source: trunk/EventBenchConsole/src/de/ugoe/cs/eventbench/commands/CMDgenerateRandomSequences.java @ 119

package de.ugoe.cs.eventbench.commands;

import java.security.InvalidParameterException;
import java.util.HashSet;
import java.util.LinkedList;
import java.util.List;
import java.util.Set;

import de.ugoe.cs.eventbench.data.GlobalDataContainer;
import de.ugoe.cs.eventbench.data.Event;
import de.ugoe.cs.eventbench.models.IStochasticProcess;
import de.ugoe.cs.util.console.Command;
import de.ugoe.cs.util.console.Console;

public class CMDgenerateRandomSequences implements Command {

        @Override
        public void run(List<Object> parameters) {
                String modelname;
                String sequencesName;
                int numSessions;
                long maxIter;
                try {
                        modelname = (String) parameters.get(0);
                        sequencesName = (String) parameters.get(1);
                        numSessions = Integer.parseInt((String) parameters.get(2));
                        maxIter = numSessions*10;
                        if( parameters.size()==4 ) {
                                maxIter = Long.parseLong((String) parameters.get(3));
                        }
                }
                catch (Exception e) {
                        throw new InvalidParameterException();
                }
                
                IStochasticProcess model = null; 
                Object dataObject = GlobalDataContainer.getInstance().getData(modelname);
                if( dataObject==null ) {
                        Console.println("Model " + modelname + " not found in storage.");
                }
                else if( !(dataObject instanceof IStochasticProcess) ) {
                        Console.println("Object " + modelname + " not of type MarkovModel!");
                } else {
                        model = (IStochasticProcess) dataObject;
                        Set<List<? extends Event<?>>> sequences = new HashSet<List<? extends Event<?>>>(numSessions);
                        long numIterations = 0;
                        while( sequences.size()<numSessions && numIterations<maxIter ) {
                                sequences.add(model.randomSequence());
                                numIterations++;
                        }
                        if( sequences.size() < numSessions ) {
                                Console.println("Only " + sequences.size() + " unique sessions generated after " + maxIter + " iterations");
                        }
                        if( GlobalDataContainer.getInstance().addData(sequencesName, sequences) ) {
                                Console.traceln("Old data \"" + sequencesName + "\" overwritten");
                        }
                }
        }

        @Override
        public void help() {
                Console.println("Usage: generateRandomSequenecs <modelName> <sequencesName> <numSessions> {<maxIter>}");
        }

}