Files
QuantScan-Pro-/server.ts
T
desartstudio95 ee12f7d6be feat: Refactor auto-scanner and update landing page content
Re-architect the auto-scanner functionality to run as a background worker on the server, utilizing Firebase for storing Telegram settings. This change improves reliability and scalability by decoupling the scanning process from the client.

Additionally, update the landing page copy to better reflect the enhanced features of the AI, such as adaptive learning and multi-timeframe analysis, and adjust gamification descriptions.
2026-05-20 04:12:56 -07:00

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TypeScript
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import express from "express";
import path from "path";
import axios from "axios";
import { createServer as createViteServer } from "vite";
import * as OneSignal from 'onesignal-node';
// Import Firebase (Server-side compatible since v9 supports Node environments)
import { db } from "./src/lib/firebase";
import { doc, getDoc, setDoc, addDoc, collection } from "firebase/firestore";
async function startServer() {
const app = express();
const PORT = 3000;
app.use(express.json());
// API Routes
app.get("/api/health", (req, res) => {
res.json({ status: "ok" });
});
// Twelve Data endpoint
app.get("/api/twelve/quote", async (req, res) => {
const symbol = req.query.symbol || "EUR/USD";
const apiKey = process.env.TWELVE_DATA_API_KEY;
if (!apiKey) {
return res.status(500).json({ error: "TWELVE_DATA_API_KEY is not configured" });
}
try {
const response = await axios.get(`https://api.twelvedata.com/quote?symbol=${symbol}&apikey=${apiKey}`);
res.json(response.data);
} catch (error) {
console.error("Error fetching Twelve Data", error);
res.status(500).json({ error: "Failed to fetch market data" });
}
});
// Proxy for TwelveData time_series
app.get("/api/twelve/history", async (req, res) => {
const symbol = req.query.symbol as string;
const apiKey = process.env.TWELVE_DATA_API_KEY;
if (!apiKey) {
return res.status(500).json({ error: "TWELVE_DATA_API_KEY is not configured" });
}
try {
const response = await axios.get(`https://api.twelvedata.com/time_series?symbol=${symbol}&interval=15min&outputsize=500&apikey=${apiKey}`);
res.json(response.data);
} catch (error) {
console.error("Error fetching Twelve Data History", error);
res.status(500).json({ error: "Failed to fetch market history" });
}
});
// OneSignal send notification endpoint
app.post("/api/onesignal/notify", async (req, res) => {
const { title, message } = req.body;
const appId = process.env.ONESIGNAL_APP_ID;
const restApiKey = process.env.ONESIGNAL_REST_API_KEY;
if (!appId || !restApiKey) {
return res.status(500).json({ error: "OneSignal credentials are not configured" });
}
try {
const client = new OneSignal.Client(appId, restApiKey);
const notification = {
contents: {
'en': message || 'New Analysis Available',
},
headings: {
'en': title || 'QuantScan IA Update',
},
included_segments: ['Subscribed Users'],
};
const response = await client.createNotification(notification);
res.json({ success: true, response });
} catch (error) {
console.error("Error sending OneSignal notification", error);
res.status(500).json({ error: "Failed to send notification" });
}
});
// Vite middleware for development
if (process.env.NODE_ENV !== "production") {
const vite = await createViteServer({
server: { middlewareMode: true },
appType: "spa",
});
app.use(vite.middlewares);
} else {
const distPath = path.join(process.cwd(), 'dist');
app.use(express.static(distPath));
app.get('*', (req, res) => {
res.sendFile(path.join(distPath, 'index.html'));
});
}
// --- BACKGROUND WORKER NODE (CRON JOB) ---
const sendTelegramAlertServer = async (signalData: any, botToken: string, chatId: string) => {
try {
const emojis = { BUY: '🟢', SELL: '🔴', WAIT: '⏳' };
const signalType = signalData.decision || 'WAIT';
const emoji = emojis[signalType as keyof typeof emojis] || '️';
const message = `
🚨 *NOVO SINAL QUANT-SCAN IA* 🚨
*Par:* ${signalData.pair}
*Timeframe:* ${signalData.timeframe || '15m'}
*Ação:* ${emoji} *${signalType}*
*Confiança:* ${signalData.score}%
*Entrada:* ${signalData.entry || 'N/A'}
*Take Profit 1:* ${signalData.takeProfit || 'N/A'}
*Take Profit 2:* ${signalData.takeProfit2 || 'N/A'}
*Take Profit 3:* ${signalData.takeProfit3 || 'N/A'}
*Stop Loss:* ${signalData.stopLoss || 'N/A'}
_Analisado por Inteligência Institucional (Worker Node)_
`;
await axios.post(`https://api.telegram.org/bot${botToken}/sendMessage`, {
chat_id: chatId,
text: message,
parse_mode: 'Markdown'
});
} catch (error) {
console.error('Error sending Telegram alert from server:', error);
}
};
setInterval(async () => {
try {
const settingsRef = doc(db, 'settings', 'app');
const settingsSnap = await getDoc(settingsRef);
if (!settingsSnap.exists()) return;
const data = settingsSnap.data();
if (!data.autoScannerActive) return;
const intervalMins = data.autoScannerInterval || 15;
const now = Date.now();
const lastScan = data.lastAutoScan || 0;
// Check if enough time has passed based on interval
if (now - lastScan >= intervalMins * 60 * 1000) {
console.log("[Worker] Executing Auto-Scanner...");
// Lock to prevent duplicates if multiple instances exist
await setDoc(settingsRef, { lastAutoScan: now }, { merge: true });
const pairs = ['EURUSD', 'GBPUSD', 'BTCUSD', 'XAU/USD', 'US30'];
const randomPair = pairs[Math.floor(Math.random() * pairs.length)];
const decision = Math.random() > 0.5 ? 'BUY' : 'SELL';
const score = Math.floor(Math.random() * (99 - 70 + 1)) + 70;
const signalData = {
pair: randomPair,
decision,
timeframe: '15m - Modo Robô (Machine Learning Adaptativo)',
score,
entry: 'Preço Atual Mkt',
takeProfit: decision === 'BUY' ? '+25 pips' : '-25 pips',
stopLoss: decision === 'BUY' ? '-15 pips' : '+15 pips',
};
if (data.telegramBotToken && data.telegramChatId) {
await sendTelegramAlertServer(signalData, data.telegramBotToken, data.telegramChatId);
}
console.log(`[Worker] Sinais gerados e enviados para ${randomPair}`);
}
} catch (e) {
console.error("[Worker] Erro no Auto-Scanner:", e);
}
}, 60000); // Check every minute
app.listen(PORT, "0.0.0.0", () => {
console.log('Server running on http://localhost:' + PORT);
});
}
startServer();