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105 lines
2.7 KiB
Python
105 lines
2.7 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Kleine Diagnosehilfe für mindnet_edges.
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Nutzung (aus Projektwurzel):
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(.venv) python tests/diag_edges_for_note.py \
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--note-id 20251130-relshow-embeddings-101
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Optional:
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--prefix mindnet
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Ziel:
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- Zeigt alle Edges aus der Collection <prefix>_edges,
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die sich auf die angegebene note_id beziehen:
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* note_id == NOTE
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* oder source_id == NOTE
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* oder target_id == NOTE
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"""
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from __future__ import annotations
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import argparse
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import os
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import sys
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from typing import List
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# Projekt-Root (Ordner mit "app/") zum sys.path hinzufügen,
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# damit "import app.core.qdrant" funktioniert, auch wenn das Script
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# direkt aus tests/ gestartet wird.
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THIS_DIR = os.path.dirname(os.path.abspath(__file__))
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PROJECT_ROOT = os.path.dirname(THIS_DIR)
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if PROJECT_ROOT not in sys.path:
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sys.path.insert(0, PROJECT_ROOT)
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from qdrant_client.http import models as rest # type: ignore
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from app.core.database.qdrant import QdrantConfig, get_client, collection_names
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def fetch_edges_for_note(note_id: str, prefix: str | None, limit: int = 512) -> List[dict]:
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cfg = QdrantConfig.from_env()
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if prefix:
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cfg.prefix = prefix
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client = get_client(cfg)
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_, _, edges_col = collection_names(cfg.prefix)
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conditions = []
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for field in ("note_id", "source_id", "target_id"):
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conditions.append(
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rest.FieldCondition(
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key=field,
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match=rest.MatchValue(value=str(note_id)),
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)
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)
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flt = rest.Filter(
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should=conditions,
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)
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points, _ = client.scroll(
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collection_name=edges_col,
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scroll_filter=flt,
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with_payload=True,
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with_vectors=False,
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limit=limit,
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)
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out: List[dict] = []
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for p in points or []:
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pl = dict(p.payload or {})
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if pl:
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out.append(pl)
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return out
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def main() -> None:
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parser = argparse.ArgumentParser()
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parser.add_argument("--note-id", required=True, help="Note-ID, z. B. 20251130-relshow-embeddings-101")
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parser.add_argument("--prefix", default=None, help="Qdrant-Prefix (Default: aus ENV/QdrantConfig)")
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args = parser.parse_args()
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note_id = args.note_id
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prefix = args.prefix
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edges = fetch_edges_for_note(note_id, prefix)
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print(f"Prefix: {prefix or '(aus ENV)'}")
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print(f"Note-ID: {note_id}")
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print(f"Gefundene Edges: {len(edges)}")
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print("-" * 60)
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for i, e in enumerate(edges, start=1):
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print(f"[{i}] kind={e.get('kind')} confidence={e.get('confidence')}")
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print(f" note_id = {e.get('note_id')}")
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print(f" source_id= {e.get('source_id')}")
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print(f" target_id= {e.get('target_id')}")
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print()
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if __name__ == "__main__":
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main()
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