main.py

import logging, os
import threading
import schedule
import random
import asyncio, aiohttp
import traceback
import copy
import json, re

from functools import partial

import http.cookies
from typing import *

from flask import Flask, send_from_directory, render_template, request, jsonify
from flask_cors import CORS

# 按键监听语音聊天板块
import keyboard
import pyaudio
import wave
import numpy as np
import speech_recognition as sr
from aip import AipSpeech
import signal
import time

from utils.common import Common
from utils.config import Config
from utils.logger import Configure_logger
from utils.my_handle import My_handle

"""
	___ _                       
	|_ _| | ____ _ _ __ ___  ___ 
	 | || |/ / _` | '__/ _ \/ __|
	 | ||   < (_| | | | (_) \__ \
	|___|_|\_\__,_|_|  \___/|___/

"""

config = None
common = None
my_handle = None
last_liveroom_data = None
last_username_list = None
# 空闲时间计数器
global_idle_time = 0

# 配置文件路径
config_path = "config.json"


# 点火起飞
def start_server():
    global config, common, my_handle, last_username_list, config_path, last_liveroom_data
    global do_listen_and_comment_thread, stop_do_listen_and_comment_thread_event, faster_whisper_model


    # 按键监听相关
    do_listen_and_comment_thread = None
    stop_do_listen_and_comment_thread_event = threading.Event()
    # 冷却时间 0.5 秒
    cooldown = 0.5 
    last_pressed = 0

    # 获取 httpx 库的日志记录器
    httpx_logger = logging.getLogger("httpx")
    # 设置 httpx 日志记录器的级别为 WARNING
    httpx_logger.setLevel(logging.WARNING)

    # 最新的直播间数据
    last_liveroom_data = {
        'OnlineUserCount': 0, 
        'TotalUserCount': 0, 
        'TotalUserCountStr': '0', 
        'OnlineUserCountStr': '0', 
        'MsgId': 0, 
        'User': None, 
        'Content': '当前直播间人数 0，累计直播间人数 0', 
        'RoomId': 0
    }
    # 最新入场的用户名列表
    last_username_list = [""]

    my_handle = My_handle(config_path)
    if my_handle is None:
        logging.error("程序初始化失败！")
        os._exit(0)

    if platform != "wxlive":
        # HTTP API线程
        def http_api_thread():
            app = Flask(__name__, static_folder='./')
            CORS(app)  # 允许跨域请求

            logging.info("HTTP API线程已启动！")
            
            @app.route('/send', methods=['POST'])
            def send():
                global my_handle, config

                try:
                    try:
                        data_json = request.get_json()
                        logging.info(f"API收到数据：{data_json}")

                        if data_json["type"] in ["reread", "reread_top_priority"]:
                            my_handle.reread_handle(data_json, type=data_json["type"])
                        elif data_json["type"] == "comment":
                            my_handle.process_data(data_json, "comment")
                        elif data_json["type"] == "tuning":
                            my_handle.tuning_handle(data_json)
                        elif data_json["type"] == "gift":
                            my_handle.gift_handle(data_json)
                        elif data_json["type"] == "entrance":
                            my_handle.entrance_handle(data_json)

                        return jsonify({"code": 200, "message": "发送数据成功！"})
                    except Exception as e:
                        logging.error(f"发送数据失败！{e}")
                        return jsonify({"code": -1, "message": f"发送数据失败！{e}"})

                except Exception as e:
                    return jsonify({"code": -1, "message": f"发送数据失败！{e}"})
                
            @app.route('/llm', methods=['POST'])
            def llm():
                global my_handle, config

                try:
                    try:
                        data_json = request.get_json()
                        logging.info(f"API收到数据：{data_json}")

                        resp_content = my_handle.llm_handle(data_json["type"], data_json, webui_show=False)

                        return {"code": 200, "msg": "成功", "data": {"content": resp_content}}

                        # return jsonify({"code": 200, "message": "调用LLM成功！"})
                    except Exception as e:
                        logging.error(f"调用LLM失败！{e}")
                        return {"code": -1, "msg": f"调用LLM失败！{e}"}
                        return jsonify({"code": -1, "msg": f"调用LLM失败！{e}"})

                except Exception as e:
                    return jsonify({"code": -1, "message": f"发送数据失败！{e}"})
                
            app.run(host="0.0.0.0", port=config.get("api_port"), debug=False)
        
        # HTTP API线程并启动
        schedule_thread = threading.Thread(target=http_api_thread)
        schedule_thread.start()


    # 添加用户名到最新的用户名列表
    def add_username_to_last_username_list(data):
        """
            data(str): 用户名
        """
        global last_username_list

        # 添加数据到 最新入场的用户名列表
        last_username_list.append(data)
        
        # 保留最新的3个数据
        last_username_list = last_username_list[-3:]


    """
    按键监听板块
    """
    # 录音功能(录音时间过短进入openai的语音转文字会报错，请一定注意)
    def record_audio():
        pressdown_num = 0
        CHUNK = 1024
        FORMAT = pyaudio.paInt16
        CHANNELS = 1
        RATE = 44100
        WAVE_OUTPUT_FILENAME = "out/record.wav"
        p = pyaudio.PyAudio()
        stream = p.open(format=FORMAT,
                        channels=CHANNELS,
                        rate=RATE,
                        input=True,
                        frames_per_buffer=CHUNK)
        frames = []
        print("Recording...")
        flag = 0
        while 1:
            while keyboard.is_pressed('RIGHT_SHIFT'):
                flag = 1
                data = stream.read(CHUNK)
                frames.append(data)
                pressdown_num = pressdown_num + 1
            if flag:
                break
        print("Stopped recording.")
        stream.stop_stream()
        stream.close()
        p.terminate()
        wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
        wf.setnchannels(CHANNELS)
        wf.setsampwidth(p.get_sample_size(FORMAT))
        wf.setframerate(RATE)
        wf.writeframes(b''.join(frames))
        wf.close()
        if pressdown_num >= 5:         # 粗糙的处理手段
            return 1
        else:
            print("杂鱼杂鱼，好短好短(录音时间过短,按右shift重新录制)")
            return 0


    # THRESHOLD 设置音量阈值,默认值800.0,根据实际情况调整  silence_threshold 设置沉默阈值，根据实际情况调整
    def audio_listen(volume_threshold=800.0, silence_threshold=15):
        audio = pyaudio.PyAudio()

        # 设置音频参数
        FORMAT = pyaudio.paInt16
        CHANNELS = 1
        RATE = 16000
        CHUNK = 1024

        stream = audio.open(
            format=FORMAT,
            channels=CHANNELS,
            rate=RATE,
            input=True,
            frames_per_buffer=CHUNK,
            input_device_index=int(config.get("talk", "device_index"))
        )

        frames = []  # 存储录制的音频帧

        is_speaking = False  # 是否在说话
        silent_count = 0  # 沉默计数
        speaking_flag = False   #录入标志位 不重要

        while True:
            # 播放中不录音
            if config.get("talk", "no_recording_during_playback"):
                # 存在待合成音频 或 已合成音频还未播放 或 播放中 或 在数据处理中
                if my_handle.is_audio_queue_empty() != 15 or my_handle.is_handle_empty() == 1:
                    time.sleep(float(config.get("talk", "no_recording_during_playback_sleep_interval")))
                    continue
                
            # 读取音频数据
            data = stream.read(CHUNK)
            audio_data = np.frombuffer(data, dtype=np.short)
            max_dB = np.max(audio_data)
            # print(max_dB)
            if max_dB > volume_threshold:
                is_speaking = True
                silent_count = 0
            elif is_speaking is True:
                silent_count += 1

            if is_speaking is True:
                frames.append(data)
                if speaking_flag is False:
                    logging.info("[录入中……]")
                    speaking_flag = True

            if silent_count >= silence_threshold:
                break

        logging.info("[语音录入完成]")

        # 将音频保存为WAV文件
        '''with wave.open(WAVE_OUTPUT_FILENAME, 'wb') as wf:
            wf.setnchannels(CHANNELS)
            wf.setsampwidth(pyaudio.get_sample_size(FORMAT))
            wf.setframerate(RATE)
            wf.writeframes(b''.join(frames))'''
        return frames
    

    # 执行录音、识别&提交
    def do_listen_and_comment(status=True):
        global stop_do_listen_and_comment_thread_event, faster_whisper_model

        config = Config(config_path)

        # 是否启用按键监听，不启用的话就不用执行了
        if False == config.get("talk", "key_listener_enable"):
            return
        
        # 针对faster_whisper情况，模型加载一次共用，减少开销
        if "faster_whisper" == config.get("talk", "type") :
            from faster_whisper import WhisperModel
            
            if faster_whisper_model is None:
                logging.info("faster_whisper 模型加载中，请稍后...")
                # Run on GPU with FP16
                faster_whisper_model = WhisperModel(model_size_or_path=config.get("talk", "faster_whisper", "model_size"), \
                                    device=config.get("talk", "faster_whisper", "device"), \
                                    compute_type=config.get("talk", "faster_whisper", "compute_type"), \
                                    download_root=config.get("talk", "faster_whisper", "download_root"))
                logging.info("faster_whisper 模型加载完毕，可以开始说话了喵~")


        while True:
            try:
                # 检查是否收到停止事件
                if stop_do_listen_and_comment_thread_event.is_set():
                    logging.info(f'停止录音~')
                    break

                config = Config(config_path)
            
                # 根据接入的语音识别类型执行
                if "baidu" == config.get("talk", "type"):
                    # 设置音频参数
                    FORMAT = pyaudio.paInt16
                    CHANNELS = config.get("talk", "CHANNELS")
                    RATE = config.get("talk", "RATE")

                    audio_out_path = config.get("play_audio", "out_path")

                    if not os.path.isabs(audio_out_path):
                        if not audio_out_path.startswith('./'):
                            audio_out_path = './' + audio_out_path
                    file_name = 'baidu_' + common.get_bj_time(4) + '.wav'
                    WAVE_OUTPUT_FILENAME = common.get_new_audio_path(audio_out_path, file_name)
                    # WAVE_OUTPUT_FILENAME = './out/baidu_' + common.get_bj_time(4) + '.wav'

                    frames = audio_listen(config.get("talk", "volume_threshold"), config.get("talk", "silence_threshold"))

                    # 将音频保存为WAV文件
                    with wave.open(WAVE_OUTPUT_FILENAME, 'wb') as wf:
                        wf.setnchannels(CHANNELS)
                        wf.setsampwidth(pyaudio.get_sample_size(FORMAT))
                        wf.setframerate(RATE)
                        wf.writeframes(b''.join(frames))

                    # 读取音频文件
                    with open(WAVE_OUTPUT_FILENAME, 'rb') as fp:
                        audio = fp.read()

                    # 初始化 AipSpeech 对象
                    baidu_client = AipSpeech(config.get("talk", "baidu", "app_id"), config.get("talk", "baidu", "api_key"), config.get("talk", "baidu", "secret_key"))

                    # 识别音频文件
                    res = baidu_client.asr(audio, 'wav', 16000, {
                        'dev_pid': 1536,
                    })
                    if res['err_no'] == 0:
                        content = res['result'][0]

                        # 输出识别结果
                        logging.info("识别结果：" + content)
                        username = config.get("talk", "username")

                        data = {
                            "platform": "本地聊天",
                            "username": username,
                            "content": content
                        }

                        my_handle.process_data(data, "talk")
                    else:
                        logging.error(f"百度接口报错：{res}")  
                elif "google" == config.get("talk", "type"):
                    # 创建Recognizer对象
                    r = sr.Recognizer()

                    try:
                        # 打开麦克风进行录音
                        with sr.Microphone() as source:
                            logging.info(f'录音中...')
                            # 从麦克风获取音频数据
                            audio = r.listen(source)
                            logging.info("成功录制")

                            # 进行谷歌实时语音识别 en-US zh-CN ja-JP
                            content = r.recognize_google(audio, language=config.get("talk", "google", "tgt_lang"))

                            # 输出识别结果
                            # logging.info("识别结果：" + content)
                            username = config.get("talk", "username")

                            data = {
                                "platform": "本地聊天",
                                "username": username,
                                "content": content
                            }

                            my_handle.process_data(data, "talk")
                    except sr.UnknownValueError:
                        logging.warning("无法识别输入的语音")
                    except sr.RequestError as e:
                        logging.error("请求出错：" + str(e))
                elif "faster_whisper" == config.get("talk", "type"):
                    # 设置音频参数
                    FORMAT = pyaudio.paInt16
                    CHANNELS = config.get("talk", "CHANNELS")
                    RATE = config.get("talk", "RATE")

                    audio_out_path = config.get("play_audio", "out_path")

                    if not os.path.isabs(audio_out_path):
                        if not audio_out_path.startswith('./'):
                            audio_out_path = './' + audio_out_path
                    file_name = 'faster_whisper_' + common.get_bj_time(4) + '.wav'
                    WAVE_OUTPUT_FILENAME = common.get_new_audio_path(audio_out_path, file_name)
                    # WAVE_OUTPUT_FILENAME = './out/faster_whisper_' + common.get_bj_time(4) + '.wav'

                    frames = audio_listen(config.get("talk", "volume_threshold"), config.get("talk", "silence_threshold"))

                    # 将音频保存为WAV文件
                    with wave.open(WAVE_OUTPUT_FILENAME, 'wb') as wf:
                        wf.setnchannels(CHANNELS)
                        wf.setsampwidth(pyaudio.get_sample_size(FORMAT))
                        wf.setframerate(RATE)
                        wf.writeframes(b''.join(frames))

                    logging.debug("faster_whisper模型加载中...")

                    segments, info = faster_whisper_model.transcribe(WAVE_OUTPUT_FILENAME, beam_size=config.get("talk", "faster_whisper", "beam_size"))

                    logging.debug("识别语言为：'%s'，概率：%f" % (info.language, info.language_probability))

                    content = ""
                    for segment in segments:
                        logging.info("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
                        content += segment.text + "。"
                    
                    if content == "":
                        return

                    # 输出识别结果
                    logging.info("识别结果：" + content)
                    username = config.get("talk", "username")

                    data = {
                        "platform": "本地聊天",
                        "username": username,
                        "content": content
                    }

                    my_handle.process_data(data, "talk")

                if not status:
                    return
            except Exception as e:
                logging.error(traceback.format_exc())


    def on_key_press(event):
        global do_listen_and_comment_thread, stop_do_listen_and_comment_thread_event

        # 是否启用按键监听，不启用的话就不用执行了
        if False == config.get("talk", "key_listener_enable"):
            return

        # if event.name in ['z', 'Z', 'c', 'C'] and keyboard.is_pressed('ctrl'):
            # print("退出程序")

            # os._exit(0)
        
        # 按键CD
        current_time = time.time()
        if current_time - last_pressed < cooldown:
            return
        

        """
        触发按键部分的判断
        """
        trigger_key_lower = None
        stop_trigger_key_lower = None

        # trigger_key是字母, 整个小写
        if trigger_key.isalpha():
            trigger_key_lower = trigger_key.lower()

        # stop_trigger_key是字母, 整个小写
        if stop_trigger_key.isalpha():
            stop_trigger_key_lower = stop_trigger_key.lower()
        
        if trigger_key_lower:
            if event.name == trigger_key or event.name == trigger_key_lower:
                logging.info(f'检测到单击键盘 {event.name}，即将开始录音~')
            elif event.name == stop_trigger_key or event.name == stop_trigger_key_lower:
                logging.info(f'检测到单击键盘 {event.name}，即将停止录音~')
                stop_do_listen_and_comment_thread_event.set()
                return
            else:
                return
        else:
            if event.name == trigger_key:
                logging.info(f'检测到单击键盘 {event.name}，即将开始录音~')
            elif event.name == stop_trigger_key:
                logging.info(f'检测到单击键盘 {event.name}，即将停止录音~')
                stop_do_listen_and_comment_thread_event.set()
                return
            else:
                return

        # 是否启用连续对话模式
        if config.get("talk", "continuous_talk"):
            stop_do_listen_and_comment_thread_event.clear()
            do_listen_and_comment_thread = threading.Thread(target=do_listen_and_comment, args=(True,))
            do_listen_and_comment_thread.start()
        else:
            stop_do_listen_and_comment_thread_event.clear()
            do_listen_and_comment_thread = threading.Thread(target=do_listen_and_comment, args=(False,))
            do_listen_and_comment_thread.start()


    # 按键监听
    def key_listener():
        # 注册按键按下事件的回调函数
        keyboard.on_press(on_key_press)

        try:
            # 进入监听状态，等待按键按下
            keyboard.wait()
        except KeyboardInterrupt:
            os._exit(0)


    # 从配置文件中读取触发键的字符串配置
    trigger_key = config.get("talk", "trigger_key")
    stop_trigger_key = config.get("talk", "stop_trigger_key")

    if config.get("talk", "key_listener_enable"):
        logging.info(f'单击键盘 {trigger_key} 按键进行录音喵~ 由于其他任务还要启动，如果按键没有反应，请等待一段时间')

    # 创建并启动按键监听线程
    thread = threading.Thread(target=key_listener)
    thread.start()


    # 定时任务
    def schedule_task(index):
        global config, common, my_handle, last_liveroom_data, last_username_list

        logging.debug("定时任务执行中...")
        hour, min = common.get_bj_time(6)

        if 0 <= hour and hour < 6:
            time = f"凌晨{hour}点{min}分"
        elif 6 <= hour and hour < 9:
            time = f"早晨{hour}点{min}分"
        elif 9 <= hour and hour < 12:
            time = f"上午{hour}点{min}分"
        elif hour == 12:
            time = f"中午{hour}点{min}分"
        elif 13 <= hour and hour < 18:
            time = f"下午{hour - 12}点{min}分"
        elif 18 <= hour and hour < 20:
            time = f"傍晚{hour - 12}点{min}分"
        elif 20 <= hour and hour < 24:
            time = f"晚上{hour - 12}点{min}分"


        # 根据对应索引从列表中随机获取一个值
        random_copy = random.choice(config.get("schedule")[index]["copy"])

        # 假设有多个未知变量，用户可以在此处定义动态变量
        variables = {
            'time': time,
            'user_num': "N",
            'last_username': last_username_list[-1],
        }

        # 有用户数据情况的平台特殊处理
        if platform in ["dy", "tiktok"]:
            variables['user_num'] = last_liveroom_data["OnlineUserCount"]

        # 使用字典进行字符串替换
        if any(var in random_copy for var in variables):
            content = random_copy.format(**{var: value for var, value in variables.items() if var in random_copy})
        else:
            content = random_copy

        content = common.brackets_text_randomize(content)

        data = {
            "platform": platform,
            "username": None,
            "content": content
        }

        logging.info(f"定时任务：{content}")

        my_handle.process_data(data, "schedule")

        # schedule.clear(index)


    # 启动定时任务
    def run_schedule():
        global config

        try:
            for index, task in enumerate(config.get("schedule")):
                if task["enable"]:
                    # logging.info(task)
                    min_seconds = int(task["time_min"])
                    max_seconds = int(task["time_max"])

                    def schedule_random_task(index, min_seconds, max_seconds):
                        schedule.clear(index)
                        # 在min_seconds和max_seconds之间随机选择下一次任务执行的时间
                        next_time = random.randint(min_seconds, max_seconds)
                        # print(f"Next task {index} scheduled in {next_time} seconds at {time.ctime()}")

                        schedule_task(index)

                        schedule.every(next_time).seconds.do(schedule_random_task, index, min_seconds, max_seconds).tag(index)

                    schedule_random_task(index, min_seconds, max_seconds)
        except Exception as e:
            logging.error(traceback.format_exc())

        while True:
            schedule.run_pending()
            # time.sleep(1)  # 控制每次循环的间隔时间，避免过多占用 CPU 资源


    if any(item['enable'] for item in config.get("schedule")):
        # 创建定时任务子线程并启动
        schedule_thread = threading.Thread(target=run_schedule)
        schedule_thread.start()


    # 启动动态文案
    async def run_trends_copywriting():
        global config

        try:
            if False == config.get("trends_copywriting", "enable"):
                return
            
            logging.info(f"动态文案任务线程运行中...")

            while True:
                # 文案文件路径列表
                copywriting_file_path_list = []

                # 获取动态文案列表
                for copywriting in config.get("trends_copywriting", "copywriting"):
                    # 获取文件夹内所有文件的文件绝对路径，包括文件扩展名
                    for tmp in common.get_all_file_paths(copywriting["folder_path"]):
                        copywriting_file_path_list.append(tmp)

                    # 是否开启随机播放
                    if config.get("trends_copywriting", "random_play"):
                        random.shuffle(copywriting_file_path_list)

                    logging.debug(f"copywriting_file_path_list={copywriting_file_path_list}")

                    # 遍历文案文件路径列表  
                    for copywriting_file_path in copywriting_file_path_list:
                        # 获取文案文件内容
                        copywriting_file_content = common.read_file_return_content(copywriting_file_path)
                        # 是否启用提示词对文案内容进行转换
                        if copywriting["prompt_change_enable"]:
                            data_json = {
                                "username": "trends_copywriting",
                                "content": copywriting["prompt_change_content"] + copywriting_file_content
                            }

                            # 调用函数进行LLM处理，以及生成回复内容，进行音频合成，需要好好考虑考虑实现
                            data_json["content"] = my_handle.llm_handle(config.get("trends_copywriting", "llm_type"), data_json)
                        else:
                            copywriting_file_content = common.brackets_text_randomize(copywriting_file_content)

                            data_json = {
                                "username": "trends_copywriting",
                                "content": copywriting_file_content
                            }

                        logging.debug(f'copywriting_file_content={copywriting_file_content},content={data_json["content"]}')

                        # 空数据判断
                        if data_json["content"] != None and data_json["content"] != "":
                            # 发给直接复读进行处理
                            my_handle.reread_handle(data_json, filter=True, type="trends_copywriting")

                            await asyncio.sleep(config.get("trends_copywriting", "play_interval"))
        except Exception as e:
            logging.error(traceback.format_exc())

    if config.get("trends_copywriting", "enable"):
        # 创建动态文案子线程并启动
        threading.Thread(target=lambda: asyncio.run(run_trends_copywriting())).start()

    # 闲时任务
    async def idle_time_task():
        global config, global_idle_time, common

        try:
            if False == config.get("idle_time_task", "enable"):
                return
            
            logging.info(f"闲时任务线程运行中...")

            # 记录上一次触发的任务类型
            last_mode = 0
            copywriting_copy_list = None
            comment_copy_list = None
            local_audio_path_list = None

            overflow_time_min = int(config.get("idle_time_task", "idle_time_min"))
            overflow_time_max = int(config.get("idle_time_task", "idle_time_max"))
            overflow_time = random.randint(overflow_time_min, overflow_time_max)
            
            logging.info(f"下一个闲时任务将在{overflow_time}秒后执行")

            def load_data_list(type):
                if type == "copywriting":
                    tmp = config.get("idle_time_task", "copywriting", "copy")
                elif type == "comment":
                    tmp = config.get("idle_time_task", "comment", "copy")
                elif type == "local_audio":
                    tmp = config.get("idle_time_task", "local_audio", "path")
                tmp2 = copy.copy(tmp)
                return tmp2

            # 加载数据到list
            copywriting_copy_list = load_data_list("copywriting")
            comment_copy_list = load_data_list("comment")
            local_audio_path_list = load_data_list("local_audio")

            logging.debug(f"copywriting_copy_list={copywriting_copy_list}")
            logging.debug(f"comment_copy_list={comment_copy_list}")
            logging.debug(f"local_audio_path_list={local_audio_path_list}")

            while True:
                # 每隔一秒的睡眠进行闲时计数
                await asyncio.sleep(1)
                global_idle_time = global_idle_time + 1

                # 闲时计数达到指定值，进行闲时任务处理
                if global_idle_time >= overflow_time:
                    # 闲时计数清零
                    global_idle_time = 0

                    # 闲时任务处理
                    if config.get("idle_time_task", "copywriting", "enable"):
                        if last_mode == 0:
                            # 是否开启了随机触发
                            if config.get("idle_time_task", "copywriting", "random"):
                                logging.debug("切换到文案触发模式")
                                if copywriting_copy_list != []:
                                    # 随机打乱列表中的元素
                                    random.shuffle(copywriting_copy_list)
                                    copywriting_copy = copywriting_copy_list.pop(0)
                                else:
                                    # 刷新list数据
                                    copywriting_copy_list = load_data_list("copywriting")
                                    # 随机打乱列表中的元素
                                    random.shuffle(copywriting_copy_list)
                                    copywriting_copy = copywriting_copy_list.pop(0)
                            else:
                                if copywriting_copy_list != []:
                                    copywriting_copy = copywriting_copy_list.pop(0)
                                else:
                                    # 刷新list数据
                                    copywriting_copy_list = load_data_list("copywriting")
                                    copywriting_copy = copywriting_copy_list.pop(0)

                            hour, min = common.get_bj_time(6)

                            if 0 <= hour and hour < 6:
                                time = f"凌晨{hour}点{min}分"
                            elif 6 <= hour and hour < 9:
                                time = f"早晨{hour}点{min}分"
                            elif 9 <= hour and hour < 12:
                                time = f"上午{hour}点{min}分"
                            elif hour == 12:
                                time = f"中午{hour}点{min}分"
                            elif 13 <= hour and hour < 18:
                                time = f"下午{hour - 12}点{min}分"
                            elif 18 <= hour and hour < 20:
                                time = f"傍晚{hour - 12}点{min}分"
                            elif 20 <= hour and hour < 24:
                                time = f"晚上{hour - 12}点{min}分"
                                
                            # 动态变量替换
                            # 假设有多个未知变量，用户可以在此处定义动态变量
                            variables = {
                                'time': time,
                                'user_num': "N",
                                'last_username': last_username_list[-1],
                            }

                            # 有用户数据情况的平台特殊处理
                            if platform in ["dy", "tiktok"]:
                                variables['user_num'] = last_liveroom_data["OnlineUserCount"]

                            # 使用字典进行字符串替换
                            if any(var in copywriting_copy for var in variables):
                                copywriting_copy = copywriting_copy.format(**{var: value for var, value in variables.items() if var in copywriting_copy})
                            
                            # [1|2]括号语法随机获取一个值，返回取值完成后的字符串
                            copywriting_copy = common.brackets_text_randomize(copywriting_copy)

                            # 发送给处理函数
                            data = {
                                "platform": platform,
                                "username": "闲时任务-文案模式",
                                "type": "reread",
                                "content": copywriting_copy
                            }

                            my_handle.process_data(data, "idle_time_task")

                            # 模式切换
                            last_mode = 1

                            overflow_time = random.randint(overflow_time_min, overflow_time_max)
                            logging.info(f"下一个闲时任务将在{overflow_time}秒后执行")

                            continue
                    else:
                        last_mode = 1

                    if config.get("idle_time_task", "comment", "enable"):
                        if last_mode == 1:
                            # 是否开启了随机触发
                            if config.get("idle_time_task", "comment", "random"):
                                logging.debug("切换到弹幕触发LLM模式")
                                if comment_copy_list != []:
                                    # 随机打乱列表中的元素
                                    random.shuffle(comment_copy_list)
                                    comment_copy = comment_copy_list.pop(0)
                                else:
                                    # 刷新list数据
                                    comment_copy_list = load_data_list("comment")
                                    # 随机打乱列表中的元素
                                    random.shuffle(comment_copy_list)
                                    comment_copy = comment_copy_list.pop(0)
                            else:
                                if comment_copy_list != []:
                                    comment_copy = comment_copy_list.pop(0)
                                else:
                                    # 刷新list数据
                                    comment_copy_list = load_data_list("comment")
                                    comment_copy = comment_copy_list.pop(0)

                            hour, min = common.get_bj_time(6)

                            if 0 <= hour and hour < 6:
                                time = f"凌晨{hour}点{min}分"
                            elif 6 <= hour and hour < 9:
                                time = f"早晨{hour}点{min}分"
                            elif 9 <= hour and hour < 12:
                                time = f"上午{hour}点{min}分"
                            elif hour == 12:
                                time = f"中午{hour}点{min}分"
                            elif 13 <= hour and hour < 18:
                                time = f"下午{hour - 12}点{min}分"
                            elif 18 <= hour and hour < 20:
                                time = f"傍晚{hour - 12}点{min}分"
                            elif 20 <= hour and hour < 24:
                                time = f"晚上{hour - 12}点{min}分"
                                
                            # 动态变量替换
                            # 假设有多个未知变量，用户可以在此处定义动态变量
                            variables = {
                                'time': time,
                                'user_num': "N",
                                'last_username': last_username_list[-1],
                            }

                            # 有用户数据情况的平台特殊处理
                            if platform in ["dy", "tiktok"]:
                                variables['user_num'] = last_liveroom_data["OnlineUserCount"]

                            # 使用字典进行字符串替换
                            if any(var in comment_copy for var in variables):
                                comment_copy = comment_copy.format(**{var: value for var, value in variables.items() if var in comment_copy})
                            
                            # [1|2]括号语法随机获取一个值，返回取值完成后的字符串
                            comment_copy = common.brackets_text_randomize(comment_copy)

                            # 发送给处理函数
                            data = {
                                "platform": platform,
                                "username": "闲时任务-弹幕触发LLM模式",
                                "type": "comment",
                                "content": comment_copy
                            }

                            my_handle.process_data(data, "idle_time_task")

                            # 模式切换
                            last_mode = 2

                            overflow_time = random.randint(overflow_time_min, overflow_time_max)
                            logging.info(f"下一个闲时任务将在{overflow_time}秒后执行")

                            continue
                    else:
                        last_mode = 2

                    if config.get("idle_time_task", "local_audio", "enable"):
                        if last_mode == 2:
                            logging.debug("切换到本地音频模式")

                            # 是否开启了随机触发
                            if config.get("idle_time_task", "local_audio", "random"):
                                if local_audio_path_list != []:
                                    # 随机打乱列表中的元素
                                    random.shuffle(local_audio_path_list)
                                    local_audio_path = local_audio_path_list.pop(0)
                                else:
                                    # 刷新list数据
                                    local_audio_path_list = load_data_list("local_audio")
                                    # 随机打乱列表中的元素
                                    random.shuffle(local_audio_path_list)
                                    local_audio_path = local_audio_path_list.pop(0)
                            else:
                                if local_audio_path_list != []:
                                    local_audio_path = local_audio_path_list.pop(0)
                                else:
                                    # 刷新list数据
                                    local_audio_path_list = load_data_list("local_audio")
                                    local_audio_path = local_audio_path_list.pop(0)

                            logging.debug(f"local_audio_path={local_audio_path}")

                            # 发送给处理函数
                            data = {
                                "platform": platform,
                                "username": "闲时任务-本地音频模式",
                                "type": "local_audio",
                                "content": common.extract_filename(local_audio_path, False),
                                "file_path": local_audio_path
                            }

                            my_handle.process_data(data, "idle_time_task")

                            # 模式切换
                            last_mode = 0

                            overflow_time = random.randint(overflow_time_min, overflow_time_max)
                            logging.info(f"下一个闲时任务将在{overflow_time}秒后执行")

                            continue
                    else:
                        last_mode = 0
        except Exception as e:
            logging.error(traceback.format_exc())

    if config.get("idle_time_task", "enable"):
        # 创建闲时任务子线程并启动
        threading.Thread(target=lambda: asyncio.run(idle_time_task())).start()

    # 闲时任务计时自动清零
    def idle_time_auto_clear(type: str):
        """闲时任务计时自动清零

        Args:
            type (str): 消息类型（comment/gift/entrance等）

        Returns:
            bool: 是否清零的结果
        """
        global config, global_idle_time

        # 触发的类型列表
        type_list = config.get("idle_time_task", "trigger_type")
        if type in type_list:
            global_idle_time = 0

            return True
        
        return False


    # 图像识别 定时任务
    def image_recognition_schedule_task(type: str):
        global config, common, my_handle

        logging.debug(f"图像识别-{type} 定时任务执行中...")

        data = {
            "platform": platform,
            "username": None,
            "content": "",
            "type": type
        }

        logging.info(f"图像识别-{type} 定时任务触发")

        my_handle.process_data(data, "image_recognition_schedule")


    # 启动图像识别 定时任务
    def run_image_recognition_schedule(interval: int, type: str):
        global config

        try:
            schedule.every(interval).seconds.do(partial(image_recognition_schedule_task, type))
        except Exception as e:
            logging.error(traceback.format_exc())

        while True:
            schedule.run_pending()
            # time.sleep(1)  # 控制每次循环的间隔时间，避免过多占用 CPU 资源


    if config.get("image_recognition", "loop_screenshot_enable"):
        # 创建定时任务子线程并启动
        image_recognition_schedule_thread = threading.Thread(target=lambda: run_image_recognition_schedule(config.get("image_recognition", "loop_screenshot_delay"), "窗口截图"))
        image_recognition_schedule_thread.start()

    if config.get("image_recognition", "loop_cam_screenshot_enable"):
        # 创建定时任务子线程并启动
        image_recognition_cam_schedule_thread = threading.Thread(target=lambda: run_image_recognition_schedule(config.get("image_recognition", "loop_cam_screenshot_delay"), "摄像头截图"))
        image_recognition_cam_schedule_thread.start()


    logging.info(f"当前平台：{platform}")

    if platform == "bilibili":
        from bilibili_api import Credential, live, sync, login

        try:
            if config.get("bilibili", "login_type") == "cookie":
                logging.info("b站登录后F12抓网络包获取cookie，强烈建议使用小号！有封号风险")
                logging.info("b站登录后，F12控制台，输入 window.localStorage.ac_time_value 回车获取(如果没有，请重新登录)")

                bilibili_cookie = config.get("bilibili", "cookie")
                bilibili_ac_time_value = config.get("bilibili", "ac_time_value")
                if bilibili_ac_time_value == "":
                    bilibili_ac_time_value = None

                # print(f'SESSDATA={common.parse_cookie_data(bilibili_cookie, "SESSDATA")}')
                # print(f'bili_jct={common.parse_cookie_data(bilibili_cookie, "bili_jct")}')
                # print(f'buvid3={common.parse_cookie_data(bilibili_cookie, "buvid3")}')
                # print(f'DedeUserID={common.parse_cookie_data(bilibili_cookie, "DedeUserID")}')

                # 生成一个 Credential 对象
                credential = Credential(
                    sessdata=common.parse_cookie_data(bilibili_cookie, "SESSDATA"), 
                    bili_jct=common.parse_cookie_data(bilibili_cookie, "bili_jct"), 
                    buvid3=common.parse_cookie_data(bilibili_cookie, "buvid3"), 
                    dedeuserid=common.parse_cookie_data(bilibili_cookie, "DedeUserID"), 
                    ac_time_value=bilibili_ac_time_value
                )
            elif config.get("bilibili", "login_type") == "手机扫码":
                credential = login.login_with_qrcode()
            elif config.get("bilibili", "login_type") == "手机扫码-终端":
                credential = login.login_with_qrcode_term()
            elif config.get("bilibili", "login_type") == "账号密码登录":
                bilibili_username = config.get("bilibili", "username")
                bilibili_password = config.get("bilibili", "password")

                credential = login.login_with_password(bilibili_username, bilibili_password)
            elif config.get("bilibili", "login_type") == "不登录":
                credential = None
            else:
                credential = login.login_with_qrcode()

            # 初始化 Bilibili 直播间
            room = live.LiveDanmaku(my_handle.get_room_id(), credential=credential)
        except Exception as e:
            logging.error(traceback.format_exc())
            my_handle.abnormal_alarm_handle("platform")
            # os._exit(0)

        """
        DANMU_MSG: 用户发送弹幕
        SEND_GIFT: 礼物
        COMBO_SEND：礼物连击
        GUARD_BUY：续费大航海
        SUPER_CHAT_MESSAGE：醒目留言（SC）
        SUPER_CHAT_MESSAGE_JPN：醒目留言（带日语翻译？）
        WELCOME: 老爷进入房间
        WELCOME_GUARD: 房管进入房间
        NOTICE_MSG: 系统通知（全频道广播之类的）
        PREPARING: 直播准备中
        LIVE: 直播开始
        ROOM_REAL_TIME_MESSAGE_UPDATE: 粉丝数等更新
        ENTRY_EFFECT: 进场特效
        ROOM_RANK: 房间排名更新
        INTERACT_WORD: 用户进入直播间
        ACTIVITY_BANNER_UPDATE_V2: 好像是房间名旁边那个xx小时榜
        本模块自定义事件：
        VIEW: 直播间人气更新
        ALL: 所有事件
        DISCONNECT: 断开连接（传入连接状态码参数）
        TIMEOUT: 心跳响应超时
        VERIFICATION_SUCCESSFUL: 认证成功
        """

        @room.on('DANMU_MSG')
        async def _(event):
            """
            处理直播间弹幕事件
            :param event: 弹幕事件数据
            """

            # 闲时计数清零
            idle_time_auto_clear("comment")
        
            content = event["data"]["info"][1]  # 获取弹幕内容
            username = event["data"]["info"][2][1]  # 获取发送弹幕的用户昵称

            logging.info(f"[{username}]: {content}")

            data = {
                "platform": platform,
                "username": username,
                "content": content
            }

            my_handle.process_data(data, "comment")

        @room.on('COMBO_SEND')
        async def _(event):
            """
            处理直播间礼物连击事件
            :param event: 礼物连击事件数据
            """
            idle_time_auto_clear("gift")

            gift_name = event["data"]["data"]["gift_name"]
            username = event["data"]["data"]["uname"]
            # 礼物数量
            combo_num = event["data"]["data"]["combo_num"]
            # 总金额
            combo_total_coin = event["data"]["data"]["combo_total_coin"]

            logging.info(f"用户：{username} 赠送 {combo_num} 个 {gift_name}，总计 {combo_total_coin}电池")

            data = {
                "platform": platform,
                "gift_name": gift_name,
                "username": username,
                "num": combo_num,
                "unit_price": combo_total_coin / combo_num / 1000,
                "total_price": combo_total_coin / 1000
            }

            my_handle.process_data(data, "gift")

        @room.on('SEND_GIFT')
        async def _(event):
            """
            处理直播间礼物事件
            :param event: 礼物事件数据
            """
            idle_time_auto_clear("gift")

            # print(event)

            gift_name = event["data"]["data"]["giftName"]
            username = event["data"]["data"]["uname"]
            # 礼物数量
            num = event["data"]["data"]["num"]
            # 总金额
            combo_total_coin = event["data"]["data"]["combo_total_coin"]
            # 单个礼物金额
            discount_price = event["data"]["data"]["discount_price"]

            logging.info(f"用户：{username} 赠送 {num} 个 {gift_name}，单价 {discount_price}电池，总计 {combo_total_coin}电池")

            data = {
                "platform": platform,
                "gift_name": gift_name,
                "username": username,
                "num": num,
                "unit_price": discount_price / 1000,
                "total_price": combo_total_coin / 1000
            }

            my_handle.process_data(data, "gift")

        @room.on('GUARD_BUY')
        async def _(event):
            """
            处理直播间续费大航海事件
            :param event: 续费大航海事件数据
            """

            logging.info(event)

        @room.on('SUPER_CHAT_MESSAGE')
        async def _(event):
            """
            处理直播间醒目留言（SC）事件
            :param event: 醒目留言（SC）事件数据
            """
            idle_time_auto_clear("gift")

            message = event["data"]["data"]["message"]
            uname = event["data"]["data"]["user_info"]["uname"]
            price = event["data"]["data"]["price"]

            logging.info(f"用户：{uname} 发送 {price}元 SC：{message}")

            data = {
                "platform": platform,
                "gift_name": "SC",
                "username": uname,
                "num": 1,
                "unit_price": price,
                "total_price": price,
                "content": message
            }

            my_handle.process_data(data, "gift")

            my_handle.process_data(data, "comment")
            

        @room.on('INTERACT_WORD')
        async def _(event):
            """
            处理直播间用户进入直播间事件
            :param event: 用户进入直播间事件数据
            """
            global last_username_list

            idle_time_auto_clear("entrance")

            username = event["data"]["data"]["uname"]

            logging.info(f"用户：{username} 进入直播间")

            # 添加用户名到最新的用户名列表
            add_username_to_last_username_list(username)

            data = {
                "platform": platform,
                "username": username,
                "content": "进入直播间"
            }

            my_handle.process_data(data, "entrance")

        # @room.on('WELCOME')
        # async def _(event):
        #     """
        #     处理直播间老爷进入房间事件
        #     :param event: 老爷进入房间事件数据
        #     """

        #     print(event)

        # @room.on('WELCOME_GUARD')
        # async def _(event):
        #     """
        #     处理直播间房管进入房间事件
        #     :param event: 房管进入房间事件数据
        #     """

        #     print(event)


        try:
            # 启动 Bilibili 直播间连接
            sync(room.connect())
        except KeyboardInterrupt:
            logging.warning('程序被强行退出')
        finally:
            logging.warning('关闭连接...可能是直播间号配置有误或者其他原因导致的')
            os._exit(0)
    elif platform == "bilibili2":
        import blivedm
        import blivedm.models.web as web_models
        import blivedm.models.open_live as open_models

        global SESSDATA

        # 直播间ID的取值看直播间URL
        TEST_ROOM_IDS = [my_handle.get_room_id()]

        try:
            if config.get("bilibili", "login_type") == "cookie":
                bilibili_cookie = config.get("bilibili", "cookie")
                SESSDATA = common.parse_cookie_data(bilibili_cookie, "SESSDATA")
            elif config.get("bilibili", "login_type") == "open_live":
                # 在开放平台申请的开发者密钥 https://open-live.bilibili.com/open-manage
                ACCESS_KEY_ID = config.get("bilibili", "open_live", "ACCESS_KEY_ID")
                ACCESS_KEY_SECRET = config.get("bilibili", "open_live", "ACCESS_KEY_SECRET")
                # 在开放平台创建的项目ID
                APP_ID = config.get("bilibili", "open_live", "APP_ID")
                # 主播身份码 直播中心获取
                ROOM_OWNER_AUTH_CODE = config.get("bilibili", "open_live", "ROOM_OWNER_AUTH_CODE")

        except Exception as e:
            logging.error(traceback.format_exc())
            my_handle.abnormal_alarm_handle("platform")

        async def main_func():
            global session

            if config.get("bilibili", "login_type") == "open_live":
                await run_single_client2()
            else:
                try:
                    init_session()

                    await run_single_client()
                    await run_multi_clients()
                finally:
                    await session.close()


        def init_session():
            global session, SESSDATA

            cookies = http.cookies.SimpleCookie()
            cookies['SESSDATA'] = SESSDATA
            cookies['SESSDATA']['domain'] = 'bilibili.com'

            # logging.info(f"SESSDATA={SESSDATA}")

            session = aiohttp.ClientSession()
            session.cookie_jar.update_cookies(cookies)


        async def run_single_client():
            """
            演示监听一个直播间
            """
            global session

            room_id = random.choice(TEST_ROOM_IDS)
            client = blivedm.BLiveClient(room_id, session=session)
            handler = MyHandler()
            client.set_handler(handler)

            client.start()
            try:
                # 演示5秒后停止
                await asyncio.sleep(5)
                client.stop()

                await client.join()
            finally:
                await client.stop_and_close()

        async def run_single_client2():
            """
            演示监听一个直播间 开放平台
            """
            client = blivedm.OpenLiveClient(
                access_key_id=ACCESS_KEY_ID,
                access_key_secret=ACCESS_KEY_SECRET,
                app_id=APP_ID,
                room_owner_auth_code=ROOM_OWNER_AUTH_CODE,
            )
            handler = MyHandler2()
            client.set_handler(handler)

            client.start()
            try:
                # 演示70秒后停止
                # await asyncio.sleep(70)
                # client.stop()

                await client.join()
            finally:
                await client.stop_and_close()

        async def run_multi_clients():
            """
            演示同时监听多个直播间
            """
            global session

            clients = [blivedm.BLiveClient(room_id, session=session) for room_id in TEST_ROOM_IDS]
            handler = MyHandler()
            for client in clients:
                client.set_handler(handler)
                client.start()

            try:
                await asyncio.gather(*(
                    client.join() for client in clients
                ))
            finally:
                await asyncio.gather(*(
                    client.stop_and_close() for client in clients
                ))


        class MyHandler(blivedm.BaseHandler):
            # 演示如何添加自定义回调
            _CMD_CALLBACK_DICT = blivedm.BaseHandler._CMD_CALLBACK_DICT.copy()
            
            # 入场消息回调
            def __interact_word_callback(self, client: blivedm.BLiveClient, command: dict):
                # logging.info(f"[{client.room_id}] INTERACT_WORD: self_type={type(self).__name__}, room_id={client.room_id},"
                #     f" uname={command['data']['uname']}")
                
                global last_username_list

                idle_time_auto_clear("entrance")

                username = command['data']['uname']

                logging.info(f"用户：{username} 进入直播间")

                # 添加用户名到最新的用户名列表
                add_username_to_last_username_list(username)

                data = {
                    "platform": platform,
                    "username": username,
                    "content": "进入直播间"
                }

                my_handle.process_data(data, "entrance")

            _CMD_CALLBACK_DICT['INTERACT_WORD'] = __interact_word_callback  # noqa

            def _on_heartbeat(self, client: blivedm.BLiveClient, message: web_models.HeartbeatMessage):
                logging.debug(f'[{client.room_id}] 心跳')

            def _on_danmaku(self, client: blivedm.BLiveClient, message: web_models.DanmakuMessage):
                # 闲时计数清零
                idle_time_auto_clear("comment")

                # logging.info(f'[{client.room_id}] {message.uname}：{message.msg}')
                content = message.msg  # 获取弹幕内容
                username = message.uname  # 获取发送弹幕的用户昵称
                user_face = message.face

                logging.info(f"[{username}]: {content}")

                data = {
                    "platform": platform,
                    "username": username,
                    "user_face": user_face,
                    "content": content
                }

                my_handle.process_data(data, "comment")

            def _on_gift(self, client: blivedm.BLiveClient, message: web_models.GiftMessage):
                # logging.info(f'[{client.room_id}] {message.uname} 赠送{message.gift_name}x{message.num}'
                #     f' （{message.coin_type}瓜子x{message.total_coin}）')
                idle_time_auto_clear("gift")

                gift_name = message.gift_name
                username = message.uname
                user_face = message.face
                # 礼物数量
                combo_num = message.num
                # 总金额
                combo_total_coin = message.total_coin

                logging.info(f"用户：{username} 赠送 {combo_num} 个 {gift_name}，总计 {combo_total_coin}电池")

                data = {
                    "platform": platform,
                    "gift_name": gift_name,
                    "username": username,
                    "user_face": user_face,
                    "num": combo_num,
                    "unit_price": combo_total_coin / combo_num / 1000,
                    "total_price": combo_total_coin / 1000
                }

                my_handle.process_data(data, "gift")

            def _on_buy_guard(self, client: blivedm.BLiveClient, message: web_models.GuardBuyMessage):
                logging.info(f'[{client.room_id}] {message.username} 购买{message.gift_name}')

            def _on_super_chat(self, client: blivedm.BLiveClient, message: web_models.SuperChatMessage):
                # logging.info(f'[{client.room_id}] 醒目留言 ¥{message.price} {message.uname}：{message.message}')
                idle_time_auto_clear("gift")

                message = message.message
                uname = message.uname
                user_face = message.face
                price = message.price

                logging.info(f"用户：{uname} 发送 {price}元 SC：{message}")

                data = {
                    "platform": platform,
                    "gift_name": "SC",
                    "username": uname,
                    "user_face": user_face,
                    "num": 1,
                    "unit_price": price,
                    "total_price": price,
                    "content": message
                }

                my_handle.process_data(data, "gift")

                my_handle.process_data(data, "comment")

        class MyHandler2(blivedm.BaseHandler):
            def _on_heartbeat(self, client: blivedm.BLiveClient, message: web_models.HeartbeatMessage):
                logging.debug(f'[{client.room_id}] 心跳')

            def _on_open_live_danmaku(self, client: blivedm.OpenLiveClient, message: open_models.DanmakuMessage):
                # 闲时计数清零
                idle_time_auto_clear("comment")

                # logging.info(f'[{client.room_id}] {message.uname}：{message.msg}')
                content = message.msg  # 获取弹幕内容
                username = message.uname  # 获取发送弹幕的用户昵称
                user_face = message.uface

                logging.debug(f"用户：{username} 头像：{user_face}")

                logging.info(f"[{username}]: {content}")

                data = {
                    "platform": platform,
                    "username": username,
                    "user_face": user_face,
                    "content": content
                }

                my_handle.process_data(data, "comment")

            def _on_open_live_gift(self, client: blivedm.OpenLiveClient, message: open_models.GiftMessage):
                idle_time_auto_clear("gift")

                gift_name = message.gift_name
                username = message.uname
                user_face = message.uface
                # 礼物数量
                combo_num = message.gift_num
                # 总金额
                combo_total_coin = message.price * message.gift_num

                logging.info(f"用户：{username} 赠送 {combo_num} 个 {gift_name}，总计 {combo_total_coin}电池")

                data = {
                    "platform": platform,
                    "gift_name": gift_name,
                    "username": username,
                    "user_face": user_face,
                    "num": combo_num,
                    "unit_price": combo_total_coin / combo_num / 1000,
                    "total_price": combo_total_coin / 1000
                }

                my_handle.process_data(data, "gift")


            def _on_open_live_buy_guard(self, client: blivedm.OpenLiveClient, message: open_models.GuardBuyMessage):
                logging.info(f'[{client.room_id}] {message.user_info.uname} 购买 大航海等级={message.guard_level}')

            def _on_open_live_super_chat(
                self, client: blivedm.OpenLiveClient, message: open_models.SuperChatMessage
            ):
                idle_time_auto_clear("gift")

                print(f'[{message.room_id}] 醒目留言 ¥{message.rmb} {message.uname}：{message.message}')

                message = message.message
                uname = message.uname
                user_face = message.uface
                price = message.rmb

                logging.info(f"用户：{uname} 发送 {price}元 SC：{message}")

                data = {
                    "platform": platform,
                    "gift_name": "SC",
                    "username": uname,
                    "user_face": user_face,
                    "num": 1,
                    "unit_price": price,
                    "total_price": price,
                    "content": message
                }

                my_handle.process_data(data, "gift")

                my_handle.process_data(data, "comment")

            def _on_open_live_super_chat_delete(
                self, client: blivedm.OpenLiveClient, message: open_models.SuperChatDeleteMessage
            ):
                logging.info(f'[直播间 {message.room_id}] 删除醒目留言 message_ids={message.message_ids}')

            def _on_open_live_like(self, client: blivedm.OpenLiveClient, message: open_models.LikeMessage):
                logging.info(f'用户：{message.uname} 点了个赞')



        asyncio.run(main_func())
    elif platform == "douyu":
        import websockets

        async def on_message(websocket, path):
            global last_liveroom_data, last_username_list
            global global_idle_time

            async for message in websocket:
                # print(f"收到消息: {message}")
                # await websocket.send("服务器收到了你的消息: " + message)

                try:
                    data_json = json.loads(message)
                    # logging.debug(data_json)
                    if data_json["type"] == "comment":
                        # logging.info(data_json)
                        # 闲时计数清零
                        idle_time_auto_clear("comment")

                        username = data_json["username"]
                        content = data_json["content"]
                        
                        logging.info(f'[📧直播间弹幕消息] [{username}]：{content}')

                        data = {
                            "platform": platform,
                            "username": username,
                            "content": content
                        }
                        
                        my_handle.process_data(data, "comment")

                        # 添加用户名到最新的用户名列表
                        add_username_to_last_username_list(username)

                except Exception as e:
                    logging.error(traceback.format_exc())
                    logging.error("数据解析错误！")
                    my_handle.abnormal_alarm_handle("platform")
                    continue
            

        async def ws_server():
            ws_url = "127.0.0.1"
            ws_port = 5000
            server = await websockets.serve(on_message, ws_url, ws_port)
            logging.info(f"WebSocket 服务器已在 {ws_url}:{ws_port} 启动")
            await server.wait_closed()


        asyncio.run(ws_server())
    elif platform == "dy":
        import websocket

        def on_message(ws, message):
            global last_liveroom_data, last_username_list, config, config_path
            global global_idle_time

            message_json = json.loads(message)
            # logging.debug(message_json)
            if "Type" in message_json:
                type = message_json["Type"]
                data_json = json.loads(message_json["Data"])
                
                if type == 1:
                    # 闲时计数清零
                    idle_time_auto_clear("comment")

                    username = data_json["User"]["Nickname"]
                    content = data_json["Content"]
                    
                    logging.info(f'[📧直播间弹幕消息] [{username}]：{content}')

                    data = {
                        "platform": platform,
                        "username": username,
                        "content": content
                    }
                    
                    my_handle.process_data(data, "comment")

                    pass

                elif type == 2:
                    username = data_json["User"]["Nickname"]
                    count = data_json["Count"]

                    logging.info(f'[👍直播间点赞消息] {username} 点了{count}赞')                

                elif type == 3:
                    idle_time_auto_clear("entrance")

                    username = data_json["User"]["Nickname"]

                    logging.info(f'[🚹🚺直播间成员加入消息] 欢迎 {username} 进入直播间')

                    data = {
                        "platform": platform,
                        "username": username,
                        "content": "进入直播间"
                    }

                    # 添加用户名到最新的用户名列表
                    add_username_to_last_username_list(username)

                    my_handle.process_data(data, "entrance")

                elif type == 4:
                    idle_time_auto_clear("follow")

                    username = data_json["User"]["Nickname"]

                    logging.info(f'[➕直播间关注消息] 感谢 {data_json["User"]["Nickname"]} 的关注')

                    data = {
                        "platform": platform,
                        "username": username
                    }
                    
                    my_handle.process_data(data, "follow")

                    pass

                elif type == 5:
                    idle_time_auto_clear("gift")

                    gift_name = data_json["GiftName"]
                    username = data_json["User"]["Nickname"]
                    # 礼物数量
                    num = data_json["GiftCount"]
                    # 礼物重复数量
                    repeat_count = data_json["RepeatCount"]

                    try:
                        # 暂时是写死的
                        data_path = "data/抖音礼物价格表.json"

                        # 读取JSON文件
                        with open(data_path, "r", encoding="utf-8") as file:
                            # 解析JSON数据
                            data_json = json.load(file)

                        if gift_name in data_json:
                            # 单个礼物金额 需要自己维护礼物价值表
                            discount_price = data_json[gift_name]
                        else:
                            logging.warning(f"数据文件：{data_path} 中，没有 {gift_name} 对应的价值，请手动补充数据")
                            discount_price = 1
                    except Exception as e:
                        logging.error(traceback.format_exc())
                        discount_price = 1


                    # 总金额
                    combo_total_coin = repeat_count * discount_price

                    logging.info(f'[🎁直播间礼物消息] 用户：{username} 赠送 {num} 个 {gift_name}，单价 {discount_price}抖币，总计 {combo_total_coin}抖币')

                    data = {
                        "platform": platform,
                        "gift_name": gift_name,
                        "username": username,
                        "num": num,
                        "unit_price": discount_price / 10,
                        "total_price": combo_total_coin / 10
                    }

                    my_handle.process_data(data, "gift")

                elif type == 6:
                    logging.info(f'[直播间数据] {data_json["Content"]}')
                    # {'OnlineUserCount': 50, 'TotalUserCount': 22003, 'TotalUserCountStr': '2.2万', 'OnlineUserCountStr': '50', 
                    # 'MsgId': 7260517442466662207, 'User': None, 'Content': '当前直播间人数 50，累计直播间人数 2.2万', 'RoomId': 7260415920948906807}
                    # print(f"data_json={data_json}")

                    last_liveroom_data = data_json

                    # 当前在线人数
                    OnlineUserCount = data_json["OnlineUserCount"]

                    try:
                        # 是否开启了动态配置功能
                        if config.get("trends_config", "enable"):
                            for path_config in config.get("trends_config", "path"):
                                online_num_min = int(path_config["online_num"].split("-")[0])
                                online_num_max = int(path_config["online_num"].split("-")[1])

                                # 判断在线人数是否在此范围内
                                if OnlineUserCount >= online_num_min and OnlineUserCount <= online_num_max:
                                    logging.debug(f"当前配置文件：{path_config['path']}")
                                    # 如果配置文件相同，则跳过
                                    if config_path == path_config["path"]:
                                        break

                                    config_path = path_config["path"]
                                    config = Config(config_path)

                                    my_handle.reload_config(config_path)

                                    logging.info(f"切换配置文件：{config_path}")

                                    break
                    except Exception as e:
                        logging.error(traceback.format_exc())

                    pass

                elif type == 8:
                    logging.info(f'[分享直播间] 感谢 {data_json["User"]["Nickname"]} 分享了直播间')

                    pass

        def on_error(ws, error):
            logging.error(f"Error:{error}")


        def on_close(ws):
            logging.debug("WebSocket connection closed")

        def on_open(ws):
            logging.debug("WebSocket connection established")
            


        try: 
            # WebSocket连接URL
            ws_url = "ws://127.0.0.1:8888"

            logging.info(f"监听地址：{ws_url}")

            # 不设置日志等级
            websocket.enableTrace(False)
            # 创建WebSocket连接
            ws = websocket.WebSocketApp(ws_url,
                on_message=on_message,
                on_error=on_error,
                on_close=on_close,
                on_open=on_open)

            # 运行WebSocket连接
            ws.run_forever()
        except KeyboardInterrupt:
            logging.warning('程序被强行退出')
        finally:
            logging.warning('关闭ws连接...请确认您是否启动了抖音弹幕监听程序，ws服务正常运行！\n监听程序启动成功后，请重新运行程序进行对接使用！')
            # os._exit(0)

        # 等待子线程结束
        schedule_thread.join()
    elif platform == "ks2":
        import websockets

        async def on_message(websocket, path):
            global last_liveroom_data, last_username_list
            global global_idle_time

            async for message in websocket:
                # print(f"收到消息: {message}")
                # await websocket.send("服务器收到了你的消息: " + message)

                try:
                    data_json = json.loads(message)
                    # logging.debug(data_json)
                    if data_json["type"] == "comment":
                        # logging.info(data_json)
                        # 闲时计数清零
                        idle_time_auto_clear("comment")

                        username = data_json["username"]
                        content = data_json["content"]
                        
                        logging.info(f'[📧直播间弹幕消息] [{username}]：{content}')

                        data = {
                            "platform": platform,
                            "username": username,
                            "content": content
                        }
                        
                        my_handle.process_data(data, "comment")

                        # 添加用户名到最新的用户名列表
                        add_username_to_last_username_list(username)

                except Exception as e:
                    logging.error(traceback.format_exc())
                    logging.error("数据解析错误！")
                    my_handle.abnormal_alarm_handle("platform")
                    continue
            

        async def ws_server():
            ws_url = "127.0.0.1"
            ws_port = 5000
            server = await websockets.serve(on_message, ws_url, ws_port)
            logging.info(f"WebSocket 服务器已在 {ws_url}:{ws_port} 启动")
            await server.wait_closed()


        asyncio.run(ws_server())
    
    elif platform == "ks":
        from playwright.sync_api import sync_playwright, TimeoutError
        from google.protobuf.json_format import MessageToDict
        from configparser import ConfigParser
        import kuaishou_pb2

        class kslive(object):
            def __init__(self):
                global config, common, my_handle

                self.path = os.path.abspath('')
                self.chrome_path = r"\firefox-1419\firefox\firefox.exe"
                self.ua = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0'
                self.uri = 'https://live.kuaishou.com/u/'
                self.context = None
                self.browser = None
                self.page = None

                try:
                    self.live_ids = config.get("room_display_id")
                    self.thread = 2
                    # 没什么用的手机号配置，也就方便登录
                    self.phone = "123"
                except Exception as e:
                    logging.error(traceback.format_exc())
                    logging.error("请检查配置文件")
                    my_handle.abnormal_alarm_handle("platform")
                    exit()

            def find_file(self, find_path, file_type) -> list:
                """
                寻找文件
                :param find_path: 子路径
                :param file_type: 文件类型
                :return:
                """
                path = self.path + "\\" + find_path
                data_list = []
                for root, dirs, files in os.walk(path):
                    if root != path:
                        break
                    for file in files:
                        file_path = os.path.join(root, file)
                        if file_path.find(file_type) != -1:
                            data_list.append(file_path)
                return data_list

            def main(self, lid, semaphore):
                if not os.path.exists(self.path + "\\cookie"):
                    os.makedirs(self.path + "\\cookie")
                
                cookie_path=self.path + "\\cookie\\" + self.phone + ".json"
                # if not os.path.exists(cookie_path):
                #     with open(cookie_path, 'w') as file:
                #         file.write('{"a":"a"}')
                #     logging.info(f"'{cookie_path}' 创建成功")
                # else:
                #     logging.info(f"'{cookie_path}' 已存在，无需创建")

                with semaphore:
                    thread_name = threading.current_thread().name.split("-")[0]
                    with sync_playwright() as p:
                        self.browser = p.chromium.launch(headless=False)
                        # self.browser = p.firefox.launch(headless=False)
                        # executable_path=self.path + self.chrome_path
                        cookie_list = self.find_file("cookie", "json")

                        live_url = self.uri + lid
                    
                        if not os.path.exists(cookie_path):
                            self.context = self.browser.new_context(storage_state=None, user_agent=self.ua)
                        else:
                            self.context = self.browser.new_context(storage_state=cookie_list[0], user_agent=self.ua)
                        self.page = self.context.new_page()
                        self.page.add_init_script("Object.defineProperties(navigator, {webdriver:{get:()=>undefined}});")
                        self.page.goto("https://live.kuaishou.com/")
                        # self.page.goto(live_url)
                        element = self.page.get_attribute('.no-login', "style")

                        if not element:
                            logging.info("未登录，请先登录~")
                            self.page.locator('.login').click()
                            self.page.locator('li.tab-panel:nth-child(2) > h4:nth-child(1)').click()
                            self.page.locator(
                                'div.normal-login-item:nth-child(1) > div:nth-child(1) > input:nth-child(1)').fill(
                                self.phone)
                        try:
                            self.page.wait_for_selector("#app > section > div.header-placeholder > header > div.header-main > "
                                                        "div.right-part > div.user-info > div.tooltip-trigger > span",
                                                        timeout=1000 * 60 * 2)
                            if not os.path.exists(self.path + "\\cookie"):
                                os.makedirs(self.path + "\\cookie")
                            self.context.storage_state(path=cookie_path)
                            # 检测是否开播
                            selector = "html body div#app div.live-room div.detail div.player " \
                                    "div.kwai-player.kwai-player-container.kwai-player-rotation-0 " \
                                    "div.kwai-player-container-video div.kwai-player-plugins div.center-state div.state " \
                                    "div.no-live-detail div.desc p.tip"  # 检测正在直播时下播的选择器
                            try:
                                msg = self.page.locator(selector).text_content(timeout=3000)
                                logging.info("当前%s" % thread_name + "，" + msg)
                                self.context.close()
                                self.browser.close()

                            except Exception as e:
                                logging.info("当前%s，[%s]正在直播" % (thread_name, lid))
                                
                                logging.info(f"跳转直播间：{live_url}")
                                # self.page.goto(live_url)
                                # time.sleep(1)

                                self.page.goto(live_url)

                                # 等待一段时间检查是否有验证码弹窗
                                try:
                                    captcha_selector = "html body div.container"  # 假设这是验证码弹窗的选择器
                                    self.page.wait_for_selector(captcha_selector, timeout=5000)  # 等待5秒看是否出现验证码
                                    logging.info("检测到验证码，处理验证码...")
                                    # 等待验证码弹窗从DOM中被完全移除
                                    self.page.wait_for_selector(captcha_selector, state='detached', timeout=10000)  # 假设最长等待10秒验证码验证完成
                                    logging.info("验证码已验证，弹窗已移除")
                                    # 弹窗处理逻辑之后等待1秒
                                    time.sleep(1)
                                    # 处理完验证码后，可能需要再次跳转页面
                                    # self.page.goto(live_url)
                                except TimeoutError:
                                    logging.error("没有检测到验证码，继续执行...")
                                    
                                logging.info(f"请在10s内手动打开直播间：{live_url}")

                                time.sleep(10)

                                self.page.on("websocket", self.web_sockets)
                                logging.info(f"24h监听直播间等待下播...")
                                self.page.wait_for_selector(selector, timeout=86400000)
                                logging.error("当前%s，[%s]的直播结束了" % (thread_name, lid))
                                self.context.close()
                                self.browser.close()

                        except Exception as e:
                            logging.error(traceback.format_exc())
                            self.context.close()
                            self.browser.close()

            def web_sockets(self, web_socket):
                logging.info("web_sockets...")
                urls = web_socket.url
                logging.info(urls)
                if '/websocket' in urls:
                    logging.info("websocket连接成功，创建监听事件")
                    web_socket.on("close", self.websocket_close)
                    web_socket.on("framereceived", self.handler)

            def websocket_close(self):
                self.context.close()
                self.browser.close()

            def handler(self, websocket):
                Message = kuaishou_pb2.SocketMessage()
                Message.ParseFromString(websocket)
                if Message.payloadType == 310:
                    SCWebFeedPUsh = kuaishou_pb2.SCWebFeedPush()
                    SCWebFeedPUsh.ParseFromString(Message.payload)
                    obj = MessageToDict(SCWebFeedPUsh, preserving_proto_field_name=True)

                    logging.debug(obj)

                    if obj.get('commentFeeds', ''):
                        msg_list = obj.get('commentFeeds', '')
                        for i in msg_list:
                            # 闲时计数清零
                            idle_time_auto_clear("comment")

                            username = i['user']['userName']
                            pid = i['user']['principalId']
                            content = i['content']
                            logging.info(f"[📧直播间弹幕消息] [{username}]:{content}")

                            data = {
                                "platform": platform,
                                "username": username,
                                "content": content
                            }
                            
                            my_handle.process_data(data, "comment")
                    if obj.get('giftFeeds', ''):
                        idle_time_auto_clear("gift")

                        msg_list = obj.get('giftFeeds', '')
                        for i in msg_list:
                            username = i['user']['userName']
                            # pid = i['user']['principalId']
                            giftId = i['giftId']
                            comboCount = i['comboCount']
                            logging.info(f"[🎁直播间礼物消息] 用户：{username} 赠送礼物Id={giftId} 连击数={comboCount}")
                    if obj.get('likeFeeds', ''):
                        msg_list = obj.get('likeFeeds', '')
                        for i in msg_list:
                            username = i['user']['userName']
                            pid = i['user']['principalId']
                            logging.info(f"{username}")


        class run(kslive):
            def __init__(self):
                super().__init__()
                self.ids_list = self.live_ids.split(",")

            def run_live(self):
                """
                主程序入口
                :return:
                """
                t_list = []
                # 允许的最大线程数
                if self.thread < 1:
                    self.thread = 1
                elif self.thread > 8:
                    self.thread = 8
                    logging.info("线程最大允许8，线程数最好设置cpu核心数")

                semaphore = threading.Semaphore(self.thread)
                # 用于记录数量
                n = 0
                if not self.live_ids:
                    logging.info("请导入网页直播id，多个以','间隔")
                    return

                for i in self.ids_list:
                    n += 1
                    t = threading.Thread(target=kslive().main, args=(i, semaphore), name=f"线程：{n}-{i}")
                    t.start()
                    t_list.append(t)
                for i in t_list:
                    i.join()

        run().run_live()
    elif platform == "pdd":
        import websockets

        async def on_message(websocket, path):
            global last_liveroom_data, last_username_list
            global global_idle_time

            async for message in websocket:
                # print(f"收到消息: {message}")
                # await websocket.send("服务器收到了你的消息: " + message)

                try:
                    data_json = json.loads(message)
                    # logging.debug(data_json)
                    if data_json["type"] == "comment":
                        # logging.info(data_json)
                        # 闲时计数清零
                        idle_time_auto_clear("comment")

                        username = data_json["username"]
                        content = data_json["content"]
                        
                        logging.info(f'[📧直播间弹幕消息] [{username}]：{content}')

                        data = {
                            "platform": platform,
                            "username": username,
                            "content": content
                        }
                        
                        my_handle.process_data(data, "comment")

                        # 添加用户名到最新的用户名列表
                        add_username_to_last_username_list(username)

                except Exception as e:
                    logging.error(traceback.format_exc())
                    logging.error("数据解析错误！")
                    my_handle.abnormal_alarm_handle("platform")
                    continue
            
        async def ws_server():
            ws_url = "127.0.0.1"
            ws_port = 5000
            server = await websockets.serve(on_message, ws_url, ws_port)
            logging.info(f"WebSocket 服务器已在 {ws_url}:{ws_port} 启动")
            await server.wait_closed()

        asyncio.run(ws_server())
    elif platform == "tiktok":
        """
        tiktok
        """
        from TikTokLive import TikTokLiveClient
        from TikTokLive.events import CommentEvent, ConnectEvent, DisconnectEvent, JoinEvent, GiftEvent, FollowEvent
        # from TikTokLive.client.errors import LiveNotFound

        # 比如直播间是 https://www.tiktok.com/@username/live 那么room_id就是 username，其实就是用户唯一ID
        room_id = my_handle.get_room_id()

        proxys = {
            "http://": "http://127.0.0.1:10809",
            "https://": "http://127.0.0.1:10809"
        }

        proxys = None
        
        # 代理软件开启TUN模式进行代理，由于库的ws不走传入的代理参数，只能靠代理软件全代理了
        client: TikTokLiveClient = TikTokLiveClient(unique_id=f"@{room_id}", web_proxy=proxys, ws_proxy=proxys)

        def start_client():
            # Define how you want to handle specific events via decorator
            @client.on("connect")
            async def on_connect(_: ConnectEvent):
                logging.info(f"连接到 房间ID:{client.room_id}")

            @client.on("disconnect")
            async def on_disconnect(event: DisconnectEvent):
                logging.info("断开连接，10秒后重连")
                await asyncio.sleep(10)  # 等待一段时间后尝试重连，这里等待10秒
                start_client()  # 尝试重新连接

            @client.on("join")
            async def on_join(event: JoinEvent):
                idle_time_auto_clear("entrance")

                username = event.user.nickname
                unique_id = event.user.unique_id

                logging.info(f'[🚹🚺直播间成员加入消息] 欢迎 {username} 进入直播间')

                data = {
                    "platform": platform,
                    "username": username,
                    "content": "进入直播间"
                }

                # 添加用户名到最新的用户名列表
                add_username_to_last_username_list(username)

                my_handle.process_data(data, "entrance")

            # Notice no decorator?
            @client.on("comment")
            async def on_comment(event: CommentEvent):
                # 闲时计数清零
                idle_time_auto_clear("comment")

                username = event.user.nickname
                content = event.comment
                
                logging.info(f'[📧直播间弹幕消息] [{username}]：{content}')

                data = {
                    "platform": platform,
                    "username": username,
                    "content": content
                }
                
                my_handle.process_data(data, "comment")

            @client.on("gift")
            async def on_gift(event: GiftEvent):
                """
                This is an example for the "gift" event to show you how to read gift data properly.

                Important Note:

                Gifts of type 1 can have streaks, so we need to check that the streak has ended
                If the gift type isn't 1, it can't repeat. Therefore, we can go straight to logging.infoing

                """
                idle_time_auto_clear("gift")

                # Streakable gift & streak is over
                if event.gift.streakable and not event.gift.streaking:
                    # 礼物重复数量
                    repeat_count = event.gift.count

                # Non-streakable gift
                elif not event.gift.streakable:
                    # 礼物重复数量
                    repeat_count = 1

                gift_name = event.gift.info.name
                username = event.user.nickname
                # 礼物数量
                num = 1
                

                try:
                    # 暂时是写死的
                    data_path = "data/tiktok礼物价格表.json"

                    # 读取JSON文件
                    with open(data_path, "r", encoding="utf-8") as file:
                        # 解析JSON数据
                        data_json = json.load(file)

                    if gift_name in data_json:
                        # 单个礼物金额 需要自己维护礼物价值表
                        discount_price = data_json[gift_name]
                    else:
                        logging.warning(f"数据文件：{data_path} 中，没有 {gift_name} 对应的价值，请手动补充数据")
                        discount_price = 1
                except Exception as e:
                    logging.error(traceback.format_exc())
                    discount_price = 1


                # 总金额
                combo_total_coin = repeat_count * discount_price

                logging.info(f'[🎁直播间礼物消息] 用户：{username} 赠送 {num} 个 {gift_name}，单价 {discount_price}抖币，总计 {combo_total_coin}抖币')

                data = {
                    "platform": platform,
                    "gift_name": gift_name,
                    "username": username,
                    "num": num,
                    "unit_price": discount_price / 10,
                    "total_price": combo_total_coin / 10
                }

                my_handle.process_data(data, "gift")

            @client.on("follow")
            async def on_follow(event: FollowEvent):
                idle_time_auto_clear("follow")
                
                username = event.user.nickname

                logging.info(f'[➕直播间关注消息] 感谢 {username} 的关注')

                data = {
                    "platform": platform,
                    "username": username
                }
                
                my_handle.process_data(data, "follow")

            try:
                client.stop()
                logging.info(f"连接{room_id}中...")
                client.run()

            except Exception as e:
                logging.info(f"用户ID: @{client.unique_id} 好像不在线捏, 1分钟后重试...")
                start_client()
        
        # 运行客户端
        start_client()
    elif platform == "twitch":
        import socks
        from emoji import demojize


        try:
            server = 'irc.chat.twitch.tv'
            port = 6667
            nickname = '主人'

            try:
                channel = '#' + config.get("room_display_id") # 要从中检索消息的频道，注意#必须携带在头部 The channel you want to retrieve messages from
                token = config.get("twitch", "token") # 访问 https://twitchapps.com/tmi/ 获取
                user = config.get("twitch", "user") # 你的Twitch用户名 Your Twitch username
                # 代理服务器的地址和端口
                proxy_server = config.get("twitch", "proxy_server")
                proxy_port = int(config.get("twitch", "proxy_port"))
            except Exception as e:
                logging.error(traceback.format_exc())
                logging.error("获取Twitch配置失败！\n{0}".format(e))
                my_handle.abnormal_alarm_handle("platform")

            # 配置代理服务器
            socks.set_default_proxy(socks.HTTP, proxy_server, proxy_port)

            # 创建socket对象
            sock = socks.socksocket()

            try:
                sock.connect((server, port))
                logging.info("成功连接 Twitch IRC server")
            except Exception as e:
                logging.error(traceback.format_exc())
                logging.error(f"连接 Twitch IRC server 失败: {e}")
                my_handle.abnormal_alarm_handle("platform")


            sock.send(f"PASS {token}\n".encode('utf-8'))
            sock.send(f"NICK {nickname}\n".encode('utf-8'))
            sock.send(f"JOIN {channel}\n".encode('utf-8'))

            regex = r":(\w+)!\w+@\w+\.tmi\.twitch\.tv PRIVMSG #\w+ :(.+)"

            # 重连次数
            retry_count = 0

            while True:
                try:
                    resp = sock.recv(2048).decode('utf-8')

                    # 输出所有接收到的内容，包括PING/PONG
                    # logging.info(resp)

                    if resp.startswith('PING'):
                            sock.send("PONG\n".encode('utf-8'))

                    elif not user in resp:
                        # 闲时计数清零
                        idle_time_auto_clear("comment")

                        resp = demojize(resp)

                        logging.debug(resp)

                        match = re.match(regex, resp)

                        username = match.group(1)
                        content = match.group(2)
                        content = content.rstrip()

                        logging.info(f"[{username}]: {content}")

                        data = {
                            "platform": platform,
                            "username": username,
                            "content": content
                        }

                        my_handle.process_data(data, "comment")
                except AttributeError as e:
                    logging.error(traceback.format_exc())
                    logging.error(f"捕获到异常: {e}")
                    logging.error("发生异常，重新连接socket")
                    my_handle.abnormal_alarm_handle("platform")

                    if retry_count >= 3:
                        logging.error(f"多次重连失败，程序结束！")
                        return
                    
                    retry_count += 1
                    logging.error(f"重试次数: {retry_count}")

                    # 在这里添加重新连接socket的代码
                    # 例如，你可能想要关闭旧的socket连接，然后重新创建一个新的socket连接
                    sock.close()

                    # 创建socket对象
                    sock = socks.socksocket()

                    try:
                        sock.connect((server, port))
                        logging.info("成功连接 Twitch IRC server")
                    except Exception as e:
                        logging.error(f"连接 Twitch IRC server 失败: {e}")

                    sock.send(f"PASS {token}\n".encode('utf-8'))
                    sock.send(f"NICK {nickname}\n".encode('utf-8'))
                    sock.send(f"JOIN {channel}\n".encode('utf-8'))
                except Exception as e:
                    logging.error(traceback.format_exc())
                    logging.error("Error receiving chat: {0}".format(e))
                    my_handle.abnormal_alarm_handle("platform")
        except Exception as e:
            logging.error(traceback.format_exc())
            my_handle.abnormal_alarm_handle("platform")
    elif platform == "wxlive":
    
        app = Flask(__name__)
        CORS(app)  # 允许跨域请求

        # 用于去重用的列表
        seq_list = []

        @app.route('/wxlive', methods=['POST'])
        def wxlive():
            global my_handle, config

            try:
                # 获取 POST 请求中的数据
                data = request.json
                # 这里可以添加代码处理接收到的数据
                logging.debug(data)

                if data['events'][0]['seq'] in seq_list:
                    return jsonify({"code": 1, "message": "重复数据过滤"})

                # 如果列表长度达到30，移除最旧的元素
                if len(seq_list) >= 30:
                    seq_list.pop(0)
                
                # 添加新元素
                seq_list.append(data['events'][0]['seq'])

                # 弹幕数据
                if data['events'][0]['decoded_type'] == "comment":
                    # 闲时计数清零
                    idle_time_auto_clear("comment")

                    content = data['events'][0]['content']  # 获取弹幕内容
                    username = data['events'][0]['nickname']  # 获取发送弹幕的用户昵称

                    logging.info(f"[{username}]: {content}")

                    data = {
                        "platform": platform,
                        "username": username,
                        "content": content
                    }

                    my_handle.process_data(data, "comment")
                # 入场数据
                elif data['events'][0]['decoded_type'] == "enter":
                    idle_time_auto_clear("entrance")

                    username = data['events'][0]['nickname']

                    logging.info(f"用户：{username} 进入直播间")

                    # 添加用户名到最新的用户名列表
                    add_username_to_last_username_list(username)

                    data = {
                        "platform": platform,
                        "username": username,
                        "content": "进入直播间"
                    }

                    my_handle.process_data(data, "entrance")
                    pass

                # 响应
                return jsonify({"code": 200, "message": "成功接收"})
            except Exception as e:
                logging.error(traceback.format_exc())
                my_handle.abnormal_alarm_handle("platform")
                return jsonify({"code": -1, "message": f"发送数据失败！{e}"})
            
        @app.route('/send', methods=['POST'])
        def send():
            global my_handle, config

            try:
                try:
                    data_json = request.get_json()
                    logging.info(f"API收到数据：{data_json}")

                    if data_json["type"] in ["reread", "reread_top_priority"]:
                        my_handle.reread_handle(data_json, type=data_json["type"])
                    elif data_json["type"] == "comment":
                        my_handle.process_data(data_json, "comment")
                    elif data_json["type"] == "tuning":
                        my_handle.tuning_handle(data_json)

                    return jsonify({"code": 200, "message": "发送数据成功！"})
                except Exception as e:
                    logging.error(f"发送数据失败！{e}")
                    return jsonify({"code": -1, "message": f"发送数据失败！{e}"})

            except Exception as e:
                return jsonify({"code": -1, "message": f"发送数据失败！{e}"})
            
        app.run(host="0.0.0.0", port=config.get("api_port"), debug=False)
        # app.run(host="0.0.0.0", port=8082, debug=True)
    elif platform == "youtube":
        import pytchat

        try:
            try:
                video_id = config.get("room_display_id")
            except Exception as e:
                logging.error("获取直播间号失败！\n{0}".format(e))

            live = pytchat.create(video_id=video_id)
            while live.is_alive():
                try:
                    for c in live.get().sync_items():
                        # 过滤表情包
                        chat_raw = re.sub(r':[^\s]+:', '', c.message)
                        chat_raw = chat_raw.replace('#', '')
                        if chat_raw != '':
                            # 闲时计数清零
                            idle_time_auto_clear("comment")

                            # chat_author makes the chat look like this: "Nightbot: Hello". So the assistant can respond to the user's name
                            # chat = '[' + c.author.name + ']: ' + chat_raw
                            # logging.info(chat)

                            content = chat_raw  # 获取弹幕内容
                            username = c.author.name  # 获取发送弹幕的用户昵称

                            logging.info(f"[{username}]: {content}")

                            data = {
                                "platform": platform,
                                "username": username,
                                "content": content
                            }

                            my_handle.process_data(data, "comment")
                            
                        # time.sleep(1)
                except Exception as e:
                    logging.error(traceback.format_exc())
                    logging.error("Error receiving chat: {0}".format(e))
                    my_handle.abnormal_alarm_handle("platform")
        except KeyboardInterrupt:
            logging.warning('程序被强行退出')
        finally:
            logging.warning('关闭连接...')
            os._exit(0)
    elif platform == "hntv":
        import requests

        # 初始化已获取的commentId集合
        comment_set = set()

        def fetch_comments():
            try:
                url = f'https://pubmod.hntv.tv/dx-bridge/get-comment-with-article-super-v2?limit=40&typeId=1&appFusionId=1390195608019869697&page=1&objectId={my_handle.get_room_id()}'
                response = requests.get(url)
                if response.status_code == 200:
                    data = response.json()
                    items = data.get('result', {}).get('items', [])
                    for item in items:
                        comment_id = item.get('commentId')
                        if comment_id not in comment_set:
                            comment_set.add(comment_id)
                            username = item.get('commentUserNickname', '')
                            content = item.get('content', '')
                            
                            logging.info(f"[{username}]: {content}")

                            data = {
                                "platform": platform,
                                "username": username,
                                "content": content
                            }

                            my_handle.process_data(data, "comment")
                else:
                    logging.error("获取弹幕数据失败。。。")
            except Exception as e:
                logging.error(traceback.format_exc())
                my_handle.abnormal_alarm_handle("platform")

        while True:
            fetch_comments()
            time.sleep(3)  # 每隔3秒轮询一次
    elif platform == "talk":
        thread.join()


# 退出程序
def exit_handler(signum, frame):
    print("收到信号:", signum)


if __name__ == '__main__':
    common = Common()
    config = Config(config_path)
    # 日志文件路径
    log_path = "./log/log-" + common.get_bj_time(1) + ".txt"
    Configure_logger(log_path)

    platform = config.get("platform")

    if platform == "bilibili2":
        # 这里填一个已登录账号的cookie。不填cookie也可以连接，但是收到弹幕的用户名会打码，UID会变成0
        SESSDATA = ''

        session: Optional[aiohttp.ClientSession] = None
    

    # 按键监听相关
    do_listen_and_comment_thread = None
    stop_do_listen_and_comment_thread_event = None
    # 存储加载的模型对象
    faster_whisper_model = None

    # 信号特殊处理
    signal.signal(signal.SIGINT, exit_handler)
    signal.signal(signal.SIGTERM, exit_handler)

    start_server()