"""
Cryptocurrency Data Fetching Module

This module provides functionality for fetching and processing cryptocurrency market data
from various sources for use in quantum financial analysis.
"""

# Import necessary libraries
import logging
from typing import Dict, List, Optional, Any, Union
from datetime import datetime, timedelta

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

class CryptoDataFetcher:
    """
    Fetches cryptocurrency data from various sources.
    
    This is a placeholder implementation to resolve import errors.
    This class would typically handle fetching cryptocurrency data from
    APIs like CoinCap, CoinGecko, or other crypto data providers.
    """
    
    def __init__(self, api_key: Optional[str] = None, cache_dir: str = "./data_cache"):
        """
        Initialize the cryptocurrency data fetcher.
        
        Args:
            api_key: Optional API key for data services
            cache_dir: Directory to cache downloaded data
        """
        self.api_key = api_key
        self.cache_dir = cache_dir
        logger.info("CryptoDataFetcher initialized (placeholder implementation)")
    
    def fetch_historical_prices(self, 
                              symbol: str, 
                              start_date: Optional[datetime] = None,
                              end_date: Optional[datetime] = None,
                              interval: str = "1d") -> Dict[str, Any]:
        """
        Fetch historical price data for a cryptocurrency.
        
        Args:
            symbol: Cryptocurrency symbol (e.g., 'BTC')
            start_date: Start date for data (defaults to 30 days ago)
            end_date: End date for data (defaults to now)
            interval: Data interval (e.g., '1d', '1h')
            
        Returns:
            Dictionary with historical price data
        """
        # This is a placeholder implementation
        logger.warning("Using placeholder implementation of fetch_historical_prices")
        
        # Return empty data structure
        return {
            "symbol": symbol,
            "prices": [],
            "timestamps": [],
            "volumes": []
        }
    
    def fetch_market_data(self, symbol: str) -> Dict[str, Any]:
        """
        Fetch current market data for a cryptocurrency.
        
        Args:
            symbol: Cryptocurrency symbol (e.g., 'BTC')
            
        Returns:
            Dictionary with current market data
        """
        # This is a placeholder implementation
        logger.warning("Using placeholder implementation of fetch_market_data")
        
        # Return empty data structure
        return {
            "symbol": symbol,
            "price": 0.0,
            "market_cap": 0.0,
            "volume_24h": 0.0,
            "change_24h": 0.0
        }

# Define exports
__all__ = ['CryptoDataFetcher'] 