设置及时响应
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				@ -4,11 +4,14 @@ 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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        chatbot.append((i_say, "[Local Message] waiting gpt response."))
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        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
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        gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature) # 请求gpt,需要一段时间
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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'  # 显示
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def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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@ -22,7 +25,7 @@ def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTx
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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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        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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@ -35,7 +38,7 @@ def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTx
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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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    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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@ -64,7 +67,7 @@ def 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot,
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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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        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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@ -89,7 +92,7 @@ def 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot,
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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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    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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@ -116,7 +119,7 @@ def 解析一个Python项目(txt, top_p, temperature, chatbot, history, systemPr
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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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        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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@ -134,14 +137,14 @@ def 解析一个C项目的头文件(txt, top_p, temperature, chatbot, history, s
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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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        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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                    # [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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        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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