app/main.py

@@ -1,43 +1,43 @@
 """
-app/main.py — mindnet API bootstrap (WP-04 Hooks)
+app/main.py — mindnet API bootstrap
-Version: 0.4.2 • Stand: 2025-10-07
 """
-
 from __future__ import annotations
 from fastapi import FastAPI
 from .config import get_settings
 from .routers.embed_router import router as embed_router
 from .routers.qdrant_router import router as qdrant_router
 
-# WP-04 Router:
 from .routers.query import router as query_router
 from .routers.graph import router as graph_router
 from .routers.tools import router as tools_router
-# Optional:
+# NEU: Feedback Router
+from .routers.feedback import router as feedback_router
+
 try:
     from .routers.admin import router as admin_router
 except Exception:
     admin_router = None
 
 def create_app() -> FastAPI:
-    app = FastAPI(title="mindnet API", version="0.1.0")
+    app = FastAPI(title="mindnet API", version="0.4.3") # Version bump
     s = get_settings()
 
     @app.get("/healthz")
     def healthz():
         return {"status": "ok", "qdrant": s.QDRANT_URL, "prefix": s.COLLECTION_PREFIX}
 
-    # Bestehende Router (unverändert)
     app.include_router(embed_router)
     app.include_router(qdrant_router)
 
-    # WP-04 Endpunkte
     app.include_router(query_router, prefix="/query", tags=["query"])
     app.include_router(graph_router, prefix="/graph", tags=["graph"])
     app.include_router(tools_router, prefix="/tools", tags=["tools"])
+    # NEU:
+    app.include_router(feedback_router, prefix="/feedback", tags=["feedback"])
+
     if admin_router:
         app.include_router(admin_router, prefix="/admin", tags=["admin"])
 
     return app
 
-app = create_app()
+app = create_app()

app/models/dto.py

@@ -4,28 +4,26 @@ app/models/dto.py — Pydantic-Modelle (DTOs) für WP-04 Endpunkte
 Zweck:
     Laufzeit-Modelle für FastAPI (Requests/Responses), getrennt von JSON-Schemas.
     Deckt die Graph-/Retriever-Endpunkte ab.
-    Enthält Erweiterungen für WP-04b (Explanation Layer).
+    Enthält Erweiterungen für WP-04b (Explanation Layer) und WP-04c (Feedback).
 
 Kompatibilität:
     Python 3.12+, Pydantic 2.x, FastAPI 0.110+
 Version:
-    0.2.0  (Update für WP-04b Explanation Layer)
+    0.3.0  (Update für WP-04c Feedback)
 Stand:
     2025-12-07
-Bezug:
-    - schemas/*.json (Speicherschema für Notes/Chunks/Edges)
-    - WP-04 API-Design (Query- und Graph-Endpunkte)
-Nutzung:
-    from app.models.dto import QueryRequest, QueryResponse, GraphResponse
 """
 
 from __future__ import annotations
 from pydantic import BaseModel, Field
 from typing import List, Literal, Optional, Dict, Any
+import uuid
 
 EdgeKind = Literal["references", "references_at", "backlink", "next", "prev", "belongs_to", "depends_on", "related_to", "similar_to"]
 
 
+# --- Basis-DTOs ---
+
 class NodeDTO(BaseModel):
     """Darstellung eines Knotens (Note oder Chunk) im API-Graph."""
     id: str
@@ -51,12 +49,14 @@ class EdgeDTO(BaseModel):
     direction: Literal["out", "in", "undirected"] = "out"
 
 
+# --- Request Models ---
+
 class QueryRequest(BaseModel):
     """
     Request für /query:
     - mode: 'semantic' | 'edge' | 'hybrid'
-    - query: (optional) Freitext; Embedding wird später angebunden
+    - query: (optional) Freitext
-    - query_vector: (optional) direkter Vektor (384d) für Quick-Tests ohne Embedding
+    - query_vector: (optional) direkter Vektor
     - explain: (optional) Fordert detaillierte Erklärungen an (WP-04b)
     """
     mode: Literal["semantic", "edge", "hybrid"] = "hybrid"
@@ -65,24 +65,29 @@ class QueryRequest(BaseModel):
     top_k: int = 10
     expand: Dict = {"depth": 1, "edge_types": ["references", "belongs_to", "prev", "next", "depends_on", "related_to"]}
     filters: Optional[Dict] = None
-    # Flags zur Steuerung der Rückgabe
     ret: Dict = {"with_paths": True, "with_notes": True, "with_chunks": True}
-    # WP-04b: Soll eine Erklärung generiert werden?
     explain: bool = False
 
 
+class FeedbackRequest(BaseModel):
+    """
+    User-Feedback zu einem spezifischen Treffer (WP-04c).
+    """
+    query_id: str = Field(..., description="ID der ursprünglichen Suche")
+    node_id: str = Field(..., description="ID des bewerteten Treffers")
+    score: int = Field(..., ge=0, le=1, description="1 (Positiv) oder 0 (Negativ/Irrelevant)")
+    comment: Optional[str] = None
+
+
 # --- WP-04b Explanation Models ---
 
 class ScoreBreakdown(BaseModel):
-    """
+    """Aufschlüsselung der Score-Komponenten."""
-    Aufschlüsselung der Score-Komponenten.
-    Zeigt die gewichteten Beiträge zum Total Score.
-    """
     semantic_contribution: float = Field(..., description="W_sem * semantic_score * weight")
     edge_contribution: float = Field(..., description="W_edge * edge_bonus")
     centrality_contribution: float = Field(..., description="W_cent * centrality_bonus")
     
-    # Rohwerte für Transparenz
+    # Rohwerte
     raw_semantic: float
     raw_edge_bonus: float
     raw_centrality: float
@@ -90,10 +95,7 @@ class ScoreBreakdown(BaseModel):
 
 
 class Reason(BaseModel):
-    """
+    """Ein semantischer Grund für das Ranking."""
-    Ein semantischer Grund für das Ranking.
-    z.B. 'Verlinkt von Projekt X', 'Hohe Textähnlichkeit'.
-    """
     kind: Literal["semantic", "edge", "type", "centrality"]
     message: str
     score_impact: Optional[float] = None
@@ -101,24 +103,20 @@ class Reason(BaseModel):
 
 
 class Explanation(BaseModel):
-    """
+    """Container für alle Erklärungsdaten eines Treffers."""
-    Container für alle Erklärungsdaten eines Treffers.
-    """
     breakdown: ScoreBreakdown
     reasons: List[Reason]
-    # Optional: Pfade im Graphen, die zu diesem Treffer geführt haben
     related_edges: Optional[List[EdgeDTO]] = None
 
 
-# --- End Explanation Models ---
+# --- Response Models ---
-
 
 class QueryHit(BaseModel):
     """Einzelnes Trefferobjekt für /query."""
     node_id: str
     note_id: Optional[str]
     
-    # Flache Scores (Kompatibilität WP-04a)
+    # Flache Scores
     semantic_score: float
     edge_bonus: float
     centrality_bonus: float
@@ -127,19 +125,23 @@ class QueryHit(BaseModel):
     paths: Optional[List[List[Dict]]] = None
     source: Optional[Dict] = None
     
-    # WP-04b: Erklärungsobjekt (nur gefüllt, wenn explain=True)
+    # WP-04b: Erklärungsobjekt
     explanation: Optional[Explanation] = None
 
 
 class QueryResponse(BaseModel):
-    """Antwortstruktur für /query (Liste von Treffern + Telemetrie)."""
+    """
+    Antwortstruktur für /query (Liste von Treffern + Telemetrie).
+    Enthält query_id für Traceability (WP-04c).
+    """
+    query_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
     results: List[QueryHit]
     used_mode: str
     latency_ms: int
 
 
 class GraphResponse(BaseModel):
-    """Antwortstruktur für /graph/{note_id} (Nachbarschaft)."""
+    """Antwortstruktur für /graph/{note_id}."""
     center_note_id: str
     nodes: List[NodeDTO]
     edges: List[EdgeDTO]

app/routers/feedback.py

@@ -0,0 +1,20 @@
+"""
+app/routers/feedback.py
+Endpunkt für User-Feedback (WP-04c).
+"""
+from fastapi import APIRouter, HTTPException
+from app.models.dto import FeedbackRequest
+from app.services.feedback_service import log_feedback
+
+router = APIRouter()
+
+@router.post("", status_code=201)
+def post_feedback(fb: FeedbackRequest):
+    """
+    Nimmt Feedback entgegen (z.B. Daumen hoch für einen Treffer).
+    """
+    try:
+        log_feedback(fb)
+        return {"status": "recorded", "query_id": fb.query_id}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))

app/routers/query.py

@@ -15,24 +15,31 @@ Bezug:
 Nutzung:
     app.include_router(query.router, prefix="/query", tags=["query"])
 Änderungsverlauf:
+    0.2.0 (2025-12-07) - Update für WP04c Feedback
     0.1.0 (2025-10-07) – Erstanlage.
 """
-
 from __future__ import annotations
-from fastapi import APIRouter, HTTPException
+from fastapi import APIRouter, HTTPException, BackgroundTasks
 from app.models.dto import QueryRequest, QueryResponse
 from app.core.retriever import hybrid_retrieve, semantic_retrieve
+# NEU:
+from app.services.feedback_service import log_search
 
 router = APIRouter()
 
 @router.post("", response_model=QueryResponse)
-def post_query(req: QueryRequest) -> QueryResponse:
+def post_query(req: QueryRequest, background_tasks: BackgroundTasks) -> QueryResponse:
     try:
         if req.mode == "semantic":
-            return semantic_retrieve(req)
+            res = semantic_retrieve(req)
-        # default: hybrid
+        else:
-        return hybrid_retrieve(req)
+            res = hybrid_retrieve(req)
+        
+        # WP-04c: Logging im Hintergrund (bremst Antwort nicht)
+        background_tasks.add_task(log_search, req, res)
+        
+        return res
     except ValueError as e:
         raise HTTPException(status_code=400, detail=str(e))
     except Exception as e:
-        raise HTTPException(status_code=500, detail=f"query failed: {e}")
+        raise HTTPException(status_code=500, detail=f"query failed: {e}")

app/services/feedback_service.py

@@ -0,0 +1,80 @@
+"""
+app/services/feedback_service.py
+Service zum Loggen von Suchanfragen und Feedback (WP-04c).
+Speichert Daten als JSONL für späteres Self-Tuning (WP-08).
+"""
+import json
+import os
+import time
+from pathlib import Path
+from typing import Dict, Any, List
+from app.models.dto import QueryRequest, QueryResponse, FeedbackRequest
+
+# Pfad für Logs (lokal auf dem Beelink/PC)
+LOG_DIR = Path("data/logs")
+SEARCH_LOG_FILE = LOG_DIR / "search_history.jsonl"
+FEEDBACK_LOG_FILE = LOG_DIR / "feedback.jsonl"
+
+def _ensure_log_dir():
+    if not LOG_DIR.exists():
+        os.makedirs(LOG_DIR, exist_ok=True)
+
+def log_search(req: QueryRequest, res: QueryResponse):
+    """
+    Speichert den "Snapshot" der Suche.
+    WICHTIG: Wir speichern die Scores (Breakdown), damit wir später wissen,
+    warum das System so entschieden hat.
+    """
+    _ensure_log_dir()
+    
+    # Wir reduzieren die Datenmenge etwas (z.B. keine vollen Texte)
+    hits_summary = []
+    for hit in res.results:
+        # Falls Explanation an war, speichern wir den Breakdown, sonst die Scores
+        breakdown = None
+        if hit.explanation and hit.explanation.breakdown:
+            breakdown = hit.explanation.breakdown.model_dump()
+            
+        hits_summary.append({
+            "node_id": hit.node_id,
+            "note_id": hit.note_id,
+            "total_score": hit.total_score,
+            "breakdown": breakdown, # Wichtig für Training!
+            "rank_semantic": hit.semantic_score,
+            "rank_edge": hit.edge_bonus
+        })
+
+    entry = {
+        "timestamp": time.time(),
+        "query_id": res.query_id,
+        "query_text": req.query,
+        "mode": req.mode,
+        "top_k": req.top_k,
+        "hits": hits_summary
+    }
+
+    try:
+        with open(SEARCH_LOG_FILE, "a", encoding="utf-8") as f:
+            f.write(json.dumps(entry, ensure_ascii=False) + "\n")
+    except Exception as e:
+        print(f"ERROR logging search: {e}")
+
+def log_feedback(fb: FeedbackRequest):
+    """
+    Speichert das User-Feedback.
+    """
+    _ensure_log_dir()
+    
+    entry = {
+        "timestamp": time.time(),
+        "query_id": fb.query_id,
+        "node_id": fb.node_id,
+        "score": fb.score,
+        "comment": fb.comment
+    }
+
+    try:
+        with open(FEEDBACK_LOG_FILE, "a", encoding="utf-8") as f:
+            f.write(json.dumps(entry, ensure_ascii=False) + "\n")
+    except Exception as e:
+        print(f"ERROR logging feedback: {e}")