"""
Configuration for Gradio + MCP Linux administration system.
Simplified for Gradio's built-in MCP support.
"""

import os
from typing import List
from dataclasses import dataclass

@dataclass
class OpenAIConfig:
    """OpenAI API configuration"""
    api_key: str
    model: str = "gpt-4o-mini"
    temperature: float = 0.7
    max_tokens: int = 1000
    
    @classmethod
    def from_env(cls) -> 'OpenAIConfig':
        api_key = os.getenv('OPENAI_API_KEY')
        if not api_key:
            raise ValueError("OPENAI_API_KEY environment variable is required")
        return cls(api_key=api_key)

@dataclass
class SecurityConfig:
    """Security settings for command execution"""
    # Whitelist of safe commands
    safe_commands: List[str] = None
    
    # Maximum command timeout (seconds)
    command_timeout: int = 30
    
    def __post_init__(self):
        if self.safe_commands is None:
            self.safe_commands = [
                "ls", "df", "cat", "ps", "whoami", "pwd", "date", 
                "uptime", "free", "top", "netstat", "ss",
                "tail", "head", "grep", "find", "which"
            ]

@dataclass 
class GradioConfig:
    """Gradio interface configuration"""
    title: str = "Linux MCP Administration"
    description: str = "AI-powered Linux system administration with MCP tools"
    theme: str = "soft"
    share: bool = False
    
    # Chat interface settings
    chatbot_height: int = 600
    textbox_placeholder: str = "Ask me about Linux administration..."

class Config:
    """Main configuration class"""
    
    def __init__(self):
        self.openai = OpenAIConfig.from_env()
        self.security = SecurityConfig()
        self.gradio = GradioConfig()

# Global config instance
config = Config()