"""
@author: luojunhui
"""
from applications.textSimilarity import NLPFunction

class NLPServer(object):
    """
    nlp_server
    """
    def __init__(self, params, model, embedding_manager):
        """
        :param params:
        """
        self.data = None
        self.function = None
        self.params = params
        self.nlp = NLPFunction(model=model, embedding_manager=embedding_manager)

    def check_params(self):
        """
        参数校验
        :return:
        """
        try:
            self.data = self.params['data']
            self.function = self.params['function']
            print("参数校验成功")
            return None
        except Exception as e:
            error_info = {
                "error": "params error",
                "detail": str(e)
            }
            print("参数校验失败")
            return error_info

    def schedule_function(self):
        """
        :return:
        """
        match self.function:
            case "similarities":
                return self.nlp.base_string_similarity(text_dict=self.data)
            case "similarities_cross":
                return self.nlp.base_list_similarity(pair_list_dict=self.data)
            case "similarities_cross_max":
                return self.nlp.max_cross_similarity(data=self.data)
            case "similarities_cross_avg":
                return self.nlp.avg_cross_similarity(data=self.data)
            case "similarities_cross_mean":
                return self.nlp.mean_cross_similarity(data=self.data)

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