Memory: Debug-Logging fuer Duplikat-Flow

homelab-ai-bot/context.py

@@ -294,6 +294,9 @@ def _tool_memory_read(scope=""):
     return "\n".join(lines)
 
 
+import logging as _logging
+_log = _logging.getLogger("context")
+
 last_suggest_result = {"type": None, "candidate_id": None}
 
 
@@ -302,6 +305,7 @@ def _tool_memory_suggest(scope, kind, content, memory_type="temporary", expires_
     from datetime import datetime
     global last_suggest_result
     last_suggest_result = {"type": None, "candidate_id": None}
+    _log.info("memory_suggest aufgerufen: scope=%s kind=%s type=%s content=%s", scope, kind, memory_type, content[:80])
 
     if memory_type not in ("temporary", "permanent"):
         memory_type = "temporary"
@@ -335,6 +339,7 @@ def _tool_memory_suggest(scope, kind, content, memory_type="temporary", expires_
 
         if ex_status == "candidate":
             last_suggest_result = {"type": "existing_candidate", "candidate_id": ex_id}
+            _log.info("Duplikat: bestehender Kandidat ID=%s", ex_id)
             return "Noch nicht bestaetigt — zeige Auswahl erneut."
         elif ex_status == "active":
             if ex_type == "temporary" and ex_exp:

homelab-ai-bot/telegram_bot.py

@@ -393,6 +393,7 @@ async def handle_message(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
             memory_client.log_message(session_id, "assistant", answer)
 
         suggest = context.last_suggest_result
+        log.info("suggest_result: type=%s candidate_id=%s", suggest.get("type"), suggest.get("candidate_id"))
 
         if suggest["type"] == "existing_candidate" and suggest["candidate_id"]:
             candidates = memory_client.get_candidates()