Setup development sandbox¶
We’re happy you reached this point. You mean it. Let’s go.
For installing them on your workstation, you might want to have a look at the Run through Docker.
When running Linux, you might just want to install the infrastructure on your local workstation natively like Setup on Debian and Ubuntu.
Get the source code¶
mkdir -p develop; cd !$ git clone https://github.com/daq-tools/kotori.git cd kotori
make virtualenv source .venv2/bin/activate python setup.py develop # Install extra features # Data acquisition base pip install --process-dependency-links --editable .[daq] --verbose # Data acquisition base, with export features pip install --process-dependency-links --editable .[daq,export] --verbose # Data acquisition with data sink for binary payloads pip install --process-dependency-links --editable .[daq_binary] --verbose # Data storage for RDBMS databases and MongoDB pip install --process-dependency-links --editable .[storage_plus] --verbose
Please follow virtualenv.
Run on PyPy¶
sudo port install pypy virtualenv --python=pypy .venvpypy5 source .venvpypy5/bin/activate python setup.py develop pip install -e .[daq]
Run ad hoc¶
Please follow Kotori.
Add Project to PyCharm by using “Open Directory…”
There’s a Free Community edition of PyCharm, you should really give it a try.
Run as service¶
When having the desire to run the application as system service even while being in development mode, have a look at Kotori development with systemd. We actively use this scenario for integration scenarios, testing and debugging.