""" =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 第一部分：来自EdgeGPT.py https://github.com/acheong08/EdgeGPT =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- """ from .edge_gpt_free import Chatbot as NewbingChatbot load_message = "等待NewBing响应。" """ =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 第二部分：子进程Worker（调用主体） =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- """ import time import json import re import logging import asyncio import importlib import threading from toolbox import update_ui, get_conf, trimmed_format_exc from multiprocessing import Process, Pipe def preprocess_newbing_out(s): pattern = r"\^(\d+)\^" # 匹配^数字^ sub = lambda m: "(" + m.group(1) + ")" # 将匹配到的数字作为替换值 result = re.sub(pattern, sub, s) # 替换操作 if "[1]" in result: result += ( "\n\n```reference\n" + "\n".join([r for r in result.split("\n") if r.startswith("[")]) + "\n```\n" ) return result def preprocess_newbing_out_simple(result): if "[1]" in result: result += ( "\n\n```reference\n" + "\n".join([r for r in result.split("\n") if r.startswith("[")]) + "\n```\n" ) return result class NewBingHandle(Process): def __init__(self): super().__init__(daemon=True) self.parent, self.child = Pipe() self.newbing_model = None self.info = "" self.success = True self.local_history = [] self.check_dependency() self.start() self.threadLock = threading.Lock() def check_dependency(self): try: self.success = False import certifi, httpx, rich self.info = "依赖检测通过，等待NewBing响应。注意目前不能多人同时调用NewBing接口（有线程锁），否则将导致每个人的NewBing问询历史互相渗透。调用NewBing时，会自动使用已配置的代理。" self.success = True except: self.info = "缺少的依赖，如果要使用Newbing，除了基础的pip依赖以外，您还需要运行`pip install -r request_llms/requirements_newbing.txt`安装Newbing的依赖。" self.success = False def ready(self): return self.newbing_model is not None async def async_run(self): # 读取配置 NEWBING_STYLE = get_conf("NEWBING_STYLE") from request_llms.bridge_all import model_info endpoint = model_info["newbing"]["endpoint"] while True: # 等待 kwargs = self.child.recv() question = kwargs["query"] history = kwargs["history"] system_prompt = kwargs["system_prompt"] # 是否重置 if len(self.local_history) > 0 and len(history) == 0: await self.newbing_model.reset() self.local_history = [] # 开始问问题 prompt = "" if system_prompt not in self.local_history: self.local_history.append(system_prompt) prompt += system_prompt + "\n" # 追加历史 for ab in history: a, b = ab if a not in self.local_history: self.local_history.append(a) prompt += a + "\n" # 问题 prompt += question self.local_history.append(question) print("question:", prompt) # 提交 async for final, response in self.newbing_model.ask_stream( prompt=question, conversation_style=NEWBING_STYLE, # ["creative", "balanced", "precise"] wss_link=endpoint, # "wss://sydney.bing.com/sydney/ChatHub" ): if not final: print(response) self.child.send(str(response)) else: print("-------- receive final ---------") self.child.send("[Finish]") # self.local_history.append(response) def run(self): """ 这个函数运行在子进程 """ # 第一次运行，加载参数 self.success = False self.local_history = [] if (self.newbing_model is None) or (not self.success): # 代理设置 proxies, NEWBING_COOKIES = get_conf("proxies", "NEWBING_COOKIES") if proxies is None: self.proxies_https = None else: self.proxies_https = proxies["https"] if (NEWBING_COOKIES is not None) and len(NEWBING_COOKIES) > 100: try: cookies = json.loads(NEWBING_COOKIES) except: self.success = False tb_str = "\n```\n" + trimmed_format_exc() + "\n```\n" self.child.send(f"[Local Message] NEWBING_COOKIES未填写或有格式错误。") self.child.send("[Fail]") self.child.send("[Finish]") raise RuntimeError(f"NEWBING_COOKIES未填写或有格式错误。") else: cookies = None try: self.newbing_model = NewbingChatbot( proxy=self.proxies_https, cookies=cookies ) except: self.success = False tb_str = "\n```\n" + trimmed_format_exc() + "\n```\n" self.child.send( f"[Local Message] 不能加载Newbing组件，请注意Newbing组件已不再维护。{tb_str}" ) self.child.send("[Fail]") self.child.send("[Finish]") raise RuntimeError(f"不能加载Newbing组件，请注意Newbing组件已不再维护。") self.success = True try: # 进入任务等待状态 asyncio.run(self.async_run()) except Exception: tb_str = "\n```\n" + trimmed_format_exc() + "\n```\n" self.child.send( f"[Local Message] Newbing 请求失败，报错信息如下. 如果是与网络相关的问题，建议更换代理协议（推荐http）或代理节点 {tb_str}." ) self.child.send("[Fail]") self.child.send("[Finish]") def stream_chat(self, **kwargs): """ 这个函数运行在主进程 """ self.threadLock.acquire() # 获取线程锁 self.parent.send(kwargs) # 请求子进程 while True: res = self.parent.recv() # 等待newbing回复的片段 if res == "[Finish]": break # 结束 elif res == "[Fail]": self.success = False break # 失败 else: yield res # newbing回复的片段 self.threadLock.release() # 释放线程锁 """ =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 第三部分：主进程统一调用函数接口 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- """ global newbingfree_handle newbingfree_handle = None def predict_no_ui_long_connection( inputs, llm_kwargs, history=[], sys_prompt="", observe_window=[], console_slience=False, ): """ 多线程方法 函数的说明请见 request_llms/bridge_all.py """ global newbingfree_handle if (newbingfree_handle is None) or (not newbingfree_handle.success): newbingfree_handle = NewBingHandle() if len(observe_window) >= 1: observe_window[0] = load_message + "\n\n" + newbingfree_handle.info if not newbingfree_handle.success: error = newbingfree_handle.info newbingfree_handle = None raise RuntimeError(error) # 没有 sys_prompt 接口，因此把prompt加入 history history_feedin = [] for i in range(len(history) // 2): history_feedin.append([history[2 * i], history[2 * i + 1]]) watch_dog_patience = 5 # 看门狗 (watchdog) 的耐心, 设置5秒即可 response = "" if len(observe_window) >= 1: observe_window[0] = "[Local Message] 等待NewBing响应中 ..." for response in newbingfree_handle.stream_chat( query=inputs, history=history_feedin, system_prompt=sys_prompt, max_length=llm_kwargs["max_length"], top_p=llm_kwargs["top_p"], temperature=llm_kwargs["temperature"], ): if len(observe_window) >= 1: observe_window[0] = preprocess_newbing_out_simple(response) if len(observe_window) >= 2: if (time.time() - observe_window[1]) > watch_dog_patience: raise RuntimeError("程序终止。") return preprocess_newbing_out_simple(response) def predict( inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt="", stream=True, additional_fn=None, ): """ 单线程方法 函数的说明请见 request_llms/bridge_all.py """ chatbot.append((inputs, "[Local Message] 等待NewBing响应中 ...")) global newbingfree_handle if (newbingfree_handle is None) or (not newbingfree_handle.success): newbingfree_handle = NewBingHandle() chatbot[-1] = (inputs, load_message + "\n\n" + newbingfree_handle.info) yield from update_ui(chatbot=chatbot, history=[]) if not newbingfree_handle.success: newbingfree_handle = None return if additional_fn is not None: from core_functional import handle_core_functionality inputs, history = handle_core_functionality( additional_fn, inputs, history, chatbot ) history_feedin = [] for i in range(len(history) // 2): history_feedin.append([history[2 * i], history[2 * i + 1]]) chatbot[-1] = (inputs, "[Local Message] 等待NewBing响应中 ...") response = "[Local Message] 等待NewBing响应中 ..." yield from update_ui( chatbot=chatbot, history=history, msg="NewBing响应缓慢，尚未完成全部响应，请耐心完成后再提交新问题。" ) for response in newbingfree_handle.stream_chat( query=inputs, history=history_feedin, system_prompt=system_prompt, max_length=llm_kwargs["max_length"], top_p=llm_kwargs["top_p"], temperature=llm_kwargs["temperature"], ): chatbot[-1] = (inputs, preprocess_newbing_out(response)) yield from update_ui( chatbot=chatbot, history=history, msg="NewBing响应缓慢，尚未完成全部响应，请耐心完成后再提交新问题。" ) if response == "[Local Message] 等待NewBing响应中 ...": response = "[Local Message] NewBing响应异常，请刷新界面重试 ..." history.extend([inputs, response]) logging.info(f"[raw_input] {inputs}") logging.info(f"[response] {response}") yield from update_ui(chatbot=chatbot, history=history, msg="完成全部响应，请提交新问题。")