#!/usr/bin/env python3 from __future__ import annotations """ WP-03 – STEP 1 Ziel dieses Patches: Edges (references/backlink/references_at) entstehen direkt beim Import auf Basis der **echten Chunks** und eines **Vorab-Note-Index**. Damit verschwinden "dangling" references_at-Quellen aus dem Backfill-Ansatz. Ausführung (aus Projekt-Root, im venv): (.venv) python3 -m scripts.import_markdown --vault ./vault --apply (.venv) python3 -m scripts.validate_edges --prefix mindnet --details Abhängigkeiten: qdrant-client, python-dotenv """ import argparse import os import glob import json import sys from typing import List, Dict from dotenv import load_dotenv # Core-Module 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, ) # Neue direkte Edge-Ableitung beim Import from app.core.derive_edges import build_note_index, derive_wikilink_edges # ----------------------------------------------------------------------------- # Utilities # ----------------------------------------------------------------------------- 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, } # ----------------------------------------------------------------------------- # Main # ----------------------------------------------------------------------------- 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 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 für robuste Zielauflösung # ------------------------------------------------------------------ index_payloads: List[Dict] = [] for path in files: try: pl = minimal_note_index_payload(path, root) if not pl.get("note_id"): # ohne stabile ID lassen wir die Note komplett aus continue if args.note_id and pl["note_id"] != args.note_id: continue index_payloads.append(pl) except Exception: # bewusst still: Einzeldefekte sollen den Gesamtimport nicht stoppen continue note_index = build_note_index(index_payloads) # (by_id, by_slug, by_file_slug) # ------------------------------------------------------------------ # (2) Hauptlauf: pro Note Chunks/Embeddings + Edges aus echten Chunks # ------------------------------------------------------------------ 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 # Für derive_wikilink_edges darf der Note-Payload einen Volltext enthalten note_pl_for_edges = dict(note_pl) note_pl_for_edges.setdefault("fulltext", parsed.body) edges = derive_wikilink_edges(note_pl_for_edges, chunk_pls, note_index) # Dry-Run-Log summary = { "note_id": fm["id"], "title": fm["title"], "chunks": len(chunk_pls), "edges": len(edges), "path": note_pl["path"], } print(json.dumps(summary, 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; chunk_id stabilisiert notfalls qdrant_points) chunks_col, chunk_pts = points_for_chunks(cfg.prefix, chunk_pls, vectors) upsert_batch(client, chunks_col, chunk_pts) # Edges upsert (idempotent; edge_id deterministisch aus kind/src/tgt/seq) 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()