gpt-academic4446 / request_llm /bridge_stackclaude.py
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from .bridge_newbing import preprocess_newbing_out, preprocess_newbing_out_simple
from multiprocessing import Process, Pipe
from toolbox import update_ui, get_conf, trimmed_format_exc
import threading
import importlib
import logging
import time
from toolbox import get_conf
import asyncio
load_message = "正在加载Claude组件,请稍候..."
try:
"""
========================================================================
第一部分:Slack API Client
https://github.com/yokonsan/claude-in-slack-api
========================================================================
"""
from slack_sdk.errors import SlackApiError
from slack_sdk.web.async_client import AsyncWebClient
class SlackClient(AsyncWebClient):
"""SlackClient类用于与Slack API进行交互,实现消息发送、接收等功能。
属性:
- CHANNEL_ID:str类型,表示频道ID。
方法:
- open_channel():异步方法。通过调用conversations_open方法打开一个频道,并将返回的频道ID保存在属性CHANNEL_ID中。
- chat(text: str):异步方法。向已打开的频道发送一条文本消息。
- get_slack_messages():异步方法。获取已打开频道的最新消息并返回消息列表,目前不支持历史消息查询。
- get_reply():异步方法。循环监听已打开频道的消息,如果收到"Typing…_"结尾的消息说明Claude还在继续输出,否则结束循环。
"""
CHANNEL_ID = None
async def open_channel(self):
response = await self.conversations_open(users=get_conf('SLACK_CLAUDE_BOT_ID')[0])
self.CHANNEL_ID = response["channel"]["id"]
async def chat(self, text):
if not self.CHANNEL_ID:
raise Exception("Channel not found.")
resp = await self.chat_postMessage(channel=self.CHANNEL_ID, text=text)
self.LAST_TS = resp["ts"]
async def get_slack_messages(self):
try:
# TODO:暂时不支持历史消息,因为在同一个频道里存在多人使用时历史消息渗透问题
resp = await self.conversations_history(channel=self.CHANNEL_ID, oldest=self.LAST_TS, limit=1)
msg = [msg for msg in resp["messages"]
if msg.get("user") == get_conf('SLACK_CLAUDE_BOT_ID')[0]]
return msg
except (SlackApiError, KeyError) as e:
raise RuntimeError(f"获取Slack消息失败。")
async def get_reply(self):
while True:
slack_msgs = await self.get_slack_messages()
if len(slack_msgs) == 0:
await asyncio.sleep(0.5)
continue
msg = slack_msgs[-1]
if msg["text"].endswith("Typing…_"):
yield False, msg["text"]
else:
yield True, msg["text"]
break
except:
pass
"""
========================================================================
第二部分:子进程Worker(调用主体)
========================================================================
"""
class ClaudeHandle(Process):
def __init__(self):
super().__init__(daemon=True)
self.parent, self.child = Pipe()
self.claude_model = None
self.info = ""
self.success = True
self.local_history = []
self.check_dependency()
if self.success:
self.start()
self.threadLock = threading.Lock()
def check_dependency(self):
try:
self.success = False
import slack_sdk
self.info = "依赖检测通过,等待Claude响应。注意目前不能多人同时调用Claude接口(有线程锁),否则将导致每个人的Claude问询历史互相渗透。调用Claude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Claude,除了基础的pip依赖以外,您还需要运行`pip install -r request_llm/requirements_slackclaude.txt`安装Claude的依赖,然后重启程序。"
self.success = False
def ready(self):
return self.claude_model is not None
async def async_run(self):
await self.claude_model.open_channel()
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.claude_model.reset()
self.local_history = []
# 开始问问题
prompt = ""
# Slack API最好不要添加系统提示
# 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:', prompt)
# 提交
await self.claude_model.chat(prompt)
# 获取回复
# async for final, response in self.claude_model.get_reply():
# await self.handle_claude_response(final, response)
async for final, response in self.claude_model.get_reply():
if not final:
print(response)
self.child.send(str(response))
else:
# 防止丢失最后一条消息
slack_msgs = await self.claude_model.get_slack_messages()
last_msg = slack_msgs[-1]["text"] if slack_msgs and len(slack_msgs) > 0 else ""
if last_msg:
self.child.send(last_msg)
print('-------- receive final ---------')
self.child.send('[Finish]')
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.claude_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']
try:
SLACK_CLAUDE_USER_TOKEN, = get_conf('SLACK_CLAUDE_USER_TOKEN')
self.claude_model = SlackClient(token=SLACK_CLAUDE_USER_TOKEN, proxy=self.proxies_https)
print('Claude组件初始化成功。')
except:
self.success = False
tb_str = '\n```\n' + trimmed_format_exc() + '\n```\n'
self.child.send(f'[Local Message] 不能加载Claude组件。{tb_str}')
self.child.send('[Fail]')
self.child.send('[Finish]')
raise RuntimeError(f"不能加载Claude组件。")
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] Claude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Claude回复的片段
if res == '[Finish]':
break # 结束
elif res == '[Fail]':
self.success = False
break
else:
yield res # Claude回复的片段
self.threadLock.release()
"""
========================================================================
第三部分:主进程统一调用函数接口
========================================================================
"""
global claude_handle
claude_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 claude_handle
if (claude_handle is None) or (not claude_handle.success):
claude_handle = ClaudeHandle()
observe_window[0] = load_message + "\n\n" + claude_handle.info
if not claude_handle.success:
error = claude_handle.info
claude_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Claude响应中 ..."
for response in claude_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Claude响应中 ..."))
global claude_handle
if (claude_handle is None) or (not claude_handle.success):
claude_handle = ClaudeHandle()
chatbot[-1] = (inputs, load_message + "\n\n" + claude_handle.info)
yield from update_ui(chatbot=chatbot, history=[])
if not claude_handle.success:
claude_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Claude响应中 ...")
response = "[Local Message]: 等待Claude响应中 ..."
yield from update_ui(chatbot=chatbot, history=history, msg="Claude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 claude_handle.stream_chat(query=inputs, history=history_feedin, system_prompt=system_prompt):
chatbot[-1] = (inputs, preprocess_newbing_out(response))
yield from update_ui(chatbot=chatbot, history=history, msg="Claude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Claude响应中 ...":
response = "[Local Message]: Claude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。")