import os
import json
from typing import List, Dict, Any, Union
import pandas as pd

def save_market_data(data: List[List[Union[int, float]]], file_path: str) -> bool:
    """
    Save market data to a JSON file
    
    Args:
        data: List of OHLCV candles
        file_path: Path to save the data
    
    Returns:
        bool: True if saved successfully
    """
    try:
        # Create directory if it doesn't exist
        os.makedirs(os.path.dirname(file_path), exist_ok=True)
        
        with open(file_path, 'w') as f:
            json.dump(data, f)
        
        return True
    except Exception as e:
        print(f"Error saving market data: {str(e)}")
        return False

def load_market_data(file_path: str) -> List[List[Union[int, float]]]:
    """
    Load market data from a JSON file
    
    Args:
        file_path: Path to the data file
    
    Returns:
        List of OHLCV candles
    """
    try:
        with open(file_path, 'r') as f:
            data = json.load(f)
        
        return data
    except Exception as e:
        print(f"Error loading market data: {str(e)}")
        return []

def get_available_data(directory: str) -> List[Dict[str, Any]]:
    """
    Get list of available data files
    
    Args:
        directory: Directory to scan
    
    Returns:
        List of data file information
    """
    result = []
    
    try:
        # Create directory if it doesn't exist
        os.makedirs(directory, exist_ok=True)
        
        # List files in directory
        files = os.listdir(directory)
        
        for file in files:
            if file.endswith('.json'):
                # Parse file name to extract information
                parts = file.replace('.json', '').split('_')
                
                if len(parts) >= 3:
                    exchange_id = parts[0]
                    
                    # Reconstruct symbol (may contain underscores)
                    timeframe_index = None
                    for i, part in enumerate(parts[2:], start=2):
                        if part in ['1m', '5m', '15m', '30m', '1h', '4h', '1d', '1w', '1M']:
                            timeframe_index = i
                            break
                    
                    if timeframe_index is not None:
                        symbol_parts = parts[1:timeframe_index]
                        symbol = '/'.join(symbol_parts) if len(symbol_parts) > 1 else symbol_parts[0]
                        timeframe = parts[timeframe_index]
                        
                        # Get file stats
                        file_path = os.path.join(directory, file)
                        file_size = os.path.getsize(file_path)
                        modified_time = os.path.getmtime(file_path)
                        
                        # Get candle count
                        try:
                            data = load_market_data(file_path)
                            candle_count = len(data)
                        except:
                            candle_count = 0
                        
                        result.append({
                            'exchange': exchange_id,
                            'symbol': symbol,
                            'timeframe': timeframe,
                            'filename': file,
                            'size_kb': round(file_size / 1024, 2),
                            'modified': modified_time,
                            'candle_count': candle_count
                        })
        
        return result
    except Exception as e:
        print(f"Error getting available data: {str(e)}")
        return []