import copy import time from pathlib import Path from threading import Lock from typing import Optional, List, Tuple from app.chain import ChainBase from app.core.context import Context, MediaInfo from app.core.event import eventmanager, Event from app.core.meta import MetaBase from app.core.metainfo import MetaInfo, MetaInfoPath from app.log import logger from app.schemas.types import EventType, MediaType from app.utils.singleton import Singleton from app.utils.string import StringUtils recognize_lock = Lock() class MediaChain(ChainBase, metaclass=Singleton): """ 媒体信息处理链，单例运行 """ # 临时识别标题 recognize_title: Optional[str] = None # 临时识别结果 {title, name, year, season, episode} recognize_temp: Optional[dict] = None def recognize_by_title(self, title: str, subtitle: str = None) -> Optional[MediaInfo]: """ 根据主副标题识别媒体信息 """ logger.info(f'开始识别媒体信息，标题：{title}，副标题：{subtitle} ...') # 识别元数据 metainfo = MetaInfo(title, subtitle) # 识别媒体信息 mediainfo: MediaInfo = self.recognize_media(meta=metainfo) if not mediainfo: # 偿试使用辅助识别，如果有注册响应事件的话 if eventmanager.check(EventType.NameRecognize): logger.info(f'请求辅助识别，标题：{title} ...') mediainfo = self.recognize_help(title=title, org_meta=metainfo) if not mediainfo: logger.warn(f'{title} 未识别到媒体信息') return None # 识别成功 logger.info(f'{title} 识别到媒体信息：{mediainfo.type.value} {mediainfo.title_year}') # 更新媒体图片 self.obtain_images(mediainfo=mediainfo) # 返回上下文 return mediainfo def recognize_help(self, title: str, org_meta: MetaBase) -> Optional[MediaInfo]: """ 请求辅助识别，返回媒体信息 :param title: 标题 :param org_meta: 原始元数据 """ with recognize_lock: self.recognize_temp = None self.recognize_title = title # 发送请求事件 eventmanager.send_event( EventType.NameRecognize, { 'title': title, } ) # 每0.5秒循环一次，等待结果，直到10秒后超时 for i in range(20): if self.recognize_temp is not None: break time.sleep(0.5) # 加锁 with recognize_lock: mediainfo = None if not self.recognize_temp or self.recognize_title != title: # 没有识别结果或者识别标题已改变 return None # 有识别结果 meta_dict = copy.deepcopy(self.recognize_temp) logger.info(f'获取到辅助识别结果：{meta_dict}') if meta_dict.get("name") == org_meta.name and meta_dict.get("year") == org_meta.year: logger.info(f'辅助识别结果与原始识别结果一致') else: logger.info(f'辅助识别结果与原始识别结果不一致，重新匹配媒体信息 ...') org_meta.name = meta_dict.get("name") org_meta.year = meta_dict.get("year") org_meta.begin_season = meta_dict.get("season") org_meta.begin_episode = meta_dict.get("episode") if org_meta.begin_season or org_meta.begin_episode: org_meta.type = MediaType.TV # 重新识别 mediainfo = self.recognize_media(meta=org_meta) return mediainfo @eventmanager.register(EventType.NameRecognizeResult) def recognize_result(self, event: Event): """ 监控识别结果事件，获取辅助识别结果，结果格式：{title, name, year, season, episode} """ if not event: return event_data = event.event_data or {} # 加锁 with recognize_lock: # 不是原标题的结果不要 if event_data.get("title") != self.recognize_title: return # 标志收到返回 self.recognize_temp = {} # 处理数据格式 file_title, file_year, season_number, episode_number = None, None, None, None if event_data.get("name"): file_title = str(event_data["name"]).split("/")[0].strip().replace(".", " ") if event_data.get("year"): file_year = str(event_data["year"]).split("/")[0].strip() if event_data.get("season") and str(event_data["season"]).isdigit(): season_number = int(event_data["season"]) if event_data.get("episode") and str(event_data["episode"]).isdigit(): episode_number = int(event_data["episode"]) if not file_title: return if file_title == 'Unknown': return if not str(file_year).isdigit(): file_year = None # 结果赋值 self.recognize_temp = { "name": file_title, "year": file_year, "season": season_number, "episode": episode_number } def recognize_by_path(self, path: str) -> Optional[Context]: """ 根据文件路径识别媒体信息 """ logger.info(f'开始识别媒体信息，文件：{path} ...') file_path = Path(path) # 元数据 file_meta = MetaInfoPath(file_path) # 识别媒体信息 mediainfo = self.recognize_media(meta=file_meta) if not mediainfo: # 偿试使用辅助识别，如果有注册响应事件的话 if eventmanager.check(EventType.NameRecognize): logger.info(f'请求辅助识别，标题：{file_path.name} ...') mediainfo = self.recognize_help(title=path, org_meta=file_meta) if not mediainfo: logger.warn(f'{path} 未识别到媒体信息') return Context(meta_info=file_meta) logger.info(f'{path} 识别到媒体信息：{mediainfo.type.value} {mediainfo.title_year}') # 更新媒体图片 self.obtain_images(mediainfo=mediainfo) # 返回上下文 return Context(meta_info=file_meta, media_info=mediainfo) def search(self, title: str) -> Tuple[MetaBase, List[MediaInfo]]: """ 搜索媒体信息 :param title: 搜索内容 :return: 识别元数据，媒体信息列表 """ # 提取要素 mtype, key_word, season_num, episode_num, year, content = StringUtils.get_keyword(title) # 识别 meta = MetaInfo(content) if not meta.name: meta.cn_name = content # 合并信息 if mtype: meta.type = mtype if season_num: meta.begin_season = season_num if episode_num: meta.begin_episode = episode_num if year: meta.year = year # 开始搜索 logger.info(f"开始搜索媒体信息：{meta.name}") medias: Optional[List[MediaInfo]] = self.search_medias(meta=meta) if not medias: logger.warn(f"{meta.name} 没有找到对应的媒体信息！") return meta, [] logger.info(f"{content} 搜索到 {len(medias)} 条相关媒体信息") # 识别的元数据，媒体信息列表 return meta, medias def get_tmdbinfo_by_doubanid(self, doubanid: str, mtype: MediaType = None) -> Optional[dict]: """ 根据豆瓣ID获取TMDB信息 """ tmdbinfo = None doubaninfo = self.douban_info(doubanid=doubanid, mtype=mtype) if doubaninfo: # 优先使用原标题匹配 season_meta = None if doubaninfo.get("original_title"): meta = MetaInfo(title=doubaninfo.get("original_title")) season_meta = MetaInfo(title=doubaninfo.get("title")) # 合并季 meta.begin_season = season_meta.begin_season else: meta = MetaInfo(title=doubaninfo.get("title")) # 年份 if doubaninfo.get("year"): meta.year = doubaninfo.get("year") # 处理类型 if isinstance(doubaninfo.get('media_type'), MediaType): meta.type = doubaninfo.get('media_type') else: meta.type = MediaType.MOVIE if doubaninfo.get("type") == "movie" else MediaType.TV # 使用原标题识别TMDB媒体信息 tmdbinfo = self.match_tmdbinfo( name=meta.name, year=meta.year, mtype=mtype or meta.type, season=meta.begin_season ) if not tmdbinfo: if season_meta and season_meta.name != meta.name: # 使用主标题识别媒体信息 tmdbinfo = self.match_tmdbinfo( name=season_meta.name, year=meta.year, mtype=mtype or meta.type, season=meta.begin_season ) return tmdbinfo def get_doubaninfo_by_tmdbid(self, tmdbid: int, mtype: MediaType = None, season: int = None) -> Optional[dict]: """ 根据TMDBID获取豆瓣信息 """ tmdbinfo = self.tmdb_info(tmdbid=tmdbid, mtype=mtype) if tmdbinfo: # 名称 name = tmdbinfo.get("title") or tmdbinfo.get("name") # 年份 year = None if tmdbinfo.get('release_date'): year = tmdbinfo['release_date'][:4] elif tmdbinfo.get('seasons') and season: for seainfo in tmdbinfo['seasons']: # 季 season_number = seainfo.get("season_number") if not season_number: continue air_date = seainfo.get("air_date") if air_date and season_number == season: year = air_date[:4] break # IMDBID imdbid = tmdbinfo.get("external_ids", {}).get("imdb_id") return self.match_doubaninfo( name=name, year=year, mtype=mtype, imdbid=imdbid ) return None