#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Time    : 2024/9/11 09:57
@Author  : cao
@File    : utils.py
@Desc    : 
"""
import logging
import json
import faiss
import os
from sentence_transformers import SentenceTransformer
import build_index
import torch

logger = logging.getLogger(__name__)

INDEX_FILE = "./conf/index"
CATE_FILE = "./conf/cate.cf"
#RAW_DATA = "AI+人话术模板部分7.1.xlsx"
RAW_DATA = "question.xlsx"
DIRTY_DATA = "./conf/dirty"
STOP_WORDS ="./conf/stopword"
MODEL_DIR ="/home/model-server/m3e"

def load_model(model_dir=MODEL_DIR):
    return SentenceTransformer(model_name_or_path=model_dir, device='cuda' if torch.cuda.is_available() else 'cpu')

def load_cate(file=CATE_FILE):
    with open(file) as f:
        return json.loads(f.readline())

def load_index(index_path=INDEX_FILE):
    if not os.path.exists(index_path):
        logger.info("faiss does not exists, need build index")
        build_index.index()
    if os.path.exists(index_path):
        index = faiss.read_index(index_path)
        nums = index.ntotal
        logger.info(f"load faiss {nums}  sucess")
        return index

index = load_index()
cate = load_cate()



if __name__ == "__main__":
    cate= load_cate("./conf/cate.cf")
    index = load_index()