镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +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>
55 行
2.9 KiB
Python
55 行
2.9 KiB
Python
from loguru import logger
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from toolbox import update_ui
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from toolbox import CatchException, report_exception
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from toolbox import write_history_to_file, promote_file_to_downloadzone
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from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
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def 生成函数注释(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
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import time, os
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logger.info('begin analysis on:', file_manifest)
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for index, fp in enumerate(file_manifest):
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with open(fp, 'r', encoding='utf-8', errors='replace') as f:
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file_content = f.read()
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i_say = f'请对下面的程序文件做一个概述，并对文件中的所有函数生成注释，使用markdown表格输出结果，文件名是{os.path.relpath(fp, project_folder)}，文件内容是 ```{file_content}```'
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i_say_show_user = f'[{index+1}/{len(file_manifest)}] 请对下面的程序文件做一个概述，并对文件中的所有函数生成注释: {os.path.abspath(fp)}'
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chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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msg = '正常'
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# ** gpt request **
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gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
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i_say, i_say_show_user, llm_kwargs, chatbot, history=[], sys_prompt=system_prompt) # 带超时倒计时
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chatbot[-1] = (i_say_show_user, gpt_say)
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history.append(i_say_show_user); history.append(gpt_say)
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yield from update_ui(chatbot=chatbot, history=history, msg=msg) # 刷新界面
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time.sleep(2)
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res = write_history_to_file(history)
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promote_file_to_downloadzone(res, chatbot=chatbot)
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chatbot.append(("完成了吗？", res))
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yield from update_ui(chatbot=chatbot, history=history, msg=msg) # 刷新界面
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@CatchException
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def 批量生成函数注释(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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history = [] # 清空历史，以免输入溢出
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import glob, os
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if os.path.exists(txt):
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project_folder = txt
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else:
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if txt == "": txt = '空空如也的输入栏'
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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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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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.py', recursive=True)] + \
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[f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)]
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if len(file_manifest) == 0:
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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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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yield from 生成函数注释(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
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