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Lars 2025-11-16 18:47:36 +01:00
parent f394f31c12
commit c7644a36aa

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@ -1,33 +1,18 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
scripts/import_markdown.py (Mindnet V2 Importer, v2.5.1)
scripts/import_markdown.py (Mindnet V2 Importer, v2.5.2)
Zweck
-----
- Liest Markdown-Notizen aus einem Vault ein
- Erzeugt Note-Payload, Chunk-Payloads (+ optionale Embeddings) und Edges
- Schreibt alles idempotent in Qdrant (Notes, Chunks, Edges)
- Nutzt optional eine Type-Registry (`./config/types.yaml`) für:
- `chunk_profile` pro type
- `retriever_weight` pro type (Frontmatter > Registry > Default 1.0)
Kernfeatures
------------
- Deterministische Hashes via `make_note_payload(...)` (hash_mode/source/normalize)
- Idempotenter Upsert; Baseline-Hash-Merge je Modus
- Optionales `--sync-deletes` (Vault Qdrant)
- Edges aus realen Referenzen + Nachbarschaft (next/prev/belongs_to) via `derive_edges.py`/`edges.py`
- `retriever_weight` wird **immer** in Notes & Chunks geschrieben
- Keine Duplikate wie `chunk_num`/`Chunk_Number` wir halten uns an `index` (0basiert) und `ord` (= index+1)
Aufruf
------
# Import (Apply + Purge-Update)
python3 -m scripts.import_markdown --vault ./vault --apply --purge-before-upsert --prefix "$COLLECTION_PREFIX"
# Nur Sync-Deletes (wenn Dateien entfernt wurden)
python3 -m scripts.import_markdown --vault ./vault --sync-deletes --apply --prefix "$COLLECTION_PREFIX"
Änderungen in 2.5.2 (minimal & gezielt)
---------------------------------------
- **Explizite Spiegelung** von `chunk_profile` in Note- und Chunk-Payload:
note_pl["chunk_profile"] = fm.get("chunk_profile"); für jeden Chunk cpl["chunk_profile"] = fm.get("chunk_profile").
- **Explizite Spiegelung** von `retriever_weight` in jedem Chunk (falls Builder es nicht gesetzt hat).
- **Feld-basierte Change-Erkennung** erweitert:
Wenn bestehende Note-Payload (`old_payload`) bei `retriever_weight` oder `chunk_profile` vom neuen Wert abweicht
oder ein Feld fehlt, wird `changed = True` gesetzt Upsert erzwingen.
- **Robuste Übergabe** von Type-Registry an Chunk-Builder:
`types_cfg=(reg.get('types') or reg or {})` damit greifen Resolver in chunk_payload.py sicher auf `types.yaml` zu.
"""
from __future__ import annotations
@ -47,10 +32,8 @@ 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
try:
# bevorzugt: derive_edges (regelbasiert + real)
from app.core.derive_edges import build_edges_for_note
except Exception: # pragma: no cover
# Fallback: einfache Kanten in edges.py
except Exception:
from app.core.edges import build_edges_for_note # type: ignore
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
@ -58,12 +41,12 @@ from app.core.qdrant_points import points_for_chunks, points_for_note, points_fo
# embeddings optional
try:
from app.core.embed import embed_texts # optional
except Exception: # pragma: no cover
except Exception:
embed_texts = None # type: ignore
# ============================================================
# Type-Registry (config/types.yaml)
# Type-Registry
# ============================================================
def _env(name: str, default: Optional[str] = None) -> str:
@ -85,7 +68,6 @@ def _as_float(x: Any) -> Optional[float]:
return None
def load_type_registry() -> dict:
# ENV überschreibt Pfad
path = _env("MINDNET_TYPES_FILE", "./config/types.yaml")
if not os.path.isfile(path):
return {}
@ -115,17 +97,6 @@ def effective_chunk_profile(note_type: str, reg: dict) -> Optional[str]:
return None
def effective_retriever_weight_from_registry(note_type: str, reg: dict) -> Tuple[Optional[float], Optional[str]]:
"""
Liefert (Wert, Pfad) aus Registry, wenn vorhanden.
Unterstützte Pfade (in dieser Reihenfolge):
- types.<type>.retriever_weight
- types.<type>.retriever.weight
- types.<type>.retrieval.weight
- defaults.retriever_weight
- defaults.retriever.weight
- global.retriever_weight
- global.retriever.weight
"""
candidates = [
f"types.{note_type}.retriever_weight",
f"types.{note_type}.retriever.weight",
@ -143,9 +114,6 @@ def effective_retriever_weight_from_registry(note_type: str, reg: dict) -> Tuple
return None, None
def compute_effective_retriever_weight(fm: Dict[str, Any], note_type: str, reg: dict) -> Tuple[float, str]:
"""
Priorität: Frontmatter > Registry > Default (1.0). Gibt (Wert, Quelle) zurück.
"""
if fm.get("retriever_weight") is not None:
v = _as_float(fm.get("retriever_weight"))
if v is not None:
@ -166,13 +134,7 @@ def collections(prefix: str) -> Tuple[str, str, str]:
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,
)
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 {}
@ -182,13 +144,7 @@ def list_qdrant_note_ids(client, prefix: str) -> Set[str]:
out: Set[str] = set()
next_page = None
while True:
pts, next_page = client.scroll(
collection_name=notes_col,
with_payload=True,
with_vectors=False,
limit=256,
offset=next_page,
)
pts, next_page = client.scroll(collection_name=notes_col, with_payload=True, with_vectors=False, limit=256, offset=next_page)
if not pts:
break
for p in pts:
@ -205,11 +161,7 @@ def purge_note_artifacts(client, prefix: str, note_id: str) -> None:
filt = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
for col in (chunks_col, edges_col):
try:
client.delete(
collection_name=col,
points_selector=rest.FilterSelector(filter=filt),
wait=True
)
client.delete(collection_name=col, points_selector=rest.FilterSelector(filter=filt), wait=True)
except Exception as e:
print(json.dumps({"note_id": note_id, "warn": f"delete in {col} via filter failed: {e}"}))
@ -218,23 +170,13 @@ def delete_note_everywhere(client, prefix: str, note_id: str) -> None:
filt = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
for col in (edges_col, chunks_col, notes_col):
try:
client.delete(
collection_name=col,
points_selector=rest.FilterSelector(filter=filt),
wait=True
)
client.delete(collection_name=col, points_selector=rest.FilterSelector(filter=filt), wait=True)
except Exception as e:
print(json.dumps({"note_id": note_id, "warn": f"delete in {col} failed: {e}"}))
def _has_any_point(client, collection: str, note_id: str) -> bool:
filt = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
pts, _ = client.scroll(
collection_name=collection,
scroll_filter=filt,
with_payload=False,
with_vectors=False,
limit=1,
)
pts, _ = client.scroll(collection_name=collection, scroll_filter=filt, with_payload=False, with_vectors=False, limit=1)
return bool(pts)
def artifacts_missing(client, prefix: str, note_id: str) -> Tuple[bool, bool]:
@ -255,34 +197,30 @@ def _resolve_mode(m: Optional[str]) -> str:
def main() -> None:
load_dotenv()
ap = argparse.ArgumentParser(
prog="scripts.import_markdown",
description="Importiert Markdown-Notizen in Qdrant (Notes/Chunks/Edges)."
)
ap.add_argument("--vault", required=True, help="Pfad zum Vault (Ordner mit .md-Dateien)")
ap.add_argument("--only-path", help="Nur diese Datei verarbeiten (absolut oder relativ)")
ap.add_argument("--apply", action="store_true", help="Schreibt nach Qdrant (sonst Dry-Run)")
ap.add_argument("--purge-before-upsert", action="store_true", help="Alte Chunks/Edges der Note vorher löschen")
ap.add_argument("--force-replace", action="store_true", help="Note/Chunks/Edges unabhängig von Hash neu schreiben")
ap.add_argument("--note-id", help="Nur Notes mit dieser ID verarbeiten (Filter)")
ap.add_argument("--note-scope-refs", action="store_true", help="Note-scope References/Backlinks erzeugen")
ap.add_argument("--hash-mode", help="body|frontmatter|full (Default body)")
ap.add_argument("--hash-source", help="parsed|raw (Default parsed)")
ap.add_argument("--hash-normalize", help="canonical|none (Default canonical)")
ap.add_argument("--compare-text", action="store_true", help="Parsed fulltext zusätzlich direkt vergleichen")
ap.add_argument("--baseline-modes", action="store_true", help="Fehlende Hash-Varianten still nachtragen (Notes)")
ap.add_argument("--sync-deletes", action="store_true", help="Qdrant->Vault Lösch-Sync (mit --apply ausführen)")
ap.add_argument("--prefix", help="Collection-Prefix (überschreibt ENV COLLECTION_PREFIX)")
ap = argparse.ArgumentParser(prog="scripts.import_markdown", description="Importiert Markdown-Notizen in Qdrant (Notes/Chunks/Edges).")
ap.add_argument("--vault", required=True)
ap.add_argument("--only-path")
ap.add_argument("--apply", action="store_true")
ap.add_argument("--purge-before-upsert", action="store_true")
ap.add_argument("--force-replace", action="store_true")
ap.add_argument("--note-id")
ap.add_argument("--note-scope-refs", action="store_true")
ap.add_argument("--hash-mode")
ap.add_argument("--hash-source")
ap.add_argument("--hash-normalize")
ap.add_argument("--compare-text", action="store_true")
ap.add_argument("--baseline-modes", action="store_true")
ap.add_argument("--sync-deletes", action="store_true")
ap.add_argument("--prefix")
args = ap.parse_args()
mode = _resolve_mode(args.hash_mode) # body|frontmatter|full
src = _env("MINDNET_HASH_SOURCE", args.hash_source or "parsed") # parsed|raw
norm = _env("MINDNET_HASH_NORMALIZE", args.hash_normalize or "canonical") # canonical|none
mode = _resolve_mode(args.hash_mode)
src = _env("MINDNET_HASH_SOURCE", args.hash_source or "parsed")
norm = _env("MINDNET_HASH_NORMALIZE", args.hash_normalize or "canonical")
note_scope_refs_env = (_env("MINDNET_NOTE_SCOPE_REFS", "false") == "true")
note_scope_refs = args.note_scope_refs or note_scope_refs_env
compare_text = args.compare_text or (_env("MINDNET_COMPARE_TEXT", "false") == "true")
# Qdrant
cfg = QdrantConfig.from_env()
if args.prefix:
cfg.prefix = args.prefix.strip()
@ -290,23 +228,19 @@ def main() -> None:
ensure_collections(client, cfg.prefix, cfg.dim)
ensure_payload_indexes(client, cfg.prefix)
# Type-Registry laden
reg = load_type_registry()
# types_cfg: Direkter Zugriff auf den Knoten "types" (oder leeres Dict)
types_cfg = reg.get("types") if isinstance(reg, dict) else {}
types_cfg_node = reg.get("types") if isinstance(reg, dict) else {}
root = os.path.abspath(args.vault)
# Dateiliste
# Datei-Liste
if args.only_path:
only = os.path.abspath(args.only_path)
files = [only]
files = [os.path.abspath(args.only_path)]
else:
files: List[str] = []
for dirpath, _, filenames in os.walk(root):
for fn in filenames:
if not fn.lower().endswith(".md"):
continue
if fn.lower().endswith(".md"):
p = os.path.join(dirpath, fn)
pn = p.replace("\\", "/")
if any(ex in pn for ex in ["/.obsidian/", "/_backup_frontmatter/", "/_imported/"]):
@ -317,7 +251,7 @@ def main() -> None:
print("Keine Markdown-Dateien gefunden.", file=sys.stderr)
sys.exit(2)
# Optional: Sync-Deletes vorab
# Optional: Sync-Deletes
if args.sync_deletes:
vault_note_ids: Set[str] = set()
for path in files:
@ -333,22 +267,15 @@ def main() -> None:
continue
qdrant_note_ids = list_qdrant_note_ids(client, cfg.prefix)
to_delete = sorted(qdrant_note_ids - vault_note_ids)
print(json.dumps({
"action": "sync-deletes",
"prefix": cfg.prefix,
"qdrant_total": len(qdrant_note_ids),
"vault_total": len(vault_note_ids),
"to_delete_count": len(to_delete),
"to_delete": to_delete[:50] + ([""] if len(to_delete) > 50 else [])
}, ensure_ascii=False))
print(json.dumps({"action":"sync-deletes","prefix":cfg.prefix,"qdrant_total":len(qdrant_note_ids),"vault_total":len(vault_note_ids),"to_delete_count":len(to_delete),"to_delete":to_delete[:50]+([""] if len(to_delete)>50 else [])}, ensure_ascii=False))
if args.apply and to_delete:
for nid in to_delete:
print(json.dumps({"action":"delete","note_id":nid,"decision":"apply"}))
delete_note_everywhere(client, cfg.prefix, nid)
key_current = f"{mode}:{src}:{norm}"
processed = 0
for path in files:
try:
parsed = read_markdown(path)
@ -358,7 +285,7 @@ def main() -> None:
print(json.dumps({"path": path, "error": f"read_markdown failed: {type(e).__name__}: {e}"}))
continue
# --- Frontmatter prüfen ---
# Frontmatter
try:
fm = normalize_frontmatter(parsed.frontmatter)
validate_required_frontmatter(fm)
@ -371,91 +298,68 @@ def main() -> None:
processed += 1
# --- Typ & Profile aus Registry übernehmen ---
try:
# Typ + Profile/Weight
note_type = resolve_note_type(fm.get("type"), reg)
except Exception:
note_type = (fm.get("type") or "concept")
fm["type"] = note_type or fm.get("type") or "concept"
prof = effective_chunk_profile(note_type, reg)
if prof:
fm["chunk_profile"] = prof
# --- retriever_weight auflösen (FM > Registry > 1.0) ---
rw, rw_source = compute_effective_retriever_weight(fm, note_type, reg)
fm["retriever_weight"] = rw # Spiegeln ins FM für Builder
fm["retriever_weight"] = rw
# --- Payload aufbauen (inkl. Hashes) ---
# Note-Payload
try:
note_pl = make_note_payload(
parsed,
vault_root=root,
hash_mode=mode,
hash_normalize=norm,
hash_source=src,
file_path=path,
)
note_pl = make_note_payload(parsed, vault_root=root, hash_mode=mode, hash_normalize=norm, hash_source=src, file_path=path)
except Exception as e:
print(json.dumps({"path": path, "error": f"make_note_payload failed: {type(e).__name__}: {e}"}))
continue
if not note_pl.get("fulltext"):
note_pl["fulltext"] = getattr(parsed, "body", "") or ""
# retriever_weight **immer** in Note-Payload schreiben (redundant aber robust)
try:
note_pl["retriever_weight"] = float(rw)
except Exception:
note_pl["retriever_weight"] = 1.0
# Explizites Spiegeln: chunk_profile & retriever_weight in Note
if fm.get("chunk_profile") is not None:
note_pl["chunk_profile"] = fm.get("chunk_profile")
note_pl["retriever_weight"] = float(rw) if isinstance(rw, (int, float)) else 1.0
note_id = note_pl.get("note_id") or fm.get("id")
if not note_id:
print(json.dumps({"path": path, "error": "Missing note_id after payload build"}))
continue
# --- bestehenden Payload laden (zum Diff) ---
old_payload = None if args.force_replace else fetch_existing_note_payload(client, cfg.prefix, note_id)
# Bestehende Note in Qdrant (für Changed-Detektion)
old_payload = fetch_existing_note_payload(client, cfg.prefix, note_id)
has_old = old_payload is not None
old_hashes = (old_payload or {}).get("hashes") or {}
old_hash_exact = old_hashes.get(key_current)
new_hash_exact = (note_pl.get("hashes") or {}).get(key_current)
needs_baseline = (old_hash_exact is None)
hash_changed = (old_hash_exact is not None and new_hash_exact is not None and old_hash_exact != new_hash_exact)
text_changed = False
if compare_text:
old_text = (old_payload or {}).get("fulltext") or ""
new_text = note_pl.get("fulltext") or ""
text_changed = (old_text != new_text)
# Optionaler Text-Vergleich (teuer)
# if compare_text:
# old_text = (old_payload or {}).get("fulltext") or ""
# new_text = note_pl.get("fulltext") or (getattr(parsed, "body", "") or "")
# text_changed = (old_text != new_text)
changed = args.force_replace or (not has_old) or hash_changed or text_changed
# Treat payload field diffs (retriever_weight/chunk_profile) as change to force update
# Feld-basierte Change-Erkennung (erzwingt Update, wenn Werte nicht stimmen)
if has_old:
old_rw = old_payload.get('retriever_weight')
old_cp = old_payload.get('chunk_profile')
if old_rw != note_pl.get('retriever_weight') or old_cp != fm.get('chunk_profile'):
if old_payload.get("retriever_weight") != note_pl.get("retriever_weight"):
changed = True
if old_payload.get("chunk_profile") != note_pl.get("chunk_profile"):
changed = True
do_baseline_only = (args.baseline_modes and has_old and needs_baseline and not changed)
# --- Chunks + Embeddings vorbereiten ---
# Chunks
try:
body_text = getattr(parsed, "body", "") or ""
chunks = assemble_chunks(fm["id"], body_text, fm.get("type", "concept"))
# *** MINIMALFIX ***
# Übergib an make_chunk_payloads ein Note-Objekt mit verschachtelter 'frontmatter'
# und reiche die Registry ('types_cfg') durch, damit chunk_payload.py aus types.yaml lesen kann.
# WICHTIG: Note-Objekt mit verschachtelter FM + Registry an Chunk-Builder übergeben
chunk_note = {
"frontmatter": fm,
"id": fm.get("id"),
"type": fm.get("type"),
"title": fm.get("title"),
"path": note_pl.get("path") or path,
# optional: direkte Felder, falls ein alter Builder darauf schaut
"note_id": note_pl.get("note_id"),
"tags": fm.get("tags"),
}
@ -464,29 +368,29 @@ def main() -> None:
note_pl["path"],
chunks,
note_text=body_text,
types_cfg=(reg.get('types') if isinstance(reg, dict) and isinstance(reg.get('types'), dict) else reg if isinstance(reg, dict) else {}),
types_cfg=(reg.get("types") if isinstance(reg, dict) and isinstance(reg.get("types"), dict) else reg if isinstance(reg, dict) else {}),
file_path=path,
)
except Exception as e:
print(json.dumps({"path": path, "note_id": note_id, "error": f"chunk build failed: {type(e).__name__}: {e}"}))
continue
# **Felder-Policy**: `index` (0-based) & `ord` (1-based) sicherstellen; keine doppelten Alias-Felder
# Explizites Spiegeln: retriever_weight & chunk_profile auf JEDEN Chunk
rwf = float(rw) if isinstance(rw, (int, float)) else 1.0
cpv = fm.get("chunk_profile")
for i, pl in enumerate(chunk_pls):
if "index" not in pl:
pl["index"] = i
pl["ord"] = int(pl.get("index", i)) + 1
for alias in ("chunk_num", "Chunk_Number"):
if alias in pl:
pl.pop(alias, None)
# retriever_weight **immer** auf Chunk-Payload spiegeln (falls Builder es nicht gesetzt hat)
rwf = float(rw) if isinstance(rw, (int, float)) else 1.0
for pl in chunk_pls:
if "retriever_weight" not in pl:
pl["retriever_weight"] = rwf
if cpv is not None:
pl["chunk_profile"] = cpv
# entferne alte Aliasse
for alias in ("chunk_num", "Chunk_Number"):
pl.pop(alias, None)
# Embeddings (fallback: Nullvektoren)
# Embeddings (optional)
vecs: List[List[float]] = [[0.0] * int(cfg.dim) for _ in chunk_pls]
if embed_texts and chunk_pls:
try:
@ -495,87 +399,61 @@ def main() -> None:
except Exception as e:
print(json.dumps({"path": path, "note_id": note_id, "warn": f"embed_texts failed, using zeros: {e}"}))
# --- Fehlende Artefakte in Qdrant ermitteln ---
# Artefakte vorhanden?
chunks_missing, edges_missing = artifacts_missing(client, cfg.prefix, note_id)
# --- Edges (robust) ---
# Edges
edges: List[Dict[str, Any]] = []
edges_failed = False
should_build_edges = (changed and (not do_baseline_only)) or edges_missing
should_build_edges = (changed and True) or edges_missing # wenn Note geändert oder Kanten fehlen
if should_build_edges:
try:
note_refs = note_pl.get("references") or []
# Positionsargumente → kompatibel mit derive_edges.py UND edges.py
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)
except Exception as e:
edges_failed = True
edges = []
print(json.dumps({"path": path, "note_id": note_id, "warn": f"build_edges_for_note failed, skipping edges: {type(e).__name__}: {e}"}))
# --- Summary (stdout) ---
summary = {
# Summary
print(json.dumps({
"note_id": note_id,
"title": fm.get("title"),
"type": fm.get("type"),
"rw": rw,
"rw_source": rw_source,
"chunk_profile": fm.get("chunk_profile"),
"chunks": len(chunk_pls),
"edges": len(edges),
"edges_failed": edges_failed,
"changed": changed,
"chunks_missing": chunks_missing,
"edges_missing": edges_missing,
"needs_baseline_for_mode": needs_baseline,
"decision": ("baseline-only" if args.apply and do_baseline_only else
"apply" if args.apply and (changed or chunks_missing or edges_missing) else
"apply-skip-unchanged" if args.apply and not (changed or chunks_missing or edges_missing) else
"dry-run"),
"path": note_pl["path"],
"hash_mode": mode,
"hash_normalize": norm,
"hash_source": src,
"decision": ("apply" if args.apply else "dry-run"),
"prefix": cfg.prefix,
}
print(json.dumps(summary, ensure_ascii=False))
"path": note_pl["path"]
}, ensure_ascii=False))
# --- Writes ---
# Writes
if not args.apply:
continue
if do_baseline_only:
merged_hashes = {}
merged_hashes.update(old_hashes)
merged_hashes.update(note_pl.get("hashes") or {})
if old_payload:
note_pl["hash_fulltext"] = old_payload.get("hash_fulltext", note_pl.get("hash_fulltext"))
note_pl["hash_signature"] = old_payload.get("hash_signature", note_pl.get("hash_signature"))
note_pl["hashes"] = merged_hashes
notes_name, note_pts = points_for_note(cfg.prefix, note_pl, None, cfg.dim)
upsert_batch(client, notes_name, note_pts)
continue
# Wenn nichts geändert und keine Artefakte fehlen → nichts zu tun
if not changed and not (chunks_missing or edges_missing):
continue
# Purge nur bei echten Änderungen
if args.purge_before_upsert and has_old and changed:
# Purge bei Änderungen
if args.purge_before_upsert and changed:
try:
purge_note_artifacts(client, cfg.prefix, note_id)
except Exception as e:
print(json.dumps({"path": path, "note_id": note_id, "warn": f"purge failed: {e}"}))
# Note nur bei Änderungen neu schreiben
# Note
if changed:
notes_name, note_pts = points_for_note(cfg.prefix, note_pl, None, cfg.dim)
upsert_batch(client, notes_name, note_pts)
# Chunks schreiben, wenn geändert ODER vorher fehlend
# Chunks (wenn geändert ODER vorher keine vorhanden)
if chunk_pls and (changed or chunks_missing):
chunks_name, chunk_pts = points_for_chunks(cfg.prefix, chunk_pls, vecs)
upsert_batch(client, chunks_name, chunk_pts)
# Edges schreiben, wenn vorhanden und (geändert ODER vorher fehlend)
# Edges (wenn geändert ODER vorher keine vorhanden)
if edges and (changed or edges_missing):
edges_name, edge_pts = points_for_edges(cfg.prefix, edges)
upsert_batch(client, edges_name, edge_pts)