`VisionClient::analyze` ran `image::load_from_memory`, `DynamicImage::resize_exact(Triangle)`,
and per-band JPEG encodes directly on the tokio task. Each call is
hundreds of ms of pure CPU per page. With multiple workers, the runtime
threads got starved — axum handlers, SSE streams, the crawler daemon's
async timers, and other tasks sharing the runtime all stalled while
analysis was active.
Extract a `prepare_analysis` helper that does ALL the CPU work
(decode + plan + width-reduce + slice + JPEG encode) and returns a
`PreparedAnalysis { Single | Sliced | Undecodable }` of already-encoded
byte payloads. `analyze` calls it inside `tokio::task::spawn_blocking`,
then the async HTTP loop only iterates over the prepared bytes — no
image-crate operations happen on the runtime any more.
Single page → one spawn_blocking → one HTTP call.
Tall page → one spawn_blocking → N OCR calls + 1 grounding call.
Memory peak rises slightly for the Sliced path (all bands held
encoded at the same time instead of one-at-a-time) — for a typical
manga page split into 4 slices at ~200 KB each, that's ~600 KB of
extra peak. Negligible vs. the runtime-starvation cost.
Co-Authored-By: Claude Opus 4.7 (1M context) <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": "0.87.5",
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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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