#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Name: scripts/import_markdown.py Version: v2.1.1 (2025-09-05) Kurzbeschreibung: Importiert Obsidian-Markdown-Notes in Qdrant (Notes/Chunks/Edges). Leitet Wikilink-Edges (references/backlink/references_at) direkt beim Import aus Volltext + echten Chunk-Texten ab. Keine Abhängigkeit zu edges.py (Legacy). Aufruf (aus Projekt-Root, im venv): python3 -m scripts.import_markdown --vault ./vault [--apply] [--note-id NOTE_ID] [--embed-note] Parameter: --vault Pfad zum Vault (z. B. ./vault) --apply Führt Upserts in Qdrant aus (ohne Flag = Dry-Run mit JSON-Summaries) --note-id Bearbeite nur eine konkrete Note-ID --embed-note Optional: Note-Vektor (Volltext) zusätzlich einbetten Umgebungsvariablen (optional): QDRANT_URL, QDRANT_API_KEY, COLLECTION_PREFIX, VECTOR_DIM (Default 384) Exitcodes: 0 = OK, 2 = keine Markdown-Dateien gefunden Wichtige Hinweise: - Verwendet ausschließlich app.core.derive_edges für Wikilink-Kanten. - Chunk-Texte werden an derive_wikilink_edges übergeben; nur so entstehen references_at. - Edges-IDs sind deterministisch (UUIDv5 in qdrant_points), idempotent. - Edges-Collection bleibt 1D-Dummy-Vektor (DOT), reine Payload-Nutzung. Changelog: v2.1.1: Entfernt Abhängigkeit auf app.core.edges; direkte Nutzung von derive_wikilink_edges; sichert Übergabe der Chunk-Texte → references_at werden erzeugt. v2.1.0: Note-Index über gesamten Vault; erste Fassung mit direkter Edge-Ableitung. v2.0.x: Import Notes/Chunks/Embeddings, Edges via Backfill (separat). """ from __future__ import annotations import argparse import os import glob import json import sys from typing import List, Dict from dotenv import load_dotenv # Core-Module (gemäß Projektstruktur) from app.core.parser import ( read_markdown, normalize_frontmatter, validate_required_frontmatter, ) from app.core.note_payload import make_note_payload from app.core.validate_note import validate_note_payload from app.core.chunker import assemble_chunks from app.core.chunk_payload import make_chunk_payloads from app.core.embed import embed_texts, embed_one from app.core.qdrant import QdrantConfig, ensure_collections, get_client from app.core.qdrant_points import ( points_for_chunks, points_for_note, points_for_edges, upsert_batch, ) # Nur Wikilink-Ableitung (keine Kollision mit edges.py): from app.core.derive_edges import build_note_index, derive_wikilink_edges def iter_md(root: str, exclude=("/.obsidian/", "/_backup_frontmatter/", "/_imported/")) -> List[str]: files = [p for p in glob.glob(os.path.join(root, "**", "*.md"), recursive=True)] out: List[str] = [] for p in files: pn = p.replace("\\", "/") if any(ex in pn for ex in exclude): continue out.append(p) return out def minimal_note_index_payload(abs_path: str, vault_root: str) -> Dict: """Nur Felder, die der Resolver braucht (id/title/path).""" parsed = read_markdown(abs_path) fm = normalize_frontmatter(parsed.frontmatter) validate_required_frontmatter(fm) relpath = os.path.relpath(abs_path, vault_root).replace("\\", "/") return { "note_id": fm.get("id") or fm.get("note_id"), "title": fm.get("title"), "path": relpath, } def main(): load_dotenv() ap = argparse.ArgumentParser() ap.add_argument("--vault", required=True, help="Obsidian Vault Pfad (z.B. mindnet/vault)") ap.add_argument("--apply", action="store_true", help="Schreibt in Qdrant (sonst Dry-Run)") ap.add_argument("--note-id", help="Nur eine Note-ID verarbeiten") ap.add_argument("--embed-note", action="store_true", help="Auch Note-Volltext einbetten (optional)") args = ap.parse_args() # Qdrant-Konfiguration (+ Collections sicherstellen) cfg = QdrantConfig( url=os.getenv("QDRANT_URL", "http://127.0.0.1:6333"), api_key=os.getenv("QDRANT_API_KEY") or None, prefix=os.getenv("COLLECTION_PREFIX", "mindnet"), dim=int(os.getenv("VECTOR_DIM", "384")), ) client = get_client(cfg) ensure_collections(client, cfg.prefix, cfg.dim) root = os.path.abspath(args.vault) files = iter_md(root) if not files: print("Keine Markdown-Dateien gefunden.", file=sys.stderr) sys.exit(2) # (1) Vorab-Lauf: Note-Index (robuste Auflösung via ID/Titel-Slug/File-Slug) index_payloads: List[Dict] = [] for path in files: try: pl = minimal_note_index_payload(path, root) if not pl.get("note_id"): continue if args.note_id and pl["note_id"] != args.note_id: continue index_payloads.append(pl) except Exception: # Einzeldefekte nicht fatal continue note_index = build_note_index(index_payloads) # (2) Hauptlauf: Import + direkte Wikilink-Edge-Ableitung total_notes = 0 for path in files: parsed = read_markdown(path) fm = normalize_frontmatter(parsed.frontmatter) try: validate_required_frontmatter(fm) except Exception: continue if args.note_id and fm.get("id") != args.note_id: continue total_notes += 1 # Note-Payload (vollständig für notes-Collection) note_pl = make_note_payload(parsed, vault_root=root) validate_note_payload(note_pl) # Chunks aus Body gemäß Chunking-Strategie chunks = assemble_chunks(fm["id"], parsed.body, fm.get("type", "concept")) chunk_pls = make_chunk_payloads(fm, note_pl["path"], chunks) # Embeddings (Chunks) texts = [ch.text for ch in chunks] vectors = embed_texts(texts) # Optional: Note-Vektor (z. B. für Doc-Suche/Clustering) note_vec = None if args.embed_note: note_vec = embed_one(parsed.body) # Edges direkt aus realen Chunks + Note-Index # ACHTUNG: derive_wikilink_edges erwartet Chunks mit Text → wir bauen eine # minimalistische Liste {"chunk_id","text"} in gleicher Reihenfolge. note_pl_for_edges = { "note_id": fm["id"], "title": fm.get("title"), "path": note_pl["path"], "fulltext": parsed.body, } chunks_for_links = [] for i, pl in enumerate(chunk_pls): cid = pl.get("chunk_id") or pl.get("id") txt = chunks[i].text if i < len(chunks) else "" chunks_for_links.append({"chunk_id": cid, "text": txt}) edges = derive_wikilink_edges(note_pl_for_edges, chunks_for_links, note_index) # Dry-Run-Summary print(json.dumps({ "note_id": fm["id"], "title": fm["title"], "chunks": len(chunk_pls), "edges": len(edges), "path": note_pl["path"], }, ensure_ascii=False)) if args.apply: # Notes upsert (idempotent; UUIDv5) notes_col, note_pts = points_for_note(cfg.prefix, note_pl, note_vec, cfg.dim) upsert_batch(client, notes_col, note_pts) # Chunks upsert (idempotent) chunks_col, chunk_pts = points_for_chunks(cfg.prefix, chunk_pls, vectors) upsert_batch(client, chunks_col, chunk_pts) # Edges upsert (idempotent; deterministisches edge_id) edges_col, edge_pts = points_for_edges(cfg.prefix, edges) upsert_batch(client, edges_col, edge_pts) print(f"Done. Processed notes: {total_notes}") if __name__ == "__main__": main()