[changes] AI review and correction of code

api/app/core/memory/storage_services/extraction_engine/data_preprocessing/data_pruning.py

@@ -96,7 +96,7 @@ class SemanticPruner:
         self._is_builtin_scene = SceneConfigRegistry.is_scene_supported(self.config.pruning_scene)
         
         # 自定义场景的本体类型列表（用于注入提示词）
-        self._ontology_classes = config.ontology_classes or []
+        self._ontology_classes = getattr(self.config, "ontology_classes", None) or []
         
         if self._is_builtin_scene:
             self._log(f"[剪枝-初始化] 场景={self.config.pruning_scene} 使用内置专门配置")

api/app/core/memory/utils/prompt/prompts/extracat_Pruning.jinja2

@@ -43,11 +43,12 @@
   {# 自定义场景：使用场景名称 + 本体类型列表构建说明 #}
   {% if ontology_classes and ontology_classes | length > 0 %}
     {% if language == 'en' %}
-      {% set instruction = 'Custom scene "' ~ pruning_scene ~ '": The dialogue is related to this scene if it involves any of the following entity types: ' ~ ontology_classes | join(', ') ~ '.' %}
+      {% set custom_types_str = ontology_classes | join(', ') %}
+      {% set instruction = 'Custom scene "' ~ pruning_scene ~ '": The dialogue is related to this scene if it involves any of the following entity types: ' ~ custom_types_str ~ '.' %}
     {% else %}
-      {% set instruction = '自定义场景「' ~ pruning_scene ~ '」：对话涉及以下任意实体类型时视为相关：' ~ ontology_classes | join('、') ~ '。' %}
+      {% set custom_types_str = ontology_classes | join('、') %}
+      {% set instruction = '自定义场景「' ~ pruning_scene ~ '」：对话涉及以下任意实体类型时视为相关：' ~ custom_types_str ~ '。' %}
     {% endif %}
-    {% set custom_types_str = ontology_classes | join('、') %}
   {% else %}
     {# 无本体类型时退化为通用说明 #}
     {% if language == 'en' %}

api/app/services/memory_config_service.py

@@ -107,8 +107,11 @@ def _validate_config_id(config_id, db: Session = None):
     )
 
 
-# 专门场景的内置 key 列表（与 SceneConfigRegistry 保持一致）
-_BUILTIN_PRUNING_SCENES = {"education", "online_service", "outbound"}
+# 专门场景的内置 key 集合，直接从 SceneConfigRegistry 派生，避免重复维护
+# 使用懒加载函数避免模块级循环导入
+def _get_builtin_pruning_scenes() -> set:
+    from app.core.memory.storage_services.extraction_engine.data_preprocessing.scene_config import SceneConfigRegistry
+    return set(SceneConfigRegistry.get_all_scenes())
 
 
 def _load_ontology_classes(db: Session, scene_id, pruning_scene: Optional[str]) -> Optional[list]:
@@ -125,7 +128,7 @@ def _load_ontology_classes(db: Session, scene_id, pruning_scene: Optional[str])
     if not scene_id:
         return None
     # 内置场景走 SceneConfigRegistry，不需要注入类型列表
-    if pruning_scene in _BUILTIN_PRUNING_SCENES:
+    if pruning_scene in _get_builtin_pruning_scenes():
         return None
     try:
         from app.repositories.ontology_class_repository import OntologyClassRepository

api/app/services/memory_storage_service.py

@@ -178,7 +178,8 @@ class DataConfigService: # 数据配置服务类（PostgreSQL）
             from app.models.ontology_scene import OntologyScene
             scene = self.db.query(OntologyScene).filter_by(scene_id=scene_id).first()
             return scene.scene_name if scene else None
-        except Exception:
+        except Exception as e:
+            logger.warning(f"_resolve_pruning_scene_from_scene_id failed for scene_id={scene_id}: {e}", exc_info=True)
             return None
 
     # --- Delete ---