Dateien nach "scripts" hochladen

scripts/import_markdown.py

@@ -1,247 +1,3 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Script: scripts/import_markdown.py — Markdown → Qdrant (Notes, Chunks, Edges)
-Version: 3.8.3
-Datum: 2025-11-08
-
-Änderungen gegenüber 3.8.2
---------------------------
-- Ruft **ensure_collections nie direkt** auf, sondern ausschließlich über
-  `_ensure_collections_compat(client, cfg, dim)`.
-- Payload-Index-Erzeugung ausschließlich via `_ensure_payload_indexes_compat(client, cfg)`.
-- Keine Annahmen über Signaturen im Projektstand; alle Varianten sind abgefedert.
-"""
-from __future__ import annotations
-
-import argparse
-import json
-import os
-import sys
-from typing import Dict, List, Optional, Tuple, Any, Set
-
-from dotenv import load_dotenv
-from qdrant_client.http import models as rest
-
-from app.core.parser import (
-    read_markdown,
-    normalize_frontmatter,
-    validate_required_frontmatter,
-)
-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:
-    from app.core.derive_edges import build_edges_for_note
-except Exception:  # pragma: no cover
-    from app.core.edges import build_edges_for_note  # type: ignore
-
-# Qdrant-Basics
-from app.core.qdrant import (
-    QdrantConfig,
-    get_client,
-    ensure_collections,  # nur für Wrapper, unten niemals direkt aufrufen!
-)
-
-# Abwärtskompatibler Import für Payload-Index-Erzeugung
-try:
-    from app.core.qdrant import ensure_payload_indexes as _ensure_payload_indexes
-except Exception:
-    try:
-        from app.core.qdrant import ensure_payload_indices as _ensure_payload_indexes  # älterer Funktionsname
-    except Exception:
-        def _ensure_payload_indexes(*_args, **_kwargs):
-            # No-Op: ältere Releases ohne dedizierte Index-Funktion
-            return None
-
-# Qdrant-Points Helfer (robust gegen ältere Namen/fehlende Module)
-try:
-    from app.core.qdrant_points import (
-        points_for_chunks as _points_for_chunks,
-        points_for_note as _points_for_note,
-        points_for_edges as _points_for_edges,
-        upsert_batch as _upsert_batch,
-    )
-except Exception:
-    # Lokale Fallback-Implementierungen (No-Break)
-    from qdrant_client.http import models as _rest
-
-    def _collection_names(prefix: str):
-        return f"{prefix}_notes", f"{prefix}_chunks", f"{prefix}_edges"
-
-    def _points_for_note(prefix: str, note_payload: dict, note_vec, dim: int):
-        notes_col, _, _ = _collection_names(prefix)
-        vec = note_vec if note_vec is not None else [0.0] * int(dim)
-        pid = note_payload.get("note_id") or note_payload.get("id") or "missing-note-id"
-        pt = _rest.PointStruct(id=str(pid), vector=vec, payload=note_payload)
-        return notes_col, [pt]
-
-    def _points_for_chunks(prefix: str, chunk_payloads: list[dict], vectors: list[list[float]]):
-        _, chunks_col, _ = _collection_names(prefix)
-        pts = []
-        for i, pl in enumerate(chunk_payloads):
-            pid = pl.get("chunk_id") or pl.get("id") or f"{pl.get('note_id','missing')}#{i+1}"
-            vec = vectors[i] if i < len(vectors) else None
-            if vec is None:
-                continue
-            pts.append(_rest.PointStruct(id=str(pid), vector=vec, payload=pl))
-        return chunks_col, pts
-
-    def _points_for_edges(prefix: str, edges: list[dict]):
-        _, _, edges_col = _collection_names(prefix)
-        pts = []
-        for i, e in enumerate(edges):
-            # stabiler String-ID-Aufbau
-            src = e.get("source_id") or e.get("src_id") or "src"
-            dst = e.get("target_id") or e.get("dst_id") or "dst"
-            kind = e.get("kind") or e.get("edge_type") or "edge"
-            nid = e.get("note_id") or "note"
-            pid = f"{nid}:{kind}:{src}->{dst}:{i}"
-            pts.append(_rest.PointStruct(id=str(pid), vector=None, payload=e))
-        return edges_col, pts
-
-    def _upsert_batch(client, collection_name: str, points: list):
-        if not points:
-            return
-        client.upsert(collection_name=collection_name, points=points, wait=True)
-
-# NEU: Type-Registry (optional)
-try:
-    from app.core.type_registry import load_type_registry, resolve_note_type, get_type_config, effective_chunk_profile
-except Exception:
-    load_type_registry = None  # type: ignore
-    resolve_note_type = None  # type: ignore
-    get_type_config = None  # type: ignore
-    effective_chunk_profile = None  # type: ignore
-
-try:
-    from app.core.embed import embed_texts  # optional
-except Exception:
-    embed_texts = None
-
-
-# ---------------------------------------------------------------------
-# Helper
-# ---------------------------------------------------------------------
-
-def iter_md(root: str) -> List[str]:
-    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)
-
-
-def collections(prefix: str) -> Tuple[str, str, str]:
-    return f"{prefix}_notes", f"{prefix}_chunks", f"{prefix}_edges"
-
-
-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,
-    )
-    if not points:
-        return None
-    return points[0].payload or {}
-
-
-def list_qdrant_note_ids(client, prefix: str) -> Set[str]:
-    notes_col, _, _ = collections(prefix)
-    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,
-        )
-        if not pts:
-            break
-        for p in pts:
-            pl = p.payload or {}
-            nid = pl.get("note_id")
-            if isinstance(nid, str):
-                out.add(nid)
-        if next_page is None:
-            break
-    return out
-
-
-def purge_note_artifacts(client, prefix: str, note_id: str) -> None:
-    _, chunks_col, edges_col = collections(prefix)
-    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
-            )
-        except Exception as e:
-            print(json.dumps({"note_id": note_id, "warn": f"delete in {col} via filter failed: {e}"}))
-
-
-def delete_note_everywhere(client, prefix: str, note_id: str) -> None:
-    notes_col, chunks_col, edges_col = collections(prefix)
-    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
-            )
-        except Exception as e:
-            print(json.dumps({"note_id": note_id, "warn": f"delete in {col} failed: {e}"}))
-
-
-def _resolve_mode(val: Optional[str]) -> str:
-    v = (val or os.environ.get("MINDNET_HASH_MODE") or os.environ.get("MINDNET_HASH_COMPARE") or "body").strip().lower()
-    if v in ("full", "fulltext", "body+frontmatter", "bodyplusfrontmatter"):
-        return "full"
-    if v in ("frontmatter", "fm"):
-        return "frontmatter"
-    return "body"
-
-
-def _env(key: str, default: str) -> str:
-    return (os.environ.get(key) or default).strip().lower()
-
-
-def _resolve_dim(cfg) -> int:
-    # Try common attribute names on QdrantConfig
-    for attr in ("dim", "vector_dim", "dimension", "dimensions", "embedding_dim", "embed_dim", "vector_size", "size"):
-        try:
-            v = getattr(cfg, attr)
-            if isinstance(v, int) and v > 0:
-                return v
-        except Exception:
-            pass
-    # Try environment fallbacks
-    for key in ("MINDNET_DIM", "EMBED_DIM", "EMBEDDING_DIM", "QDRANT_VECTOR_DIM", "QDRANT_DIM", "VECTOR_DIM", "DIM"):
-        try:
-            v = int(os.environ.get(key, "").strip() or "0")
-            if v > 0:
-                return v
-        except Exception:
-            continue
-    # Conservative default: MiniLM 384d (im Projekt üblich)
-    return 384
-
 
 # ---- Compatibility wrappers (no direct calls to project-specific signatures) ----
 def _ensure_collections_compat(client, cfg, dim):
@@ -453,7 +209,15 @@ def main() -> 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)
+        new_hash_exact = (note_pl.get(
+
+# Deterministic UUIDv5 for stable Qdrant point IDs
+import uuid as _uuid
+_MN_NAMESPACE = _uuid.uuid5(_uuid.NAMESPACE_URL, "mindnet-default-namespace")
+def _uuid5_deterministic(*parts: str) -> str:
+    base = ":".join(str(p) for p in parts if p is not None)
+    return str(_uuid.uuid5(_MN_NAMESPACE, base))
+"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)