JAVA-Judge15

app.py

@@ -61,12 +61,53 @@ class JavaPOOEvaluator:
 
         return score, feedback
 
+    def analyze_inheritance(self, code: str) -> Tuple[float, List[str]]:
+        """Avalia o uso de herança"""
+        score = 0
+        feedback = []
+
+        try:
+            tree = javalang.parse.parse(code)
+            subclasses = [node for _, node in tree.filter(javalang.tree.ClassDeclaration) if node.extends]
+            
+            if subclasses:
+                score += 10
+                feedback.append(f"✓ {len(subclasses)} classe(s) estendendo outra(s).")
+            else:
+                feedback.append("⚠ Nenhum uso de herança encontrado.")
+        except Exception as e:
+            feedback.append(f"⚠ Erro ao analisar herança: {e}")
+
+        return score, feedback
+
+    def analyze_encapsulation(self, code: str) -> Tuple[float, List[str]]:
+        """Avalia o encapsulamento"""
+        score = 0
+        feedback = []
+
+        try:
+            tree = javalang.parse.parse(code)
+            fields = list(tree.filter(javalang.tree.FieldDeclaration))
+            private_count = sum(1 for _, node in fields if 'private' in node.modifiers)
+
+            if private_count:
+                score += 5
+                feedback.append(f"✓ {private_count} atributo(s) encapsulado(s) com 'private'.")
+            else:
+                feedback.append("⚠ Nenhum atributo privado encontrado.")
+        except Exception as e:
+            feedback.append(f"⚠ Erro ao analisar encapsulamento: {e}")
+
+        return score, feedback
+
     def evaluate_code(self, code: str) -> Dict:
         """Avalia o código Java"""
         cls_score, cls_feedback = self.analyze_classes_and_objects(code)
         meth_score, meth_feedback = self.analyze_methods(code)
+        enc_score, enc_feedback = self.analyze_encapsulation(code)
+        inh_score, inh_feedback = self.analyze_inheritance(code)
 
-        total_score = cls_score + meth_score
+        total_score = cls_score + meth_score + enc_score + inh_score
         proficiency = "Necessita Melhorias"
         if total_score >= 90:
             proficiency = "Excelente"
@@ -81,6 +122,8 @@ class JavaPOOEvaluator:
             "feedback": {
                 "classes_objetos": cls_feedback,
                 "metodos": meth_feedback,
+                "encapsulamento": enc_feedback,
+                "heranca": inh_feedback,
             }
         }