source: trunk/EventBenchConsole/src/de/ugoe/cs/eventbench/commands/CMDgenerateGreedy.java @ 293

package de.ugoe.cs.eventbench.commands;

import java.security.InvalidParameterException;
import java.util.ArrayList;
import java.util.LinkedHashSet;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Set;

import de.ugoe.cs.eventbench.CommandHelpers;
import de.ugoe.cs.eventbench.coverage.CoverageCalculatorProcess;
import de.ugoe.cs.eventbench.coverage.SequenceTools;
import de.ugoe.cs.eventbench.data.Event;
import de.ugoe.cs.eventbench.data.GlobalDataContainer;
import de.ugoe.cs.eventbench.models.IStochasticProcess;
import de.ugoe.cs.util.ArrayTools;
import de.ugoe.cs.util.console.Command;
import de.ugoe.cs.util.console.Console;

/**
 * <p>
 * Command to generate test suite with a greedy strategy to achieve a desired coverage.
 * </p>
 * @author Steffen Herbold
 * @version 1.0
 */
public class CMDgenerateGreedy implements Command {
        
        final double eps = 0.000000000001;

        @Override
        public void run(List<Object> parameters) {
                String modelname;
                String sequencesName;
                int minLength;
                int maxLength;
                int coverageDepth;
                float desiredCoverage;
                try {
                        modelname = (String) parameters.get(0);
                        sequencesName = (String) parameters.get(1);
                        minLength = Integer.parseInt((String) parameters.get(2));
                        maxLength = Integer.parseInt((String) parameters.get(3));
                        coverageDepth = Integer.parseInt((String) parameters.get(4));
                        desiredCoverage = Float.parseFloat((String) parameters.get(5));
                } catch (Exception e) {
                        throw new InvalidParameterException();
                }

                IStochasticProcess model = null;
                Object dataObject = GlobalDataContainer.getInstance()
                                .getData(modelname);
                if (dataObject == null) {
                        CommandHelpers.objectNotFoundMessage(modelname);
                        return;
                } else if (!(dataObject instanceof IStochasticProcess)) {
                        CommandHelpers.objectNotType(modelname, "IStochasticProcess");
                        return;
                }
                model = (IStochasticProcess) dataObject;
                
                // set up everything
                List<List<? extends Event<?>>> allSequences = new ArrayList<List<? extends Event<?>>>();
                for (int length = minLength; length <= maxLength; length++) {
                        allSequences.addAll(model.generateValidSequences(length + 2));
                }
                Console.traceln("" + allSequences.size() + " possible");
                
                Set<List<? extends Event<?>>> allSubSeqs = SequenceTools.containedSubSequences(allSequences, coverageDepth);
                Map<List<? extends Event<?>>, Double> weightMap = SequenceTools.generateWeights(model, allSubSeqs);
                Set<List<? extends Event<?>>> coveredSubSeqs = new LinkedHashSet<List<? extends Event<?>>>();
                
                List<Set<List<? extends Event<?>>>> containedSubSeqs = new ArrayList<Set<List<? extends Event<?>>>>(allSequences.size());
                for( List<? extends Event<?>> sequence : allSequences ) {
                        List<List<? extends Event<?>>>  wrapper = new LinkedList<List<? extends Event<?>>>();
                        wrapper.add(sequence);
                        Set<List<? extends Event<?>>> currentSubSeqs = SequenceTools.containedSubSequences(wrapper, coverageDepth);
                        containedSubSeqs.add(currentSubSeqs);
                }
                
                Double[] sequenceGain = new Double[allSequences.size()];
                List<List<? extends Event<?>>> testSuite = new LinkedList<List<? extends Event<?>>>();
                CoverageCalculatorProcess coverageCalculator = new CoverageCalculatorProcess(model, testSuite, coverageDepth);
                double currentCoverage = 0.0d;
                
                // Build test suite
                while( currentCoverage<desiredCoverage ) {
                        for( int i=0 ; i<allSequences.size() ; i++ ) {
                                double gain = 0.0d;
                                for( List<? extends Event<?>> subSeq : containedSubSeqs.get(i) ) {
                                        if( !coveredSubSeqs.contains(subSeq) ) {
                                                gain += weightMap.get(subSeq);
                                        }
                                }
                                sequenceGain[i] = gain;
                        }
                        int maxIndex = ArrayTools.findMax(sequenceGain);
                        if( sequenceGain[maxIndex] <= 0.0+eps ) {
                                Console.traceln("No gain anymore! Desired coverage cannot be satisfied!");
                                break;
                        }
                        testSuite.add(allSequences.get(maxIndex));
                        coveredSubSeqs.addAll(containedSubSeqs.get(maxIndex));
                        coverageCalculator.setSequences(testSuite);
                        currentCoverage = coverageCalculator.getCoveragePossibleWeight();
                }
                
                if (GlobalDataContainer.getInstance().addData(sequencesName, testSuite)) {
                        CommandHelpers.dataOverwritten(sequencesName);
                }
                Console.println("" + testSuite.size() + " sequences generated");
                Console.println("" + currentCoverage + " coverage achieved");
        }

        @Override
        public void help() {
                Console.println("generateGreedy <modelname> <sequencesName> <minLength> <maxLength> <coverageDepth> <desiredCoverage>");
        }

}