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from .bridge_newbing import preprocess_newbing_out, preprocess_newbing_out_simple |
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from multiprocessing import Process, Pipe |
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from toolbox import update_ui, get_conf, trimmed_format_exc |
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import threading |
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import importlib |
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import logging |
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import time |
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from toolbox import get_conf |
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import asyncio |
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load_message = "正在加载Claude组件,请稍候..." |
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try: |
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""" |
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======================================================================== |
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第一部分:Slack API Client |
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https://github.com/yokonsan/claude-in-slack-api |
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======================================================================== |
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""" |
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from slack_sdk.errors import SlackApiError |
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from slack_sdk.web.async_client import AsyncWebClient |
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class SlackClient(AsyncWebClient): |
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"""SlackClient类用于与Slack API进行交互,实现消息发送、接收等功能。 |
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属性: |
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- CHANNEL_ID:str类型,表示频道ID。 |
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方法: |
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- 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。 |
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- chat(text: str):异步方法。向已打开的频道发送一条文本消息。 |
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- 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。 |
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- 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。 |
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""" |
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CHANNEL_ID = None |
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async def open_channel(self): |
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response = await self.conversations_open(users=get_conf('SLACK_CLAUDE_BOT_ID')[0]) |
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self.CHANNEL_ID = response["channel"]["id"] |
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async def chat(self, text): |
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if not self.CHANNEL_ID: |
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raise Exception("Channel not found.") |
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resp = await self.chat_postMessage(channel=self.CHANNEL_ID, text=text) |
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self.LAST_TS = resp["ts"] |
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async def get_slack_messages(self): |
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try: |
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resp = await self.conversations_history(channel=self.CHANNEL_ID, oldest=self.LAST_TS, limit=1) |
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msg = [msg for msg in resp["messages"] |
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if msg.get("user") == get_conf('SLACK_CLAUDE_BOT_ID')[0]] |
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return msg |
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except (SlackApiError, KeyError) as e: |
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raise RuntimeError(f"获取Slack消息失败。") |
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async def get_reply(self): |
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while True: |
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slack_msgs = await self.get_slack_messages() |
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if len(slack_msgs) == 0: |
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await asyncio.sleep(0.5) |
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continue |
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msg = slack_msgs[-1] |
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if msg["text"].endswith("Typing…_"): |
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yield False, msg["text"] |
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else: |
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yield True, msg["text"] |
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break |
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except: |
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pass |
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""" |
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======================================================================== |
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第二部分:子进程Worker(调用主体) |
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======================================================================== |
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""" |
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class ClaudeHandle(Process): |
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def __init__(self): |
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super().__init__(daemon=True) |
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self.parent, self.child = Pipe() |
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self.claude_model = None |
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self.info = "" |
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self.success = True |
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self.local_history = [] |
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self.check_dependency() |
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if self.success: |
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self.start() |
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self.threadLock = threading.Lock() |
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def check_dependency(self): |
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try: |
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self.success = False |
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import slack_sdk |
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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。" |
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self.success = True |
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except: |
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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。" |
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self.success = False |
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def ready(self): |
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return self.claude_model is not None |
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async def async_run(self): |
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await self.claude_model.open_channel() |
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while True: |
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kwargs = self.child.recv() |
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question = kwargs['query'] |
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history = kwargs['history'] |
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if len(self.local_history) > 0 and len(history) == 0: |
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self.local_history = [] |
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prompt = "" |
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for ab in history: |
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a, b = ab |
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if a not in self.local_history: |
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self.local_history.append(a) |
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prompt += a + '\n' |
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prompt += question |
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self.local_history.append(question) |
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print('question:', prompt) |
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await self.claude_model.chat(prompt) |
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async for final, response in self.claude_model.get_reply(): |
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if not final: |
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print(response) |
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self.child.send(str(response)) |
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else: |
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slack_msgs = await self.claude_model.get_slack_messages() |
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last_msg = slack_msgs[-1]["text"] if slack_msgs and len(slack_msgs) > 0 else "" |
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if last_msg: |
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self.child.send(last_msg) |
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print('-------- receive final ---------') |
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self.child.send('[Finish]') |
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def run(self): |
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""" |
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这个函数运行在子进程 |
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""" |
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self.success = False |
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self.local_history = [] |
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if (self.claude_model is None) or (not self.success): |
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proxies, = get_conf('proxies') |
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if proxies is None: |
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self.proxies_https = None |
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else: |
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self.proxies_https = proxies['https'] |
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try: |
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SLACK_CLAUDE_USER_TOKEN, = get_conf('SLACK_CLAUDE_USER_TOKEN') |
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self.claude_model = SlackClient(token=SLACK_CLAUDE_USER_TOKEN, proxy=self.proxies_https) |
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print('Claude组件初始化成功。') |
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except: |
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self.success = False |
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tb_str = '\n```\n' + trimmed_format_exc() + '\n```\n' |
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self.child.send(f'[Local Message] 不能加载Claude组件。{tb_str}') |
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self.child.send('[Fail]') |
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self.child.send('[Finish]') |
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raise RuntimeError(f"不能加载Claude组件。") |
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self.success = True |
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try: |
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asyncio.run(self.async_run()) |
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except Exception: |
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tb_str = '\n```\n' + trimmed_format_exc() + '\n```\n' |
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self.child.send(f'[Local Message] Claude失败 {tb_str}.') |
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self.child.send('[Fail]') |
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self.child.send('[Finish]') |
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def stream_chat(self, **kwargs): |
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""" |
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这个函数运行在主进程 |
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""" |
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self.threadLock.acquire() |
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self.parent.send(kwargs) |
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while True: |
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res = self.parent.recv() |
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if res == '[Finish]': |
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break |
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elif res == '[Fail]': |
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self.success = False |
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break |
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else: |
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yield res |
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self.threadLock.release() |
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""" |
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======================================================================== |
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第三部分:主进程统一调用函数接口 |
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======================================================================== |
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""" |
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global claude_handle |
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claude_handle = None |
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def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False): |
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""" |
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多线程方法 |
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函数的说明请见 request_llm/bridge_all.py |
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""" |
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global claude_handle |
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if (claude_handle is None) or (not claude_handle.success): |
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claude_handle = ClaudeHandle() |
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observe_window[0] = load_message + "\n\n" + claude_handle.info |
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if not claude_handle.success: |
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error = claude_handle.info |
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claude_handle = None |
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raise RuntimeError(error) |
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history_feedin = [] |
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for i in range(len(history)//2): |
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history_feedin.append([history[2*i], history[2*i+1]]) |
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watch_dog_patience = 5 |
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response = "" |
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observe_window[0] = "[Local Message]: 等待Claude响应中 ..." |
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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']): |
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observe_window[0] = preprocess_newbing_out_simple(response) |
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if len(observe_window) >= 2: |
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if (time.time()-observe_window[1]) > watch_dog_patience: |
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raise RuntimeError("程序终止。") |
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return preprocess_newbing_out_simple(response) |
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def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream=True, additional_fn=None): |
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""" |
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单线程方法 |
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函数的说明请见 request_llm/bridge_all.py |
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""" |
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chatbot.append((inputs, "[Local Message]: 等待Claude响应中 ...")) |
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global claude_handle |
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if (claude_handle is None) or (not claude_handle.success): |
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claude_handle = ClaudeHandle() |
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chatbot[-1] = (inputs, load_message + "\n\n" + claude_handle.info) |
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yield from update_ui(chatbot=chatbot, history=[]) |
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if not claude_handle.success: |
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claude_handle = None |
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return |
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if additional_fn is not None: |
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import core_functional |
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importlib.reload(core_functional) |
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core_functional = core_functional.get_core_functions() |
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if "PreProcess" in core_functional[additional_fn]: |
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inputs = core_functional[additional_fn]["PreProcess"]( |
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inputs) |
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inputs = core_functional[additional_fn]["Prefix"] + \ |
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inputs + core_functional[additional_fn]["Suffix"] |
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history_feedin = [] |
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for i in range(len(history)//2): |
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history_feedin.append([history[2*i], history[2*i+1]]) |
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chatbot[-1] = (inputs, "[Local Message]: 等待Claude响应中 ...") |
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response = "[Local Message]: 等待Claude响应中 ..." |
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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。") |
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for response in claude_handle.stream_chat(query=inputs, history=history_feedin, system_prompt=system_prompt): |
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chatbot[-1] = (inputs, preprocess_newbing_out(response)) |
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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。") |
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if response == "[Local Message]: 等待Claude响应中 ...": |
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response = "[Local Message]: Claude响应异常,请刷新界面重试 ..." |
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history.extend([inputs, response]) |
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logging.info(f'[raw_input] {inputs}') |
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logging.info(f'[response] {response}') |
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yield from update_ui(chatbot=chatbot, history=history, msg="完成全部响应,请提交新问题。") |
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