mindnet/scripts/import_markdown.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
scripts/import_markdown.py  (Mindnet V2 — Importer, v2.5.2)

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

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
import yaml

# --- Projekt-Imports ---
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:
    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

# embeddings optional
try:
    from app.core.embed import embed_texts  # optional
except Exception:
    embed_texts = None  # type: ignore


# ============================================================
# Type-Registry
# ============================================================

def _env(name: str, default: Optional[str] = None) -> str:
    v = os.getenv(name)
    return v if v is not None else (default or "")

def _deep_get(root: Any, path: str) -> Any:
    cur = root
    for key in path.split("."):
        if not isinstance(cur, dict) or key not in cur:
            return None
        cur = cur[key]
    return cur

def _as_float(x: Any) -> Optional[float]:
    try:
        return float(x)
    except Exception:
        return None

def load_type_registry() -> dict:
    path = _env("MINDNET_TYPES_FILE", "./config/types.yaml")
    if not os.path.isfile(path):
        return {}
    try:
        with open(path, "r", encoding="utf-8") as f:
            return yaml.safe_load(f) or {}
    except Exception:
        return {}

def get_type_config(note_type: Optional[str], reg: dict) -> dict:
    if not note_type or not isinstance(reg, dict):
        return {}
    types = reg.get("types", {}) if isinstance(reg.get("types"), dict) else {}
    return types.get(note_type, {}) if isinstance(types, dict) else {}

def resolve_note_type(requested: Optional[str], reg: dict) -> str:
    if requested and isinstance(requested, str):
        return requested
    types = reg.get("types", {}) if isinstance(reg.get("types"), dict) else {}
    return "concept" if "concept" in types else (requested or "concept")

def effective_chunk_profile(note_type: str, reg: dict) -> Optional[str]:
    cfg = get_type_config(note_type, reg)
    prof = cfg.get("chunk_profile")
    if isinstance(prof, str):
        return prof
    return None

def effective_retriever_weight_from_registry(note_type: str, reg: dict) -> Tuple[Optional[float], Optional[str]]:
    candidates = [
        f"types.{note_type}.retriever_weight",
        f"types.{note_type}.retriever.weight",
        f"types.{note_type}.retrieval.weight",
        "defaults.retriever_weight",
        "defaults.retriever.weight",
        "global.retriever_weight",
        "global.retriever.weight",
    ]
    for path in candidates:
        val = _deep_get(reg, path)
        v = _as_float(val)
        if v is not None:
            return v, path
    return None, None

def compute_effective_retriever_weight(fm: Dict[str, Any], note_type: str, reg: dict) -> Tuple[float, str]:
    if fm.get("retriever_weight") is not None:
        v = _as_float(fm.get("retriever_weight"))
        if v is not None:
            return v, "frontmatter.retriever_weight"
    r, rpath = effective_retriever_weight_from_registry(note_type, reg)
    if r is not None:
        return float(r), f"types.yaml:{rpath}"
    return 1.0, "default:1.0"


# ============================================================
# Qdrant Helpers
# ============================================================

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 _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)
    return bool(pts)

def artifacts_missing(client, prefix: str, note_id: str) -> Tuple[bool, bool]:
    _, chunks_col, edges_col = collections(prefix)
    chunks_missing = not _has_any_point(client, chunks_col, note_id)
    edges_missing = not _has_any_point(client, edges_col, note_id)
    return chunks_missing, edges_missing


# ============================================================
# Main
# ============================================================

def _resolve_mode(m: Optional[str]) -> str:
    m = (m or "body").strip().lower()
    return m if m in {"body", "frontmatter", "full"} else "body"

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)
    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)
    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")

    cfg = QdrantConfig.from_env()
    if args.prefix:
        cfg.prefix = args.prefix.strip()
    client = get_client(cfg)
    ensure_collections(client, cfg.prefix, cfg.dim)
    ensure_payload_indexes(client, cfg.prefix)

    reg = load_type_registry()
    types_cfg_node = reg.get("types") if isinstance(reg, dict) else {}

    root = os.path.abspath(args.vault)

    # Datei-Liste
    if args.only_path:
        files = [os.path.abspath(args.only_path)]
    else:
        files: List[str] = []
        for dirpath, _, filenames in os.walk(root):
            for fn in filenames:
                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/"]):
                        continue
                    files.append(p)
        files.sort()
    if not files:
        print("Keine Markdown-Dateien gefunden.", file=sys.stderr)
        sys.exit(2)

    # Optional: Sync-Deletes
    if args.sync_deletes:
        vault_note_ids: Set[str] = set()
        for path in files:
            try:
                parsed = read_markdown(path)
                if not parsed:
                    continue
                fm = normalize_frontmatter(parsed.frontmatter)
                nid = fm.get("id")
                if isinstance(nid, str):
                    vault_note_ids.add(nid)
            except Exception:
                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))
        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)
            if not parsed:
                continue
        except Exception as e:
            print(json.dumps({"path": path, "error": f"read_markdown failed: {type(e).__name__}: {e}"}))
            continue

        # Frontmatter
        try:
            fm = normalize_frontmatter(parsed.frontmatter)
            validate_required_frontmatter(fm)
        except Exception as e:
            print(json.dumps({"path": path, "error": f"Frontmatter invalid: {type(e).__name__}: {e}"}))
            continue

        if args.note_id and not args.only_path and fm.get("id") != args.note_id:
            continue

        processed += 1

        # Typ + Profile/Weight
        note_type = resolve_note_type(fm.get("type"), reg)
        fm["type"] = note_type or fm.get("type") or "concept"
        prof = effective_chunk_profile(note_type, reg)
        if prof:
            fm["chunk_profile"] = prof
        rw, rw_source = compute_effective_retriever_weight(fm, note_type, reg)
        fm["retriever_weight"] = rw

        # Note-Payload
        try:
            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

        # 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

        # 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
        # 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

        # Feld-basierte Change-Erkennung (erzwingt Update, wenn Werte nicht stimmen)
        if has_old:
            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

        # Chunks
        try:
            body_text = getattr(parsed, "body", "") or ""
            chunks = assemble_chunks(fm["id"], body_text, fm.get("type", "concept"))
            # 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,
                "note_id": note_pl.get("note_id"),
                "tags": fm.get("tags"),
            }
            chunk_pls: List[Dict[str, Any]] = make_chunk_payloads(
                chunk_note,
                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 {}),
                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

        # 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
            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 (optional)
        vecs: List[List[float]] = [[0.0] * int(cfg.dim) for _ in chunk_pls]
        if embed_texts and chunk_pls:
            try:
                texts_for_embed = [(pl.get("window") or pl.get("text") or "") for pl in chunk_pls]
                vecs = embed_texts(texts_for_embed)
            except Exception as e:
                print(json.dumps({"path": path, "note_id": note_id, "warn": f"embed_texts failed, using zeros: {e}"}))

        # Artefakte vorhanden?
        chunks_missing, edges_missing = artifacts_missing(client, cfg.prefix, note_id)

        # Edges
        edges: List[Dict[str, Any]] = []
        edges_failed = False
        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 ""
                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
        print(json.dumps({
            "note_id": note_id,
            "title": fm.get("title"),
            "type": fm.get("type"),
            "rw": rw,
            "chunk_profile": fm.get("chunk_profile"),
            "chunks": len(chunk_pls),
            "edges": len(edges),
            "changed": changed,
            "chunks_missing": chunks_missing,
            "edges_missing": edges_missing,
            "decision": ("apply" if args.apply else "dry-run"),
            "prefix": cfg.prefix,
            "path": note_pl["path"]
        }, ensure_ascii=False))

        # Writes
        if not args.apply:
            continue

        # 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
        if changed:
            notes_name, note_pts = points_for_note(cfg.prefix, note_pl, None, cfg.dim)
            upsert_batch(client, notes_name, note_pts)

        # 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 (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)

    print(f"Done. Processed notes: {processed}")


if __name__ == "__main__":
    main()