DroneCAN Bus Management and Diagnostics App
Project description
DroneCAN GUI Tool
DroneCAN GUI Tool is a cross-platform (Windows/Linux/OSX) application for UAVCAN v0.9 and/or DroneCAN V1 management and diagnostics.
Read the docs at https://dronecan.org.
Ask questions at https://ardupilot.org/copter/docs/common-contact-us.html.
Read installation instructions:
Installing on GNU/Linux
The general approach is simple:
- Install PyQt5 for Python 3 using your OS' package manager (e.g. APT).
- Install the application itself from Git via PIP:
pip3 install git+https://github.com/DroneCAN/gui_tool@master
(it is not necessary to clone this repository manually). Alternatively, if you're a developer and you want to install your local copy, usepip3 install .
.
It also may be necessary to install additional dependencies, depending on your distribution (see details below).
Once the application is installed, you should see new desktop entries available in your desktop menu;
also a new executable dronecan_gui_tool
will be available in your PATH
.
If your desktop environment doesn't update the menu automatically, you may want to do it manually, e.g.
by invoking sudo update-desktop-database
(command depends on the distribution).
It is also recommended to install Matplotlib - it is not used by the application itself, but it may come in handy when using the embedded IPython console.
Debian-based distributions
sudo apt-get install -y python3-pip python3-setuptools python3-wheel
sudo apt-get install -y python3-numpy python3-pyqt5 python3-pyqt5.qtsvg git-core
sudo pip3 install git+https://github.com/DroneCAN/gui_tool@master
Troubleshooting
If installation fails with an error like below, try to install IPython directly with sudo pip3 install ipython
:
error: Setup script exited with error in ipython setup command: Invalid environment marker: sys_platform == "darwin" and platform_python_implementation == "CPython"
If you're still unable to install the package, please open a ticket.
RPM-based distributions
Maintainers wanted
Fedora 29+
sudo dnf install python3-PyQt5
sudo pip3 install git+https://github.com/DroneCAN/gui_tool@master
Installing on Windows
In order to install this application,
download and install the latest .msi
package from here: https://firmware.ardupilot.org/Tools/CAN_GUI/.
Building the MSI package
Please see the file winbuild.bat in this directory, or use the MSI file build by github actions on any commit
Installing on macOS
OSX support is a bit lacking in the way that installation doesn't create an entry in the applications menu, but this issue should be fixed someday in the future. Other than that, everything appears to function more or less correctly. If you have a choice, it is recommended to use Linux or Windows instead, as these ports are supported much better at the moment.
Homebrew option
- Install the Homebrew package manager for OSX.
- Run the following commands:
brew install python3
brew postinstall python3
pip3 install PyQt5
pip3 install git+https://github.com/DroneCAN/gui_tool@master
dronecan_gui_tool
MacPorts option
Install XCode from App Store, install MacPorts from https://www.macports.org/install.php, then run the commands below. If you're prompted to install Command Line Developer Tools, agree.
sudo port selfupdate
sudo port install curl-ca-bundle py35-pip py35-pyqt5 py35-numpy
sudo python3.5 -m pip install git+https://github.com/DroneCAN/gui_tool@master
We would like to provide prebuilt application packages instead of the mess above. Contributions adding this capability would be welcome.
Development
Releasing new version
First, deploy the new version to PyPI. In order to do that, perform the following steps:
- Update the version tuple in
version.py
, e.g.1, 0
, and commit this change. - Create a new tag with the same version number as in the version file, e.g.
git tag -a 1.0 -m v1.0
. - Push to master:
git push && git push --tags
Then, build a Windows MSI package using the instructions above, and upload the resulting MSI to the distribution server.
Code style
Please follow the existing code styles .
History
Much of the development of this tool is based upon original work by Pavel Kirienko and others from the UAVCAN Development Team. See https://github.com/UAVCAN/gui_tool for contributors.
Project details
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