boos
e0a5f57793
Vendor the rebranded BoosAPI Desktop client (Tauri + Vue) into metapi as a monorepo subdirectory under desktop/. Source only — node_modules, dist, Cargo target and the upstream .git history are excluded. desktop/ keeps its own independent Cargo workspace (desktop/src-tauri with crates/*); it is not part of the backend boosapi crate, so a `cargo check` at the metapi root still compiles only the backend. Build the desktop app from desktop/src-tauri per desktop/README.md. Note: app icons are still placeholder assets pending the final BoosAPI logo. The updater signing keys live outside the repo and are not included.
103 lines
2.8 KiB
JavaScript
103 lines
2.8 KiB
JavaScript
#!/usr/bin/env node
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/**
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* Measure KaTeX render time and recommend a worker threshold N
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* N ≈ B / (R × (1 - H))
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* - B: main-thread budget (ms) — defaults to 50ms and 16.7ms
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* - R: avg render time per unique formula (ms)
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* - H: cache hit rate (0~1). For first paint assume H=0
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*/
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import { performance } from 'node:perf_hooks'
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import process from 'node:process'
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async function getKatex() {
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try {
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const k = await import('katex')
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return k.default || k
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}
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catch {
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console.error('[measure-katex-threshold] KaTeX not installed. pnpm add katex -D')
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process.exit(1)
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}
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}
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const FORMULAS = {
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simple: [
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'x',
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'a + b',
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'E = mc^2',
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],
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medium: [
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'\\sum_{i=1}^{n} i = \\frac{n(n+1)}{2}',
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'\\frac{a}{b} + \\sqrt{x}',
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'\\lim_{x \\to 0} \\frac{\\sin x}{x}',
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],
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complex: [
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'\\int_{-\\infty}^{\\infty} e^{-x^2} \\, dx = \\sqrt{\\pi}',
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'\\begin{pmatrix} a & b \\\\ c & d \\end{pmatrix}',
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'\\frac{d}{dx}\\left(\\int_{a}^{x} f(t)\\,dt\\right) = f(x)',
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],
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}
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function bench(katex, formulas, iterations = 50) {
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// warm-up
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for (let i = 0; i < 10; i++) {
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for (const f of formulas) katex.renderToString(f, { throwOnError: false, displayMode: true })
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}
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const start = performance.now()
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for (let i = 0; i < iterations; i++) {
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for (const f of formulas) katex.renderToString(f, { throwOnError: false, displayMode: true })
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}
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const end = performance.now()
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const total = end - start
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const renders = iterations * formulas.length
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return { avg: total / renders, total, renders }
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}
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function recommend({ R, H = 0, B = 50 }) {
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const denom = R * (1 - H) || 1e-6
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const N = B / denom
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return Math.max(1, Math.floor(N))
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}
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function fmt(n, digits = 2) {
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return Number(n).toFixed(digits)
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}
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(async () => {
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const katex = await getKatex()
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const s = bench(katex, FORMULAS.simple)
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const m = bench(katex, FORMULAS.medium)
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const c = bench(katex, FORMULAS.complex)
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const rec50 = {
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simple: recommend({ R: s.avg, B: 50 }),
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medium: recommend({ R: m.avg, B: 50 }),
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complex: recommend({ R: c.avg, B: 50 }),
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}
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const rec16 = {
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simple: recommend({ R: s.avg, B: 16.7 }),
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medium: recommend({ R: m.avg, B: 16.7 }),
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complex: recommend({ R: c.avg, B: 16.7 }),
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}
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console.log('\nKaTeX Rendering Benchmark (ms per render)')
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console.table({
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simple: fmt(s.avg),
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medium: fmt(m.avg),
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complex: fmt(c.avg),
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})
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console.log('\nRecommended worker thresholds (N = floor(B / R))')
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console.table({
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'B=50ms (no cache)': rec50,
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'B=16.7ms (no cache)': rec16,
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})
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console.log('\nNotes:')
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console.log('- Thresholds are for first paint (H=0). With cache, N increases roughly by 1/(1-H).')
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console.log('- Use medium thresholds as default. Drop to complex thresholds if many matrices/integrals.')
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console.log('- If your content is very simple, you can raise the threshold accordingly.')
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})()
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