gpt-academic111 / crazy_functions /生成函数注释.py
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from request_llm.bridge_chatgpt import predict_no_ui
from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down
fast_debug = False
def 生成函数注释(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt):
import time, glob, os
print('begin analysis on:', file_manifest)
for index, fp in enumerate(file_manifest):
with open(fp, 'r', encoding='utf-8') as f:
file_content = f.read()
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}```'
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)}'
chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
print('[1] yield chatbot, history')
yield chatbot, history, '正常'
if not fast_debug:
msg = '正常'
# ** gpt request **
gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[]) # 带超时倒计时
print('[2] end gpt req')
chatbot[-1] = (i_say_show_user, gpt_say)
history.append(i_say_show_user); history.append(gpt_say)
print('[3] yield chatbot, history')
yield chatbot, history, msg
print('[4] next')
if not fast_debug: time.sleep(2)
if not fast_debug:
res = write_results_to_file(history)
chatbot.append(("完成了吗?", res))
yield chatbot, history, msg
@CatchException
def 批量生成函数注释(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
history = [] # 清空历史,以免输入溢出
import glob, os
if os.path.exists(txt):
project_folder = txt
else:
if txt == "": txt = '空空如也的输入栏'
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}")
yield chatbot, history, '正常'
return
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.py', recursive=True)] + \
[f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)]
if len(file_manifest) == 0:
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
yield chatbot, history, '正常'
return
yield from 生成函数注释(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)