PyQGIS icons cheatsheet generator

Script to convert a remote QRC (Qt Resources Collection files) into a markdown table to preview images.

This project covers QGIS project and generates a cheatsheet published on https://geotribu.github.io/pyqgis-icons-cheatsheet/.

Credits

Author: Julien M. (:octopus: Guts on GitHub, 🐦 GeoJulien on Twitter) for Geotribu collaborative website.

Code under MIT license.
Content and methodolgy under Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).
Website icon by Arunmozhi, CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0, via Wikimedia Commons.

Related plugin

There is also a plugin that allow to browse resources right into QGIS. Don't miss it!

demo_qgis_plugin_resource_browser.webm

Related contents

• blog posts/tutorials (in French 🇫🇷):
  • How to use embedded images in PyQGIS?
  • How to generate a table of embedded images in PyQGIS?
• resources file in QGIS project: https://github.com/qgis/QGIS/blob/master/images/images.qrc
• Qt documentation: https://doc.qt.io/qt-5/resources.html

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Development

Requirements

• Python 3.10+

• network connection authorized to github.com

• Material for Mkdocs Insiders (sponsorware) token set as environment variable GH_TOKEN_MATERIAL_INSIDERS

• dependencies for images processing listed on theme documentation. Typically, on Ubuntu:

  sudo apt install libcairo2-dev libfreetype6-dev libffi-dev libjpeg-dev libpng-dev libz-dev pngquant

Setup

Typically on Ubuntu:

python3 -m venv .venv
source .venv/bin/activate
python -m pip install -U pip setuptools wheel
python -m pip install -U -r requirements.txt
pre-commit install

Cheatsheet

Run the script:

python qrc_preview_in_md.py

The output markdown page is located at docs/index.md, overriding the version pushed as project has been started.

Website

Copy the README.MD into the docs folder:

cp README.md docs/credits.md

Build:

mkdocs build

Serve locally:

mkdocs serve

Open your browser on: http://localhost:8000

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Deployment

The website is monthly regenerated and deployed on GitHub Pages using GitHub Actions. For more details, see the deploy.yml workflow.