65 lines
2.5 KiB
Python
65 lines
2.5 KiB
Python
from typing import List, Any
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from fastapi import APIRouter, Depends
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from sqlalchemy.orm import Session
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from app import schemas
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from app.chain.douban import DoubanChain
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from app.chain.search import SearchChain
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from app.core.security import verify_token
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from app.db import get_db
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from app.schemas.types import MediaType
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router = APIRouter()
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@router.get("/last", summary="查询搜索结果", response_model=List[schemas.Context])
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async def search_latest(db: Session = Depends(get_db),
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_: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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查询搜索结果
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"""
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torrents = SearchChain(db).last_search_results()
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return [torrent.to_dict() for torrent in torrents]
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@router.get("/media/{mediaid}", summary="精确搜索资源", response_model=List[schemas.Context])
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def search_by_tmdbid(mediaid: str,
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mtype: str = None,
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area: str = "title",
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db: Session = Depends(get_db),
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_: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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根据TMDBID/豆瓣ID精确搜索站点资源 tmdb:/douban:/
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"""
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if mediaid.startswith("tmdb:"):
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tmdbid = int(mediaid.replace("tmdb:", ""))
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if mtype:
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mtype = MediaType(mtype)
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torrents = SearchChain(db).search_by_tmdbid(tmdbid=tmdbid, mtype=mtype, area=area)
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elif mediaid.startswith("douban:"):
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doubanid = mediaid.replace("douban:", "")
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# 识别豆瓣信息
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context = DoubanChain(db).recognize_by_doubanid(doubanid)
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if not context or not context.media_info or not context.media_info.tmdb_id:
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return []
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torrents = SearchChain(db).search_by_tmdbid(tmdbid=context.media_info.tmdb_id,
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mtype=context.media_info.type,
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area=area)
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else:
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return []
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return [torrent.to_dict() for torrent in torrents]
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@router.get("/title", summary="模糊搜索资源", response_model=List[schemas.TorrentInfo])
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async def search_by_title(keyword: str = None,
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page: int = 0,
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site: int = None,
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db: Session = Depends(get_db),
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_: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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根据名称模糊搜索站点资源，支持分页，关键词为空是返回首页资源
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"""
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torrents = SearchChain(db).search_by_title(title=keyword, page=page, site=site)
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return [torrent.to_dict() for torrent in torrents]
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