镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
format source code
这个提交包含在：
binary-husky
@@ -7,14 +7,15 @@ 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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=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
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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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"""
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from slack_sdk.errors import SlackApiError
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@@ -23,20 +24,23 @@ try:
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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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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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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'))
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response = await self.conversations_open(
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users=get_conf("SLACK_CLAUDE_BOT_ID")
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)
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self.CHANNEL_ID = response["channel"]["id"]
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async def chat(self, text):
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@@ -49,33 +53,39 @@ try:
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async def get_slack_messages(self):
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try:
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# 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
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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')]
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resp = await self.conversations_history(
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channel=self.CHANNEL_ID, oldest=self.LAST_TS, limit=1
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)
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msg = [
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msg
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for msg in resp["messages"]
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if msg.get("user") == get_conf("SLACK_CLAUDE_BOT_ID")
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]
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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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=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
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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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"""
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@@ -88,7 +98,7 @@ class ClaudeHandle(Process):
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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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if self.success:
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self.start()
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self.threadLock = threading.Lock()
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@@ -96,6 +106,7 @@ class ClaudeHandle(Process):
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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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@@ -103,40 +114,44 @@ class ClaudeHandle(Process):
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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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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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# 等待
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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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question = kwargs["query"]
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history = kwargs["history"]
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# 开始问问题
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prompt = ""
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# 问题
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prompt += question
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print('question:', prompt)
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print("question:", prompt)
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# 提交
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await self.claude_model.chat(prompt)
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# 获取回复
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async for final, response in self.claude_model.get_reply():
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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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# 防止丢失最后一条消息
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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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last_msg = (
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slack_msgs[-1]["text"]
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if slack_msgs and len(slack_msgs) > 0
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else ""
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)
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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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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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@@ -146,22 +161,24 @@ class ClaudeHandle(Process):
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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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# 代理设置
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proxies = get_conf('proxies')
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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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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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SLACK_CLAUDE_USER_TOKEN = get_conf("SLACK_CLAUDE_USER_TOKEN")
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self.claude_model = SlackClient(
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token=SLACK_CLAUDE_USER_TOKEN, proxy=self.proxies_https
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)
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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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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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@@ -169,42 +186,49 @@ class ClaudeHandle(Process):
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# 进入任务等待状态
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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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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) # 发送请求到子进程
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self.parent.send(kwargs) # 发送请求到子进程
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while True:
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res = self.parent.recv() # 等待Claude回复的片段
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if res == '[Finish]':
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break # 结束
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elif res == '[Fail]':
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res = self.parent.recv() # 等待Claude回复的片段
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if res == "[Finish]":
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break # 结束
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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 # Claude回复的片段
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yield res # Claude回复的片段
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self.threadLock.release()
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"""
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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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"""
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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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def predict_no_ui_long_connection(
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inputs,
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llm_kwargs,
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history=[],
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sys_prompt="",
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observe_window=None,
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console_slience=False,
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):
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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_llms/bridge_all.py
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多线程方法
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函数的说明请见 request_llms/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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@@ -217,24 +241,40 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="",
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# 没有 sys_prompt 接口，因此把prompt加入 history
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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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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 # 看门狗 (watchdog) 的耐心, 设置5秒即可
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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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for response in claude_handle.stream_chat(
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query=inputs,
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history=history_feedin,
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system_prompt=sys_prompt,
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max_length=llm_kwargs["max_length"],
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top_p=llm_kwargs["top_p"],
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temperature=llm_kwargs["temperature"],
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):
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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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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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def predict(
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inputs,
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llm_kwargs,
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plugin_kwargs,
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chatbot,
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history=[],
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system_prompt="",
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stream=True,
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additional_fn=None,
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):
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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_llms/bridge_all.py
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单线程方法
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函数的说明请见 request_llms/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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@@ -249,21 +289,30 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
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if additional_fn is not None:
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from core_functional import handle_core_functionality
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inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
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inputs, history = handle_core_functionality(
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additional_fn, inputs, history, chatbot
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)
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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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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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yield from update_ui(
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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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)
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for response in claude_handle.stream_chat(
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query=inputs, history=history_feedin, system_prompt=system_prompt
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):
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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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yield from update_ui(
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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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)
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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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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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在新工单中引用
屏蔽一个用户