PyO3 Python bindings for rhwp — parser and renderer for HWP/HWPX documents (Korean word processor format)
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rhwp-python
한국어 | English
⚠️ 비공식 커뮤니티 패키지입니다. 본 프로젝트는 edwardkim/rhwp 의 공식 배포가 아니며, rhwp 메인테이너가 직접 PyPI 에 올릴 경우를 대비해 이름을
rhwp-python으로 양보해 둔 상태입니다. rhwp 코어 버그는 업스트림 에 보고해 주세요.
rhwp — Rust 기반 HWP/HWPX(한컴오피스 문서) 파서·렌더러 — 의 PyO3 Python 바인딩.
- PyPI 패키지명:
rhwp-python - Python import:
import rhwp - Rust 코어:
edwardkim/rhwp
왜 rhwp-python 인가
- HWP + HWPX 동시 지원 — 대표 대안인
pyhwp는 HWP5 만 지원하고 2016년 이후 유지보수 중단 상태. rhwp 는 두 포맷을 같은 API 로 처리. - 텍스트 추출 62배 빠름 — HWP5 기준
pyhwp대비 96 ms vs 5,980 ms (sandbox 벤치). - LangChain 즉시 연동 —
rhwp.integrations.langchain.HwpLoader를 extras 로 제공, RAG 파이프라인에 바로 플러그인 가능. - 타입 완비 —
py.typed+.pyi스텁, pyright clean.
요구 사항
- Python 3.10+ (abi3-py310 wheel 하나로 3.10 ~ 3.13+ 커버)
- 코어 API 는 런타임 Python 의존성 없음
rhwp-python[langchain]extras 는langchain-core>=0.2하나만 추가 설치
설치
pip install rhwp-python
# 또는
uv add rhwp-python
사용법
import rhwp
# HWP / HWPX 파싱 — 파일 I/O + 파싱 단계에서 GIL 해제
doc = rhwp.parse("report.hwp")
print(doc.section_count, doc.paragraph_count, doc.page_count)
# 텍스트
full_text: str = doc.extract_text() # 빈 문단 제외, "\n" 으로 join
paragraphs: list[str] = doc.paragraphs() # 빈 문단 포함 원본 리스트
# SVG 렌더링 — 단일 페이지 또는 전체
svg_page0: str = doc.render_svg(page=0)
all_svgs: list[str] = doc.render_all_svg()
written: list[str] = doc.export_svg("output/", prefix="page")
# → page_001.svg, page_002.svg, ... (단일 페이지면 page.svg)
# PDF 렌더링 — list[int] 가 아니라 Python `bytes` 반환
pdf: bytes = doc.render_pdf()
byte_size: int = doc.export_pdf("output.pdf")
rhwp.Document(path) 는 rhwp.parse(path) 와 동일하게 동작.
LangChain 통합
pip install "rhwp-python[langchain]"
from rhwp.integrations.langchain import HwpLoader
# 문서 전체를 단일 Document 로 (기본 — single 모드)
docs = HwpLoader("report.hwp").load()
# 빈 문단 제외, 문단 1개당 Document 1개 (RAG 청킹용 — paragraph 모드)
docs = HwpLoader("report.hwp", mode="paragraph").load()
# lazy_load: Document 를 on-the-fly 로 yield (paragraph 모드에서 O(1) peak memory)
for d in HwpLoader("report.hwp", mode="paragraph").lazy_load():
index_into_vector_store(d) # 사용자 파이프라인
# 표준 LangChain 텍스트 스플리터에 바로 연결
from langchain_text_splitters import RecursiveCharacterTextSplitter
chunks = RecursiveCharacterTextSplitter(chunk_size=500).split_documents(docs)
모든 Document 메타데이터: source, section_count, paragraph_count,
page_count, rhwp_version. paragraph 모드에서는 paragraph_index 추가.
Document IR
RAG / LLM 파이프라인이 직접 소비하는 구조화 문서 모델. Pydantic V2 모델 + JSON Schema (Draft 2020-12) — HWP 의 구역 / 단락 / 표 / 그림 / 수식 / 각주 / 목록 / 캡션 / 목차 / 필드를 손실 없이 노출한다.
from rhwp.ir.nodes import ParagraphBlock, TableBlock
doc = rhwp.parse("report.hwp")
ir = doc.to_ir() # -> rhwp.ir.nodes.HwpDocument (Pydantic, frozen)
json_str = doc.to_ir_json(indent=2) # JSON 직렬화
# 본문 블록을 순서대로 스트리밍 (표/문단 혼합, TableCell.blocks 까지 재귀)
for block in ir.iter_blocks(scope="body"):
if isinstance(block, ParagraphBlock):
print("P", block.prov.section_idx, block.prov.para_idx, block.text)
elif isinstance(block, TableBlock):
print("T", block.rows, "x", block.cols, "cells=", len(block.cells))
표 3중 표현 — cells (구조화 SQL/순회용) + html (HtmlRAG 호환 LLM 프롬프트) +
text (평문 검색 폴백) 가 병기된다. 중첩 표는 TableCell.blocks 재귀로 자연 지원.
LangChain 통합 — 기존 loader 에 mode="ir-blocks" 추가:
from rhwp.integrations.langchain import HwpLoader
docs = HwpLoader("report.hwp", mode="ir-blocks").load()
# ^ 단락은 page_content=text, 표는 page_content=HTML. 메타에 kind / section_idx /
# para_idx / (표의 경우) rows / cols / text / caption 포함
JSON Schema — rhwp.ir.schema.export_schema() / load_schema(). 공개 $id:
https://danmeon.github.io/rhwp-python/schema/hwp_ir/v1/schema.json (불변 경로).
View 변환 (v0.4.0+) — HwpDocument.to_markdown() / to_html(include_css=False)
인스턴스 메서드로 IR 을 외부 view 포맷으로 직접 변환:
ir = rhwp.parse("report.hwp").to_ir()
md = ir.to_markdown() # GFM (표 / 각주 / 수식 / 이미지 placeholder)
html = ir.to_html(include_css=True) # 완전 HTML5 문서, <head> 안 단일 <style> 동봉
표는 모든 셀 span == 1 일 때 GFM |...|, 병합 셀 (rowspan/colspan > 1) 은
TableBlock.html 그대로 inline. 각주/미주는 본문 paragraph 안 [^N] reference +
끝 정의 (Markdown) / <aside id="fn-N"> 정의 (HTML). 이미지는 picture.image.uri
(bin://N) pass-through — raw bytes 가 필요하면 Document.bytes_for_image(picture)
를 별도 호출 (embedded 모드 미지원). 머리글/꼬리말은 출력 미포함 (페이지 단위 장식).
호출은 IR 인스턴스를 변경하지 않아 (frozen=True) 동일 IR 에 대한 재호출은 byte-equal.
rhwp-py CLI
pip install "rhwp-python[cli]" # parse / version / schema / ir / blocks
pip install "rhwp-python[cli-chunks]" # + chunks (langchain text splitter)
rhwp-py parse report.hwp
rhwp-py blocks report.hwp --kind table --format ndjson | jq '.rows'
rhwp-py chunks report.hwp --size 1000 --format ndjson
rhwp-py 는 구조 추출 (IR / 블록 / 청크 / 스키마) 전담 — 시각 출력 (SVG/PDF) /
메타데이터 덤프는 상류 rhwp Rust 바이너리. 자세한 사용은 rhwp-py --help
또는 cli.md 참조.
MCP server (rhwp-mcp)
Model Context Protocol 서버 — Claude Desktop / Cursor / Cline / Continue.dev / Goose 등 LLM 에이전트가 HWP/HWPX 파일을 직접 파싱·요약·청크화할 수 있다. standalone fastmcp v3 기반 (2026-05 기준 MCP 서버 약 70% 시장 점유의 사실상 표준).
pip install "rhwp-python[mcp]" # 도구 6 종 (parse / extract / IR / blocks / view×2)
pip install "rhwp-python[mcp-chunks]" # + chunks (RAG 청킹 — langchain-text-splitters)
노출 도구 (7 종)
| 도구 | 입력 | 출력 |
|---|---|---|
parse_hwp_summary |
path |
ParseSummary — sections / paragraphs / pages 카운트 + rhwp-core 버전 |
extract_text |
path |
str — 단락별 평문 (LF 결합) |
get_ir |
path |
HwpDocument — Document IR 전체 (Pydantic 모델, fastmcp 자동 직렬화) |
iter_blocks |
path, kind?, scope, limit? |
list[Block] — discriminated union (paragraph / table / picture / ... 11 변형, kind / scope 필터링) |
to_markdown |
path |
str — GFM Markdown (v0.4.0 view API thin wrapper) |
to_html |
path, include_css |
str — HTML5 문서 (v0.4.0 view API thin wrapper) |
chunks |
path, mode, size, overlap, include_furniture |
list[ChunkRecord] — LangChain RecursiveCharacterTextSplitter 적용 청크. [mcp-chunks] extras 필요 |
v0.5.1 마이그 노트 — 출력 시그니처가 dict / list[dict] 에서 Pydantic 모델로 강화됐습니다 (PATCH). fastmcp Client 의
result.structured_content(raw dict, MCP wire format) 는 v0.5.0 과 byte-equal — 외부 LLM 프롬프트 / 후처리 코드 영향 0. 다만result.data사용 패턴은 변경: v0.5.0 의result.data["body"](dict 인덱싱) → v0.5.1 의result.data.body(typed attribute) 또는result.data.model_dump()["body"].iter_blocks의 list element 는 fastmcp v3 의oneOfdeserialization 한계로 dict 폴백 —block["kind"]access 패턴은 그대로 동작.
Claude Desktop 등록
claude_desktop_config.json 에 추가:
{
"mcpServers": {
"rhwp": {
"command": "rhwp-mcp"
}
}
}
(macOS: ~/Library/Application Support/Claude/claude_desktop_config.json. Windows:
%APPDATA%\Claude\claude_desktop_config.json.) Claude Desktop 재시작 후 도구
아이콘에 7 개 도구 노출.
다른 클라이언트
| 클라이언트 | stdio | streamable-http | 등록 방법 |
|---|---|---|---|
| Claude Desktop | ✅ | ❌ | claude_desktop_config.json (위 예시) |
| Cline (VSCode) | ✅ | ✅ | VSCode 설정 → MCP servers |
| Cursor | ✅ | ❌ | Settings → Features → Model Context Protocol |
| Continue.dev | ✅ | ⚠️ (실험) | ~/.continue/config.json |
| Goose (Block) | ✅ | ✅ | goose configure |
| 자체 에이전트 | ✅ | ✅ | Anthropic SDK 의 MCP client / fastmcp Client |
Streamable HTTP (서버 배포)
서버 컨테이너 / 다중 클라이언트 시나리오는 streamable-http transport:
rhwp-mcp --transport streamable-http --port 8000
# 외부 노출 (보안: reverse proxy + 인증 운영자 책임)
rhwp-mcp --transport streamable-http --host 0.0.0.0 --port 8000
기본 --host 127.0.0.1 — 외부 노출 회피. rhwp-mcp 는 인증 / TLS / sandboxing 미내장 — Caddy / Nginx 등 reverse proxy 가 책임. 자세한 사용은 rhwp-mcp --help 또는 mcp.md 참조.
성능
Apple M2 (8 코어) release 빌드. Parse = 파일 읽기 + 전체 파싱 + Document 생성.
워크로드: 9 개 파일 (aift.hwp 5.5 MB + table-vpos-01.hwpx 359 KB + tac-img-02.hwpx 3.96 MB, ×3).
| 워커 수 | Parse 시간 | 순차 대비 가속 |
|---|---|---|
| 1 | 268 ms | 1.00× (기준) |
| 2 | 141 ms | 1.91× |
| 4 | 97 ms | 2.76× |
| 8 | 67 ms | 4.01× |
parse() 와 PDF 변환 단계는 py.detach 로 GIL 을 해제하므로 ThreadPoolExecutor 가
코어 수에 비례해 스케일. PDF 렌더링 자체는 usvg + pdf-writer 내부에서 CPU/allocator
바운드라 2 ~ 3 워커에서 약 1.1× 정도만 향상됨 — 재현은 benches/bench_gil.py 참고.
알려진 제약 / 운영 노트
운영상 제약 (Document 의 단일 스레드 모델, async 진입점, PDF stdout 노이즈)
및 미구현 영역 요약은 KNOWN_ISSUES.md. 작업 중 / 계획 항목은
docs/roadmap/ 의 활성 spec 인덱스.
개발
소스에서 빌드·테스트·기여하는 절차는 CONTRIBUTING.md 참조.
버전 관리
이 Python 패키지와 rhwp Rust 코어는 독립적으로 버저닝됩니다.
rhwp.version() 은 이 패키지 버전을, rhwp.rhwp_core_version() 은
번들된 Rust 코어 버전을 반환합니다.
라이선스
MIT. 저작권자: Edward Kim (rhwp Rust 코어) + DanMeon (rhwp-python 바인딩). 자세한 내용은 LICENSE.
프로젝트 홈
- 바인딩 소스 / 이슈: https://github.com/DanMeon/rhwp-python
- rhwp Rust 코어: https://github.com/edwardkim/rhwp
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