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.
Migrate worker and backend contract to an operation-centric model, introducing opKey-based deduplication for Whisper alignment and PDF layout parsing. Add new operation request/state types and update worker endpoints to accept generic operation requests and expose operation status via SSE. Refactor client and server logic to support operation flows. Update deployment docs, environment examples, and Dockerfile to reflect new architecture and dependency management.
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.
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.
Introduce WorkerJobTiming interface to capture queue wait, S3 fetch, and compute
durations for compute worker jobs. Update job result and status response types
to include timing data. Enhance worker implementation to record and attach
timing metrics for alignment jobs, improving observability of job processing
latency. Update exports and type usage to support new timing fields.
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.
