import os

global MODEL_ENGINE

from multipurpose_chatbot.engines import load_multipurpose_chatbot_engine
from multipurpose_chatbot.demos import get_demo_class

from .configs import (
    BACKEND,
    RAG_EMBED_MODEL_NAME,
)

MODEL_ENGINE = load_multipurpose_chatbot_engine(BACKEND)


RAG_CURRENT_FILE, RAG_EMBED, RAG_CURRENT_VECTORSTORE = None, None, None


def load_embeddings():
    global RAG_EMBED
    if RAG_EMBED is None:
        from langchain_community.embeddings import HuggingFaceEmbeddings, HuggingFaceBgeEmbeddings
        print(f'LOading embeddings: {RAG_EMBED_MODEL_NAME}')
        RAG_EMBED = HuggingFaceEmbeddings(model_name=RAG_EMBED_MODEL_NAME, model_kwargs={'trust_remote_code':True, "device": "cpu"})
    else:
        print(f'RAG_EMBED ALREADY EXIST: {RAG_EMBED_MODEL_NAME}: {RAG_EMBED=}')
    return RAG_EMBED


def get_rag_embeddings():
    return load_embeddings()