mindnet/app/core/chunk_payload.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Script: import_markdown.py — Markdown → Qdrant (Notes, Chunks, Edges)
Version: 3.1.1
Datum: 2025-09-09

Kurzbeschreibung
----------------
Liest Markdown-Dateien aus einem Vault ein und schreibt Notes, Chunks und Edges
idempotent nach Qdrant. Change-Detection basiert standardmäßig auf dem **Body-Hash**
(ENV: MINDNET_HASH_MODE). Persistiert zusätzlich den Volltext der Note unter
``payload.fulltext`` und speichert den Vault-Pfad relativ.

Abwärtskompatibilität
---------------------
- Keine harte Abhängigkeit mehr von nicht gelieferten Modulen (validate_note, embed, edges).
  * Embeddings: Nullvektor-Fallback (Dim aus ENV/Config).
  * Edges: werden aus Chunk-Payloads + Note-Refs lokal abgeleitet.
- IDs, Collections, Upsert-Semantik unverändert.

ENV / Qdrant
------------
- QDRANT_URL (oder QDRANT_HOST/QDRANT_PORT)
- QDRANT_API_KEY (optional)
- COLLECTION_PREFIX (Default: mindnet)
- VECTOR_DIM (Default: 384)
- MINDNET_HASH_MODE: "body" (Default) | "frontmatter" | "body+frontmatter"

Aufruf
------
    python3 -m scripts.import_markdown --vault ./vault
    python3 -m scripts.import_markdown --vault ./vault --apply
    python3 -m scripts.import_markdown --vault ./vault --apply --purge-before-upsert
    python3 -m scripts.import_markdown --vault ./vault --note-id 20250821-foo --apply
    python3 -m scripts.import_markdown --vault ./vault --apply --embed-note
"""

from __future__ import annotations

import argparse
import json
import os
import sys
from typing import Dict, List, Optional, Tuple

from dotenv import load_dotenv
from qdrant_client.http import models as rest

# Core/Projekt-Module (vorhanden)
from app.core.parser import (
    read_markdown,
    normalize_frontmatter,
    validate_required_frontmatter,
    extract_wikilinks,
)
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
from app.core.qdrant import QdrantConfig, get_client, ensure_collections
from app.core.qdrant_points import (
    points_for_chunks,
    points_for_note,
    points_for_edges,
    upsert_batch,
)

# Optionale Module (wenn nicht vorhanden → Fallback)
try:
    from app.core.embed import embed_texts, embed_one  # type: ignore
except Exception:
    embed_texts = None
    embed_one = None


# -----------------------------------------------------------------------------
# Hilfsfunktionen
# -----------------------------------------------------------------------------

def iter_md(root: str) -> List[str]:
    """Sammelt alle .md-Dateien unterhalb von root, filtert systemische Ordner."""
    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_hash(client, prefix: str, note_id: str) -> Optional[str]:
    """Liest den bisherigen hash_fulltext aus der Notes-Collection (falls vorhanden)."""
    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
    pl = points[0].payload or {}
    return pl.get("hash_fulltext")


def purge_note_artifacts(client, prefix: str, note_id: str) -> None:
    """
    Löscht alle Chunks+Edges zu einer Note. Collections bleiben bestehen.
    """
    _, chunks_col, edges_col = collections(prefix)

    # Chunks der Note löschen
    f_chunks = rest.Filter(
        must=[rest.FieldCondition(key="note_id", match=rest.MatchValue(value=note_id))]
    )
    client.delete(collection_name=chunks_col, points_selector=f_chunks, wait=True)

    # Edges der Note löschen (Chunk- und Note-Scope)
    should = [
        rest.FieldCondition(key="source_id", match=rest.MatchText(text=f"{note_id}#")),
        rest.FieldCondition(key="target_id", match=rest.MatchText(text=f"{note_id}#")),
        rest.FieldCondition(key="source_id", match=rest.MatchValue(value=note_id)),
        rest.FieldCondition(key="target_id", match=rest.MatchValue(value=note_id)),
    ]
    f_edges = rest.Filter(should=should)
    client.delete(collection_name=edges_col, points_selector=f_edges, wait=True)


def has_chunk_level_refs(chunk_payloads: List[Dict]) -> bool:
    return any(isinstance(ch.get("references"), list) and ch["references"] for ch in chunk_payloads)


def derive_edges(note_meta: Dict, chunk_payloads: List[Dict]) -> List[Dict]:
    """
    Erzeugt Edges aus den verfügbaren Payloads (ohne externe Abhängigkeiten).
    - belongs_to (chunk -> note)
    - prev/next (zwischen chunks)
    - references (aus chunk.references[*].target_id) – scope: chunk
    - backlink (note <-> note) aus note_meta['references'] (falls vorhanden) – scope: note
    """
    edges: List[Dict] = []

    # belongs_to + prev/next (Chunk-Scope)
    for ch in chunk_payloads:
        src = ch["id"]
        edges.append({"src_id": src, "dst_id": note_meta["id"], "edge_type": "belongs_to", "scope": "chunk"})
        nb = ch.get("neighbors") or {}
        prev_id = nb.get("prev")
        next_id = nb.get("next")
        if prev_id:
            edges.append({"src_id": prev_id, "dst_id": src, "edge_type": "next", "scope": "chunk"})
            edges.append({"src_id": src, "dst_id": prev_id, "edge_type": "prev", "scope": "chunk"})
        if next_id:
            edges.append({"src_id": src, "dst_id": next_id, "edge_type": "next", "scope": "chunk"})
            edges.append({"src_id": next_id, "dst_id": src, "edge_type": "prev", "scope": "chunk"})

        # references aus Chunk
        for ref in (ch.get("references") or []):
            tid = ref.get("target_id")
            if not tid:
                continue
            edges.append({"src_id": src, "dst_id": tid, "edge_type": "references", "scope": "chunk"})

    # Note-Scope references/backlink
    for tid in (note_meta.get("references") or []):
        edges.append({"src_id": note_meta["id"], "dst_id": tid, "edge_type": "references", "scope": "note"})
        edges.append({"src_id": tid, "dst_id": note_meta["id"], "edge_type": "backlink", "scope": "note"})

    # Dedupe
    uniq = {}
    for e in edges:
        key = (e["src_id"], e["dst_id"], e["edge_type"], e.get("scope", ""))
        uniq[key] = e
    return list(uniq.values())


def _normalize_rel_path(abs_path: str, vault_root: str) -> str:
    """Gibt einen **relativen** Pfad zurück, normalisiert auf forward slashes."""
    try:
        rel = os.path.relpath(abs_path, vault_root)
    except Exception:
        rel = abs_path  # Fallback
    return rel.replace("\\", "/").lstrip("/")


# -----------------------------------------------------------------------------
# Main
# -----------------------------------------------------------------------------

def main() -> None:
    load_dotenv()
    ap = argparse.ArgumentParser()
    ap.add_argument("--vault", required=True, help="Pfad zum Obsidian-Vault (Root-Ordner)")
    ap.add_argument("--apply", action="store_true", help="Schreibt in Qdrant; ohne Flag nur Dry-Run")
    ap.add_argument("--purge-before-upsert", action="store_true",
                    help="Vor Upsert Chunks & Edges der GEÄNDERTEN Note löschen")
    ap.add_argument("--note-id", help="Nur eine bestimmte Note-ID verarbeiten")
    ap.add_argument("--embed-note", action="store_true", help="Optional: Note-Volltext einbetten")
    ap.add_argument("--force-replace", action="store_true",
                    help="Änderungserkennung ignorieren und immer upserten (+ optional Purge)")
    args = ap.parse_args()

    # Qdrant
    cfg = QdrantConfig.from_env()
    client = get_client(cfg)
    ensure_collections(client, cfg.prefix, cfg.dim)
    notes_col, chunks_col, edges_col = collections(cfg.prefix)

    root = os.path.abspath(args.vault)
    files = iter_md(root)
    if not files:
        print("Keine Markdown-Dateien gefunden.", file=sys.stderr)
        sys.exit(2)

    processed = 0
    for path in files:
        parsed = read_markdown(path)
        fm = normalize_frontmatter(parsed.frontmatter)

        # Pflichtfelder prüfen (z. B. id, title) – bei Fehler: Note überspringen
        try:
            validate_required_frontmatter(fm)
        except Exception as e:
            print(json.dumps({"path": path, "error": f"Frontmatter invalid: {e}"}))
            continue

        if args.note_id and fm.get("id") != args.note_id:
            continue

        processed += 1

        # Note-Payload
        note_pl = make_note_payload(parsed, vault_root=root)
        if "fulltext" not in (note_pl or {}):
            note_pl["fulltext"] = parsed.body or ""
        if note_pl.get("path"):
            note_pl["path"] = _normalize_rel_path(
                os.path.join(root, note_pl["path"]) if not os.path.isabs(note_pl["path"]) else note_pl["path"], root
            )
        else:
            note_pl["path"] = _normalize_rel_path(parsed.path, root)

        note_id = note_pl["note_id"]

        # Change-Detection
        new_hash = note_pl.get("hash_fulltext")
        old_hash = None if args.force_replace else fetch_existing_note_hash(client, cfg.prefix, note_id)
        changed = args.force_replace or (old_hash != new_hash)

        # Chunks + Embeddings (mit Fallback Nullvektoren)
        chunks = assemble_chunks(fm["id"], parsed.body, fm.get("type", "concept"))
        chunk_pls = make_chunk_payloads(fm, note_pl["path"], chunks)
        if embed_texts:
            vecs = embed_texts([getattr(c, "text", "") for c in chunks])
        else:
            vecs = [[0.0] * cfg.dim for _ in chunks]

        # Optionaler Note-Vektor (Fallback Nullvektor)
        if args.embed_note and embed_one:
            note_vec = embed_one(parsed.body or "")
        elif args.embed_note:
            note_vec = [0.0] * cfg.dim
        else:
            note_vec = None

        # Edges lokal ableiten
        edges = derive_edges(fm | {"id": note_id, "references": note_pl.get("references")}, chunk_pls)

        # Zusammenfassung
        summary = {
            "note_id": note_id,
            "title": fm.get("title"),
            "chunks": len(chunk_pls),
            "edges": len(edges),
            "changed": changed,
            "decision": ("apply" if args.apply and changed else
                         "apply-skip-unchanged" if args.apply and not changed else
                         "dry-run"),
            "path": note_pl["path"],
        }
        print(json.dumps(summary, ensure_ascii=False))

        # Dry-Run?
        if not args.apply:
            continue

        # Optionaler Purge NUR für geänderte Notes
        if changed and args.purge_before_upsert:
            purge_note_artifacts(client, cfg.prefix, note_id)

        # Upserts: Notes / Chunks / Edges
        notes_name, note_pts = points_for_note(cfg.prefix, note_pl, note_vec, cfg.dim)
        upsert_batch(client, notes_name, note_pts)

        chunks_name, chunk_pts = points_for_chunks(cfg.prefix, chunk_pls, vecs)
        upsert_batch(client, chunks_name, chunk_pts)

        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()