PagerMaid_Plugins/neteasedown.py

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# -*- coding: utf-8 -*-
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import base64
from asyncio import sleep
from os import sep, remove, listdir
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from os.path import isfile, exists
from sys import executable
from time import strftime, localtime
try:
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from mutagen.mp3 import EasyMP3
from mutagen.id3 import ID3, APIC
from mutagen.flac import FLAC, Picture
from mutagen.oggvorbis import OggVorbis
from pyncm import GetCurrentSession, apis, DumpSessionAsString, SetCurrentSession, LoadSessionFromString
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from pyncm.utils.helper import TrackHelper
from pyncm.apis import LoginFailedException
from pyncm.apis.cloudsearch import CloudSearchType
from pyncm.apis.login import LoginLogout
cc_imported = True
except ImportError:
print(f'[!] Please run {executable} -m pip install pyncm')
cc_imported = False
from telethon.tl.types import DocumentAttributeAudio
from pagermaid.listener import listener
from pagermaid.utils import alias_command, execute
def download_by_url(url, dest):
# Downloads generic content
response = GetCurrentSession().get(url, stream=True)
with open(dest, 'wb') as f:
for chunk in response.iter_content(1024 * 2 ** 10):
f.write(chunk) # write every 1MB read
return dest
def gen_author(song_info: dict) -> str:
data = []
for i in song_info["songs"][0]["ar"]:
data.append(i["name"])
return " ".join(data)
def get_duration(song_info: dict, track_info: dict) -> int:
if track_info["data"][0]["freeTrialInfo"]:
return track_info["data"][0]["freeTrialInfo"]["end"] - track_info["data"][0]["freeTrialInfo"]["start"]
else:
return int(song_info["songs"][0]["dt"] / 1000)
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def tag_audio(track, file: str, cover_img: str = ''):
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def write_keys(song):
# Write trackdatas
song['title'] = track.TrackName
song['artist'] = track.Artists
song['album'] = track.AlbumName
song['tracknumber'] = str(track.TrackNumber)
song['date'] = str(track.TrackPublishTime)
song.save()
def mp3():
song = EasyMP3(file)
write_keys(song)
if exists(cover_img):
song = ID3(file)
song.update_to_v23() # better compatibility over v2.4
song.add(APIC(encoding=3, mime='image/jpeg', type=3, desc='',
data=open(cover_img, 'rb').read()))
song.save(v2_version=3)
def flac():
song = FLAC(file)
write_keys(song)
if exists(cover_img):
pic = Picture()
pic.data = open(cover_img, 'rb').read()
pic.mime = 'image/jpeg'
song.add_picture(pic)
song.save()
def ogg():
song = OggVorbis(file)
write_keys(song)
if exists(cover_img):
pic = Picture()
pic.data = open(cover_img, 'rb').read()
pic.mime = 'image/jpeg'
song["metadata_block_picture"] = [base64.b64encode(pic.write()).decode('ascii')]
song.save()
format_ = file.split('.')[-1].upper()
for ext, method in [({'MP3'}, mp3), ({'FLAC'}, flac), ({'OGG', 'OGV'}, ogg)]:
if format_ in ext:
return method() or True
return False
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async def netease_down(track_info: dict, song_info: dict, song) -> str:
if not isfile(f'data{sep}{song_info["songs"][0]["name"]}.{track_info["data"][0]["type"]}'):
# Downloding source audio
download_by_url(track_info["data"][0]["url"],
f'data{sep}{song_info["songs"][0]["name"]}.{track_info["data"][0]["type"]}')
# Downloading cover
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if not isfile(f'data{sep}{song_info["songs"][0]["name"]}.jpg'):
download_by_url(song.AlbumCover,
f'data{sep}{song_info["songs"][0]["name"]}.jpg')
# 设置标签
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tag_audio(song, f'data{sep}{song_info["songs"][0]["name"]}.{track_info["data"][0]["type"]}',
f'data{sep}{song_info["songs"][0]["name"]}.jpg')
# 返回
return f'data{sep}{song_info["songs"][0]["name"]}.{track_info["data"][0]["type"]}'
ned_help_msg = f"""
网易云搜/点歌
i.e.
`-{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')} see you again -f` # 通过 -f 参数点播 flac 最高音质
`-{alias_command('ned')} 1430702717` # 通过歌曲 ID 点歌
`-{alias_command('ned')} login` # 显示登录信息
`-{alias_command('ned')} login 手机号码 密码` # 登录账号
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`-{alias_command('ned')} logout` # 登出
`-{alias_command('ned')} clear` # 手动清除缓存
"""
@listener(is_plugin=True, outgoing=True, command=alias_command("ned"),
description=ned_help_msg,
parameters="{关键词/id}/{login <账号> <密码>}/{clear}")
async def ned(context):
if not cc_imported:
await context.edit(f"[!] Please run `-sh {executable} -m pip install pyncm` "
f"and then restart pagermaid.")
return
if len(context.parameter) < 1:
# 使用方法
await context.edit(ned_help_msg)
return
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# 加载登录信息
if isfile(f"data{sep}session.ncm"):
with open(f"data{sep}session.ncm") as f:
SetCurrentSession(LoadSessionFromString(f.read()))
# 海外用户
GetCurrentSession().headers['X-Real-IP'] = '118.88.88.88'
# 处理账号登录
if context.parameter[0] == "login":
# 显示登录信息
if len(context.parameter) == 1:
login_info = GetCurrentSession().login_info
if login_info["success"]:
# 获取VIP类型
if login_info['content']['account']['vipType'] != 0:
vip_type = "**VIP**"
else:
vip_type = "**普通**"
# 获取账号创建时间
time = strftime("%Y-%m-%d %H:%M:%S", localtime(login_info['content']['account']['createTime'] / 1000))
if context.is_group:
await context.edit(f"[ned] 已登录{vip_type}账号,账号创建时间:`{time}`")
else:
await context.edit(f"[ned] 已登录{vip_type}账号:`{login_info['content']['profile']['nickname']}`"
f"账号创建时间:`{time}`")
else:
await context.edit(f"[ned] **未登录/登录失败**,额外信息:`{login_info['content']}`")
return
# 过滤空参数
if len(context.parameter) == 2:
# 登录命令格式错误
await context.edit(f"**使用方法:** `-{alias_command('ned')} <账号> <密码>`")
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return
# 开始登录
try:
apis.login.LoginViaCellphone(context.parameter[1], context.parameter[2])
except LoginFailedException:
await context.edit("**登录失败**,请检查账号密码是否正确。")
return
# 获取登录信息
login_info = GetCurrentSession().login_info
# 获取VIP类型
if login_info['content']['account']['vipType'] != 0:
vip_type = "**VIP**"
else:
vip_type = "**普通**"
# 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))
if context.is_group:
await context.edit(f"[ned] **登录成功**,已登录{vip_type}账号,账号创建时间:`{time}`")
else:
await context.edit(f"[ned] **登录成功**,已登录{vip_type}账号:`{login_info['content']['profile']['nickname']}`"
f"账号创建时间:`{time}`")
# 保存登录信息
with open(f"data{sep}session.ncm", 'w+') as f:
f.write(DumpSessionAsString(GetCurrentSession()))
return
elif context.parameter[0] == "logout":
# 登出
LoginLogout()
if isfile(f"data{sep}session.ncm"):
remove(f"data{sep}session.ncm")
return await context.edit("[ned] 账号登出成功。")
elif context.parameter[0] == "clear":
# 清除歌曲缓存
for i in listdir("data"):
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if i.find(".mp3") != -1 or i.find(".jpg") != -1 or i.find(".flac") != -1 or i.find(".ogg") != -1:
remove(f"data{sep}{i}")
await context.edit("[ned] **已清除缓存**")
return
# 搜索歌曲
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# 判断是否使用最高比特率解析
flac_mode = True if context.arguments.find("-f") != -1 else False
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song_id = context.arguments.replace("-f", "").replace("\u200b", "").strip()
# id
if song_id.isdigit():
song_id = int(song_id)
else:
search_data = apis.cloudsearch.GetSearchResult(song_id, CloudSearchType(1), 1)
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if search_data["result"]["songCount"] >= 1:
song_id = search_data["result"]["songs"][0]["id"]
else:
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
# 获取歌曲信息小于等于 320k HQ
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track_info = apis.track.GetTrackAudio([song_id], bitrate=3200 * 1000 if flac_mode else 320000)
# 获取歌曲详情
song_info = apis.track.GetTrackDetail([song_id])
if track_info["data"][0]["code"] == 404:
await context.edit(f"**没有找到歌曲**请检查歌曲id是否正确。")
return
await context.edit(f"正在下载歌曲:**{song_info['songs'][0]['name']} - {gen_author(song_info)}** "
f"{round(track_info['data'][0]['size'] / 1000 / 1000, 2)} MB")
# 下载歌曲并且设置歌曲标签
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song = TrackHelper(song_info['songs'][0])
# 转义
for char in song_info["songs"][0]["name"]:
if char in ['/', '\\', ':', '*', '?', '"', '<', '>', '|']:
song_info["songs"][0]["name"] = song_info["songs"][0]["name"].replace(char, '')
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path = await netease_down(track_info, song_info, song)
await context.edit("正在上传歌曲。。。")
# 上传歌曲
cap_ = ""
# 提醒登录VIP账号
if track_info["data"][0]["freeTrialInfo"]:
cap_ = f"**非VIP正在试听 {track_info['data'][0]['freeTrialInfo']['start']}s ~ \n" \
f"{track_info['data'][0]['freeTrialInfo']['end']}s**\n"
cap = f"「**{song_info['songs'][0]['name']}**」\n" \
f"{gen_author(song_info)}\n" \
f"文件大小:{round(track_info['data'][0]['size'] / 1000 / 1000, 2)} MB\n" \
f"\n{cap_}" \
f"#netease #{int(track_info['data'][0]['br'] / 1000)}kbps #{track_info['data'][0]['type']}"
await context.client.send_file(
context.chat_id,
path,
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reply_to=context.message.reply_to_msg_id,
caption=cap,
link_preview=False,
force_document=False,
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thumb=f'data{sep}{song_info["songs"][0]["name"]}.jpg',
attributes=(DocumentAttributeAudio(
get_duration(song_info, track_info), False, song_info['songs'][0]['name'], gen_author(song_info)),)
)
await context.delete()
# 过多文件自动清理
if len(listdir("data")) > 100:
for i in listdir("data"):
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if i.find(".mp3") != -1 or i.find(".jpg") != -1 or i.find(".flac") != -1 or i.find(".ogg") != -1:
remove(f"data{sep}{i}")
msg = await context.respond("[ned] **已自动清除缓存**")
await sleep(3)
await msg.delete()