#!/usr/bin/env python3
"""
Trading Statistics Demo

Shows sample trading statistics to demonstrate what the bot tracks.
"""

from trading_stats import TradingStats
from datetime import datetime, timedelta
import random

def create_demo_stats():
    """Create demo trading statistics."""
    print("📊 Creating Demo Trading Statistics...\n")
    
    # Create stats instance with demo file
    stats = TradingStats("demo_stats.json")
    
    # Set initial balance
    initial_balance = 1000.0
    stats.set_initial_balance(initial_balance)
    
    # Simulate some trades over 30 days
    current_balance = initial_balance
    base_time = datetime.now() - timedelta(days=30)
    
    print("🎲 Simulating 30 days of trading...")
    
    # Generate sample trades
    symbols = ["BTC/USDC:USDC", "ETH/USDC:USDC"]
    
    for day in range(30):
        date = base_time + timedelta(days=day)
        
        # 70% chance of trading each day
        if random.random() < 0.7:
            # 1-3 trades per day
            num_trades = random.randint(1, 3)
            
            for _ in range(num_trades):
                symbol = random.choice(symbols)
                
                # Simulate buy trade
                if symbol == "BTC/USDC:USDC":
                    price = random.uniform(45000, 55000)
                    amount = random.uniform(0.001, 0.01)
                else:  # ETH
                    price = random.uniform(2800, 3200)
                    amount = random.uniform(0.01, 0.1)
                
                trade_value = amount * price
                
                # Record buy
                stats.data['trades'].append({
                    'timestamp': date.isoformat(),
                    'symbol': symbol,
                    'side': 'buy',
                    'amount': amount,
                    'price': price,
                    'value': trade_value,
                    'order_id': f'demo_{len(stats.data["trades"])}',
                    'type': 'manual',
                    'pnl': 0.0
                })
                
                # Sometimes sell (60% chance)
                if random.random() < 0.6:
                    # Sell at slightly different price
                    sell_price = price * random.uniform(0.98, 1.05)  # -2% to +5%
                    pnl = amount * (sell_price - price)
                    current_balance += pnl
                    
                    sell_date = date + timedelta(hours=random.randint(1, 12))
                    
                    stats.data['trades'].append({
                        'timestamp': sell_date.isoformat(),
                        'symbol': symbol,
                        'side': 'sell',
                        'amount': amount,
                        'price': sell_price,
                        'value': amount * sell_price,
                        'order_id': f'demo_{len(stats.data["trades"])}',
                        'type': 'manual',
                        'pnl': pnl
                    })
        
        # Record daily balance
        daily_variance = random.uniform(-20, 30)  # Daily balance change
        current_balance += daily_variance
        
        stats.data['daily_balances'].append({
            'date': date.date().isoformat(),
            'balance': current_balance,
            'timestamp': date.isoformat()
        })
    
    # Save the demo data
    stats._save_stats()
    
    return stats, current_balance

def main():
    """Main demo function."""
    print("🎮 Trading Statistics Demo\n")
    print("This shows what your bot will track when you start trading manually.\n")
    
    # Create demo data
    stats, current_balance = create_demo_stats()
    
    # Display statistics
    print("📈 Sample Trading Statistics:\n")
    stats_message = stats.format_stats_message(current_balance)
    
    # Convert HTML to plain text for terminal display
    plain_message = stats_message.replace('<b>', '').replace('</b>', '')
    plain_message = plain_message.replace('<i>', '').replace('</i>', '')
    
    print(plain_message)
    
    print("\n" + "="*60)
    print("🎯 What This Means:")
    print("✅ Your bot will track ALL these metrics automatically")
    print("📱 View anytime on your phone with /stats command")
    print("💾 Statistics persist between bot restarts")
    print("🔄 Every manual trade updates your performance metrics")
    print("📊 Professional-grade analytics from day one")
    print("="*60)
    
    print(f"\n📁 Demo data saved to: demo_stats.json")
    print("🗑️  You can delete this file - it's just for demonstration")

if __name__ == "__main__":
    main()