mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-02-11 14:37:08 +08:00
247 lines
9.7 KiB
Python
247 lines
9.7 KiB
Python
from pathlib import Path
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from typing import List, Any, Union, Annotated, Optional
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from fastapi import APIRouter, Depends
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from app import schemas
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from app.chain.media import MediaChain
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from app.chain.tmdb import TmdbChain
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from app.core.config import settings
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from app.core.context import Context
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from app.core.event import eventmanager
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from app.core.metainfo import MetaInfo, MetaInfoPath
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from app.core.security import verify_token, verify_apitoken
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from app.schemas import MediaType, MediaRecognizeConvertEventData
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from app.schemas.types import ChainEventType
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router = APIRouter()
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@router.get("/recognize", summary="识别媒体信息（种子）", response_model=schemas.Context)
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async def recognize(title: str,
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subtitle: Optional[str] = None,
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_: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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根据标题、副标题识别媒体信息
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"""
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# 识别媒体信息
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metainfo = MetaInfo(title, subtitle)
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mediainfo = await MediaChain().async_recognize_by_meta(metainfo)
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if mediainfo:
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return Context(meta_info=metainfo, media_info=mediainfo).to_dict()
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return schemas.Context()
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@router.get("/recognize2", summary="识别种子媒体信息（API_TOKEN）", response_model=schemas.Context)
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async def recognize2(_: Annotated[str, Depends(verify_apitoken)],
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title: str,
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subtitle: Optional[str] = None
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) -> Any:
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"""
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根据标题、副标题识别媒体信息 API_TOKEN认证（?token=xxx）
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"""
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# 识别媒体信息
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return await recognize(title, subtitle)
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@router.get("/recognize_file", summary="识别媒体信息（文件）", response_model=schemas.Context)
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async def recognize_file(path: str,
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_: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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根据文件路径识别媒体信息
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"""
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# 识别媒体信息
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context = await MediaChain().async_recognize_by_path(path)
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if context:
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return context.to_dict()
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return schemas.Context()
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@router.get("/recognize_file2", summary="识别文件媒体信息（API_TOKEN）", response_model=schemas.Context)
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async def recognize_file2(path: str,
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_: Annotated[str, Depends(verify_apitoken)]) -> Any:
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"""
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根据文件路径识别媒体信息 API_TOKEN认证（?token=xxx）
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"""
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# 识别媒体信息
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return await recognize_file(path)
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@router.get("/search", summary="搜索媒体/人物信息", response_model=List[dict])
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async def search(title: str,
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type: Optional[str] = "media",
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page: int = 1,
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count: int = 8,
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_: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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模糊搜索媒体/人物信息列表 media：媒体信息，person：人物信息
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"""
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def __get_source(obj: Union[schemas.MediaInfo, schemas.MediaPerson, dict]):
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"""
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获取对象属性
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"""
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if isinstance(obj, dict):
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return obj.get("source")
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return obj.source
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result = []
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media_chain = MediaChain()
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if type == "media":
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_, medias = await media_chain.async_search(title=title)
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if medias:
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result = [media.to_dict() for media in medias]
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elif type == "collection":
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result = await media_chain.async_search_collections(name=title)
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else:
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result = await media_chain.async_search_persons(name=title)
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if result:
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# 按设置的顺序对结果进行排序
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setting_order = settings.SEARCH_SOURCE.split(',') or []
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sort_order = {}
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for index, source in enumerate(setting_order):
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sort_order[source] = index
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result = sorted(result, key=lambda x: sort_order.get(__get_source(x), 4))
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return result[(page - 1) * count:page * count]
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return []
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@router.post("/scrape/{storage}", summary="刮削媒体信息", response_model=schemas.Response)
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def scrape(fileitem: schemas.FileItem,
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storage: Optional[str] = "local",
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_: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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刮削媒体信息
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"""
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if not fileitem or not fileitem.path:
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return schemas.Response(success=False, message="刮削路径无效")
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chain = MediaChain()
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# 识别媒体信息
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scrape_path = Path(fileitem.path)
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meta = MetaInfoPath(scrape_path)
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mediainfo = chain.recognize_by_meta(meta)
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if not mediainfo:
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return schemas.Response(success=False, message="刮削失败，无法识别媒体信息")
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if storage == "local":
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if not scrape_path.exists():
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return schemas.Response(success=False, message="刮削路径不存在")
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# 手动刮削 (暂时使用同步版本，可以后续优化为异步)
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chain.scrape_metadata(fileitem=fileitem, meta=meta, mediainfo=mediainfo, overwrite=True)
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return schemas.Response(success=True, message=f"{fileitem.path} 刮削完成")
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@router.get("/category", summary="查询自动分类配置", response_model=dict)
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async def category(_: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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查询自动分类配置
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"""
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return MediaChain().media_category() or {}
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@router.get("/group/seasons/{episode_group}", summary="查询剧集组季信息", response_model=List[schemas.MediaSeason])
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async def group_seasons(episode_group: str, _: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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查询剧集组季信息（themoviedb）
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"""
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return await TmdbChain().async_tmdb_group_seasons(group_id=episode_group)
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@router.get("/groups/{tmdbid}", summary="查询媒体剧集组", response_model=List[dict])
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async def groups(tmdbid: int, _: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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查询媒体剧集组列表（themoviedb）
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"""
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mediainfo = await MediaChain().async_recognize_media(tmdbid=tmdbid, mtype=MediaType.TV)
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if not mediainfo:
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return []
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return mediainfo.episode_groups
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@router.get("/seasons", summary="查询媒体季信息", response_model=List[schemas.MediaSeason])
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async def seasons(mediaid: Optional[str] = None,
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title: Optional[str] = None,
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year: str = None,
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season: int = None,
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_: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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查询媒体季信息
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"""
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if mediaid:
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if mediaid.startswith("tmdb:"):
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tmdbid = int(mediaid[5:])
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seasons_info = await TmdbChain().async_tmdb_seasons(tmdbid=tmdbid)
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if seasons_info:
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if season:
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return [sea for sea in seasons_info if sea.season_number == season]
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return seasons_info
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if title:
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meta = MetaInfo(title)
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if year:
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meta.year = year
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mediainfo = await MediaChain().async_recognize_media(meta, mtype=MediaType.TV)
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if mediainfo:
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if settings.RECOGNIZE_SOURCE == "themoviedb":
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seasons_info = await TmdbChain().async_tmdb_seasons(tmdbid=mediainfo.tmdb_id)
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if seasons_info:
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if season:
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return [sea for sea in seasons_info if sea.season_number == season]
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return seasons_info
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else:
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sea = season or 1
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return [schemas.MediaSeason(
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season_number=sea,
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poster_path=mediainfo.poster_path,
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name=f"第 {sea} 季",
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air_date=mediainfo.release_date,
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overview=mediainfo.overview,
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vote_average=mediainfo.vote_average,
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episode_count=mediainfo.number_of_episodes
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)]
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return []
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@router.get("/{mediaid}", summary="查询媒体详情", response_model=schemas.MediaInfo)
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async def detail(mediaid: str, type_name: str, title: Optional[str] = None, year: str = None,
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_: schemas.TokenPayload = Depends(verify_token)) -> Any:
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"""
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根据媒体ID查询themoviedb或豆瓣媒体信息，type_name: 电影/电视剧
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"""
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mtype = MediaType(type_name)
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mediainfo = None
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mediachain = MediaChain()
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if mediaid.startswith("tmdb:"):
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mediainfo = await mediachain.async_recognize_media(tmdbid=int(mediaid[5:]), mtype=mtype)
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elif mediaid.startswith("douban:"):
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mediainfo = await mediachain.async_recognize_media(doubanid=mediaid[7:], mtype=mtype)
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elif mediaid.startswith("bangumi:"):
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mediainfo = await mediachain.async_recognize_media(bangumiid=int(mediaid[8:]), mtype=mtype)
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else:
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# 广播事件解析媒体信息
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event_data = MediaRecognizeConvertEventData(
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mediaid=mediaid,
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convert_type=settings.RECOGNIZE_SOURCE
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)
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event = await eventmanager.async_send_event(ChainEventType.MediaRecognizeConvert, event_data)
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# 使用事件返回的上下文数据
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if event and event.event_data and event.event_data.media_dict:
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event_data: MediaRecognizeConvertEventData = event.event_data
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new_id = event_data.media_dict.get("id")
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if event_data.convert_type == "themoviedb":
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mediainfo = await mediachain.async_recognize_media(tmdbid=new_id, mtype=mtype)
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elif event_data.convert_type == "douban":
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mediainfo = await mediachain.async_recognize_media(doubanid=new_id, mtype=mtype)
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elif title:
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# 使用名称识别兜底
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meta = MetaInfo(title)
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if year:
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meta.year = year
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if mtype:
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meta.type = mtype
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mediainfo = await mediachain.async_recognize_media(meta=meta)
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# 识别
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if mediainfo:
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await mediachain.async_obtain_images(mediainfo)
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return mediainfo.to_dict()
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return schemas.MediaInfo()
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