File size: 1,425 Bytes
dbe34a1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | import http from 'node:http';
import fs from 'node:fs/promises';
import path from 'node:path';
import { fileURLToPath } from 'node:url';
import { estimateFit } from '../src/core.mjs';
const __dirname = path.dirname(fileURLToPath(import.meta.url));
const webRoot = path.resolve(__dirname, '../web');
const port = Number(process.env.PORT || 4173);
const server = http.createServer(async (req, res) => {
if (!req.url) return res.end();
if (req.url.startsWith('/api/fit')) {
const u = new URL(req.url, `http://localhost:${port}`);
const profile = {
ramGB: Number(u.searchParams.get('ram') || 16),
vramGB: Number(u.searchParams.get('vram') || 8),
cpuTier: String(u.searchParams.get('cpu') || 'mid'),
platform: String(u.searchParams.get('platform') || 'apple-silicon'),
};
const data = estimateFit(profile);
res.setHeader('Content-Type', 'application/json');
return res.end(JSON.stringify({ profile, data }));
}
const filePath = req.url === '/' ? path.join(webRoot, 'index.html') : path.join(webRoot, req.url);
try {
const content = await fs.readFile(filePath);
const type = filePath.endsWith('.js') ? 'text/javascript' : 'text/html';
res.setHeader('Content-Type', type);
res.end(content);
} catch {
res.statusCode = 404;
res.end('Not found');
}
});
server.listen(port, () => {
console.log(`llm-fit web on http://localhost:${port}`);
});
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