- Introduced a new notifications table in the database schema to manage user notifications.
- Implemented Electric SQL replication setup for the notifications table, ensuring real-time synchronization.
- Updated existing database functions to support real-time updates for connectors and documents using Electric SQL.
- Refactored UI components to utilize new hooks for fetching connectors and documents, enhancing performance and user experience.
- Added setup_electric_replication function to handle Electric SQL replication for the notifications table during app startup.
- Updated alembic migration script to remove direct SQL commands for replication, now managed in app/db.py.
- Refactored indexing functions in search_source_connectors_routes to support new start_date and end_date parameters for improved flexibility.
- Enhanced Google Gmail indexing task to utilize new date parameters, ensuring better control over indexing periods.
- Added Electric SQL service to docker-compose for real-time data synchronization.
- Introduced PostgreSQL configuration for logical replication and performance tuning.
- Created scripts for initializing Electric SQL user and electrifying tables.
- Implemented notification model and service in the backend.
- Developed ElectricProvider and useNotifications hook in the frontend for managing notifications.
- Updated environment variables and package dependencies for Electric SQL integration.
- Introduced a new ENUM value 'NOTE' for document types in the database.
- Implemented backend routes for creating, listing, and deleting notes.
- Added a new frontend page for creating notes with a BlockNote editor.
- Updated sidebar to include recent notes and an option to add new notes.
- Enhanced API service for notes with validation and request/response schemas.
- Updated translations to support new note-related terms.
Fixes typo in directory name and updates all import paths:
- Renamed surfsense_backend/app/retriver/ to surfsense_backend/app/retriever/
- Updated imports in db.py
- Updated imports in connector_service.py
- Deleted UserSearchSpacePreference class and its relationships from SearchSpace and User models.
- Cleaned up unused code to streamline database interactions.
-Introduce granular permissions for documents, chats, podcasts, and logs.
- Update routes to enforce permission checks for creating, reading, updating, and deleting resources. - Refactor user and search space interactions to align with RBAC model, removing ownership checks in favor of permission validation.
- Added `citations_enabled` and `qna_custom_instructions` fields to the SearchSpace model for better QnA configuration.
- Updated the creation and update schemas to handle new fields with appropriate defaults.
- Refactored QnA handling in the agent to utilize the new SearchSpace fields for improved response customization.
- Adjusted UI components to include settings for managing QnA configurations.
- Enhanced onboarding process to incorporate prompt setup as an optional step.
- Added new LLM providers including Google, Azure OpenAI, Bedrock, and others to the backend.
- Updated the model selection UI to dynamically display available models based on the selected provider.
- Enhanced the provider change handling to reset the model selection when the provider is changed.
- Improved the overall user experience by providing contextual information for model selection.
- Add BAIDU_SEARCH_API connector type to support Chinese web search
- Implement search_baidu() method in connector_service.py
- Add frontend configuration page for Baidu Search API
- Create Alembic migration for new enum values
- Add validation rules and agent integration
- Support configurable model, search source, and deep search options
- Update .gitignore to exclude .env.local and other env files
Addresses integration with Chinese search ecosystem for better local market support.
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