1 | package de.ugoe.cs.eventbench.commands;
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2 |
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3 | import java.security.InvalidParameterException;
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4 | import java.util.ArrayList;
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5 | import java.util.Collection;
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6 | import java.util.LinkedHashSet;
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7 | import java.util.LinkedList;
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8 | import java.util.List;
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9 | import java.util.Random;
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10 |
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11 | import de.ugoe.cs.eventbench.CommandHelpers;
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12 | import de.ugoe.cs.eventbench.data.Event;
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13 | import de.ugoe.cs.eventbench.data.GlobalDataContainer;
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14 | import de.ugoe.cs.eventbench.models.IStochasticProcess;
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15 | import de.ugoe.cs.util.console.Command;
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16 | import de.ugoe.cs.util.console.Console;
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17 |
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18 | /**
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19 | * <p>
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20 | * Command to generate sequences of a given length.
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21 | * </p>
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22 | *
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23 | * @author Steffen Herbold
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24 | * @version 1.0
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25 | */
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26 | public class CMDgenerateHybrid implements Command {
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27 |
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28 | /*
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29 | * (non-Javadoc)
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30 | *
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31 | * @see de.ugoe.cs.util.console.Command#run(java.util.List)
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32 | */
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33 | @Override
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34 | public void run(List<Object> parameters) {
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35 | String modelname;
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36 | String sequencesName;
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37 | int length;
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38 | int maxLengthAll;
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39 | int numSequences;
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40 | boolean validEnd = true;
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41 | try {
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42 | modelname = (String) parameters.get(0);
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43 | sequencesName = (String) parameters.get(1);
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44 | length = Integer.parseInt((String) parameters.get(2));
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45 | maxLengthAll = Integer.parseInt((String) parameters.get(3));
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46 | numSequences = Integer.parseInt((String) parameters.get(4));
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47 | if (parameters.size() >= 6) {
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48 | validEnd = Boolean.parseBoolean((String) parameters.get(5));
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49 | }
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50 | } catch (Exception e) {
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51 | throw new InvalidParameterException();
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52 | }
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53 |
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54 | if (length <= maxLengthAll) {
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55 | // indirectly call command generateFixedLengthSequences
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56 | List<Object> parameters2 = new LinkedList<Object>();
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57 | parameters2.add(modelname);
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58 | parameters2.add(sequencesName);
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59 | parameters2.add(Integer.toString(length));
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60 | parameters2.add(Integer.toString(length));
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61 | parameters2.add(Boolean.toString(false));
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62 | parameters2.add(Integer.toString(numSequences));
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63 | parameters2.add(Boolean.toString(validEnd));
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64 | CMDgenerateFixedLengthSequences cmd = new CMDgenerateFixedLengthSequences();
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65 | cmd.run(parameters2);
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66 | return;
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67 | }
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68 |
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69 | IStochasticProcess model = null;
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70 | Object dataObject = GlobalDataContainer.getInstance()
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71 | .getData(modelname);
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72 | if (dataObject == null) {
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73 | CommandHelpers.objectNotFoundMessage(modelname);
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74 | return;
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75 | } else if (!(dataObject instanceof IStochasticProcess)) {
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76 | CommandHelpers.objectNotType(modelname, "IStochasticProcess");
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77 | return;
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78 | }
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79 | model = (IStochasticProcess) dataObject;
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80 | Collection<List<? extends Event<?>>> sequences = new LinkedHashSet<List<? extends Event<?>>>();
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81 |
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82 | List<List<? extends Event<?>>> seqsTmp = new ArrayList<List<? extends Event<?>>>(
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83 | model.generateSequences(maxLengthAll + 1, true));
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84 |
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85 | Console.traceln("" + seqsTmp.size() + " of length " + maxLengthAll
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86 | + " possible");
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87 | List<Double> probabilities = new ArrayList<Double>(seqsTmp.size());
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88 | double probSum = 0.0;
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89 | for (List<? extends Event<?>> sequence : seqsTmp) {
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90 | double prob = model.getProbability(sequence);
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91 | probabilities.add(prob);
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92 | probSum += prob;
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93 | }
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94 |
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95 | Random r = new Random();
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96 | int j = 0;
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97 | while (sequences.size() < numSequences && j <= numSequences * 100) {
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98 | j++;
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99 | double randVal = r.nextDouble() * probSum;
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100 | double sum = 0.0d;
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101 | int index = -1;
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102 | while (sum < randVal) {
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103 | index++;
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104 | double currentProb = probabilities.get(index);
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105 | sum += currentProb;
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106 | }
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107 | List<? extends Event<?>> seqTmp = seqsTmp.get(index);
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108 | if (!Event.ENDEVENT.equals(seqTmp.get(seqTmp.size() - 1))) {
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109 | List<? extends Event<?>> sequence;
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110 | if (validEnd) {
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111 | sequence = finishSequence(seqTmp, model, length + 2,
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112 | validEnd);
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113 | if( sequence!= null && sequence.size()!=length+2 ) {
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114 | sequence = null;
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115 | }
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116 | } else {
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117 | sequence = finishSequence(seqTmp, model, length + 1,
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118 | validEnd);
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119 | if( sequence!= null && sequence.size()!=length+1 ) {
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120 | sequence = null;
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121 | }
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122 | }
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123 | if( sequence!=null ) {
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124 | sequences.add(sequence);
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125 | }
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126 | }
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127 | }
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128 | if (GlobalDataContainer.getInstance().addData(sequencesName, sequences)) {
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129 | CommandHelpers.dataOverwritten(sequencesName);
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130 | }
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131 | Console.println("" + sequences.size() + " sequences generated");
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132 | }
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133 |
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134 | public List<? extends Event<?>> finishSequence(
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135 | List<? extends Event<?>> sequence, IStochasticProcess model,
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136 | int maxLength, boolean validEnd) {
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137 | Random r = new Random();
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138 | boolean endFound = false;
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139 | List<Event<?>> sequenceCopy = new LinkedList<Event<?>>(sequence);
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140 | final int maxIter = 30000;
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141 | int iter = 0;
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142 | while (!endFound && iter<maxIter) {
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143 | iter++;
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144 | sequenceCopy = new LinkedList<Event<?>>(sequence);
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145 | while (!endFound && sequenceCopy.size() <= maxLength) {
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146 | double randVal = r.nextDouble();
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147 | double probSum = 0.0;
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148 | for (Event<?> symbol : model.getEvents()) {
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149 | probSum += model.getProbability(sequenceCopy, symbol);
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150 | if (probSum >= randVal) {
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151 | if (!(Event.STARTEVENT.equals(symbol) || (!validEnd && Event.ENDEVENT.equals(symbol)))) {
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152 | // only add the symbol the sequence if it is not
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153 | // START
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154 | // or END
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155 | sequenceCopy.add(symbol);
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156 | }
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157 | endFound = Event.ENDEVENT.equals(symbol)
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158 | || (!validEnd && sequenceCopy.size() == maxLength);
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159 | break;
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160 | }
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161 | }
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162 | }
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163 | }
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164 | if( iter==maxIter ) {
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165 | return null;
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166 | }
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167 | return sequenceCopy;
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168 | }
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169 |
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170 | /*
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171 | * (non-Javadoc)
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172 | *
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173 | * @see de.ugoe.cs.util.console.Command#help()
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174 | */
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175 | @Override
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176 | public void help() {
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177 | Console.println("Usage: generateHybrid <modelname> <sequencesName> <lenght> <maxlengthAll> <numSequences> {<validEnd>}");
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178 | }
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179 |
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180 | }
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