+Shopping cart analysis

#SPM-23: add work 2h development

src/main/java/de/hsel/spm/baudas/analysis/ShoppingCart.java

@@ -1,26 +1,87 @@
 package de.hsel.spm.baudas.analysis;
 
-
+import weka.associations.Apriori;
-import org.jetbrains.annotations.Nullable;
+import weka.associations.AssociationRule;
+import weka.associations.Item;
 import weka.core.Instances;
+import weka.filters.Filter;
+import weka.filters.unsupervised.attribute.NumericCleaner;
+import weka.filters.unsupervised.attribute.NumericToNominal;
 
 import java.io.File;
+import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
-public class ShoppingCart implements Analysis<Map<String, List<String>>>{
+/**
+ * The shopping-cart Analysis.
+ *
+ * @author Julian Hinxlage
+ * @version 0.1
+ */
+public class ShoppingCart implements Analysis<Map<List<String>, List<String>>> {
 
+    private Instances instances;
 
-    @Nullable
     @Override
-    public Instances load(File file) {
+    public Map<List<String>, List<String>> getResult() {
-        return null;
+        Map<List<String>, List<String>> result = new HashMap<>();
+
+        Apriori model = new Apriori();
+
+        for (int i = 0; i < 11; i++) {
+            instances.deleteAttributeAt(0);
         }
 
-    @Override
+        //alle artikel anzahlen auf 0 oder 1 setzen
-    public Map<String, List<String>> getResult() {
+        NumericCleaner nc = new NumericCleaner();
-        Map<String, List<String>> result = new HashMap<>();
+        nc.setMaxThreshold(1.0);
+        nc.setMaxDefault(1.0);
+        try {
+            nc.setInputFormat(instances);
+            instances = Filter.useFilter(instances, nc);
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+
+        //zahl werte zu nomial werten umwandeln
+        NumericToNominal num2nom = new NumericToNominal();
+        num2nom.setAttributeIndices("first-last");
+        try {
+            num2nom.setInputFormat(instances);
+            instances = Filter.useFilter(instances, num2nom);
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+
+        model.setTreatZeroAsMissing(true);
+        try {
+            model.buildAssociations(instances);
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+
+        for(int i = 0; i < model.getAssociationRules().getRules().size();i++){
+            AssociationRule rule = model.getAssociationRules().getRules().get(i);
+
+            List<String> l1 = new ArrayList<>();
+            for(Item item : rule.getPremise()){
+                l1.add(item.getAttribute().name());
+            }
+            List<String> l2 = new ArrayList<>();
+            for(Item item : rule.getConsequence()){
+                l2.add(item.getAttribute().name());
+            }
+
+            result.put(l1,l2);
+        }
+
+
         return result;
     }
+
+    public ShoppingCart(File file) {
+        instances = load(file);
+    }
 }

src/test/java/de/hsel/spm/baudas/analysis/ShoppingCartTest.java

@@ -0,0 +1,51 @@
+package de.hsel.spm.baudas.analysis;
+
+import org.junit.jupiter.api.Test;
+
+import java.io.File;
+import java.net.URL;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Test class for shopping-cart analysis.
+ *
+ * @author Julian Hinxlage
+ * @version 0.1
+ */
+class ShoppingCartTest {
+
+    @Test
+    void test100(){
+        URL url = getClass().getClassLoader().getResource("kd100.csv");
+        assert url != null;
+
+        ShoppingCart cart = new ShoppingCart(new File(url.getFile()));
+        Map<List<String>, List<String>> result = cart.getResult();
+
+        System.out.println(result);
+    }
+
+    @Test
+    void test1000(){
+        URL url = getClass().getClassLoader().getResource("kd1000.csv");
+        assert url != null;
+
+        ShoppingCart cart = new ShoppingCart(new File(url.getFile()));
+        Map<List<String>, List<String>> result = cart.getResult();
+
+        System.out.println(result);
+    }
+
+    @Test
+    void test10000(){
+        URL url = getClass().getClassLoader().getResource("kd10000.csv");
+        assert url != null;
+
+        ShoppingCart cart = new ShoppingCart(new File(url.getFile()));
+        Map<List<String>, List<String>> result = cart.getResult();
+
+        System.out.println(result);
+    }
+
+}