1 files changed, 79 insertions, 0 deletions

diff --git a/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/src/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/io/RepMetricsReader.xtend b/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/src/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/io/RepMetricsReader.xtend
new file mode 100644
index 00000000..867ddd1a
--- /dev/null
+++ b/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/src/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/io/RepMetricsReader.xtend
@@ -0,0 +1,79 @@
+package ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.io
+
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app.Domain
+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 java.io.File
+import java.util.List
+import java.util.Scanner
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.MetricSampleGroup
+
+/**
+ * Read the sample of the distribution of a metric provided the csv file of the metric
+ */
+class RepMetricsReader {
+        static def read(Domain d){
+                var domainRepPath = CsvDataName.REP_PATH + d.name + '/';
+                var rep = new MetricSampleGroup()
+                rep.mpcSamples = readFile(domainRepPath + CsvDataName.MPC_REP, MultiplexParticipationCoefficientMetric.valueName,
+                                                          MultiplexParticipationCoefficientMetric.countName).map[Double.parseDouble(it)];
+                rep.naSamples = readFile(domainRepPath+CsvDataName.NA_REP, NodeActivityMetric.valueName, NodeActivityMetric.countName
+                                                        ).map[Double.parseDouble(it)];
+                rep.outDegreeSamples = readFile(domainRepPath+CsvDataName.OUT_D_REP, OutDegreeMetric.valueName, OutDegreeMetric.countName
+                                                        ).map[Double.parseDouble(it)];
+                return rep;
+        }
+        
+        /**
+         * read metric data and parse it to samples
+         */
+        private static def List<String> readFile(String filename, String valueDataName, String countDataName){
+                var s = new Scanner(new File(filename));
+                val counts = newArrayList();
+                val values = newArrayList();
+                //read data from csv
+                while(s.hasNext()){
+                        var data = s.nextLine().split(',');     
+                        
+                        if(data.size >= 1){
+                                if(data.get(0).equals(countDataName)){
+                                        //add all data with parsing them as integers
+                                        counts.addAll(data.subList(1, data.size()).map[Integer.parseInt(it)]);
+                                }else if(data.get(0).equals(valueDataName)){
+                                        //add all data without parsing (there can be either double or string, to be parsed later)
+                                        values.addAll(data.subList(1, data.size()));
+                                }
+                        }
+                }
+                
+                return createSamples(counts, values);
+        }
+        
+        // create samples from values and counts
+        private static def List<String> createSamples(List<Integer> counts, List<String> values){
+                val samples = newArrayList();
+                
+                if(counts.size() != values.size()){
+                        throw new RuntimeException("counts and values should have the same size!");
+                }
+                
+                for(var i = 0; i < counts.size(); i++){
+                        for(var j = 0; j < counts.get(i); j++){
+                                samples.add(values.get(i));
+                        }
+                }
+                
+                return samples;
+        }
+        
+        
+}
+
+class CsvDataName{
+        public static val REP_PATH = 'data/';
+        public static val MPC_REP = 'mpc_rep.csv';
+        public static val NA_REP = 'na_rep.csv';
+        public static val OUT_D_REP = 'out_d_rep.csv';
+}
+