scripts/import_markdown.py aktualisiert
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# -*- coding: utf-8 -*-
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# -*- coding: utf-8 -*-
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"""
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"""
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Script: import_markdown.py — Markdown → Qdrant (Notes, Chunks, Edges)
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Script: import_markdown.py — Markdown → Qdrant (Notes, Chunks, Edges)
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Version: 3.2.0
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Version: 3.3.1
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Datum: 2025-09-09
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Datum: 2025-09-09
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Kurzbeschreibung
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Kurzbeschreibung
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----------------
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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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- Liest Markdown-Dateien ein, erzeugt Notes/Chunks/Edges idempotent.
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idempotent nach Qdrant. Change-Detection basiert standardmäßig auf dem **Body-Hash**.
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- Change-Detection über Body-Hash (CLI/ENV steuerbar).
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Neu: Hash-Modus und Normalisierung sind auch per **CLI** steuerbar.
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- Edges werden zentral über app.core.edges.build_edges_for_note erzeugt
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(neues Schema; plus note_id als Owner).
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- Legt bei Start sinnvolle Payload-Indizes in Qdrant an.
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ENV / Qdrant
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ENV / Qdrant
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------------
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------------
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- QDRANT_URL (oder QDRANT_HOST/QDRANT_PORT)
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- QDRANT_URL | QDRANT_HOST/QDRANT_PORT | QDRANT_API_KEY
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- QDRANT_API_KEY (optional)
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- COLLECTION_PREFIX (Default: mindnet)
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- COLLECTION_PREFIX (Default: mindnet)
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- VECTOR_DIM (Default: 384)
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- VECTOR_DIM (Default: 384)
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- MINDNET_HASH_MODE: "body" (Default) | "frontmatter" | "body+frontmatter"
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- MINDNET_HASH_MODE: "body" | "frontmatter" | "body+frontmatter" (Default: body)
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- MINDNET_HASH_NORMALIZE: "canonical" (Default) | "none"
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- MINDNET_HASH_NORMALIZE: "canonical" | "none" (Default: canonical)
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- MINDNET_NOTE_SCOPE_REFS: "true"|"false" (Default: false)
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CLI (übersteuert ENV)
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CLI (übersteuert ENV)
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---------------------
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---------------------
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--hash-mode body|frontmatter|body+frontmatter
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--hash-mode body|frontmatter|body+frontmatter
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--hash-normalize canonical|none
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--hash-normalize canonical|none
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--note-scope-refs
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Aufruf
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Aufruf
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------
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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
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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 --apply --purge-before-upsert
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python3 -m scripts.import_markdown --vault ./vault --apply --hash-normalize none
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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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# Feingranulare Erkennung (jede Kleinigkeit im Body zählt):
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python3 -m scripts.import_markdown --vault ./vault --hash-normalize none
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"""
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"""
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from __future__ import annotations
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from __future__ import annotations
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import argparse
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import argparse
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import json
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import json
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import os
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import os
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import sys
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import sys
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from typing import Dict, List, Optional, Tuple
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from typing import List, Tuple, Optional
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from dotenv import load_dotenv
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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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from qdrant_client.http import models as rest
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@ -51,12 +49,17 @@ from app.core.parser import (
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read_markdown,
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read_markdown,
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normalize_frontmatter,
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normalize_frontmatter,
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validate_required_frontmatter,
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validate_required_frontmatter,
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extract_wikilinks,
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)
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)
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from app.core.note_payload import make_note_payload
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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.chunker import assemble_chunks
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from app.core.chunk_payload import make_chunk_payloads
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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.edges import build_edges_for_note
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from app.core.qdrant import (
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QdrantConfig,
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get_client,
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ensure_collections,
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ensure_payload_indexes,
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)
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from app.core.qdrant_points import (
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from app.core.qdrant_points import (
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points_for_chunks,
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points_for_chunks,
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points_for_note,
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points_for_note,
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@ -71,9 +74,9 @@ except Exception:
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embed_one = None
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embed_one = None
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# -----------------------------------------------------------------------------
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# -----------------------------
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# Hilfsfunktionen
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# Utils
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# -----------------------------------------------------------------------------
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# -----------------------------
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def iter_md(root: str) -> List[str]:
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def iter_md(root: str) -> List[str]:
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out: List[str] = []
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out: List[str] = []
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@ -94,8 +97,7 @@ def collections(prefix: str) -> Tuple[str, str, str]:
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def fetch_existing_note_hash(client, prefix: str, note_id: str) -> Optional[str]:
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def fetch_existing_note_hash(client, prefix: str, note_id: str) -> Optional[str]:
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notes_col, _, _ = collections(prefix)
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notes_col, _, _ = collections(prefix)
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f = rest.Filter(must=[rest.FieldCondition(
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f = rest.Filter(must=[rest.FieldCondition(
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key="note_id",
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key="note_id", match=rest.MatchValue(value=note_id)
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match=rest.MatchValue(value=note_id),
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)])
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)])
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points, _ = client.scroll(
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points, _ = client.scroll(
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collection_name=notes_col,
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collection_name=notes_col,
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)
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)
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if not points:
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if not points:
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return None
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return None
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pl = points[0].payload or {}
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return (points[0].payload or {}).get("hash_fulltext")
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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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_, chunks_col, edges_col = collections(prefix)
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f_chunks = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
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client.delete(collection_name=chunks_col, points_selector=f_chunks, wait=True)
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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 _normalize_rel_path(abs_path: str, vault_root: str) -> str:
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def _normalize_rel_path(abs_path: str, vault_root: str) -> str:
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try:
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try:
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@ -130,9 +118,9 @@ def _normalize_rel_path(abs_path: str, vault_root: str) -> str:
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return rel.replace("\\", "/").lstrip("/")
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return rel.replace("\\", "/").lstrip("/")
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# -----------------------------------------------------------------------------
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# -----------------------------
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# Main
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# Main
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# -----------------------------------------------------------------------------
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# -----------------------------
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def main() -> None:
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def main() -> None:
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load_dotenv()
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load_dotenv()
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ap.add_argument("--embed-note", action="store_true", help="Optional: Note-Volltext einbetten")
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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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ap.add_argument("--force-replace", action="store_true",
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help="Änderungserkennung ignorieren und immer upserten (+ optional Purge)")
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help="Änderungserkennung ignorieren und immer upserten (+ optional Purge)")
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# NEU: Hash-Steuerung per CLI
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ap.add_argument("--hash-mode", choices=["body", "frontmatter", "body+frontmatter"], default=None)
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ap.add_argument("--hash-mode", choices=["body", "frontmatter", "body+frontmatter"], default=None)
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ap.add_argument("--hash-normalize", choices=["canonical", "none"], default=None)
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ap.add_argument("--hash-normalize", choices=["canonical", "none"], default=None)
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ap.add_argument("--note-scope-refs", action="store_true",
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help="(Optional) erzeugt zusätzlich references:note (Default: aus)")
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args = ap.parse_args()
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args = ap.parse_args()
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note_scope_refs_env = (os.environ.get("MINDNET_NOTE_SCOPE_REFS", "false").strip().lower() == "true")
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note_scope_refs = args.note_scope_refs or note_scope_refs_env
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cfg = QdrantConfig.from_env()
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cfg = QdrantConfig.from_env()
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client = get_client(cfg)
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client = get_client(cfg)
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ensure_collections(client, cfg.prefix, cfg.dim)
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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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ensure_payload_indexes(client, cfg.prefix) # <— Neu: Indizes
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root = os.path.abspath(args.vault)
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root = os.path.abspath(args.vault)
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files = iter_md(root)
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files = iter_md(root)
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processed += 1
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processed += 1
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# Note-Payload (mit expliziten Hash-Parametern)
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# Note-Payload inkl. Hash-Steuerung (per CLI/ENV)
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note_pl = make_note_payload(parsed, vault_root=root,
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note_pl = make_note_payload(parsed, vault_root=root,
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hash_mode=args.hash_mode, hash_normalize=args.hash_normalize)
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hash_mode=args.hash_mode, hash_normalize=args.hash_normalize) # type: ignore[arg-type]
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if "fulltext" not in (note_pl or {}):
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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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note_pl["fulltext"] = parsed.body or ""
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if note_pl.get("path"):
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if note_pl.get("path"):
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chunks = assemble_chunks(fm["id"], parsed.body, fm.get("type", "concept"))
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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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chunk_pls = make_chunk_payloads(fm, note_pl["path"], chunks)
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if embed_texts:
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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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vecs = embed_texts([getattr(c, "text", "") for c in chunks]) # type: ignore[attr-defined]
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else:
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else:
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vecs = [[0.0] * cfg.dim for _ in chunks]
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vecs = [[0.0] * cfg.dim for _ in chunks]
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# Edges (leichtgewichtig direkt hier ableiten)
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# Edges (nur NEUES Schema, mit note_id als Owner)
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# belongs_to / prev/next aus Chunk-Nachbarschaften + Wikilinks als references
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note_refs = note_pl.get("references") or []
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edges: List[Dict] = []
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edges = build_edges_for_note(
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for ch in chunk_pls:
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note_id,
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cid = ch["id"]
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chunk_pls,
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edges.append({"src_id": cid, "dst_id": note_id, "edge_type": "belongs_to", "scope": "chunk"})
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note_refs,
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nb = ch.get("neighbors") or {}
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include_note_scope_refs=note_scope_refs,
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if nb.get("prev"):
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)
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edges.append({"src_id": nb["prev"], "dst_id": cid, "edge_type": "next", "scope": "chunk"})
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edges.append({"src_id": cid, "dst_id": nb["prev"], "edge_type": "prev", "scope": "chunk"})
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if nb.get("next"):
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edges.append({"src_id": cid, "dst_id": nb["next"], "edge_type": "next", "scope": "chunk"})
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edges.append({"src_id": nb["next"], "dst_id": cid, "edge_type": "prev", "scope": "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 tid:
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edges.append({"src_id": cid, "dst_id": tid, "edge_type": "references", "scope": "chunk"})
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for tid in (note_pl.get("references") or []):
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edges.append({"src_id": note_id, "dst_id": tid, "edge_type": "references", "scope": "note"})
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edges.append({"src_id": tid, "dst_id": note_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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_uniq[(e["src_id"], e["dst_id"], e["edge_type"], e.get("scope", ""))] = e
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edges = list(_uniq.values())
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# Zusammenfassung
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# Zusammenfassung
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summary = {
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summary = {
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"path": note_pl["path"],
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"path": note_pl["path"],
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"hash_mode": args.hash_mode or os.environ.get("MINDNET_HASH_MODE", "body"),
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"hash_mode": args.hash_mode or os.environ.get("MINDNET_HASH_MODE", "body"),
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"hash_normalize": args.hash_normalize or os.environ.get("MINDNET_HASH_NORMALIZE", "canonical"),
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"hash_normalize": args.hash_normalize or os.environ.get("MINDNET_HASH_NORMALIZE", "canonical"),
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"hash_old": old_hash,
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"note_scope_refs": note_scope_refs,
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"hash_new": new_hash,
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}
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}
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print(json.dumps(summary, ensure_ascii=False))
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print(json.dumps(summary, ensure_ascii=False))
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continue
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continue
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if changed and args.purge_before_upsert:
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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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# gezieltes Löschen: jetzt performant per note_id-Index
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_, chunks_col, edges_col = collections(cfg.prefix)
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f_chunks = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
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client.delete(collection_name=chunks_col, points_selector=f_chunks, wait=True)
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f_edges = rest.Filter(must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))])
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client.delete(collection_name=edges_col, points_selector=f_edges, wait=True)
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# Upsert Notes / Chunks / Edges
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notes_name, note_pts = points_for_note(cfg.prefix, note_pl, None, cfg.dim)
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notes_name, note_pts = points_for_note(cfg.prefix, note_pl, None, cfg.dim)
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upsert_batch(client, notes_name, note_pts)
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upsert_batch(client, notes_name, note_pts)
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