优化内存管理，增加最大内存配置项，改进内存使用检查逻辑。

app/chain/torrents.py

@@ -41,12 +41,11 @@ class TorrentsChain(ChainBase, metaclass=Singleton):
         self.torrenthelper = TorrentHelper()
         # 初始化内存管理器
         self.memory_manager = MemoryManager()
-        # 启动内存监控（如果需要）
-        if settings.BIG_MEMORY_MODE:
-            self.memory_manager.set_threshold(85)  # 大内存模式下提高阈值
-        else:
-            self.memory_manager.set_threshold(75)  # 普通模式下较低阈值
+        # 设置内存阈值和启动监控
+        max_memory = settings.CACHE_CONF['memory']
+        self.memory_manager.set_threshold(max_memory)
         self.memory_manager.start_monitoring()
+        logger.info(f"内存监控已启用 - 阈值: {max_memory}MB")
 
     def __del__(self):
         """

app/core/config.py

@@ -546,7 +546,8 @@ class Settings(BaseSettings, ConfigModel, LogConfigModel):
             "tmdb": "TMDB请求缓存数量",
             "douban": "豆瓣请求缓存数量",
             "fanart": "Fanart请求缓存数量",
-            "meta": "元数据缓存过期时间（秒）"
+            "meta": "元数据缓存过期时间（秒）",
+            "memory": "最大占用内存（MB）"
         }
         """
         if self.BIG_MEMORY_MODE:
@@ -557,7 +558,8 @@ class Settings(BaseSettings, ConfigModel, LogConfigModel):
                 "douban": 512,
                 "bangumi": 512,
                 "fanart": 512,
-                "meta": (self.META_CACHE_EXPIRE or 24) * 3600
+                "meta": (self.META_CACHE_EXPIRE or 24) * 3600,
+                "memory": 2 * 1024
             }
         return {
             "torrents": 100,
@@ -566,7 +568,8 @@ class Settings(BaseSettings, ConfigModel, LogConfigModel):
             "douban": 256,
             "bangumi": 256,
             "fanart": 128,
-            "meta": (self.META_CACHE_EXPIRE or 2) * 3600
+            "meta": (self.META_CACHE_EXPIRE or 2) * 3600,
+            "memory": 1024
         }
 
     @property

app/helper/memory.py

@@ -14,13 +14,12 @@ class MemoryManager(metaclass=Singleton):
     """
     
     def __init__(self):
-        self._memory_threshold = 80  # 内存使用率阈值(%)
+        self._memory_threshold = 512  # 内存使用阈值(MB)
         self._check_interval = 300   # 检查间隔(秒)
         self._monitoring = False
         self._monitor_thread: Optional[threading.Thread] = None
         
-    @staticmethod
-    def get_memory_usage() -> dict:
+    def get_memory_usage(self) -> dict:
         """
         获取当前内存使用情况
         """
@@ -59,14 +58,19 @@ class MemoryManager(metaclass=Singleton):
     
     def check_memory_and_cleanup(self) -> bool:
         """
-        检查内存使用率，如果过高则执行清理
+        检查内存使用量，如果超过阈值则执行清理
         :return: 是否执行了清理
         """
         memory_info = self.get_memory_usage()
+        current_memory_mb = memory_info['rss']
         
-        if memory_info['percent'] > self._memory_threshold:
-            logger.warning(f"内存使用率过高: {memory_info['percent']:.1f}%, 开始清理...")
+        if current_memory_mb > self._memory_threshold:
+            logger.warning(f"内存使用超过阈值: {current_memory_mb:.1f}MB > {self._memory_threshold}MB, 开始清理...")
             self.force_gc()
+            
+            # 再次检查清理效果
+            after_memory = self.get_memory_usage()
+            logger.info(f"清理后内存: {after_memory['rss']:.1f}MB")
             return True
         return False
     
@@ -80,7 +84,7 @@ class MemoryManager(metaclass=Singleton):
         self._monitoring = True
         self._monitor_thread = threading.Thread(target=self._monitor_loop, daemon=True)
         self._monitor_thread.start()
-        logger.info("内存监控已启动")
+        logger.info(f"内存监控已启动 - 阈值: {self._memory_threshold}MB, 检查间隔: {self._check_interval}秒")
     
     def stop_monitoring(self):
         """
@@ -103,17 +107,28 @@ class MemoryManager(metaclass=Singleton):
                 logger.error(f"内存监控出错: {e}")
                 time.sleep(60)  # 出错后等待1分钟再继续
     
-    def set_threshold(self, threshold: int):
+    def set_threshold(self, threshold_mb: int):
         """
-        设置内存使用率阈值
+        设置内存使用阈值
+        :param threshold_mb: 内存阈值，单位MB（50-4096之间）
         """
-        self._memory_threshold = max(50, min(95, threshold))
+        self._memory_threshold = max(50, min(4096, threshold_mb))
+        logger.info(f"内存阈值已设置为: {self._memory_threshold}MB")
     
     def set_check_interval(self, interval: int):
         """
         设置检查间隔
+        :param interval: 检查间隔，单位秒（最少60秒）
         """
         self._check_interval = max(60, interval)
+        logger.info(f"内存检查间隔已设置为: {self._check_interval}秒")
+    
+    def get_threshold(self) -> int:
+        """
+        获取当前内存阈值
+        :return: 当前阈值(MB)
+        """
+        return self._memory_threshold
 
 
 def memory_optimized(force_gc_after: bool = False, log_memory: bool = False):