This application is designed to run on a Raspberry Pi via Balena Cloud, however it can also be executed directly on any hardware capable of running Python 3.x.

The code listens for the network broadcast messages from the energy monitor and converts these into a suitable format to push to InfluxDB. You can then view the data either by uploading the custom graphs to Grafana or by querying the database directly.

You'll need an InfluxDB database and a Grafana installation to store and view the data.

If you want to use additional Raspberry Pi's or similar for this, you can follow these guides:

• Install InfluxDB
• Install Grafana

If you want to go even further and have another pi with a screen as a dashboard for the house, then you can follow these steps and use BalenaDash to deploy that as well - just make sure you set the LAUNCH_URL environment variable in the BalenaDash app to point to your new dashboard!

The recommended method of installing this application is using Balena Cloud as it removes a lot of the complexity around maintaining and deploying a python application.

To deploy this application, follow the Getting Started with Raspberry Pi 2 and Python, however when you get to the part which starts A nice first project to get started is a simple Flask web server, clone this LightwaveRF Git repository and use that as the source instead of the link they give you.

NOTE: This application should work on any device for which Balena provide an image. It has been tested on both RaspberryPI 2 and 3

Manual installation is a bit more involved, however there are times when it can be useful (for example, local debugging)

The steps are as follows:

1. Clone this repository onto the relevant hardware and cd into that directory
2. Create a python virtual env venv .venv
3. Activate the virtual environment source .venv/bin/activate
4. Install the required dependencies pip install -r requirements.txt
5. Export the environment variables as listed under Configuration
6. Start the script by running python lwrf2influx.py

You will need to set the following variables at either device or application level in the Balena Cloud Dashboard (or on the command line via export commands for a manual installation):