Merge branch 'release/v0.2.4' into develop

# Conflicts:
#	web/src/views/Workflow/constant.ts
#	web/src/views/Workflow/hooks/useWorkflowGraph.ts

api/app/controllers/emotion_controller.py

@@ -186,7 +186,7 @@ async def get_emotion_health(
             "情绪健康指数获取成功",
             extra={
                 "end_user_id": request.end_user_id,
-                "health_score": data.get("health_score", 0),
+                "health_score": data.get("health_score") or 0,
                 "level": data.get("level", "未知")
             }
         )
@@ -244,16 +244,46 @@ async def get_emotion_suggestions(
         )
 
         if data is None:
-            # 缓存不存在或已过期
+            # 缓存不存在或已过期，自动触发生成
             api_logger.info(
-                f"用户 {request.end_user_id} 的建议缓存不存在或已过期",
+                f"用户 {request.end_user_id} 的建议缓存不存在或已过期，自动生成新建议",
                 extra={"end_user_id": request.end_user_id}
             )
-            return fail(
-                BizCode.NOT_FOUND,
-                "建议缓存不存在或已过期，请右上角刷新生成新建议",
-                ""
-            )
+            try:
+                data = await emotion_service.generate_emotion_suggestions(
+                    end_user_id=request.end_user_id,
+                    db=db,
+                    language=language
+                )
+                # 保存到缓存
+                await emotion_service.save_suggestions_cache(
+                    end_user_id=request.end_user_id,
+                    suggestions_data=data,
+                    db=db,
+                    expires_hours=24
+                )
+            except (ValueError, KeyError) as gen_e:
+                # 预期内的业务异常：配置缺失、数据格式问题等
+                api_logger.warning(
+                    f"自动生成建议失败（业务异常）: {str(gen_e)}",
+                    extra={"end_user_id": request.end_user_id}
+                )
+                return fail(
+                    BizCode.NOT_FOUND,
+                    f"自动生成建议失败: {str(gen_e)}",
+                    ""
+                )
+            except Exception as gen_e:
+                # 非预期异常：记录完整 traceback 便于排查
+                api_logger.error(
+                    f"自动生成建议时发生未预期异常: {str(gen_e)}",
+                    extra={"end_user_id": request.end_user_id},
+                    exc_info=True
+                )
+                raise HTTPException(
+                    status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                    detail=f"生成建议时发生内部错误: {str(gen_e)}"
+                )
 
         api_logger.info(
             "个性化建议获取成功（缓存）",

api/app/controllers/memory_episodic_controller.py

@@ -3,9 +3,10 @@
 包含情景记忆总览和详情查询接口
 """
 
-from fastapi import APIRouter, Depends
+from fastapi import APIRouter, Depends, Header
 
 from app.core.error_codes import BizCode
+from app.core.language_utils import get_language_from_header
 from app.core.logging_config import get_api_logger
 from app.core.response_utils import fail, success
 from app.dependencies import get_current_user
@@ -14,6 +15,7 @@ from app.schemas.response_schema import ApiResponse
 from app.schemas.memory_episodic_schema import (
     EpisodicMemoryOverviewRequest,
     EpisodicMemoryDetailsRequest,
+    translate_episodic_type,
 )
 from app.services.memory_episodic_service import memory_episodic_service
 
@@ -84,6 +86,7 @@ async def get_episodic_memory_overview_api(
 @router.post("/details", response_model=ApiResponse)
 async def get_episodic_memory_details_api(
     request: EpisodicMemoryDetailsRequest,
+    language_type: str = Header(default=None, alias="X-Language-Type"),
     current_user: User = Depends(get_current_user),
 ) -> dict:
     """
@@ -111,6 +114,11 @@ async def get_episodic_memory_details_api(
             summary_id=request.summary_id
         )
         
+        # 根据语言参数翻译 episodic_type
+        language = get_language_from_header(language_type)
+        if "episodic_type" in result:
+            result["episodic_type"] = translate_episodic_type(result["episodic_type"], language)
+        
         api_logger.info(
             f"成功获取情景记忆详情: end_user_id={request.end_user_id}, summary_id={request.summary_id}"
         )

api/app/controllers/ontology_controller.py

@@ -233,6 +233,14 @@ async def extract_ontology(
             language=language
         )
         
+        # 根据语言类型统一 name 字段
+        # zh: name 使用 name_chinese（中文名）
+        # en: name 保持原值（英文 PascalCase）
+        if language == "zh":
+            for cls in result.classes:
+                if cls.name_chinese:
+                    cls.name = cls.name_chinese
+        
         # 构建响应
         response = ExtractionResponse(
             classes=result.classes,
@@ -1007,7 +1015,7 @@ async def export_owl_by_scene(
         
         # 2. 查询场景下的所有本体类型
         class_repo = OntologyClassRepository(db)
-        ontology_classes_db = class_repo.get_by_scene(request.scene_id)
+        ontology_classes_db = class_repo.get_classes_by_scene(request.scene_id)
         
         if not ontology_classes_db:
             api_logger.warning(f"No classes found in scene: {request.scene_id}")