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.
17 lines
366 B
JSON
17 lines
366 B
JSON
{
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"name": "@openreader/compute-core",
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"version": "0.0.0",
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"private": true,
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"type": "module",
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"dependencies": {
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"@huggingface/tokenizers": "^0.1.3",
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"@napi-rs/canvas": "^0.1.100",
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"ffmpeg-static": "^5.3.0",
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"jszip": "^3.10.1",
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"onnxruntime-node": "^1.26.0",
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"pdfjs-dist": "4.8.69"
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},
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"exports": {
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".": "./src/index.ts"
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}
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}
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