As an experienced website operation expert, and with a deep understanding of the various functions and content operation strategies of AnQiCMS, I am very willing to analyze it for youcategoryListThe important issue of whether the label supports fuzzy search or filtering by category name in the AnQi CMS.

In the template system of Anqi CMS,categoryListTags are the core tools for developers and content operators to obtain and display the website category list.It helps us build clear website navigation and content structure with its concise and efficient features.However, when we delve into the functional details, we find that its design philosophy and specific parameters determine some characteristics and limitations it has in handling fuzzy search or filtering of classification names.

We can clearly see from the documents you provided.categoryListThe definition and usage of the label. Its core purpose isGet the list of articles and product categories, and it mainly controls the range and hierarchy of the categories obtained through the following parameters:

  • moduleId: 指定内容模型的ID，例如获取文章模型的分类列表。
  • parentId: 用于获取指定上级分类下的子分类，或者通过parentId="0"获取顶级分类。
  • all: When set totrue, get all categories. If specified at the same timemoduleIdget all categories under the model.
  • limit: Controls the number of displayed items, supports pagination mode.
  • siteId: Used to specify which site's data to retrieve in a multi-site environment.

Upon careful examination of these parameters, we will find a key piece of information:categoryListthe tag itselfNo direct parameters are provided,q(Query keyword) orname(Fuzzy match of category name)，used to directly perform a fuzzy search or filter based on the category name when the label is called.Its design focus is on building a hierarchical classification structure through model ID and parent relationships, rather than performing dynamic searches based on text content.

This contrasts with some other tag functions in AnQiCMS. For example,archiveList(Document list tag) explicitly supportsq="搜索关键词"This parameter allows users to search and filter document titles based on keywords. This difference indicates,categoryListThe main responsibility of the label at design time is the organization and hierarchy display of the data structure, rather than immediate, text-oriented search matching.

Then, why?categoryListDoes the label not support fuzzy search of category names directly?

This is usually due to several considerations:

  1. Separation of duties:Template tags are typically designed to perform specific and efficient data retrieval tasks.categoryListFocusing on hierarchical traversal of structured data, while text search may be considered a more complex query that requires additional indexing and matching logic.
  2. Performance optimization:If you want to perform fuzzy matching on a large number of category names directly at the template level, especially when the number of categories is large, it may impose additional burden on the database and increase the page rendering time.Place this complex logic in a backend API or a more specialized service, usually resulting in better performance.
  3. Flexible backend support:AnQiCMS as a system that 'dedicates to providing an efficient, customizable, and easy-to-expand content management solution', tends to implement complex and highly customized search requirements through backend APIs or custom modules, thus providing greater flexibility.

If it is necessary to perform a fuzzy search or filter based on category names without going through URL parameters, what alternative strategies are available at the current template level?

Due tocategoryListThe label itself does not directly support it, you may need to consider the following alternative methods, but they all have their own limitations:

  1. Front-end JavaScript auxiliary filtering:
    • Thinking:UsecategoryListTag retrieves all (or most related) category data, and then reads these data through JavaScript on the front-end.You can write JS code to perform fuzzy matching based on user input within these loaded categories, and dynamically hide or show the matching categories.
    • Advantages:No backend code modification required, implementation is relatively simple.
    • Limitations: This method requires loading all potential classification data at once. If the number of classifications is very large, it may cause slow page loading and poor user experience.Filter logic is completely executed on the client side, which is not friendly to SEO (search engines cannot see the filtered content).
  2. Limited built-in template logic (not recommended for large-scale use):
    • Thinking:If the number of categories you want to filter is very small,categoryListofforLoop internally, using AnQiCMS templates supportedifLogical judgment and string filter (such asfilter-contain.mdmentionedcontainFilter) to judgeitem.TitleWhether it contains specific keywords.
    • Advantages:Pure template implementation, no JS required.
    • Limitations: containFilters are typically used to determine whether one value contains another value. Implementing complex "fuzzy search" logic in a template would be cumbersome and inefficient.For a large amount of classification data, this will bring significant performance issues because the template engine must traverse all classifications and perform string comparison one by one.This is not the practice of **vague search**.

Conclusion

In summary, the value of AnQiCMS'scategoryListTag, under its current design,Does not directly support fuzzy search or filtering by category name (not through URL parameters)'} ]Its core function is to accurately obtain the category set based on structured attributes (such as model ID, parent ID).

If you have strong business requirements and need to implement dynamic fuzzy search or filtering for category names, and do not want to rely on URL parameters for front-end interaction (or have higher requirements for performance, SEO), a more robust solution may require stepping out of the scope of pure template tags and considering the following advanced customization:

  1. Developing custom API interfaces:Create a backend interface that is responsible for performing a fuzzy search based on the category name and returning the filtered category data. The frontend calls this interface via AJAX to retrieve and render the data.
  2. Custom label or plugin:If AnQiCMS provides a mechanism for extending tags or plugins, you can develop a custom tag with internal implementation that includes a fuzzy matching logic for category names.

AlthoughcategoryListLabel has some limitations in this aspect, but it does not affect the powerful capabilities of AnQiCMS in content management and structured data display.Understanding its design principles can help us better utilize existing tools and, when necessary, adopt more suitable expansion plans.

Common Questions (FAQ)

  1. Q:categoryListCan the tags be filtered by category names?Exact matchFor example, do I want to get the category named "Company News"?A:categoryListThe label does not directly support filtering by exact name, its function is to obtain a categoryList. If you want to get aSpecificcategory detail by name, you can try usingcategoryDetailLabel, this label supports getting throughidortoken(Category URL alias) to get the category details. If the name is used as an alias in the URL (token),categoryDetailLabels can be obtained. However, if only the Chinese name is available, it needs to be implemented on the backend or through front-end logic in cooperation with other data acquisition methods.

  2. Q: If my website has tens of thousands of categories, is it feasible to use JavaScript for front-end fuzzy search?A: For a small number of classifications (for example, dozens), front-end JavaScript filtering is feasible because it can respond quickly to user operations.If the number of categories reaches hundreds or even thousands, loading all category data at once will significantly increase the page loading time, consume user bandwidth, and may lead to a decrease in browser performance, seriously affecting user experience.In this case, we strongly recommend using the backend API query method to load only the category data related to the user's search keywords.

  3. Q: Besides the tags mentioned in the document, does AnQiCMS provide other built-in features (such as custom plugins or modules) to extendcategoryListto support fuzzy search?A: According to the provided document, AnQiCMS has advantages such as 'modular design' and 'flexible content model', indicating that it has certain scalability. Although the document does not directly mention anything about categoryListThe specific fuzzy search extension point of the label, but if the core requirement indeed exists, it is usually considered the following ways: the first is to check the AnQiCMS developer manual or community to see if there are hooks (Hook) for template tags.