"""
Configuration settings for the application
"""
import os
from pydantic_settings import BaseSettings

class Settings(BaseSettings):
    """Application settings"""
    
    # Firebase settings
    ENABLE_APP_CHECK: bool = os.getenv("ENABLE_APP_CHECK", "true").lower() == "true"
    FIREBASE_CREDENTIALS_PATH: str = os.getenv(
        "FIREBASE_CREDENTIALS_PATH",
        "/data/firebase-adminsdk.json"
    )
    FIREBASE_API_KEY: str = os.getenv("FIREBASE_API_KEY", "")
    
    # API settings
    BASE_URL: str = os.getenv("BASE_URL", "http://localhost:8000")
    
    # Model / inference settings
    # Note: MODEL_ID must point to a FastAI model (.pkl file), not PyTorch (.pt file)
    # To find FastAI-compatible colorization models, search Hugging Face for models with .pkl files
    # Example: Look for models tagged with "fastai" and "colorization"
    MODEL_ID: str = os.getenv("MODEL_ID", "Hammad712/GAN-Colorization-Model")
    MODEL_BACKEND: str = os.getenv("MODEL_BACKEND", "fastai")
    BASE_MODEL_ID: str = os.getenv("BASE_MODEL_ID", "stabilityai/stable-diffusion-xl-base-1.0")
    LIGHTNING_REPO: str = os.getenv("LIGHTNING_REPO", "ByteDance/SDXL-Lightning")
    LIGHTNING_WEIGHTS: str = os.getenv("LIGHTNING_WEIGHTS", "sdxl_lightning_8step_unet.safetensors")
    CAPTION_MODEL_ID: str = os.getenv("CAPTION_MODEL_ID", "Salesforce/blip-image-captioning-base")
    NUM_INFERENCE_STEPS: int = int(os.getenv("NUM_INFERENCE_STEPS", "20"))
    POSITIVE_PROMPT: str = os.getenv(
        "POSITIVE_PROMPT",
        "high quality color photo, vibrant natural colors, detailed lighting"
    )
    NEGATIVE_PROMPT: str = os.getenv(
        "NEGATIVE_PROMPT",
        "low quality, monochrome, black and white, desaturated, blurry, grainy"
    )
    GUIDANCE_SCALE: float = float(os.getenv("GUIDANCE_SCALE", "1.0"))
    CONTROLNET_SCALE: float = float(os.getenv("CONTROLNET_SCALE", "1.0"))
    CAPTION_PREFIX: str = os.getenv("CAPTION_PREFIX", "a photography of")
    COLORIZE_SEED: int = int(os.getenv("COLORIZE_SEED", "123"))
    FASTAI_OUTPUT_CAPTION: str = os.getenv(
        "FASTAI_OUTPUT_CAPTION",
        "Colorized using GAN-Colorization-Model"
    )
    INFERENCE_PROVIDER: str = os.getenv("INFERENCE_PROVIDER", "fal-ai")
    INFERENCE_MODEL: str = os.getenv("INFERENCE_MODEL", "black-forest-labs/FLUX.1-Kontext-dev")
    INFERENCE_TIMEOUT: int = int(os.getenv("INFERENCE_TIMEOUT", "180"))
    HF_TOKEN: str = os.getenv("HF_TOKEN", "")
    
    # Storage settings
    UPLOAD_DIR: str = os.getenv("UPLOAD_DIR", "uploads")
    RESULT_DIR: str = os.getenv("RESULT_DIR", "results")
    
    # MongoDB settings
    # MONGODB_URI should be set in Hugging Face Space secrets
    MONGODB_URI: str = os.getenv("MONGODB_URI", "")
    MONGODB_DB_NAME: str = os.getenv("MONGODB_DB_NAME", "colorization_db")
    MONGODB_ADMIN: str = os.getenv("MONGODB_ADMIN", "") 
    MONGODB_ADMIN_DB_NAME: str = os.getenv("MONGODB_ADMIN_DB_NAME", "adminPanel") 
    DEFAULT_CATEGORY_COLORIZATION: str = os.getenv("DEFAULT_CATEGORY_COLORIZATION", "") 
    DEFAULT_CATEGORY_FALLBACK: str = os.getenv("DEFAULT_CATEGORY_FALLBACK", "69368fcd2e46bd68ae1889b2") 
    
    class Config:
        env_file = ".env"
        case_sensitive = False

settings = Settings()