mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-08-29 20:17:13 +08:00
- mTorrent 字幕链接解析下沉为 IndexerModule.site_subtitle_links,subtitle 模块自行跳过 API 站点 - TMDB/MusicBrainz 识别缓存管理改为模块方法(tmdb_cache_*/music_cache_*)经 run_module 分发 - WechatClawBot 客户端查找/临时客户端/缓存迁移内聚为 wechatclawbot_* 模块方法, chain 移除 WechatClawBot 类与 ModuleManager 内省 - LISTENBRAINZ_* 常量迁至 schemas/types.py,模块与链层再导入保持兼容 - TMDbException 升为 schemas/exception.py 跨层契约,vendored 异常保持类身份一致 - 架构守护测试新增 test_chain_does_not_import_module_internals(共 18 项) - 文档同步:chain->module 仅允许 run_module 分发,直接导入禁止
224 lines
6.6 KiB
Python
224 lines
6.6 KiB
Python
from typing import List, Any, Optional
|
|
|
|
from fastapi import Depends
|
|
|
|
from app import schemas
|
|
from app.api.response import ResponseAPIRouter
|
|
from app.chain.tmdb import TmdbChain
|
|
from app.runtime.config import settings
|
|
from app.application.security.access import verify_token
|
|
from app.db.models.user import User
|
|
from app.db.oper.systemconfig import SystemConfigOper
|
|
from app.api.deps import get_current_active_superuser_async
|
|
from app.schemas.types import MediaType, SystemConfigKey
|
|
|
|
router = ResponseAPIRouter()
|
|
|
|
|
|
@router.get(
|
|
"/cache",
|
|
summary="查询 TheMovieDb 识别缓存",
|
|
response_model=schemas.Response[schemas.TmdbRecognitionCacheData],
|
|
)
|
|
async def tmdb_recognition_cache(
|
|
_: User = Depends(get_current_active_superuser_async),
|
|
) -> schemas.Response:
|
|
"""查询可管理的 TheMovieDb 识别缓存。"""
|
|
cache_items = TmdbChain().cache_items()
|
|
recognized_count = sum(1 for item in cache_items if item["tmdb_id"])
|
|
return schemas.Response(
|
|
success=True,
|
|
data={
|
|
"count": len(cache_items),
|
|
"recognized": recognized_count,
|
|
"unrecognized": len(cache_items) - recognized_count,
|
|
"shared_recognized": SystemConfigOper().get(
|
|
SystemConfigKey.MediaRecognizeShareCount
|
|
) or 0,
|
|
"shared_recognize_enabled": settings.MEDIA_RECOGNIZE_SHARE,
|
|
"data": cache_items,
|
|
},
|
|
)
|
|
|
|
|
|
@router.delete(
|
|
"/cache/{cache_key:path}",
|
|
summary="删除指定 TheMovieDb 识别缓存",
|
|
response_model=schemas.Response[None],
|
|
)
|
|
async def delete_tmdb_recognition_cache(
|
|
cache_key: str,
|
|
_: User = Depends(get_current_active_superuser_async),
|
|
) -> schemas.Response:
|
|
"""按缓存键删除单条 TheMovieDb 识别缓存。"""
|
|
deleted_item = TmdbChain().delete_cache(cache_key)
|
|
if not deleted_item:
|
|
return schemas.Response(success=False, message="TheMovieDb 识别缓存不存在")
|
|
return schemas.Response(success=True, message="TheMovieDb 识别缓存删除成功")
|
|
|
|
|
|
@router.delete(
|
|
"/cache", summary="清空 TheMovieDb 识别缓存", response_model=schemas.Response[None]
|
|
)
|
|
async def clear_tmdb_recognition_cache(
|
|
_: User = Depends(get_current_active_superuser_async),
|
|
) -> schemas.Response:
|
|
"""清空全部 TheMovieDb 识别缓存。"""
|
|
TmdbChain().clear_cache()
|
|
return schemas.Response(success=True, message="TheMovieDb 识别缓存清理完成")
|
|
|
|
|
|
@router.get(
|
|
"/seasons/{tmdbid}", summary="TMDB所有季", response_model=List[schemas.TmdbSeason]
|
|
)
|
|
async def tmdb_seasons(
|
|
tmdbid: int, _: schemas.TokenPayload = Depends(verify_token)
|
|
) -> Any:
|
|
"""
|
|
根据TMDBID查询themoviedb所有季信息
|
|
"""
|
|
seasons_info = await TmdbChain().async_tmdb_seasons(tmdbid=tmdbid)
|
|
if seasons_info:
|
|
return seasons_info
|
|
return []
|
|
|
|
|
|
@router.get(
|
|
"/similar/{tmdbid}/{type_name}",
|
|
summary="类似电影/电视剧",
|
|
response_model=List[schemas.MediaInfo],
|
|
)
|
|
async def tmdb_similar(
|
|
tmdbid: int, type_name: str, _: schemas.TokenPayload = Depends(verify_token)
|
|
) -> Any:
|
|
"""
|
|
根据TMDBID查询类似电影/电视剧,type_name: 电影/电视剧
|
|
"""
|
|
mediatype = MediaType(type_name)
|
|
if mediatype == MediaType.MOVIE:
|
|
medias = await TmdbChain().async_movie_similar(tmdbid=tmdbid)
|
|
elif mediatype == MediaType.TV:
|
|
medias = await TmdbChain().async_tv_similar(tmdbid=tmdbid)
|
|
else:
|
|
return []
|
|
if medias:
|
|
return [media.to_dict() for media in medias]
|
|
return []
|
|
|
|
|
|
@router.get(
|
|
"/recommend/{tmdbid}/{type_name}",
|
|
summary="推荐电影/电视剧",
|
|
response_model=List[schemas.MediaInfo],
|
|
)
|
|
async def tmdb_recommend(
|
|
tmdbid: int, type_name: str, _: schemas.TokenPayload = Depends(verify_token)
|
|
) -> Any:
|
|
"""
|
|
根据TMDBID查询推荐电影/电视剧,type_name: 电影/电视剧
|
|
"""
|
|
mediatype = MediaType(type_name)
|
|
if mediatype == MediaType.MOVIE:
|
|
medias = await TmdbChain().async_movie_recommend(tmdbid=tmdbid)
|
|
elif mediatype == MediaType.TV:
|
|
medias = await TmdbChain().async_tv_recommend(tmdbid=tmdbid)
|
|
else:
|
|
return []
|
|
if medias:
|
|
return [media.to_dict() for media in medias]
|
|
return []
|
|
|
|
|
|
@router.get(
|
|
"/collection/{collection_id}",
|
|
summary="系列合集详情",
|
|
response_model=List[schemas.MediaInfo],
|
|
)
|
|
async def tmdb_collection(
|
|
collection_id: int,
|
|
page: Optional[int] = 1,
|
|
count: Optional[int] = 20,
|
|
_: schemas.TokenPayload = Depends(verify_token),
|
|
) -> Any:
|
|
"""
|
|
根据合集ID查询合集详情
|
|
"""
|
|
medias = await TmdbChain().async_tmdb_collection(collection_id=collection_id)
|
|
if medias:
|
|
return [media.to_dict() for media in medias][(page - 1) * count : page * count]
|
|
return []
|
|
|
|
|
|
@router.get(
|
|
"/credits/{tmdbid}/{type_name}",
|
|
summary="演员阵容",
|
|
response_model=List[schemas.MediaPerson],
|
|
)
|
|
async def tmdb_credits(
|
|
tmdbid: int,
|
|
type_name: str,
|
|
page: Optional[int] = 1,
|
|
_: schemas.TokenPayload = Depends(verify_token),
|
|
) -> Any:
|
|
"""
|
|
根据TMDBID查询演员阵容,type_name: 电影/电视剧
|
|
"""
|
|
mediatype = MediaType(type_name)
|
|
if mediatype == MediaType.MOVIE:
|
|
persons = await TmdbChain().async_movie_credits(tmdbid=tmdbid, page=page)
|
|
elif mediatype == MediaType.TV:
|
|
persons = await TmdbChain().async_tv_credits(tmdbid=tmdbid, page=page)
|
|
else:
|
|
return []
|
|
return persons or []
|
|
|
|
|
|
@router.get(
|
|
"/person/{person_id}", summary="人物详情", response_model=schemas.MediaPerson
|
|
)
|
|
async def tmdb_person(
|
|
person_id: int, _: schemas.TokenPayload = Depends(verify_token)
|
|
) -> Any:
|
|
"""
|
|
根据人物ID查询人物详情
|
|
"""
|
|
return await TmdbChain().async_person_detail(person_id=person_id)
|
|
|
|
|
|
@router.get(
|
|
"/person/credits/{person_id}",
|
|
summary="人物参演作品",
|
|
response_model=List[schemas.MediaInfo],
|
|
)
|
|
async def tmdb_person_credits(
|
|
person_id: int,
|
|
page: Optional[int] = 1,
|
|
_: schemas.TokenPayload = Depends(verify_token),
|
|
) -> Any:
|
|
"""
|
|
根据人物ID查询人物参演作品
|
|
"""
|
|
medias = await TmdbChain().async_person_credits(person_id=person_id, page=page)
|
|
if medias:
|
|
return [media.to_dict() for media in medias]
|
|
return []
|
|
|
|
|
|
@router.get(
|
|
"/{tmdbid}/{season}",
|
|
summary="TMDB季所有集",
|
|
response_model=List[schemas.TmdbEpisode],
|
|
)
|
|
async def tmdb_season_episodes(
|
|
tmdbid: int,
|
|
season: int,
|
|
episode_group: Optional[str] = None,
|
|
_: schemas.TokenPayload = Depends(verify_token),
|
|
) -> Any:
|
|
"""
|
|
根据TMDBID查询某季的所有信信息
|
|
"""
|
|
return await TmdbChain().async_tmdb_episodes(
|
|
tmdbid=tmdbid, season=season, episode_group=episode_group
|
|
)
|