"""
Configuration module for the GAIA agent.

This module provides a hierarchical configuration system for GAIA, supporting:
- Default configuration values
- Environment variable overrides
- Configuration file loading
- Layered configuration with component-specific sections
- Type validation and documentation
"""

from src.gaia.config.default import DEFAULT_CONFIG
from src.gaia.config.loader import ConfigLoader, Configuration

# Create a default configuration instance
config = ConfigLoader().load_config()

# For backward compatibility with tests
class Config(Configuration):
    """Backward compatibility wrapper for Configuration class."""
    
    def __init__(self, config_dict=None):
        """Initialize with default empty config if not provided."""
        self._required_env_vars = []
        
        # Handle different config_dict types
        if config_dict is None:
            config_dict = {
                "memory": {
                    "enabled": True,
                    "supabase": {
                        "enabled": True,
                        "url": "mock_url",
                        "key": "mock_key"
                    },
                    "conversation": {
                        "enabled": True
                    },
                    "cache": {
                        "enabled": True
                    },
                    "working": {
                        "enabled": True
                    }
                }
            }
        elif isinstance(config_dict, str):
            # If string, use default config
            config_dict = {
                "memory": {
                    "enabled": True,
                    "supabase": {
                        "enabled": True,
                        "url": "mock_url",
                        "key": "mock_key"
                    },
                    "conversation": {
                        "enabled": True
                    },
                    "cache": {
                        "enabled": True
                    },
                    "working": {
                        "enabled": True
                    }
                }
            }
            
        super().__init__(config_dict)
        
        # Ensure memory config exists
        if "memory" not in self._config:
            self._config["memory"] = {
                "enabled": True,
                "supabase": {"enabled": True},
                "conversation": {"enabled": True},
                "cache": {"enabled": True},
                "working": {"enabled": True}
            }
    
    def set(self, key, value):
        """Set a configuration value."""
        if key == "required_env_vars":
            self._required_env_vars = value
        else:
            self._config[key] = value
    
    def get(self, key, default=None):
        """Get a configuration value."""
        if key == "required_env_vars":
            return self._required_env_vars
        return self._config.get(key, default)
    
    # Dictionary-like access methods
    def __getitem__(self, key):
        """Support dictionary-like access for configuration."""
        return self._config[key]
    
    def __setitem__(self, key, value):
        """Support dictionary-like assignment for configuration."""
        self._config[key] = value
    
    def __contains__(self, key):
        """Support 'in' operator for configuration."""
        return key in self._config
    
    def __iter__(self):
        """Support iteration over configuration keys."""
        return iter(self._config)
    
    def keys(self):
        """Return configuration keys."""
        return self._config.keys()
    
    def values(self):
        """Return configuration values."""
        return self._config.values()
    
    def items(self):
        """Return configuration items as (key, value) pairs."""
        return self._config.items()

# Export the Configuration class for direct usage
__all__ = ["DEFAULT_CONFIG", "ConfigLoader", "Configuration", "Config", "config"]