learning_ai_invt_trdg/backend/simulate_high_activity.ts

import { supabaseService } from '../src/services/SupabaseService.js';
import logger from '../src/utils/logger.js';
import { v4 as uuidv4 } from 'uuid';

async function setupHighRiskProfile() {
    logger.info('🚀 SETTING UP HIGH-RISK SCALPER PROFILE...');

    // 1. Get or Create Profile
    const profiles = await supabaseService.getActiveProfiles();
    let targetProfile = profiles.find(p => p.name.includes('Scalp') || p.name.includes('High'));

    if (!targetProfile && profiles.length > 0) {
        targetProfile = profiles[0]; // Fallback to first available
    }

    if (!targetProfile) {
        logger.error('❌ No profiles found. Please create one in Dashboard first.');
        return;
    }

    const profileId = targetProfile.id;
    const userId = targetProfile.user_id; // Using internal user_id mapping

    logger.info(`👤 Configuring Profile: [${targetProfile.name}] (${profileId})`);

    // 2. Update Config for HIGH RISK
    // We update Supabase DB directly through the service client (using raw query if needed, or just assume manual config for now)
    // Since SupabaseService doesn't have 'updateProfile', we will just LOG that we are treating it as high risk,
    // AND generate the high-frequency trading data for it.

    // In a real scenario, we'd update table 'trade_profiles' -> allocated_capital = 1000, risk = 5.
    // Let's try to update it if we can access the client.
    // @ts-ignore
    const { error: updateError } = await supabaseService.client
        .from('trade_profiles')
        .update({
            allocated_capital: 1000,
            risk_per_trade_percent: 5, // High Risk!
            symbols: 'BTC/USD,ETH/USD,SOL/USD', // Volatile assets
            strategy_config: {
                riskLimits: { maxOpenTrades: 10, maxDailyLossUsd: 500 },
                execution: { orderType: 'market', allowedSymbols: ['BTC/USD', 'ETH/USD', 'SOL/USD'] },
                rules: [
                    { ruleId: 'MomentumRule', enabled: true },
                    { ruleId: 'VolatilityRule', enabled: true }, // Aggressive
                    { ruleId: 'ScalpRule', enabled: true }
                ]
            }
        })
        .eq('id', profileId);

    if (updateError) {
        logger.error(`❌ Failed to update profile config: ${updateError.message}`);
    } else {
        logger.info(`✅ Profile Updated: Capital=$1000 | Risk=5% | Strategy=Aggressive`);
    }

    // 3. Simulate 24h of Rapid Trades (Backfill)
    logger.info('🎰 Simulating 24h of High-Frequency Trading...');

    const assets = ['BTC/USD', 'ETH/USD', 'SOL/USD'];
    const trades = 12; // 1 trade every 2 hours roughly, but bunched up
    const now = Date.now();

    for (let i = 0; i < trades; i++) {
        // Randomize time within last 24h
        const timeOffset = Math.floor(Math.random() * 24 * 60 * 60 * 1000);
        const timestamp = now - timeOffset;

        const symbol = assets[Math.floor(Math.random() * assets.length)];
        const side = Math.random() > 0.5 ? 'buy' : 'sell'; // Lowercase per fix
        const size = Math.random() * 0.5 + 0.1;
        const entryPrice = symbol.includes('BTC') ? 60000 : (symbol.includes('ETH') ? 3000 : 150);

        // Outcome: 60% Win Rate
        const isWin = Math.random() > 0.4;
        const pnlPercent = isWin ? (Math.random() * 2 + 1) : -(Math.random() * 1.5 + 0.5); // Win 1-3%, Loss 0.5-2%
        const exitPrice = entryPrice * (1 + (side === 'buy' ? pnlPercent / 100 : -pnlPercent / 100));
        const pnl = (exitPrice - entryPrice) * size * (side === 'buy' ? 1 : -1);

        // A. Log Completed Trade to History
        // @ts-ignore
        const { error: histError } = await supabaseService.client
            .from('trade_history')
            .insert([{
                user_id: userId,
                profile_id: profileId,
                symbol: symbol,
                side: side,
                entry_price: entryPrice,
                exit_price: exitPrice,
                size: size,
                pnl: pnl,
                pnl_percent: pnlPercent,
                reason: isWin ? 'Target Hit (Scalp)' : 'Stop Risk',
                timestamp: timestamp
                // No stop_loss/take_profit columns
            }]);

        if (histError) logger.error(`   History Insert Fail: ${histError.message}`);
        else logger.info(`   📝 [${new Date(timestamp).toLocaleTimeString()}] Trade Logged: ${symbol} ${isWin ? '✅ WIN' : '❌ LOSS'} ($${pnl.toFixed(2)})`);

        // B. Log "Order" for this trade (Matched Pair)
        // 1. Entry Order
        // @ts-ignore
        await supabaseService.client.from('orders').insert([{
            user_id: userId,
            profile_id: profileId,
            order_id: uuidv4(),
            symbol: symbol,
            type: 'Market',
            side: side,
            qty: size,
            price: entryPrice,
            status: 'filled',
            timestamp: timestamp - 10000 // 10s before fill
        }]);

        // 2. Exit Order
        // @ts-ignore
        await supabaseService.client.from('orders').insert([{
            user_id: userId,
            profile_id: profileId,
            order_id: uuidv4(),
            symbol: symbol,
            type: 'Market',
            side: side === 'buy' ? 'sell' : 'buy',
            qty: size,
            price: exitPrice,
            status: 'filled',
            timestamp: timestamp
        }]);
    }

    logger.info('===================================================');
    logger.info(`✅ Aggressive Profile Ready. Dashboard updated with ${trades} trades.`);
    logger.info('===================================================');
    process.exit(0);
}

setupHighRiskProfile().catch(console.error);