* 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
- Correct loop variable type detection to handle actual Python types
- Update StreamOutput control_nodes to support list of branches and fix upstream control node analysis
- Fix full_content aggregation in WorkflowExecutor for streaming outputs
- Initialize VariablePool with default "sys" and "conv" scopes
* [fix]Fix ID: 1004684 - Bug fixed. New "end_user_id" field added to the implicit memory interface.
* [fix]Fix bug ID1004858 and standardize Neo4j log output
* [changes]The main warehouse is associated with the sub-warehouse.
* [fix]Fix ID: 1004684 - Bug fixed. New "end_user_id" field added to the implicit memory interface.
* [fix]Fix bug ID1004858 and standardize Neo4j log output
* [changes]The main warehouse is associated with the sub-warehouse.
* [changes]Based on the AI review, the code has been corrected.
* [changes]Recovery of Implicit Memory Interface
* [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
1. Three party web website data access - Web site synchronization
Building a knowledge base by crawling web page data in batches through web crawlers
Web site synchronization utilizes crawler technology, which can automatically capture all websites under the same domain name through a single entry website. Currently, it supports up to 200 subpages. For compliance and security reasons, only static site crawling is supported, mainly used for quickly building knowledge bases on various document sites.
2. Feishu Knowledge Base
By configuring Feishu document permissions, a knowledge base can be built using Feishu documents, and the documents will not undergo secondary storage
3. Language Bird Knowledge Base
You can configure the permissions of the language bird document to build a knowledge base using the language bird document, and the document will not undergo secondary storage
