from predict import predict_no_ui
from toolbox import CatchException, report_execption, write_results_to_file
fast_debug = False


def 生成函数注释(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()

        i_say = f'请对下面的程序文件做一个概述，并对文件中的所有函数生成注释，使用markdown表格输出结果，文件名是{os.path.relpath(fp, project_folder)}，文件内容是 ```{file_content}```'
        i_say_show_user = f'[{index}/{len(file_manifest)}] 请对下面的程序文件做一个概述，并对文件中的所有函数生成注释: {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)

    if not fast_debug: 
        res = write_results_to_file(history)
        chatbot.append(("完成了吗？", res))
        yield chatbot, history, msg



@CatchException
def 批量生成函数注释(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)] + \
                    [f for f in glob.glob(f'{project_folder}/**/*.cpp', 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.tex文件: {txt}")
        yield chatbot, history, '正常'
        return
    yield from 生成函数注释(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)