镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 14:36:48 +00:00
64 行
2.9 KiB
Python
64 行
2.9 KiB
Python
from predict import predict_no_ui
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from toolbox import CatchException, report_execption, write_results_to_file
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fast_debug = False
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def 生成函数注释(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt):
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import time, glob, os
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print('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') 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}/{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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print('[1] yield chatbot, history')
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yield chatbot, history, '正常'
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if not fast_debug:
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msg = '正常'
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# ** gpt request **
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while True:
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try:
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gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature)
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break
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except ConnectionAbortedError as e:
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i_say = i_say[:len(i_say)//2]
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msg = '文件太长，进行了拦腰截断'
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print('[2] end gpt req')
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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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print('[3] yield chatbot, history')
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yield chatbot, history, msg
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print('[4] next')
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if not fast_debug: time.sleep(2)
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if not fast_debug:
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res = write_results_to_file(history)
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chatbot.append(("完成了吗？", res))
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yield chatbot, history, msg
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@CatchException
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def 批量生成函数注释(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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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_execption(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 chatbot, history, '正常'
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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_execption(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 chatbot, history, '正常'
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return
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yield from 生成函数注释(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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