This repo contains the source code for the hybrid engine ground system UI
- (Only required if working on UI) Follow steps on InSpace wiki to apply for Qt educational license and install Qt tools https://imaginary-fennel-36b.notion.site/PyQt-9af8dcdfb79d4bae98e3848670bb9994
- Create a Python virtual environment
python -m venv <virtual environment name> - Activate the virtual environment
- On Windows: Run
.\<venv directory>\Scripts\Activate.ps1. Note that you made need modify your machines execution policy if on Windows 11. To do so, runSet-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser - On Linux/Mac: Run
source <venv directory>\bin\activate
- On Windows: Run
- Install the required dependencies by running
pip install -r requirements.txt - Build the UI either using custom build steps in Qt Creator or running the build script
python build.py
This application can be run either from the command line or in the Qt creator application. If running in Qt creator ensure that you have correctly added the custom build steps. To run this application from the command line run python main.py
This application was recently refactored to make more use of the "Signals and Slots" framework provided by Qt. This effectively implements the mediator and observer design patterns
In an effort to make the UI quickly accessible for all systems, PySide6-deploy is used to convert the Python code to C code and create an executable that is included in each new release. PySide6 uses the pysidedeploy.spec file that is included in this repo to compile the application into an executable. Note: this file requires specific information about where the project is on your machine as well as where the Python executable is. You can use pysidedeploy.spec.template and replace everything in <> brackets.
Once you have filled out the template file and created a pysidedeploy.spec file, create a fresh executable with the current code, using pyside6-deploy. This process takes a few minutes and is only really necesarry when making a new release. Furthermore, at the cost of accessbility, the executable will take slightly longer to launch than the python application but should perform comparatively.