173 lines
7.3 KiB
Python
173 lines
7.3 KiB
Python
from predict import predict_no_ui
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fast_debug = False
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def 高阶功能模板函数(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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for i in range(5):
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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}'
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gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature)
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chatbot.append((i_say, gpt_say))
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history.append(i_say)
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history.append(gpt_say)
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yield chatbot, history, '正常'
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def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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import time, glob, os
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file_manifest = [f for f in glob.glob('*.py')]
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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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前言 = "接下来请你分析自己的程序构成，别紧张，" if index==0 else ""
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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}```'
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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)}'
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chatbot.append((i_say_show_user, "[waiting gpt response]"))
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yield chatbot, history, '正常'
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if not fast_debug:
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# ** gpt request **
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gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature)
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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 chatbot, history, '正常'
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time.sleep(2)
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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}）。'
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chatbot.append((i_say, "[waiting gpt response]"))
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yield chatbot, history, '正常'
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if not fast_debug:
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# ** gpt request **
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gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
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chatbot[-1] = (i_say, gpt_say)
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history.append(i_say); history.append(gpt_say)
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yield chatbot, history, '正常'
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def report_execption(chatbot, history, a, b):
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chatbot.append((a, b))
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history.append(a); history.append(b)
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def 解析源代码(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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前言 = "接下来请你逐文件分析下面的工程" if index==0 else ""
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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}```'
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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)}'
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chatbot.append((i_say_show_user, "[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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all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)])
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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}）。'
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chatbot.append((i_say, "[waiting gpt response]"))
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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, history=history)
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break
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except ConnectionAbortedError as e:
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history = [his[len(his)//2:] for his in history]
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msg = '对话历史太长，每段历史拦腰截断'
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chatbot[-1] = (i_say, gpt_say)
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history.append(i_say); history.append(gpt_say)
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yield chatbot, history, msg
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def 解析一个Python项目(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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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: {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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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python文件: {txt}")
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yield chatbot, history, '正常'
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return
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yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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def 解析一个C项目的头文件(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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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: {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}/**/*.h', recursive=True)] # + \
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# [f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)] + \
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# [f for f in glob.glob(f'{project_folder}/**/*.c', 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.h/.cpp/.c文件: {txt}")
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yield chatbot, history, '正常'
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return
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yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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def get_crazy_functionals():
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return {
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"[实验功能] 请解析并解构此项目本身": {
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"Color": "stop", # 按钮颜色
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"Function": 解析项目本身
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},
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"[实验功能] 解析一整个Python项目（输入栏给定项目完整目录）": {
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"Color": "stop", # 按钮颜色
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"Function": 解析一个Python项目
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},
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"[实验功能] 解析一整个C++项目的头文件（输入栏给定项目完整目录）": {
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"Color": "stop", # 按钮颜色
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"Function": 解析一个C项目的头文件
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},
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"[实验功能] 高阶功能模板函数": {
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"Color": "stop", # 按钮颜色
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"Function": 高阶功能模板函数
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},
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}
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