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