from lib.models import MODELS_MAP

def read_prompt(file_name):
    with open(file_name, 'r') as file:
        return file.read()

def format_docs(docs):
    return "\n\n".join(doc.page_content for doc in docs)

def retrieve_answer(output):
    # print(f"Output: {output}")
    # return output.content
    return output

def load_LLM(llm_name):
    model_config = MODELS_MAP[llm_name]
    model_class = model_config["class"]
    params = model_config["params"]
    llm = model_class(**params)
    return llm

def load_embeddings(llm_name):
    model_config = MODELS_MAP[llm_name]
    embedding_class = model_config["embedding_class"]
    embedding_params = model_config["embedding_params"]
    embeddings = embedding_class(**embedding_params)
    return embeddings

def get_available_models():
    return list(MODELS_MAP.keys())

def select_model():
    models = get_available_models()
    print("Available Models:")
    for i, model in enumerate(models):
        print(f"{i + 1}. {model}")

    return models[0] #MH - temp, just use openAI
    # while True:
    #     try:
    #         choice = int(input("Select a model by number: ")) - 1
    #         if 0 <= choice < len(models):
    #             return models[choice]
    #         else:
    #             print("Invalid choice. Please select a number from the list.")
    #     except ValueError:
    #         print("Invalid input. Please enter a number.")