Files
gpt_academic/crazy_functions/Social_Helper.py
2024-09-02 15:55:06 +00:00

66 lines
2.6 KiB
Python

from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_lastest_msg
from crazy_functions.crazy_utils import input_clipping
from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
import pickle, os
SOCIAL_NETWOK_WORKER_REGISTER = {}
class SocialNetwork():
def __init__(self):
self.people = []
class SocialNetworkWorker():
def __init__(self, user_name, llm_kwargs, auto_load_checkpoint=True, checkpoint_dir=None) -> None:
self.user_name = user_name
self.checkpoint_dir = checkpoint_dir
if auto_load_checkpoint:
self.social_network = self.load_from_checkpoint(checkpoint_dir)
else:
self.social_network = SocialNetwork()
def does_checkpoint_exist(self, checkpoint_dir=None):
import os, glob
if checkpoint_dir is None: checkpoint_dir = self.checkpoint_dir
if not os.path.exists(checkpoint_dir): return False
if len(glob.glob(os.path.join(checkpoint_dir, "social_network.pkl"))) == 0: return False
return True
def save_to_checkpoint(self, checkpoint_dir=None):
if checkpoint_dir is None: checkpoint_dir = self.checkpoint_dir
with open(os.path.join(checkpoint_dir, 'social_network.pkl'), "wb+") as f:
pickle.dump(self.social_network, f)
return
def load_from_checkpoint(self, checkpoint_dir=None):
if checkpoint_dir is None: checkpoint_dir = self.checkpoint_dir
if self.does_checkpoint_exist(checkpoint_dir=checkpoint_dir):
with open(os.path.join(checkpoint_dir, 'social_network.pkl'), "rb") as f:
social_network = pickle.load(f)
return social_network
else:
return SocialNetwork()
@CatchException
def I人助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request, num_day=5):
# 1. we retrieve worker from global context
user_name = chatbot.get_user()
checkpoint_dir=get_log_folder(user_name, plugin_name='experimental_rag')
if user_name in SOCIAL_NETWOK_WORKER_REGISTER:
social_network_worker = SOCIAL_NETWOK_WORKER_REGISTER[user_name]
else:
social_network_worker = SOCIAL_NETWOK_WORKER_REGISTER[user_name] = SocialNetworkWorker(
user_name,
llm_kwargs,
checkpoint_dir=checkpoint_dir,
auto_load_checkpoint=True
)
# 2. save
social_network_worker.social_network.people.append("张三")
social_network_worker.save_to_checkpoint(checkpoint_dir)
chatbot.append(["good", "work"])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面