8 Commits

Author SHA1 Message Date
wizardchen
ef1047bf67 feat(parser): add OpenDataLoader, PaddleOCR-VL engines, and parser improvements
Introduce opendataloader and PaddleOCR-VL parser engines with tenant-level
settings UI, replace liteparse, and harden Excel/PPT/Markdown parsing.
Optional odl-hybrid sidecar stays local-build only and is excluded from
default dev-start and full profiles.
2026-06-03 12:29:13 +08:00
wizardchen
7b1bb1054f feat(docreader): speed up scanned-PDF parsing, stream image results, isolate heavy async queues
Large scanned PDFs (hundreds of pages) were slow and fragile end-to-end.
This change addresses the parse, transport, and task-scheduling layers:

docreader (parse + transport):
- Parallelize per-page scanned rendering across processes (forkserver/fork),
  with serial fallback. ~4-7x faster on large scanned PDFs; pdfium is not
  thread-safe so we fan out across processes. Configurable via
  DOCREADER_PDF_RENDER_PARALLELISM.
- Add server-streaming ReadStream RPC: emit one meta frame then one frame per
  image, so documents with many page images are no longer capped by the unary
  gRPC message-size limit (a 874-page PDF produced ~193MiB of images, far over
  the 50MB cap) and memory is bounded on both ends. Unary Read is kept for
  backward compatibility; the Go production reader switches to ReadStream.

VLM:
- Make the VLM HTTP timeout configurable (VLM_HTTP_TIMEOUT_SECONDS) and raise
  the default 90s -> 180s so dense scanned-page OCR does not time out with
  "context deadline exceeded".

Async task queues:
- Isolate high-volume, model-heavy fan-out tasks into dedicated asynq queues so
  a single large document cannot saturate the shared worker pool and block
  user-facing document parsing:
    image:multimodal  -> "multimodal"
    chunk:extract     -> "graph"
    question:generation -> "question"
- Register the new queues in the server weight map and the cancel inspector's
  scanned-queue set (so cancelling a knowledge still purges its pending tasks).
2026-06-03 12:29:13 +08:00
wolfkill
450a5bd2dd fix(docreader): throttle heavy parser concurrency 2026-05-07 17:36:09 +08:00
wizardchen
1938094dcc feat(parser): add PDFScannedParser for handling scanned PDFs
- Introduced PDFScannedParser as a fallback parser for scanned PDFs that converts pages into images for OCR processing.
- Updated PDFParser to include PDFScannedParser in the parsing chain, enhancing the document parsing capabilities for scanned content.
- Improved logging for better error tracking during PDF parsing operations.
2026-04-16 18:13:20 +08:00
wizardchen
397689d2f3 feat: introduce WeKnora Lite edition with lightweight configuration and deployment
- Added a new `.env.lite.example` file for the Lite version, providing a minimal configuration template.
- Updated `.env.example` to remove deprecated variables and include new Docreader settings.
- Enhanced Docker configurations to support the Lite version, including a new Dockerfile for the Docreader service.
- Introduced a Makefile target for building and running the Lite version, along with packaging capabilities.
- Created GitHub workflows for building and releasing Lite binaries, including Homebrew formula support.
- Implemented a new service file for managing the Lite version as a system service.

This update enables a streamlined, single-binary deployment of WeKnora, reducing external dependencies and simplifying setup.
2026-03-02 21:21:49 +08:00
begoniezhao
3e31fdeefd style: add necessary comments to improve code quality
- Add docstrings and inline comments for key functions and complex logic
- Unify comment style, eliminate magic numbers and ambiguous variable names
- No functional changes, only improve maintainability
2025-12-01 17:43:26 +08:00
begoniezhao
2d66abedf0 feat: 新增文档模型类,调整配置与解析逻辑,优化日志及导入
移除日志设置与冗余代码,优化导入、类型提示及OCR后端管理
统一调整各文件模块导入路径为绝对导入
调整导入路径,移除部分导入,优化日志及注释
升级文档解析器为 Docx2Parser,优化超时与图片处理逻辑
2025-11-18 22:37:01 +08:00
begoniezhao
c1f731e026 chore(docreader): 重新组织模块文件 2025-11-05 12:07:39 +08:00