import pickle import traceback from math import ceil from threading import RLock from time import time from typing import Any from app.core.cache import FileCache, TTLCache from app.core.config import settings from app.core.meta import MetaBase from app.log import logger from app.schemas.types import MediaSource, MediaType from app.utils.singleton import WeakSingleton lock = RLock() PERSISTENCE_VERSION = 1 PERSISTENCE_REGION = "recognize" PERSISTENCE_KEY = "tmdb" class TmdbCache(metaclass=WeakSingleton): """ TMDB缓存数据 { "id": '', "title": '', "year": '', "type": MediaType } """ def __init__(self): """初始化 TMDB 识别缓存并恢复未过期的持久化数据。""" self.maxsize = settings.CONF.tmdb self.ttl = settings.CONF.meta self.region = "__tmdb_cache__" self._cache = TTLCache(region=self.region, maxsize=self.maxsize, ttl=self.ttl) self._expires_at: dict[str, float] = {} self._dirty = False self._file_cache = None self._legacy_file_cache = None self._legacy_cache_found = False if not self._cache.is_redis(): self._file_cache = FileCache(base=settings.CACHE_PATH, ttl=self.ttl) self._legacy_file_cache = FileCache(base=settings.TEMP_PATH.parent, ttl=self.ttl) self._restore() def _restore(self) -> None: """从统一文件缓存恢复仍在有效期内的 TMDB 识别数据。""" try: content = self._file_cache.get(PERSISTENCE_KEY, region=PERSISTENCE_REGION) if not content: content = self._legacy_file_cache.get( self.region, region=settings.TEMP_PATH.name, ) if content: self._legacy_cache_found = True self._dirty = True if not content: return payload = pickle.loads(content) now = time() if ( isinstance(payload, dict) and payload.get("version") == PERSISTENCE_VERSION and isinstance(payload.get("items"), dict) ): items = payload["items"] elif isinstance(payload, dict): # 旧版缓存没有保存过期时间，迁移时从当前时刻重新计算一次有效期。 items = { key: {"value": value, "expires_at": now + self.ttl} for key, value in payload.items() } self._dirty = True else: return for key, item in items.items(): if not isinstance(item, dict): self._dirty = True continue value = item.get("value") expires_at = item.get("expires_at") if not isinstance(value, dict) or not isinstance(expires_at, (int, float)): self._dirty = True continue remaining_ttl = expires_at - now if remaining_ttl <= 0: self._dirty = True continue self._cache.set(key, value, ttl=ceil(remaining_ttl)) self._expires_at[key] = expires_at except Exception as err: logger.error(f"加载TMDB识别缓存失败：{str(err)} - {traceback.format_exc()}") def _set(self, key: str, value: dict) -> None: """写入单条 TMDB 识别缓存并记录其独立过期时间。""" self._cache.set(key, value) if not self._cache.is_redis(): self._expires_at[key] = time() + self.ttl self._dirty = True def clear(self): """ 清空所有TMDB缓存 """ with lock: self._cache.clear() self._expires_at.clear() self._dirty = True self.save(force=True) def list_items(self) -> list[dict]: """ 返回可供管理界面展示的 TMDB 识别缓存列表。 """ with lock: cache_items = [] for key, value in self._cache.items(): if not isinstance(value, dict): continue media_type = value.get("type") if not isinstance(media_type, MediaType): try: media_type = MediaType(media_type) except (TypeError, ValueError): media_type = None cache_items.append({ "key": key, "tmdb_id": value.get("id") or 0, "title": value.get("title") or "", "year": value.get("year") or "", "media_type": media_type.to_agent() if media_type else "unknown", "poster_path": value.get("poster_path") or "", "backdrop_path": value.get("backdrop_path") or "", }) return sorted(cache_items, key=lambda item: item["key"]) @staticmethod def __get_key(meta: MetaBase) -> str: """ 获取缓存KEY """ media_id = meta.media_id if meta.media_source == MediaSource.TMDB else None return f"[{meta.type.value if meta.type else '未知'}][{settings.TMDB_LOCALE}]{media_id or meta.name}-{meta.year}-{meta.begin_season}" @staticmethod def __is_type_conflicted(meta: MetaBase, media_type: Any, tmdb_id: Any) -> bool: """ 判断媒体类型是否与元数据声明的类型冲突。 只有「元数据判定为电视剧、结果却是电影」才算冲突。反向不算：名称识别在 电影分支查不到时会回退到电视剧查询，识别缓存正是用来记住这个纠正结果， 一律要求 key 与 value 类型一致会让这类条目每次都被丢弃、反复回源。而电视 剧分支恒定写入电视剧类型，`[电视剧]` 键下出现电影只可能来自 tmdbid 消歧 或共享识别回填的脏写，会让整季剧集被当成电影反复整理失败。 :param meta: 元数据 :param media_type: 待校验的媒体类型 :param tmdb_id: 对应的 TMDB ID，为空表示负缓存，不带类型信息 :return: 是否冲突 """ if meta.type != MediaType.TV or not tmdb_id: return False if not isinstance(media_type, MediaType): try: media_type = MediaType(media_type) except (TypeError, ValueError): return False return media_type == MediaType.MOVIE def get(self, meta: MetaBase): """ 根据KEY值获取缓存值 """ key = self.__get_key(meta) with lock: cache_data = self._cache.get(key) if not cache_data and self._expires_at.pop(key, None) is not None: self._dirty = True if not cache_data or not isinstance(cache_data, dict): return {} if self.__is_type_conflicted(meta, cache_data.get("type"), cache_data.get("id")): # 脏条目不丢弃就会被无限期沿用，正确的识别逻辑永远没有执行机会 logger.warn(f"识别缓存类型与元数据冲突，已丢弃并重新识别：{key} -> " f"{cache_data.get('title')}({cache_data.get('type')})") self._cache.delete(key) self._expires_at.pop(key, None) self._dirty = True return {} return cache_data def delete(self, key: str) -> dict: """ 删除缓存信息 @param key: 缓存key @return: 被删除的缓存内容 """ with lock: redis_data = self._cache.get(key) if redis_data: self._cache.delete(key) self._expires_at.pop(key, None) self._dirty = True self.save(force=True) return redis_data return {} def modify(self, key: str, title: str) -> dict: """ 修改缓存信息 @param key: 缓存key @param title: 标题 @return: 被修改后缓存内容 """ with lock: redis_data = self._cache.get(key) if redis_data: redis_data['title'] = title self._set(key, redis_data) return redis_data return {} def update(self, meta: MetaBase, info: dict) -> None: """ 新增或更新缓存条目 """ key = self.__get_key(meta) if info: if self.__is_type_conflicted(meta, info.get("media_type"), info.get("id")): # 拒绝写入而不是改写键：识别结果照常返回，只是不把矛盾条目留给下一次 logger.warn(f"识别结果类型与元数据冲突，不写入识别缓存：{key} -> " f"{info.get('title')}({info.get('media_type')})") return # 缓存标题 cache_title = info.get("title") \ if info.get("media_type") == MediaType.MOVIE else info.get("name") # 缓存年份 cache_year = info.get('release_date') \ if info.get("media_type") == MediaType.MOVIE else info.get('first_air_date') if cache_year: cache_year = cache_year[:4] with lock: # 缓存数据 cache_data = { "id": info.get("id"), "type": info.get("media_type"), "year": cache_year, "title": cache_title, "poster_path": info.get("poster_path"), "backdrop_path": info.get("backdrop_path") } self._set(key, cache_data) elif info is not None: # None时不缓存，此时代表网络错误，允许重复请求 with lock: self._set(key, {"id": 0}) def save(self, force: bool = False) -> None: """ 使用统一文件缓存保存未过期的 TMDB 识别数据。 """ if self._cache.is_redis(): return with lock: now = time() cache_items = dict(self._cache.items()) active_keys = set(cache_items) stale_keys = set(self._expires_at) - active_keys if stale_keys: for key in stale_keys: self._expires_at.pop(key, None) self._dirty = True persisted_items = {} for key, value in cache_items.items(): expires_at = self._expires_at.get(key) if expires_at is None: expires_at = now + self.ttl self._expires_at[key] = expires_at self._dirty = True if expires_at <= now or not value.get("id"): continue persisted_items[key] = { "value": value, "expires_at": expires_at, } if not force and not self._dirty: return try: if persisted_items: payload = { "version": PERSISTENCE_VERSION, "items": persisted_items, } self._file_cache.set( PERSISTENCE_KEY, pickle.dumps(payload, pickle.HIGHEST_PROTOCOL), region=PERSISTENCE_REGION, ) else: self._file_cache.delete(PERSISTENCE_KEY, region=PERSISTENCE_REGION) if self._legacy_cache_found: self._legacy_file_cache.delete( self.region, region=settings.TEMP_PATH.name, ) self._legacy_cache_found = False self._dirty = False except Exception as err: logger.error(f"保存TMDB识别缓存失败：{str(err)} - {traceback.format_exc()}") def __del__(self): """实例释放前保存非 Redis 缓存。""" self.save()