LJTSG/gemma-webgpu-thinking-engine
024
1const http = require('http'), fs = require('fs'), path = require('path');2const fetch = globalThis.fetch || require('node-fetch'); // Node 18+ has built-in fetch3const PORT = 8150;4const ROOT = __dirname;5const SPLITS = path.join(ROOT, 'model_splits');6 7const MIME = {8 '.html': 'text/html', '.js': 'text/javascript', '.mjs': 'text/javascript',9 '.json': 'application/json', '.gguf': 'application/octet-stream',10 '.wasm': 'application/wasm', '.ts': 'text/javascript',11};12 13const ENTITY_DIR = path.join(ROOT, '..', 'entity');14 15async function extractKeywords(text) {16 // Try local xLAM at :8093 for intent-based keyword extraction17 try {18 const resp = await fetch('http://127.0.0.1:8093/v1/chat/completions', {19 method: 'POST',20 headers: { 'Content-Type': 'application/json' },21 body: JSON.stringify({22 model: 'xlam',23 messages: [{ role: 'user', content: `Extract 3-5 keyword phrases (1-3 words each) from this message that capture the user's intent. Return JSON: {"keywords":["k1","k2","k3"]}\n\nMessage: "${text}"` }],24 temperature: 0.1,25 max_tokens: 60,26 }),27 });28 if (resp.ok) {29 const data = await resp.json();30 const content = data.choices?.[0]?.message?.content || '';31 const match = content.match(/\{[\s\S]*"keywords"[\s\S]*\}/);32 if (match) {33 const parsed = JSON.parse(match[0]);34 if (Array.isArray(parsed.keywords)) return parsed.keywords.map(k => k.toLowerCase());35 }36 }37 } catch (e) { /* xLAM not available, fall back */ }38 // Fallback: extract names and nouns (4+ chars, skip common words)39 const stop = new Set(['what','that','this','with','from','have','your','been','does','were','they','their','about','would','could','should','there','where','which','these','those','before','after','other','being','still','never','always','remember']);40 return (text.toLowerCase().match(/[a-z]{4,}/g) || []).filter(w => !stop.has(w)).slice(0, 5);41}42 43function grepEntity(text, keywords) {44 const unique = [...new Set(keywords)];45 if (unique.length === 0) return [];46 47 const results = [];48 function scanDir(dir) {49 try {50 const entries = fs.readdirSync(dir, { withFileTypes: true });51 for (const e of entries) {52 const fp = path.join(dir, e.name);53 if (e.isDirectory()) { scanDir(fp); continue; }54 if (!/\.(md|json|txt)$/.test(e.name)) continue;55 try {56 const content = fs.readFileSync(fp, 'utf8');57 const lines = content.split('\n');58 for (let i = 0; i < lines.length; i++) {59 const line = lines[i].trim();60 if (line.length < 10 || line.length > 300) continue;61 const lower = line.toLowerCase();62 for (const kw of unique) {63 if (lower.includes(kw)) {64 results.push(line);65 break;66 }67 }68 }69 } catch (e) {}70 }71 } catch (e) {}72 }73 scanDir(ENTITY_DIR);74 return [...new Set(results)].slice(0, 6);75}76 77http.createServer((req, res) => {78 // Handle grep API79 if (req.method === 'POST' && req.url === '/api/grep') {80 let body = '';81 req.on('data', c => body += c);82 req.on('end', async () => {83 try {84 const { text } = JSON.parse(body);85 const keywords = await extractKeywords(text);86 console.log('[grep] keywords:', keywords);87 const results = grepEntity(text, keywords);88 console.log('[grep] found:', results.length, 'snippets');89 res.writeHead(200, { 'Content-Type': 'application/json', 'Access-Control-Allow-Origin': '*' });90 res.end(JSON.stringify({ results, keywords }));91 } catch (e) {92 res.writeHead(500, { 'Content-Type': 'application/json' });93 res.end(JSON.stringify({ error: e.message }));94 }95 });96 return;97 }98 99 if (req.method === 'OPTIONS') {100 res.writeHead(200, {101 'Access-Control-Allow-Origin': '*',102 'Access-Control-Allow-Methods': 'GET,HEAD',103 'Access-Control-Allow-Headers': 'Content-Type,Range',104 'Cross-Origin-Embedder-Policy': 'require-corp',105 'Cross-Origin-Opener-Policy': 'same-origin',106 });107 return res.end();108 }109 110 let p = decodeURIComponent(req.url.split('?')[0]);111 if (p === '/') p = '/index.html';112 113 let fp;114 if (p.startsWith('/model/')) {115 fp = path.join(SPLITS, p.slice('/model/'.length));116 } else {117 // Resolve relative to project root, allowing ../mamba_webgpu/ paths118 fp = path.resolve(ROOT, '.' + p);119 }120 121 fs.stat(fp, (e, st) => {122 if (e) { res.writeHead(404); return res.end('not found: ' + fp); }123 const total = st.size;124 const range = req.headers.range;125 const ct = MIME[path.extname(fp)] || 'application/octet-stream';126 127 const headers = {128 'Content-Type': ct,129 'Accept-Ranges': 'bytes',130 'Access-Control-Allow-Origin': '*',131 'Cross-Origin-Embedder-Policy': 'require-corp',132 'Cross-Origin-Opener-Policy': 'same-origin',133 };134 135 if (range) {136 const m = range.match(/bytes=(\d+)-(\d*)/);137 if (m) {138 const start = parseInt(m[1]);139 const end = m[2] ? parseInt(m[2]) : total - 1;140 headers['Content-Range'] = 'bytes ' + start + '-' + end + '/' + total;141 headers['Content-Length'] = end - start + 1;142 res.writeHead(206, headers);143 fs.createReadStream(fp, { start, end }).pipe(res);144 return;145 }146 }147 148 headers['Content-Length'] = total;149 res.writeHead(200, headers);150 fs.createReadStream(fp).pipe(res);151 });152}).listen(PORT, () => {153 console.log('Gemma WebGPU on :' + PORT);154 console.log('Model splits: ' + SPLITS);155 const files = fs.readdirSync(SPLITS).filter(f => f.endsWith('.gguf'));156 console.log('Split files: ' + files.length);157 console.log('CORS + COEP/COOP headers enabled for wllama multi-threading');158});159 