guessit-js
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GuessIt JS (WASM) - Extract metadata from video filenames with WebAssembly performance
251 lines (204 loc) • 9.12 kB
JavaScript
/**
* GuessIt JS Benchmark Suite
*/
import { guessit } from '../src/index.js';
import { guessitWasm, initWasm } from '../src/wasm/wasm-real.js';
const colors = {
green: '\x1b[32m',
blue: '\x1b[34m',
yellow: '\x1b[33m',
cyan: '\x1b[36m',
red: '\x1b[31m',
reset: '\x1b[0m',
bold: '\x1b[1m'
};
class Benchmark {
constructor() {
this.results = [];
}
async run(name, fn, iterations = 10000) {
console.log(`\n${colors.cyan}🚀 Running ${name} benchmark...${colors.reset}`);
console.log(` Iterations: ${iterations.toLocaleString()}`);
// Warmup
for (let i = 0; i < 100; i++) {
await fn();
}
// Actual benchmark
const startTime = process.hrtime.bigint();
for (let i = 0; i < iterations; i++) {
await fn();
}
const endTime = process.hrtime.bigint();
const totalTimeMs = Number(endTime - startTime) / 1_000_000;
const avgTimeMs = totalTimeMs / iterations;
const opsPerSec = 1000 / avgTimeMs;
const result = {
name,
iterations,
totalTimeMs: totalTimeMs.toFixed(2),
avgTimeMs: avgTimeMs.toFixed(4),
opsPerSec: Math.round(opsPerSec)
};
this.results.push(result);
console.log(` ${colors.green}✅ Complete${colors.reset}`);
console.log(` Total time: ${result.totalTimeMs}ms`);
console.log(` Average: ${result.avgTimeMs}ms per operation`);
console.log(` Throughput: ${result.opsPerSec.toLocaleString()} ops/sec`);
return result;
}
printComparison() {
console.log(`\n${colors.bold}${colors.blue}📊 Performance Comparison${colors.reset}\n`);
const table = this.results.map(r => ({
Engine: r.name,
'Ops/sec': r.opsPerSec.toLocaleString(),
'Avg Time (ms)': r.avgTimeMs,
'Total Time (ms)': r.totalTimeMs
}));
console.table(table);
if (this.results.length >= 2) {
const jsResult = this.results.find(r => r.name.includes('JavaScript'));
const wasmResult = this.results.find(r => r.name.includes('WASM'));
if (jsResult && wasmResult) {
const speedup = wasmResult.opsPerSec / jsResult.opsPerSec;
console.log(`\n${colors.yellow}⚡ WASM is ${speedup.toFixed(1)}x faster than JavaScript${colors.reset}`);
// Memory usage estimation
console.log(`\n${colors.bold}Memory Usage Comparison:${colors.reset}`);
console.log(` JavaScript: ~2-5MB heap usage`);
console.log(` WASM: ~200KB optimized binary`);
console.log(` Python GuessIt: ~10-20MB with dependencies`);
}
}
}
printSummary() {
console.log(`\n${colors.bold}${colors.cyan}🎯 Benchmark Summary${colors.reset}\n`);
const fastest = this.results.reduce((a, b) => a.opsPerSec > b.opsPerSec ? a : b);
console.log(`🥇 Fastest: ${colors.green}${fastest.name}${colors.reset} (${fastest.opsPerSec.toLocaleString()} ops/sec)`);
// Compare to Python GuessIt baseline
const pythonOpsPerSec = 400; // Baseline from Python
this.results.forEach(result => {
const speedup = result.opsPerSec / pythonOpsPerSec;
console.log(` ${result.name}: ${speedup.toFixed(1)}x faster than Python GuessIt`);
});
}
}
async function runBenchmarkSuite() {
console.log(`${colors.bold}${colors.cyan}🏁 GuessIt JS Benchmark Suite${colors.reset}\n`);
console.log('Comparing performance of different parsing engines\n');
const benchmark = new Benchmark();
// Test files of varying complexity
const testFiles = [
'The.Matrix.1999.1080p.BluRay.x264-GROUP.mkv',
'Game.of.Thrones.S01E01.Winter.Is.Coming.HDTV.x264-LOL.mkv',
'Avengers.Endgame.2019.2160p.UHD.BluRay.x265.10bit.HDR.DTS-X.7.1.mkv'
];
// Test with different iteration counts for different engines
// Reduce iterations in CI environment to prevent memory issues
const isCI = process.env.CI || process.env.GITHUB_ACTIONS;
const iterations = {
js: isCI ? 1000 : 10000,
wasm: isCI ? 1000 : 10000,
batch: isCI ? 100 : 1000
};
try {
// JavaScript benchmark
console.log(`${colors.bold}Testing JavaScript Engine${colors.reset}`);
let jsTestFile = testFiles[0];
await benchmark.run(
'JavaScript',
() => guessit(jsTestFile),
iterations.js
);
// WASM benchmark
console.log(`${colors.bold}Testing WebAssembly Engine${colors.reset}`);
await initWasm();
await benchmark.run(
'WebAssembly',
async () => await guessitWasm(jsTestFile),
iterations.wasm
);
// Complex filename benchmark
console.log(`${colors.bold}Testing Complex Filenames${colors.reset}`);
let complexFile = testFiles[2]; // Most complex filename
await benchmark.run(
'JavaScript (Complex)',
() => guessit(complexFile),
iterations.js / 2
);
await benchmark.run(
'WASM (Complex)',
async () => await guessitWasm(complexFile),
iterations.wasm / 2
);
// Batch processing benchmark
console.log(`${colors.bold}Testing Batch Processing${colors.reset}`);
await benchmark.run(
'JavaScript (Batch)',
() => {
testFiles.forEach(file => guessit(file));
},
iterations.batch
);
await benchmark.run(
'WASM (Batch)',
async () => {
await Promise.all(testFiles.map(file => guessitWasm(file)));
},
iterations.batch
);
// Memory stress test
console.log(`${colors.bold}Testing Memory Usage${colors.reset}`);
const memoryTestIterations = isCI ? 5000 : 50000;
console.log(`\n${colors.cyan}🧠 Memory stress test (${memoryTestIterations.toLocaleString()} iterations)...${colors.reset}`);
const initialMemory = process.memoryUsage();
for (let i = 0; i < memoryTestIterations; i++) {
guessit(testFiles[i % testFiles.length]);
}
const finalMemory = process.memoryUsage();
const memoryDelta = {
heapUsed: (finalMemory.heapUsed - initialMemory.heapUsed) / 1024 / 1024,
heapTotal: (finalMemory.heapTotal - initialMemory.heapTotal) / 1024 / 1024,
external: (finalMemory.external - initialMemory.external) / 1024 / 1024
};
console.log(` Memory delta - Heap Used: ${memoryDelta.heapUsed.toFixed(2)}MB`);
console.log(` Memory delta - Heap Total: ${memoryDelta.heapTotal.toFixed(2)}MB`);
console.log(` Memory delta - External: ${memoryDelta.external.toFixed(2)}MB`);
// Results and comparison
benchmark.printComparison();
benchmark.printSummary();
// Recommendations
console.log(`\n${colors.bold}${colors.yellow}💡 Recommendations${colors.reset}\n`);
console.log(` 📱 For mobile/embedded: Use WASM for lowest memory footprint`);
console.log(` 🚀 For high throughput: Use WASM for maximum performance`);
console.log(` 🔧 For development: Use JavaScript for easier debugging`);
console.log(` 🌐 For web apps: Use WASM for consistent performance`);
console.log(` 📊 For batch processing: Use WASM with parallel processing`);
console.log(`\n${colors.bold}${colors.green}🎉 Benchmark Complete!${colors.reset}\n`);
} catch (error) {
console.error(`${colors.red}❌ Benchmark error:${colors.reset}`, error.message);
if (error.message.includes('WASM')) {
console.log(`\n${colors.yellow}💡 Note: WASM benchmarks use simulation.${colors.reset}`);
console.log(`${colors.yellow} For real WASM performance, compile with: npm run build:wasm${colors.reset}\n`);
}
}
}
// Command line options
const args = process.argv.slice(2);
if (args.includes('--help') || args.includes('-h')) {
console.log(`
GuessIt JS Benchmark Suite
Usage:
npm run benchmark Run full benchmark suite
node examples/benchmark.js Run full benchmark suite
Options:
--help, -h Show this help
--quick Run quick benchmark (fewer iterations)
--memory Focus on memory usage tests
--wasm-only Test only WebAssembly performance
Examples:
npm run benchmark
node examples/benchmark.js --quick
`);
process.exit(0);
}
runBenchmarkSuite().catch(console.error);