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""" | |
======================================================================== | |
第一部分:来自EdgeGPT.py | |
https://github.com/acheong08/EdgeGPT | |
======================================================================== | |
""" | |
from .edge_gpt import 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 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```\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```\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_llm/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_llm.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' | |
# if b not in self.local_history: | |
# self.local_history.append(b) | |
# prompt += b + '\n' | |
# 问题 | |
prompt += question | |
self.local_history.append(question) | |
print('question:', question) | |
# 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, = get_conf('proxies') | |
if proxies is None: | |
self.proxies_https = None | |
else: | |
self.proxies_https = proxies['https'] | |
# cookie | |
NEWBING_COOKIES, = get_conf('NEWBING_COOKIES') | |
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] 不能加载Newbing组件。NEWBING_COOKIES未填写或有格式错误。') | |
self.child.send('[Fail]') | |
self.child.send('[Finish]') | |
raise RuntimeError(f"不能加载Newbing组件。NEWBING_COOKIES未填写或有格式错误。") | |
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。{tb_str}') | |
self.child.send('[Fail]') | |
self.child.send('[Finish]') | |
raise RuntimeError(f"不能加载Newbing组件。") | |
self.success = True | |
try: | |
# 进入任务等待状态 | |
asyncio.run(self.async_run()) | |
except Exception: | |
tb_str = '```\n' + trimmed_format_exc() + '```' | |
self.child.send(f'[Local Message] Newbing失败 {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() | |
self.parent.send(kwargs) # 发送请求到子进程 | |
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 | |
else: | |
yield res # newbing回复的片段 | |
self.threadLock.release() | |
""" | |
======================================================================== | |
第三部分:主进程统一调用函数接口 | |
======================================================================== | |
""" | |
global newbing_handle | |
newbing_handle = None | |
def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False): | |
""" | |
多线程方法 | |
函数的说明请见 request_llm/bridge_all.py | |
""" | |
global newbing_handle | |
if (newbing_handle is None) or (not newbing_handle.success): | |
newbing_handle = NewBingHandle() | |
observe_window[0] = load_message + "\n\n" + newbing_handle.info | |
if not newbing_handle.success: | |
error = newbing_handle.info | |
newbing_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 = "" | |
observe_window[0] = "[Local Message]: 等待NewBing响应中 ..." | |
for response in newbing_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']): | |
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_llm/bridge_all.py | |
""" | |
chatbot.append((inputs, "[Local Message]: 等待NewBing响应中 ...")) | |
global newbing_handle | |
if (newbing_handle is None) or (not newbing_handle.success): | |
newbing_handle = NewBingHandle() | |
chatbot[-1] = (inputs, load_message + "\n\n" + newbing_handle.info) | |
yield from update_ui(chatbot=chatbot, history=[]) | |
if not newbing_handle.success: | |
newbing_handle = None | |
return | |
if additional_fn is not None: | |
import core_functional | |
importlib.reload(core_functional) # 热更新prompt | |
core_functional = core_functional.get_core_functions() | |
if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs) # 获取预处理函数(如果有的话) | |
inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"] | |
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 newbing_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。") | |
history.extend([inputs, response]) | |
yield from update_ui(chatbot=chatbot, history=history, msg="完成全部响应,请提交新问题。") | |