from predict import predict_no_ui from toolbox import CatchException, report_execption, write_results_to_file fast_debug = False @CatchException def 高阶功能模板函数(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT): history = [] # 清空历史，以免输入溢出 for i in range(5): i_say = f'我给出一个数字，你给出该数字的平方。我给出数字：{i}' chatbot.append((i_say, "[Local Message] waiting gpt response.")) yield chatbot, history, '正常' # 由于请求gpt需要一段时间，我们先及时地做一次状态显示 gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature) # 请求gpt，需要一段时间 chatbot[-1] = (i_say, gpt_say) history.append(i_say);history.append(gpt_say) yield chatbot, history, '正常' # 显示 @CatchException def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT): history = [] # 清空历史，以免输入溢出 import time, glob, os file_manifest = [f for f in glob.glob('*.py')] for index, fp in enumerate(file_manifest): with open(fp, 'r', encoding='utf-8') as f: file_content = f.read() 前言 = "接下来请你分析自己的程序构成，别紧张，" if index==0 else "" i_say = 前言 + f'请对下面的程序文件做一个概述文件名是{fp}，文件代码是 ```{file_content}```' i_say_show_user = 前言 + f'[{index}/{len(file_manifest)}] 请对下面的程序文件做一个概述: {os.path.abspath(fp)}' chatbot.append((i_say_show_user, "[Local Message] waiting gpt response.")) yield chatbot, history, '正常' if not fast_debug: # ** gpt request ** gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature) chatbot[-1] = (i_say_show_user, gpt_say) history.append(i_say_show_user); history.append(gpt_say) yield chatbot, history, '正常' time.sleep(2) i_say = f'根据以上你自己的分析，对程序的整体功能和构架做出概括。然后用一张markdown表格整理每个文件的功能（包括{file_manifest}）。' chatbot.append((i_say, "[Local Message] waiting gpt response.")) yield chatbot, history, '正常' if not fast_debug: # ** gpt request ** gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history) chatbot[-1] = (i_say, gpt_say) history.append(i_say); history.append(gpt_say) yield chatbot, history, '正常' def 解析源代码(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() 前言 = "接下来请你逐文件分析下面的工程" if index==0 else "" i_say = 前言 + f'请对下面的程序文件做一个概述文件名是{os.path.relpath(fp, project_folder)}，文件代码是 ```{file_content}```' i_say_show_user = 前言 + f'[{index}/{len(file_manifest)}] 请对下面的程序文件做一个概述: {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 = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature) 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) all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)]) i_say = f'根据以上你自己的分析，对程序的整体功能和构架做出概括。然后用一张markdown表格整理每个文件的功能（包括{all_file}）。' chatbot.append((i_say, "[Local Message] waiting gpt response.")) yield chatbot, history, '正常' if not fast_debug: msg = '正常' # ** gpt request ** while True: try: gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history) break except ConnectionAbortedError as e: history = [his[len(his)//2:] for his in history] msg = '对话历史太长，每段历史拦腰截断' chatbot[-1] = (i_say, gpt_say) history.append(i_say); history.append(gpt_say) yield chatbot, history, msg res = write_results_to_file(history) chatbot.append(("完成了吗？", res)) yield chatbot, history, msg @CatchException def 解析一个Python项目(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)] if len(file_manifest) == 0: report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何python文件: {txt}") yield chatbot, history, '正常' return yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt) @CatchException def 解析一个C项目的头文件(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}/**/*.h', recursive=True)] # + \ # [f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)] + \ # [f for f in glob.glob(f'{project_folder}/**/*.c', 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.h头文件: {txt}") yield chatbot, history, '正常' return yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt) def get_crazy_functionals(): from crazy_functions.读文章写摘要 import 读文章写摘要 from crazy_functions.生成函数注释 import 批量生成函数注释 return { "[实验功能] 请解析并解构此项目本身": { "Function": 解析项目本身 }, "[实验功能] 解析整个Python项目（input输入项目根路径）": { "Color": "stop", # 按钮颜色 "Function": 解析一个Python项目 }, "[实验功能] 解析整个C++项目的头文件（input输入项目根路径）": { "Color": "stop", # 按钮颜色 "Function": 解析一个C项目的头文件 }, "[实验功能] 解读latex论文写摘要（input输入项目根路径）": { "Color": "stop", # 按钮颜色 "Function": 读文章写摘要 }, "[实验功能] 批量生成函数注释（input输入项目根路径）": { "Color": "stop", # 按钮颜色 "Function": 批量生成函数注释 }, "[实验功能] 高阶功能模板函数": { "Color": "stop", # 按钮颜色 "Function": 高阶功能模板函数 }, }