config.py

import os
from dataclasses import dataclass

def _env_flag(name: str, default: bool = False) -> bool:
    """Return True if the environment flag is set to a truthy value."""
    value = os.getenv(name)
    if value is None:
        return default
    return value.strip().lower() in {"1", "true", "yes", "on"}

@dataclass
class GreenWiseConfig:
    """Central configuration for GreenWise AI"""
    
    # API Keys (from environment or Hugging Face Secrets)
    GEMINI_API_KEY: str = os.getenv("GEMINI_API_KEY", "")
    WEATHER_API_KEY: str = os.getenv("WEATHER_API_KEY", "")
    
    # LLM Configuration
    MODEL_NAME: str = os.getenv("GEMINI_MODEL_NAME", "gemini-2.5-flash")
    TEMPERATURE: float = 0.7
    MAX_TOKENS: int = 2048
    LLM_MAX_RETRIES: int = int(os.getenv("GEMINI_MAX_RETRIES", "3"))
    RATE_LIMIT_DELAY: float = float(os.getenv("GEMINI_RATE_LIMIT_DELAY", "2.0"))
    
    # Memory Configuration
    MEMORY_BACKEND: str = "sqlite"  # For HF Spaces: sqlite or json
    MEMORY_PATH: str = "./data/memory.db"
    
    # Operational Parameters
    EMISSION_FACTOR_ELECTRICITY: float = 0.475  # kg CO2/kWh (avg grid)
    EMISSION_FACTOR_DIESEL: float = 2.68  # kg CO2/L
    EMISSION_FACTOR_GASOLINE: float = 2.31  # kg CO2/L
    
    # Dashboard Settings
    REFRESH_INTERVAL: int = 300  # seconds
    MAX_RECOMMENDATIONS: int = 10
    
    # Feature Flags
    ENABLE_WEATHER_API: bool = False  # Set to True when API key available
    ENABLE_ROUTE_OPTIMIZATION: bool = True
    ENABLE_AUTO_ACTIONS: bool = False  # Require user approval
    # UI/Deployment
    ENABLE_GRADIO_SHARE: bool = _env_flag("GRADIO_SHARE", default=False)