mirror of
https://github.com/multipleof4/lynchmark.git
synced 2026-01-14 08:37:56 +00:00
89 lines
3.6 KiB
JavaScript
89 lines
3.6 KiB
JavaScript
import { promises as fs } from 'fs';
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import path from 'path';
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import { pathToFileURL } from 'url';
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import axios from 'axios';
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import { performance } from 'perf_hooks';
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const CWD = process.cwd();
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const README_PATH = path.join(CWD, 'README');
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const TESTS_DIR = path.join(CWD, 'tests');
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const RESULTS_PATH = path.join(CWD, 'results.json');
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const getArg = name => { const i = process.argv.indexOf(name); return i > -1 ? process.argv[i + 1] : null; };
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const getLlmCode = async (prompt, model, functionName, temperature) => {
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const start = performance.now();
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try {
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const res = await axios.post(
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'https://openrouter.ai/api/v1/chat/completions',
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{ model, messages: [{ role: 'user', content: prompt }], ...(temperature !== undefined && { temperature }) },
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{ headers: { Authorization: `Bearer ${process.env.OPENROUTER_KEY}` } }
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);
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const duration = (performance.now() - start) / 1000;
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const content = res.data.choices[0].message.content;
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const code = content.match(/```(?:javascript|js)?\n([\s\S]+?)\n```/)?.[1].trim() ?? content.trim();
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const finalCode = `${code.replace(/export\s+default\s+.*$/m, '')}\nexport default ${functionName};`;
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return { code: finalCode, duration };
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} catch (error) {
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console.error(`API Error for ${model}: ${error.message}`);
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return null;
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}
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};
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const main = async () => {
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const readme = await fs.readFile(README_PATH, 'utf-8');
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const allModels = readme.match(/<!-- MODELS_START -->\n([\s\S]+?)\n<!-- MODELS_END -->/)[1].trim().split('\n');
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const percentage = parseInt(readme.match(/RUN_PERCENTAGE:\s*(\d+)/)?.[1] ?? '100', 10);
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const sharedPrompt = readme.match(/SHARED_PROMPT:\s*"([\s\S]+?)"/)?.[1] ?? '';
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const singleModel = getArg('--model');
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if (singleModel && !allModels.includes(singleModel)) {
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throw new Error(`Model "${singleModel}" not found in README.md.`);
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}
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const modelsToRun = singleModel ? [singleModel] : allModels;
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const allTestDirs = (await fs.readdir(TESTS_DIR, { withFileTypes: true }))
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.filter(d => d.isDirectory()).map(d => d.name).sort();
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if (singleModel) {
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const sModel = singleModel.replace(/[\/:]/g, '_');
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await Promise.all(allTestDirs.map(dir =>
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fs.rm(path.join(TESTS_DIR, dir, 'outputs', `${sModel}.js`), { force: true })
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));
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} else {
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await Promise.all(allTestDirs.map(dir =>
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fs.rm(path.join(TESTS_DIR, dir, 'outputs'), { recursive: true, force: true })
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));
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}
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const testsToRun = allTestDirs.slice(0, Math.ceil(allTestDirs.length * (percentage / 100)));
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let genData = {};
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if (singleModel) {
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try { genData = JSON.parse(await fs.readFile(RESULTS_PATH, 'utf-8')); } catch {}
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}
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for (const modelSpec of modelsToRun) {
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const [model, tempStr] = modelSpec.split(' TEMP:');
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const temperature = tempStr ? parseFloat(tempStr) : undefined;
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genData[modelSpec] = {};
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for (const dir of testsToRun) {
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const { prompt, functionName } = (await import(pathToFileURL(path.join(TESTS_DIR, dir, 'test.js')))).default;
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console.log(`Generating ${dir} for ${modelSpec}...`);
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const result = await getLlmCode(`${sharedPrompt}\n\n${prompt.trim()}`, model, functionName, temperature);
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genData[modelSpec][dir] = result?.duration ?? null;
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if (!result) continue;
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const outDir = path.join(TESTS_DIR, dir, 'outputs');
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await fs.mkdir(outDir, { recursive: true });
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const fname = `${modelSpec.replace(/[\/:]/g, '_')}.js`;
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await fs.writeFile(path.join(outDir, fname), result.code);
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}
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}
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await fs.writeFile(RESULTS_PATH, JSON.stringify(genData, null, 2));
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console.log('Code generation and results.json update complete.');
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};
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main().catch(console.error);
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