This project aims to pull data via mqtt from local Dyson Pure Cool Link devices and push that data to InfluxDB for graphic purposes.
Could definitely be extended for other Dyson devices (since we're using LibDyson)
Examples contains Kubernetes (k8s) examples of how to deploy the related container as a CronJob, and read from secrets to fill in the ini files containing sensitive info.
Here is an example of this data graphed from InfluxDB/Prometheus into Grafana:
Typically, this is best run on a recurring basis i.e. a cronjob or as a k8s CronJob. To start, you'll need to get the credentials for your Dyson fan.
Some notes for obtaining these values can be found here.
Once collected, you'll want to colocate the code with a devices.ini setup similarly to the example .dist file.
If using InfluxDB, you'll also want to setup an influxdb.ini file (like the example .dist file).
If you're using Prometheus, currently this is setup to use pushgateway.
To run the application, from the dyson-graph folder in a virtualenv, run python3 __init__.py with either the --influxdb option or --prom push -pi 1.1.1.1:9091 for influx or prometheus pushgateway.
Currently the prometheus config (which curreently only does push) requires parameters entered as arguments. InfluxDB is still the default functionality in the container as well.
To setup as a cronjob in k8s, see the example files (in examples) for examples on setting up with influxdb or prometheus.
Happy Graphing!
usage: __init__.py [-h] [-i] [-p {push,export}] [-pi PI]
Graph some dysons
optional arguments:
-h, --help show this help message and exit
-i, --influxdb Send metrics to InfluxDB
-p {push,export}, --prom {push,export}
Provide metrics for Prometheus, either push gateway or exporter
-pi PI prometheus pushgateway ip (for use with -p push)