This is going to be my first post here. And I decided to cover steps I've taken to implement the following:
- Measure Raspberry Pi's CPU temperature,
- Log the data into InfluxDB,
- Monitor it using Grafana.
To set things up faster I'm going to use docker containers.
RPi's CPU temperature
For that I decided to use Python script with installed gpiozero library:
from gpiozero import CPUTemperature
cpu = CPUTemperature()
val = cpu.temperature
Float value of e.g. 58.1 will be stored in that variable.
Logging of the data into InfluxDB
InfluxDB is an example of time series database. Previously I've never worked with one, so I decided to give it a try instead of Prometheus.
What basically I need from the database is to store pushed values in it and later return them to be visualized in Grafana dashboard.
In order to push values into database we are going to use following piece of code:
import influxdb_client
from influxdb_client import Point
from influxdb_client.client.write_api import SYNCHRONOUS
bucket = os.environ.get("INFLUXDB_BUCKET")
org = os.environ.get("INFLUXDB_ORG")
token = os.environ.get("INFLUXDB_TOKEN")
url = os.environ.get("INFLUXDB_URL")
influx_client = influxdb_client.InfluxDBClient(url=url, token=token, org=org)
write_api = influx_client.write_api(write_options=SYNCHRONOUS)
point = (
Point("measurement")
.tag("source", "cpu")
.field("temperature", val)
)
write_api.write(bucket=bucket, org=org, record=point)
token will be generated by InfluxDB after you finish setting up of account via web UI by providing username, password, org and bucket. More on that in a part about setting up of docker containers.
This information can also be found on Get Started page of InfluxDB by accessing e.g. http://localhost:8086.
Docker containers
Before we'll be able to log the values and get anything to visualize, we need to configure docker containers with relevant services. For that I'm going to use docker-compose.yml file.
Since I want to preserve all the logged data including dashboards on Grafana even when containers were removed, persistent volumes are used:
volumes:
influxdb_data:
grafana_data:
And specified accordingly in services definition part:
services:
influxdb:
image: influxdb
ports:
- "8086:8086"
volumes:
- influxdb_data:/var/lib/influxdb2
grafana:
image: grafana/grafana
ports:
- "3000:3000"
links:
- influxdb
volumes:
- grafana_data:/var/lib/grafana
One can also notice that I specified links property as well. This is to make things easier when referring from one container to another. E.g. when I'll be specifying URL of InfluxDB while setting up data source in Grafana, I'll simply put http://influxdb:8086. Pretty neat, right?
It was a bit tricky to get CPU temperature of a host machine (Raspberry Pi) from within the running docker container. This Issue on GitHub has helped me :
services:
monitor:
devices:
- /dev/gpiomem:/dev/gpiomem
Monitoring the data using Grafana
Once everything else is set up we can head to Grafana web UI and create a new data source which is InfluxDB in our case.
Provided screenshot will help to make it more quickly. Creating a dashboard won't be an issue too - you can write the query yourself or just copy the one provided by Script editor inside Data Explorer page in InfluxDB web UI.
Repository
I put everything inside one repository on GitHub: https://github.com/akarazeev/temp-monitor
- Just download it on Raspberry Pi with
git clone https://github.com/akarazeev/temp-monitor, - Go inside
cd temp-monitor, - And start the containers with
sudo docker compose -d.
The end!
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