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 configurationapiKEY, 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.