Commit graph

6 commits

Author SHA1 Message Date
Richard R
4497f610c0 feat(pdf): implement granular PDF parse progress tracking and migrate to parseState
Introduce detailed progress reporting for PDF layout parsing, exposing phase and page-level updates to clients. Replace legacy parseStatus with a structured parseState field in the database schema, updating all relevant backend and API logic. Add SSE endpoint for real-time parse progress updates. Update client hooks and UI to reflect granular progress and improve user feedback during document parsing. Includes migration scripts and new parse-state utility module.
2026-05-21 10:27:16 -06:00
Richard R
88809b826b fix(compute): unify PDF layout result handling with object key support
Update compute backend interfaces and job logic to consistently handle parsed
PDF layout results as either direct data or S3 object key references. Refactor
result types, local and worker backends, and job processing to support this
pattern. Improves flexibility for large document parsing and object storage
integration.
2026-05-20 15:38:24 -06:00
Richard R
1bd13c02fe refactor(compute): modularize core contracts and runtime, enable flexible backend resolution
Restructure compute core by extracting job contracts and runtime logic into separate
modules (`contracts.ts`, `local-runtime.ts`) for improved modularity and clearer
API boundaries. Update exports and imports across worker, server, and local
compute backends to use the new modules. Enhance Next.js config to support
dynamic backend selection via build-time constants and aliasing, enabling
seamless switching between local and worker compute modes. Adjust TypeScript
paths and Dockerfile entrypoint to align with the new structure.
2026-05-20 15:07:22 -06:00
Richard R
f1aa1c3e3b feat(compute): add external compute worker backend and integration
Introduce support for external compute worker mode (`COMPUTE_MODE=worker`) using a new `WorkerComputeBackend`. This enables offloading heavy ONNX Whisper alignment and PDF layout parsing to a standalone worker service (Redis + BullMQ), improving scalability and compatibility with serverless/limited environments.

- Add `@openreader/compute-core` as a shared package for ONNX inference and PDF parsing logic.
- Implement `WorkerComputeBackend` and worker contract/types for remote job execution.
- Update compute backend selection logic and remove previous worker mode guards.
- Extend `WhisperAlignInput` and `PdfLayoutInput` types to support object keys for remote data access.
- Refactor local compute backend to use `@openreader/compute-core` and support both buffer and object key inputs.
- Update job runner, TTS segment alignment, and PDF layout parsing flows to use new compute backend APIs.
- Add scripts, Docker workflow, and documentation for deploying and running the compute worker.
- Update environment variable docs and examples for worker mode, including storage requirements and configuration.
- Document published images and stack changes to reflect the new compute worker architecture.

BREAKING CHANGE: `COMPUTE_MODE=worker` now requires an external compute worker service and S3-compatible object storage. Embedded SeaweedFS (`weed mini`) is not supported in worker mode. See the new documentation for deployment and configuration details.
2026-05-19 15:21:25 -06:00
Richard R
874e5ef359 refactor(whisper): migrate word alignment to ONNX backend and remove whisper.cpp integration
Replace the previous whisper.cpp-based word alignment with a fully ONNX-based
implementation using onnxruntime-node and @huggingface/tokenizers. Add new
Whisper ONNX model management, alignment mapping, and spectral analysis modules.
Remove all code and documentation referencing whisper.cpp, update environment
variables, Dockerfile, and docs to reflect ONNX-only alignment. Add unit tests
for alignment and ONNX model logic.
2026-05-19 13:00:21 -06:00
Richard R
766c04d08d refactor(pdf): implement ONNX-based Docling layout parsing and block-level TTS for PDFs
Migrate PDF parsing to use ONNX Docling layout model for structured block extraction, enabling improved TTS segmentation and chaptering. Add compute backend abstraction for heavy tasks (alignment, layout parsing) with configuration via `OPENREADER_COMPUTE_MODE`. Integrate block-level locators and document settings for per-document PDF parsing options. Update S3 storage for parsed PDF JSON, add migration and schema changes, and extend client and server APIs for parsed data and settings. Remove legacy word highlight flag in favor of compute capability detection.

- Add ONNX model download, local/none compute modes, and `onnxruntime-node` dependency
- Update PDF viewer and TTS pipeline to use parsed blocks and block-level locators
- Add document settings storage and APIs for per-document PDF options
- Update S3 storage layout for parsed PDF JSON
- Add admin/config/docs updates for new compute and parsing features
- Remove obsolete word highlight runtime flag and UI

BREAKING CHANGE: PDF parsing and word highlighting now require `OPENREADER_COMPUTE_MODE=local` and ONNX model; document settings and S3 layout updated; legacy word highlight flag removed.
2026-05-17 21:18:51 -06:00