#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Script: scripts/import_markdown.py — Markdown → Qdrant (Notes, Chunks, Edges) Version: 3.6.2 Datum: 2025-09-09 Kurzbeschreibung ---------------- - Liest Markdown-Dateien ein und erzeugt Notes/Chunks/Edges **idempotent**. - Robuste Änderungserkennung: Mehrfach-Hashes werden parallel in der Note gespeichert (Option C). Vergleich erfolgt **modusgenau** anhand von `hashes[::]`. Ein Wechsel des Vergleichsmodus führt so **nicht** zu Massenänderungen. - **Fix (v3.6.2):** Bei **erstem Import** (kein Alt-Payload) wird die Note als **geändert** behandelt → Create (Notes/Chunks/Edges) findet zuverlässig statt. - Baseline-Modus: Mit `--baseline-modes` werden **fehlende** Hash-Varianten im Feld `hashes` „still“ nachgetragen (Upsert NUR Notes; Legacy-Hashfelder bleiben unangetastet). Konfiguration Hash/Compare -------------------------- - Vergleichsmodus: `--hash-mode body|frontmatter|full` - oder ENV: `MINDNET_HASH_MODE` / `MINDNET_HASH_COMPARE` (Body|Frontmatter|Full) - Quelle: `--hash-source parsed|raw` (ENV: `MINDNET_HASH_SOURCE`, Default parsed) - Normalisierung: `--hash-normalize canonical|none` (ENV: `MINDNET_HASH_NORMALIZE`, Default canonical) - Optional: `--compare-text` (oder `MINDNET_COMPARE_TEXT=true`) vergleicht zusätzlich den parsed Body-Text direkt. Weitere ENV / Qdrant -------------------- - QDRANT_URL | QDRANT_HOST/QDRANT_PORT | QDRANT_API_KEY - COLLECTION_PREFIX (Default: mindnet) - VECTOR_DIM (Default: 384) - MINDNET_NOTE_SCOPE_REFS: true|false (Default: false) Aufruf-Beispiele ---------------- # Standard (Body, parsed, canonical) python3 -m scripts.import_markdown --vault ./vault # Baseline (füllt hashes für parsed:canonical Tripel „still“ auf) MINDNET_HASH_SOURCE=parsed MINDNET_HASH_NORMALIZE=canonical \ python3 -m scripts.import_markdown --vault ./vault --apply --baseline-modes # Frontmatter-Vergleich ohne Massenänderungen (nach Baseline) MINDNET_HASH_COMPARE=Frontmatter \ python3 -m scripts.import_markdown --vault ./vault # Sehr sensibel (raw + none) und direkten Textvergleich python3 -m scripts.import_markdown --vault ./vault --apply --hash-source raw --hash-normalize none --compare-text """ from __future__ import annotations import argparse import difflib import json import os import sys from typing import Dict, List, Optional, Tuple, Any from collections.abc import Mapping from dotenv import load_dotenv from qdrant_client.http import models as rest from app.core.parser import ( read_markdown, normalize_frontmatter, validate_required_frontmatter, ) from app.core.note_payload import make_note_payload from app.core.chunker import assemble_chunks from app.core.chunk_payload import make_chunk_payloads from app.core.edges import build_edges_for_note from app.core.qdrant import ( QdrantConfig, get_client, ensure_collections, ensure_payload_indexes, ) from app.core.qdrant_points import ( points_for_chunks, points_for_note, points_for_edges, upsert_batch, ) try: from app.core.embed import embed_texts # optional except Exception: embed_texts = None # --------------------------------------------------------------------- # Helpers # --------------------------------------------------------------------- def iter_md(root: str) -> List[str]: out: List[str] = [] for dirpath, _, filenames in os.walk(root): for fn in filenames: if not fn.lower().endswith(".md"): continue p = os.path.join(dirpath, fn) pn = p.replace("\\", "/") if any(ex in pn for ex in ["/.obsidian/", "/_backup_frontmatter/", "/_imported/"]): continue out.append(p) return sorted(out) def collections(prefix: str) -> Tuple[str, str, str]: return f"{prefix}_notes", f"{prefix}_chunks", f"{prefix}_edges" def fetch_existing_note_payload(client, prefix: str, note_id: str) -> Optional[Dict]: notes_col, _, _ = collections(prefix) f = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))]) points, _ = client.scroll( collection_name=notes_col, scroll_filter=f, with_payload=True, with_vectors=False, limit=1, ) if not points: return None return points[0].payload or {} def purge_note_artifacts(client, prefix: str, note_id: str) -> None: """ Löscht alle Chunks & Edges zu einer Note mittels Filter-Selector (kompatibel mit aktuellen Qdrant-Clients). """ _, chunks_col, edges_col = collections(prefix) filt = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))]) try: client.delete( collection_name=chunks_col, points_selector=rest.FilterSelector(filter=filt), wait=True ) except Exception as e: print(json.dumps({"note_id": note_id, "warn": f"delete chunks via filter failed: {e}"})) try: client.delete( collection_name=edges_col, points_selector=rest.FilterSelector(filter=filt), wait=True ) except Exception as e: print(json.dumps({"note_id": note_id, "warn": f"delete edges via filter failed: {e}"})) def _normalize_rel_path(abs_path: str, vault_root: str) -> str: try: rel = os.path.relpath(abs_path, vault_root) except Exception: rel = abs_path return rel.replace("\\", "/").lstrip("/") def _resolve_mode(val: Optional[str]) -> str: v = (val or os.environ.get("MINDNET_HASH_MODE") or os.environ.get("MINDNET_HASH_COMPARE") or "body").strip().lower() if v in ("full", "fulltext", "body+frontmatter", "bodyplusfrontmatter"): return "full" if v in ("frontmatter", "fm"): return "frontmatter" return "body" def _env(key: str, default: str) -> str: return (os.environ.get(key) or default).strip().lower() # --------------------------------------------------------------------- # Main # --------------------------------------------------------------------- def main() -> None: load_dotenv() ap = argparse.ArgumentParser() ap.add_argument("--vault", required=True, help="Pfad zum Obsidian-Vault (Root-Ordner)") ap.add_argument("--apply", action="store_true", help="Schreibt in Qdrant; ohne Flag nur Dry-Run") ap.add_argument("--purge-before-upsert", action="store_true", help="Vor Upsert Chunks & Edges der GEÄNDERTEN Note löschen") ap.add_argument("--note-id", help="Nur eine bestimmte Note-ID verarbeiten") ap.add_argument("--embed-note", action="store_true", help="Optional: Note-Volltext einbetten") ap.add_argument("--force-replace", action="store_true", help="Änderungserkennung ignorieren und immer upserten (+ optional Purge)") ap.add_argument("--hash-mode", choices=["body", "frontmatter", "full"], default=None, help="Vergleichsmodus (Body | Frontmatter | Full)") ap.add_argument("--hash-normalize", choices=["canonical", "none"], default=None) ap.add_argument("--hash-source", choices=["parsed", "raw"], default=None, help="Quelle für die Hash-Berechnung (Default: parsed)") ap.add_argument("--note-scope-refs", action="store_true", help="(Optional) erzeugt zusätzlich references:note (Default: aus)") ap.add_argument("--debug-hash-diff", action="store_true", help="Zeigt einen kurzen Diff zwischen altem und neuem Body") ap.add_argument("--compare-text", action="store_true", help="Parsed fulltext zusätzlich direkt vergleichen (über Hash hinaus)") ap.add_argument("--baseline-modes", action="store_true", help="Fehlende Hash-Varianten im Feld 'hashes' still nachtragen (Upsert NUR Notes)") args = ap.parse_args() mode = _resolve_mode(args.hash_mode) # body|frontmatter|full src = _env("MINDNET_HASH_SOURCE", args.hash_source or "parsed") # parsed|raw norm = _env("MINDNET_HASH_NORMALIZE", args.hash_normalize or "canonical") # canonical|none note_scope_refs_env = (_env("MINDNET_NOTE_SCOPE_REFS", "false") == "true") note_scope_refs = args.note_scope_refs or note_scope_refs_env compare_text = args.compare_text or (_env("MINDNET_COMPARE_TEXT", "false") == "true") cfg = QdrantConfig.from_env() client = get_client(cfg) ensure_collections(client, cfg.prefix, cfg.dim) ensure_payload_indexes(client, cfg.prefix) root = os.path.abspath(args.vault) files = iter_md(root) if not files: print("Keine Markdown-Dateien gefunden.", file=sys.stderr) sys.exit(2) key_current = f"{mode}:{src}:{norm}" processed = 0 for path in files: # -------- Parse & Validate -------- try: parsed = read_markdown(path) except Exception as e: print(json.dumps({"path": path, "error": f"read_markdown failed: {e}"})) continue if parsed is None: print(json.dumps({"path": path, "error": "read_markdown returned None"})) continue try: fm = normalize_frontmatter(parsed.frontmatter) validate_required_frontmatter(fm) except Exception as e: print(json.dumps({"path": path, "error": f"Frontmatter invalid: {e}"})) continue if args.note_id and fm.get("id") != args.note_id: continue processed += 1 # -------- Build new payload (includes 'hashes') -------- note_pl = make_note_payload( parsed, vault_root=root, hash_mode=mode, hash_normalize=norm, hash_source=src, file_path=path, ) if not note_pl.get("fulltext"): note_pl["fulltext"] = getattr(parsed, "body", "") or "" note_id = note_pl.get("note_id") or fm.get("id") if not note_id: print(json.dumps({"path": path, "error": "Missing note_id after payload build"})) continue # -------- Fetch old payload -------- old_payload = None if args.force_replace else fetch_existing_note_payload(client, cfg.prefix, note_id) has_old = old_payload is not None old_hashes = (old_payload or {}).get("hashes") or {} old_hash_exact = old_hashes.get(key_current) # Neu-Hash (aktueller Modus) aus neuem Payload new_hash_exact = (note_pl.get("hashes") or {}).get(key_current) needs_baseline = (old_hash_exact is None) # Change-Detection: # - CREATE: wenn es KEIN Alt-Payload gibt -> changed=True # - UPDATE: baseline existiert UND Hash differiert # - force/text_changed wie gehabt hash_changed = (old_hash_exact is not None and new_hash_exact is not None and old_hash_exact != new_hash_exact) text_changed = False if compare_text: old_text = (old_payload or {}).get("fulltext") or "" new_text = note_pl.get("fulltext") or "" text_changed = (old_text != new_text) changed = args.force_replace or (not has_old) or hash_changed or text_changed # Baseline-only nur, wenn Alt-Payload existiert UND Key fehlt UND keine sonstige Änderung do_baseline_only = (args.baseline_modes and has_old and needs_baseline and not changed) # -------- Optional: Chunks / Embeddings / Edges vorbereiten -------- # CREATE/UPDATE: wir brauchen Chunks/Edges; Baseline-only: nein chunks = [] chunk_pls = [] edges = [] vecs = [] if (args.apply and (changed and (not do_baseline_only))): try: chunks = assemble_chunks(fm["id"], getattr(parsed, "body", "") or "", fm.get("type", "concept")) chunk_pls = make_chunk_payloads(fm, note_pl["path"], chunks) except Exception as e: print(json.dumps({"path": path, "note_id": note_id, "error": f"chunk build failed: {e}"})) continue if embed_texts: try: vecs = embed_texts([getattr(c, "text", "") for c in chunks]) # type: ignore[attr-defined] except Exception as e: print(json.dumps({"path": path, "note_id": note_id, "warn": f"embed_texts failed, using zeros: {e}"})) vecs = [[0.0] * cfg.dim for _ in chunks] else: vecs = [[0.0] * cfg.dim for _ in chunks] try: note_refs = note_pl.get("references") or [] edges = build_edges_for_note( note_id, chunk_pls, note_refs, include_note_scope_refs=note_scope_refs, ) except Exception as e: print(json.dumps({"path": path, "note_id": note_id, "error": f"build_edges_for_note failed: {e}"})) continue # -------- Summary -------- summary = { "note_id": note_id, "title": fm.get("title"), "chunks": len(chunk_pls), "edges": len(edges), "changed": changed, "needs_baseline_for_mode": needs_baseline, "decision": ("baseline-only" if args.apply and do_baseline_only else "apply" if args.apply and changed else "apply-skip-unchanged" if args.apply and not changed else "dry-run"), "path": note_pl["path"], "hash_mode": mode, "hash_normalize": norm, "hash_source": src, } print(json.dumps(summary, ensure_ascii=False)) # -------- Writes -------- if not args.apply: continue # BASELINE-ONLY: fehlenden Key nachtragen, ohne legacy Felder anzutasten if do_baseline_only: merged_hashes = {} merged_hashes.update(old_hashes) merged_hashes.update(note_pl.get("hashes") or {}) # Legacy-Hashfelder unverändert lassen, falls vorhanden if old_payload: note_pl["hash_fulltext"] = old_payload.get("hash_fulltext", note_pl.get("hash_fulltext")) note_pl["hash_signature"] = old_payload.get("hash_signature", note_pl.get("hash_signature")) note_pl["hashes"] = merged_hashes notes_name, note_pts = points_for_note(cfg.prefix, note_pl, None, cfg.dim) upsert_batch(client, notes_name, note_pts) continue # Normale CREATE/UPDATE if not changed: continue if args.purge_before_upsert and has_old: try: purge_note_artifacts(client, cfg.prefix, note_id) except Exception as e: print(json.dumps({"path": path, "note_id": note_id, "warn": f"purge failed: {e}"})) notes_name, note_pts = points_for_note(cfg.prefix, note_pl, None, cfg.dim) upsert_batch(client, notes_name, note_pts) chunks_name, chunk_pts = points_for_chunks(cfg.prefix, chunk_pls, vecs) upsert_batch(client, chunks_name, chunk_pts) edges_name, edge_pts = points_for_edges(cfg.prefix, edges) upsert_batch(client, edges_name, edge_pts) print(f"Done. Processed notes: {processed}") if __name__ == "__main__": main()