API:Article ideas generator/es

Visión general
En este tutorial, encontrarás una demo de una aplicación generadora de ideas para artículos que sugiere artículos de varias categorías que todavía no existan en la Wikipedia en inglés.

Descargar el código desde GitHub Explorar la aplicación en Toolforge

Este tutorial te enseñará cómo realizar esto por medio de:


 * Entorno de trabajo de Python y Flask
 * MediaWiki Action API's Parse and Links module

Proceso paso a paso para construir esta aplicación:

Paso 1: Configurar el entorno de desarrollo de Python y Flask
Para configurar el entorno de desarrollo de Python para una aplicación de Flask, necesitarás instalar Python, crear un entorno virtual e instalar Flask.

Aprende más sobre las diferencias entre Python2 y Python3 aquí. Para instalar Python3 en tu máquina local, sigue las instrucciones paso a paso en estas guías de instalación.

Aquí se muestra cómo configurar el entorno de desarrollo para construir la aplicación:

Mostrar una página estática simple
Coloca el siguiente código en

Drop this one line of code Article ideas generator in a HTML file inside the  folder:

Next run your Flask app with the command  and open   to view your app in the browser. You should be able to see "Article ideas generator" in your browser window.

Style your app
Let's do some app styling. To do so, add link tags to load an external and internal stylesheet. External stylesheet, in this case, is the URL of a CSS file for the font.

Replace the existing code in  with the following:

Place the following code in

Application layout
$HOME/article-ideas-generator ├── templates/ │  └── articles.html ├── static/ │  └── style.css ├── articles.py └── venv/

Step 3: Fetch page sections from Wikipedia:Requested articles
Let's write some code in a  function in   to fetch page sections from Wikipedia:Requested articles. This function takes page name as an argument and makes a  request to the Action API to parse sections of the page. API call consists of an endpoint  and query string parameters. Some of the key parameters are:


 * - module to parse content on a page
 * - page title to parse
 * - tells which piece of information to retrieve, in this example it is sections

Next, extend the Python Flask route  in   to call the function defined above and also pass the results returned by the function to.

Place the following Jinja template code in. It dynamically renders an array of buttons with help from page sections data as categories obtained via the API above.

Place the following code in  for button styling.

Step 4: Get more sections based on user selection
Based on a category or section user chooses in the previous step, fetch subsections from Wikipedia:Requested articles. Extend the Python Flask route  in   to handle POST requests. You can do so by adding both  and   in the   argument list in the route decorator. You can then obtain category selection available in a  format from the   object, which is passed to   function for further processing.

Step 5: Collect and display articles with missing links
Let's write some code in a  function in   to fetch around 20 articles with missing links on a page. This function takes page name as an argument and makes a  request to the Action API and return all links embedded on the provided page. From further extraction, you can obtain those links that are missing and don't yet exist on English Wikipedia. API call consists of an endpoint  and query string parameters. Some of the key parameters are:


 * - module to query information
 * - page title to collect links
 * - query module's submodule  used as a generator module to get a set of links embedded on a page
 * - number of links to fetch

Next, extend the  block concerning the   method in   route in   to call the   function if the page from which the request is obtained is of type.

Place the following Jinja template code in. It dynamically renders a list of links with help from the data obtained via the API above.

View complete Python, CSS and HTML code.

Next steps

 * Contribute a demo app that you have developed using the MediaWiki API to this code samples repository.