If you are running multiple projects on your machine you may at this point want to set up a virtual python environment. The key advantage of a venv is that project libraries are kept separate from the system and other projects.
Setting up a VENV
Open a terminal or SSH window.
Create a folder for your project
Navigate to the project folder
Create the virtual environment
python -m venv ./venv
Activate the virtual environment
We can now install and/or upgrade all the Python packages we require.
Set Up Tools makes it easier for us to install complex modules with C Libs. Current version is 62.2.3 (June 2022) and as the package is installed as standard we upgrade.
pip install setuptools --upgrade
ConfigObj allows us to have an easy to work with configuration file.
pip install configobj
Paho MQTT is the Python library that will allow us to subscribe to the MQTT transmissions from the node.
pip install paho-mqtt
Numpy is a fundamental package for Python arrays and is needed by Pandas.
pip install opencv-python pip install numpy
Pandas provides us with data structures, time series and powerful data statistics and analysis tools.
pip install pandas
MatPlotLib is a plotting package that we can use to visualise our data.
pip install matplotlib sudo apt-get install libatlas-base-dev
Flask provides us with a web application framework to display our data with
pip install flask
Requests is a HTTP Library. Probably not required.
pip install requests
Finding System Libraries.
We need to add the local include folder to the Python Path. This is relevant when operating inside a venv and maybe outside. Using:
Python import sys sys.path
We see that the venv site-packages folder is /home/<username>/HiveSci/venv/lib/python3.9/site-packages. Inside this location we will create a simple file with the name hivesci.pth and add the following single line.
Your Pi should now be ready for the Hive Scientia software. We would advise starting with the Hub Setup as this can be tested external to the Subscriber/Client.