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"""
bilibili_api.video_zone
分区相关操作,与频道不互通。
"""
import os
import copy
import enum
import json
from typing import Dict, List, Tuple, Union
from .utils.utils import get_api
from .exceptions import ArgsException
from .utils.credential import Credential
from .utils.network import Api
API = get_api("video_zone")
def get_zone_info_by_tid(tid: int) -> Tuple[Union[dict, None], Union[dict, None]]:
"""
根据 tid 获取分区信息。
Args:
tid (int): 频道的 tid。
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。
"""
with open(
os.path.join(os.path.dirname(__file__), "data/video_zone.json"), encoding="utf8"
) as f:
channel = json.loads(f.read())
for main_ch in channel:
if "tid" not in main_ch:
continue
if tid == int(main_ch["tid"]):
return main_ch, None
# 搜索子分区
if "sub" in main_ch.keys():
for sub_ch in main_ch["sub"]:
if "tid" not in sub_ch:
continue
if tid == sub_ch["tid"]:
return main_ch, sub_ch
else:
return None, None
def get_zone_info_by_name(name: str) -> Tuple[Union[dict, None], Union[dict, None]]:
"""
根据分区名称获取分区信息。
Args:
name (str): 频道的名称。
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。
"""
with open(
os.path.join(os.path.dirname(__file__), "data/video_zone.json"), encoding="utf8"
) as f:
channel = json.loads(f.read())
for main_ch in channel:
if name in main_ch["name"]:
return main_ch, None
if "sub" in main_ch.keys():
for sub_ch in main_ch["sub"]:
if name in sub_ch["name"]:
return main_ch, sub_ch
else:
return None, None
async def get_zone_top10(
tid: int, day: int = 7, credential: Union[Credential, None] = None
) -> dict:
"""
获取分区前十排行榜。
Args:
tid (int) : 频道的 tid。
day (int, optional) : 3 天排行还是 7 天排行。 Defaults to 7.
credential (Credential | None, optional): Credential 类。Defaults to None.
Returns:
list: 前 10 的视频信息。
"""
if credential is None:
credential = Credential()
if day not in (3, 7):
raise ArgsException("参数 day 只能是 3,7。")
api = API["ranking"]["get_top10"]
params = {"rid": tid, "day": day}
return await Api(**api, credential=credential).update_params(**params).result
def get_zone_list() -> List[Dict]:
"""
获取所有分区的数据
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
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
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
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.
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