"""
Trading Configuration Module
Contains all configuration settings for the trading system.
"""

from dataclasses import dataclass
from typing import Dict
import os

# Try to load environment variables if python-dotenv is available
try:
    from dotenv import load_dotenv
    load_dotenv()
except ImportError:
    # python-dotenv not installed, will use os.getenv with defaults
    pass

@dataclass
class AlpacaConfig:
    """Alpaca API configuration"""
    api_key: str = os.getenv('ALPACA_API_KEY', 'PKXR08ET6CSGV5QFS89E')
    secret_key: str = os.getenv('ALPACA_SECRET_KEY', '5ILlNGVM7WfPwJk8kPRlHhQwDO022H19RWBOkwgd')
    base_url: str = 'https://paper-api.alpaca.markets'  # Paper trading URL
    data_url: str = 'https://data.alpaca.markets'

@dataclass
class TradingConfig:
    """Main trading configuration"""
    # Strategy Selection
    strategy_type: str = os.getenv('STRATEGY_TYPE', 'enhanced')  # 'conservative' or 'enhanced'
    
    # Symbol to trade
    symbol: str = os.getenv('SYMBOL', 'ETH/USD')
    
    # Position sizing
    max_position_size: float = float(os.getenv('MAX_POSITION_SIZE', '0.95'))  # Maximum 95% of portfolio
    risk_per_trade: float = float(os.getenv('RISK_PER_TRADE', '0.02'))       # Risk 2% per trade
    
    # Trading parameters
    trade_cost: float = 0.0005       # 0.05% trading cost
    cooldown_hours: int = 24         # Hours between signals
    
    # Risk management
    max_drawdown_limit: float = float(os.getenv('MAX_DRAWDOWN_LIMIT', '0.15'))  # Stop trading if 15% drawdown
    daily_loss_limit: float = float(os.getenv('DAILY_LOSS_LIMIT', '0.05'))      # Stop trading if 5% daily loss
    
    # Timeframe
    timeframe: str = 'Hour'          # Trading timeframe
    
    # Strategy parameters
    ema_fast: int = 12
    ema_slow: int = 30
    ema_trend: int = 80
    rsi_period: int = 14
    macd_fast: int = 12
    macd_slow: int = 26
    macd_signal: int = 9

@dataclass
class StrategyConfig:
    """Strategy-specific configuration"""
    # Entry conditions
    min_trend_threshold: float = 1.02  # Must be 2% above major trend
    min_momentum_threshold: float = 0.02  # 2% momentum required
    rsi_oversold: float = 45
    rsi_overbought: float = 75
    volume_threshold: float = 0.7
    
    # Exit conditions
    trailing_stops: Dict[float, float] = None
    emergency_stop_days: int = 7
    emergency_stop_loss: float = -0.10
    trend_break_threshold: float = 0.85
    
    def __post_init__(self):
        if self.trailing_stops is None:
            self.trailing_stops = {
                2.00: 0.60,   # 200%+ profit: 40% trailing stop
                1.50: 0.65,   # 150%+ profit: 35% trailing stop
                1.00: 0.70,   # 100%+ profit: 30% trailing stop
                0.75: 0.75,   # 75%+ profit: 25% trailing stop
                0.50: 0.78,   # 50%+ profit: 22% trailing stop
                0.25: 0.80,   # 25%+ profit: 20% trailing stop
                0.10: 0.85,   # 10%+ profit: 15% trailing stop
                0.00: 0.88    # < 10% profit: 12% trailing stop
            }

@dataclass
class LoggingConfig:
    """Logging configuration"""
    log_level: str = 'INFO'
    log_file: str = 'logs/trading.log'
    log_format: str = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
    max_file_size: int = 10 * 1024 * 1024  # 10MB
    backup_count: int = 5

# Global configuration instances
alpaca_config = AlpacaConfig()
trading_config = TradingConfig()
strategy_config = StrategyConfig()
logging_config = LoggingConfig()