82 lines
2.5 KiB
Python
82 lines
2.5 KiB
Python
from typing import List, Any
|
|
|
|
from fastapi import APIRouter, Depends
|
|
from fastapi import BackgroundTasks
|
|
|
|
from app import schemas
|
|
from app.chain.douban import DoubanChain
|
|
from app.chain.media import MediaChain
|
|
from app.core.context import MediaInfo
|
|
from app.db.models.user import User
|
|
from app.db.userauth import get_current_active_superuser
|
|
from app.db.userauth import get_current_active_user
|
|
|
|
router = APIRouter()
|
|
|
|
|
|
def start_douban_chain():
|
|
"""
|
|
启动链式任务
|
|
"""
|
|
DoubanChain().sync()
|
|
|
|
|
|
@router.get("/sync", response_model=schemas.Response)
|
|
async def sync_douban(
|
|
background_tasks: BackgroundTasks,
|
|
_: User = Depends(get_current_active_superuser)) -> Any:
|
|
"""
|
|
同步豆瓣想看
|
|
"""
|
|
background_tasks.add_task(start_douban_chain)
|
|
return schemas.Response(success=True, message="任务已启动")
|
|
|
|
|
|
@router.get("/doubanid", response_model=schemas.Context)
|
|
async def recognize_doubanid(doubanid: str,
|
|
_: User = Depends(get_current_active_user)) -> Any:
|
|
"""
|
|
根据豆瓣ID识别媒体信息
|
|
"""
|
|
# 识别媒体信息
|
|
context = MediaChain().recognize_by_doubanid(doubanid=doubanid)
|
|
return context.to_dict()
|
|
|
|
|
|
@router.get("/doubaninfo", response_model=schemas.MediaInfo)
|
|
async def douban_info(doubanid: str) -> Any:
|
|
"""
|
|
根据豆瓣ID查询豆瓣媒体信息
|
|
"""
|
|
doubaninfo = MediaChain().douban_info(doubanid=doubanid)
|
|
if doubaninfo:
|
|
return MediaInfo(douban_info=doubaninfo).to_dict()
|
|
else:
|
|
return schemas.MediaInfo()
|
|
|
|
|
|
@router.get("/doubanmovies", response_model=List[schemas.MediaInfo])
|
|
async def douban_movies(sort: str = "R",
|
|
tags: str = "",
|
|
start: int = 0,
|
|
count: int = 30,
|
|
_: User = Depends(get_current_active_user)) -> Any:
|
|
"""
|
|
浏览豆瓣电影信息
|
|
"""
|
|
movies = MediaChain().douban_movies(sort=sort, tags=tags, start=start, count=count)
|
|
return [movie.to_dict() for movie in movies]
|
|
|
|
|
|
@router.get("/doubantvs", response_model=List[schemas.MediaInfo])
|
|
async def douban_tvs(sort: str = "R",
|
|
tags: str = "",
|
|
start: int = 0,
|
|
count: int = 30,
|
|
_: User = Depends(get_current_active_user)) -> Any:
|
|
"""
|
|
浏览豆瓣剧集信息
|
|
"""
|
|
tvs = MediaChain().douban_tvs(sort=sort, tags=tags, start=start, count=count)
|
|
return [tv.to_dict() for tv in tvs]
|