319 lines
12 KiB
Python
319 lines
12 KiB
Python
#!/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: 3.1.1
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Datum: 2025-09-09
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Kurzbeschreibung
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----------------
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Liest Markdown-Dateien aus einem Vault ein und schreibt Notes, Chunks und Edges
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idempotent nach Qdrant. Change-Detection basiert standardmäßig auf dem **Body-Hash**
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(ENV: MINDNET_HASH_MODE). Persistiert zusätzlich den Volltext der Note unter
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``payload.fulltext`` und speichert den Vault-Pfad relativ.
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Abwärtskompatibilität
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---------------------
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- Keine harte Abhängigkeit mehr von nicht gelieferten Modulen (validate_note, embed, edges).
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* Embeddings: Nullvektor-Fallback (Dim aus ENV/Config).
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* Edges: werden aus Chunk-Payloads + Note-Refs lokal abgeleitet.
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- IDs, Collections, Upsert-Semantik unverändert.
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ENV / Qdrant
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------------
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- QDRANT_URL (oder QDRANT_HOST/QDRANT_PORT)
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- QDRANT_API_KEY (optional)
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- COLLECTION_PREFIX (Default: mindnet)
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- VECTOR_DIM (Default: 384)
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- MINDNET_HASH_MODE: "body" (Default) | "frontmatter" | "body+frontmatter"
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Aufruf
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------
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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 --purge-before-upsert
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python3 -m scripts.import_markdown --vault ./vault --note-id 20250821-foo --apply
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python3 -m scripts.import_markdown --vault ./vault --apply --embed-note
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"""
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from __future__ import annotations
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import argparse
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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 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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# Core/Projekt-Module (vorhanden)
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from app.core.parser import (
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read_markdown,
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normalize_frontmatter,
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validate_required_frontmatter,
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extract_wikilinks,
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)
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from app.core.note_payload import make_note_payload
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from app.core.chunker import assemble_chunks
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from app.core.chunk_payload import make_chunk_payloads
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from app.core.qdrant import QdrantConfig, get_client, ensure_collections
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from app.core.qdrant_points import (
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points_for_chunks,
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points_for_note,
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points_for_edges,
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upsert_batch,
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)
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# Optionale Module (wenn nicht vorhanden → Fallback)
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try:
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from app.core.embed import embed_texts, embed_one # type: ignore
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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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# Hilfsfunktionen
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# -----------------------------------------------------------------------------
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def iter_md(root: str) -> List[str]:
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"""Sammelt alle .md-Dateien unterhalb von root, filtert systemische Ordner."""
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out: List[str] = []
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for dirpath, _, filenames in os.walk(root):
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for fn in filenames:
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if not fn.lower().endswith(".md"):
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continue
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p = os.path.join(dirpath, fn)
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pn = p.replace("\\", "/")
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if any(ex in pn for ex in ["/.obsidian/", "/_backup_frontmatter/", "/_imported/"]):
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continue
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out.append(p)
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return sorted(out)
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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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"""Liest den bisherigen hash_fulltext aus der Notes-Collection (falls vorhanden)."""
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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",
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match=rest.MatchValue(value=note_id),
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)])
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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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with_payload=True,
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with_vectors=False,
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limit=1,
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)
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if not points:
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return None
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pl = points[0].payload or {}
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return pl.get("hash_fulltext")
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def purge_note_artifacts(client, prefix: str, note_id: str) -> None:
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"""
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Löscht alle Chunks+Edges zu einer Note. Collections bleiben bestehen.
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"""
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_, chunks_col, edges_col = collections(prefix)
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# Chunks der Note löschen
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f_chunks = rest.Filter(
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must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))]
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)
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client.delete(collection_name=chunks_col, points_selector=f_chunks, wait=True)
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# Edges der Note löschen (Chunk- und Note-Scope)
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should = [
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rest.FieldCondition(key="source_id", match=rest.MatchText(text=f"{note_id}#")),
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rest.FieldCondition(key="target_id", match=rest.MatchText(text=f"{note_id}#")),
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rest.FieldCondition(key="source_id", match=rest.MatchValue(value=note_id)),
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rest.FieldCondition(key="target_id", match=rest.MatchValue(value=note_id)),
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]
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f_edges = rest.Filter(should=should)
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client.delete(collection_name=edges_col, points_selector=f_edges, wait=True)
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def has_chunk_level_refs(chunk_payloads: List[Dict]) -> bool:
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return any(isinstance(ch.get("references"), list) and ch["references"] for ch in chunk_payloads)
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def derive_edges(note_meta: Dict, chunk_payloads: List[Dict]) -> List[Dict]:
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"""
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Erzeugt Edges aus den verfügbaren Payloads (ohne externe Abhängigkeiten).
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- belongs_to (chunk -> note)
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- prev/next (zwischen chunks)
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- references (aus chunk.references[*].target_id) – scope: chunk
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- backlink (note <-> note) aus note_meta['references'] (falls vorhanden) – scope: note
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"""
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edges: List[Dict] = []
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# belongs_to + prev/next (Chunk-Scope)
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for ch in chunk_payloads:
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src = ch["id"]
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edges.append({"src_id": src, "dst_id": note_meta["id"], "edge_type": "belongs_to", "scope": "chunk"})
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nb = ch.get("neighbors") or {}
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prev_id = nb.get("prev")
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next_id = nb.get("next")
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if prev_id:
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edges.append({"src_id": prev_id, "dst_id": src, "edge_type": "next", "scope": "chunk"})
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edges.append({"src_id": src, "dst_id": prev_id, "edge_type": "prev", "scope": "chunk"})
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if next_id:
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edges.append({"src_id": src, "dst_id": next_id, "edge_type": "next", "scope": "chunk"})
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edges.append({"src_id": next_id, "dst_id": src, "edge_type": "prev", "scope": "chunk"})
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# references aus Chunk
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for ref in (ch.get("references") or []):
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tid = ref.get("target_id")
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if not tid:
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continue
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edges.append({"src_id": src, "dst_id": tid, "edge_type": "references", "scope": "chunk"})
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# Note-Scope references/backlink
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for tid in (note_meta.get("references") or []):
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edges.append({"src_id": note_meta["id"], "dst_id": tid, "edge_type": "references", "scope": "note"})
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edges.append({"src_id": tid, "dst_id": note_meta["id"], "edge_type": "backlink", "scope": "note"})
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# Dedupe
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uniq = {}
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for e in edges:
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key = (e["src_id"], e["dst_id"], e["edge_type"], e.get("scope", ""))
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uniq[key] = e
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return list(uniq.values())
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def _normalize_rel_path(abs_path: str, vault_root: str) -> str:
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"""Gibt einen **relativen** Pfad zurück, normalisiert auf forward slashes."""
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try:
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rel = os.path.relpath(abs_path, vault_root)
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except Exception:
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rel = abs_path # Fallback
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return rel.replace("\\", "/").lstrip("/")
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# -----------------------------------------------------------------------------
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# Main
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# -----------------------------------------------------------------------------
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def main() -> None:
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load_dotenv()
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ap = argparse.ArgumentParser()
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ap.add_argument("--vault", required=True, help="Pfad zum Obsidian-Vault (Root-Ordner)")
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ap.add_argument("--apply", action="store_true", help="Schreibt in Qdrant; ohne Flag nur Dry-Run")
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ap.add_argument("--purge-before-upsert", action="store_true",
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help="Vor Upsert Chunks & Edges der GEÄNDERTEN Note löschen")
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ap.add_argument("--note-id", help="Nur eine bestimmte Note-ID verarbeiten")
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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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args = ap.parse_args()
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# Qdrant
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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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notes_col, chunks_col, edges_col = collections(cfg.prefix)
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root = os.path.abspath(args.vault)
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files = iter_md(root)
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if not files:
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print("Keine Markdown-Dateien gefunden.", file=sys.stderr)
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sys.exit(2)
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processed = 0
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for path in files:
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parsed = read_markdown(path)
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fm = normalize_frontmatter(parsed.frontmatter)
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# Pflichtfelder prüfen (z. B. id, title) – bei Fehler: Note überspringen
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try:
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validate_required_frontmatter(fm)
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except Exception as e:
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print(json.dumps({"path": path, "error": f"Frontmatter invalid: {e}"}))
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continue
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if args.note_id and fm.get("id") != args.note_id:
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continue
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processed += 1
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# Note-Payload
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note_pl = make_note_payload(parsed, vault_root=root)
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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_pl["path"] = _normalize_rel_path(
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os.path.join(root, note_pl["path"]) if not os.path.isabs(note_pl["path"]) else note_pl["path"], root
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)
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else:
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note_pl["path"] = _normalize_rel_path(parsed.path, root)
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note_id = note_pl["note_id"]
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# Change-Detection
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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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# Chunks + Embeddings (mit Fallback Nullvektoren)
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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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if embed_texts:
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vecs = embed_texts([getattr(c, "text", "") for c in chunks])
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else:
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vecs = [[0.0] * cfg.dim for _ in chunks]
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# Optionaler Note-Vektor (Fallback Nullvektor)
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if args.embed_note and embed_one:
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note_vec = embed_one(parsed.body or "")
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elif args.embed_note:
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note_vec = [0.0] * cfg.dim
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else:
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note_vec = None
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# Edges lokal ableiten
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edges = derive_edges(fm | {"id": note_id, "references": note_pl.get("references")}, chunk_pls)
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# Zusammenfassung
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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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"chunks": len(chunk_pls),
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"edges": len(edges),
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"changed": changed,
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"decision": ("apply" if args.apply and changed else
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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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}
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print(json.dumps(summary, ensure_ascii=False))
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# Dry-Run?
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if not args.apply:
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continue
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# Optionaler Purge NUR für geänderte Notes
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if changed and args.purge_before_upsert:
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purge_note_artifacts(client, cfg.prefix, note_id)
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# Upserts: Notes / Chunks / Edges
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notes_name, note_pts = points_for_note(cfg.prefix, note_pl, note_vec, cfg.dim)
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upsert_batch(client, notes_name, note_pts)
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chunks_name, chunk_pts = points_for_chunks(cfg.prefix, chunk_pls, vecs)
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upsert_batch(client, chunks_name, chunk_pts)
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edges_name, edge_pts = points_for_edges(cfg.prefix, edges)
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upsert_batch(client, edges_name, edge_pts)
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print(f"Done. Processed notes: {processed}")
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if __name__ == "__main__":
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main()
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