Introduce idle and hard cap timeouts for PDF layout parsing in the compute worker,
ensuring long-running jobs are capped and progress is tracked with explicit
timeouts. Refactor NATS JetStream client initialization to use a configurable
API timeout. Update PDF viewer UI to treat parse state as 'pending' by default,
improving clarity during document preparation and parsing. Refine parse loader
labels and progress logic for more accurate user feedback.
Update compute worker to use separate environment variable for PDF job attempts
(`COMPUTE_PDF_JOB_ATTEMPTS`) and set Whisper job max deliveries to 1, clarifying
and separating retry logic between job types. Adjust `.env.example` and deployment
docs to comment out defaults and document new/renamed variables for advanced tuning.
In TTS segment ensure route, introduce explicit timeouts for Whisper alignment
operations, with configurable durations for local and worker modes, improving
robustness and error handling for long-running alignments.
Revise PDF viewer to introduce an explicit 'unknown' parse state and improve
loader and status messaging for better user clarity. Refactor Spinner to use
'currentColor' for border styling and simplify conditional rendering based on
className. Expand compute worker .env.example with explicit concurrency,
timeout, and job attempt variables for enhanced configuration transparency.
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.
Align compute worker to use PORT environment variable consistently across
Dockerfile, docker-compose, and server code, replacing COMPUTE_WORKER_PORT.
Update .env.example and deployment documentation to clarify platform-specific
behavior, especially for Railway and similar environments. This simplifies
configuration and reduces platform-specific issues.
Update worker server to prioritize platform-specific PORT environment variable
when setting the compute worker port. Add robust normalization for
COMPUTE_WORKER_URL, ensuring proper scheme and validation, and trim trailing
slashes for consistency. This enhances reliability in diverse deployment
environments.
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.
Add `COMPUTE_JOBS_STREAM_MAX_BYTES` and `COMPUTE_JOB_STATES_MAX_BYTES` to
environment example, worker server configuration, and deployment docs. These
variables allow tuning JetStream resource caps for job queue and state storage
to better fit deployment requirements.
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.
Remove legacy .npmrc config. Revise root and worker Dockerfiles to enhance
layer caching, explicitly copy only required build artifacts, and streamline
runtime dependencies. Switch to pnpm workspace-aware install for compute worker
to ensure correct dependency resolution. Set Next.js output to standalone mode
for optimized server builds. Update docker-compose sync targets for consistency.
Expand compute worker documentation to explain NATS authentication using
either a credentials file or raw credentials string, including Synadia Cloud
integration steps. Update environment variable examples and server connection
logic to support both `NATS_CREDS_FILE` and `NATS_CREDS`. Add `.creds` to
.gitignore to avoid accidental credential leaks.
This improves deployment flexibility for cloud and on-prem environments by
supporting multiple authentication methods for NATS JetStream.
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 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.
