Update modules/memory.py

modules/memory.py

@@ -14,16 +14,39 @@ import random
 class Memory:
     """Klasse zur Verwaltung des Gesprächsgedächtnisses"""
     
-    def __init__(self, max_history_length: int = 10):
-        """Initialisiert das Gedächtnis mit maximaler Historienlänge"""
-        self.max_history_length = max_history_length
-        self.conversation_history = []
-        self.extracted_info = {
-            "mentioned_people": set(),
-            "mentioned_events": set(),
-            "recurring_themes": {},
-            "emotional_patterns": []
-        }
+    def _extract_information(self, exchange: Dict[str, Any]) -> None:
+        """
+        Extrahiert wichtige Informationen aus einem Gesprächsaustausch
+        
+        Args:
+            exchange: Dictionary mit User-Input und Bot-Response
+            
+        Raises:
+            ValueError: Wenn der Exchange ungültig ist
+        """
+        if not isinstance(exchange, dict):
+            raise ValueError("exchange must be a dictionary")
+        if "user_input" not in exchange or not isinstance(exchange["user_input"], str):
+            raise ValueError("exchange must contain valid user_input")
+        
+        user_input = exchange["user_input"].lower()
+        analysis = exchange["analysis"]
+        
+        try:
+            # Multi-Level Psychoanalyse
+            self._analyze_defense_mechanisms(user_input)
+            self._analyze_transference_patterns(user_input)
+            self._analyze_symbolic_patterns(user_input)
+            self._update_association_network(user_input)
+            self._update_escalation_levels(analysis)
+            
+            # Erwähnte Personen und Ereignisse
+            for word in user_input.split():
+                if word not in ["ich", "du", "wir", "sie", "er", "es"]:
+                    self.extracted_info["mentioned_people"].add(word)
+            
+        except Exception as e:
+            raise ValueError(f"Failed to extract information: {str(e)}")
     
     def add_exchange(self, user_input: str, bot_response: str, analysis: Optional[Dict[str, Any]] = None) -> None:
         """
@@ -215,4 +238,4 @@ class Memory:
             "time": time.time(),
             "intensity": analysis.get("intensity", 0),
             "patterns": analysis.get("patterns", [])
-        }
+        }