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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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chatbot.append((i_say, "[Local Message] waiting gpt response.")) |
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yield chatbot, history, '正常' |
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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, 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 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, "[Local Message] 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_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, "[Local Message] 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_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, "[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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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, "[Local Message] 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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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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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}/**/*.h', 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头文件: {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", |
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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", |
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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", |
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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", |
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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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