langchain-ChatGLM-master/models/base/base.py

from abc import ABC, abstractmethod
from typing import Optional, List
import traceback
from collections import deque
from queue import Queue
from threading import Thread

import torch
import transformers
from models.loader import LoaderCheckPoint


class AnswerResult:
    """
    消息实体
    """
    history: List[List[str]] = []
    llm_output: Optional[dict] = None


class BaseAnswer(ABC):
    """上层业务包装器.用于结果生成统一api调用"""

    @property
    @abstractmethod
    def _check_point(self) -> LoaderCheckPoint:
        """Return _check_point of llm."""

    @property
    @abstractmethod
    def _history_len(self) -> int:
        """Return _history_len of llm."""

    @abstractmethod
    def set_history_len(self, history_len: int) -> None:
        """Return _history_len of llm."""

    def generatorAnswer(self, prompt: str,
                        history: List[List[str]] = [],
                        streaming: bool = False):
        pass