Add a CPU-only, English-first OCR engine (the `ocrs` crate on the `rten` runtime) as an alternative to the local-LLM "vision" backend, which ran too slowly on the target Raspberry Pi 5. - `ANALYSIS_BACKEND` (default `ocr`) selects the engine; `vision` keeps the existing LLM path. Deploy-time, env-only — not admin-tunable. - `analysis::ocr` adds an `OcrEngine` trait (testable seam), the `OcrsEngine` impl (models loaded once, inference on the blocking pool), and an `OcrAnalyzeDispatcher` that plugs into the existing `AnalyzeDispatcher` seam and reuses `persist_analysis`, so OCR text lands in `page_ocr_text` and the `search_doc` tsvector exactly as the vision path produces them. - The backend image bakes the two `.rten` models into /models, where `OCRS_DETECTION_MODEL` / `OCRS_RECOGNITION_MODEL` default. Because `/v1/me/page-search` ranks on `search_doc`, OCR text search works the moment pages are processed. Auto-tagging, scene description and NSFW flags remain the vision backend's job (deferred). Bumps to 0.90.0 (minor) in both manifests. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
33 lines
862 B
JSON
33 lines
862 B
JSON
{
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"name": "mangalord-frontend",
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"version": "0.90.0",
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"private": true,
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"type": "module",
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"scripts": {
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"dev": "vite dev",
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"build": "vite build",
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"preview": "vite preview",
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"check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
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"test": "vitest run",
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"test:watch": "vitest",
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"test:e2e": "playwright test"
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},
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"devDependencies": {
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"@lucide/svelte": "^1.16.0",
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"@playwright/test": "^1.48.0",
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"@sveltejs/adapter-node": "^5.2.0",
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"@sveltejs/kit": "^2.7.0",
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"@sveltejs/vite-plugin-svelte": "^4.0.0",
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"@testing-library/jest-dom": "^6.6.0",
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"@testing-library/svelte": "^5.2.0",
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"@types/node": "^22.7.0",
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"jsdom": "^25.0.0",
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"svelte": "^5.0.0",
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"svelte-check": "^4.0.0",
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"tslib": "^2.7.0",
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"typescript": "^5.6.0",
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"vite": "^5.4.0",
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"vitest": "^2.1.0"
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}
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}
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