Pimoroni Enviroplus dashboard
Table of Contents
- About the Project
- Getting Started
About The Project
To get the prometheus enviroplus-exporter up and running I’m assuming you already have Prometheus and Grafana running somewhere. Note: I wouldn’t recommend running Prometheus on a Raspberry Pi (using a local SD card) as this could drastically reduce the lifetime of the SD card as samples are written quite often to disk.
To run the enviroplus-exporter you need to have the enviroplus-python library by Pimoroni installed:
One-line (Installs enviroplus-python library from GitHub)
curl -sSL https://get.pimoroni.com/enviroplus | bash
Note Raspbian Lite users may first need to install git:
sudo apt install git
We’re going to run the enviroplus-exporter as the user
pi in the directory
/usr/src/. Adjust this as you wish.
1.Clone the enviroplus-exporter repository
cd git clone https://github.com/tijmenvandenbrink/enviroplus_exporter.git sudo cp -r enviroplus_exporter /usr/src/ sudo chown -R pi:pi /usr/src/enviroplus_exporter
2.Install as a Systemd service
cd /usr/src/enviroplus_exporter sudo cp contrib/enviroplus-exporter.service /etc/systemd/system/enviroplus-exporter.service sudo chmod 644 /etc/systemd/system/enviroplus-exporter.service sudo systemctl daemon-reload
3.Start the enviroplus-exporter service
sudo systemctl start enviroplus-exporter
4.Check the status of the service
sudo systemctl status enviroplus-exporter
If the service is running correctly, the output should resemble the following:
pi@raspberrypi:/usr/src/enviroplus_exporter $ sudo systemctl status enviroplus-exporter ● enviroplus-exporter.service - Enviroplus-exporter service Loaded: loaded (/etc/systemd/system/enviroplus-exporter.service; disabled; vendor preset: enabled) Active: active (running) since Fri 2020-01-17 14:13:41 CET; 5s ago Main PID: 30373 (python) Tasks: 2 (limit: 4915) Memory: 6.0M CGroup: /system.slice/enviroplus-exporter.service └─30373 /usr/bin/python /usr/src/enviroplus_exporter/enviroplus_exporter.py --bind=0.0.0.0 --port=8000 Jan 17 14:13:41 wall-e systemd: Started Enviroplus-exporter service. Jan 17 14:13:41 wall-e python: 2020-01-17 14:13:41.565 INFO enviroplus_exporter.py - Expose readings from the Enviro+ sensor by Pimoroni in Prometheus format Jan 17 14:13:41 wall-e python: Press Ctrl+C to exit! Jan 17 14:13:41 wall-e python: 2020-01-17 14:13:41.581 INFO Listening on http://0.0.0.0:8000
5.Enable at boot time
sudo systemctl enable enviroplus-exporter
So now we’ve setup the Prometheus enviroplus-exporter we can start scraping this endpoint from our Prometheus server and get a nice dashboard using Grafana.
If you haven’t setup Prometheus yet have a look at the installation guide here.
Below is a simple scraping config:
# Sample config for Prometheus. global: scrape_interval: 15s # By default, scrape targets every 15 seconds. evaluation_interval: 15s # By default, scrape targets every 15 seconds. # scrape_timeout is set to the global default (10s). # Attach these labels to any time series or alerts when communicating with # external systems (federation, remote storage, Alertmanager). external_labels: monitor: 'external' # Load and evaluate rules in this file every 'evaluation_interval' seconds. rule_files: # - "first.rules" # - "second.rules" # A scrape configuration containing exactly one endpoint to scrape: # Here it's Prometheus itself. scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. - job_name: 'prometheus' # Override the global default and scrape targets from this job every 5 seconds. scrape_interval: 15s scrape_timeout: 15s # metrics_path defaults to '/metrics' # scheme defaults to 'http'. static_configs: - targets: ['localhost:9090'] - job_name: node # If prometheus-node-exporter is installed, grab stats about the local # machine by default. static_configs: - targets: ['localhost:9100'] # If environmentplus-exporter is installed, grab stats about the local # machine by default. - job_name: environment static_configs: - targets: ['localhost:8000'] labels: group: 'environment' location: 'Amsterdam' - targets: ['newyork.example.com:8001'] labels: group: 'environment' location: 'New York'
I added two labels to the targets
group: environment and
location: SomeLocation. The Grafana dashboard uses these labels to distinguish the various locations.
I will publish a Grafana Dashboard shortly.
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature)
- Commit your Changes (
git commit -m 'Add some AmazingFeature')
- Push to the Branch (
git push origin feature/AmazingFeature)
- Open a Pull Request
Distributed under the MIT License. See
LICENSE for more information.
Data source config
Upload an updated version of an exported dashboard.json file from Grafana