152 lines
4.2 KiB
Python
152 lines
4.2 KiB
Python
"""
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app/models/dto.py — Pydantic-Modelle (DTOs) für WP-04/WP-05 Endpunkte
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Zweck:
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Laufzeit-Modelle für FastAPI (Requests/Responses).
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WP-05 Update: Chat-Modelle.
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Version:
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0.4.0 (Update für WP-05 Chat)
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Stand:
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2025-12-08
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"""
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from __future__ import annotations
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from pydantic import BaseModel, Field
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from typing import List, Literal, Optional, Dict, Any
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import uuid
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EdgeKind = Literal["references", "references_at", "backlink", "next", "prev", "belongs_to", "depends_on", "related_to", "similar_to"]
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# --- Basis-DTOs ---
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class NodeDTO(BaseModel):
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"""Darstellung eines Knotens (Note oder Chunk) im API-Graph."""
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id: str
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type: Literal["note", "chunk"]
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title: Optional[str] = None
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note_id: Optional[str] = None
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tags: Optional[List[str]] = None
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in_degree: Optional[int] = None
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out_degree: Optional[int] = None
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score: Optional[float] = None
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section_title: Optional[str] = None
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section_path: Optional[str] = None
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path: Optional[str] = None
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class EdgeDTO(BaseModel):
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"""Darstellung einer Kante im API-Graph."""
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id: str
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kind: str
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source: str
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target: str
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weight: float
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direction: Literal["out", "in", "undirected"] = "out"
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# --- Request Models ---
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class QueryRequest(BaseModel):
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"""
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Request für /query.
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"""
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mode: Literal["semantic", "edge", "hybrid"] = "hybrid"
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query: Optional[str] = None
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query_vector: Optional[List[float]] = None
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top_k: int = 10
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expand: Dict = {"depth": 1, "edge_types": ["references", "belongs_to", "prev", "next", "depends_on", "related_to"]}
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filters: Optional[Dict] = None
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ret: Dict = {"with_paths": True, "with_notes": True, "with_chunks": True}
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explain: bool = False
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class FeedbackRequest(BaseModel):
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"""
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User-Feedback zu einem spezifischen Treffer.
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"""
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query_id: str = Field(..., description="ID der ursprünglichen Suche")
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node_id: str = Field(..., description="ID des bewerteten Treffers")
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score: int = Field(..., ge=0, le=1, description="1 (Positiv) oder 0 (Negativ/Irrelevant)")
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comment: Optional[str] = None
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class ChatRequest(BaseModel):
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"""
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WP-05: Request für /chat.
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"""
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message: str = Field(..., description="Die Nachricht des Users")
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conversation_id: Optional[str] = Field(None, description="Optional: ID für Chat-Verlauf (noch nicht implementiert)")
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# RAG Parameter (Override defaults)
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top_k: int = 5
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explain: bool = False
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# --- WP-04b Explanation Models ---
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class ScoreBreakdown(BaseModel):
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"""Aufschlüsselung der Score-Komponenten."""
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semantic_contribution: float
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edge_contribution: float
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centrality_contribution: float
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raw_semantic: float
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raw_edge_bonus: float
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raw_centrality: float
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node_weight: float
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class Reason(BaseModel):
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"""Ein semantischer Grund für das Ranking."""
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kind: Literal["semantic", "edge", "type", "centrality"]
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message: str
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score_impact: Optional[float] = None
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details: Optional[Dict[str, Any]] = None
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class Explanation(BaseModel):
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"""Container für alle Erklärungsdaten eines Treffers."""
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breakdown: ScoreBreakdown
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reasons: List[Reason]
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related_edges: Optional[List[EdgeDTO]] = None
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# --- Response Models ---
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class QueryHit(BaseModel):
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"""Einzelnes Trefferobjekt für /query."""
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node_id: str
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note_id: Optional[str]
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semantic_score: float
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edge_bonus: float
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centrality_bonus: float
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total_score: float
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paths: Optional[List[List[Dict]]] = None
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source: Optional[Dict] = None
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explanation: Optional[Explanation] = None
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class QueryResponse(BaseModel):
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"""Antwortstruktur für /query."""
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query_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
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results: List[QueryHit]
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used_mode: str
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latency_ms: int
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class GraphResponse(BaseModel):
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"""Antwortstruktur für /graph/{note_id}."""
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center_note_id: str
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nodes: List[NodeDTO]
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edges: List[EdgeDTO]
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stats: Dict[str, int]
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class ChatResponse(BaseModel):
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"""
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WP-05: Antwortstruktur für /chat.
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"""
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query_id: str = Field(..., description="Traceability ID (dieselbe wie für Search)")
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answer: str = Field(..., description="Generierte Antwort vom LLM")
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sources: List[QueryHit] = Field(..., description="Die für die Antwort genutzten Quellen")
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latency_ms: int |