#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
scripts/import_markdown.py

Zweck
-----
- Liest Markdown-Notizen aus einem Vault ein
- Erzeugt Note-Payload, Chunk-Payloads (+ optionale Embeddings) und Edges
- Schreibt alles idempotent in Qdrant (Notes, Chunks, Edges)
- Integriert eine optionale Type-Registry (types.yaml), um z. B. chunk_profile
  und retriever_weight pro Notiz-Typ zu steuern.

Wesentliche Fixes ggü. vorherigen fehlerhaften Ständen
------------------------------------------------------
- `embed_texts` wird optional importiert und defensiv geprüft (kein NameError mehr)
- `effective_chunk_profile` / `effective_retriever_weight` und Registry-Helfer
  sind VOR `main()` definiert (kein NameError mehr)
- `retriever_weight` wird in Note- und Chunk-Payload zuverlässig gesetzt
- Robuste Kantenbildung; Fehler bei Edges blockieren Notes/Chunks nicht
- Korrekte Verwendung von `scroll_filter` beim Qdrant-Client
- `--purge-before-upsert` entfernt alte Chunks/Edges einer Note vor dem Upsert

Qdrant / ENV
------------
- QDRANT_URL | QDRANT_HOST/QDRANT_PORT | QDRANT_API_KEY
- COLLECTION_PREFIX (Default: mindnet), via --prefix überschreibbar
- VECTOR_DIM (Default: 384)
- MINDNET_NOTE_SCOPE_REFS: true|false (Default: false)
- MINDNET_TYPES_FILE: Pfad zu types.yaml (optional; Default: ./types.yaml)

Beispiele
---------
    # Standard (Body, parsed, canonical)
    python3 -m scripts.import_markdown --vault ./vault

    # Erstimport nach truncate (Create-Fall)
    python3 -m scripts.import_markdown --vault ./vault --apply --purge-before-upsert

    # Nur eine Datei (Diagnose)
    python3 -m scripts.import_markdown --vault ./vault --only-path ./vault/30_projects/project-demo.md --apply

    # Sync-Deletes (Dry-Run → Apply)
    python3 -m scripts.import_markdown --vault ./vault --sync-deletes
    python3 -m scripts.import_markdown --vault ./vault --sync-deletes --apply
"""
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

# --- 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:  # pragma: no cover
    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 sind optional (z. B. im reinen Payload-Backfill)
try:
    from app.core.embed import embed_texts  # optional
except Exception:  # pragma: no cover
    embed_texts = None


# ---------------------------------------------------------------------
# Type-Registry (types.yaml) – Helper (robust, optional)
# ---------------------------------------------------------------------

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

def _load_json_or_yaml(path: str) -> dict:
    import io
    data: dict = {}
    if not path or not os.path.exists(path):
        return data
    try:
        import yaml  # type: ignore
        with io.open(path, "r", encoding="utf-8") as f:
            data = yaml.safe_load(f) or {}
        if not isinstance(data, dict):
            return {}
        return data
    except Exception:
        # YAML evtl. nicht installiert – versuche JSON
        try:
            with io.open(path, "r", encoding="utf-8") as f:
                data = json.load(f)
            if not isinstance(data, dict):
                return {}
            return data
        except Exception:
            return {}

def load_type_registry() -> dict:
    # Reihenfolge: ENV > ./types.yaml (im aktuellen Arbeitsverzeichnis)
    p = _env("MINDNET_TYPES_FILE", None)
    if p and os.path.exists(p):
        return _load_json_or_yaml(p)
    fallback = os.path.abspath("./types.yaml")
    return _load_json_or_yaml(fallback)

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

def resolve_note_type(requested: Optional[str], reg: dict) -> str:
    if requested and isinstance(requested, str):
        return requested
    # Fallback wenn nichts gesetzt ist
    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) and prof in {"short", "medium", "long"}:
        return prof
    return None

def effective_retriever_weight(note_type: str, reg: dict) -> Optional[float]:
    cfg = get_type_config(note_type, reg)
    w = cfg.get("retriever_weight")
    try:
        return float(w) if w is not None else None
    except Exception:
        return None


# ---------------------------------------------------------------------
# Sonstige 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,  # wichtig: scroll_filter (nicht: filter)
        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}"}))


# ---------------------------------------------------------------------
# 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, help="Pfad zum Vault (Ordner mit .md-Dateien)")
    ap.add_argument("--only-path", help="Nur diese Datei verarbeiten (absolut oder relativ)")
    ap.add_argument("--apply", action="store_true", help="Schreibt nach Qdrant (sonst Dry-Run)")
    ap.add_argument("--purge-before-upsert", action="store_true", help="Alte Chunks/Edges der Note vorher löschen")
    ap.add_argument("--force-replace", action="store_true", help="Note/Chunks/Edges unabhängig von Hash neu schreiben")
    ap.add_argument("--note-id", help="Nur Notes mit dieser ID verarbeiten (Filter)")
    ap.add_argument("--note-scope-refs", action="store_true", help="Note-scope References/Backlinks erzeugen")
    ap.add_argument("--hash-mode", help="body|frontmatter|full (Default body)")
    ap.add_argument("--hash-source", help="parsed|raw (Default parsed)")
    ap.add_argument("--hash-normalize", help="canonical|none (Default canonical)")
    ap.add_argument("--compare-text", action="store_true", help="Parsed fulltext zusätzlich direkt vergleichen")
    ap.add_argument("--baseline-modes", action="store_true", help="Fehlende Hash-Varianten still nachtragen (Notes)")
    ap.add_argument("--sync-deletes", action="store_true", help="Qdrant->Vault Lösch-Sync (Dry-Run; mit --apply ausführen)")
    ap.add_argument("--prefix", help="Collection-Prefix (überschreibt ENV COLLECTION_PREFIX)")
    args = ap.parse_args()

    mode = _resolve_mode(args.hash_mode)  # body|frontmatter|full
    src = _env("MINDNET_HASH_SOURCE", args.hash_source or "parsed")  # parsed|raw
    norm = _env("MINDNET_HASH_NORMALIZE", args.hash_normalize or "canonical")  # canonical|none
    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")

    # Qdrant
    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)

    # Type-Registry laden (optional)
    reg = load_type_registry()

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

    # Dateiliste
    if args.only_path:
        only = os.path.abspath(args.only_path)
        files = [only]
    else:
        files = iter_md(root)
    if not files:
        print("Keine Markdown-Dateien gefunden.", file=sys.stderr)
        sys.exit(2)

    # Optional: Sync-Deletes vorab
    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 prüfen ---
        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

        # --- Type-Registry anwenden (chunk_profile / retriever_weight) ---
        try:
            note_type = resolve_note_type(fm.get("type"), reg)
        except Exception:
            note_type = (fm.get("type") or "concept")
        fm["type"] = note_type or fm.get("type") or "concept"

        prof = effective_chunk_profile(note_type, reg)
        if prof:
            fm["chunk_profile"] = prof

        weight = effective_retriever_weight(note_type, reg)
        if weight is not None:
            try:
                fm["retriever_weight"] = float(weight)
            except Exception:
                pass  # falls FM string-inkonsistent ist

        # --- Payload aufbauen (inkl. Hashes) ---
        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

        if not note_pl.get("fulltext"):
            note_pl["fulltext"] = getattr(parsed, "body", "") or ""

        # retriever_weight sicher in Note-Payload spiegeln (für spätere Filter)
        if "retriever_weight" not in note_pl and fm.get("retriever_weight") is not None:
            try:
                note_pl["retriever_weight"] = float(fm.get("retriever_weight"))
            except Exception:
                pass

        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

        # --- bestehenden Payload laden (zum Diff) ---
        old_payload = None if args.force_replace else 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
        if compare_text:
            old_text = (old_payload or {}).get("fulltext") or ""
            new_text = note_pl.get("fulltext") or ""
            text_changed = (old_text != new_text)

        changed = args.force_replace or (not has_old) or hash_changed or text_changed
        do_baseline_only = (args.baseline_modes and has_old and needs_baseline and not changed)

        # --- Chunks + Embeddings ---
        try:
            body_text = getattr(parsed, "body", "") or ""
            chunks = assemble_chunks(fm["id"], body_text, fm.get("type", "concept"))
            chunk_pls: List[Dict[str, Any]] = make_chunk_payloads(fm, note_pl["path"], chunks, note_text=body_text)
        except Exception as e:
            print(json.dumps({"path": path, "note_id": note_id, "error": f"chunk build failed: {type(e).__name__}: {e}"}))
            continue

        # retriever_weight auf Chunk-Payload spiegeln
        if fm.get("retriever_weight") is not None:
            try:
                rw = float(fm.get("retriever_weight"))
                for pl in chunk_pls:
                    # Feld nur setzen, wenn noch nicht vorhanden
                    if "retriever_weight" not in pl:
                        pl["retriever_weight"] = rw
            except Exception:
                pass

        # Embeddings (fallback: Nullvektoren)
        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}"}))

        # --- Edges (robust) ---
        edges: List[Dict[str, Any]] = []
        edges_failed = False
        if changed and (not do_baseline_only):
            try:
                note_refs = note_pl.get("references") or []
                edges = build_edges_for_note(
                    note_id,
                    chunk_pls,
                    note_level_references=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 (stdout) ---
        summary = {
            "note_id": note_id,
            "title": fm.get("title"),
            "chunks": len(chunk_pls),
            "edges": len(edges),
            "edges_failed": edges_failed,
            "changed": changed,
            "needs_baseline_for_mode": needs_baseline,
            "decision": ("baseline-only" if args.apply and do_baseline_only else
                         "apply" if args.apply and changed else
                         "apply-skip-unchanged" if args.apply and not changed else
                         "dry-run"),
            "path": note_pl["path"],
            "hash_mode": mode,
            "hash_normalize": norm,
            "hash_source": src,
            "prefix": cfg.prefix,
        }
        print(json.dumps(summary, ensure_ascii=False))

        # --- Writes ---
        if not args.apply:
            continue

        if do_baseline_only:
            merged_hashes = {}
            merged_hashes.update(old_hashes)
            merged_hashes.update(note_pl.get("hashes") or {})
            if old_payload:
                note_pl["hash_fulltext"] = old_payload.get("hash_fulltext", note_pl.get("hash_fulltext"))
                note_pl["hash_signature"] = old_payload.get("hash_signature", note_pl.get("hash_signature"))
            note_pl["hashes"] = merged_hashes
            notes_name, note_pts = points_for_note(cfg.prefix, note_pl, None, cfg.dim)
            upsert_batch(client, notes_name, note_pts)
            continue

        if not changed:
            continue

        if args.purge_before_upsert and has_old:
            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}"}))

        notes_name, note_pts = points_for_note(cfg.prefix, note_pl, None, cfg.dim)
        upsert_batch(client, notes_name, note_pts)
        if chunk_pls:
            chunks_name, chunk_pts = points_for_chunks(cfg.prefix, chunk_pls, vecs)
            upsert_batch(client, chunks_name, chunk_pts)
        if edges:
            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()