#!/bin/bash
recommendationPath=/home/leveque/GRoG-Projet/vm-environment/data/web-application/grog-recommendation/
preprocessBin=grog-recommendation-preprocess/target/grog-recommendation-preprocess-3.0-SNAPSHOT.jar
processBin=grog-recommendation-process/target/grog-recommendation-process-3.0-SNAPSHOT.jar
postprocessBin=grog-recommendation-postprocess/target/grog-recommendation-postprocess-3.0-SNAPSHOT.jar

for i in `seq 1 10`;
do
  for j in `seq 1 20`;
  do
	for k in cosine pearson;
	do
	  capK="$(tr '[:lower:]' '[:upper:]' <<< ${k:0:1})${k:1}"
      	  dir=$capK"/CollectionAnnotated"$j"Percent"$capK$i
	  if [ ! -f $dir"/PrecisionRappel.csv" ]; then
	    java -jar $recommendationPath$preprocessBin --data.dir=$dir/
	    java -jar $recommendationPath$processBin --data.dir=$dir/
	    java -jar $recommendationPath$postprocessBin --data.dir=$dir/
	  fi
	done
	for k in funkSVD slopeOne;
	do
	  capK="$(tr '[:lower:]' '[:upper:]' <<< ${k:0:1})${k:1}"
          dir=$capK"/CollectionAnnotated"$j"Percent"$capK$i
	  if [ ! -f $dir"/PrecisionRappel.csv" ]; then
	    java -jar $recommendationPath$preprocessBin --data.dir=$dir/
	    java -jar $recommendationPath$processBin --data.dir=$dir/
	    java -jar $recommendationPath$postprocessBin --data.dir=$dir/
	  fi
	done
  done
done