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package ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app
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.RepMetricsReader
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.Metric
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.MetricSampleGroup
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.MultiplexParticipationCoefficientMetric
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.NodeActivityMetric
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.NodeTypeMetric
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.OutDegreeMetric
import java.util.ArrayList
import org.eclipse.emf.ecore.EObject
class EcoreMetricDistance {
var KSDistance ks;
var MetricSampleGroup g;
new(Domain d){
var metrics = RepMetricsReader.read(d);
this.g = metrics;
ks = new KSDistance(g);
}
def MetricDistanceGroup calculateMetricDistanceKS(EObject root){
val metrics = new ArrayList<Metric>();
metrics.add(new OutDegreeMetric());
metrics.add(new NodeActivityMetric());
metrics.add(new MultiplexParticipationCoefficientMetric());
metrics.add(new NodeTypeMetric());
val metricCalculator = new EMFGraph();
metricCalculator.init(root, metrics, null);
var metricSamples = metricCalculator.evaluateAllMetricsToSamples();
var mpc = ks.mpcDistance(metricSamples.mpcSamples);
var na = ks.naDistance(metricSamples.naSamples);
var outDegree = ks.outDegreeDistance(metricSamples.outDegreeSamples);
var nodeType = ks.nodeTypeDistance(metricSamples.nodeTypeSamples);
var distance = new MetricDistanceGroup(mpc, na, outDegree, nodeType);
distance.nodeTypeInfo = metricSamples.nodeTypeSamples;
return distance;
}
}
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