适配: Edge 全局参数解析 + AlgorithmManager 三级参数合并

main.py

@@ -132,6 +132,15 @@ class EdgeInferenceService:
                         daemon=True
                     ).start()
                 self._config_manager.register_callback("config_update", _on_config_update)
+
+                def _on_global_params_update(topic, data):
+                    if self._algorithm_manager:
+                        global_params = data.get("global_params", {})
+                        self._algorithm_manager.update_global_params(global_params)
+                        # 全局参数变更后需要清除注册缓存，使下一帧重新注册算法以应用新参数
+                        self._algorithm_manager._registered_keys.clear()
+                        self._logger.info(f"全局参数回调已触发，已清除算法注册缓存")
+                self._config_manager.register_callback("global_params_update", _on_global_params_update)
             self._logger.info("配置管理器初始化成功")
         except Exception as e:
             self._logger.error(f"配置管理器初始化失败: {e}")
@@ -198,6 +207,18 @@ class EdgeInferenceService:
         try:
             self._algorithm_manager = AlgorithmManager()
             self._algorithm_manager.start_config_subscription()
+
+            # 启动时从 SQLite 加载已有全局参数
+            try:
+                from config.database import get_sqlite_manager
+                db = get_sqlite_manager()
+                saved_global_params = db.get_all_global_params()
+                if saved_global_params:
+                    self._algorithm_manager.update_global_params(saved_global_params)
+                    self._logger.info(f"从 SQLite 加载全局参数: {list(saved_global_params.keys())}")
+            except Exception as e:
+                self._logger.warning(f"从 SQLite 加载全局参数失败: {e}")
+
             self._logger.info("算法管理器初始化成功")
         except Exception as e:
             self._logger.error(f"算法管理器初始化失败: {e}")