from abc import ABC, abstractmethod
from typing import Dict, List, Optional, Union, Any
import pandas as pd
from datetime import datetime
import time
import logging

class BaseAPIClient(ABC):
    """Base class for all API clients."""
    
    def __init__(self, api_key: Optional[str] = None):
        """Initialize base API client.
        
        Args:
            api_key: Optional API key
        """
        self.api_key = api_key
        self.last_request_time = None
        self.rate_limit_delay = 1.0  # Default 1 second between requests
        self.logger = logging.getLogger(self.__class__.__name__)
    
    @abstractmethod
    def get_etf_profile(self, symbol: str) -> Dict:
        """Get ETF profile data.
        
        Args:
            symbol: ETF ticker symbol
            
        Returns:
            Dictionary containing ETF profile information
        """
        pass
    
    @abstractmethod
    def get_etf_holdings(self, symbol: str) -> List[Dict]:
        """Get ETF holdings data.
        
        Args:
            symbol: ETF ticker symbol
            
        Returns:
            List of dictionaries containing holding information
        """
        pass
    
    @abstractmethod
    def get_historical_data(self, symbol: str, period: str = '1y') -> pd.DataFrame:
        """Get historical price data.
        
        Args:
            symbol: ETF ticker symbol
            period: Time period (e.g., '1d', '1w', '1m', '1y')
            
        Returns:
            DataFrame with historical price data
        """
        pass
    
    @abstractmethod
    def get_dividend_history(self, symbol: str) -> pd.DataFrame:
        """Get dividend history.
        
        Args:
            symbol: ETF ticker symbol
            
        Returns:
            DataFrame with dividend history
        """
        pass
    
    @abstractmethod
    def get_sector_weightings(self, symbol: str) -> Dict:
        """Get sector weightings.
        
        Args:
            symbol: ETF ticker symbol
            
        Returns:
            Dictionary with sector weightings
        """
        pass
    
    def _check_rate_limit(self):
        """Check and enforce rate limiting."""
        if self.last_request_time:
            time_since_last = (datetime.now() - self.last_request_time).total_seconds()
            if time_since_last < self.rate_limit_delay:
                time.sleep(self.rate_limit_delay - time_since_last)
        self.last_request_time = datetime.now()
    
    @abstractmethod
    def _validate_symbol(self, symbol: str) -> bool:
        """Validate a symbol.
        
        Args:
            symbol: Symbol to validate
            
        Returns:
            True if valid, False otherwise
        """
        pass
    
    def _handle_error(self, error: Exception) -> Dict:
        """Handle API errors.
        
        Args:
            error: Exception that occurred
            
        Returns:
            Error response dictionary
        """
        self.logger.error(f"API error: {str(error)}")
        return {"error": str(error)}