Web HTML maker in Python - a light web application framework
Project description
WhakerPy - a Web HTML maker in Python
Overview
WhakerPy is an open source library to create dynamic HTML content and web applications. It's a light web application framework.
Create and manipulate HTML from the power of Python:
- Easy to learn, consistent, simple syntax.
- Flexible and easy usage.
- Create HTML pages dynamically.
- Can save as static HTML files.
- Create a web-frontend with its HTTPD response "bakery" system.
- Run locally with its HTTPD server.
Not enough? Install https://whakerexa.sf.net too, an extension for WhakerPy. It includes useful CSS frameworks, and JavaScripts for a stylized static or dynamic content.
License
WhakerPy is under the terms of the GNU General Public License version 3.
Install WhakerPy
From pypi.org:
> python -m pip install WhakerPy
From its wheel package:
Download the wheel file (WhakerPy-xxx.whl) and install it in your python environment with:
> python -m pip install dist/<WhakerPy-xxx.whl>
From its repo:
Download the latest ".zip" and unpack it, or clone the repository with git. WhakerPy package includes the following folders and files:
- "whakerpy": the source code package
- "docs": the documentation of
whakerpylibrary in HTML and Markdown - "sample": a web application sample
- "tests": the tests of the source code
> 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())
<!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 © 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 website https://auto-cuedspeech.org is entirely based on WhakerPy.
- the website https://sppas.org is entirely based on WhakerPy.
- contact the author if your project is using WhakerPy
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:
coverage run -m unittestcoverage reportto 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:
- Download and install Docker
- Download and install SonarQube:
docker pull sonarqube:latest - Start the SonarQube server:
docker run --stop-timeout 3600 -d --name sonarqube -p 9000:9000 sonarqube:latestLog in to http://localhost:9000. Both login and password are "admin".
Add the python plugin and restart server. - Click "Add project" with name "WhakerPy", and provide it a token
- Download sonar-scanner client. On macOS its:
brew install sonar-scanner. - Launch:
sonar-scanner -Dsonar.token="paste the token here" - 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.
Author/Copyright
Copyright (C) 2023-2024 - Brigitte Bigi - contact@sppas.org, Laboratoire Parole et Langage, Aix-en-Provence, France.
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