scripts/import_markdown.py aktualisiert
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@ -1,46 +1,43 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Script: import_markdown.py — Markdown → Qdrant (Notes, Chunks, Edges)
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Version: 3.3.1
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Script: scripts/import_markdown.py — Markdown → Qdrant (Notes, Chunks, Edges)
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Version: 3.4.1
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Datum: 2025-09-09
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Kurzbeschreibung
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----------------
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- Liest Markdown-Dateien ein, erzeugt Notes/Chunks/Edges idempotent.
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- Change-Detection über Body-Hash (CLI/ENV steuerbar).
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- Edges werden zentral über app.core.edges.build_edges_for_note erzeugt
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(neues Schema; plus note_id als Owner).
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- Legt bei Start sinnvolle Payload-Indizes in Qdrant an.
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- Liest Markdown-Dateien ein, erzeugt Notes/Chunks/Edges **idempotent**.
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- Change-Detection (nur **Inhalte**, keine FS-Zeitstempel) konfigurierbar:
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* ``--hash-mode``: body | frontmatter | body+frontmatter | full (Alias)
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- Env: ``MINDNET_HASH_MODE`` **oder** ``MINDNET_HASH_COMPARE`` (Body/Frontmatter/Full)
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* ``--hash-normalize``: canonical | none (Default: canonical)
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* ``--hash-source``: parsed (Default) | raw
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- "raw" hasht den **ungeparsten** Body aus der Datei (Frontmatter vorher entfernt).
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- Optionales Diff-Logging: ``--debug-hash-diff`` zeigt bei Bedarf einen kompakten Diff.
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ENV / Qdrant
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------------
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- QDRANT_URL | QDRANT_HOST/QDRANT_PORT | QDRANT_API_KEY
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- COLLECTION_PREFIX (Default: mindnet)
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- VECTOR_DIM (Default: 384)
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- MINDNET_HASH_MODE: "body" | "frontmatter" | "body+frontmatter" (Default: body)
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- MINDNET_HASH_NORMALIZE: "canonical" | "none" (Default: canonical)
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- MINDNET_NOTE_SCOPE_REFS: "true"|"false" (Default: false)
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CLI (übersteuert ENV)
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---------------------
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--hash-mode body|frontmatter|body+frontmatter
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--hash-normalize canonical|none
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--note-scope-refs
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- MINDNET_NOTE_SCOPE_REFS: true|false (Default: false)
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Aufruf
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------
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python3 -m scripts.import_markdown --vault ./vault --apply
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python3 -m scripts.import_markdown --vault ./vault --apply --purge-before-upsert
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python3 -m scripts.import_markdown --vault ./vault --apply --hash-normalize none
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python3 -m scripts.import_markdown --vault ./vault
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python3 -m scripts.import_markdown --vault ./vault --apply
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python3 -m scripts.import_markdown --vault ./vault --apply --hash-source raw --hash-normalize none
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MINDNET_HASH_COMPARE=Full python3 -m scripts.import_markdown --vault ./vault --apply
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"""
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from __future__ import annotations
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import argparse
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import difflib
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import json
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import os
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import sys
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from typing import List, Tuple, Optional
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from typing import Dict, List, Optional, Tuple
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from dotenv import load_dotenv
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from qdrant_client.http import models as rest
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@ -68,15 +65,14 @@ from app.core.qdrant_points import (
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)
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try:
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from app.core.embed import embed_texts, embed_one # optional
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from app.core.embed import embed_texts # optional
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except Exception:
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embed_texts = None
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embed_one = None
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# -----------------------------
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# Utils
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# -----------------------------
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# ---------------------------------------------------------------------
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# Helpers
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# ---------------------------------------------------------------------
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def iter_md(root: str) -> List[str]:
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out: List[str] = []
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@ -94,11 +90,9 @@ def iter_md(root: str) -> List[str]:
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def collections(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 fetch_existing_note_hash(client, prefix: str, note_id: str) -> Optional[str]:
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def fetch_existing_note_payload(client, prefix: str, note_id: str) -> Optional[Dict]:
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notes_col, _, _ = collections(prefix)
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f = rest.Filter(must=[rest.FieldCondition(
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key="note_id", match=rest.MatchValue(value=note_id)
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)])
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f = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
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points, _ = client.scroll(
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collection_name=notes_col,
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scroll_filter=f,
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@ -108,7 +102,14 @@ def fetch_existing_note_hash(client, prefix: str, note_id: str) -> Optional[str]
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)
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if not points:
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return None
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return (points[0].payload or {}).get("hash_fulltext")
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return points[0].payload or {}
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def purge_note_artifacts(client, prefix: str, note_id: str) -> None:
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_, chunks_col, edges_col = collections(prefix)
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f_chunks = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
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client.delete(collection_name=chunks_col, points_selector=f_chunks, wait=True)
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f_edges = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
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client.delete(collection_name=edges_col, points_selector=f_edges, wait=True)
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def _normalize_rel_path(abs_path: str, vault_root: str) -> str:
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try:
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@ -118,9 +119,9 @@ def _normalize_rel_path(abs_path: str, vault_root: str) -> str:
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return rel.replace("\\", "/").lstrip("/")
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# -----------------------------
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# ---------------------------------------------------------------------
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# Main
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# -----------------------------
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# ---------------------------------------------------------------------
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def main() -> None:
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load_dotenv()
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@ -133,19 +134,25 @@ def main() -> None:
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ap.add_argument("--embed-note", action="store_true", help="Optional: Note-Volltext einbetten")
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ap.add_argument("--force-replace", action="store_true",
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help="Änderungserkennung ignorieren und immer upserten (+ optional Purge)")
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ap.add_argument("--hash-mode", choices=["body", "frontmatter", "body+frontmatter"], default=None)
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ap.add_argument("--hash-mode", choices=["body", "frontmatter", "body+frontmatter", "full"], default=None,
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help="Vergleichsmodus: Body | Frontmatter | body+frontmatter (Alias: full)")
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ap.add_argument("--hash-normalize", choices=["canonical", "none"], default=None)
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ap.add_argument("--hash-source", choices=["parsed", "raw"], default=None,
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help="Quelle für die Hash-Berechnung (Default: parsed)")
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ap.add_argument("--note-scope-refs", action="store_true",
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help="(Optional) erzeugt zusätzlich references:note (Default: aus)")
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ap.add_argument("--debug-hash-diff", action="store_true",
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help="Zeigt bei Bedarf einen kurzen Diff zwischen altem und neuem Body")
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args = ap.parse_args()
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note_scope_refs_env = (os.environ.get("MINDNET_NOTE_SCOPE_REFS", "false").strip().lower() == "true")
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note_scope_refs = args.note_scope_refs or note_scope_refs_env
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note_scope_refs = args.note_sCope_refs if hasattr(args, "note_sCope_refs") else args.note_scope_refs # defensive
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note_scope_refs = note_scope_refs or note_scope_refs_env
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cfg = QdrantConfig.from_env()
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client = get_client(cfg)
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ensure_collections(client, cfg.prefix, cfg.dim)
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ensure_payload_indexes(client, cfg.prefix) # <— Neu: Indizes
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ensure_payload_indexes(client, cfg.prefix)
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root = os.path.abspath(args.vault)
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files = iter_md(root)
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@ -169,9 +176,16 @@ def main() -> None:
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processed += 1
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# Note-Payload inkl. Hash-Steuerung (per CLI/ENV)
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note_pl = make_note_payload(parsed, vault_root=root,
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hash_mode=args.hash_mode, hash_normalize=args.hash_normalize) # type: ignore[arg-type]
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# Note-Payload (inkl. Hash-Steuerung & Quelle)
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note_pl = make_note_payload(
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parsed,
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vault_root=root,
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hash_mode=args.hash_mode,
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hash_normalize=args.hash_normalize,
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hash_source=args.hash_source,
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file_path=path,
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)
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if "fulltext" not in (note_pl or {}):
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note_pl["fulltext"] = parsed.body or ""
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if note_pl.get("path"):
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note_id = note_pl["note_id"]
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# Change-Detection
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# Change-Detection (nur Inhalte, keine FS-Timestamps)
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old_payload = None if args.force_replace else fetch_existing_note_payload(client, cfg.prefix, note_id)
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old_hash = None if not old_payload else old_payload.get("hash_fulltext")
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new_hash = note_pl.get("hash_fulltext")
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old_hash = None if args.force_replace else fetch_existing_note_hash(client, cfg.prefix, note_id)
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changed = args.force_replace or (old_hash != new_hash)
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# Optionales Debugging: kompakten Diff anzeigen
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if args.debug_hash_diff:
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old_text = (old_payload or {}).get("fulltext") or ""
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new_text = note_pl.get("fulltext") or ""
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# Wenn Hash gleich, aber Text verschieden → Hinweis auf Normalisierung/Quelle
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if (old_hash == new_hash) and old_text != new_text:
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print(json.dumps({
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"debug": "hash_equal_but_text_differs",
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"note_id": note_id,
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"hash_mode": args.hash_mode or os.environ.get("MINDNET_HASH_MODE") or os.environ.get("MINDNET_HASH_COMPARE", "body"),
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"hash_normalize": args.hash_normalize or os.environ.get("MINDNET_HASH_NORMALIZE", "canonical"),
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"hash_source": args.hash_source or os.environ.get("MINDNET_HASH_SOURCE", "parsed"),
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}, ensure_ascii=False))
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if old_text and new_text:
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ud = list(difflib.unified_diff(
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old_text.splitlines(), new_text.splitlines(),
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fromfile="qdrant_fulltext(old)", tofile="vault_body(new)",
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n=3
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))
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if ud:
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preview = "\n".join(ud[:50])
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print(json.dumps({"note_id": note_id, "diff_preview": preview}, ensure_ascii=False))
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# Chunks + Embeddings (Nullvektor-Fallback)
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chunks = assemble_chunks(fm["id"], parsed.body, fm.get("type", "concept"))
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chunk_pls = make_chunk_payloads(fm, note_pl["path"], chunks)
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else:
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vecs = [[0.0] * cfg.dim for _ in chunks]
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# Edges (nur NEUES Schema, mit note_id als Owner)
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# Edges (neues Schema, mit note_id als Owner)
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note_refs = note_pl.get("references") or []
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edges = build_edges_for_note(
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note_id,
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include_note_scope_refs=note_scope_refs,
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)
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# Zusammenfassung
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# Zusammenfassung pro Datei
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summary = {
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"note_id": note_id,
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"title": fm.get("title"),
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"apply-skip-unchanged" if args.apply and not changed else
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"dry-run"),
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"path": note_pl["path"],
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"hash_mode": args.hash_mode or os.environ.get("MINDNET_HASH_MODE", "body"),
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"hash_mode": args.hash_mode or os.environ.get("MINDNET_HASH_MODE") or os.environ.get("MINDNET_HASH_COMPARE", "body"),
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"hash_normalize": args.hash_normalize or os.environ.get("MINDNET_HASH_NORMALIZE", "canonical"),
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"note_scope_refs": note_scope_refs,
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"hash_source": args.hash_source or os.environ.get("MINDNET_HASH_SOURCE", "parsed"),
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}
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print(json.dumps(summary, ensure_ascii=False))
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continue
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if changed and args.purge_before_upsert:
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# gezieltes Löschen: jetzt performant per note_id-Index
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_, chunks_col, edges_col = collections(cfg.prefix)
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f_chunks = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
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client.delete(collection_name=chunks_col, points_selector=f_chunks, wait=True)
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f_edges = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
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client.delete(collection_name=edges_col, points_selector=f_edges, wait=True)
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purge_note_artifacts(client, cfg.prefix, note_id)
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# Upsert Notes / Chunks / Edges
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# Upserts
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notes_name, note_pts = points_for_note(cfg.prefix, note_pl, None, cfg.dim)
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upsert_batch(client, notes_name, note_pts)
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