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package ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.graph
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.OutDegreeMetric
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.TypedOutDegree
import java.util.ArrayList
import java.util.HashMap
import java.util.List
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.NodeTypeMetric
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.EdgeTypeMetric
abstract class Graph {
protected static val String META_MODEL_HEADER = "Meta Mode"
protected static val String NUM_NODE_HEADER = "Number Of Nodes";
protected static val String NUM_EDGE_TYPE_HEADER = "Number of Edge types";
protected static val String STATE_ID_HEADER = "State Id";
protected val statistic = new GraphStatistic();
protected var List<Metric> metrics;
protected var String name = "";
protected var String metaModel = "";
/**
* evaluate all metrics for this model
* return the result as a two dimentional list
*/
def ArrayList<ArrayList<String>> evaluateAllMetrics(){
val result = new ArrayList<ArrayList<String>>();
setBasicInformation(result);
for(metric : this.metrics){
val datas = metric.evaluate(this.statistic);
for(row : datas){
result.add(new ArrayList<String>(row));
}
}
return result;
}
def MetricSampleGroup evaluateAllMetricsToSamples(){
var sample = new MetricSampleGroup();
for(metric : this.metrics){
if(metric instanceof MultiplexParticipationCoefficientMetric){
sample.mpcSamples = metric.evaluateSamples(this.statistic) as ArrayList<Double>;
}else if(metric instanceof NodeActivityMetric){
sample.naSamples = metric.evaluateSamples(this.statistic) as ArrayList<Double>;
}else if(metric instanceof OutDegreeMetric){
sample.outDegreeSamples = metric.evaluateSamples(this.statistic) as ArrayList<Double>;
}else if(metric instanceof TypedOutDegree){
sample.typedOutDegreeSamples = metric.evaluateSamples(this.statistic) as HashMap<String, List<Integer>>;
}else if(metric instanceof NodeTypeMetric){
sample.nodeTypeSamples = metric.evaluateSamples(this.statistic) as HashMap<String, Double>;
}else if (metric instanceof EdgeTypeMetric){
sample.edgeTypeSamples = metric.evaluateSamples(this.statistic) as HashMap<String, Double>;
}
}
return sample;
}
def void setBasicInformation(ArrayList<ArrayList<String>> result);
def GraphStatistic getStatistic();
def String getName();
}
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