Memory: Fallback-Matching bei Duplikaten wenn LLM Tool nicht aufruft

homelab-ai-bot/telegram_bot.py

@@ -286,6 +286,32 @@ async def cmd_feeds(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
     except Exception as e:
         await update.message.reply_text(f"Fehler: {e}")
 
+_STOP_WORDS = {"ich", "bin", "ist", "der", "die", "das", "ein", "eine", "und", "oder",
+               "in", "auf", "an", "fuer", "für", "von", "zu", "mit", "nach", "mein",
+               "meine", "meinem", "meinen", "hat", "habe", "wird", "will", "soll",
+               "nicht", "auch", "noch", "schon", "nur", "aber", "wenn", "weil", "dass"}
+
+
+def _find_matching_candidate(user_text: str, candidates: list[dict]) -> dict | None:
+    """Findet den Kandidaten mit der besten Wort-Ueberlappung zum User-Text."""
+    words = {w.lower().strip(".,!?") for w in user_text.split() if len(w) > 2}
+    words -= _STOP_WORDS
+    if not words:
+        return None
+
+    best, best_score = None, 0
+    for c in candidates:
+        content_words = {w.lower().strip(".,!?") for w in c["content"].split() if len(w) > 2}
+        content_words -= _STOP_WORDS
+        if not content_words:
+            continue
+        overlap = len(words & content_words)
+        score = overlap / max(len(words), 1)
+        if score > best_score and score >= 0.3:
+            best, best_score = c, score
+    return best
+
+
 def _memory_buttons(item_id: int) -> InlineKeyboardMarkup:
     return InlineKeyboardMarkup([[
         InlineKeyboardButton("🕒 Temporär", callback_data=f"mem_temp:{item_id}"),
@@ -395,6 +421,8 @@ async def handle_message(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
         suggest = context.last_suggest_result
         log.info("suggest_result: type=%s candidate_id=%s", suggest.get("type"), suggest.get("candidate_id"))
 
+        sent = False
+
         if suggest["type"] == "existing_candidate" and suggest["candidate_id"]:
             candidates = memory_client.get_candidates()
             item = next((c for c in candidates if c["id"] == suggest["candidate_id"]), None)
@@ -403,8 +431,7 @@ async def handle_message(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
                     answer[:4000] + "\n\n" + _format_candidate(item),
                     reply_markup=_memory_buttons(item["id"]),
                 )
-            else:
+                sent = True
-                await update.message.reply_text(answer[:4000], reply_markup=KEYBOARD)
 
         elif suggest["type"] == "new_candidate":
             candidates_after = memory_client.get_candidates()
@@ -416,9 +443,19 @@ async def handle_message(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
                     answer[:4000] + "\n\n" + type_icon + " " + c["content"],
                     reply_markup=_memory_buttons(c["id"]),
                 )
-            else:
+                sent = True
-                await update.message.reply_text(answer[:4000], reply_markup=KEYBOARD)
+
-        else:
+        if not sent and suggest["type"] is None:
+            matched = _find_matching_candidate(text, memory_client.get_candidates())
+            if matched:
+                log.info("Fallback-Match: Kandidat ID=%s fuer User-Text", matched["id"])
+                await update.message.reply_text(
+                    answer[:4000] + "\n\n" + _format_candidate(matched),
+                    reply_markup=_memory_buttons(matched["id"]),
+                )
+                sent = True
+
+        if not sent:
             await update.message.reply_text(answer[:4000], reply_markup=KEYBOARD)
     except Exception as e:
         log.exception("Fehler bei Freitext")