* 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>
* [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
* [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
1. when adding a model API key to the model list, a tenant_id uniqueness check needs to be added;
2.the Model Square has cancelled custom models;
3. optimization of the interface logic for customizing model configurations in the model list
* [add]Integration of the core engineering and memory extraction
* [add]The import and export function of the main body engineering files
* [add]Improve the import interface
* [add]Introducing generic types helps with entity extraction
* [add]Modify the references of the main repository to the sub-repositories
* [add]The extraction trial run introduces the ontology type.
* [add]Integration of the core engineering and memory extraction
* [add]The import and export function of the main body engineering files
* [add]Improve the import interface
* [add]Introducing generic types helps with entity extraction
* [add]Modify the references of the main repository to the sub-repositories
* [add]The extraction trial run introduces the ontology type.
* [add]Complete the second phase of the main project content
* [add]The dependencies and configurations of the main body project
* [add]Modify the code based on the AI review
- Add support for both memory_config_id (new) and memory_content (legacy) field names
- Implement detection and handling of legacy int format memory configurations
- Add validation for numeric string formats with appropriate warning logs
- Support case-insensitive memory node type matching (MemoryRead/MemoryWrite and memory-read/memory-write)
- Improve error handling with more descriptive logging for invalid UUID strings
- Fix config_id field reference in memory config resolution
- Ensure backward compatibility with existing agent configurations while supporting new format
- Add workspace_id fallback parameter to memory config loading across all services
- Update hot_memory_tags.py to pass workspace_id when resolving memory configuration
- Enhance emotion_analytics_service.py to support workspace_id as fallback for config resolution
- Improve implicit_memory_service.py with workspace_id fallback in config loading
- Update memory_agent_service.py to handle workspace_id resolution and add refactoring TODO
- Enhance preference_analysis.jinja2 prompt with critical guidance on supporting_evidence extraction
- Add validation to check both config_id and workspace_id before raising configuration errors
- Improve error handling and logging for memory configuration resolution across services
- This enables more flexible memory configuration resolution when config_id is unavailable
- Add null check for actual_config_id before calling term_memory_save in langchain_agent.py to prevent errors when memory config is unavailable
- Add warning log when skipping term_memory_save due to missing memory config
- Fix incorrect attribute reference from memory_config.id to memory_config.config_id in memory_agent_service.py
- Fix method call from private _get_workspace_default_config to public get_workspace_default_config in memory_config_service.py
- Ensures graceful handling of missing memory configurations and prevents runtime errors
