mirror of
https://github.com/TeamPGM/PagerMaid_Plugins.git
synced 2024-11-22 02:35:34 +00:00
223 lines
9.1 KiB
Python
223 lines
9.1 KiB
Python
# -*- coding: utf-8 -*-
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from asyncio import sleep
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from os import sep, remove, listdir
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from os.path import isfile
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from sys import executable
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from time import strftime, localtime
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try:
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from mutagen.id3 import ID3, APIC, TIT2, TPE1
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from pyncm import GetCurrentSession, apis, DumpSessionAsString, SetCurrentSession, LoadSessionFromString
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from pyncm.apis import LoginFailedException
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from pyncm.apis.cloudsearch import CloudSearchType
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cc_imported = True
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except ImportError:
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print(f'[!] Please run {executable} -m pip install requests pycryptodome tqdm mutagen and '
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f'{executable} -m pip installgit+https://github.com/Xtao-Labs/pyncm.git')
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cc_imported = False
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from telethon.tl.types import DocumentAttributeAudio
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from pagermaid.listener import listener
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from pagermaid.utils import alias_command, execute
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def download_by_url(url, dest):
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# Downloads generic content
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response = GetCurrentSession().get(url, stream=True)
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with open(dest, 'wb') as f:
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for chunk in response.iter_content(1024 * 2 ** 10):
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f.write(chunk) # write every 1MB read
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return dest
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def gen_author(song_info: dict) -> str:
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data = []
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for i in song_info["songs"][0]["ar"]:
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data.append(i["name"])
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return " ".join(data)
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def get_duration(song_info: dict, track_info: dict) -> int:
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if track_info["data"][0]["freeTrialInfo"]:
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return track_info["data"][0]["freeTrialInfo"]["end"] - track_info["data"][0]["freeTrialInfo"]["start"]
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else:
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return int(song_info["songs"][0]["dt"] / 1000)
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async def netease_down(track_info: dict, song_info: dict) -> str:
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if not isfile(f'data{sep}{song_info["songs"][0]["name"]}.{track_info["data"][0]["type"]}'):
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# Downloding source audio
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download_by_url(track_info["data"][0]["url"],
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f'data{sep}{song_info["songs"][0]["name"]}.{track_info["data"][0]["type"]}')
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# Downloading cover
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download_by_url(song_info["songs"][0]["al"]["picUrl"],
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f'data{sep}{song_info["songs"][0]["name"]}.jpg')
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with open(f'data{sep}{song_info["songs"][0]["name"]}.jpg', 'rb') as f:
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picData = f.read()
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# 设置标签
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info = {'picData': picData,
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'title': song_info["songs"][0]["name"],
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'artist': gen_author(song_info)}
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songFile = ID3(f'data{sep}{song_info["songs"][0]["name"]}.{track_info["data"][0]["type"]}')
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songFile['APIC'] = APIC( # 插入封面
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encoding=3,
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mime='image/jpeg',
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type=3,
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desc=u'Cover',
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data=info['picData']
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)
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songFile['TIT2'] = TIT2( # 插入歌名
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encoding=3,
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text=info['title']
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)
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songFile['TPE1'] = TPE1( # 插入第一演奏家、歌手、等
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encoding=3,
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text=info['artist']
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)
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songFile.save()
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# 返回
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return f'data{sep}{song_info["songs"][0]["name"]}.{track_info["data"][0]["type"]}'
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ned_help_msg = f"""
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网易云搜/点歌。
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i.e.
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`-{alias_command('ned')} 失眠飞行 兔籽鲸 / 雨客Yoker` # 通过歌曲名称+歌手（可选）点歌
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`-{alias_command('ned')} 1430702717` # 通过歌曲 ID 点歌
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`-{alias_command('ned')} login` # 显示登录信息
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`-{alias_command('ned')} login 手机号码 密码` # 登录账号
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`-{alias_command('ned')} clear` # 手动清除缓存
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"""
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@listener(is_plugin=True, outgoing=True, command=alias_command("ned"),
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description=ned_help_msg,
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parameters="{关键词/id}/{login <账号> <密码>}/{clear}")
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async def ned(context):
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if not cc_imported:
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await context.edit(f"[!] Please run `-sh {executable} -m pip install requests pycryptodome tqdm mutagen` "
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f"and run `-sh {executable} -m pip install git+https://github.com/Xtao-Labs/pyncm.git` "
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f"and then restart pagermaid.")
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return
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if len(context.parameter) < 1:
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# 使用方法
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await context.edit(ned_help_msg)
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return
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# 加载登录信息
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if isfile(f"data{sep}session.ncm"):
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with open(f"data{sep}session.ncm") as f:
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SetCurrentSession(LoadSessionFromString(f.read()))
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# 处理账号登录
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if context.parameter[0] == "login":
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# 显示登录信息
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if len(context.parameter) == 1:
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login_info = GetCurrentSession().login_info
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if login_info["success"]:
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# 获取VIP类型
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if login_info['content']['account']['vipType'] != 0:
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vip_type = "**VIP**"
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else:
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vip_type = "**普通**"
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# 获取账号创建时间
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time = strftime("%Y-%m-%d %H:%M:%S", localtime(login_info['content']['account']['createTime'] / 1000))
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if context.is_group:
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await context.edit(f"[ned] 已登录{vip_type}账号，账号创建时间：`{time}`")
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else:
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await context.edit(f"[ned] 已登录{vip_type}账号：`{login_info['content']['profile']['nickname']}`，"
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f"账号创建时间：`{time}`")
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else:
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await context.edit(f"[ned] **未登录/登录失败**，额外信息：`{login_info['content']}`")
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return
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# 过滤空参数
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if len(context.parameter) == 2:
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# 登录命令格式错误
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await context.edit(f"**使用方法:** `-{alias_command('ned')} <账号> <密码>`")
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return
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# 开始登录
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try:
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apis.login.LoginViaCellphone(context.parameter[1], context.parameter[2])
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except LoginFailedException:
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await context.edit("**登录失败**，请检查账号密码是否正确。")
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return
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# 获取登录信息
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login_info = GetCurrentSession().login_info
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# 获取VIP类型
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if login_info['content']['account']['vipType'] != 0:
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vip_type = "**VIP**"
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else:
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vip_type = "**普通**"
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# 获取账号创建时间
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time = strftime("%Y-%m-%d %H:%M:%S", localtime(login_info['content']['account']['createTime']/1000))
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if context.is_group:
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await context.edit(f"[ned] **登录成功**，已登录{vip_type}账号，账号创建时间：`{time}`")
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else:
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await context.edit(f"[ned] **登录成功**，已登录{vip_type}账号：`{login_info['content']['profile']['nickname']}`，"
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f"账号创建时间：`{time}`")
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# 保存登录信息
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with open(f"data{sep}session.ncm", 'w+') as f:
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f.write(DumpSessionAsString(GetCurrentSession()))
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return
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if context.parameter[0] == "clear":
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# 清除歌曲缓存
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for i in listdir("data"):
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if i.find(".mp3") != -1 or i.find(".jpg") != -1:
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remove(f"data{sep}{i}")
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await context.edit("**已清除缓存**")
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return
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# 搜索歌曲
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song_id = context.arguments
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# id
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if song_id.isdigit():
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song_id = int(song_id)
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else:
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search_data = apis.cloudsearch.GetSearchResult(song_id, CloudSearchType(1), 1)
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if len(search_data["result"]["songs"]) == 1:
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song_id = search_data["result"]["songs"][0]["id"]
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else:
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await context.edit(f"**没有找到歌曲**，请检查歌曲名称是否正确。")
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return
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# 获取歌曲信息小于等于 320k HQ
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track_info = apis.track.GetTrackAudio([song_id])
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# 获取歌曲详情
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song_info = apis.track.GetTrackDetail([song_id])
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if track_info["data"][0]["code"] == 404:
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await context.edit(f"**没有找到歌曲**，请检查歌曲id是否正确。")
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return
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await context.edit(f"正在下载歌曲：**{song_info['songs'][0]['name']} - {gen_author(song_info)}**")
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# 下载歌曲并且设置歌曲标签
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path = await netease_down(track_info, song_info)
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await context.edit("正在上传歌曲。。。")
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# 上传歌曲
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cap_ = ""
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# 提醒登录VIP账号
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if track_info["data"][0]["freeTrialInfo"]:
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cap_ = f"**非VIP，正在试听 {track_info['data'][0]['freeTrialInfo']['start']}s ~ " \
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f"{track_info['data'][0]['freeTrialInfo']['end']}s**\n"
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cap = f"「**{song_info['songs'][0]['name']}**」\n" \
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f"{gen_author(song_info)}\n" \
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f"\n{cap_}" \
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f"#netease #{int(track_info['data'][0]['br'] / 1000)}kbps #{track_info['data'][0]['type']}"
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await context.client.send_file(
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context.chat_id,
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path,
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caption=cap,
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link_preview=False,
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force_document=False,
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thumb=path[:-3] + 'jpg',
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attributes=(DocumentAttributeAudio(
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get_duration(song_info, track_info), False, song_info['songs'][0]['name'], gen_author(song_info)),)
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)
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await context.delete()
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# 过多文件自动清理
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if len(listdir("data")) > 100:
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for i in listdir("data"):
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if i.find(".mp3") != -1 or i.find(".jpg") != -1:
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remove(f"data{sep}{i}")
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msg = await context.respond("**已清除缓存**")
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await sleep(3)
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await msg.delete()
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