As an experienced website operations expert, I am well aware of the importance of the content management system in daily operations, especially in content creation and management.When discussing whether AnQiCMS supports custom random text vocabulary or generation rules, this indeed touches on the core of content operation efficiency and personalized needs.

AnQiCMS, as an enterprise-level content management system developed based on the Go language, provides many highlights in content management and SEO optimization.To answer this question, we need to untangle its core functions, template tags, and some advanced content processing mechanisms.

Native support of AnQiCMS:loremTags and placeholder text

Firstly, AnQiCMS has built-in a very practical auxiliary tag in its template system.lorem.This label is mainly used to generate random placeholder text in the style of 'lorem ipsum'.loremTags are undoubtedly an efficient tool.

Its usage is very flexible, you can specify the number of generated texts, such as by word (w), paragraphs (p) to calculate, even adding torandomThe parameter makes the generated text content more random. For example,{% lorem 10 w random %}Can generate 10 random words. This is particularly convenient in scenarios such as template testing and layout demonstration, as it can avoid the繁琐 of manually copying and pasting a large amount of meaningless text.

However, it should be made clear that,loremThe text generated by the label is based on a set of fixed "lorem ipsum" classic Latin library. This means that although it can generate random content, but itsThe dictionary itself does not support user-defined content.You cannot replace or extend this "lorem ipsum" vocabulary by configuring or modifying the background or files.Its positioning is general placeholder, rather than a random generator of specific thematic or industry content.

In-depth discussion: Content Generation and Parody Mechanism

The strength of AnQiCMS is not just this.When reviewing its functional advantages and update logs, we can discover some deeper content processing capabilities, which bring a broader interpretive space to the concept of 'random text generation'.

For example, AnQiCMS added in version 2.0.1“Article content automatic pseudo-creation function”and“Keyword automatic expansion function”. These functions seem to be related to custom random text vocabulary or generation rules.

The term 'auto' usually refers to the system generating a 'new' article by performing operations such as word replacement and sentence restructuring through internal algorithms on existing articles.This process will inevitably depend on a set of built-in vocabulary or synonym rules, as well as a set of text processing logic.From this perspective, it indeed is a 'text generation' driven by 'generation rules'.

The "Keyword Auto-Expansion Function" also means that the system has certain language understanding and vocabulary expansion capabilities.It can automatically generate or recommend related long-tail keywords or phrases based on core keywords, and this also requires the support of a vocabulary and matching rules.Additionally, the system supports 'Keyword Library Management' and 'Content Material Management', which are 'Content Reserve Libraries' that users can customize and maintain.

But, the key is whether the vocabulary and rules that these functions depend on are open to customization by end-users?According to the description of the existing document, AnQiCMS's 'auto spinning' feature is more of a black box capability that comes out of the box. It may have an internal thesaurus and spinning algorithm, but the document does not explicitly state that users can customize likeloremThe word library used for the pseudo-originality rules, upload or edit these rules using the underlying word library.Users can manage "keyword library" and "content material", but this is mainly used for SEO optimization and article content insertion, not as a direct word library source for the pseudo-original engine.That is to say, while the pseudo original function has the ability to generate text, its core "generation rules" and "vocabulary" are not directly customized to the user.

Custom word library and implementation path of generation rules

What should an AnQiCMS user do if he really wants to implement random text generation based on his own specific word library?

  1. Using existing template tags and filters:AnQiCMS's template engine supports syntax similar to Django and provides a rich set of filters. Among them,randomfilters andsplitThe filter can be cleverly combined.

    • You can usesetA string defining a label in the template, containing your custom vocabulary, is then used.splitThe filter converts it into an array.
    • Then, you can userandomThe filter randomly selects a word from this array.
    • By using loops and concatenation, you can build random text based on your own vocabulary library at the template level. For example:
    {% set my_custom_words = "安企CMS,内容管理,Go语言,高效,灵活,安全"|split:"," %}
    {% set random_word = my_custom_words|random %}
    <p>今天我们来聊聊 {{ random_word }} 的优势。</p>
    

    Although this is not a direct 'custom random text generator', it can achieve a considerable degree of custom random text output through this level of template combination, especially suitable for situations where elements need to be randomly selected from specific phrases or sentences.

  2. Through content library implementation:AnQiCMS's “Content Material Management” feature allows users to upload and manage text snippets.Although these materials are mainly used for article insertion, you can preset some phrases, sentences, or paragraphs in the materials, and then call these materials randomly when publishing articles, through the editor's functions or combined with some custom logic (if the secondary development is realized later), to achieve a certain degree of 'custom random text' effect.

  3. Secondary development and the extensibility of Go language:AnQiCMS is developed based on Go language, and emphasizes its 'modular design' and 'easy expandability'.For teams or individuals with development capabilities, it is completely possible to meet more advanced custom random text requirements through secondary development.

    • Can develop new Go language modules, in which to define your own vocabulary (for example, from a database, from a specific file), and implement complex text generation logic.
    • Then, register this new feature as a custom tag or filter of the AnQiCMS template system (similar toloremorrandom),so it can be easily called in the front-end template, achieving truly customized random text generation.This requires a deep understanding of the underlying architecture of Go language and AnQiCMS.

Summary

On the whole, AnQiCMS supports out-of-the-box usage ofloremLabel generation fixed word library random placeholder text.In content generation, its 'auto-paraphrasing' function has text generation capabilities, but users cannot directly customize its internal vocabulary or generation rules.

If you want to implement based onCustom vocabulary random text generation:

  • On the template level, you can combineset/splitandrandomFilters such as this, randomly select content from a predefined list of strings to combine. This is a lightweight implementation that does not require coding.
  • Through the "Content Material Management" feature, preset random content materials, and manually or semi-automatically call them during content editing.
  • More advanced customization, especially when dynamic word library management and complex generation rules are required, consider the secondary development capabilities of AnQiCMS, and write custom plugins or extend template tags in Go language.

The design philosophy of AnQiCMS lies in providing an efficient and customizable enterprise-level content management solution. It offers basic tools for various content operation needs and also leaves sufficient room for expansion, allowing users with special requirements to achieve personalized customization in an appropriate manner.


Common Questions (FAQ)

1. AnQiCMS内置的lorem标签能否使用我自己的词库来生成随机文本? Answer:AnQiCMSloremThe label currently does not support user-defined vocabulary.It uses a standard "lorem ipsum" Latin library, mainly used for template design and content placeholders, not suitable for generating random text with specific themes or languages.

2. AnQiCMS's 'Automatic Content Spin' feature allows me to upload a custom synonym dictionary or modify its generation rules? Answer:According to the existing documentation and function positioning of AnQiCMS, the "Automatically Paraphrase Article Content" feature is more of a built-in advanced content processing capability of the system, and the synonym library and generation rules used at the bottom are typically the system default, and do not directly affect