Refactor Dockerfile to optimize layering, embed entrypoint migration tools and compute worker as deployable bundles, and merge only required dependencies for runtime scripts. Add docker/entrypoint-migration-tools package and update workspace configuration. Refactor PDF parsing to resolve standard font data path robustly at runtime. Update dependencies and output config for Next.js standalone mode. Enhance entrypoint script to launch embedded compute worker from deployed bundle.
- Dockerfile now deploys migration tools and compute worker as separate bundles
- compute/core/pdf uses new pdfjs-runtime utility for robust font path resolution
- docker/entrypoint-migration-tools added for migration script dependencies
- scripts/openreader-entrypoint.mjs launches embedded worker from deployed bundle
- next.config.ts enables standalone output and includes standard_fonts in tracing
- Dependency updates across package.json and compute/worker/package.json
BREAKING CHANGE: Docker image structure and runtime entrypoint logic have changed; custom deployment scripts or Docker overrides may require updates.
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.
Replace Redis and BullMQ with NATS JetStream and KV for job queuing and state management
in the compute worker service. Update environment variables, Docker Compose, and documentation
to reflect the new message queue backend. Adjust dependencies and code to use NATS-based
work queue and key-value storage for durable job processing.
This change improves scalability and reliability of distributed compute workloads by leveraging
NATS JetStream's work queue and persistence features. Documentation and configuration examples
are updated to guide deployments using the new backend.
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.
