scripts/export_markdown.py aktualisiert
Some checks failed
Deploy mindnet to llm-node / deploy (push) Failing after 1s

This commit is contained in:
Lars 2025-09-08 18:04:11 +02:00
parent af5d0a0c91
commit aa7d0190c8

View File

@ -1,7 +1,7 @@
# scripts/export_markdown.py
# -----------------------------------------------------------------------------
# Name: export_markdown.py
# Version: 1.0.0 (2025-09-08)
# Version: 1.0.1 (2025-09-08)
# Zweck: Exportiert Notes + Chunks aus Qdrant zurück in Markdown-Dateien.
#
# Was es macht:
@ -11,26 +11,36 @@
# - Schreibt Dateien unter --out (Verzeichnis wird angelegt).
# - Verwendet, falls vorhanden, den Pfad aus payload.path; sonst Titel-basiert.
#
# Aufruf:
# # alle Notes exportieren:
# python3 -m scripts.export_markdown --prefix mindnet --out ./_export
# Aufruf (im venv):
# # alle Notes exportieren (Prefix wird aus ENV COLLECTION_PREFIX gelesen):
# python3 -m scripts.export_markdown --out ./_export
#
# # Prefix explizit per ENV überschreiben:
# COLLECTION_PREFIX=mindnet python3 -m scripts.export_markdown --out ./_export
#
# # nur bestimmte Note-IDs exportieren:
# python3 -m scripts.export_markdown --prefix mindnet --out ./_export \
# python3 -m scripts.export_markdown --out ./_export \
# --note-id 20250821-architektur-ki-trainerassistent-761cfe \
# --note-id 20250821-personal-mind-ki-projekt-7b0d79
#
# Parameter:
# --prefix : Collections-Präfix (Default: mindnet)
# --out : Zielverzeichnis (wird erstellt)
# --out : Zielverzeichnis (wird erstellt, Pflicht)
# --note-id : Kann mehrfach angegeben werden; dann nur diese Notes
# --overwrite : Existierende Dateien überschreiben (sonst überspringen)
#
# Umgebung:
# QDRANT_URL (z. B. http://127.0.0.1:6333)
# QDRANT_API_KEY (optional)
# COLLECTION_PREFIX (Default in app/core/qdrant.py: "mindnet")
# VECTOR_DIM (Default in app/core/qdrant.py: 384)
#
# Voraussetzungen:
# - Ausführung im aktivierten venv empfohlen: source .venv/bin/activate
# - Qdrant läuft lokal (oder URL/API-Key in ENV), siehe app/core/qdrant.py
# - Qdrant läuft (oder URL/API-Key in ENV), siehe app/core/qdrant.py
#
# Änderungen:
# - 1.0.1: Nutzt QdrantConfig.from_env() ohne Parameter; liest Prefix aus ENV.
# Passt collection_names()-Nutzung (Tupel) korrekt an.
# - 1.0.0: Erster Release.
# -----------------------------------------------------------------------------
@ -39,7 +49,7 @@ import json
import os
import re
from pathlib import Path
from typing import Dict, List, Optional, Tuple
from typing import Dict, List, Optional
from qdrant_client import QdrantClient
from qdrant_client.http import models as rest
@ -49,14 +59,12 @@ from app.core.qdrant import QdrantConfig, get_client, collection_names
def to_yaml_frontmatter(fm: Dict) -> str:
"""Serialisiert ein Python-Dict als YAML-Frontmatter (einfach, stabil)."""
# Nur bekannte Felder in definierter Reihenfolge
ordered_keys = [
"id", "note_id", "title", "type", "status",
"created", "updated", "path", "tags",
"area", "project", "source", "lang", "slug",
]
lines: List[str] = ["---"]
# normiere: id-Feld (falls nur note_id existiert)
m = dict(fm)
if "id" not in m and "note_id" in m:
m["id"] = m["note_id"]
@ -89,17 +97,13 @@ def choose_output_path(out_dir: Path, fm: Dict) -> Path:
def fetch_all_notes(client: QdrantClient, notes_col: str, only_ids: Optional[List[str]]) -> List[Dict]:
"""scrollt alle Notes (optional gefiltert). Rückgabe: List[Payload-Dicts]."""
"""Scrollt alle Notes (optional gefiltert). Rückgabe: List[Payload-Dicts]."""
results: List[Dict] = []
offset = None
flt = None
if only_ids:
# Filter: note_id IN [...]
flt = rest.Filter(
should=[
rest.FieldCondition(key="note_id", match=rest.MatchValue(value=nid))
for nid in only_ids
]
should=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=nid)) for nid in only_ids]
)
while True:
@ -123,9 +127,7 @@ def fetch_all_notes(client: QdrantClient, notes_col: str, only_ids: Optional[Lis
def fetch_chunks_for_note(client: QdrantClient, chunks_col: str, note_id: str) -> List[Dict]:
res: List[Dict] = []
offset = None
flt = rest.Filter(
must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))]
)
flt = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
while True:
pts, next_offset = client.scroll(
collection_name=chunks_col,
@ -141,8 +143,6 @@ def fetch_chunks_for_note(client: QdrantClient, chunks_col: str, note_id: str) -
if next_offset is None:
break
offset = next_offset
# sortiere nach seq, falls vorhanden
res.sort(key=lambda x: x.get("seq", 0))
return res
@ -164,7 +164,6 @@ def write_note_as_markdown(out_dir: Path, note_payload: Dict, chunks: List[Dict]
frontmatter = to_yaml_frontmatter(note_payload)
body = assemble_body_from_chunks(chunks)
content = f"{frontmatter}\n{body}"
out_path.write_text(content, encoding="utf-8")
return out_path
@ -172,7 +171,6 @@ def write_note_as_markdown(out_dir: Path, note_payload: Dict, chunks: List[Dict]
def main():
ap = argparse.ArgumentParser(description="Exportiert Notes+Chunks aus Qdrant in Markdown-Dateien.")
ap.add_argument("--prefix", default="mindnet", help="Collections-Präfix (Default: mindnet)")
ap.add_argument("--out", required=True, help="Zielverzeichnis für exportierte .md-Dateien")
ap.add_argument("--note-id", action="append", help="Spezifische Note-ID exportieren (mehrfach möglich)")
ap.add_argument("--overwrite", action="store_true", help="Existierende Dateien überschreiben")
@ -181,21 +179,20 @@ def main():
out_dir = Path(args.out).resolve()
out_dir.mkdir(parents=True, exist_ok=True)
# korrekt
cfg = QdrantConfig.from_env(prefix=args.prefix)
# Wichtig: Prefix & Co. kommen aus ENV via from_env()
cfg = QdrantConfig.from_env()
client = get_client(cfg)
cols = collection_names(args.prefix)
notes_col, chunks_col, _edges_col = collection_names(cfg.prefix)
notes = fetch_all_notes(client, cols["notes"], args.note_id)
notes = fetch_all_notes(client, notes_col, args.note_id)
if not notes:
print("Keine Notes in Qdrant gefunden (Filter zu streng?).")
print("Keine Notes in Qdrant gefunden (oder Filter zu streng).")
return
exported = []
for np in notes:
nid = np.get("note_id") or np.get("id")
chunks = fetch_chunks_for_note(client, cols["chunks"], note_id=str(nid))
chunks = fetch_chunks_for_note(client, chunks_col, note_id=str(nid))
path = write_note_as_markdown(out_dir, np, chunks, overwrite=args.overwrite)
exported.append({"note_id": nid, "path": str(path)})