"""
@author: luojunhui
"""
from typing import List
from pydantic import BaseModel
from similarities import BertSimilarity
import numpy as np
import torch
import logging


class NLPServer(object):
    """
    nlp_server
    """
    def __init__(self, params):
        """
        :param params:
        """
        self.model = None
        self.function = None
        self.text_02 = None
        self.text_01 = None
        self.params = params

    def check_params(self):
        """
        参数校验
        :return:
        """
        try:
            self.text_01 = self.params['text_01']
            self.text_02 = self.params['text_02']
            self.function = self.params['function']
            self.model = self.params['model']
            return None
        except Exception as e:
            error_info = {
                "error": "params error",
                "detail": str(e)
            }
            return error_info

    def choose_function(self):
        """
        :return:
        """
        match self.function:
            case "similarities":
                return
            case "similarities_cross":
                return
            case "similarities_cross_max":
                return
            case "similarities_cross_avg":
                return
            case "similarities_cross_mean":
                return

    def base_similarity(self):
        """
        base similarity
        :return:
        """
        try:

            res = {
                'score_list': []
            }
            return res
        except Exception as e:
            return {"error": str(e)}

    def deal(self):
        """
        deal function
        :return:
        """
        return self.check_params if self.check_params else self.choose_function