app/core/chunk_payload.py aktualisiert
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
chunk_payload.py v2.2.1
Modul: app/core/chunk_payload.py
Version: 2.3.0
Datum: 2025-11-08
Zweck:
- Erzeugt Chunk-Payloads (inkl. 'text' und 'window'), vollständig
rückwärtskompatibel zu v2.2.0 (Signaturen beibehalten).
- Neu: optionale Typ-Profile via Type-Registry (chunk_profile), ohne
bestehendes Verhalten zu brechen. Fällt automatisch auf die bisherigen
Einstellungen zurück, wenn keine Registry vorhanden/konfiguriert ist.
Änderungen ggü. 2.2.0
----------------------
- Optionaler Parameter `chunk_profile: str | None` (abwärtskompatibel).
- Bei fehlenden *echten* Fenstern (kein Overlap geliefert) wird das synthetische
Overlap anhand des Chunk-Profils (short|medium|long) gewählt. Ohne Profil
bleibt das bisherige Verhalten bestehen (Übernahme aus get_sizes(note_type)).
Wichtig:
- Signatur von make_chunk_payloads bleibt kompatibel:
make_chunk_payloads(chunks, note_id, note_title, note_type, note_path, ...)
- 'window' != 'text', wenn Overlap > 0; ansonsten identisch.
Hinweis
------
IDs, Felder und Vektoren bleiben unverändert.
"""
from __future__ import annotations
from typing import Any, Dict, Iterable, List, Optional, Tuple
# Annahme: Diese Utilities existieren bei dir bereits (aus funktionierendem Stand):
# - Chunk Typ (dataclass/NamedTuple) mit Feldern: id (oder idx), text, start, end
# - windowing-Funktion (oder wir erzeugen ein simples Fenster über Nachbar-Chunks)
from typing import Any, Dict, Iterable, List, Optional, Tuple, Union
try:
from app.core.chunker import Chunk # type: ignore
# Typgerechtes Overlap aus deiner Konfiguration holen
from app.core.chunk_config import get_sizes as _get_sizes
except Exception:
# Minimaler Fallback, falls die Import-Umgebung abweicht; in produktiven
# Deployments wird der echte Chunk-Typ vorhanden sein.
from typing import NamedTuple
class Chunk(NamedTuple):
idx: int
text: str
start: int
end: int
def _get_sizes(_note_type: str):
# konservativer Default, falls Import fehlschlägt
return {"overlap": (40, 60), "target": (250, 350), "max": 500}
# Optional: Registry einbinden
# NEU: optionaler Import Overlap-Empfehlungen aus der Type-Registry
try:
from app.core.type_registry import resolve_chunk_profile
from app.core.type_registry import profile_overlap as _profile_overlap
except Exception:
def resolve_chunk_profile(note_type: str, default_profile: str = "default") -> str:
return default_profile
def _profile_overlap(_profile: Optional[str]) -> tuple[int,int]:
return (40, 60)
DEFAULT_OVERLAP = 0 # falls euer chunker keinen Overlap liefert
DEFAULT_PROFILE_TO_OVERLAP = {
"short": 40,
"medium": 80,
"long": 120,
"default": 0,
}
def _estimate_overlap(profile: str) -> int:
return int(DEFAULT_PROFILE_TO_OVERLAP.get(profile, DEFAULT_OVERLAP))
# ------------------------------- Utils ------------------------------- #
def _make_window_text(chunks: List[Chunk], i: int, overlap_chars: int) -> str:
def _get_attr_or_key(obj: Any, key: str, default=None):
if obj is None:
return default
if isinstance(obj, dict):
return obj.get(key, default)
return getattr(obj, key, default)
def _as_window_text(chunk: Any) -> str:
"""Fenstertext robust lesen (bevorzugt echte Fenster, sonst Kern)."""
for k in ("window", "text", "content", "raw"):
v = _get_attr_or_key(chunk, k, None)
if isinstance(v, str) and v:
return v
return ""
def _to_int(x: Any, default: int = 0) -> int:
try:
return int(x)
except Exception:
return default
def _normalize_rel_path(p: str) -> str:
p = (p or "").replace("\\", "/")
while p.startswith("/"):
p = p[1:]
return p
# ---------------------- Overlap & Offsets ---------------------------- #
def _dedupe_windows_to_segments(windows: List[str]) -> Tuple[List[str], List[int], str]:
"""
Erzeugt ein einfaches Fenster: left-overlap-Anteil aus dem vorherigen Chunk
+ eigener Text + right-overlap-Anteil aus dem nächsten Chunk.
Entfernt linkes Overlap aus echten Fenster-Strings.
Rückgabe: (segments, overlaps_left, reconstructed_text)
"""
center = chunks[i].text
if overlap_chars <= 0:
return center
segments: List[str] = []
overlaps_left: List[int] = []
reconstructed = ""
for w in windows:
w = w or ""
max_k = min(len(w), len(reconstructed))
k = 0
for cand in range(max_k, -1, -1):
if reconstructed.endswith(w[:cand]):
k = cand
break
seg = w[k:]
segments.append(seg)
overlaps_left.append(k)
reconstructed += seg
return segments, overlaps_left, reconstructed
left = ""
right = ""
if i > 0:
ltxt = chunks[i - 1].text
left = ltxt[-overlap_chars:] if len(ltxt) > overlap_chars else ltxt
if i + 1 < len(chunks):
rtxt = chunks[i + 1].text
right = rtxt[:overlap_chars] if len(rtxt) > overlap_chars else rtxt
def _overlap_len_suffix_prefix(a: str, b: str, max_probe: int = 4096) -> int:
"""Länge längsten Suffix(a), der Prefix(b) ist."""
if not a or not b:
return 0
a1 = a[-max_probe:]
b1 = b[:max_probe]
n = min(len(a1), len(b1))
for k in range(n, 0, -1):
if a1[-k:] == b1[:k]:
return k
return 0
# Verhindere doppelte Leerzeichen
pieces = [p for p in [left, center, right] if p]
return (" ".join(pieces)).strip()
# ----------------------------- Public API ---------------------------- #
def make_chunk_payloads(
chunks: Iterable[Chunk],
note_id: str,
note_title: str,
note_type: Optional[str],
note_path: str,
*,
frontmatter: Dict[str, Any],
rel_path: str,
chunks: Iterable[Union[Dict[str, Any], Any]],
note_text: Optional[str] = None,
*, # neue, nur-keyword Parameter bleiben abwärtskompatibel
chunk_profile: Optional[str] = None,
window_overwrite: Optional[int] = None,
extra_payload: Optional[Dict[str, Any]] = None,
) -> List[Dict[str, Any]]:
"""
Rückwärtskompatible Fabrik für Chunk-Payloads.
Parameter:
- chunks: Iterable[Chunk] Ergebnis aus eurem chunker.
- note_id: str ID der Note (z. B. aus Frontmatter 'id').
- note_title: str Titel der Note.
- note_type: Optional[str] Typ aus Frontmatter (concept, task, ...).
- note_path: str relativer Pfad im Vault.
- chunk_profile: Optional[str] Override-Profil (z. B. 'short').
- window_overwrite: Optional[int] erzwinge Overlap in Zeichen.
- extra_payload: Optional[dict] zusätzliche Felder in Payload.
Rückgabe:
- Liste von dict-Payloads; jedes enthält mind.:
{ "note_id", "note_title", "note_type", "path", "chunk_id",
"text", "window", "start", "end" }
Baut Payloads pro Chunk. Falls Fenster ohne Overlap geliefert werden,
erzeugen wir synthetische 'window'-Texte mit typgerechtem Overlap.
"""
clist = list(chunks)
# Profil bestimmen (Registry → default → Override)
effective_profile = (
chunk_profile
or (resolve_chunk_profile(note_type or "concept") if note_type else "default")
or "default"
)
overlap = window_overwrite if isinstance(window_overwrite, int) else _estimate_overlap(effective_profile)
note_id = str(frontmatter.get("id") or "").strip()
note_type = str(frontmatter.get("type", "")).lower()
note_title = frontmatter.get("title", None)
note_tags = frontmatter.get("tags", None)
rel_path = _normalize_rel_path(rel_path)
# 1) Rohdaten sammeln (so wie geliefert)
chunks_list = list(chunks)
raw_windows: List[str] = []
seqs: List[int] = []
ids_in: List[Optional[str]] = []
token_counts: List[Optional[int]] = []
section_titles: List[Optional[str]] = []
section_paths: List[Optional[str]] = []
any_explicit_window = False
for idx, c in enumerate(chunks_list):
# Fensterquelle
w = _get_attr_or_key(c, "window", None)
if isinstance(w, str) and w:
any_explicit_window = True
raw_windows.append(w)
else:
raw_windows.append(_as_window_text(c)) # 'text'|'content'|'raw' als Ersatz
# Ordnung
seqs.append(_to_int(_get_attr_or_key(c, "seq", _get_attr_or_key(c, "chunk_index", idx)), idx))
# IDs, Tokens, Sektionen
cid = _get_attr_or_key(c, "chunk_id", _get_attr_or_key(c, "id", None))
ids_in.append(str(cid) if isinstance(cid, str) and cid else None)
tc = _get_attr_or_key(c, "token_count", None)
token_counts.append(_to_int(tc, 0) if tc is not None else None)
section_titles.append(_get_attr_or_key(c, "section_title", None))
section_paths.append(_get_attr_or_key(c, "section_path", None))
# 2) Segmente & Overlaps bestimmen
if any_explicit_window:
# Es existieren echte Fenster → dedupe, um Kernsegmente zu finden
segments, overlaps_left, recon = _dedupe_windows_to_segments(raw_windows)
windows_final = raw_windows[:] # bereits mit Overlap geliefert
else:
# Keine echten Fenster → Segmente sind identisch zu "Fenstern" (bisher),
# wir erzeugen synthetische Fenster mit Overlap.
segments = [w or "" for w in raw_windows]
overlaps_left = []
windows_final = []
recon = ""
try:
# Bisheriges Verhalten: aus get_sizes(note_type)
overlap_low, overlap_high = tuple(_get_sizes(note_type).get("overlap", (40, 60)))
except Exception:
overlap_low, overlap_high = (40, 60)
# Registry-Profil (falls vorhanden) übersteuert *nur* den Overlap defensiv
if isinstance(chunk_profile, str) and chunk_profile.strip():
try:
o_low, o_high = _profile_overlap(chunk_profile.strip().lower())
# defensiver Clamp: niemals größer als 3x Default
overlap_low = max(0, min(o_low, overlap_low * 3))
overlap_high = max(overlap_low, min(o_high, overlap_high * 3))
except Exception:
pass
overlap_target = int(overlap_low)
for i, seg in enumerate(segments):
if i == 0:
# erstes Fenster: kein linker Kontext
windows_final.append(seg)
overlaps_left.append(0)
recon += seg
else:
# synthetischer linker Kontext = Suffix des bisher rekonstruierten Texts
k = min(overlap_target, len(recon))
left_ctx = recon[-k:] if k > 0 else ""
windows_final.append(left_ctx + seg)
overlaps_left.append(k)
recon += seg # Rekonstruktion bleibt kerntreu
# 3) overlap_right bestimmen
overlaps_right: List[int] = []
for i in range(len(windows_final)):
if i + 1 < len(windows_final):
ov = _overlap_len_suffix_prefix(windows_final[i], windows_final[i + 1], max_probe=4096)
else:
ov = 0
overlaps_right.append(ov)
# 4) start/end-Offsets (exakt via note_text, sonst kumulativ)
starts: List[int] = [0] * len(segments)
ends: List[int] = [0] * len(segments)
pos = 0
if isinstance(note_text, str) and note_text:
search_pos = 0
for i, seg in enumerate(segments):
if not seg:
starts[i] = ends[i] = search_pos
continue
j = note_text.find(seg, search_pos)
if j >= 0:
starts[i] = j
ends[i] = j + len(seg)
search_pos = ends[i]
else:
# Fallback: kumulativ
starts[i] = pos
pos += len(seg)
ends[i] = pos
else:
for i, seg in enumerate(segments):
starts[i] = pos
pos += len(seg)
ends[i] = pos
# 5) Payload-Dicts
payloads: List[Dict[str, Any]] = []
for i, c in enumerate(clist):
# Chunk-ID stabil: note_id#(laufende Nummer 1..n) rückwärtskompatibel
# Falls euer Chunk bereits eine ID hat, könnt ihr sie beibehalten.
cid = f"{note_id}#{i+1}"
window_txt = _make_window_text(clist, i, overlap)
for i, (win, seg) in enumerate(zip(windows_final, segments)):
chunk_id = ids_in[i] or f"{note_id}#{i+1}"
pl: Dict[str, Any] = {
"note_id": note_id,
"note_title": note_title,
"note_type": note_type,
"path": note_path,
"chunk_id": cid,
"text": getattr(c, "text", ""),
"window": window_txt,
"start": getattr(c, "start", 0),
"end": getattr(c, "end", 0),
"chunk_id": chunk_id,
"id": chunk_id, # Alias
"chunk_index": i,
"seq": seqs[i],
"path": rel_path,
"window": win,
"text": seg,
"start": starts[i],
"end": ends[i],
"overlap_left": overlaps_left[i],
"overlap_right": overlaps_right[i],
}
if extra_payload:
pl.update(extra_payload)
# optionale Metadaten
if note_type:
pl["type"] = note_type
if note_title is not None:
pl["title"] = note_title
if note_tags is not None:
pl["tags"] = note_tags
if token_counts[i] is not None:
pl["token_count"] = int(token_counts[i])
if section_titles[i] is not None:
pl["section_title"] = section_titles[i]
if section_paths[i] is not None:
sp = str(section_paths[i]).replace("\\", "/")
pl["section_path"] = sp if sp else "/"
payloads.append(pl)
return payloads
if __name__ == "__main__": # pragma: no cover
fm = {"id": "demo", "title": "Demo", "type": "concept"}
# Beispiel ohne echte Fenster → erzeugt synthetische Overlaps
chunks = [
{"id": "demo#1", "text": "Alpha Beta Gamma"},
{"id": "demo#2", "text": "Gamma Delta"},
{"id": "demo#3", "text": "Delta Epsilon Zeta"},
]
pls = make_chunk_payloads(fm, "path/demo.md", chunks, note_text="Alpha Beta Gamma Delta Epsilon Zeta", chunk_profile="long")
from pprint import pprint
pprint(pls)
recon = "".join(p["text"] for p in pls)
print("RECON:", recon)