functional_crazy.py

# """
# 'primary' for main call-to-action, 
# 'secondary' for a more subdued style, 
# 'stop' for a stop button.
# """

fast_debug = False

def 自我程序解构简单案例(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
    import time
    from predict import predict_no_ui_no_history
    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}'
        gpt_say = predict_no_ui_no_history(inputs=i_say, top_p=top_p, temperature=temperature)
        chatbot.append((i_say, gpt_say))
        history.append(i_say)
        history.append(gpt_say)
        yield chatbot, history, '正常'
        time.sleep(10)

def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
    import time, glob, os
    from predict import predict_no_ui
    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] 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] 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 report_execption(chatbot, history, a, b):
    chatbot.append((a, b))
    history.append(a); history.append(b)





def 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt):
    import time, glob, os
    from predict import predict_no_ui
    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] 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] 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



def 解析一个Python项目(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
    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: {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)



def 解析一个C项目的头文件(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
    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: {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/.cpp/.c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():
    return {
        "程序解构简单案例": {
            "Color": "stop",    # 按钮颜色
            "Function": 自我程序解构简单案例
        },
        "请解析并解构此项目本身": {
            "Color": "stop",    # 按钮颜色
            "Function": 解析项目本身
        },
        "解析一整个Python项目（输入栏给定项目完整目录）": {
            "Color": "stop",    # 按钮颜色
            "Function": 解析一个Python项目
        },
        "解析一整个C++项目的头文件（输入栏给定项目完整目录）": {
            "Color": "stop",    # 按钮颜色
            "Function": 解析一个C项目的头文件
        },

    }