AnQiCMS (AnQiCMS) version 3.2.0

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Version: AnQiCMS v3.2.0
Release Date: 2023-09-16
Architecture: AnQiCMS Feature Expansion and Multilingual Support Edition

Update Overview

  • Multilingual Support: Added multilingual translation feature to adapt the website content to global users' needs.
  • Template and tag extension: Enable the new template as the default template, optimize the model tag and document call function, support custom sorting and multi-class settings.

Major Update

  • New default template: Enable the new design template as the default template to enhance the interface aesthetics and user experience.
  • Model label:Add model tag function, more flexibly display different content models, convenient for users to customize the display of different types of content.
  • Multilingual translation support:New multilingual support, allowing users to easily add multilingual content through the backend, expanding the international applicability.
  • Document sorting and multi-classificationSupports custom document sorting and allows documents to set multiple categories, enhancing the flexibility of document management and the diversification of category display.
  • URL Token callOptimize the function of calling documents and category details through URL Tokens, improving the accuracy and efficiency of page access.

Optimize content

  • AI writing functionOptimize the AI writing experience, improve the quality of generated content.
  • sensitive word filteringImprove the sensitive word filtering system, replace sensitive words on the front-end page with asterisks (*), ensuring the compliance of page content.

Content fixed

  • Category list thumbnail issue: Fixed the issue where the thumbnail (Thumb) call in the category list was not working, ensuring that the image is displayed normally.
  • Breadcrumb tag error: Fixed the issue of the breadcrumb tag display error in the detail interface, ensuring accurate page path navigation.
  • Data collection filtering problem: Fix the issue of filter not working during data collection, improve the accuracy of collected data.
  • Some tags are incorrect.: Fixed some display or call errors of labels, making the label function more reliable.

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