153 lines
7.3 KiB
Python
153 lines
7.3 KiB
Python
from toolbox import CatchException, update_ui, promote_file_to_downloadzone, get_log_folder, get_user
|
||
import re
|
||
|
||
f_prefix = 'GPT-Academic对话存档'
|
||
|
||
def write_chat_to_file(chatbot, history=None, file_name=None):
|
||
"""
|
||
将对话记录history以Markdown格式写入文件中。如果没有指定文件名，则使用当前时间生成文件名。
|
||
"""
|
||
import os
|
||
import time
|
||
if file_name is None:
|
||
file_name = f_prefix + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.html'
|
||
fp = os.path.join(get_log_folder(get_user(chatbot), plugin_name='chat_history'), file_name)
|
||
with open(fp, 'w', encoding='utf8') as f:
|
||
from themes.theme import advanced_css
|
||
f.write(f'<!DOCTYPE html><head><meta charset="utf-8"><title>对话历史</title><style>{advanced_css}</style></head>')
|
||
for i, contents in enumerate(chatbot):
|
||
for j, content in enumerate(contents):
|
||
try: # 这个bug没找到触发条件，暂时先这样顶一下
|
||
if type(content) != str: content = str(content)
|
||
except:
|
||
continue
|
||
f.write(content)
|
||
if j == 0:
|
||
f.write('<hr style="border-top: dotted 3px #ccc;">')
|
||
f.write('<hr color="red"> \n\n')
|
||
f.write('<hr color="blue"> \n\n raw chat context:\n')
|
||
f.write('<code>')
|
||
for h in history:
|
||
f.write("\n>>>" + h)
|
||
f.write('</code>')
|
||
promote_file_to_downloadzone(fp, rename_file=file_name, chatbot=chatbot)
|
||
return '对话历史写入：' + fp
|
||
|
||
def gen_file_preview(file_name):
|
||
try:
|
||
with open(file_name, 'r', encoding='utf8') as f:
|
||
file_content = f.read()
|
||
# pattern to match the text between <head> and </head>
|
||
pattern = re.compile(r'<head>.*?</head>', flags=re.DOTALL)
|
||
file_content = re.sub(pattern, '', file_content)
|
||
html, history = file_content.split('<hr color="blue"> \n\n raw chat context:\n')
|
||
history = history.strip('<code>')
|
||
history = history.strip('</code>')
|
||
history = history.split("\n>>>")
|
||
return list(filter(lambda x:x!="", history))[0][:100]
|
||
except:
|
||
return ""
|
||
|
||
def read_file_to_chat(chatbot, history, file_name):
|
||
with open(file_name, 'r', encoding='utf8') as f:
|
||
file_content = f.read()
|
||
# pattern to match the text between <head> and </head>
|
||
pattern = re.compile(r'<head>.*?</head>', flags=re.DOTALL)
|
||
file_content = re.sub(pattern, '', file_content)
|
||
html, history = file_content.split('<hr color="blue"> \n\n raw chat context:\n')
|
||
history = history.strip('<code>')
|
||
history = history.strip('</code>')
|
||
history = history.split("\n>>>")
|
||
history = list(filter(lambda x:x!="", history))
|
||
html = html.split('<hr color="red"> \n\n')
|
||
html = list(filter(lambda x:x!="", html))
|
||
chatbot.clear()
|
||
for i, h in enumerate(html):
|
||
i_say, gpt_say = h.split('<hr style="border-top: dotted 3px #ccc;">')
|
||
chatbot.append([i_say, gpt_say])
|
||
chatbot.append([f"存档文件详情？", f"[Local Message] 载入对话{len(html)}条，上下文{len(history)}条。"])
|
||
return chatbot, history
|
||
|
||
@CatchException
|
||
def 对话历史存档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
|
||
"""
|
||
txt 输入栏用户输入的文本，例如需要翻译的一段话，再例如一个包含了待处理文件的路径
|
||
llm_kwargs gpt模型参数，如温度和top_p等，一般原样传递下去就行
|
||
plugin_kwargs 插件模型的参数，暂时没有用武之地
|
||
chatbot 聊天显示框的句柄，用于显示给用户
|
||
history 聊天历史，前情提要
|
||
system_prompt 给gpt的静默提醒
|
||
user_request 当前用户的请求信息（IP地址等）
|
||
"""
|
||
|
||
chatbot.append(("保存当前对话",
|
||
f"[Local Message] {write_chat_to_file(chatbot, history)}，您可以调用下拉菜单中的“载入对话历史存档”还原当下的对话。"))
|
||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间，我们先及时地做一次界面更新
|
||
|
||
def hide_cwd(str):
|
||
import os
|
||
current_path = os.getcwd()
|
||
replace_path = "."
|
||
return str.replace(current_path, replace_path)
|
||
|
||
@CatchException
|
||
def 载入对话历史存档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
|
||
"""
|
||
txt 输入栏用户输入的文本，例如需要翻译的一段话，再例如一个包含了待处理文件的路径
|
||
llm_kwargs gpt模型参数，如温度和top_p等，一般原样传递下去就行
|
||
plugin_kwargs 插件模型的参数，暂时没有用武之地
|
||
chatbot 聊天显示框的句柄，用于显示给用户
|
||
history 聊天历史，前情提要
|
||
system_prompt 给gpt的静默提醒
|
||
user_request 当前用户的请求信息（IP地址等）
|
||
"""
|
||
from .crazy_utils import get_files_from_everything
|
||
success, file_manifest, _ = get_files_from_everything(txt, type='.html')
|
||
|
||
if not success:
|
||
if txt == "": txt = '空空如也的输入栏'
|
||
import glob
|
||
local_history = "<br/>".join([
|
||
"`"+hide_cwd(f)+f" ({gen_file_preview(f)})"+"`"
|
||
for f in glob.glob(
|
||
f'{get_log_folder(get_user(chatbot), plugin_name="chat_history")}/**/{f_prefix}*.html',
|
||
recursive=True
|
||
)])
|
||
chatbot.append([f"正在查找对话历史文件（html格式）: {txt}", f"找不到任何html文件: {txt}。但本地存储了以下历史文件，您可以将任意一个文件路径粘贴到输入区，然后重试：<br/>{local_history}"])
|
||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||
return
|
||
|
||
try:
|
||
chatbot, history = read_file_to_chat(chatbot, history, file_manifest[0])
|
||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||
except:
|
||
chatbot.append([f"载入对话历史文件", f"对话历史文件损坏！"])
|
||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||
return
|
||
|
||
@CatchException
|
||
def 删除所有本地对话历史记录(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
|
||
"""
|
||
txt 输入栏用户输入的文本，例如需要翻译的一段话，再例如一个包含了待处理文件的路径
|
||
llm_kwargs gpt模型参数，如温度和top_p等，一般原样传递下去就行
|
||
plugin_kwargs 插件模型的参数，暂时没有用武之地
|
||
chatbot 聊天显示框的句柄，用于显示给用户
|
||
history 聊天历史，前情提要
|
||
system_prompt 给gpt的静默提醒
|
||
user_request 当前用户的请求信息（IP地址等）
|
||
"""
|
||
|
||
import glob, os
|
||
local_history = "<br/>".join([
|
||
"`"+hide_cwd(f)+"`"
|
||
for f in glob.glob(
|
||
f'{get_log_folder(get_user(chatbot), plugin_name="chat_history")}/**/{f_prefix}*.html', recursive=True
|
||
)])
|
||
for f in glob.glob(f'{get_log_folder(get_user(chatbot), plugin_name="chat_history")}/**/{f_prefix}*.html', recursive=True):
|
||
os.remove(f)
|
||
chatbot.append([f"删除所有历史对话文件", f"已删除<br/>{local_history}"])
|
||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||
return
|
||
|
||
|