[add] Semantic pruning is unified with the ontology engineering scenario.

api/app/services/workspace_service.py

@@ -152,6 +152,7 @@ def create_workspace(
 
         # Initialize default ontology scenes for the workspace (先创建本体场景)
         default_scene_id = None
+        default_scene_name = None
         try:
             initializer = DefaultOntologyInitializer(db)
             success, error_msg = initializer.initialize_default_scenes(
@@ -163,7 +164,7 @@ def create_workspace(
                     f"为工作空间 {db_workspace.id} 创建默认本体场景成功 (language={language})"
                 )
                 
-                # 获取默认场景ID，优先使用"在线教育"场景，如果不存在则使用"情感陪伴"场景
+        # 获取默认场景ID，优先使用"在线教育"场景，如果不存在则使用"情感陪伴"场景
                 from app.repositories.ontology_scene_repository import OntologySceneRepository
                 from app.config.default_ontology_config import (
                     ONLINE_EDUCATION_SCENE, 
@@ -179,6 +180,7 @@ def create_workspace(
                 
                 if education_scene:
                     default_scene_id = education_scene.scene_id
+                    default_scene_name = education_scene.scene_name
                     business_logger.info(
                         f"获取到教育场景ID用于默认记忆配置: {default_scene_id} (scene_name={education_scene_name})"
                     )
@@ -189,6 +191,7 @@ def create_workspace(
                     
                     if companion_scene:
                         default_scene_id = companion_scene.scene_id
+                        default_scene_name = companion_scene.scene_name
                         business_logger.info(
                             f"教育场景不存在，使用情感陪伴场景ID用于默认记忆配置: {default_scene_id} (scene_name={companion_scene_name})"
                         )
@@ -219,6 +222,7 @@ def create_workspace(
                     embedding_id=embedding,
                     rerank_id=rerank,
                     scene_id=default_scene_id,  # 传入默认场景ID（优先教育场景，其次情感陪伴场景）
+                    pruning_scene_name=default_scene_name,  # 传入场景名称作为语义剪枝场景值
                 )
                 business_logger.info(
                     f"为工作空间 {db_workspace.id} 创建默认记忆配置成功 (scene_id={default_scene_id})"
@@ -1159,6 +1163,7 @@ def _create_default_memory_config(
     embedding_id: Optional[uuid.UUID] = None,
     rerank_id: Optional[uuid.UUID] = None,
     scene_id: Optional[uuid.UUID] = None,
+    pruning_scene_name: Optional[str] = None,
 ) -> None:
     """Create a default memory config for a newly created workspace.
     
@@ -1170,6 +1175,7 @@ def _create_default_memory_config(
         embedding_id: Optional embedding model ID
         rerank_id: Optional rerank model ID
         scene_id: Optional ontology scene ID (默认关联教育场景)
+        pruning_scene_name: Optional pruning scene name，取自 ontology_scene.scene_name
     """
     from app.models.memory_config_model import MemoryConfig
     
@@ -1183,7 +1189,8 @@ def _create_default_memory_config(
         llm_id=str(llm_id) if llm_id else None,
         embedding_id=str(embedding_id) if embedding_id else None,
         rerank_id=str(rerank_id) if rerank_id else None,
-        scene_id=scene_id,  # 关联本体场景ID
+        scene_id=scene_id,  # 关联本体场景ID（默认为"在线教育"场景）
+        pruning_scene=pruning_scene_name,  # 语义剪枝场景直接使用 scene_name
         state=True,  # Active by default
         is_default=True,  # Mark as workspace default
     )