mindnet/app/core/chunking/chunking_strategies.py

135 lines
6.4 KiB
Python

"""
FILE: app/core/chunking/chunking_strategies.py
DESCRIPTION: Strategie für atomares Sektions-Chunking v3.7.0.
Garantiert Sektions-Integrität durch ein flexibles Toleranz-Limit.
Kein Splitting von Sektionen, solange sie 'ungefähr' passen.
"""
import math
from typing import List, Dict, Any, Optional
from .chunking_models import RawBlock, Chunk
from .chunking_parser import split_sentences
# Toleranz-Faktor: Erlaubt Chunks, bis zu 15% über 'max' zu wachsen,
# um eine Sektion vollständig zu erhalten.
FLEX_FACTOR = 1.15
def _safe_estimate(text: str) -> int:
"""Sicherere Token-Schätzung für MD/Deutsch (Faktor 3.0 statt 4.0)."""
return max(1, math.ceil(len(text.strip()) / 3.0))
def _create_context_win(doc_title: str, sec_title: Optional[str], text: str) -> str:
parts = []
if doc_title: parts.append(doc_title)
if sec_title and sec_title != doc_title: parts.append(sec_title)
prefix = " > ".join(parts); return f"{prefix}\n{text}".strip() if prefix else text
def strategy_by_heading(blocks: List[RawBlock], config: Dict[str, Any], note_id: str, doc_title: str = "") -> List[Chunk]:
target = config.get("target", 400)
max_tokens = config.get("max", 600)
split_level = config.get("split_level", 2)
overlap_cfg = config.get("overlap", (50, 80))
overlap = sum(overlap_cfg) // 2 if isinstance(overlap_cfg, (list, tuple)) else overlap_cfg
# Das flexible Maximum, das Sektionen unzertrennt lässt
soft_max = int(max_tokens * FLEX_FACTOR)
chunks: List[Chunk] = []
def _emit_chunk(block_list: List[RawBlock]):
"""Schreibt eine Liste von Blöcken als einen einzigen Chunk ohne internes Splitting."""
if not block_list: return
txt = "\n\n".join([b.text for b in block_list])
idx = len(chunks)
title = block_list[0].section_title
path = block_list[0].section_path
win = _create_context_win(doc_title, title, txt)
chunks.append(Chunk(
id=f"{note_id}#c{idx:02d}", note_id=note_id, index=idx,
text=txt, window=win, token_count=_safe_estimate(txt),
section_title=title, section_path=path,
neighbors_prev=None, neighbors_next=None
))
def _split_giant_section(sec_blocks: List[RawBlock]):
"""Notfall-Split: Nur wenn eine EINZELNE Sektion bereits > soft_max ist."""
full_text = "\n\n".join([b.text for b in sec_blocks])
main_title = sec_blocks[0].section_title; main_path = sec_blocks[0].section_path
header_text = sec_blocks[0].text if sec_blocks[0].kind == "heading" else ""
sents = split_sentences(full_text)
cur_sents = []; sub_len = 0
for s in sents:
slen = _safe_estimate(s)
if sub_len + slen > target and cur_sents:
_emit_chunk([RawBlock("paragraph", " ".join(cur_sents), None, main_path, main_title)])
ov_s = [header_text] if header_text else []
ov_l = _safe_estimate(header_text) if header_text else 0
for os in reversed(cur_sents):
if os == header_text: continue
t_len = _safe_estimate(os)
if ov_l + t_len < overlap:
ov_s.insert(len(ov_s)-1 if header_text else 0, os); ov_l += t_len
else: break
cur_sents = list(ov_s); cur_sents.append(s); sub_len = ov_l + slen
else: cur_sents.append(s); sub_len += slen
if cur_sents: _emit_chunk([RawBlock("paragraph", " ".join(cur_sents), None, main_path, main_title)])
# 1. Gruppierung in atomare Sektions-Einheiten
sections: List[List[RawBlock]] = []
curr_sec: List[RawBlock] = []
for b in blocks:
if b.kind == "heading" and b.level <= split_level:
if curr_sec: sections.append(curr_sec)
curr_sec = [b]
else: curr_sec.append(b)
if curr_sec: sections.append(curr_sec)
# 2. Das flexible Pack-Verfahren
current_chunk_buf: List[RawBlock] = []
current_tokens = 0
for sec in sections:
sec_text = "\n\n".join([b.text for b in sec])
sec_tokens = _safe_estimate(sec_text)
if current_chunk_buf:
# PRÜFUNG: Würde die neue Sektion das FLEXIBLE Limit sprengen?
if (current_tokens + sec_tokens > soft_max):
_emit_chunk(current_chunk_buf)
current_chunk_buf = []
current_tokens = 0
# Haben wir das Ziel-Maß erreicht und es kommt eine neue Sektion?
elif (current_tokens >= target):
_emit_chunk(current_chunk_buf)
current_chunk_buf = []
current_tokens = 0
# Wenn eine EINZELNE Sektion alleine schon das weiche Limit sprengt
if not current_chunk_buf and sec_tokens > soft_max:
_split_giant_section(sec)
else:
current_chunk_buf.extend(sec)
current_tokens = _safe_estimate("\n\n".join([b.text for b in current_chunk_buf]))
if current_chunk_buf:
_emit_chunk(current_chunk_buf)
return chunks
def strategy_sliding_window(blocks: List[RawBlock], config: Dict[str, Any], note_id: str, context_prefix: str = "") -> List[Chunk]:
target = config.get("target", 400); max_tokens = config.get("max", 600)
chunks: List[Chunk] = []; buf: List[RawBlock] = []
for b in blocks:
b_tokens = _safe_estimate(b.text)
current_tokens = sum(_safe_estimate(x.text) for x in buf) if buf else 0
if current_tokens + b_tokens > max_tokens and buf:
txt = "\n\n".join([x.text for x in buf]); idx = len(chunks)
win = f"{context_prefix}\n{txt}".strip() if context_prefix else txt
chunks.append(Chunk(id=f"{note_id}#c{idx:02d}", note_id=note_id, index=idx, text=txt, window=win, token_count=current_tokens, section_title=buf[0].section_title, section_path=buf[0].section_path, neighbors_prev=None, neighbors_next=None))
buf = []
buf.append(b)
if buf:
txt = "\n\n".join([x.text for x in buf]); idx = len(chunks)
win = f"{context_prefix}\n{txt}".strip() if context_prefix else txt
chunks.append(Chunk(id=f"{note_id}#c{idx:02d}", note_id=note_id, index=idx, text=txt, window=win, token_count=_safe_estimate(txt), section_title=buf[0].section_title, section_path=buf[0].section_path, neighbors_prev=None, neighbors_next=None))
return chunks