app/core/note_payload.py aktualisiert

app/core/note_payload.py

@@ -1,248 +1,159 @@
+# note_payload.py
 """
-note_payload.py — v1.4.2
+Mindnet - Note Payload Builder
-------------------------
+Version: 1.4.3
-Robuste, abwärtskompatible Payload-Erzeugung für Notes.
+Beschreibung:
-
+- Robust gegenüber alten/neuen Aufrufsignaturen (toleriert *args, **kwargs).
-Ziele
+- Liest Typ-Defaults aus ./config/config.yaml oder ./config/types.yaml.
-- Setzt `retriever_weight`, `chunk_profile`, `edge_defaults` deterministisch.
+- Setzt in mindnet_notes u.a.:
-- Priorität: Frontmatter > Typ-Defaults (config/config.yaml oder config/types.yaml) > ENV > Fallback.
+  - retriever_weight (Frontmatter > Typ-Defaults > ENV > 1.0)
-- Akzeptiert ParsedNote-Objekte *oder* Dicts.
+  - chunk_profile   (Frontmatter > Typ-Defaults > ENV > "medium")
-- Verträgt zusätzliche kwargs (z. B. vault_root/search_root/cfg).
+  - edge_defaults   (Frontmatter > Typ-Defaults > [])
-- Keine Verwendung nicht-serialisierbarer Typen.
+  - path, type, title, note_id, tags, created/modified/date (falls vorhanden)
-
+- Garantiert JSON-serialisierbare Payloads.
-Hinweis
-- Diese Datei **lädt Konfig** nur opportunistisch (./config/config.yaml oder ./config/types.yaml relativ zum CWD
-  bzw. zu `search_root`/`vault_root`, falls übergeben). Wenn dein Aufrufer bereits eine Konfiguration geladen hat,
-  kann er sie via `types_config` kwarg übergeben (dict wie in deinem Beispiel).
-
-Autor: ChatGPT
-Lizenz: MIT
 """
+
 from __future__ import annotations
-
+from typing import Any, Dict, Optional
 import os
-from pathlib import Path
+import json
-from typing import Any, Dict, Optional, Union, List
+import pathlib
+import yaml
 
-try:
-    import yaml  # type: ignore
-except Exception:  # pragma: no cover - yaml ist optional, wir degradieren dann sauber
-    yaml = None  # type: ignore
-
-
-# ------------------------------
-# Hilfsfunktionen (keine I/O Magie)
-# ------------------------------
 
 def _as_dict(note: Any) -> Dict[str, Any]:
-    """Konvertiert eine ParsedNote-ähnliche Struktur robust in ein Dict."""
     if isinstance(note, dict):
-        return dict(note)
+        return note
-    # Objekt -> vorsichtig Attribute lesen
+    d: Dict[str, Any] = {}
-    out: Dict[str, Any] = {}
+    for attr in (
-    for attr in ("note_id", "id", "title", "type", "frontmatter", "meta", "body", "text", "content", "path"):
+        "id",
+        "note_id",
+        "title",
+        "path",
+        "frontmatter",
+        "meta",
+        "body",
+        "text",
+        "type",
+        "created",
+        "modified",
+        "chunks",
+        "tags",
+    ):
         if hasattr(note, attr):
-            out[attr] = getattr(note, attr)
+            d[attr] = getattr(note, attr)
-    # Manche Parser haben .data / .raw etc.
+    # manche Parser nutzen "metadata" statt "frontmatter"
-    if hasattr(note, "__dict__"):
+    if "frontmatter" not in d and hasattr(note, "metadata"):
-        # nichts überschreiben, nur fehlende ergänzen (nur einfache Typen)
+        d["frontmatter"] = getattr(note, "metadata")
-        for k, v in note.__dict__.items():
+    return d
-            if k not in out:
-                out[k] = v
-    return out
 
 
-def _safe_get(d: Dict[str, Any], key: str, default: Any = None) -> Any:
+def _load_types_config(explicit: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
-    """Dict-get ohne Mutation, akzeptiert fehlende Dicts."""
+    if isinstance(explicit, dict):
-    if not isinstance(d, dict):
+        return explicit
-        return default
+    for rel in ("config/config.yaml", "config/types.yaml"):
-    return d.get(key, default)
+        p = pathlib.Path(rel)
+        if p.exists():
+            with p.open("r", encoding="utf-8") as f:
+                data = yaml.safe_load(f) or {}
+            # zulässig: {"types": {...}} oder direkt {...}
+            if isinstance(data, dict) and "types" in data and isinstance(data["types"], dict):
+                return data["types"]
+            return data if isinstance(data, dict) else {}
+    return {}
 
 
-def _load_types_config(search_root: Optional[Union[str, Path]] = None,
+def _get_front(n: Dict[str, Any]) -> Dict[str, Any]:
-                       preloaded: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
+    fm = n.get("frontmatter") or n.get("meta") or {}
-    """Lädt Typ-Defaults aus config.yaml oder types.yaml (falls vorhanden).
+    return fm if isinstance(fm, dict) else {}
-    Struktur erwartet wie im Beispiel:
-    {
-      "version": "1.0",
-      "types": {
-        "concept": {"chunk_profile": "medium", "edge_defaults": [...], "retriever_weight": 0.33},
-        ...
-      }
-    }
-    """
-    if isinstance(preloaded, dict) and "types" in preloaded:
-        return preloaded
-
-    candidates: List[Path] = []
-    if search_root:
-        root = Path(search_root)
-        candidates.extend([root / "config.yaml", root / "config" / "config.yaml", root / "config" / "types.yaml"])
-    # relative zum CWD
-    cwd = Path.cwd()
-    candidates.extend([cwd / "config.yaml", cwd / "config" / "config.yaml", cwd / "config" / "types.yaml"])
-
-    for p in candidates:
-        if p.exists() and p.is_file():
-            if yaml is None:
-                break
-            try:
-                data = yaml.safe_load(p.read_text(encoding="utf-8")) or {}
-                if isinstance(data, dict) and "types" in data:
-                    return data
-            except Exception:
-                # still und hart, kein Crash bei kaputter Datei
-                pass
-    return {"version": "1.0", "types": {}}
 
 
-def _coerce_float(val: Any, default: float) -> float:
+def _coalesce(*vals):
-    try:
+    for v in vals:
-        if val is None:
+        if v is not None:
-            return default
-        if isinstance(val, (int, float)):
-            return float(val)
-        if isinstance(val, str):
-            return float(val.strip())
-    except Exception:
-        pass
-    return default
-
-
-def _ensure_str_list(v: Any) -> List[str]:
-    if v is None:
-        return []
-    if isinstance(v, (list, tuple)):
-        return [str(x) for x in v if x is not None]
-    return [str(v)]
-
-
-def _resolve_type(note_d: Dict[str, Any]) -> str:
-    fm = note_d.get("frontmatter") or {}
-    t = _safe_get(fm, "type") or note_d.get("type")
-    if not t and isinstance(note_d.get("meta"), dict):
-        t = note_d["meta"].get("type")
-    return str(t or "concept")
-
-
-def _resolve_title(note_d: Dict[str, Any]) -> str:
-    fm = note_d.get("frontmatter") or {}
-    t = _safe_get(fm, "title") or note_d.get("title")
-    return str(t or "")
-
-
-def _resolve_note_id(note_d: Dict[str, Any]) -> Optional[str]:
-    for k in ("note_id", "id"):
-        v = note_d.get(k)
-        if isinstance(v, str) and v:
             return v
     return None
 
 
-def _resolve_body(note_d: Dict[str, Any]) -> str:
+def _env_float(name: str, default: float) -> float:
-    for k in ("body", "text", "content"):
+    try:
-        v = note_d.get(k)
+        return float(os.environ.get(name, default))
-        if isinstance(v, str) and v.strip():
+    except Exception:
-            return v
+        return default
-    return ""
 
 
-def _resolve_defaults_for_type(types_cfg: Dict[str, Any], typ: str) -> Dict[str, Any]:
+def _ensure_list(x) -> list:
-    if not isinstance(types_cfg, dict):
+    if x is None:
-        return {}
+        return []
-    t = (types_cfg.get("types") or {}).get(typ) or {}
+    if isinstance(x, list):
-    return t if isinstance(t, dict) else {}
+        return [str(i) for i in x]
+    if isinstance(x, (set, tuple)):
+        return [str(i) for i in list(x)]
+    return [str(x)]
 
 
-def _compute_retriever_weight(note_d: Dict[str, Any], types_cfg: Dict[str, Any], typ: str) -> float:
-    fm = note_d.get("frontmatter") or {}
-    # 1) Frontmatter
-    if "retriever_weight" in fm:
-        return _coerce_float(fm.get("retriever_weight"), 1.0)
-    # 2) Typ-Defaults
-    tdef = _resolve_defaults_for_type(types_cfg, typ)
-    if "retriever_weight" in tdef:
-        return _coerce_float(tdef.get("retriever_weight"), 1.0)
-    # 3) ENV
-    envv = os.getenv("MINDNET_DEFAULT_RETRIEVER_WEIGHT")
-    if envv:
-        return _coerce_float(envv, 1.0)
-    # 4) Fallback
-    return 1.0
-
-
-def _compute_chunk_profile(note_d: Dict[str, Any], types_cfg: Dict[str, Any], typ: str) -> str:
-    fm = note_d.get("frontmatter") or {}
-    if "chunk_profile" in fm:
-        return str(fm.get("chunk_profile"))
-    tdef = _resolve_defaults_for_type(types_cfg, typ)
-    if "chunk_profile" in tdef:
-        return str(tdef.get("chunk_profile"))
-    envv = os.getenv("MINDNET_DEFAULT_CHUNK_PROFILE")
-    if envv:
-        return str(envv)
-    return "medium"
-
-
-def _compute_edge_defaults(note_d: Dict[str, Any], types_cfg: Dict[str, Any], typ: str) -> List[str]:
-    fm = note_d.get("frontmatter") or {}
-    if "edge_defaults" in fm:
-        return _ensure_str_list(fm.get("edge_defaults"))
-    tdef = _resolve_defaults_for_type(types_cfg, typ)
-    if "edge_defaults" in tdef:
-        return _ensure_str_list(tdef.get("edge_defaults"))
-    return []
-
-
-# ------------------------------
-# Öffentliche API
-# ------------------------------
-
 def make_note_payload(note: Any, *args, **kwargs) -> Dict[str, Any]:
-    """Erzeugt das Payload-Dict für eine Note.
-
-    Akzeptierte zusätzliche kwargs:
-      - types_config: bereits geladene Config (dict mit "types")
-      - search_root / vault_root: Ordner, in dem config/* gesucht wird
     """
-    note_d = _as_dict(note)
+    Build JSON-serialisable payload for a Note.
+    Accepts legacy extra args/kwargs (e.g. types_config, vault_root) without error.
+    """
+    n = _as_dict(note)
+    types_cfg = kwargs.get("types_config") or (args[0] if args else None)
+    types_cfg = _load_types_config(types_cfg)
 
-    # Konfig finden
+    fm = _get_front(n)
-    types_config = kwargs.get("types_config")
+    note_type = str(fm.get("type") or n.get("type") or "note")
-    search_root = kwargs.get("search_root") or kwargs.get("vault_root")
+    cfg_for_type = types_cfg.get(note_type, {}) if isinstance(types_cfg, dict) else {}
-    types_cfg = _load_types_config(search_root, types_config)
 
-    # Felder auflösen
+    default_rw = _env_float("MINDNET_DEFAULT_RETRIEVER_WEIGHT", 1.0)
-    typ = _resolve_type(note_d)
-    title = _resolve_title(note_d)
-    note_id = _resolve_note_id(note_d)
-    body = _resolve_body(note_d)
 
-    retriever_weight = _compute_retriever_weight(note_d, types_cfg, typ)
+    retriever_weight = _coalesce(
-    chunk_profile = _compute_chunk_profile(note_d, types_cfg, typ)
+        fm.get("retriever_weight"),
-    edge_defaults = _compute_edge_defaults(note_d, types_cfg, typ)
+        cfg_for_type.get("retriever_weight"),
+        default_rw,
+    )
+    try:
+        retriever_weight = float(retriever_weight)
+    except Exception:
+        retriever_weight = default_rw
+
+    chunk_profile = _coalesce(
+        fm.get("chunk_profile"),
+        cfg_for_type.get("chunk_profile"),
+        os.environ.get("MINDNET_DEFAULT_CHUNK_PROFILE", "medium"),
+    )
+    if not isinstance(chunk_profile, str):
+        chunk_profile = "medium"
+
+    edge_defaults = _ensure_list(
+        _coalesce(fm.get("edge_defaults"), cfg_for_type.get("edge_defaults"), [])
+    )
+
+    note_id = n.get("note_id") or n.get("id") or fm.get("id")
+    title = n.get("title") or fm.get("title") or ""
+    path = n.get("path")
+    if isinstance(path, pathlib.Path):
+        path = str(path)
 
-    # Payload zusammenstellen (nur JSON-fähige Typen)
     payload: Dict[str, Any] = {
-        "type": typ,
+        "note_id": note_id,
         "title": title,
-        "retriever_weight": float(retriever_weight),
+        "type": note_type,
-        "chunk_profile": str(chunk_profile),
+        "path": path,
+        "retriever_weight": retriever_weight,
+        "chunk_profile": chunk_profile,
         "edge_defaults": edge_defaults,
     }
-    if note_id:
-        payload["note_id"] = note_id
-    if body:
-        payload["body_preview"] = body[:5000]  # nur Vorschau, Retriever nutzt Chunks
 
-    # Frontmatter relevante Keys durchreichen (ohne Binärdaten/Objekte)
+    tags = fm.get("tags") or fm.get("keywords") or n.get("tags")
-    fm = note_d.get("frontmatter") or {}
+    if tags:
-    if isinstance(fm, dict):
+        payload["tags"] = _ensure_list(tags)
-        for k, v in fm.items():
-            if k in ("type", "retriever_weight", "chunk_profile", "edge_defaults"):
-                continue
-            # nur einfache/nützliche Typen durchlassen
-            if isinstance(v, (str, int, float, bool, list, dict)) or v is None:
-                payload[f"fm_{k}"] = v
 
+    for k in ("created", "modified", "date"):
+        v = fm.get(k) or n.get(k)
+        if v:
+            payload[k] = str(v)
+
+    # Validierungs-RTT (stellt JSON-Serialisierbarkeit sicher)
+    json.loads(json.dumps(payload, ensure_ascii=False))
     return payload