Enhance article photo handling and API documentation.
- Updated API documentation to reflect changes in article data structure. - Improved ArticlePhoto component to support dynamic sizing and object fit options. - Added performance logging for image upload in ArticlePhotosDialog and ArticlePhotoTile components. - Enhanced ArticleTile to conditionally render photos and adjusted styling for better layout. - Optimized image preparation process with configurable AVIF encoding speed.
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107
scripts/bench-avif-encode.mjs
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107
scripts/bench-avif-encode.mjs
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#!/usr/bin/env node
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/**
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* Benchmark AVIF encode options (+ JPEG/WebP reference) on a real fixture.
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* Usage: node scripts/bench-avif-encode.mjs [path-to-avif]
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*/
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import { readFile } from 'node:fs/promises';
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import { resolve, dirname } from 'node:path';
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import { fileURLToPath, pathToFileURL } from 'node:url';
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import decodeAvif, { init as initAvifDecode } from '@jsquash/avif/decode.js';
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import encodeAvif, { init as initAvifEncode } from '@jsquash/avif/encode.js';
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import encodeJpeg, { init as initJpegEncode } from '@jsquash/jpeg/encode.js';
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import encodeWebp, { init as initWebpEncode } from '@jsquash/webp/encode.js';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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const root = resolve(__dirname, '..');
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const RUNS = 3;
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const fixturePath = resolve(
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process.argv[2] ?? resolve(root, 'tmp/bench-source.avif'),
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);
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async function compileWasm(relPath) {
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const bytes = await readFile(resolve(root, relPath));
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return WebAssembly.compile(bytes);
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}
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function median(values) {
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const sorted = [...values].sort((a, b) => a - b);
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return sorted[Math.floor(sorted.length / 2)];
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}
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async function timeEncode(label, fn) {
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const times = [];
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let bytes = 0;
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for (let i = 0; i < RUNS; i += 1) {
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const start = performance.now();
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const buf = await fn();
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times.push(performance.now() - start);
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bytes = buf.byteLength ?? buf.length;
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}
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return {
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label,
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encodeMs: Math.round(median(times)),
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outputBytes: bytes,
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};
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}
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console.log('init wasm…');
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await initAvifDecode(await compileWasm('node_modules/@jsquash/avif/codec/dec/avif_dec.wasm'));
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await initAvifEncode(await compileWasm('node_modules/@jsquash/avif/codec/enc/avif_enc.wasm'));
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await initJpegEncode(await compileWasm('node_modules/@jsquash/jpeg/codec/enc/mozjpeg_enc.wasm'));
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await initWebpEncode(await compileWasm('node_modules/@jsquash/webp/codec/enc/webp_enc.wasm'));
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const raw = await readFile(fixturePath);
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console.log(`fixture: ${fixturePath} (${raw.byteLength} bytes)`);
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const decodeStarted = performance.now();
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const imageData = await decodeAvif(raw.buffer.slice(raw.byteOffset, raw.byteOffset + raw.byteLength));
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const decodeMs = Math.round(performance.now() - decodeStarted);
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console.log(`decode: ${decodeMs}ms → ${imageData.width}×${imageData.height}`);
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// Warmup
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await encodeAvif(imageData, { quality: 80, speed: 10 });
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const variants = [
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{ label: 'avif q80/s6 (baseline)', fn: () => encodeAvif(imageData, { quality: 80, speed: 6 }) },
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{ label: 'avif q80/s8', fn: () => encodeAvif(imageData, { quality: 80, speed: 8 }) },
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{ label: 'avif q80/s10', fn: () => encodeAvif(imageData, { quality: 80, speed: 10 }) },
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{ label: 'avif q70/s8', fn: () => encodeAvif(imageData, { quality: 70, speed: 8 }) },
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{ label: 'avif q70/s10', fn: () => encodeAvif(imageData, { quality: 70, speed: 10 }) },
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{ label: 'jpeg q80 (ref)', fn: () => encodeJpeg(imageData, { quality: 80 }) },
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{ label: 'webp q80 (ref)', fn: () => encodeWebp(imageData, { quality: 80 }) },
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];
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const rows = [];
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for (const variant of variants) {
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process.stdout.write(`… ${variant.label}\n`);
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rows.push(await timeEncode(variant.label, variant.fn));
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}
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const baseline = rows.find((row) => row.label.includes('baseline'));
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console.log('\nresults (median of 3 runs):');
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console.log(
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'label'.padEnd(28),
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'encodeMs'.padStart(10),
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'bytes'.padStart(10),
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'vsBaseMs'.padStart(10),
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'vsBaseSz'.padStart(10),
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);
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for (const row of rows) {
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const vsMs = baseline ? `${(row.encodeMs / baseline.encodeMs).toFixed(2)}x` : '-';
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const vsSz = baseline ? `${(row.outputBytes / baseline.outputBytes).toFixed(2)}x` : '-';
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console.log(
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row.label.padEnd(28),
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String(row.encodeMs).padStart(10),
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String(row.outputBytes).padStart(10),
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vsMs.padStart(10),
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vsSz.padStart(10),
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);
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}
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console.log(JSON.stringify({
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fixturePath,
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decodeMs,
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size: `${imageData.width}×${imageData.height}`,
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rows,
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}, null, 2));
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