#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Script: scripts/import_markdown.py — Markdown → Qdrant (Notes, Chunks, Edges) Version: 3.4.1 Datum: 2025-09-09 Kurzbeschreibung ---------------- - Liest Markdown-Dateien ein, erzeugt Notes/Chunks/Edges **idempotent**. - Change-Detection (nur **Inhalte**, keine FS-Zeitstempel) konfigurierbar: * ``--hash-mode``: body | frontmatter | body+frontmatter | full (Alias) - Env: ``MINDNET_HASH_MODE`` **oder** ``MINDNET_HASH_COMPARE`` (Body/Frontmatter/Full) * ``--hash-normalize``: canonical | none (Default: canonical) * ``--hash-source``: parsed (Default) | raw - "raw" hasht den **ungeparsten** Body aus der Datei (Frontmatter vorher entfernt). - Optionales Diff-Logging: ``--debug-hash-diff`` zeigt bei Bedarf einen kompakten Diff. 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 ------ python3 -m scripts.import_markdown --vault ./vault python3 -m scripts.import_markdown --vault ./vault --apply python3 -m scripts.import_markdown --vault ./vault --apply --hash-source raw --hash-normalize none MINDNET_HASH_COMPARE=Full python3 -m scripts.import_markdown --vault ./vault --apply """ from __future__ import annotations import argparse import difflib import json import os import sys from typing import Dict, List, Optional, Tuple 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: _, chunks_col, edges_col = collections(prefix) f_chunks = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))]) client.delete(collection_name=chunks_col, points_selector=f_chunks, wait=True) f_edges = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))]) client.delete(collection_name=edges_col, points_selector=f_edges, wait=True) 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("/") # --------------------------------------------------------------------- # 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", "body+frontmatter", "full"], default=None, help="Vergleichsmodus: Body | Frontmatter | body+frontmatter (Alias: 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 bei Bedarf einen kurzen Diff zwischen altem und neuem Body") args = ap.parse_args() note_scope_refs_env = (os.environ.get("MINDNET_NOTE_SCOPE_REFS", "false").strip().lower() == "true") note_scope_refs = args.note_sCope_refs if hasattr(args, "note_sCope_refs") else args.note_scope_refs # defensive note_scope_refs = note_scope_refs or note_scope_refs_env 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) processed = 0 for path in files: parsed = read_markdown(path) fm = normalize_frontmatter(parsed.frontmatter) try: 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 # Note-Payload (inkl. Hash-Steuerung & Quelle) note_pl = make_note_payload( parsed, vault_root=root, hash_mode=args.hash_mode, hash_normalize=args.hash_normalize, hash_source=args.hash_source, file_path=path, ) if "fulltext" not in (note_pl or {}): note_pl["fulltext"] = parsed.body or "" if note_pl.get("path"): note_pl["path"] = _normalize_rel_path( os.path.join(root, note_pl["path"]) if not os.path.isabs(note_pl["path"]) else note_pl["path"], root ) else: note_pl["path"] = _normalize_rel_path(parsed.path, root) note_id = note_pl["note_id"] # Change-Detection (nur Inhalte, keine FS-Timestamps) old_payload = None if args.force_replace else fetch_existing_note_payload(client, cfg.prefix, note_id) old_hash = None if not old_payload else old_payload.get("hash_fulltext") new_hash = note_pl.get("hash_fulltext") changed = args.force_replace or (old_hash != new_hash) # Optionales Debugging: kompakten Diff anzeigen if args.debug_hash_diff: old_text = (old_payload or {}).get("fulltext") or "" new_text = note_pl.get("fulltext") or "" # Wenn Hash gleich, aber Text verschieden → Hinweis auf Normalisierung/Quelle if (old_hash == new_hash) and old_text != new_text: print(json.dumps({ "debug": "hash_equal_but_text_differs", "note_id": note_id, "hash_mode": args.hash_mode or os.environ.get("MINDNET_HASH_MODE") or os.environ.get("MINDNET_HASH_COMPARE", "body"), "hash_normalize": args.hash_normalize or os.environ.get("MINDNET_HASH_NORMALIZE", "canonical"), "hash_source": args.hash_source or os.environ.get("MINDNET_HASH_SOURCE", "parsed"), }, ensure_ascii=False)) if old_text and new_text: ud = list(difflib.unified_diff( old_text.splitlines(), new_text.splitlines(), fromfile="qdrant_fulltext(old)", tofile="vault_body(new)", n=3 )) if ud: preview = "\n".join(ud[:50]) print(json.dumps({"note_id": note_id, "diff_preview": preview}, ensure_ascii=False)) # Chunks + Embeddings (Nullvektor-Fallback) chunks = assemble_chunks(fm["id"], parsed.body, fm.get("type", "concept")) chunk_pls = make_chunk_payloads(fm, note_pl["path"], chunks) if embed_texts: vecs = embed_texts([getattr(c, "text", "") for c in chunks]) # type: ignore[attr-defined] else: vecs = [[0.0] * cfg.dim for _ in chunks] # Edges (neues Schema, mit note_id als Owner) 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, ) # Zusammenfassung pro Datei summary = { "note_id": note_id, "title": fm.get("title"), "chunks": len(chunk_pls), "edges": len(edges), "changed": changed, "decision": ("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": args.hash_mode or os.environ.get("MINDNET_HASH_MODE") or os.environ.get("MINDNET_HASH_COMPARE", "body"), "hash_normalize": args.hash_normalize or os.environ.get("MINDNET_HASH_NORMALIZE", "canonical"), "hash_source": args.hash_source or os.environ.get("MINDNET_HASH_SOURCE", "parsed"), } print(json.dumps(summary, ensure_ascii=False)) if not args.apply: continue if changed and args.purge_before_upsert: purge_note_artifacts(client, cfg.prefix, note_id) # Upserts 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()