""" 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) und WP-04c (Feedback). Kompatibilität: Python 3.12+, Pydantic 2.x, FastAPI 0.110+ Version: 0.3.0 (Update für WP-04c Feedback) Stand: 2025-12-07 """ 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 type: Literal["note", "chunk"] title: Optional[str] = None note_id: Optional[str] = None tags: Optional[List[str]] = None in_degree: Optional[int] = None out_degree: Optional[int] = None score: Optional[float] = None section_title: Optional[str] = None section_path: Optional[str] = None path: Optional[str] = None class EdgeDTO(BaseModel): """Darstellung einer Kante im API-Graph.""" id: str kind: str # String statt Literal, um flexibel für Custom-Types zu bleiben source: str target: str weight: float direction: Literal["out", "in", "undirected"] = "out" # --- Request Models --- class QueryRequest(BaseModel): """ Request für /query: - mode: 'semantic' | 'edge' | 'hybrid' - query: (optional) Freitext - query_vector: (optional) direkter Vektor - explain: (optional) Fordert detaillierte Erklärungen an (WP-04b) """ mode: Literal["semantic", "edge", "hybrid"] = "hybrid" query: Optional[str] = None query_vector: Optional[List[float]] = None top_k: int = 10 expand: Dict = {"depth": 1, "edge_types": ["references", "belongs_to", "prev", "next", "depends_on", "related_to"]} filters: Optional[Dict] = None ret: Dict = {"with_paths": True, "with_notes": True, "with_chunks": True} 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.""" 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 raw_semantic: float raw_edge_bonus: float raw_centrality: float node_weight: float = Field(..., description="Typ-Gewicht (retriever_weight)") class Reason(BaseModel): """Ein semantischer Grund für das Ranking.""" kind: Literal["semantic", "edge", "type", "centrality"] message: str score_impact: Optional[float] = None details: Optional[Dict[str, Any]] = None class Explanation(BaseModel): """Container für alle Erklärungsdaten eines Treffers.""" breakdown: ScoreBreakdown reasons: List[Reason] related_edges: Optional[List[EdgeDTO]] = None # --- Response Models --- class QueryHit(BaseModel): """Einzelnes Trefferobjekt für /query.""" node_id: str note_id: Optional[str] # Flache Scores semantic_score: float edge_bonus: float centrality_bonus: float total_score: float paths: Optional[List[List[Dict]]] = None source: Optional[Dict] = None # WP-04b: Erklärungsobjekt explanation: Optional[Explanation] = None class QueryResponse(BaseModel): """ 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}.""" center_note_id: str nodes: List[NodeDTO] edges: List[EdgeDTO] stats: Dict[str, int]