llm-api/plan_router.py aktualisiert

llm-api/plan_router.py

@@ -1,9 +1,10 @@
 # -*- coding: utf-8 -*-
 """
-plan_router.py – v0.9.0 (WP-15)
+plan_router.py – v0.10.0 (WP-15)
 
 Minimal-CRUD für Plan-Templates & Pläne (POST/GET) + Idempotenz via Fingerprint.
-Keine bestehenden API-Signaturen geändert. Qdrant-Client-Stil wie exercise_router.
+Erweiterung ggü. v0.9.0: optionale Section-Felder ideal/supplement + materialisierte
+Facettenfelder für Qdrant-Indizes; robustere Payload→Model-Konvertierung.
 """
 from fastapi import APIRouter, HTTPException
 from pydantic import BaseModel, Field
@@ -33,6 +34,8 @@ class TemplateSection(BaseModel):
     name: str
     target_minutes: int
     must_keywords: List[str] = []
+    ideal_keywords: List[str] = []          # NEU
+    supplement_keywords: List[str] = []     # NEU
     forbid_keywords: List[str] = []
     capability_targets: Dict[str, int] = {}
 
@@ -145,6 +148,14 @@ def _get_by_field(collection: str, key: str, value: Any) -> Optional[Dict[str, A
     payload.setdefault("id", str(pts[0].id))
     return payload
 
+
+def _as_model(model_cls, payload: Dict[str, Any]):
+    """Filtert unbekannte Felder heraus (Pydantic v1/v2 kompatibel)."""
+    fields = getattr(model_cls, "model_fields", None) or getattr(model_cls, "__fields__", {})
+    allowed = set(fields.keys())
+    data = {k: payload[k] for k in payload.keys() if k in allowed}
+    return model_cls(**data)
+
 # -----------------
 # Endpoints
 # -----------------
@@ -152,10 +163,22 @@ def _get_by_field(collection: str, key: str, value: Any) -> Optional[Dict[str, A
 def create_plan_template(t: PlanTemplate):
     _ensure_collection(PLAN_TEMPLATE_COLLECTION)
     payload = t.model_dump()
+    # Normalisierung
     payload["goals"] = _norm_list(payload.get("goals"))
-    for s in payload.get("sections", []) or []:
+    sections = payload.get("sections", []) or []
+    for s in sections:
         s["must_keywords"] = _norm_list(s.get("must_keywords") or [])
+        s["ideal_keywords"] = _norm_list(s.get("ideal_keywords") or [])            # NEU
+        s["supplement_keywords"] = _norm_list(s.get("supplement_keywords") or [])  # NEU
         s["forbid_keywords"] = _norm_list(s.get("forbid_keywords") or [])
+
+    # Materialisierte Facettenfelder (stabile KEYWORD-Indizes in Qdrant)
+    payload["section_names"] = _norm_list([s.get("name", "") for s in sections])
+    payload["section_must_keywords"] = _norm_list([kw for s in sections for kw in (s.get("must_keywords") or [])])
+    payload["section_ideal_keywords"] = _norm_list([kw for s in sections for kw in (s.get("ideal_keywords") or [])])
+    payload["section_supplement_keywords"] = _norm_list([kw for s in sections for kw in (s.get("supplement_keywords") or [])])
+    payload["section_forbid_keywords"] = _norm_list([kw for s in sections for kw in (s.get("forbid_keywords") or [])])
+
     vec = _embed(_template_embed_text(t))
     qdrant.upsert(collection_name=PLAN_TEMPLATE_COLLECTION, points=[PointStruct(id=str(t.id), vector=vec, payload=payload)])
     return t
@@ -167,7 +190,7 @@ def get_plan_template(tpl_id: str):
     found = _get_by_field(PLAN_TEMPLATE_COLLECTION, "id", tpl_id)
     if not found:
         raise HTTPException(status_code=404, detail="not found")
-    return PlanTemplate(**found)
+    return _as_model(PlanTemplate, found)
 
 
 @router.post("/plan", response_model=Plan)
@@ -180,7 +203,7 @@ def create_plan(p: Plan):
     # Idempotenz
     existing = _get_by_field(PLAN_COLLECTION, "fingerprint", p.fingerprint)
     if existing:
-        return Plan(**existing)
+        return _as_model(Plan, existing)
 
     # Normalisieren
     p.goals = _norm_list(p.goals)
@@ -206,4 +229,4 @@ def get_plan(plan_id: str):
             found["created_at"] = datetime.fromisoformat(found["created_at"])
         except Exception:
             pass
-    return Plan(**found)
+    return _as_model(Plan, found)