app/core/retriever.py

@@ -2,7 +2,7 @@
 app/core/retriever.py — Hybrider Such-Algorithmus
 
 Version:
-    0.5.2 (WP-05 Fix: Pass content in QueryHit source)
+    0.5.3 (WP-06 Fix: Populate 'payload' in QueryHit for meta-data access)
 """
 from __future__ import annotations
 
@@ -127,7 +127,9 @@ def _build_explanation(
     node_key: Optional[str]
 ) -> Explanation:
     """Erstellt ein Explanation-Objekt."""
-    sem_w, edge_w, cent_w = _get_scoring_weights()
+    sem_w, _edge_w, _cent_w = _get_scoring_weights()
+    # Scoring weights erneut laden für Reason-Details
+    _, edge_w_cfg, cent_w_cfg = _get_scoring_weights()
     
     try:
         type_weight = float(payload.get("retriever_weight", 1.0))
@@ -138,8 +140,8 @@ def _build_explanation(
 
     breakdown = ScoreBreakdown(
         semantic_contribution=(sem_w * semantic_score * type_weight),
-        edge_contribution=(edge_w * edge_bonus),
+        edge_contribution=(edge_w_cfg * edge_bonus),
-        centrality_contribution=(cent_w * cent_bonus),
+        centrality_contribution=(cent_w_cfg * cent_bonus),
         raw_semantic=semantic_score,
         raw_edge_bonus=edge_bonus,
         raw_centrality=cent_bonus,
@@ -179,7 +181,7 @@ def _build_explanation(
 
         all_edges = sorted(edges_dto, key=lambda e: e.weight, reverse=True)
         for top_edge in all_edges[:3]:
-            impact = edge_w * top_edge.weight
+            impact = edge_w_cfg * top_edge.weight
             dir_txt = "Verweist auf" if top_edge.direction == "out" else "Referenziert von"
             tgt_txt = top_edge.target if top_edge.direction == "out" else top_edge.source
             reasons.append(Reason(kind="edge", message=f"{dir_txt} '{tgt_txt}' via '{top_edge.kind}'", score_impact=impact, details={"kind": top_edge.kind}))
@@ -261,7 +263,6 @@ def _build_hits_from_semantic(
                 node_key=payload.get("chunk_id") or payload.get("note_id")
             )
 
-        # FIX: Hier holen wir jetzt den Textinhalt (text, content oder page_content) aus dem Payload
         text_content = payload.get("page_content") or payload.get("text") or payload.get("content")
 
         results.append(QueryHit(
@@ -275,8 +276,10 @@ def _build_hits_from_semantic(
             source={
                 "path": payload.get("path"),
                 "section": payload.get("section") or payload.get("section_title"),
-                "text": text_content  # WICHTIG: Inhalt durchreichen
+                "text": text_content
             },
+            # --- FIX: Wir füllen das payload-Feld explizit ---
+            payload=payload, 
             explanation=explanation_obj
         ))
 

app/models/dto.py

@@ -123,7 +123,7 @@ class QueryHit(BaseModel):
     total_score: float
     paths: Optional[List[List[Dict]]] = None
     source: Optional[Dict] = None
-    payload: Optional[Dict] = None # Added for flexibility
+    payload: Optional[Dict] = None # Added for flexibility & WP-06 meta-data
     explanation: Optional[Explanation] = None
 
 

app/routers/chat.py

@@ -76,7 +76,11 @@ def _build_enriched_context(hits: List[QueryHit]) -> str:
             "[Kein Text]"
         )
         title = hit.note_id or "Unbekannt"
-        note_type = source.get("type", "unknown").upper()
+        
+        # FIX: Wir holen den Typ aus Payload oder Source (Fallback)
+        payload = hit.payload or {}
+        note_type = payload.get("type") or source.get("type", "unknown")
+        note_type = str(note_type).upper()
         
         entry = (
             f"### QUELLE {i}: {title}\n"
@@ -214,7 +218,7 @@ async def chat_endpoint(
             sources=hits,
             latency_ms=duration_ms,
             intent=intent,
-            intent_source=intent_source # NEU: Source durchreichen
+            intent_source=intent_source # Source durchreichen
         )
 
     except Exception as e: