Version: AnQiCMS v3.1.5
Release date: 2023-07-06
Architecture: AnqiCMS Functional Extension and User Experience Optimization Edition
Update Overview
- Multi-platform support: This update adds status bar support for Windows and MacOS platforms, making it more convenient for users to operate in a desktop environment.
- Optimize search engine visibility and content management: Improved the visibility settings of content in search engines, and optimized document time factor and message spam detection functions.
Main updates
- Status bar icon support: Added a status bar icon in Windows and MacOS versions, providing one-click operation to facilitate users to quickly manage system functions.
- Search engine visibility settings: New search engine visibility control has been added, allowing users to configure whether to open content to search engines to crawl.
- OpenAI local configuration: Added the local configuration function of OpenAI API, so users can customize the configuration
apiKEY
, convenient for integration and management. - Leave a message automatically reply to emails: Added a preset email function for automatic reply to message forms, which can send preset automatic reply emails to customers, enhancing customer interaction experience.
Optimization and repair
- Document time factor optimization: Optimized document time factor function, and added the option to automatically update time as planned to help keep content active.
- Message spam detection enhancement: Further optimize the spam detection mechanism for website message leaving a message, set up stricter spam filtering, and improve the quality of message content.
- Title image drawing fix: Fixed the problem of text drawing that goes beyond the boundaries and lacks default English fonts in the title picture function to ensure that the image display effect is normal.
- Tag distinction fix: Fixed the case-sensitive problem of document tag tags, making tag management more unified.
- Related document call optimization: Fixed the problem of insufficient number of related document tag calls and duplication of documents to ensure the accuracy of related content calls.
- Multi-level classification association repair: Fixed the problem of classification association errors when more than 2 levels of classification batch creation to ensure the correctness of classification relationships.
- Image compression adaptation repair: Fixed the problem that the image compression function could not be adapted on the ARM architecture system to ensure compatibility of cross-platform image processing.