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package ca.mcgill.ecse.socialnetwork.runner;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.PrintStream;
import java.util.ArrayList;
import java.util.Map;
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app.Domain;
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.distance.KSDistance;
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.graph.EMFGraph;
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.io.CsvFileWriter;
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.io.GraphReader;
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.MetricSampleGroup;
import hu.bme.mit.inf.dslreasoner.application.execution.StandaloneScriptExecutor;
import hu.bme.mit.inf.dslreasoner.domains.yakindu.sgraph.validation.ViolationCheck;
import hu.bme.mit.inf.dslreasoner.domains.yakindu.sgraph.yakindumm.YakindummPackage;
import socialnetwork.Person;
public class Main {
private static String runWithPath(String path) {
String message = StandaloneScriptExecutor.executeScript(path);
return message;
}
private static String configFolder = "yakinduum/config15/";
private static String configFileName = configFolder + "info_new_metric.csv";
private static String aggregateViolationMeasureFileName = configFolder + "aggregateInfo.csv";
private static String fileReadFolder = "output/Viatra_100/";
public static void main(String args[]) {
long begin = System.currentTimeMillis();
String message = runWithPath("yakinduGeneration.vsconfig");
long elapsed = System.currentTimeMillis() - begin;
if(message != null) {
return;
}
ArrayList<ArrayList<String>> output = new ArrayList<ArrayList<String>>();
String time = formatTime(elapsed);
ArrayList<String> infoOutput = new ArrayList<String>();
infoOutput.add(time);
output.add(infoOutput);
System.out.println(time);
CsvFileWriter.write(output, configFileName);
output = new ArrayList<ArrayList<String>>();
output.add(prepareInfo());
CsvFileWriter.append(output, configFileName);
for(int i = 0; i < 50; i++) {
generateModel(i+1);
}
//aggregateViolationMeasure(50);
System.out.println("Finished");
}
public static void generateModel(int run) {
String filename = run+"_1.xmi";
//prepare initial info
ArrayList<ArrayList<String>> output = new ArrayList<ArrayList<String>>();
ArrayList<String> infoOutput = new ArrayList<String>();
infoOutput.add(run+ "");
infoOutput.addAll(calculateMetric(run));
YakinduumModel model = new YakinduumModel(fileReadFolder +"run" +run + "/" + filename);
int violationCount = ViolationCheck.calculateViolationCounts(model.yakinduum);
infoOutput.add(violationCount + "");
//save model to another directory
model.save(configFolder + run + ".xmi");
output.add(infoOutput);
CsvFileWriter.append(output, configFileName);
}
public static void singleModelViolationMeasure(int run) {
String filename = run+"_1.xmi";
//prepare initial info
ArrayList<ArrayList<String>> output = new ArrayList<ArrayList<String>>();
ArrayList<String> infoOutput = new ArrayList<String>();
infoOutput.add(run+ "");
YakinduumModel model = new YakinduumModel("output/Viatra_100/run"+run+"/"+ filename);
//parse map of violation counts to two list and add them to the result list
Map<String, Integer> map = ViolationCheck.violationMaps(model.yakinduum);
ArrayList<String> counts = new ArrayList<String>();
ArrayList<String> violationNames = new ArrayList<String>(map.keySet());
for(int i = 0; i < violationNames.size(); i++) {
String name = violationNames.get(i);
int total = map.get(name);
counts.add(total + "");
}
output.add(infoOutput);
output.add(violationNames);
output.add(counts);
CsvFileWriter.append(output, configFileName);
}
public static void aggregateViolationMeasure(int size) {
ArrayList<ArrayList<String>> output = new ArrayList<ArrayList<String>>();
ArrayList<String> counts = new ArrayList<String>();
ArrayList<String> violationNames = null;
for(int run = 1; run < size+1; run++) {
String filename = run+"_1.xmi";
YakinduumModel model = new YakinduumModel("output/Viatra_100/run"+run+"/"+ filename);
Map<String, Integer> map = ViolationCheck.violationMaps(model.yakinduum);
if(run == 1) {
violationNames = new ArrayList<String>(map.keySet());
for(int i = 0; i < violationNames.size(); i++) {
String name = violationNames.get(i);
int total = map.get(name);
counts.add(total + "");
}
}else {
for(int i = 0; i < violationNames.size(); i++) {
int count = Integer.parseInt(counts.get(i));
String name = violationNames.get(i);
int total = count + map.get(name);
counts.set(i, total + "");
}
}
}
for(int i = 0; i < counts.size(); i++) {
double count = Integer.parseInt(counts.get(i)) / (double) size;
counts.set(i, count + "");
}
output.add(violationNames);
output.add(counts);
CsvFileWriter.write(output, aggregateViolationMeasureFileName);
}
public static ArrayList<String> calculateMetric(int run) {
//read model and metric
ArrayList<String> output = new ArrayList<String>();
GraphReader reader = new GraphReader(YakindummPackage.eINSTANCE);
EMFGraph graph = reader.readModel(fileReadFolder+"/run"+run, run + "_1.xmi");
//KS distance
KSDistance ks = new KSDistance(Domain.Yakinduum);
//calculate and put metric data to output array
MetricSampleGroup samples = graph.evaluateAllMetricsToSamples();
output.add(graph.getStatistic().getAllNodes().size() + "");
output.add(ks.outDegreeDistance(samples.outDegreeSamples) + "");
output.add(ks.naDistance(samples.naSamples)+ "");
output.add(ks.mpcDistance(samples.mpcSamples) + "");
output.add(ks.typedOutDegreeDistance(samples.typedOutDegreeSamples) + "");
return output;
}
public static ArrayList<String> prepareInfo() {
ArrayList<String> info = new ArrayList<String>();
info.add("ID");
info.add("# of Nodes");
info.add("Out Degree");
info.add("Node Activity");
info.add("MPC");
info.add("Typed Out Degree");
info.add("Violations");
return info;
}
public static String formatTime(long time) {
long mili = time % 1000;
long second = (time / 1000) % 60;
long minute = (time / (1000 * 60));
return String.format("%d : %d.%d", minute, second, mili);
}
public static void statistics() {
String uri = "output/1.xmi";
SocialNetworkModel socialNetwork = new SocialNetworkModel(uri);
System.out.println(socialNetwork.getPersons().size());
File file = new File("model/statistics/output.txt");
try {
@SuppressWarnings("resource")
PrintStream out = new PrintStream(file);
for(Person p : socialNetwork.getPersons()) {
out.println(p.getFriends().size());
}
} catch (FileNotFoundException e) {
e.printStackTrace();
}
System.out.println("Output Finished");
}
}
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