镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 14:36:48 +00:00
a01ca93362
* logging sys to loguru: stage 1 complete * import loguru: stage 2 * logging -> loguru: stage 3 * support o1-preview and o1-mini * logging -> loguru stage 4 * update social helper * logging -> loguru: final stage * fix: console output * update translation matrix * fix: loguru argument error with proxy enabled (#1977) * relax llama index version * remove comment * Added some modules to support openrouter (#1975) * Added some modules for supporting openrouter model Added some modules for supporting openrouter model * Update config.py * Update .gitignore * Update bridge_openrouter.py * Not changed actually * Refactor logging in bridge_openrouter.py --------- Co-authored-by: binary-husky <qingxu.fu@outlook.com> * remove logging extra --------- Co-authored-by: Steven Moder <java20131114@gmail.com> Co-authored-by: Ren Lifei <2602264455@qq.com>
220 行
10 KiB
Python
220 行
10 KiB
Python
from toolbox import CatchException, update_ui, promote_file_to_downloadzone, get_log_folder, get_user
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from crazy_functions.plugin_template.plugin_class_template import GptAcademicPluginTemplate, ArgProperty
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import re
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f_prefix = 'GPT-Academic对话存档'
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def write_chat_to_file(chatbot, history=None, file_name=None):
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"""
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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。
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"""
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import os
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import time
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from themes.theme import advanced_css
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if file_name is None:
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file_name = f_prefix + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.html'
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fp = os.path.join(get_log_folder(get_user(chatbot), plugin_name='chat_history'), file_name)
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with open(fp, 'w', encoding='utf8') as f:
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from textwrap import dedent
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form = dedent("""
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<!DOCTYPE html><head><meta charset="utf-8"><title>对话存档</title><style>{CSS}</style></head>
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<body>
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<div class="test_temp1" style="width:10%; height: 500px; float:left;"></div>
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<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;">
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<div class="chat-body" style="display: flex;justify-content: center;flex-direction: column;align-items: center;flex-wrap: nowrap;">
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{CHAT_PREVIEW}
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<div></div>
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<div></div>
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<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>
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{HISTORY_PREVIEW}
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</div>
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</div>
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<div class="test_temp3" style="width:10%; height: 500px; float:left;"></div>
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</body>
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""")
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qa_from = dedent("""
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<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;">
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<div class="Question" style="border-radius: 2px;">{QUESTION}</div>
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<hr color="blue" style="border-top: dotted 2px #ccc;">
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<div class="Answer" style="border-radius: 2px;">{ANSWER}</div>
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</div>
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""")
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history_from = dedent("""
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<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;">
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<div class="entry" style="border-radius: 2px;">{ENTRY}</div>
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</div>
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""")
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CHAT_PREVIEW_BUF = ""
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for i, contents in enumerate(chatbot):
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question, answer = contents[0], contents[1]
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if question is None: question = ""
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try: question = str(question)
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except: question = ""
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if answer is None: answer = ""
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try: answer = str(answer)
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except: answer = ""
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CHAT_PREVIEW_BUF += qa_from.format(QUESTION=question, ANSWER=answer)
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HISTORY_PREVIEW_BUF = ""
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for h in history:
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HISTORY_PREVIEW_BUF += history_from.format(ENTRY=h)
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html_content = form.format(CHAT_PREVIEW=CHAT_PREVIEW_BUF, HISTORY_PREVIEW=HISTORY_PREVIEW_BUF, CSS=advanced_css)
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f.write(html_content)
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promote_file_to_downloadzone(fp, rename_file=file_name, chatbot=chatbot)
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return '对话历史写入：' + fp
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def gen_file_preview(file_name):
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try:
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with open(file_name, 'r', encoding='utf8') as f:
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file_content = f.read()
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# pattern to match the text between <head> and </head>
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pattern = re.compile(r'<head>.*?</head>', flags=re.DOTALL)
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file_content = re.sub(pattern, '', file_content)
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html, history = file_content.split('<hr color="blue"> \n\n 对话数据 (无渲染):\n')
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history = history.strip('<code>')
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history = history.strip('</code>')
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history = history.split("\n>>>")
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return list(filter(lambda x:x!="", history))[0][:100]
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except:
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return ""
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def read_file_to_chat(chatbot, history, file_name):
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with open(file_name, 'r', encoding='utf8') as f:
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file_content = f.read()
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from bs4 import BeautifulSoup
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soup = BeautifulSoup(file_content, 'lxml')
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# 提取QaBox信息
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chatbot.clear()
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qa_box_list = []
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qa_boxes = soup.find_all("div", class_="QaBox")
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for box in qa_boxes:
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question = box.find("div", class_="Question").get_text(strip=False)
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answer = box.find("div", class_="Answer").get_text(strip=False)
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qa_box_list.append({"Question": question, "Answer": answer})
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chatbot.append([question, answer])
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# 提取historyBox信息
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history_box_list = []
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history_boxes = soup.find_all("div", class_="historyBox")
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for box in history_boxes:
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entry = box.find("div", class_="entry").get_text(strip=False)
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history_box_list.append(entry)
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history = history_box_list
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chatbot.append([None, f"[Local Message] 载入对话{len(qa_box_list)}条，上下文{len(history)}条。"])
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return chatbot, history
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@CatchException
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def 对话历史存档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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"""
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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
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llm_kwargs gpt模型参数，如温度和top_p等，一般原样传递下去就行
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plugin_kwargs 插件模型的参数，暂时没有用武之地
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chatbot 聊天显示框的句柄，用于显示给用户
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history 聊天历史，前情提要
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system_prompt 给gpt的静默提醒
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user_request 当前用户的请求信息（IP地址等）
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"""
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file_name = plugin_kwargs.get("file_name", None)
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if (file_name is not None) and (file_name != "") and (not file_name.endswith('.html')): file_name += '.html'
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else: file_name = None
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chatbot.append((None, f"[Local Message] {write_chat_to_file(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。"))
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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
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class Conversation_To_File_Wrap(GptAcademicPluginTemplate):
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def __init__(self):
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"""
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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！
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"""
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pass
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def define_arg_selection_menu(self):
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"""
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定义插件的二级选项菜单
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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；
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"""
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gui_definition = {
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"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
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}
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return gui_definition
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def execute(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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"""
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执行插件
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"""
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yield from 对话历史存档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
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def hide_cwd(str):
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import os
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current_path = os.getcwd()
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replace_path = "."
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return str.replace(current_path, replace_path)
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@CatchException
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def 载入对话历史存档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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"""
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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
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llm_kwargs gpt模型参数，如温度和top_p等，一般原样传递下去就行
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plugin_kwargs 插件模型的参数，暂时没有用武之地
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chatbot 聊天显示框的句柄，用于显示给用户
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history 聊天历史，前情提要
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system_prompt 给gpt的静默提醒
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user_request 当前用户的请求信息（IP地址等）
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"""
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from crazy_functions.crazy_utils import get_files_from_everything
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success, file_manifest, _ = get_files_from_everything(txt, type='.html')
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if not success:
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if txt == "": txt = '空空如也的输入栏'
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import glob
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local_history = "<br/>".join([
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"`"+hide_cwd(f)+f" ({gen_file_preview(f)})"+"`"
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for f in glob.glob(
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f'{get_log_folder(get_user(chatbot), plugin_name="chat_history")}/**/{f_prefix}*.html',
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recursive=True
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)])
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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}"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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try:
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chatbot, history = read_file_to_chat(chatbot, history, file_manifest[0])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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except:
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chatbot.append([f"载入对话历史文件", f"对话历史文件损坏！"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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@CatchException
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def 删除所有本地对话历史记录(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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"""
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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
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llm_kwargs gpt模型参数，如温度和top_p等，一般原样传递下去就行
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plugin_kwargs 插件模型的参数，暂时没有用武之地
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chatbot 聊天显示框的句柄，用于显示给用户
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history 聊天历史，前情提要
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system_prompt 给gpt的静默提醒
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user_request 当前用户的请求信息（IP地址等）
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"""
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import glob, os
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local_history = "<br/>".join([
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"`"+hide_cwd(f)+"`"
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for f in glob.glob(
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f'{get_log_folder(get_user(chatbot), plugin_name="chat_history")}/**/{f_prefix}*.html', recursive=True
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)])
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for f in glob.glob(f'{get_log_folder(get_user(chatbot), plugin_name="chat_history")}/**/{f_prefix}*.html', recursive=True):
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os.remove(f)
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chatbot.append([f"删除所有历史对话文件", f"已删除<br/>{local_history}"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return |