* 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
* [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 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 macOS fork() safety configuration in celery_app.py to prevent initialization issues
- Add null/False checks for Redis session queries in term_memory_save to handle missing sessions gracefully
- Add null/False checks in memory_long_term_storage to prevent processing empty Redis results
- Add null/False checks in aggregate_judgment before format_parsing to avoid errors on missing data
- Initialize redis_messages variable in window_dialogue for consistency
- Add debug logging when no existing session found in Redis for better troubleshooting
- Add TODO comments for magic numbers (scope=6, time=5) to be extracted as constants
- Improve error handling when Redis returns False or empty results instead of crashing
* [changes]add user_summary language unification
* [add]Entity extraction, user memory, emotion suggestions, unified language type for writing
* [add]Complete the switch between Chinese and English for the emotion labels and emotion suggestions fields.
* [changes]add user_summary language unification
* [add]Entity extraction, user memory, emotion suggestions, unified language type for writing
* [add]Complete the switch between Chinese and English for the emotion labels and emotion suggestions fields.
* [changes]Modify the code based on the AI review
* [fix]Fix the issue of inconsistent language in explicit and episodic memory.
* [fix]Fix the issue of inconsistent language in explicit and episodic memory.
* [add]Add scene_id
* [fix]Based on the AI review to fix the code
- Add force parameter to delete_config endpoint for controlled deletion of in-use configs
- Implement MemoryConfigService.delete_config with protection against deleting default configs
- Add validation to prevent deletion of configs with connected end-users unless force=True
- Reorganize controller imports to remove duplicates and improve maintainability
- Clean up unused database connection management code from memory_storage_controller
- Add detailed docstring to delete_config endpoint explaining protection mechanisms
- Update error handling with specific BizCode.RESOURCE_IN_USE for configs in active use
- Add comprehensive logging for deletion attempts, warnings, and affected users
- Refactor ConfigParamsDelete schema usage to use MemoryConfigService directly
- Improve API response structure with affected_users count and force_required flag
* [changes]refactor locomo_test
* [fix]Fix the circular import of ModelParameters
* [changes]The benchmark test can run stably.
* [fix]Complete end-to-end LoCoMo repair
* [fix]Complete the end-to-end longmemeval and memsciqa fixes
* [changes]Complete the benchmark test description document to ensure that the configuration parameters take effect.
* [changes]refactor locomo_test
* [fix]Fix the circular import of ModelParameters
* [changes]The benchmark test can run stably.
* [fix]Complete end-to-end LoCoMo repair
* [fix]Complete the end-to-end longmemeval and memsciqa fixes
* [changes]Complete the benchmark test description document to ensure that the configuration parameters take effect.
* [changes]Benchmark test adaptation for end_user_id
* [changes]refactor locomo_test
* [fix]Fix the circular import of ModelParameters
* [changes]The benchmark test can run stably.
* [fix]Complete end-to-end LoCoMo repair
* [fix]Complete the end-to-end longmemeval and memsciqa fixes
* [changes]Complete the benchmark test description document to ensure that the configuration parameters take effect.
* [fix]Complete the end-to-end longmemeval and memsciqa fixes
* [changes]Complete the benchmark test description document to ensure that the configuration parameters take effect.
* [changes]Benchmark test adaptation for end_user_id
