Release/v0.2.4 (#397)

* Fix/bug en zh (#389)

* [fix]The log retains genuine alerts and errors, while filtering out unnecessary noise.

* [fix]Scenario English and Chinese, emotion specifications

* [fix]Change the "no data" scenario from 0.0 to None

* [fix]The emotional health indicators, emotional advice, and emotional distribution analysis are all linked together.

* [fix]The emotional health indicators, emotional advice, and emotional distribution analysis are all linked together.

* [fix]Separate expected errors from unexpected errors

* [changes]Translation of emotion labels, and the list of hosts arranged in the order of creation

* [changes]Translation of emotion labels, and the list of hosts arranged in the order of creation

* feat(web): improve knowledge base form validation and parser config handling

- Refactor form validation logic to support tab-specific field validation in edit mode
- Add conditional validation for knowledge graph fields when editing existing knowledge base
- Preserve all existing parser_config fields when merging graphrag configuration
- Skip third-party authentication check when editing on knowledge graph tab
- Update form value retrieval to include disabled fields using getFieldsValue(true)
- Improve comments to clarify parser_config field preservation and validation behavior
- This change enables users to edit knowledge graph settings without re-validating all basic configuration fields

* fix(web): improve infinite scroll handling in knowledge base list

- Add auto-load detection when initial data doesn't fill viewport to prevent empty scrollbar
- Implement scroll height check to automatically load more data if content is insufficient
- Fix hasMore condition to prevent premature loader hiding
- Update loader visibility to only show when data exists and is actively loading
- Refine end message display to show only when all data is loaded and no more items available
- Resolves issue where knowledge base list shows no scrollbar on initial load with limited items

* fix(web): FileUpload bugfix

* fix(web): change skill search key

* Fix/bug en zh (#391)

* [fix]The log retains genuine alerts and errors, while filtering out unnecessary noise.

* [fix]Scenario English and Chinese, emotion specifications

* [fix]Change the "no data" scenario from 0.0 to None

* [fix]The emotional health indicators, emotional advice, and emotional distribution analysis are all linked together.

* [fix]The emotional health indicators, emotional advice, and emotional distribution analysis are all linked together.

* [fix]Separate expected errors from unexpected errors

* [changes]Translation of emotion labels, and the list of hosts arranged in the order of creation

* [changes]Translation of emotion labels, and the list of hosts arranged in the order of creation

* [fix]The mainframe engineering supports Chinese verification.

* [fix]The mainframe engineering supports Chinese verification.

* fix(web): update en

* fix(web): file upload bugfix

* fix(web): memory-write node hide message config

---------

Co-authored-by: 乐力齐 <162269739+lanceyq@users.noreply.github.com>
Co-authored-by: yujiangping <yujiangping@taofen8.com>
Co-authored-by: zhaoying <yzhao96@best-inc.com>
Co-authored-by: yingzhao <zhaoyingyz@126.com>

api/app/core/memory/models/ontology_scenario_models.py

@@ -74,7 +74,7 @@ class OntologyClass(BaseModel):
         """Validate that the class name follows PascalCase convention.
 
         PascalCase rules:
-        - Must start with an uppercase letter
+        - Must start with an uppercase letter (for English) or any character (for Chinese/Unicode)
         - Cannot contain spaces
         - Should not contain special characters except underscores
 
@@ -90,7 +90,10 @@ class OntologyClass(BaseModel):
         if not v:
             raise ValueError("Class name cannot be empty")
         
-        if not v[0].isupper():
+        # For Chinese/Unicode characters, skip the uppercase check
+        # Only check uppercase for ASCII letters
+        first_char = v[0]
+        if first_char.isascii() and first_char.isalpha() and not first_char.isupper():
             raise ValueError(
                 f"Class name '{v}' must start with an uppercase letter (PascalCase)"
             )
@@ -100,11 +103,11 @@ class OntologyClass(BaseModel):
                 f"Class name '{v}' cannot contain spaces (PascalCase)"
             )
         
-        # Check for invalid characters (allow alphanumeric and underscore only)
-        if not all(c.isalnum() or c == '_' for c in v):
+        # Check for invalid characters (allow alphanumeric, underscore, and Unicode characters)
+        if not all(c.isalnum() or c == '_' or ord(c) > 127 for c in v):
             raise ValueError(
                 f"Class name '{v}' contains invalid characters. "
-                "Only alphanumeric characters and underscores are allowed"
+                "Only alphanumeric characters, underscores, and Unicode characters are allowed"
             )
         
         return v

api/app/core/memory/utils/validation/ontology_validator.py

@@ -88,8 +88,10 @@ class OntologyValidator:
             logger.warning(f"Validation failed: {error_msg}")
             return False, error_msg
         
-        # Check if starts with uppercase letter
-        if not name[0].isupper():
+        # Check if starts with uppercase letter (only for ASCII letters)
+        # For Chinese/Unicode characters, skip this check
+        first_char = name[0]
+        if first_char.isascii() and first_char.isalpha() and not first_char.isupper():
             error_msg = f"Class name '{name}' must start with an uppercase letter (PascalCase)"
             logger.warning(f"Validation failed: {error_msg}")
             return False, error_msg
@@ -100,9 +102,9 @@ class OntologyValidator:
             logger.warning(f"Validation failed: {error_msg}")
             return False, error_msg
         
-        # Check for invalid characters (only alphanumeric and underscore allowed)
-        if not re.match(r'^[A-Za-z0-9_]+$', name):
-            error_msg = f"Class name '{name}' contains invalid characters. Only alphanumeric characters and underscores are allowed"
+        # Check for invalid characters (allow alphanumeric, underscore, and Unicode characters)
+        if not re.match(r'^[A-Za-z0-9_\u4e00-\u9fff]+$', name):
+            error_msg = f"Class name '{name}' contains invalid characters. Only alphanumeric characters, underscores, and Chinese characters are allowed"
             logger.warning(f"Validation failed: {error_msg}")
             return False, error_msg
         

api/app/services/emotion_analytics_service.py

@@ -124,17 +124,17 @@ class EmotionAnalyticsService:
             # 将查询结果转换为字典，方便查找
             tags_dict = {tag["emotion_type"]: tag for tag in tags}
 
-            # 补全缺失的情绪维度，并翻译 emotion_type
+            # 补全缺失的情绪维度，直接使用英文枚举key（前端自行翻译）
             complete_tags = []
             for emotion in all_emotion_types:
                 if emotion in tags_dict:
                     tag = tags_dict[emotion].copy()
-                    tag["emotion_type"] = self._translate_emotion_type(emotion, language)
+                    tag["emotion_type"] = emotion
                     complete_tags.append(tag)
                 else:
                     # 如果该情绪类型不存在，添加默认值
                     complete_tags.append({
-                        "emotion_type": self._translate_emotion_type(emotion, language),
+                        "emotion_type": emotion,
                         "count": 0,
                         "percentage": 0.0,
                         "avg_intensity": 0.0

api/app/services/memory_dashboard_service.py

@@ -55,7 +55,7 @@ def get_workspace_end_users(
 ) -> List[EndUser]:
     """获取工作空间的所有宿主（优化版本：减少数据库查询次数）
     
-    返回结果按 updated_at 从新到旧排序（NULL 值排在最后）
+    返回结果按 created_at 从新到旧排序（NULL 值排在最后）
     """
     business_logger.info(f"获取工作空间宿主列表: workspace_id={workspace_id}, 操作者: {current_user.username}")
     
@@ -71,13 +71,13 @@ def get_workspace_end_users(
         app_ids = [app.id for app in apps_orm]
         
         # 批量查询所有 end_users（一次查询而非循环查询）
-        # 按 updated_at 降序排序，NULL 值排在最后；id 作为次级排序键保证确定性
+        # 按 created_at 降序排序，NULL 值排在最后；id 作为次级排序键保证确定性
         from app.models.end_user_model import EndUser as EndUserModel
         from sqlalchemy import desc, nullslast
         end_users_orm = db.query(EndUserModel).filter(
             EndUserModel.app_id.in_(app_ids)
         ).order_by(
-            nullslast(desc(EndUserModel.updated_at)),
+            nullslast(desc(EndUserModel.created_at)),
             desc(EndUserModel.id)
         ).all()