Discord Economy Bot with AI Features: Virtual Currency Revolution

AI-Powered Earning Systems:

📝 Message Activity (Smart Detection):
   - Base: 1-5 coins per message
   - AI Bonus: Quality content detection (+50%)
   - Spam Protection: AI prevents abuse

🎮 Mini-Games with AI Difficulty:
   - Trivia: AI generates questions based on server topics
   - Word Games: Difficulty adapts to player skill
   - Reaction Games: Speed adjusts to average response time

⏰ Daily/Weekly Challenges:
   - AI creates personalized challenges
   - Adapts difficulty based on completion rates
   - Seasonal events with thematic rewards

-- User Economy Data
CREATE TABLE user_economy (
    user_id VARCHAR(20) PRIMARY KEY,
    coins BIGINT DEFAULT 0,
    gems INT DEFAULT 0,
    reputation INT DEFAULT 0,
    last_daily DATE,
    total_earned BIGINT DEFAULT 0,
    total_spent BIGINT DEFAULT 0,
    streak_days INT DEFAULT 0
);

-- Market Data for AI Analysis
CREATE TABLE market_data (
    id SERIAL PRIMARY KEY,
    item_id INT,
    price INT,
    quantity_sold INT,
    timestamp TIMESTAMP DEFAULT NOW(),
    demand_score FLOAT,
    ai_adjustment FLOAT
);

-- AI Learning Data
CREATE TABLE user_behavior (
    user_id VARCHAR(20),
    action_type VARCHAR(50),
    action_data JSON,
    timestamp TIMESTAMP DEFAULT NOW(),
    ai_score FLOAT
);

class AIEconomyManager {
    constructor() {
        this.openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
        this.marketData = new Map();
        this.userProfiles = new Map();
    }
    
    async analyzeDemand(itemId) {
        const recentSales = await this.getRecentSales(itemId, 7); // Last 7 days
        const userInteractions = await this.getUserInteractions(itemId);
        
        const prompt = `
        Analyze this item's market data:
        - Recent sales: ${recentSales.length} transactions
        - Average price: ${recentSales.reduce((a,b) => a + b.price, 0) / recentSales.length}
        - User interest level: ${userInteractions.views} views, ${userInteractions.inquiries} inquiries
        
        Recommend a price adjustment factor (0.8-1.2 range):
        - 0.8 = 20% price decrease (low demand)
        - 1.0 = no change (stable demand)  
        - 1.2 = 20% price increase (high demand)
        
        Respond with only the factor number.
        `;
        
        const completion = await this.openai.chat.completions.create({
            model: 'gpt-4',
            messages: [{ role: 'user', content: prompt }],
            temperature: 0.1,
            max_tokens: 10
        });
        
        return parseFloat(completion.choices[0].message.content.trim());
    }
    
    async generatePersonalizedOffer(userId) {
        const userBehavior = await this.getUserBehavior(userId);
        const preferences = this.analyzePreferences(userBehavior);
        
        const prompt = `
        User Profile:
        - Favorite categories: ${preferences.categories.join(', ')}
        - Spending pattern: ${preferences.spendingLevel}
        - Activity level: ${preferences.activityLevel}
        - Last purchase: ${preferences.lastPurchase}
        
        Generate a personalized shop offer that would appeal to this user.
        Include item type, discount percentage, and compelling reason.
        
        Format: {item_type}|{discount}|{reason}
        `;
        
        const completion = await this.openai.chat.completions.create({
            model: 'gpt-4',
            messages: [{ role: 'user', content: prompt }],
            temperature: 0.7,
            max_tokens: 100
        });
        
        return this.parsePersonalizedOffer(completion.choices[0].message.content);
    }
}

class IntelligentRewards {
    async calculateActivityReward(userId, action, context) {
        const userHistory = await this.getUserActivity(userId);
        const serverMetrics = await this.getServerMetrics();
        
        // AI determines reward based on multiple factors
        const baseReward = this.getBaseReward(action);
        const qualityMultiplier = await this.assessContentQuality(context);
        const scarcityBonus = this.calculateScarcityBonus(action, serverMetrics);
        const personalBonus = this.getPersonalMultiplier(userHistory);
        
        const finalReward = Math.floor(
            baseReward * qualityMultiplier * scarcityBonus * personalBonus
        );
        
        return {
            amount: finalReward,
            breakdown: {
                base: baseReward,
                quality: qualityMultiplier,
                scarcity: scarcityBonus,
                personal: personalBonus
            }
        };
    }
    
    async assessContentQuality(content) {
        if (!content || content.length < 10) return 0.5;
        
        const prompt = `
        Rate the quality and value of this Discord message on a scale of 0.5-2.0:
        - 0.5: Spam, low effort, or harmful
        - 1.0: Normal conversation
        - 1.5: Helpful, engaging, or informative  
        - 2.0: Exceptional contribution to community
        
        Message: "${content}"
        
        Respond with only the numeric rating.
        `;
        
        try {
            const completion = await this.openai.chat.completions.create({
                model: 'gpt-3.5-turbo',
                messages: [{ role: 'user', content: prompt }],
                temperature: 0.1,
                max_tokens: 5
            });
            
            return parseFloat(completion.choices[0].message.content.trim()) || 1.0;
        } catch (error) {
            return 1.0; // Default multiplier if AI fails
        }
    }
}

AI Insights Dashboard:

📊 User Segmentation:
   - Savers vs. Spenders
   - Gamblers vs. Conservatives  
   - Active vs. Passive earners
   - Social vs. Solo players

📈 Predictive Modeling:
   - Churn risk assessment
   - Spending pattern predictions
   - Optimal reward timing
   - Feature adoption likelihood

🎯 Personalization Engine:
   - Custom shop recommendations
   - Tailored daily challenges
   - Personalized achievement goals
   - Individual progress tracking

// AI-Powered Stock Market Simulation
class VirtualStockMarket {
    async generateMarketMovements() {
        // AI creates realistic market scenarios
        const scenarios = [
            "tech_boom", "market_crash", "stable_growth", 
            "crypto_surge", "recession", "bull_market"
        ];
        
        const currentScenario = await this.aiSelectScenario();
        const stockMovements = await this.calculateMovements(currentScenario);
        
        return stockMovements;
    }
    
    async createInvestmentAdvice(userId, portfolio) {
        const marketTrends = await this.getMarketTrends();
        const userRiskProfile = await this.assessRiskProfile(userId);
        
        const advice = await this.openai.chat.completions.create({
            model: 'gpt-4',
            messages: [{
                role: 'system',
                content: 'You are a financial advisor for a Discord server virtual economy. Provide investment advice based on user portfolio and market conditions.'
            }, {
                role: 'user',
                content: `Portfolio: ${JSON.stringify(portfolio)}, Market: ${JSON.stringify(marketTrends)}, Risk Profile: ${userRiskProfile}`
            }],
            max_tokens: 200
        });
        
        return advice.choices[0].message.content;
    }
}

Real Crypto Rewards (Optional):

🔗 Supported Networks:
   - Polygon (MATIC) - Low fees
   - Binance Smart Chain - Popular
   - Avalanche - Fast transactions
   - Solana - High throughput

💰 Reward Structure:
   - Major achievements: 0.01-0.1 tokens
   - Monthly top performers: 1-10 tokens
   - Special events: Limited NFT rewards
   - Community goals: Shared token pools

⚠️ Legal Compliance:
   - Age verification required
   - KYC for large amounts
   - Tax reporting assistance
   - Regional restrictions respected

class EconomySecurityAI {
    async detectSuspiciousActivity(userId, transactions) {
        const patterns = this.analyzePatterns(transactions);
        
        const riskFactors = {
            rapidTransactions: patterns.frequency > 100, // per hour
            unusualAmounts: patterns.hasOutliers,
            newAccount: patterns.accountAge < 7, // days
            multipleDevices: patterns.deviceCount > 3,
            suspiciousTiming: patterns.offHourActivity > 80 // %
        };
        
        const riskScore = await this.calculateRiskScore(riskFactors);
        
        if (riskScore > 0.8) {
            await this.flagForReview(userId, riskFactors);
            await this.temporaryRestrictions(userId);
        }
        
        return { riskScore, riskFactors };
    }
    
    async validateTransaction(fromUser, toUser, amount) {
        const checks = [
            this.checkDailyLimits(fromUser, amount),
            this.verifyAccountStanding(fromUser),
            this.detectCircularTransactions(fromUser, toUser),
            this.validateBusinessLogic(amount)
        ];
        
        return Promise.all(checks);
    }
}