chatgpt_academic/request_llms/bridge_stackclaude.py
2023-10-29 00:34:40 +08:00

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from .bridge_newbingfree 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_IDstr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_llms/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']
# 开始问问题
prompt = ""
# 问题
prompt += 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():
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_llms/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_llms/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:
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。")