"""
Exemple Simple - Premier Backtest.

Cet exemple montre comment:
1. Configurer le système
2. Charger une stratégie
3. Lancer un backtest
4. Analyser les résultats
"""

import asyncio
import sys
from pathlib import Path
from datetime import datetime, timedelta

# Ajouter src au path
sys.path.insert(0, str(Path(__file__).parent.parent))

from src.core.risk_manager import RiskManager
from src.core.strategy_engine import StrategyEngine
from src.backtesting.backtest_engine import BacktestEngine
from src.utils.logger import setup_logger


async def main():
    """Fonction principale."""
    
    # 1. Setup logging
    setup_logger(level='INFO')
    
    print("=" * 60)
    print("EXEMPLE SIMPLE - PREMIER BACKTEST")
    print("=" * 60)
    
    # 2. Configuration
    config = {
        'risk_limits': {
            'initial_capital': 10000.0,
            'global_limits': {
                'max_portfolio_risk': 0.05,
                'max_position_size': 0.10,
                'max_drawdown': 0.15,
                'max_daily_loss': 0.03,
                'max_correlation': 0.7,
            },
            'strategy_limits': {
                'intraday': {
                    'risk_per_trade': 0.02,
                    'max_trades_per_day': 20,
                }
            }
        },
        'strategy_params': {
            'intraday_strategy': {
                'name': 'intraday',
                'timeframe': '1h',
                'risk_per_trade': 0.02,
                'max_holding_time': 28800,
                'max_trades_per_day': 20,
                'adaptive_params': {
                    'ema_fast': 9,
                    'ema_slow': 21,
                    'ema_trend': 50,
                    'adx_threshold': 25,
                }
            }
        },
        'backtesting_config': {
            'transaction_costs': {
                'commission_pct': 0.0001,
                'slippage_pct': 0.0005,
                'spread_pct': 0.0002,
            }
        }
    }
    
    # 3. Initialiser Risk Manager
    print("\n📊 Initialisation du Risk Manager...")
    risk_manager = RiskManager()
    risk_manager.initialize(config['risk_limits'])
    
    # 4. Initialiser Strategy Engine
    print("🎯 Initialisation du Strategy Engine...")
    strategy_engine = StrategyEngine(
        config=config['strategy_params'],
        risk_manager=risk_manager
    )
    
    # 5. Charger stratégie Intraday
    print("📈 Chargement de la stratégie Intraday...")
    await strategy_engine.load_strategy('intraday')
    
    # 6. Créer Backtest Engine
    print("🔄 Création du Backtest Engine...")
    backtest_engine = BacktestEngine(
        strategy_engine=strategy_engine,
        config=config
    )
    
    # 7. Lancer backtest
    print("\n🚀 Lancement du backtest...")
    print("Symbole: EURUSD")
    print("Période: 6 mois")
    print("Capital initial: $10,000")
    
    results = await backtest_engine.run(
        symbols=['EURUSD'],
        period='6m',
        initial_capital=10000.0
    )
    
    # 8. Afficher résultats
    if results:
        print("\n" + "=" * 60)
        print("RÉSULTATS DU BACKTEST")
        print("=" * 60)
        
        metrics = results['metrics']
        
        print(f"\n📈 PERFORMANCE")
        print(f"Return Total:      {metrics['total_return']:>10.2%}")
        print(f"Sharpe Ratio:      {metrics['sharpe_ratio']:>10.2f}")
        print(f"Max Drawdown:      {metrics['max_drawdown']:>10.2%}")
        
        print(f"\n💼 TRADING")
        print(f"Total Trades:      {metrics['total_trades']:>10}")
        print(f"Win Rate:          {metrics['win_rate']:>10.2%}")
        print(f"Profit Factor:     {metrics['profit_factor']:>10.2f}")
        
        print("\n" + "=" * 60)
        
        # 9. Validation
        if results['is_valid']:
            print("✅ STRATÉGIE VALIDE pour paper trading!")
            print("\nProchaine étape: Lancer paper trading pendant 30 jours")
        else:
            print("❌ STRATÉGIE NON VALIDE")
            print("\nActions recommandées:")
            print("1. Optimiser les paramètres")
            print("2. Tester sur différentes périodes")
            print("3. Analyser les trades perdants")
    
    else:
        print("\n❌ Backtest échoué - Vérifier les logs")


if __name__ == '__main__':
    asyncio.run(main())