from .models import IMAGE_GENERATION_MODELS, IMAGE_EDITION_MODELS, VIDEO_GENERATION_MODELS

def pre_download_all_models(include_video=True):
    """
    Pre-download all models to avoid download delay during the first user request
    """
    imagen_dl_error = pre_download_image_models_gen()
    imagedit_dl_error = pre_download_image_models_edit()
    if include_video:
        videogen_dl_error = pre_download_video_models_gen()
    else:
        videogen_dl_error = ["None"]
    print("All models downloaded.")
    print("Models that encountered download error:", "Image Generation:", imagen_dl_error, "Image Edition:", imagedit_dl_error, "Video Generation:", videogen_dl_error)

def pre_download_image_models_gen():
    """
    Pre-download image models to avoid download delay during the first user request
    """
    import imagen_hub
    errored_models = []
    for model_string in IMAGE_GENERATION_MODELS:
        
        model_lib, model_name, model_type = model_string.split("_")
        
        if model_lib == "imagenhub":
            try:
                print("Loading image generation model:", model_name)
                temp_model = imagen_hub.get_model(model_name) # Forcing model to download weight files
                del temp_model
            except Exception as e:
                print(f"Failed to load model {model_name} \n {e}")
                errored_models.append(model_string)
                continue
        else:
            pass
    return errored_models

def pre_download_image_models_edit():
    """
    Pre-download image models to avoid download delay during the first user request
    """
    import imagen_hub
    errored_models = []
    for model_string in IMAGE_EDITION_MODELS:
        
        model_lib, model_name, model_type = model_string.split("_")

        if model_lib == "imagenhub":
            try:
                print("Loading image edition model:", model_name)
                temp_model = imagen_hub.get_model(model_name) # Forcing model to download weight files
                del temp_model
            except Exception as e:
                print(f"Failed to load model {model_name} \n {e}")
                errored_models.append(model_string)
                continue
        else:
            pass
    return errored_models

def pre_download_video_models_gen():
    """
    Pre-download video models to avoid download delay during the first user request
    """
    import videogen_hub
    errored_models = []
    for model_string in VIDEO_GENERATION_MODELS:
        
        model_lib, model_name, model_type = model_string.split("_")

        if model_lib == "videogenhub":
            try:
                print("Loading video generation model:", model_name)
                temp_model = videogen_hub.get_model(model_name) # Forcing model to download weight files
                del temp_model
            except Exception as e:
                print(f"Failed to load model {model_name} \n {e}")
                errored_models.append(model_string)
                continue
        else:
            pass
    return errored_models