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"""
app/core/graph_adapter.py Adjazenzaufbau & Subgraph-Expansion (WP-04)
Zweck:
Baut aus Qdrant-Edges (Collection: *_edges) einen leichten In-Memory-Graph
und liefert Edge-basierte Kennzahlen (In-Degree, Out-Degree, edge_bonus).
Kompatibilität:
Python 3.12+, qdrant-client 1.x
Version:
0.1.0 (Erstanlage)
Stand:
2025-10-07
Bezug:
- WP-04 Edge-Gewichtungen und Heuristiken
- app/core/qdrant_points.py (get_edges_for_sources)
Nutzung:
from app.core.graph_adapter import expand
Änderungsverlauf:
0.1.0 (2025-10-07) Erstanlage.
"""
from __future__ import annotations
from typing import Dict, List, Optional, DefaultDict
from collections import defaultdict
from qdrant_client import QdrantClient
from app.core.qdrant_points import get_edges_for_sources
EDGE_BASE_WEIGHTS = {
"references": 0.20,
"belongs_to": 0.10,
"next": 0.06,
"prev": 0.06,
"backlink": 0.04,
"references_at": 0.08,
}
class Subgraph:
"""Leichtgewichtiger Subgraph mit Adjazenzlisten & einfachen Kennzahlen."""
def __init__(self):
self.adj: DefaultDict[str, List[Dict]] = defaultdict(list)
self.in_degree: DefaultDict[str, int] = defaultdict(int)
self.out_degree: DefaultDict[str, int] = defaultdict(int)
def add_edge(self, e: Dict):
src = e["source"]; tgt = e["target"]; kind = e["kind"]
weight = e.get("weight", EDGE_BASE_WEIGHTS.get(kind, 0.0))
self.adj[src].append({"target": tgt, "kind": kind, "weight": weight})
self.out_degree[src] += 1
self.in_degree[tgt] += 1
def aggregate_edge_bonus(self, node_id: str) -> float:
return sum(edge["weight"] for edge in self.adj.get(node_id, []))
def centrality_bonus(self, node_id: str) -> float:
import math
# Log-gedämpfter Bonus, hart begrenzt
return min(math.log1p(self.in_degree.get(node_id, 0)) / 10.0, 0.15)
def expand(client: QdrantClient, prefix: str, seeds: List[str],
depth: int = 1, edge_types: Optional[List[str]] = None) -> Subgraph:
"""
Expandiert ab Seeds entlang von Edges (bis depth), optional gefiltert nach Typen.
Seeds sind stabile payload-IDs (z. B. note_id, chunk_id).
"""
sg = Subgraph()
frontier = set(seeds)
visited = set()
for _ in range(max(depth, 0)):
if not frontier:
break
edges = get_edges_for_sources(client, prefix, list(frontier), edge_types=edge_types, limit=2048)
next_frontier = set()
for pl in edges:
e = {
"source": pl.get("source_id"),
"target": pl.get("target_id"),
"kind": pl.get("kind", "edge"),
"weight": pl.get("weight", EDGE_BASE_WEIGHTS.get(pl.get("kind", "edge"), 0.0)),
}
sg.add_edge(e)
if e["target"]:
next_frontier.add(e["target"])
visited |= frontier
frontier = next_frontier - visited
return sg