"""
Technical Indicator Utilities

This module provides utility functions for managing technical indicator
configurations and validation.
"""

from typing import Dict, Any


def create_default_indicators_config() -> Dict[str, Dict[str, Any]]:
    """
    Create default configuration for common technical indicators.
    
    Returns:
        Dictionary with default indicator configurations
    """
    return {
        'sma_20': {'type': 'sma', 'period': 20},
        'sma_50': {'type': 'sma', 'period': 50},
        'ema_12': {'type': 'ema', 'period': 12},
        'ema_26': {'type': 'ema', 'period': 26},
        'rsi_14': {'type': 'rsi', 'period': 14},
        'macd_default': {'type': 'macd'},
        'bollinger_bands_20': {'type': 'bollinger_bands', 'period': 20}
    }


def validate_indicator_config(config: Dict[str, Any]) -> bool:
    """
    Validate technical indicator configuration.
    
    Args:
        config: Indicator configuration dictionary
        
    Returns:
        True if configuration is valid, False otherwise
    """
    required_fields = ['type']
    
    # Check required fields
    for field in required_fields:
        if field not in config:
            return False
    
    # Validate indicator type
    valid_types = ['sma', 'ema', 'rsi', 'macd', 'bollinger_bands']
    if config['type'] not in valid_types:
        return False
    
    # Validate period fields
    if 'period' in config and (not isinstance(config['period'], int) or config['period'] <= 0):
        return False
    
    # Validate standard deviation for Bollinger Bands
    if config['type'] == 'bollinger_bands' and 'std_dev' in config:
        if not isinstance(config['std_dev'], (int, float)) or config['std_dev'] <= 0:
            return False
    
    return True