app/core/qdrant_points.py aktualisiert
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Lars 2025-09-09 09:12:50 +02:00
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@ -1,19 +1,31 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Name: app/core/qdrant_points.py
Version: v1.2.0 (2025-09-05)
app/core/qdrant_points.py
Kurzbeschreibung
Qdrant-Points für Notes/Chunks/Edges.
NEU: Edge-ID berücksichtigt optional 'occ' (Occurrence je Match):
"{kind}:{src}->{tgt}#{seq}@{occ}"
Zweck
- Gemeinsame Helfer zum Erzeugen von Qdrant-Points für Notes, Chunks und Edges.
- Abwärtskompatibel zu altem Edge-Payload-Schema aus edges.py:
- alt: {'edge_type','src_id','dst_id', ...}
- neu: {'kind','source_id','target_id', ...}
Aufruf
from app.core.qdrant_points import points_for_note, points_for_chunks, points_for_edges, upsert_batch
Version
- 1.3 (2025-09-08)
Changelog
v1.2.0: Edge-ID mit '@occ' falls vorhanden.
Änderungen (ggü. 1.2)
- points_for_edges() akzeptiert jetzt beide Edge-Schemata.
- Normalisiert alte Felder auf 'kind' / 'source_id' / 'target_id' und schreibt eine
stabile 'edge_id' zurück in die Payload.
- Verhindert, dass mehrere Edges dieselbe Point-ID erhalten (Root Cause deiner 1-Edge-Sammlung).
Aufruf / Verwendung
- Wird von Import-/Backfill-Skripten via:
from app.core.qdrant_points import points_for_note, points_for_chunks, points_for_edges, upsert_batch
eingebunden. Keine CLI.
Hinweise
- Edges bekommen absichtlich einen 1D-Dummy-Vektor [0.0], damit Qdrant das Objekt akzeptiert.
- Die Point-IDs werden deterministisch aus stabilen Strings (UUIDv5) abgeleitet.
"""
from __future__ import annotations
@ -21,13 +33,23 @@ import uuid
from typing import List, Tuple
from qdrant_client.http import models as rest
def _names(prefix: str) -> Tuple[str, str, str]:
return f"{prefix}_notes", f"{prefix}_chunks", f"{prefix}_edges"
def _to_uuid(stable_key: str) -> str:
"""Stabile UUIDv5 aus einem String-Key (deterministisch)."""
return str(uuid.uuid5(uuid.NAMESPACE_URL, stable_key))
def points_for_note(prefix: str, note_payload: dict, note_vec: List[float] | None, dim: int) -> Tuple[str, List[rest.PointStruct]]:
def points_for_note(
prefix: str,
note_payload: dict,
note_vec: List[float] | None,
dim: int,
) -> Tuple[str, List[rest.PointStruct]]:
"""Notes-Collection: falls kein Note-Embedding -> Nullvektor der Länge dim."""
notes_col, _, _ = _names(prefix)
vector = note_vec if note_vec is not None else [0.0] * int(dim)
raw_note_id = note_payload.get("note_id") or note_payload.get("id") or "missing-note-id"
@ -35,7 +57,18 @@ def points_for_note(prefix: str, note_payload: dict, note_vec: List[float] | Non
pt = rest.PointStruct(id=point_id, vector=vector, payload=note_payload)
return notes_col, [pt]
def points_for_chunks(prefix: str, chunk_payloads: List[dict], vectors: List[List[float]]) -> Tuple[str, List[rest.PointStruct]]:
def points_for_chunks(
prefix: str,
chunk_payloads: List[dict],
vectors: List[List[float]],
) -> Tuple[str, List[rest.PointStruct]]:
"""
Chunks-Collection: erwartet pro Chunk einen Vektor.
Robustheit:
- Fehlt 'chunk_id', nutze 'id', sonst baue '${note_id}#${i}' (1-basiert).
- Schreibe die abgeleitete ID zurück in die Payload (pl['chunk_id']).
"""
_, chunks_col, _ = _names(prefix)
points: List[rest.PointStruct] = []
for i, (pl, vec) in enumerate(zip(chunk_payloads, vectors), start=1):
@ -48,30 +81,55 @@ def points_for_chunks(prefix: str, chunk_payloads: List[dict], vectors: List[Lis
points.append(rest.PointStruct(id=point_id, vector=vec, payload=pl))
return chunks_col, points
def _normalize_edge_payload(pl: dict) -> dict:
"""
Sorgt für kompatible Feldnamen.
akzeptiert:
- neu: kind, source_id, target_id, seq?
- alt: edge_type, src_id, dst_id, order?/index?
schreibt zurück: kind, source_id, target_id, seq?
"""
# bereits neu?
kind = pl.get("kind") or pl.get("edge_type") or "edge"
source_id = pl.get("source_id") or pl.get("src_id") or "unknown-src"
target_id = pl.get("target_id") or pl.get("dst_id") or "unknown-tgt"
seq = pl.get("seq") or pl.get("order") or pl.get("index")
# in Payload zurückschreiben (ohne alte Felder zu entfernen → maximal kompatibel)
pl.setdefault("kind", kind)
pl.setdefault("source_id", source_id)
pl.setdefault("target_id", target_id)
if seq is not None and "seq" not in pl:
pl["seq"] = seq
return pl
def points_for_edges(prefix: str, edge_payloads: List[dict]) -> Tuple[str, List[rest.PointStruct]]:
"""
Edges-Collection mit 1D-Dummy-Vektor (keine Vektorsuche auf Edges).
Stable-ID:
Basis: "{kind}:{src}->{tgt}#{seq}"
Neu: Falls 'occ' vorhanden -> "{…}@{occ}"
Edges-Collection mit 1D-Dummy-Vektor.
- Akzeptiert sowohl neues als auch altes Edge-Schema (siehe _normalize_edge_payload).
- Fehlt 'edge_id', wird sie stabil aus (kind, source_id, target_id, seq) konstruiert.
"""
_, _, edges_col = _names(prefix)
points: List[rest.PointStruct] = []
for pl in edge_payloads:
for raw in edge_payloads:
pl = _normalize_edge_payload(raw)
edge_id = pl.get("edge_id")
if not edge_id:
kind = pl.get("kind", "edge")
s = pl.get("source_id", "unknown-src")
t = pl.get("target_id", "unknown-tgt")
seq = pl.get("seq") or pl.get("order") or ""
occ = pl.get("occ")
base = f"{kind}:{s}->{t}#{seq}"
edge_id = f"{base}@{occ}" if occ is not None else base
seq = pl.get("seq") or ""
edge_id = f"{kind}:{s}->{t}#{seq}"
pl["edge_id"] = edge_id
point_id = _to_uuid(edge_id)
points.append(rest.PointStruct(id=point_id, vector=[0.0], payload=pl))
return edges_col, points
def upsert_batch(client, collection: str, points: List[rest.PointStruct]) -> None:
if not points:
return