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