Files
MoviePilot/app/api/endpoints/recommend.py
2025-07-31 09:50:49 +08:00

192 lines
8.4 KiB
Python

from typing import Any, List, Optional
from fastapi import APIRouter, Depends
from app import schemas
from app.chain.recommend import RecommendChain
from app.core.event import eventmanager
from app.core.security import verify_token
from app.schemas import RecommendSourceEventData
from app.schemas.types import ChainEventType
router = APIRouter()
@router.get("/source", summary="获取推荐数据源", response_model=List[schemas.RecommendMediaSource])
def source(_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
获取推荐数据源
"""
# 广播事件,请示额外的推荐数据源支持
event_data = RecommendSourceEventData()
event = eventmanager.send_event(ChainEventType.RecommendSource, event_data)
# 使用事件返回的上下文数据
if event and event.event_data:
event_data: RecommendSourceEventData = event.event_data
if event_data.extra_sources:
return event_data.extra_sources
return []
@router.get("/bangumi_calendar", summary="Bangumi每日放送", response_model=List[schemas.MediaInfo])
async def bangumi_calendar(page: Optional[int] = 1,
count: Optional[int] = 30,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
浏览Bangumi每日放送
"""
return await RecommendChain().async_bangumi_calendar(page=page, count=count)
@router.get("/douban_showing", summary="豆瓣正在热映", response_model=List[schemas.MediaInfo])
async def douban_showing(page: Optional[int] = 1,
count: Optional[int] = 30,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
浏览豆瓣正在热映
"""
return await RecommendChain().async_douban_movie_showing(page=page, count=count)
@router.get("/douban_movies", summary="豆瓣电影", response_model=List[schemas.MediaInfo])
async def douban_movies(sort: Optional[str] = "R",
tags: Optional[str] = "",
page: Optional[int] = 1,
count: Optional[int] = 30,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
浏览豆瓣电影信息
"""
return await RecommendChain().async_douban_movies(sort=sort, tags=tags, page=page, count=count)
@router.get("/douban_tvs", summary="豆瓣剧集", response_model=List[schemas.MediaInfo])
async def douban_tvs(sort: Optional[str] = "R",
tags: Optional[str] = "",
page: Optional[int] = 1,
count: Optional[int] = 30,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
浏览豆瓣剧集信息
"""
return await RecommendChain().async_douban_tvs(sort=sort, tags=tags, page=page, count=count)
@router.get("/douban_movie_top250", summary="豆瓣电影TOP250", response_model=List[schemas.MediaInfo])
async def douban_movie_top250(page: Optional[int] = 1,
count: Optional[int] = 30,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
浏览豆瓣剧集信息
"""
return await RecommendChain().async_douban_movie_top250(page=page, count=count)
@router.get("/douban_tv_weekly_chinese", summary="豆瓣国产剧集周榜", response_model=List[schemas.MediaInfo])
async def douban_tv_weekly_chinese(page: Optional[int] = 1,
count: Optional[int] = 30,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
中国每周剧集口碑榜
"""
return await RecommendChain().async_douban_tv_weekly_chinese(page=page, count=count)
@router.get("/douban_tv_weekly_global", summary="豆瓣全球剧集周榜", response_model=List[schemas.MediaInfo])
async def douban_tv_weekly_global(page: Optional[int] = 1,
count: Optional[int] = 30,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
全球每周剧集口碑榜
"""
return await RecommendChain().async_douban_tv_weekly_global(page=page, count=count)
@router.get("/douban_tv_animation", summary="豆瓣动画剧集", response_model=List[schemas.MediaInfo])
async def douban_tv_animation(page: Optional[int] = 1,
count: Optional[int] = 30,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
热门动画剧集
"""
return await RecommendChain().async_douban_tv_animation(page=page, count=count)
@router.get("/douban_movie_hot", summary="豆瓣热门电影", response_model=List[schemas.MediaInfo])
async def douban_movie_hot(page: Optional[int] = 1,
count: Optional[int] = 30,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
热门电影
"""
return await RecommendChain().async_douban_movie_hot(page=page, count=count)
@router.get("/douban_tv_hot", summary="豆瓣热门电视剧", response_model=List[schemas.MediaInfo])
async def douban_tv_hot(page: Optional[int] = 1,
count: Optional[int] = 30,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
热门电视剧
"""
return await RecommendChain().async_douban_tv_hot(page=page, count=count)
@router.get("/tmdb_movies", summary="TMDB电影", response_model=List[schemas.MediaInfo])
async def tmdb_movies(sort_by: Optional[str] = "popularity.desc",
with_genres: Optional[str] = "",
with_original_language: Optional[str] = "",
with_keywords: Optional[str] = "",
with_watch_providers: Optional[str] = "",
vote_average: Optional[float] = 0.0,
vote_count: Optional[int] = 0,
release_date: Optional[str] = "",
page: Optional[int] = 1,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
浏览TMDB电影信息
"""
return await RecommendChain().async_tmdb_movies(sort_by=sort_by,
with_genres=with_genres,
with_original_language=with_original_language,
with_keywords=with_keywords,
with_watch_providers=with_watch_providers,
vote_average=vote_average,
vote_count=vote_count,
release_date=release_date,
page=page)
@router.get("/tmdb_tvs", summary="TMDB剧集", response_model=List[schemas.MediaInfo])
async def tmdb_tvs(sort_by: Optional[str] = "popularity.desc",
with_genres: Optional[str] = "",
with_original_language: Optional[str] = "",
with_keywords: Optional[str] = "",
with_watch_providers: Optional[str] = "",
vote_average: Optional[float] = 0.0,
vote_count: Optional[int] = 0,
release_date: Optional[str] = "",
page: Optional[int] = 1,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
浏览TMDB剧集信息
"""
return await RecommendChain().async_tmdb_tvs(sort_by=sort_by,
with_genres=with_genres,
with_original_language=with_original_language,
with_keywords=with_keywords,
with_watch_providers=with_watch_providers,
vote_average=vote_average,
vote_count=vote_count,
release_date=release_date,
page=page)
@router.get("/tmdb_trending", summary="TMDB流行趋势", response_model=List[schemas.MediaInfo])
async def tmdb_trending(page: Optional[int] = 1,
_: schemas.TokenPayload = Depends(verify_token)) -> Any:
"""
TMDB流行趋势
"""
return await RecommendChain().async_tmdb_trending(page=page)