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Deploy mindnet to llm-node / deploy (push) Successful in 4s
134 lines
3.6 KiB
Python
134 lines
3.6 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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from __future__ import annotations
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import json
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import os
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from collections import Counter, defaultdict
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from qdrant_client.http import models as rest
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from app.core.database.qdrant import QdrantConfig, get_client
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def _rel(pl: dict) -> str:
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return pl.get("relation") or pl.get("kind") or "edge"
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def _scroll(client, col):
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pts = []
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next_page = None
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while True:
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res, next_page = client.scroll(
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collection_name=col,
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with_payload=True,
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with_vectors=False,
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limit=1024,
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offset=next_page,
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)
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pts.extend(res)
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if next_page is None:
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break
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return pts
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def main():
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cfg = QdrantConfig.from_env()
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client = get_client(cfg)
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prefix = os.environ.get("COLLECTION_PREFIX", cfg.prefix)
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cols = {
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"notes": f"{prefix}_notes",
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"chunks": f"{prefix}_chunks",
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"edges": f"{prefix}_edges",
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}
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# Index: notes -> title/type
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notes_meta = {}
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for p in _scroll(client, cols["notes"]):
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pl = p.payload or {}
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nid = pl.get("note_id")
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if nid:
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notes_meta[nid] = {
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"title": pl.get("title", ""),
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"type": pl.get("type", ""),
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}
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# chunks je note
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chunks_by_note = defaultdict(int)
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for p in _scroll(client, cols["chunks"]):
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pl = p.payload or {}
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nid = pl.get("note_id")
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if nid:
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chunks_by_note[nid] += 1
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# edges je note
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edges_by_note = defaultdict(list)
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edges_all = _scroll(client, cols["edges"])
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for p in edges_all:
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pl = p.payload or {}
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nid = pl.get("note_id")
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if nid:
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edges_by_note[nid].append(pl)
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# pro note ausgeben
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summary_edges = Counter()
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total_chunks = 0
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for nid in sorted(notes_meta.keys()):
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meta = notes_meta[nid]
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chunks = chunks_by_note.get(nid, 0)
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total_chunks += chunks
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kinds = Counter(_rel(pl) for pl in edges_by_note[nid])
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summary_edges.update(kinds)
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row = {
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"note_id": nid,
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"title": meta["title"],
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"type": meta["type"],
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"chunks": chunks,
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"edges_by_kind": dict(kinds),
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"checks": {
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"belongs_to_equals_chunks": (kinds.get("belongs_to", 0) == chunks),
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"next_prev_match": (kinds.get("next", 0) == kinds.get("prev", 0) == max(0, chunks - 1)),
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"no_duplicate_edges": _no_dupes(edges_by_note[nid]),
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},
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}
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print(json.dumps(row, ensure_ascii=False))
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# Gesamtsummary
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total_notes = len(notes_meta)
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out = {
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"prefix": prefix,
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"summary": {
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"notes": total_notes,
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"chunks": total_chunks,
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"belongs_to": summary_edges.get("belongs_to", 0),
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"next": summary_edges.get("next", 0),
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"prev": summary_edges.get("prev", 0),
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"refs_chunk": summary_edges.get("references", 0),
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"refs_note": summary_edges.get("references_note", 0),
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"backlink": summary_edges.get("backlink", 0),
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"dup_edges": 0, # per-Note geprüft
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},
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}
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print(json.dumps(out, ensure_ascii=False))
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def _no_dupes(pls):
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seen = set()
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for pl in pls:
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key = (
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str(pl.get("source_id") or ""),
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str(pl.get("target_id") or ""),
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str(pl.get("relation") or pl.get("kind") or ""),
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str(pl.get("rule_id") or ""),
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)
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if key in seen:
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return False
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seen.add(key)
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return True
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if __name__ == "__main__":
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main()
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