pi-weatherstation 0.0.5

Description:

piweatherstation 0.0.5

pi_weatherstation
Read the data from pimoroni BME680 and display on pimoroni SPI screen


Dependencies:

wkhtmltopdf(https://wkhtmltopdf.org/downloads.html)

Install on RaspberryPI

Enable SPI and I2C
Install the dependencies

sudo apt-get install python3-venv python3-dev libatlas-base-dev wkhtmltopdf libopenjp2-7


Create the folder to store the virtualenv

mkdir pi_weatherstation

cd pi_weatherstation


Create the virtualenv and activate it

python3 -m venv .env

source .env/bin/activate


Install the via pip with the sensors dependencies

pip install pi_weatherstation\[st7789,bme680\]


Run

pi_weatherstation -l debug

Config file
You can copy the example config file from https://github.com/guilhermef/pi_weatherstation/blob/main/examples/config.ini
The field metrics_location_label will be added as a location label on prometheus.
Then you can run pi_weatherstation -c <path to config.ini>
Long term data storage
This will also start a prometheus metric server that you can use to scrape.
You can configure a label name location if you have multiple instances.
Install Prometheus on RaspberryPI
Create a free account on Grafana Cloud
Copy the existing prometheus.yml file to scrape the local pi_weatherstation,
and add your remote_write auth on it.
https://github.com/guilhermef/pi_weatherstation/blob/main/examples/prometheus.yml
Import the example dashboard on your new Grafana: https://github.com/guilhermef/pi_weatherstation/blob/main/examples/grafana_dashboard.json
Running as a service
If you want, you can use the systemd service unit file as an example
https://github.com/guilhermef/pi_weatherstation/blob/main/examples/pi_weatherstation.service
to /etc/systemd/system/pi_weatherstation.service
then, run:
sudo systemctl daemon-reload
sudo systemctl enable pi_weatherstation.service
sudo systemctl start pi_weatherstation.service