|
"""
|
|
bilibili_api.video_zone
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|
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分区相关操作，与频道不互通。
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|
"""
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|
|
|
import os
|
|
import copy
|
|
import enum
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|
import json
|
|
from typing import Dict, List, Tuple, Union
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|
|
from .utils.utils import get_api
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from .exceptions import ArgsException
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from .utils.credential import Credential
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from .utils.network import Api
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API = get_api("video_zone")
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def get_zone_info_by_tid(tid: int) -> Tuple[Union[dict, None], Union[dict, None]]:
|
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"""
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|
根据 tid 获取分区信息。
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|
|
|
Args:
|
|
tid (int): 频道的 tid。
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|
Returns:
|
|
`Tuple[dict | None, dict | None]`: 第一个是主分区，第二个是子分区，没有时返回 None。
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|
"""
|
|
with open(
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os.path.join(os.path.dirname(__file__), "data/video_zone.json"), encoding="utf8"
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|
) as f:
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channel = json.loads(f.read())
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for main_ch in channel:
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|
if "tid" not in main_ch:
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continue
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if tid == int(main_ch["tid"]):
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|
return main_ch, None
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|
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if "sub" in main_ch.keys():
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|
for sub_ch in main_ch["sub"]:
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|
if "tid" not in sub_ch:
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|
continue
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if tid == sub_ch["tid"]:
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return main_ch, sub_ch
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else:
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|
return None, None
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|
|
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def get_zone_info_by_name(name: str) -> Tuple[Union[dict, None], Union[dict, None]]:
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|
"""
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|
根据分区名称获取分区信息。
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|
|
|
Args:
|
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name (str): 频道的名称。
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|
|
|
Returns:
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Tuple[dict | None, dict | None]: 第一个是主分区，第二个是子分区，没有时返回 None。
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|
"""
|
|
with open(
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|
os.path.join(os.path.dirname(__file__), "data/video_zone.json"), encoding="utf8"
|
|
) as f:
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channel = json.loads(f.read())
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for main_ch in channel:
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|
if name in main_ch["name"]:
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return main_ch, None
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if "sub" in main_ch.keys():
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|
for sub_ch in main_ch["sub"]:
|
|
if name in sub_ch["name"]:
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return main_ch, sub_ch
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else:
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|
return None, None
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async def get_zone_top10(
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tid: int, day: int = 7, credential: Union[Credential, None] = None
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|
) -> dict:
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"""
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|
获取分区前十排行榜。
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|
|
Args:
|
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tid (int) : 频道的 tid。
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|
|
day (int, optional) : 3 天排行还是 7 天排行。 Defaults to 7.
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|
|
credential (Credential | None, optional): Credential 类。Defaults to None.
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|
|
Returns:
|
|
list: 前 10 的视频信息。
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|
"""
|
|
if credential is None:
|
|
credential = Credential()
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if day not in (3, 7):
|
|
raise ArgsException("参数 day 只能是 3，7。")
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|
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api = API["ranking"]["get_top10"]
|
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params = {"rid": tid, "day": day}
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return await Api(**api, credential=credential).update_params(**params).result
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|
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def get_zone_list() -> List[Dict]:
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|
"""
|
|
获取所有分区的数据
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|
|
|
Returns:
|
|
List[dict]: 所有分区的数据
|
|
"""
|
|
with open(
|
|
os.path.join(os.path.dirname(__file__), "data/video_zone.json"), encoding="utf8"
|
|
) as f:
|
|
channel = json.loads(f.read())
|
|
channel_list = []
|
|
for channel_big in channel:
|
|
channel_big_copy = copy.copy(channel_big)
|
|
channel_list.append(channel_big_copy)
|
|
if "sub" in channel_big.keys():
|
|
channel_big_copy.pop("sub")
|
|
for channel_sub in channel_big["sub"]:
|
|
channel_sub_copy = copy.copy(channel_sub)
|
|
channel_sub_copy["father"] = channel_big_copy
|
|
channel_list.append(channel_sub_copy)
|
|
return channel_list
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|
|
|
|
|
def get_zone_list_sub() -> dict:
|
|
"""
|
|
获取所有分区的数据
|
|
含父子关系（即一层次只有主分区）
|
|
|
|
Returns:
|
|
dict: 所有分区的数据
|
|
"""
|
|
with open(
|
|
os.path.join(os.path.dirname(__file__), "data/video_zone.json"), encoding="utf8"
|
|
) as f:
|
|
channel = json.loads(f.read())
|
|
return channel
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|
|
|
|
|
async def get_zone_videos_count_today(
|
|
credential: Union[Credential, None] = None
|
|
) -> dict:
|
|
"""
|
|
获取每个分区当日最新投稿数量
|
|
|
|
Args:
|
|
credential (Credential | None): 凭据类
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|
|
|
Returns:
|
|
dict: 调用 API 返回的结果
|
|
"""
|
|
credential = credential if credential else Credential()
|
|
api = API["count"]
|
|
return (await Api(**api, credential=credential).result)["region_count"]
|
|
|
|
|
|
async def get_zone_new_videos(tid: int, page_num: int = 1, page_size: int = 10) -> dict:
|
|
"""
|
|
获取分区最新投稿
|
|
|
|
Args:
|
|
tid (int) : 分区 id
|
|
|
|
page_num (int) : 第几页. Defaults to 1.
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|
|
|
page_size (int) : 每页的数据大小. Defaults to 10.
|
|
|
|
Returns:
|
|
dict: 调用 API 返回的结果
|
|
"""
|
|
api = API["new"]
|
|
params = {"rid": tid, "pn": page_num, "ps": page_size}
|
|
return await Api(**api).update_params(**params).result
|
|
|
|
|
|
async def get_zone_hot_tags(tid: int) -> List[dict]:
|
|
"""
|
|
获取分区热门标签
|
|
|
|
Args:
|
|
tid (int) : 分区 id
|
|
|
|
Returns:
|
|
List[dict]: 热门标签
|
|
"""
|
|
|
|
api = API["get_hot_tags"]
|
|
params = {"rid": tid}
|
|
return (await Api(**api).update_params(**params).result)[0]
|
|
|
|
|
|
class VideoZoneTypes(enum.Enum):
|
|
"""
|
|
所有分区枚举
|
|
|
|
- MAINPAGE: 主页
|
|
- ANIME: 番剧
|
|
- ANIME_SERIAL: 连载中番剧
|
|
- ANIME_FINISH: 已完结番剧
|
|
- ANIME_INFORMATION: 资讯
|
|
- ANIME_OFFICAL: 官方延伸
|
|
- MOVIE: 电影
|
|
- GUOCHUANG: 国创
|
|
- GUOCHUANG_CHINESE: 国产动画
|
|
- GUOCHUANG_ORIGINAL: 国产原创相关
|
|
- GUOCHUANG_PUPPETRY: 布袋戏
|
|
- GUOCHUANG_MOTIONCOMIC: 动态漫·广播剧
|
|
- GUOCHUANG_INFORMATION: 资讯
|
|
- TELEPLAY: 电视剧
|
|
- DOCUMENTARY: 纪录片
|
|
- DOUGA: 动画
|
|
- DOUGA_MAD: MAD·AMV
|
|
- DOUGA_MMD: MMD·3D
|
|
- DOUGA_HANDDRAWN: 短片·手书
|
|
- DOUGA_VOICE: 配音
|
|
- DOUGA_GARAGE_KIT: 手办·模玩
|
|
- DOUGA_TOKUSATSU: 特摄
|
|
- DOUGA_ACGNTALKS: 动漫杂谈
|
|
- DOUGA_OTHER: 综合
|
|
- GAME: 游戏
|
|
- GAME_STAND_ALONE: 单机游戏
|
|
- GAME_ESPORTS: 电子竞技
|
|
- GAME_MOBILE: 手机游戏
|
|
- GAME_ONLINE: 网络游戏
|
|
- GAME_BOARD: 桌游棋牌
|
|
- GAME_GMV: GMV
|
|
- GAME_MUSIC: 音游
|
|
- GAME_MUGEN: Mugen
|
|
- KICHIKU: 鬼畜
|
|
- KICHIKU_GUIDE: 鬼畜调教
|
|
- KICHIKU_MAD: 音MAD
|
|
- KICHIKU_MANUAL_VOCALOID: 人力VOCALOID
|
|
- KICHIKU_THEATRE: 鬼畜剧场
|
|
- KICHIKU_COURSE: 教程演示
|
|
- MUSIC: 音乐
|
|
- MUSIC_ORIGINAL: 原创音乐
|
|
- MUSIC_COVER: 翻唱
|
|
- MUSIC_PERFORM: 演奏
|
|
- MUSIC_VOCALOID: VOCALOID·UTAU
|
|
- MUSIC_LIVE: 音乐现场
|
|
- MUSIC_MV: MV
|
|
- MUSIC_COMMENTARY: 乐评盘点
|
|
- MUSIC_TUTORIAL: 音乐教学
|
|
- MUSIC_OTHER: 音乐综合
|
|
- DANCE: 舞蹈
|
|
- DANCE_OTAKU: 宅舞
|
|
- DANCE_HIPHOP: 街舞
|
|
- DANCE_STAR: 明星舞蹈
|
|
- DANCE_CHINA: 中国舞
|
|
- DANCE_THREE_D: 舞蹈综合
|
|
- DANCE_DEMO: 舞蹈教程
|
|
- DANGE_GESTURES: 手势·网红舞
|
|
- CINEPHILE: 影视
|
|
- CINEPHILE_CINECISM: 影视杂谈
|
|
- CINEPHILE_MONTAGE: 影视剪辑
|
|
- CINEPHILE_SHORTFILM: 短片
|
|
- CINEPHILE_SHORTPLAY: 小剧场
|
|
- CINEPHILE_TRAILER_INFO: 预告·资讯
|
|
- ENT: 娱乐
|
|
- ENT_VARIETY: 综艺
|
|
- ENT_TALKER: 娱乐杂谈
|
|
- ENT_FANS: 粉丝创作
|
|
- ENT_CELEBRITY: 明星综合
|
|
- KNOWLEDGE: 知识
|
|
- KNOWLEDGE_SCIENCE: 科学科普
|
|
- KNOWLEDGE_SOCIAL_SCIENCE: 社科·法律·心理
|
|
- KNOWLEDGE_HUMANITY_HISTORY: 人文历史
|
|
- KNOWLEDGE_BUSINESS: 财经商业
|
|
- KNOWLEDGE_CAMPUS: 校园学习
|
|
- KNOWLEDGE_CAREER: 职业职场
|
|
- KNOWLEDGE_DESIGN: 设计·创意
|
|
- KNOWLEDGE_SKILL: 野生技能协会
|
|
- TECH: 科技
|
|
- TECH_DIGITAL: 数码
|
|
- TECH_APPLICATION: 软件应用
|
|
- TECH_COMPUTER_TECH: 计算机技术
|
|
- TECH_INDUSTRY: 科工机械
|
|
- INFORMATION: 资讯
|
|
- INFORMATION_HOTSPOT: 热点
|
|
- INFORMATION_GLOBAL: 环球
|
|
- INFORMATION_SOCIAL: 社会
|
|
- INFORMATION_MULTIPLE: 综合
|
|
- FOOD: 美食
|
|
- FOOD_MAKE: 美食制作
|
|
- FOOD_DETECTIVE: 美食侦探
|
|
- FOOD_MEASUREMENT: 美食测评
|
|
- FOOD_RURAL: 田园美食
|
|
- FOOD_RECORD: 美食记录
|
|
- LIFE: 生活
|
|
- LIFE_FUNNY: 搞笑
|
|
- LIFE_TRAVEL: 出行
|
|
- LIFE_RURALLIFE: 三农
|
|
- LIFE_HOME: 家居房产
|
|
- LIFE_HANDMAKE: 手工
|
|
- LIFE_PAINTING: 绘画
|
|
- LIFE_DAILY: 日常
|
|
- CAR: 汽车
|
|
- CAR_RACING: 赛车
|
|
- CAR_MODIFIEDVEHICLE: 改装玩车
|
|
- CAR_NEWENERGYVEHICLE: 新能源车
|
|
- CAR_TOURINGCAR: 房车
|
|
- CAR_MOTORCYCLE: 摩托车
|
|
- CAR_STRATEGY: 购车攻略
|
|
- CAR_LIFE: 汽车生活
|
|
- FASHION: 时尚
|
|
- FASHION_MAKEUP: 美妆护肤
|
|
- FASHION_COS: 仿妆cos
|
|
- FASHION_CLOTHING: 穿搭
|
|
- FASHION_TREND: 时尚潮流
|
|
- SPORTS: 运动
|
|
- SPORTS_BASKETBALL: 篮球
|
|
- SPORTS_FOOTBALL: 足球
|
|
- SPORTS_AEROBICS: 健身
|
|
- SPORTS_ATHLETIC: 竞技体育
|
|
- SPORTS_CULTURE: 运动文化
|
|
- SPORTS_COMPREHENSIVE: 运动综合
|
|
- ANIMAL: 动物圈
|
|
- ANIMAL_CAT: 喵星人
|
|
- ANIMAL_DOG: 汪星人
|
|
- ANIMAL_PANDA: 大熊猫
|
|
- ANIMAL_WILD_ANIMAL: 野生动物
|
|
- ANIMAL_REPTILES: 爬宠
|
|
- ANIMAL_COMPOSITE: 动物综合
|
|
- VLOG: VLOG
|
|
"""
|
|
|
|
MAINPAGE = 0
|
|
|
|
ANIME = 13
|
|
ANIME_SERIAL = 33
|
|
ANIME_FINISH = 32
|
|
ANIME_INFORMATION = 51
|
|
ANIME_OFFICAL = 152
|
|
|
|
MOVIE = 23
|
|
|
|
GUOCHUANG = 167
|
|
GUOCHUANG_CHINESE = 153
|
|
GUOCHUANG_ORIGINAL = 168
|
|
GUOCHUANG_PUPPETRY = 169
|
|
GUOCHUANG_MOTIONCOMIC = 195
|
|
GUOCHUANG_INFORMATION = 170
|
|
|
|
TELEPLAY = 11
|
|
|
|
DOCUMENTARY = 177
|
|
|
|
DOUGA = 1
|
|
DOUGA_MAD = 24
|
|
DOUGA_MMD = 25
|
|
DOUGA_HANDDRAWN = 47
|
|
DOUGA_VOICE = 257
|
|
DOUGA_GARAGE_KIT = 210
|
|
DOUGA_TOKUSATSU = 86
|
|
DOUGA_ACGNTALKS = 253
|
|
DOUGA_OTHER = 27
|
|
|
|
GAME = 4
|
|
GAME_STAND_ALONE = 17
|
|
GAME_ESPORTS = 171
|
|
GAME_MOBILE = 172
|
|
GAME_ONLINE = 65
|
|
GAME_BOARD = 173
|
|
GAME_GMV = 121
|
|
GAME_MUSIC = 136
|
|
GAME_MUGEN = 19
|
|
|
|
KICHIKU = 119
|
|
KICHIKU_GUIDE = 22
|
|
KICHIKU_MAD = 26
|
|
KICHIKU_MANUAL_VOCALOID = 126
|
|
KICHIKU_THEATRE = 216
|
|
KICHIKU_COURSE = 127
|
|
|
|
MUSIC = 3
|
|
MUSIC_ORIGINAL = 28
|
|
MUSIC_COVER = 31
|
|
MUSIC_PERFORM = 59
|
|
MUSIC_VOCALOID = 30
|
|
MUSIC_LIVE = 29
|
|
MUSIC_MV = 193
|
|
MUSIC_COMMENTARY = 243
|
|
MUSIC_TUTORIAL = 244
|
|
MUSIC_OTHER = 130
|
|
|
|
DANCE = 129
|
|
DANCE_OTAKU = 20
|
|
DANCE_HIPHOP = 198
|
|
DANCE_STAR = 199
|
|
DANCE_CHINA = 200
|
|
DANCE_THREE_D = 154
|
|
DANCE_DEMO = 156
|
|
DANCE_GESTURES = 255
|
|
|
|
CINEPHILE = 181
|
|
CINEPHILE_CINECISM = 182
|
|
CINEPHILE_MONTAGE = 183
|
|
CINEPHILE_SHORTPLAY = 85
|
|
CINEPHILE_SHORTFILM = 256
|
|
CINEPHILE_TRAILER_INFO = 184
|
|
|
|
ENT = 5
|
|
ENT_VARIETY = 71
|
|
ENT_TALKER = 241
|
|
ENT_FANS = 242
|
|
ENT_CELEBRITY = 137
|
|
|
|
KNOWLEDGE = 36
|
|
KNOWLEDGE_SCIENCE = 201
|
|
KNOWLEDGE_SOCIAL_SCIENCE = 124
|
|
KNOWLEDGE_HUMANITY_HISTORY = 228
|
|
KNOWLEDGE_BUSINESS = 207
|
|
KNOWLEDGE_CAMPUS = 208
|
|
KNOWLEDGE_CAREER = 209
|
|
KNOWLEDGE_DESIGN = 229
|
|
KNOWLEDGE_SKILL = 122
|
|
|
|
TECH = 188
|
|
TECH_DIGITAL = 95
|
|
TECH_APPLICATION = 230
|
|
TECH_COMPUTER_TECH = 231
|
|
TECH_INDUSTRY = 232
|
|
|
|
INFORMATION = 202
|
|
INFORMATION_HOTSPOT = 203
|
|
INFORMATION_GLOBAL = 204
|
|
INFORMATION_SOCIAL = 205
|
|
INFORMATION_MULTIPLE = 206
|
|
|
|
FOOD = 211
|
|
FOOD_MAKE = 76
|
|
FOOD_DETECTIVE = 212
|
|
FOOD_MEASUREMENT = 213
|
|
FOOD_RURAL = 214
|
|
FOOD_RECORD = 215
|
|
|
|
LIFE = 160
|
|
LIFE_FUNNY = 138
|
|
LIFE_TRAVEL = 250
|
|
LIFE_RURALLIFE = 251
|
|
LIFE_HOME = 239
|
|
LIFE_HANDMAKE = 161
|
|
LIFE_PAINTING = 162
|
|
LIFE_DAILY = 21
|
|
|
|
CAR = 223
|
|
CAR_RACING = 245
|
|
CAR_MODIFIEDVEHICLE = 246
|
|
CAR_NEWENERGYVEHICLE = 246
|
|
CAR_TOURINGCAR = 248
|
|
CAR_MOTORCYCLE = 240
|
|
CAR_STRATEGY = 227
|
|
CAR_LIFE = 176
|
|
|
|
FASHION = 155
|
|
FASHION_MAKEUP = 157
|
|
FASHION_COS = 252
|
|
FASHION_CLOTHING = 158
|
|
FASHION_TREND = 159
|
|
|
|
SPORTS = 234
|
|
SPORTS_BASKETBALL = 235
|
|
SPORTS_FOOTBALL = 249
|
|
SPORTS_AEROBICS = 164
|
|
SPORTS_ATHLETIC = 236
|
|
SPORTS_CULTURE = 237
|
|
SPORTS_COMPREHENSIVE = 238
|
|
|
|
ANIMAL = 217
|
|
ANIMAL_CAT = 218
|
|
ANIMAL_DOG = 219
|
|
ANIMAL_PANDA = 220
|
|
ANIMAL_WILD_ANIMAL = 221
|
|
ANIMAL_REPTILES = 222
|
|
ANIMAL_COMPOSITE = 75
|
|
|
|
VLOG = 19
|
|
|
