This repository contains a boilerplate for PyQt5 based applications.
- Dependency management using pipenv
- Use the standard
setup.py
to build resources, docs, etc. - Manage resources and UI forms using a Qt Creator project
- Generate a compiled application for Windows, Linux and macOS using PyInstaller
- Multilanguage support
- Document using Sphinx
- Flake8 linting
First of all make sure you have pipenv installed and then initialize a working development environment like this:
pipenv install --dev
Once all dependencies are installed, you should enter the environment shell like this:
pipenv shell
Autogenerated files such as translation binaries or compiled forms are required but not pushed to the repository, so the first time you will need to generate them as described in the coming section. Once done, you can run the application like this:
app
In order to ease the development process, the Qt Creator project app.pro
is
provided. You can open it to edit the UI files or to manage resources. The
Python source files are also present on the project so that the translation tool
can extract strings from sources. Qt Linguist can be used to translate.
You can build the resources and UI files like this:
python setup.py build_ui
Translations can be edited using Qt Linguist, part of the Qt SDK. In order to
build the translations, you will need to have the Qt SDK tools to your PATH
,
in particular the lrelease
command. Translations can be built like this:
python setup.py build_tr
Note that these steps are also required prior to installation and/or distribution.
You can generate a compiled application so that end-users do not need to
install anything. You can tweak some settings on the app.spec
file. It can
be generated like this:
python setup.py bdist_app
Sphinx is used for documentation purposes. You can tweak its configuration in
docs/conf.py
and the documentation can be built like this:
python setup.py build_docs
Flake8 is a great tool to check for style issues, unused imports and similar
stuff. You can tweak .flake8
to ignore certain types of errors, increase the
maximum line length, etc. pipenv integrates Flake8, you can run it like
this:
pipenv check --style app