镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
374 行
17 KiB
Python
374 行
17 KiB
Python
import re
|
||
from toolbox import CatchException, update_ui, promote_file_to_downloadzone, get_log_folder, get_user, update_ui_latest_msg
|
||
from crazy_functions.plugin_template.plugin_class_template import GptAcademicPluginTemplate, ArgProperty
|
||
from loguru import logger
|
||
|
||
f_prefix = 'GPT-Academic对话存档'
|
||
|
||
def write_chat_to_file_legacy(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
|
||
from themes.theme import advanced_css
|
||
|
||
if (file_name is not None) and (file_name != "") and (not file_name.endswith('.html')): file_name += '.html'
|
||
else: file_name = None
|
||
|
||
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 textwrap import dedent
|
||
form = dedent("""
|
||
<!DOCTYPE html><head><meta charset="utf-8"><title>对话存档</title><style>{CSS}</style></head>
|
||
<body>
|
||
<div class="test_temp1" style="width:10%; height: 500px; float:left;"></div>
|
||
<div class="test_temp2" style="width:80%;padding: 40px;float:left;padding-left: 20px;padding-right: 20px;box-shadow: rgba(0, 0, 0, 0.2) 0px 0px 8px 8px;border-radius: 10px;">
|
||
<div class="chat-body" style="display: flex;justify-content: center;flex-direction: column;align-items: center;flex-wrap: nowrap;">
|
||
{CHAT_PREVIEW}
|
||
<div></div>
|
||
<div></div>
|
||
<div style="text-align: center;width:80%;padding: 0px;float:left;padding-left:20px;padding-right:20px;box-shadow: rgba(0, 0, 0, 0.05) 0px 0px 1px 2px;border-radius: 1px;">对话（原始数据）</div>
|
||
{HISTORY_PREVIEW}
|
||
</div>
|
||
</div>
|
||
<div class="test_temp3" style="width:10%; height: 500px; float:left;"></div>
|
||
</body>
|
||
""")
|
||
|
||
qa_from = dedent("""
|
||
<div class="QaBox" style="width:80%;padding: 20px;margin-bottom: 20px;box-shadow: rgb(0 255 159 / 50%) 0px 0px 1px 2px;border-radius: 4px;">
|
||
<div class="Question" style="border-radius: 2px;">{QUESTION}</div>
|
||
<hr color="blue" style="border-top: dotted 2px #ccc;">
|
||
<div class="Answer" style="border-radius: 2px;">{ANSWER}</div>
|
||
</div>
|
||
""")
|
||
|
||
history_from = dedent("""
|
||
<div class="historyBox" style="width:80%;padding: 0px;float:left;padding-left:20px;padding-right:20px;box-shadow: rgba(0, 0, 0, 0.05) 0px 0px 1px 2px;border-radius: 1px;">
|
||
<div class="entry" style="border-radius: 2px;">{ENTRY}</div>
|
||
</div>
|
||
""")
|
||
CHAT_PREVIEW_BUF = ""
|
||
for i, contents in enumerate(chatbot):
|
||
question, answer = contents[0], contents[1]
|
||
if question is None: question = ""
|
||
try: question = str(question)
|
||
except: question = ""
|
||
if answer is None: answer = ""
|
||
try: answer = str(answer)
|
||
except: answer = ""
|
||
CHAT_PREVIEW_BUF += qa_from.format(QUESTION=question, ANSWER=answer)
|
||
|
||
HISTORY_PREVIEW_BUF = ""
|
||
for h in history:
|
||
HISTORY_PREVIEW_BUF += history_from.format(ENTRY=h)
|
||
html_content = form.format(CHAT_PREVIEW=CHAT_PREVIEW_BUF, HISTORY_PREVIEW=HISTORY_PREVIEW_BUF, CSS=advanced_css)
|
||
f.write(html_content)
|
||
|
||
promote_file_to_downloadzone(fp, rename_file=file_name, chatbot=chatbot)
|
||
return '对话历史写入：' + fp
|
||
|
||
def write_chat_to_file(chatbot, history=None, file_name=None):
|
||
"""
|
||
将对话记录history以多种格式（HTML、Word、Markdown）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。
|
||
|
||
Args:
|
||
chatbot: 聊天机器人对象，包含对话内容
|
||
history: 对话历史记录
|
||
file_name: 指定的文件名，如果为None则使用时间戳
|
||
|
||
Returns:
|
||
str: 提示信息，包含文件保存路径
|
||
"""
|
||
import os
|
||
import time
|
||
import asyncio
|
||
import aiofiles
|
||
from toolbox import promote_file_to_downloadzone
|
||
from crazy_functions.doc_fns.conversation_doc.excel_doc import save_chat_tables
|
||
from crazy_functions.doc_fns.conversation_doc.html_doc import HtmlFormatter
|
||
from crazy_functions.doc_fns.conversation_doc.markdown_doc import MarkdownFormatter
|
||
from crazy_functions.doc_fns.conversation_doc.word_doc import WordFormatter
|
||
from crazy_functions.doc_fns.conversation_doc.txt_doc import TxtFormatter
|
||
from crazy_functions.doc_fns.conversation_doc.word2pdf import WordToPdfConverter
|
||
|
||
async def save_html():
|
||
try:
|
||
html_formatter = HtmlFormatter(chatbot, history)
|
||
html_content = html_formatter.create_document()
|
||
html_file = os.path.join(save_dir, base_name + '.html')
|
||
async with aiofiles.open(html_file, 'w', encoding='utf8') as f:
|
||
await f.write(html_content)
|
||
return html_file
|
||
except Exception as e:
|
||
print(f"保存HTML格式失败: {str(e)}")
|
||
return None
|
||
|
||
async def save_word():
|
||
try:
|
||
word_formatter = WordFormatter()
|
||
doc = word_formatter.create_document(history)
|
||
docx_file = os.path.join(save_dir, base_name + '.docx')
|
||
# 由于python-docx不支持异步，使用线程池执行
|
||
loop = asyncio.get_event_loop()
|
||
await loop.run_in_executor(None, doc.save, docx_file)
|
||
return docx_file
|
||
except Exception as e:
|
||
print(f"保存Word格式失败: {str(e)}")
|
||
return None
|
||
async def save_pdf(docx_file):
|
||
try:
|
||
if docx_file:
|
||
# 获取文件名和保存路径
|
||
pdf_file = os.path.join(save_dir, base_name + '.pdf')
|
||
|
||
# 在线程池中执行转换
|
||
loop = asyncio.get_event_loop()
|
||
pdf_file = await loop.run_in_executor(
|
||
None,
|
||
WordToPdfConverter.convert_to_pdf,
|
||
docx_file
|
||
# save_dir
|
||
)
|
||
|
||
return pdf_file
|
||
|
||
except Exception as e:
|
||
print(f"保存PDF格式失败: {str(e)}")
|
||
return None
|
||
|
||
async def save_markdown():
|
||
try:
|
||
md_formatter = MarkdownFormatter()
|
||
md_content = md_formatter.create_document(history)
|
||
md_file = os.path.join(save_dir, base_name + '.md')
|
||
async with aiofiles.open(md_file, 'w', encoding='utf8') as f:
|
||
await f.write(md_content)
|
||
return md_file
|
||
except Exception as e:
|
||
print(f"保存Markdown格式失败: {str(e)}")
|
||
return None
|
||
|
||
async def save_txt():
|
||
try:
|
||
txt_formatter = TxtFormatter()
|
||
txt_content = txt_formatter.create_document(history)
|
||
txt_file = os.path.join(save_dir, base_name + '.txt')
|
||
async with aiofiles.open(txt_file, 'w', encoding='utf8') as f:
|
||
await f.write(txt_content)
|
||
return txt_file
|
||
except Exception as e:
|
||
print(f"保存TXT格式失败: {str(e)}")
|
||
return None
|
||
|
||
async def main():
|
||
# 并发执行所有保存任务
|
||
html_task = asyncio.create_task(save_html())
|
||
word_task = asyncio.create_task(save_word())
|
||
md_task = asyncio.create_task(save_markdown())
|
||
txt_task = asyncio.create_task(save_txt())
|
||
|
||
# 等待所有任务完成
|
||
html_file = await html_task
|
||
docx_file = await word_task
|
||
md_file = await md_task
|
||
txt_file = await txt_task
|
||
|
||
# PDF转换需要等待word文件生成完成
|
||
pdf_file = await save_pdf(docx_file)
|
||
# 收集所有成功生成的文件
|
||
result_files = [f for f in [html_file, docx_file, md_file, txt_file, pdf_file] if f]
|
||
|
||
# 保存Excel表格
|
||
excel_files = save_chat_tables(history, save_dir, base_name)
|
||
result_files.extend(excel_files)
|
||
|
||
return result_files
|
||
|
||
# 生成时间戳
|
||
timestamp = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
|
||
|
||
# 获取保存目录
|
||
save_dir = get_log_folder(get_user(chatbot), plugin_name='chat_history')
|
||
|
||
# 处理文件名
|
||
base_name = file_name if file_name else f"聊天记录_{timestamp}"
|
||
|
||
# 运行异步任务
|
||
result_files = asyncio.run(main())
|
||
|
||
# 将生成的文件添加到下载区
|
||
for file in result_files:
|
||
promote_file_to_downloadzone(file, rename_file=os.path.basename(file), chatbot=chatbot)
|
||
|
||
# 如果没有成功保存任何文件，返回错误信息
|
||
if not result_files:
|
||
return "保存对话记录失败，请检查错误日志"
|
||
|
||
ext_list = [os.path.splitext(f)[1] for f in result_files]
|
||
# 返回成功信息和文件路径
|
||
return f"对话历史已保存至以下格式文件：" + "、".join(ext_list)
|
||
|
||
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 对话数据 (无渲染):\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()
|
||
from bs4 import BeautifulSoup
|
||
soup = BeautifulSoup(file_content, 'lxml')
|
||
# 提取QaBox信息
|
||
chatbot.clear()
|
||
qa_box_list = []
|
||
qa_boxes = soup.find_all("div", class_="QaBox")
|
||
for box in qa_boxes:
|
||
question = box.find("div", class_="Question").get_text(strip=False)
|
||
answer = box.find("div", class_="Answer").get_text(strip=False)
|
||
qa_box_list.append({"Question": question, "Answer": answer})
|
||
chatbot.append([question, answer])
|
||
# 提取historyBox信息
|
||
history_box_list = []
|
||
history_boxes = soup.find_all("div", class_="historyBox")
|
||
for box in history_boxes:
|
||
entry = box.find("div", class_="entry").get_text(strip=False)
|
||
history_box_list.append(entry)
|
||
history = history_box_list
|
||
chatbot.append([None, f"[Local Message] 载入对话{len(qa_box_list)}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）
|
||
"""
|
||
file_name = plugin_kwargs.get("file_name", None)
|
||
|
||
chatbot.append((None, f"[Local Message] {write_chat_to_file_legacy(chatbot, history, file_name)}，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。"))
|
||
try:
|
||
chatbot.append((None, f"[Local Message] 正在尝试生成pdf以及word格式的对话存档，请稍等..."))
|
||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求需要一段时间，我们先及时地做一次界面更新
|
||
lastmsg = f"[Local Message] {write_chat_to_file(chatbot, history, file_name)}。" \
|
||
f"您可以调用下拉菜单中的“载入对话历史会话”还原当下的对话，请注意，目前只支持html格式载入历史。" \
|
||
f"当模型回答中存在表格，将提取表格内容存储为Excel的xlsx格式，如果你提供一些数据,然后输入指令要求模型帮你整理为表格" \
|
||
f"（如“请帮我将下面的数据整理为表格：”），再利用此插件就可以获取到Excel表格。"
|
||
yield from update_ui_latest_msg(lastmsg, chatbot, history) # 刷新界面 # 由于请求需要一段时间，我们先及时地做一次界面更新
|
||
except Exception as e:
|
||
logger.exception(f"已完成对话存档（pdf和word格式的对话存档生成未成功）。{str(e)}")
|
||
lastmsg = "已完成对话存档（pdf和word格式的对话存档生成未成功）。"
|
||
yield from update_ui_latest_msg(lastmsg, chatbot, history) # 刷新界面 # 由于请求需要一段时间，我们先及时地做一次界面更新
|
||
return
|
||
|
||
class Conversation_To_File_Wrap(GptAcademicPluginTemplate):
|
||
def __init__(self):
|
||
"""
|
||
请注意`execute`会执行在不同的线程中，因此您在定义和使用类变量时，应当慎之又慎！
|
||
"""
|
||
pass
|
||
|
||
def define_arg_selection_menu(self):
|
||
"""
|
||
定义插件的二级选项菜单
|
||
|
||
第一个参数，名称`file_name`，参数`type`声明这是一个文本框，文本框上方显示`title`，文本框内部显示`description`，`default_value`为默认值；
|
||
"""
|
||
gui_definition = {
|
||
"file_name": ArgProperty(title="保存文件名", description="输入对话存档文件名，留空则使用时间作为文件名", default_value="", type="string").model_dump_json(), # 主输入，自动从输入框同步
|
||
}
|
||
return gui_definition
|
||
|
||
def execute(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
|
||
"""
|
||
执行插件
|
||
"""
|
||
yield from 对话历史存档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
|
||
|
||
|
||
|
||
|
||
|
||
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_functions.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 |