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brain-of-reese/app/rag/chunker.py
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ducoterra 99c48cbe06 feat(rag): index markdown KB — chunker, embed client, delta importer, Sources page
Phase 02 (story: import documents):

- fence-aware markdown chunker (heading sections, 200-char overlap,
  heading anchor on every chunk, 1200-char hard cap, fence blocks
  kept atomic and split under the cap)
- LLMClient over aipi (LiteLLM) reusing the openai client's httpx
  transport to send a clean {model, input} payload — the openai SDK
  injects encoding_format, which aipi's openai_like group rejects;
  token-budget batching + halving retry for the endpoint's
  ~1024-token per-request input cap
- two-phase per-file upsert importer: sha256 delta (unchanged skip),
  atomic commit, A9 exclusion walk, per-source prune, per-file error
  tolerance (rollback + log + continue, non-zero CLI exit), adaptive
  re-chunk at half target for URL-dense files the endpoint rejects
- scripts/import_docs CLI (repeatable --source, --prune, --limit,
  defaults ~/Homelab + ~/Deployments)
- GET /api/docs with per-doc chunk counts; Sources page wired to the
  real endpoint (stat cards, full-width a11y table, designed empty
  state, DOM-built rows — no innerHTML)
- tests: 63 passed (chunker/llm/importer units, docs API + importer
  integration), story E2E 3/3 (real endpoints, in-thread import);
  app/ coverage 98%
- real KB imported: 672 docs / 8969 chunks in ~3m, idempotent
  re-run (672 unchanged, 0 batches)
- harness: .agent/validate.sh now gates through uv (pytest +
  coverage >90% + ruff + pyright) instead of system python3
2026-08-21 16:24:45 -04:00

206 lines
7.6 KiB
Python

"""Markdown-aware chunker (PLAN §5 chunking policy).
Pure functions, no I/O — fully unit-testable.
Policy
------
* **Sections** are split on ATX headings of level ≥ 2 (``## ``/``### ``/…).
* A section that fits in ``target_chars`` becomes a single chunk.
* A longer section is sub-split at paragraph boundaries (blank lines outside
code fences); each chunk after the first starts with the trailing
``overlap_chars`` of the previous chunk so context survives the cut.
* Every chunk keeps its nearest preceding heading line (the section anchor),
so a retrieval hit is always readable in context.
* **Code fences** (``` / ~~~) are atomic: a chunk boundary never falls
inside one, and lines inside a fence are never mistaken for headings or
paragraph breaks. One exception: a fence *larger than* :data:`HARD_MAX_CHARS`
is split by line, because aipi's local embedding model rejects requests
over ~1024 input tokens and a single 5000-char code block would blow
past that on its own.
"""
from __future__ import annotations
import re
from collections.abc import Sequence
#: ATX heading of level ≥ 2 — the section splitter (PLAN §5).
_HEADING_RE = re.compile(r"^(#{2,6})\s+\S")
#: First H1 — the document title (used by :func:`extract_title`).
_H1_RE = re.compile(r"^#\s+\S")
#: Opening/closing code fence (three or more backticks or tildes).
_FENCE_RE = re.compile(r"^(`{3,}|~{3,})")
#: Absolute per-chunk size cap (chars). Measured worst case in the real KB:
#: punctuation-heavy machine output (``lspci`` dumps in fences) tokenizes at
#: ~1.4 chars/token, so 1200 chars stays under the endpoint's ~1024-token
#: per-request input cap even as a solo-chunk request.
HARD_MAX_CHARS = 1200
def extract_title(content: str, fallback: str = "") -> str:
"""First markdown H1, else *fallback* (the importer passes the file stem)."""
for line in content.splitlines():
m = _H1_RE.match(line)
if m:
return line.lstrip("#").strip() or fallback
return fallback
def _iter_fence_state(lines: Sequence[str]) -> list[bool]:
"""Per-line flags: ``True`` on a fence delimiter or inside a fence."""
flags: list[bool] = []
marker: str | None = None
for line in lines:
stripped = line.lstrip()
if marker is None:
m = _FENCE_RE.match(stripped)
if m:
marker = m.group(1)[:3]
flags.append(True)
else:
flags.append(False)
else:
flags.append(True)
if stripped.startswith(marker):
marker = None
return flags
def _section_ranges(lines: Sequence[str], flags: Sequence[bool]) -> list[tuple[int, int]]:
"""(start, end) line-index ranges of every heading-delimited section."""
starts = [0]
for i, line in enumerate(lines):
if i > 0 and not flags[i] and _HEADING_RE.match(line):
starts.append(i)
return list(zip(starts, [*starts[1:], len(lines)], strict=True))
def _paragraph_blocks(lines: Sequence[str], flags: Sequence[bool]) -> list[str]:
"""Blocks of lines separated by blank lines *outside* fences.
A fenced code block (possibly containing blank lines) is one block.
"""
blocks: list[str] = []
cur: list[str] = []
for line, in_fence in zip(lines, flags, strict=True):
if in_fence or line.strip():
cur.append(line)
elif cur:
blocks.append("\n".join(cur))
cur = []
if cur:
blocks.append("\n".join(cur))
return blocks
def _split_oversized(block: str, hard: int = HARD_MAX_CHARS) -> list[str]:
"""Split one oversized block (e.g. a huge fenced code block) into line
groups under *hard* chars. A single line longer than *hard* is chopped
at char boundaries — better than exceeding the endpoint's token cap."""
parts: list[str] = []
cur: list[str] = []
cur_len = 0
for line in block.splitlines():
if len(line) > hard:
if cur:
parts.append("\n".join(cur))
cur, cur_len = [], 0
parts.extend(line[i : i + hard] for i in range(0, len(line), hard))
continue
if cur and cur_len + 1 + len(line) > hard:
parts.append("\n".join(cur))
cur, cur_len = [], 0
cur.append(line)
cur_len += 1 + len(line)
if cur:
parts.append("\n".join(cur))
return parts
def _pack_blocks(blocks: Sequence[str], target: int, overlap: int) -> list[str]:
"""Greedy paragraph packing; consecutive chunks share ``overlap`` chars."""
# Oversized blocks are split to the *budget*, so a solo-block chunk
# (anchor + block) cannot exceed the target — let alone the hard cap.
split_at = min(HARD_MAX_CHARS, max(1, target))
expanded: list[str] = []
for block in blocks:
if len(block) > split_at:
expanded.extend(_split_oversized(block, split_at))
else:
expanded.append(block)
chunks: list[str] = []
cur_parts: list[str] = []
cur_len = 0
for block in expanded:
if cur_len == 0:
cur_parts.append(block)
cur_len = len(block)
elif cur_len + 1 + len(block) <= target:
cur_parts.append(block)
cur_len += 1 + len(block)
else:
chunks.append("\n".join(cur_parts))
# The tail is only carried over when tail + block still fits the
# budget — otherwise the chunk would exceed the size cap.
tail = (
chunks[-1][-overlap:]
if (overlap > 0 and overlap + 1 + len(block) <= target)
else ""
)
cur_parts = [tail, block] if tail else [block]
cur_len = len(tail) + 1 + len(block) if tail else len(block)
if cur_parts:
chunks.append("\n".join(cur_parts))
return chunks
def _chunk_section(
lines: Sequence[str], flags: Sequence[bool], target: int, overlap: int
) -> list[str]:
"""Chunk one section (its heading line included, when it has one)."""
first = next((i for i, line in enumerate(lines) if line.strip()), None)
if first is None:
return []
anchor: str | None = None
if not flags[first] and _HEADING_RE.match(lines[first]):
anchor = lines[first]
body: Sequence[str] = lines[first + 1 :]
body_flags: Sequence[bool] = flags[first + 1 :]
else:
body = lines
body_flags = flags
full = (anchor + "\n" + "\n".join(body) if anchor is not None else "\n".join(body)).strip()
if not full:
return []
if len(full) <= target:
return [full]
blocks = _paragraph_blocks(body, body_flags)
if not blocks:
return [full]
budget = target - (len(anchor) + 2 if anchor is not None else 0)
packed = _pack_blocks(blocks, max(1, budget), overlap)
if anchor is None:
return packed
return [(anchor + "\n\n" + part).strip() for part in packed]
def chunk_markdown(
content: str, target_chars: int = 2000, overlap_chars: int = 200
) -> list[str]:
"""Split markdown into retrieval chunks (see module docstring for policy)."""
if target_chars <= 0:
raise ValueError("target_chars must be > 0")
if overlap_chars < 0:
raise ValueError("overlap_chars must be >= 0")
# The endpoint's token cap is absolute — a larger target is unsafe.
target = min(target_chars, HARD_MAX_CHARS)
overlap = min(overlap_chars, target - 1)
lines = content.splitlines()
flags = _iter_fence_state(lines)
chunks: list[str] = []
for start, end in _section_ranges(lines, flags):
chunks.extend(_chunk_section(lines[start:end], flags[start:end], target, overlap))
return [c for c in chunks if c.strip()]