Files
lynchmark/scripts/run-benchmark.js

75 lines
3.0 KiB
JavaScript

import { promises as fs } from 'fs';
import path from 'path';
import { pathToFileURL } from 'url';
import axios from 'axios';
import { performance } from 'perf_hooks';
const CWD = process.cwd();
const README_PATH = path.join(CWD, 'README');
const TESTS_DIR = path.join(CWD, 'tests');
const RESULTS_PATH = path.join(CWD, 'results.json');
const getLlmCode = async (prompt, model, functionName, temperature) => {
const start = performance.now();
try {
const res = await axios.post(
'https://openrouter.ai/api/v1/chat/completions',
{ model, messages: [{ role: 'user', content: prompt }], ...(temperature !== undefined && { temperature }) },
{ headers: { Authorization: `Bearer ${process.env.OPENROUTER_KEY}` } }
);
const duration = (performance.now() - start) / 1000;
const content = res.data.choices[0].message.content;
const code = content.match(/```(?:javascript|js)?\n([\s\S]+?)\n```/)?.[1].trim() ?? content.trim();
const finalCode = `${code.replace(/export\s+default\s+.*$/m, '')}\nexport default ${functionName};`;
return { code: finalCode, duration };
} catch (error) {
console.error(`API Error for ${model}: ${error.message}`);
return null;
}
};
const main = async () => {
const readme = await fs.readFile(README_PATH, 'utf-8');
const models = readme.match(/<!-- MODELS_START -->\n([\s\S]+?)\n<!-- MODELS_END -->/)[1].trim().split('\n');
const percentage = parseInt(readme.match(/RUN_PERCENTAGE:\s*(\d+)/)?.[1] ?? '100', 10);
const sharedPrompt = readme.match(/SHARED_PROMPT:\s*"([\s\S]+?)"/)?.[1] ?? '';
const allTestDirs = (await fs.readdir(TESTS_DIR, { withFileTypes: true }))
.filter(d => d.isDirectory()).map(d => d.name).sort();
await Promise.all(
allTestDirs.map(dir => fs.rm(path.join(TESTS_DIR, dir, 'outputs'), { recursive: true, force: true }))
);
const testsToRun = allTestDirs.slice(0, Math.ceil(allTestDirs.length * (percentage / 100)));
const genData = {};
for (const modelSpec of models) {
const [model, tempStr] = modelSpec.split(' TEMP:');
const temperature = tempStr ? parseFloat(tempStr) : undefined;
genData[modelSpec] = {};
for (const dir of testsToRun) {
const { prompt, functionName } = (await import(pathToFileURL(path.join(TESTS_DIR, dir, 'test.js')))).default;
console.log(`Generating ${dir} for ${modelSpec}...`);
const result = await getLlmCode(
`${sharedPrompt}\n\n${prompt.trim()}`,
model,
functionName,
temperature
);
genData[modelSpec][dir] = result?.duration ?? null;
if (!result) continue;
const outDir = path.join(TESTS_DIR, dir, 'outputs');
await fs.mkdir(outDir, { recursive: true });
const fname = `${modelSpec.replace(/[\/:]/g, '_')}.js`;
await fs.writeFile(path.join(outDir, fname), result.code);
}
}
await fs.writeFile(RESULTS_PATH, JSON.stringify(genData, null, 2));
console.log('Code generation and results.json update complete.');
};
main().catch(console.error);