fixes commcoach

modules/features/commcoach/serviceCommcoach.py

@@ -33,6 +33,7 @@ from .serviceCommcoachContextRetrieval import (
     buildSessionSummariesForPrompt,
     findSessionByDate,
     searchSessionsByTopic,
+    searchSessionsByTopicRag,
     _parseDateFromMessage,
     PREVIOUS_SESSION_SUMMARIES_COUNT,
     ROLLING_OVERVIEW_SESSION_THRESHOLD,
@@ -1035,10 +1036,29 @@ class CommcoachService:
                 result["rollingOverview"] = rollingOverview
 
         elif intent == RetrievalIntent.RECALL_TOPIC:
-            retrieved = searchSessionsByTopic(completedSessions, userContent)
+            retrieved = list(searchSessionsByTopic(completedSessions, userContent))
+            queryVector = await self._embedUserQuery(userContent)
+            if queryVector:
+                ragHits = searchSessionsByTopicRag(
+                    userContent,
+                    self.userId,
+                    self.instanceId,
+                    mandateId=self.mandateId,
+                    queryVector=queryVector,
+                )
+                for hit in ragHits:
+                    content = (hit.get("content") or "").strip()
+                    if not content:
+                        continue
+                    retrieved.append({
+                        "summary": content[:450],
+                        "date": "",
+                        "source": "rag",
+                        "ragSourceLabel": hit.get("fileName") or "Mandantenwissen",
+                    })
             result["retrievedByTopic"] = retrieved
             if retrieved:
-                logger.info(f"Topic recall: found {len(retrieved)} sessions for query")
+                logger.info(f"Topic recall: {len(retrieved)} item(s) (sessions + optional RAG)")
             result["previousSessionSummaries"] = buildSessionSummariesForPrompt(
                 allSessions, excludeSessionId=sessionId, limit=PREVIOUS_SESSION_SUMMARIES_COUNT
             )
@@ -1101,3 +1121,31 @@ class CommcoachService:
             )
         )
         return await aiService.callAi(aiRequest)
+
+    async def _embedUserQuery(self, text: str) -> Optional[List[float]]:
+        """Embedding for mandate-wide RAG (same ServiceCenter AI service as coaching calls)."""
+        snippet = (text or "").strip()[:2000]
+        if not snippet:
+            return None
+        from modules.serviceCenter import getService
+        from modules.serviceCenter.context import ServiceCenterContext
+
+        serviceContext = ServiceCenterContext(
+            user=self.currentUser,
+            mandate_id=self.mandateId,
+            feature_instance_id=self.instanceId,
+        )
+        aiService = getService("ai", serviceContext)
+        await aiService.ensureAiObjectsInitialized()
+        try:
+            response = await aiService.callEmbedding([snippet])
+        except Exception as e:
+            logger.warning(f"CommCoach RAG embedding failed: {e}")
+            return None
+        if not response or response.errorCount > 0:
+            return None
+        embs = (response.metadata or {}).get("embeddings") or []
+        vec = embs[0] if embs else None
+        if isinstance(vec, list) and len(vec) > 0:
+            return vec
+        return None

modules/features/commcoach/serviceCommcoachAi.py

@@ -229,12 +229,18 @@ WICHTIG: Antworte NUR mit dem JSON-Objekt. Kein Text vor oder nach dem JSON."""
         prompt += f"\n{retrievedSession.get('summary', '')[:500]}"
 
     if retrievedByTopic:
-        prompt += "\n\nRelevante Sessions zum angefragten Thema:"
+        prompt += "\n\nRelevante Sessions und Mandantenwissen zum angefragten Thema:"
-        for s in retrievedByTopic[:3]:
+        for s in retrievedByTopic[:5]:
-            summary = s.get("summary", "")
+            summary = s.get("summary", s.get("content", ""))
+            if not summary:
+                continue
             dateStr = s.get("date", "")
-            if summary:
+            if s.get("source") == "rag":
-                prompt += f"\n- [{dateStr}] {summary[:300]}"
+                label = s.get("ragSourceLabel") or "Mandantenwissen"
+                prompt += f"\n- [Wissen: {label}] {summary[:320]}"
+            else:
+                prefix = f"[{dateStr}] " if dateStr else ""
+                prompt += f"\n- {prefix}{summary[:300]}"
 
     if openTasks:
         prompt += "\n\nOffene Aufgaben:"