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"""Generic heading/layout multimodal splitter for PDF-derived documents."""
from __future__ import annotations
import re
from dataclasses import dataclass, field
from rag_cut.models import Block, BlockType, Chunk, SplitConfig
from rag_cut.parsers.pdf.noise_filter import is_toc_noise_text, is_toc_title_text
from rag_cut.renderer import collect_chunk_layout_meta, render_blocks
from rag_cut.splitters.heading_splitter import (
PURE_NUMBERED_HEADING_RE,
TIME_LIKE_RE,
looks_like_false_heading_text,
looks_like_numbered_instruction,
normalize_heading_block,
)
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CHUNK_STRATEGY = "heading_layout_multimodal"
PAGE_NUMBER_RE = re.compile(r"^\s*(?:[-\u2013\u2014]?\s*)?\d{1,4}(?:\s*/\s*\d{1,4})?\s*$")
NUMBERED_HEADING_RE = re.compile(
r"^\s*(?P<num>\d+(?:\.\d+)*)(?:[..、::]\s*|\s+)"
r"(?P<title>[A-Za-z\u4e00-\u9fff][^\n]{1,120})\s*$"
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)
LETTER_HEADING_RE = re.compile(
r"^\s*(?P<letter>[A-Z])[\.)]\s+(?P<title>[A-Za-z0-9\u4e00-\u9fff][^\n]{1,100})\s*$"
)
# Procedural "Step N …" lines are body content, not section boundaries.
# Promoting them to headings caused heading-only groups to be dropped on flush
# (e.g. Steps 1–3 under 5.7.1 vanished while only Step 4 with following body survived).
STEP_INSTRUCTION_RE = re.compile(
r"^\s*(?:Step\s*\d+|STEP\s*\d+|步骤\s*\d+)(?:\s*[:.:)\-]?\s+\S|\s*$)",
re.I,
)
CHAPTER_HEADING_RE = re.compile(r"^\s*Chapter\s+\d+(?:\s*[:.-]?\s+[^\n]{1,100})?\s*$", re.I)
CN_HEADING_RE = re.compile(
r"^\s*(?:[\u4e00-\u9fff]{1,3}[、..]|[((][\u4e00-\u9fff]{1,3}[))])\s*[^\n]{1,100}$"
)
@dataclass
class _Group:
heading_path: list[str] = field(default_factory=list)
blocks: list[Block] = field(default_factory=list)
@dataclass
class _HeadingSignal:
text: str
level: int
def _text(block: Block) -> str:
return (block.text or block.markdown or "").strip()
def _page(block: Block) -> int | None:
page = block.meta.get("page")
try:
return int(page) if page is not None else None
except (TypeError, ValueError):
return None
def _bbox(block: Block) -> list[float]:
bbox = block.meta.get("bbox")
return list(bbox) if isinstance(bbox, (list, tuple)) else []
def _copy_with_meta(block: Block, **meta_updates) -> Block:
meta = dict(block.meta)
meta.update({k: v for k, v in meta_updates.items() if v not in (None, [], {})})
return block.model_copy(update={"meta": meta})
def _is_empty_text_block(block: Block) -> bool:
return block.type not in {BlockType.IMAGE, BlockType.TABLE} and not _text(block)
def _is_toc_text(text: str) -> bool:
return is_toc_noise_text(text) or is_toc_title_text(text)
def _is_decorative_image(block: Block) -> bool:
bbox = _bbox(block)
if len(bbox) != 4:
return False
width = bbox[2] - bbox[0]
height = bbox[3] - bbox[1]
if width <= 0 or height <= 0:
return True
if width < 28 or height < 16:
return True
page_height = block.meta.get("page_height") or 0
if page_height and bbox[3] <= page_height * 0.10 and width * height < 12000:
return True
return False
def _is_margin_noise(block: Block) -> bool:
if block.type == BlockType.HEADING:
return False
text = _text(block)
bbox = _bbox(block)
page_height = block.meta.get("page_height") or 0
if not bbox or not page_height:
return False
y0, y1 = bbox[1], bbox[3]
in_top = y1 <= page_height * 0.08
in_bottom = y0 >= page_height * 0.92
if PAGE_NUMBER_RE.match(text) and (in_top or in_bottom):
return True
return len(text) <= 80 and (in_top or in_bottom) and block.meta.get("running_header")
def _running_header_texts(blocks: list[Block]) -> set[str]:
page_count = len({_page(b) for b in blocks if _page(b) is not None})
if page_count < 3:
return set()
locations: dict[str, set[int]] = {}
for block in blocks:
if block.type in {BlockType.IMAGE, BlockType.TABLE, BlockType.HEADING}:
continue
text = " ".join(_text(block).split())
page = _page(block)
bbox = _bbox(block)
page_height = block.meta.get("page_height") or 0
if not text or page is None or not bbox or not page_height or len(text) > 100:
continue
if bbox[3] <= page_height * 0.10 or bbox[1] >= page_height * 0.90:
locations.setdefault(text, set()).add(page)
threshold = max(3, int(page_count * 0.5))
return {text for text, pages in locations.items() if len(pages) >= threshold}
def _is_noise(block: Block, running_headers: set[str]) -> bool:
if _is_empty_text_block(block):
return True
text = " ".join(_text(block).split())
if block.type == BlockType.IMAGE:
return _is_decorative_image(block)
if PAGE_NUMBER_RE.match(text) or TIME_LIKE_RE.match(text):
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return True
if _is_toc_text(text):
return True
if text in running_headers:
return True
return _is_margin_noise(block)
def _heading_signal(block: Block, current_top_level: bool = False) -> _HeadingSignal | None:
text = _text(block)
if not text or len(text) > 180 or _is_toc_text(text):
return None
# Keep procedural steps inside the parent section; do not open a new group.
if (
STEP_INSTRUCTION_RE.match(text)
or looks_like_numbered_instruction(text)
or looks_like_false_heading_text(text)
):
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return None
pure_numbered = PURE_NUMBERED_HEADING_RE.match(text)
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if block.type == BlockType.HEADING:
level = block.level or 1
numbered = NUMBERED_HEADING_RE.match(text)
if pure_numbered:
level = pure_numbered.group(1).count(".") + 1
elif numbered:
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level = numbered.group("num").count(".") + 1
elif LETTER_HEADING_RE.match(text):
level = 2 if current_top_level else max(2, level)
return _HeadingSignal(text=" ".join(text.split()), level=max(1, min(level, 6)))
numbered = NUMBERED_HEADING_RE.match(text)
if pure_numbered:
return _HeadingSignal(text=" ".join(text.split()), level=pure_numbered.group(1).count(".") + 1)
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if numbered:
return _HeadingSignal(text=" ".join(text.split()), level=numbered.group("num").count(".") + 1)
if LETTER_HEADING_RE.match(text):
return _HeadingSignal(text=" ".join(text.split()), level=2)
if CHAPTER_HEADING_RE.match(text):
return _HeadingSignal(text=" ".join(text.split()), level=1)
if CN_HEADING_RE.match(text):
return _HeadingSignal(text=" ".join(text.split()), level=2 if current_top_level else 1)
font_size = block.meta.get("font_size")
body_size = block.meta.get("body_font_size")
if font_size and body_size and font_size >= body_size + 1.5 and len(text) <= 100:
level = block.level or 2
# Short CJK section banners (形態指標 / 策略指標) are chapter peers, not
# subsections of the preceding numbered person/indicator entry.
if (
font_size >= body_size + 3
and re.fullmatch(r"[\u4e00-\u9fffA-Za-z0-9//\s]{2,24}", text)
and not NUMBERED_HEADING_RE.match(text)
):
level = 1
return _HeadingSignal(text=" ".join(text.split()), level=max(1, min(level, 6)))
return None
def _heading_block(block: Block, signal: _HeadingSignal) -> Block:
meta = dict(block.meta)
meta["section_boundary"] = True
meta["heading_level"] = signal.level
return Block(type=BlockType.HEADING, text=signal.text, level=signal.level, meta=meta)
def _enrich_block(block: Block, heading_path: list[str], group_blocks: list[Block]) -> Block:
meta = dict(block.meta)
meta["heading_path"] = list(heading_path)
if heading_path:
meta["nearest_heading"] = heading_path[-1]
meta["parent_heading"] = heading_path[-1]
meta["chapter"] = heading_path[0]
meta.setdefault("section_boundary", block.type == BlockType.HEADING)
if block.type == BlockType.HEADING:
meta["heading_level"] = block.level or len(heading_path) or 1
if block.type in {BlockType.IMAGE, BlockType.TABLE}:
meta.setdefault("bound_heading", heading_path[-1] if heading_path else "")
_bind_adjacent_text(meta, block, group_blocks)
return block.model_copy(update={"meta": meta})
def _bind_adjacent_text(meta: dict, block: Block, group_blocks: list[Block]) -> None:
page = _page(block)
for prev in reversed(group_blocks):
if prev.type == BlockType.PARAGRAPH and _page(prev) == page and _text(prev):
meta.setdefault("preceding_text", _text(prev)[:400])
break
if prev.type == BlockType.HEADING:
break
if block.type == BlockType.TABLE and not meta.get("table_title"):
for prev in reversed(group_blocks):
if prev.type == BlockType.HEADING:
meta["table_title"] = _text(prev)
break
if prev.type == BlockType.PARAGRAPH and _page(prev) == page and 0 < len(_text(prev)) <= 120:
meta["table_title"] = _text(prev)
break
def _fill_following_text(group: _Group) -> _Group:
blocks = list(group.blocks)
for i, block in enumerate(blocks):
if block.type not in {BlockType.IMAGE, BlockType.TABLE}:
continue
meta = dict(block.meta)
page = _page(block)
for nxt in blocks[i + 1 :]:
if nxt.type == BlockType.HEADING:
break
if nxt.type == BlockType.PARAGRAPH and _page(nxt) == page and _text(nxt):
meta.setdefault("following_text", _text(nxt)[:400])
break
blocks[i] = block.model_copy(update={"meta": meta})
return _Group(heading_path=group.heading_path, blocks=blocks)
def _group_has_body(group: _Group) -> bool:
for block in group.blocks:
if block.type in {BlockType.IMAGE, BlockType.TABLE}:
return True
if block.type != BlockType.HEADING and _text(block):
return True
# Safety net: long instructional "headings" are themselves searchable content.
return any(block.type == BlockType.HEADING and len(_text(block)) >= 48 for block in group.blocks)
def _attach_heading_only_to_previous(groups: list[_Group], orphan: _Group) -> None:
"""Keep catalog-style heading-only groups instead of deleting them.
Example: after \"共包含以下11個形態指標說明:\", lines like \"1.頭肩頂形態\"
briefly open a group with no body before the next number arrives. Flush used
to drop them; fold those leaf titles into the previous section as paragraphs.
"""
if not groups or not orphan.blocks:
return
prev = groups[-1]
prev_keys = {(b.type, _text(b), tuple(b.meta.get("bbox") or [])) for b in prev.blocks}
path_set = set(prev.heading_path)
for block in orphan.blocks:
text = _text(block)
if not text:
continue
# Skip copies of ancestor headings already injected into the orphan group.
if text in path_set:
continue
key = (block.type, text, tuple(block.meta.get("bbox") or []))
if key in prev_keys:
continue
if block.type == BlockType.HEADING:
meta = dict(block.meta)
meta["catalog_item"] = True
meta["section_boundary"] = False
demoted = Block(type=BlockType.PARAGRAPH, text=text, meta=meta)
prev.blocks.append(_enrich_block(demoted, prev.heading_path, prev.blocks))
else:
prev.blocks.append(_enrich_block(block, prev.heading_path, prev.blocks))
prev_keys.add(key)
def _group_is_retrievable(group: _Group) -> bool:
"""Return whether a rendered group contains searchable semantic context."""
if group.heading_path:
return True
for block in group.blocks:
if block.type == BlockType.TABLE:
return True
if block.type == BlockType.IMAGE:
if block.ocr_text.strip():
return True
continue
if block.type != BlockType.HEADING and _text(block):
return True
return False
def _render_group(group: _Group, index: int, config: SplitConfig, meta: dict | None = None) -> Chunk:
group = _fill_following_text(group)
layout_meta = collect_chunk_layout_meta(group.blocks)
heading_path = group.heading_path or layout_meta.get("heading_path") or []
heading = heading_path[-1] if heading_path else layout_meta.get("heading") or "Untitled section"
extra_meta = {
**layout_meta,
"chunk_strategy": CHUNK_STRATEGY,
"heading": heading,
"heading_path": heading_path,
"retrieval": _group_is_retrievable(group),
**(meta or {}),
}
if "order_range" not in extra_meta:
order_indices = [b.meta.get("order_index") for b in group.blocks if b.meta.get("order_index") is not None]
if order_indices:
extra_meta["order_range"] = [min(order_indices), max(order_indices)]
chunk = render_blocks(group.blocks, index=index, meta=extra_meta)
chunk_meta = dict(chunk.meta)
chunk_meta.update(extra_meta)
return chunk.model_copy(update={"meta": chunk_meta})
def _split_oversized_group(group: _Group, start_index: int, config: SplitConfig) -> list[Chunk]:
"""Split an oversized section by length only (no parent+child pair)."""
rendered_len = sum(len(b.render()) + 2 for b in group.blocks)
if rendered_len <= config.max_chunk_size or len(group.blocks) <= 3:
return [_render_group(group, start_index, config)]
heading_blocks = [b for b in group.blocks if b.type == BlockType.HEADING]
prefix = heading_blocks[:1]
chunks: list[Chunk] = []
current: list[Block] = list(prefix)
current_len = sum(len(b.render()) + 2 for b in current)
part_index = 0
def flush() -> None:
nonlocal current, current_len, part_index
body = [b for b in current if b.type != BlockType.HEADING]
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if not body:
return
part_group = _Group(group.heading_path, list(current))
chunks.append(
_render_group(
part_group,
start_index + len(chunks),
config,
meta={
"chunk_strategy": f"{CHUNK_STRATEGY}_part",
"part_index": part_index,
"retrieval": True,
},
)
)
part_index += 1
current = list(prefix)
current_len = sum(len(b.render()) + 2 for b in current)
for block in group.blocks[len(prefix) :]:
block_len = len(block.render()) + 2
if current_len + block_len > config.max_chunk_size and len(current) > len(prefix):
context_len = sum(
len(item.render()) + 2
for item in current
if item.type != BlockType.HEADING
)
keep_atomic_context = (
block.type in {BlockType.IMAGE, BlockType.TABLE}
and context_len <= min(400, max(80, config.max_chunk_size // 2))
)
if not keep_atomic_context:
flush()
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current.append(block)
current_len += block_len
flush()
return chunks or [_render_group(group, start_index, config)]
def _build_groups(blocks: list[Block]) -> list[_Group]:
running_headers = _running_header_texts(blocks)
heading_stack: list[tuple[int, str, Block]] = []
groups: list[_Group] = []
current = _Group()
def flush() -> None:
nonlocal current
if _group_has_body(current):
groups.append(current)
elif current.blocks:
# Explicit parser headings with no body are empty document sections,
# not catalog items to fold into the preceding section.
if not any(block.meta.get("source_heading") for block in current.blocks):
_attach_heading_only_to_previous(groups, current)
current = _Group()
for source in blocks:
if _is_noise(source, running_headers):
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continue
raw = normalize_heading_block(source)
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signal = _heading_signal(raw, current_top_level=bool(heading_stack))
if signal:
flush()
while heading_stack and heading_stack[-1][0] >= signal.level:
heading_stack.pop()
heading = _heading_block(raw, signal)
heading_stack.append((signal.level, signal.text, heading))
path = [item[1] for item in heading_stack]
current = _Group(heading_path=path)
current.blocks.append(_enrich_block(heading, path, current.blocks))
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continue
path = [item[1] for item in heading_stack]
if not current.heading_path:
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current.heading_path = path
current.blocks.append(_enrich_block(raw, current.heading_path, current.blocks))
flush()
return groups
def split_pdf_semantic(blocks: list[Block], config: SplitConfig) -> list[Chunk]:
"""Split PDF/Word-derived blocks into heading/layout-preserving multimodal chunks."""
groups = _build_groups(blocks)
chunks: list[Chunk] = []
for group in groups:
for chunk in _split_oversized_group(group, len(chunks), config):
chunks.append(chunk.model_copy(update={"index": len(chunks)}))
return chunks