镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
update social helper
这个提交包含在:
@@ -1,7 +1,12 @@
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import pickle, os, random
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from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_lastest_msg
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from crazy_functions.crazy_utils import input_clipping
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from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
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import pickle, os
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from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError
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from request_llms.bridge_all import predict_no_ui_long_connection
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from pydantic import BaseModel, Field
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from loguru import logger
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SOCIAL_NETWOK_WORKER_REGISTER = {}
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@@ -9,7 +14,7 @@ class SocialNetwork():
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def __init__(self):
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self.people = []
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class SocialNetworkWorker():
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class SaveAndLoad():
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def __init__(self, user_name, llm_kwargs, auto_load_checkpoint=True, checkpoint_dir=None) -> None:
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self.user_name = user_name
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self.checkpoint_dir = checkpoint_dir
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@@ -41,8 +46,70 @@ class SocialNetworkWorker():
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return SocialNetwork()
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class Friend(BaseModel):
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friend_name: str = Field(description="name of a friend")
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friend_description: str = Field(description="description of a friend (everything about this friend)")
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friend_relationship: str = Field(description="The relationship with a friend (e.g. friend, family, colleague)")
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def structure_output(txt, prompt, err_msg, run_gpt_fn, pydantic_cls):
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gpt_json_io = GptJsonIO(pydantic_cls)
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analyze_res = run_gpt_fn(
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txt,
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sys_prompt=prompt + gpt_json_io.format_instructions
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)
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try:
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friend:Friend = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn)
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except JsonStringError as e:
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return None, err_msg
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err_msg = ""
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return friend, err_msg
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class SocialNetworkWorker(SaveAndLoad):
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def run(self, txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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run_gpt_fn = lambda inputs, sys_prompt: predict_no_ui_long_connection(inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[])
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# adding friend: 🧑🤝🧑
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if txt.startswith("add-friend"):
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friend, err_msg = structure_output(
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txt=txt,
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prompt="根据提示, 解析一个联系人的身份信息\n\n",
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err_msg=f"不能理解该联系人",
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run_gpt_fn=run_gpt_fn,
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pydantic_cls=Friend
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)
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if friend:
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self.add_friend(friend)
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else:
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yield from update_ui_lastest_msg(lastmsg=err_msg, chatbot=chatbot, history=history, delay=0)
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# learn friend info: 🧑🤝🧑
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if txt.startswith("give-advice"):
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# randomly select a friend
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if len(self.social_network.people) == 0:
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yield from update_ui_lastest_msg(lastmsg="没有联系人", chatbot=chatbot, history=history, delay=0)
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return
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else:
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# randomly select a friend
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friend = random.choice(self.social_network.people)
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yield from update_ui_lastest_msg(lastmsg=f"给你一个建议: {friend.friend_description}", chatbot=chatbot, history=history, delay=0)
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def add_friend(self, friend):
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# check whether the friend is already in the social network
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for f in self.social_network.people:
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if f.friend_name == friend.friend_name:
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f.friend_description = friend.friend_description
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f.friend_relationship = friend.friend_relationship
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logger.info(f"Repeated friend, update info: {friend}")
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return
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logger.info(f"Add a new friend: {friend}")
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self.social_network.people.append(friend)
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return
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@CatchException
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def I人助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request, num_day=5):
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def I人助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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# 1. we retrieve worker from global context
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user_name = chatbot.get_user()
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@@ -58,8 +125,7 @@ def I人助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt,
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)
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# 2. save
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social_network_worker.social_network.people.append("张三")
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yield from social_network_worker.run(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
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social_network_worker.save_to_checkpoint(checkpoint_dir)
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chatbot.append(["good", "work"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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