"""
Base strategy class for DeltaFQ.
"""

import pandas as pd
from abc import ABC, abstractmethod
from typing import Dict, Any, Optional
from ..core.base import BaseComponent
from ..core.exceptions import StrategyError


class BaseStrategy(BaseComponent):
    """Base class for all trading strategies."""
    
    def __init__(self, name: str = None, **kwargs):
        """Initialize base strategy."""
        super().__init__(name=name, **kwargs)
        self.signals = pd.DataFrame()
        self.positions = pd.DataFrame()
    
    def initialize(self) -> bool:
        """Initialize the strategy."""
        self.logger.info(f"Initializing strategy: {self.name}")
        return True
    
    @abstractmethod
    def generate_signals(self, data: pd.DataFrame) -> pd.DataFrame:
        """Generate trading signals from market data."""
        pass
    
    def run(self, data: pd.DataFrame) -> Dict[str, Any]:
        """Run the strategy on given data."""
        try:
            self.logger.info(f"Running strategy: {self.name}")
            signals = self.generate_signals(data)
            return {
                "strategy_name": self.name,
                "signals": signals,
                "performance": self._calculate_performance(signals, data)
            }
        except Exception as e:
            raise StrategyError(f"Strategy execution failed: {str(e)}")
    
    def _calculate_performance(self, signals: pd.DataFrame, data: pd.DataFrame) -> Dict[str, float]:
        """Calculate basic performance metrics."""
        # Placeholder implementation
        return {
            "total_return": 0.0,
            "sharpe_ratio": 0.0,
            "max_drawdown": 0.0
        }

