- Add SettingsAnnouncements component with full CRUD operations for system announcements
* Support multiple announcement types (default, ongoing, success, warning, error)
* Include publish date, content, type classification and additional notes
* Implement batch operations and pagination for better data management
* Add real-time preview with relative time display and date formatting
- Add SettingsFAQ component for comprehensive FAQ management
* Support question-answer pairs with rich text content
* Include full editing, deletion and creation capabilities
* Implement batch delete operations and paginated display
* Add validation for complete Q&A information
- Integrate announcement and FAQ modules into DashboardSetting
* Add unified configuration interface in admin console
* Implement auto-refresh functionality for real-time updates
* Add loading states and error handling for better UX
- Enhance backend API support in controller and setting modules
* Add validation functions for console settings
* Include time and sorting utilities for announcement management
* Extend API endpoints for announcement and FAQ data persistence
- Improve frontend infrastructure
* Add new translation keys for internationalization support
* Update utility functions for date/time formatting
* Enhance CSS styles for better component presentation
* Add icons and visual improvements for announcements and FAQ sections
This implementation provides administrators with comprehensive tools to manage
system-wide announcements and user FAQ content through an intuitive console interface.
- Added input validation to ensure that the `num` parameter in `renderQuotaNumberWithDigit` is a valid number, returning 0 for invalid inputs.
- Updated the `Detail` component to use `datum['rawQuota']` instead of `datum['Usage']` for rendering quota values, ensuring more accurate data representation.
- Enhanced data aggregation logic to handle cases where quota values may be missing or invalid, improving overall data integrity in charts and tables.
- Removed unnecessary time granularity calculations and streamlined the data processing for better performance.
