1.0, values));
                }
                
                return data;
        }
        
        @Override
        public boolean filenameFilter(String filename) {
                return filename.endsWith(".csv");
        }

}