Fix structure false positive - prevent 'assalamualaikum' detected as closing due to 'salam' substring

app/services/structure.py

@@ -108,19 +108,36 @@ class StructureService:
                 if probs_closing > 0.8:
                     predictions[i]['predicted_label'] = 'closing'
         
-        # Rule 3: Detect keywords
-        closing_keywords = ['demikian', 'terima kasih', 'sekian', 'akhir kata',
-                           'wassalam', 'selamat pagi dan', 'sampai jumpa']
-        opening_keywords = ['selamat pagi', 'selamat siang', 'assalamualaikum',
-                           'hadirin', 'pertama-tama', 'izinkan saya']
+        # Rule 3: Detect keywords dengan exact matching
+        # CLOSING: Hanya kalimat dengan kata kunci penutup yang JELAS
+        closing_keywords = [
+            'demikian', 'terima kasih', 'terimakasih', 'sekian', 'akhir kata',
+            'wassalamualaikum', 'wassalam', 'waalaikumsalam',
+            'sampai jumpa', 'sampai bertemu', 'salam penutup'
+        ]
+        
+        # OPENING: Kata kunci pembuka
+        opening_keywords = [
+            'selamat pagi', 'selamat siang', 'selamat sore', 'selamat malam',
+            'assalamualaikum', 'assalamu alaikum',
+            'hadirin yang', 'bapak ibu', 'pertama-tama', 'izinkan saya',
+            'perkenalkan', 'yang terhormat'
+        ]
         
         for pred in predictions:
             text_lower = pred['text'].lower()
             
-            if any(kw in text_lower for kw in closing_keywords):
-                pred['predicted_label'] = 'closing'
-            elif any(kw in text_lower for kw in opening_keywords):
+            # Check OPENING first (lebih prioritas untuk kalimat awal)
+            is_opening_keyword = any(kw in text_lower for kw in opening_keywords)
+            
+            # Check CLOSING - tapi EXCLUDE jika ada opening keyword
+            # Ini prevent "assalamualaikum" salah dideteksi sebagai closing karena "salam"
+            is_closing_keyword = any(kw in text_lower for kw in closing_keywords)
+            
+            if is_opening_keyword and not is_closing_keyword:
                 pred['predicted_label'] = 'opening'
+            elif is_closing_keyword and not is_opening_keyword:
+                pred['predicted_label'] = 'closing'
         
         return predictions