Skip to main content

Web HTML maker in Python - a light web application framework

Project description

-----------------------------------------------------------------------------                                                           

 ██╗    ██╗ ██╗  ██╗  █████╗  ██╗  ██╗ ███████╗ ██████╗  ██████╗ ██╗   ██╗
 ██║    ██║ ██║  ██║ ██╔══██╗ ██║ ██╔╝ ██╔════╝ ██╔══██╗ ██╔══██╗╚██╗ ██╔╝
 ██║ █╗ ██║ ███████║ ███████║ █████╔╝  █████╗   ██████╔╝ ██████╔╝ ╚████╔╝ 
 ██║███╗██║ ██╔══██║ ██╔══██║ ██╔═██╗  ██╔══╝   ██╔══██╗ ██╔═══╝   ╚██╔╝  
 ╚███╔███╔╝ ██║  ██║ ██║  ██║ ██║  ██╗ ███████╗ ██║  ██║ ██║        ██║   
  ╚══╝╚══╝  ╚═╝  ╚═╝ ╚═╝  ╚═╝ ╚═╝  ╚═╝ ╚══════╝ ╚═╝  ╚═╝ ╚═╝        ╚═╝   
       
   a Python library to create dynamic HTML content and web applications

               Copyright (C) 2023-2024 Brigitte Bigi, 
         Laboratoire Parole et Langage, Aix-en-Provence, France
         
-----------------------------------------------------------------------------                                                              

WhakerPy

Overview

WhakerPy - a Web HTML maker in Python

Use case

You want all users to get access to dynamic web pages via web browser. You then need to create a web application allowing creating HTML pages and communicating via HTTPD. WhakerPy is a Python library of such a tool.

In fact, you may have already heard of Django — high-level, full-stack framework, anf Flash — a micro-framework. Both of them generate output in the form of content from the model presented and formatted based on a template file. The "WhakerPy" library does not offer views, templates or models! On the contrary, it offers a 100% pure-Python solution by creating HTML pages entirely dynamically, or with a static content.

WhakerPy is your solution if:

  • you're looking to design a relatively simple web app with a few static pages;
  • and/or you want a full control on dynamic HTML creation content;
  • you want to build a web app with nothing but Python.

Features

WhakerPy is a Python, free, open source, self-hosted library to create dynamic HTML content and web applications. It offers more flexibility than a framework: it's a library! WhakerPy is then a collection of packages and modules that help developers to create static or dynamic web content without having to worry about the details involved.

  • Build powerful web apps with all the flexibility of Python: building a web app with WhakerPy is as simple as coding with Python
  • Create HTML pages dynamically: create a tree with nodes and serialize the tree into a string
  • Can save as static HTML files
  • Create a web-frontend with its HTTPD response "bakery" system
  • Run locally with its HTTPD server
  • Run locally or remotely with its WSGI application

Main advantages

Creating and manipulating HTML from the power of Python!

  • Easy to learn, consistent, simple syntax
  • Flexible and easy usage
  • open-source: easily add new features and functionalities
  • easily customizable: it's a pure python library in Object-Oriented Programming
  • portable: can be hosted on any web server - as soon as python is available, or used locally
  • it is distributed as a single folder module and has no dependencies other than the Python Standard Library.

Get and install WhakerPy

Get it from it's repository https://sourceforge.net/projects/whakerpy/ or from Pypi https://pypi.org/project/whakerpy/, and get documentation https://whakerpy.sourceforge.io.

Install from pypi.org:

> python -m pip install WhakerPy

Install from its wheel package:

Download the wheel file (WhakerPy-xxx.whl) from it's web page and install it in your python environment with:

> python -m pip install dist/<WhakerPy-xxx.whl>

From its repo:

Download the latest ".zip" from it's web page and unpack it, or clone the repository with git. WhakerPy package includes the following folders and files:

  1. "whakerpy": the source code package
  2. "docs": the documentation of whakerpy library in HTML and Markdown
  3. "tests": the tests of the source code
  4. "sample": a web application sample
> unzip WhakerPy-0.6.zip 
> git clone https://git.code.sf.net/p/whakerpy/code whakerpy-code
> python -m pip install .

Quick Start

Create a dynamic HTML tree

Open a Python interpreter and type or paste the following:

>>> from whakerpy.htmlmaker import HTMLTree
>>> from whakerpy.htmlmaker import HTMLNode
>>> htree = HTMLTree("index")
>>> node = HTMLNode(htree.body_main.identifier, None, "h1", value="this is a title")
>>> htree.body_main.append_child(node)

Render and print the HTML:

>>> print(htree.serialize())

and the result is:

<!DOCTYPE html>

<html>
   <head>    </head>
<body>
 <main>
     <h1>
         this is a title
     </h1>
 </main>

</body>
</html>

Add some styling and others:

>>> htree.head.title("WhakerPy")
>>> htree.head.meta({"charset": "utf-8"})
>>> htree.head.link(rel="icon", href="/static/favicon.ico")
>>> htree.head.link(rel="stylesheet", href="nice.css", link_type="text/css")

Add page copyright in the footer:

>>> copyreg = HTMLNode(htree.body_footer.identifier, "copyright", "p",
>>>                    attributes={"class": "copyright", "role": "none"},
>>>                    value="Copyright &copy; 2023 My Self")
>>> htree.body_footer.append_child(copyreg)

Let's view the result in your favorite web browser:

>>> import webbrowser
>>> file_whakerpy = htree.serialize_to_file('file.html')
>>> webbrowser.open_new_tab(file_whakerpy)

Create a web application frontend with dynamic HTML content

For a quick start, see the file sample.py in the repo. It shows a very simple solution to create a server that can handle dynamic content. This content is created from a custom BaseResponseRecipe() object, available in the file samples/response.py. The response is the interface between a local back-end python application and the web front-end.

For a more complex example of an already in-used application web frontend, see: https://sourceforge.net/p/sppas/code/ci/master/tree/sppas/ui/swapp/app_setup/setupmaker.py.

Projects using WhakerPy

WhakerPy was initially developed within SPPAS https://sppas.org. It was extracted from its original software by the author to lead its own life as standalone package. The "setup" of SPPAS is entirely based on whakerpy API.

Other projects:

The developer's corner

Create a wheel

WhakerPy is no system dependent. Information to build its wheel are stored into the file pyproject.toml. The universal wheel is created with: python -m build

Make the documentation

The API documentation is available in the docs folder. Click the file index.html to browse throw the documented classes. The documentation requires Whakerexa https://whakerexa.sf.net, which is already available into the "docs" folder of the distributed ".zip" archive of WhakerPy. If not, download and unzip it into the "docs" folder.

To re-generate the documentation, install the required external program, then launch the doc generator:

>python -m pip install ".[docs]"
>python makedoc.py

Test/Analyze source code

Install the optional dependencies with:

> python -m pip install ".[tests]"

Code coverage can be analyzed with unittest and coverage. Install them with the command: python -m pip install ".[tests]". Then, perform the following steps:

  1. coverage run -m unittest
  2. coverage report to see a summary report into the terminal, or use this command to get the result in XML format: coverage xml

The whakerpy package can be analyzed with SonarQube by following these steps:

  1. Download and install Docker
  2. Download and install SonarQube: docker pull sonarqube:latest
  3. Start the SonarQube server: docker run --stop-timeout 3600 -d --name sonarqube -p 9000:9000 sonarqube:latest Log in to http://localhost:9000. Both login and password are "admin".
    Add the python plugin and restart server.
  4. Click "Add project" with name "WhakerPy", and provide it a token
  5. Download sonar-scanner client. On macOS its: brew install sonar-scanner.
  6. Launch: sonar-scanner -Dsonar.token="paste the token here"
  7. See results in the opened URL. You may not forget that it's an automatic code analyzer, not an intelligent one.

Help / How to contribute

If you plan to contribute to the code or to report a bug, please send an e-mail to the author. Any and all constructive comments are welcome.

License/Copyright

See the accompanying LICENSE and AUTHORS.md files for the full list of contributors.

Copyright (C) 2023-2024 Brigitte Bigi - contact@sppas.org Laboratoire Parole et Langage, Aix-en-Provence, France

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

WhakerPy-0.7-py3-none-any.whl (83.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page