> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getlecker.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Detail_Load_Frontend

> A trait for handling article details and view loading in a frontend application

This trait provides functionality for loading and displaying article details, as well as handling view loading with additional data preparation.

## Methods

### detail

Loads and displays the details of an article.

<ParamField query="pretty_url" type="string">
  The pretty URL of the article to display
</ParamField>

<ParamField query="print" type="boolean" default={false}>
  Whether to render the page for printing
</ParamField>

<ParamField query="return" type="boolean" default={false}>
  If true, returns the rendered view as a string instead of outputting it
</ParamField>

This method performs the following tasks:

1. Retrieves general data such as language and login status
2. Fetches the article by its pretty URL
3. Checks language compatibility and redirects if necessary
4. Retrieves related articles
5. Prepares SEO data
6. Loads module data
7. Renders the detail view or returns it as a string

### load\_view

Loads and renders a view with additional data preparation.

<ParamField query="view" type="string">
  The name of the view to load
</ParamField>

<ParamField query="viewdata" type="array">
  An array of data to pass to the view
</ParamField>

This method:

1. Prepares OpenAI-related data
2. Sets up SEO and Open Graph data
3. Handles cookie warnings
4. Prepares menu items and translations
5. Loads and renders the specified view along with header and footer

### getOpenaiData

Prepares OpenAI-related data for use in views.

<ParamField query="data" type="array">
  The existing data array to augment with OpenAI data
</ParamField>

<ResponseField name="return" type="array">
  The augmented data array containing OpenAI-related information
</ResponseField>

This method:

1. Retrieves page settings for conditional OpenAI display
2. Fetches available languages and language lines
3. Retrieves and processes OpenAI prompts
4. Determines the preselected language
5. Gets the last chat ID