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/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