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. |
||
|---|---|---|
| .. | ||
| docs | ||
| static | ||
| versioned_docs | ||
| versioned_sidebars | ||
| .gitignore | ||
| custom.css | ||
| docusaurus.config.ts | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| sidebars.ts | ||
| tsconfig.json | ||
| versions.json | ||