ChatGPT-Assistant / helper.py
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import json
import os
import re
import builtins
import shutil
import uuid
from functools import wraps
import streamlit as st
import pandas as pd
from custom import *
# 聊天记录处理
def clear_folder(path):
if not os.path.exists(path):
return
for file_name in os.listdir(path):
file_path = os.path.join(path, file_name)
try:
shutil.rmtree(file_path)
except Exception:
pass
def set_chats_path():
save_path = 'chat_history'
if 'apikey' not in st.secrets:
clear_folder('tem_files')
save_path = 'tem_files/tem_chat' + str(uuid.uuid4())
return save_path
# 重新open函数,路径不存在时自动创建
def create_path(func):
@wraps(func)
def wrapper(path, *args, **kwargs):
if not os.path.exists(os.path.dirname(path)):
os.makedirs(os.path.dirname(path))
return func(path, *args, **kwargs)
return wrapper
open = create_path(builtins.open)
def get_history_chats(path):
try:
os.makedirs(path)
except FileExistsError:
pass
files = [f for f in os.listdir(f'./{path}') if f.endswith('.json')]
files_with_time = [(f, os.stat(f'./{path}/' + f).st_ctime) for f in files]
sorted_files = sorted(files_with_time, key=lambda x: x[1], reverse=True)
chat_names = [os.path.splitext(f[0])[0] for f in sorted_files]
if len(chat_names) == 0:
chat_names.append('New Chat_' + str(uuid.uuid4()))
return chat_names
def save_data(path: str, file_name: str, history: list, paras: dict, contexts: dict, **kwargs):
with open(f"./{path}/{file_name}.json", 'w', encoding='utf-8') as f:
json.dump({"history": history, "paras": paras, "contexts": contexts, **kwargs}, f)
def remove_data(path: str, file_name: str):
try:
os.remove(f"./{path}/{file_name}.json")
except FileNotFoundError:
pass
def load_data(path: str, file_name: str) -> dict:
try:
with open(f"./{path}/{file_name}.json", 'r', encoding='utf-8') as f:
data = json.load(f)
return data
except FileNotFoundError:
with open(f"./{path}/{file_name}.json", 'w', encoding='utf-8') as f:
f.write(json.dumps(initial_content_all))
return initial_content_all
def show_each_message(message, role, area=None):
if area is None:
area = [st.markdown] * 2
if role == 'user':
icon = user_svg
name = user_name
background_color = user_background_color
else:
icon = gpt_svg
name = gpt_name
background_color = gpt_background_color
area[0](f"\n<div class='avatar'>{icon}<h2>{name}:</h2></div>", unsafe_allow_html=True)
area[1](f"""<div class='content-div' style='background-color: {background_color};'>\n\n{message}""",
unsafe_allow_html=True)
def show_messages(messages: list):
for each in messages:
if (each["role"] == "user") or (each["role"] == "assistant"):
show_each_message(each["content"], each["role"])
if each["role"] == "assistant":
st.write("---")
# 根据context_level提取history
def get_history_input(history, level):
df_history = pd.DataFrame(history)
df_system = df_history.query('role=="system"')
df_input = df_history.query('role!="system"')
df_input = df_input[-level * 2:]
res = pd.concat([df_system, df_input], ignore_index=True).to_dict('records')
return res
# 去除#号右边的空格
def remove_hashtag_right__space(text):
res = re.sub(r"(#+)\s*", r"\1", text)
return res
# 提取文本
def extract_chars(text, num):
char_num = 0
chars = ''
for char in text:
# 汉字算两个字符
if '\u4e00' <= char <= '\u9fff':
char_num += 2
else:
char_num += 1
chars += char
if char_num >= num:
break
return chars