from predict 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 ** while True: try: 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 break except ConnectionAbortedError as e: i_say = i_say[:len(i_say)//2] msg = '文件太长,进行了拦腰截断' 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)