app/core/chunk_payload.py aktualisiert
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Modul: app/core/chunk_payload.py
Version: 1.1.2
Script: import_markdown.py Markdown Qdrant (Notes, Chunks, Edges)
Version: 3.1.1
Datum: 2025-09-09
Kurzbeschreibung
----------------
Erzeugt Qdrant-Payloads für Text-Chunks einer Note. Jeder Chunk enthält
den tatsächlichen Text unter dem Schlüssel ``text``. Dadurch kann der
Exporter den vollständigen Body verlässlich aus Chunks rekonstruieren,
falls ``notes.payload.fulltext`` fehlt.
Liest Markdown-Dateien aus einem Vault ein und schreibt Notes, Chunks und Edges
idempotent nach Qdrant. Change-Detection basiert standardmäßig auf dem **Body-Hash**
(ENV: MINDNET_HASH_MODE). Persistiert zusätzlich den Volltext der Note unter
``payload.fulltext`` und speichert den Vault-Pfad relativ.
Wesentliche Features
--------------------
- Stabile, idempotente Payload-Struktur für Chunks
- Persistenter Chunk-Text (``text``)
- Extraktion von Wikilinks pro Chunk (``wikilinks`` & ``references``)
- Pfadübernahme (relativ zum Vault, wird vom Aufrufer geliefert)
- Bereinigung leerer Felder (keine ``None``/leere Collections im Payload)
Abwärtskompatibilität
---------------------
- Keine harte Abhängigkeit mehr von nicht gelieferten Modulen (validate_note, embed, edges).
* Embeddings: Nullvektor-Fallback (Dim aus ENV/Config).
* Edges: werden aus Chunk-Payloads + Note-Refs lokal abgeleitet.
- IDs, Collections, Upsert-Semantik unverändert.
Abhängigkeiten
--------------
- ``app.core.chunker.Chunk`` und ``assemble_chunks``
- ``app.core.parser.extract_wikilinks`` und ``read_markdown`` (nur CLI)
ENV / Qdrant
------------
- QDRANT_URL (oder QDRANT_HOST/QDRANT_PORT)
- QDRANT_API_KEY (optional)
- COLLECTION_PREFIX (Default: mindnet)
- VECTOR_DIM (Default: 384)
- MINDNET_HASH_MODE: "body" (Default) | "frontmatter" | "body+frontmatter"
Beispiele (CLI Sichtprüfung)
------------------------------
python3 -m app.core.chunk_payload --from-file ./vault/demo.md --print
Aufruf
------
python3 -m scripts.import_markdown --vault ./vault
python3 -m scripts.import_markdown --vault ./vault --apply
python3 -m scripts.import_markdown --vault ./vault --apply --purge-before-upsert
python3 -m scripts.import_markdown --vault ./vault --note-id 20250821-foo --apply
python3 -m scripts.import_markdown --vault ./vault --apply --embed-note
"""
from __future__ import annotations
from typing import Dict, List, Any
import argparse
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
# Core/Projekt-Module (vorhanden)
from app.core.parser import (
read_markdown,
normalize_frontmatter,
validate_required_frontmatter,
extract_wikilinks,
)
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.qdrant import QdrantConfig, get_client, ensure_collections
from app.core.qdrant_points import (
points_for_chunks,
points_for_note,
points_for_edges,
upsert_batch,
)
# Optionale Module (wenn nicht vorhanden → Fallback)
try:
# Projektinterne Imports
from app.core.chunker import Chunk, assemble_chunks
from app.core.parser import extract_wikilinks, read_markdown
except Exception: # pragma: no cover - Fallback für relative Ausführung
from .chunker import Chunk, assemble_chunks # type: ignore
from .parser import extract_wikilinks, read_markdown # type: ignore
from app.core.embed import embed_texts, embed_one # type: ignore
except Exception:
embed_texts = None
embed_one = None
# ---------------------------------------------------------------------------
# Utils
# ---------------------------------------------------------------------------
# -----------------------------------------------------------------------------
# Hilfsfunktionen
# -----------------------------------------------------------------------------
def _drop_empty(d: Dict[str, Any]) -> Dict[str, Any]:
"""Entfernt leere/None-Felder aus einem Dict (für saubere Payloads)."""
return {k: v for k, v in d.items() if v not in (None, [], {}, "")}
def iter_md(root: str) -> List[str]:
"""Sammelt alle .md-Dateien unterhalb von root, filtert systemische Ordner."""
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)
# ---------------------------------------------------------------------------
# Kernfunktion
# ---------------------------------------------------------------------------
def collections(prefix: str) -> Tuple[str, str, str]:
return f"{prefix}_notes", f"{prefix}_chunks", f"{prefix}_edges"
def make_chunk_payloads(note_meta: Dict[str, Any], path: str, chunks: List[Chunk]) -> List[Dict[str, Any]]:
def fetch_existing_note_hash(client, prefix: str, note_id: str) -> Optional[str]:
"""Liest den bisherigen hash_fulltext aus der Notes-Collection (falls vorhanden)."""
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
pl = points[0].payload or {}
return pl.get("hash_fulltext")
def purge_note_artifacts(client, prefix: str, note_id: str) -> None:
"""
Baut Payloads für alle ``chunks`` der gegebenen Note.
Parameters
----------
note_meta : Dict[str, Any]
Minimale Metadaten der Note (mind. ``id``, ``title``; optional ``type``,
``area``, ``project``, ``tags``, ``lang``).
path : str
Relativer Pfad der Note innerhalb des Vaults (z. B. "area/topic/file.md").
chunks : List[Chunk]
Liste vorsegmentierter Chunks (vgl. app.core.chunker.Chunk).
Returns
-------
List[Dict[str, Any]]
Payload-Objekte, bereit für Qdrant-Upserts.
Löscht alle Chunks+Edges zu einer Note. Collections bleiben bestehen.
"""
res: List[Dict[str, Any]] = []
for ch in chunks:
wikilinks = extract_wikilinks(getattr(ch, "text", "") or "")
payload = {
"id": getattr(ch, "id", None),
"note_id": note_meta.get("id"),
"note_title": note_meta.get("title"),
"chunk_index": getattr(ch, "index", None),
"char_start": getattr(ch, "char_start", None),
"char_end": getattr(ch, "char_end", None),
"token_count": getattr(ch, "token_count", None),
"section_title": getattr(ch, "section_title", None),
"section_path": getattr(ch, "section_path", None),
"lang": note_meta.get("lang"),
"wikilinks": wikilinks,
"external_links": [],
"references": [{"target_id": w, "kind": "wikilink"} for w in wikilinks],
"neighbors": {
"prev": getattr(ch, "neighbors_prev", None),
"next": getattr(ch, "neighbors_next", None),
},
"path": path, # vom Aufrufer relativ geliefert
"text": getattr(ch, "text", None), # WICHTIG für Export/Rekonstruktion
}
res.append(_drop_empty(payload))
return res
_, chunks_col, edges_col = collections(prefix)
# Chunks der Note löschen
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)
# Edges der Note löschen (Chunk- und Note-Scope)
should = [
rest.FieldCondition(key="source_id", match=rest.MatchText(text=f"{note_id}#")),
rest.FieldCondition(key="target_id", match=rest.MatchText(text=f"{note_id}#")),
rest.FieldCondition(key="source_id", match=rest.MatchValue(value=note_id)),
rest.FieldCondition(key="target_id", match=rest.MatchValue(value=note_id)),
]
f_edges = rest.Filter(should=should)
client.delete(collection_name=edges_col, points_selector=f_edges, wait=True)
# ---------------------------------------------------------------------------
# CLI nur zur Sichtprüfung / Debug
# ---------------------------------------------------------------------------
def has_chunk_level_refs(chunk_payloads: List[Dict]) -> bool:
return any(isinstance(ch.get("references"), list) and ch["references"] for ch in chunk_payloads)
def _cli() -> None:
ap = argparse.ArgumentParser(description="Vorschau: Chunk-Payloads erzeugen und anzeigen")
ap.add_argument("--from-file", dest="src", required=True, help="Pfad zu einer Markdown-Datei")
ap.add_argument("--print", dest="do_print", action="store_true", help="Payload auf stdout ausgeben")
def derive_edges(note_meta: Dict, chunk_payloads: List[Dict]) -> List[Dict]:
"""
Erzeugt Edges aus den verfügbaren Payloads (ohne externe Abhängigkeiten).
- belongs_to (chunk -> note)
- prev/next (zwischen chunks)
- references (aus chunk.references[*].target_id) scope: chunk
- backlink (note <-> note) aus note_meta['references'] (falls vorhanden) scope: note
"""
edges: List[Dict] = []
# belongs_to + prev/next (Chunk-Scope)
for ch in chunk_payloads:
src = ch["id"]
edges.append({"src_id": src, "dst_id": note_meta["id"], "edge_type": "belongs_to", "scope": "chunk"})
nb = ch.get("neighbors") or {}
prev_id = nb.get("prev")
next_id = nb.get("next")
if prev_id:
edges.append({"src_id": prev_id, "dst_id": src, "edge_type": "next", "scope": "chunk"})
edges.append({"src_id": src, "dst_id": prev_id, "edge_type": "prev", "scope": "chunk"})
if next_id:
edges.append({"src_id": src, "dst_id": next_id, "edge_type": "next", "scope": "chunk"})
edges.append({"src_id": next_id, "dst_id": src, "edge_type": "prev", "scope": "chunk"})
# references aus Chunk
for ref in (ch.get("references") or []):
tid = ref.get("target_id")
if not tid:
continue
edges.append({"src_id": src, "dst_id": tid, "edge_type": "references", "scope": "chunk"})
# Note-Scope references/backlink
for tid in (note_meta.get("references") or []):
edges.append({"src_id": note_meta["id"], "dst_id": tid, "edge_type": "references", "scope": "note"})
edges.append({"src_id": tid, "dst_id": note_meta["id"], "edge_type": "backlink", "scope": "note"})
# Dedupe
uniq = {}
for e in edges:
key = (e["src_id"], e["dst_id"], e["edge_type"], e.get("scope", ""))
uniq[key] = e
return list(uniq.values())
def _normalize_rel_path(abs_path: str, vault_root: str) -> str:
"""Gibt einen **relativen** Pfad zurück, normalisiert auf forward slashes."""
try:
rel = os.path.relpath(abs_path, vault_root)
except Exception:
rel = abs_path # Fallback
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)")
args = ap.parse_args()
note = read_markdown(args.src)
note_meta = {
"id": note.frontmatter.get("id") or note.frontmatter.get("note_id"),
"title": note.frontmatter.get("title"),
"type": note.frontmatter.get("type"),
"area": note.frontmatter.get("area"),
"project": note.frontmatter.get("project"),
"tags": note.frontmatter.get("tags", []),
"lang": note.frontmatter.get("lang"),
}
# Qdrant
cfg = QdrantConfig.from_env()
client = get_client(cfg)
ensure_collections(client, cfg.prefix, cfg.dim)
notes_col, chunks_col, edges_col = collections(cfg.prefix)
chunks = assemble_chunks(note.frontmatter.get("id"), note.body or "", note.frontmatter.get("type", "concept"))
root = os.path.abspath(args.vault)
files = iter_md(root)
if not files:
print("Keine Markdown-Dateien gefunden.", file=sys.stderr)
sys.exit(2)
# Vault-Root heuristisch relativieren (nur für Demo)
vault_root = os.path.dirname(os.path.dirname(args.src)) # heuristisch
rel_path = os.path.relpath(args.src, vault_root).replace("\\", "/").lstrip("/")
processed = 0
for path in files:
parsed = read_markdown(path)
fm = normalize_frontmatter(parsed.frontmatter)
payloads = make_chunk_payloads(note_meta, rel_path, chunks)
# Pflichtfelder prüfen (z. B. id, title) bei Fehler: Note überspringen
try:
validate_required_frontmatter(fm)
except Exception as e:
print(json.dumps({"path": path, "error": f"Frontmatter invalid: {e}"}))
continue
if args.do_print:
print(json.dumps(payloads, ensure_ascii=False, indent=2))
if args.note_id and fm.get("id") != args.note_id:
continue
processed += 1
# Note-Payload
note_pl = make_note_payload(parsed, vault_root=root)
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
new_hash = note_pl.get("hash_fulltext")
old_hash = None if args.force_replace else fetch_existing_note_hash(client, cfg.prefix, note_id)
changed = args.force_replace or (old_hash != new_hash)
# Chunks + Embeddings (mit Fallback Nullvektoren)
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])
else:
vecs = [[0.0] * cfg.dim for _ in chunks]
# Optionaler Note-Vektor (Fallback Nullvektor)
if args.embed_note and embed_one:
note_vec = embed_one(parsed.body or "")
elif args.embed_note:
note_vec = [0.0] * cfg.dim
else:
note_vec = None
# Edges lokal ableiten
edges = derive_edges(fm | {"id": note_id, "references": note_pl.get("references")}, chunk_pls)
# Zusammenfassung
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"],
}
print(json.dumps(summary, ensure_ascii=False))
# Dry-Run?
if not args.apply:
continue
# Optionaler Purge NUR für geänderte Notes
if changed and args.purge_before_upsert:
purge_note_artifacts(client, cfg.prefix, note_id)
# Upserts: Notes / Chunks / Edges
notes_name, note_pts = points_for_note(cfg.prefix, note_pl, note_vec, 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__": # pragma: no cover
_cli()
if __name__ == "__main__":
main()