Realtime energy usage reporting from Bright MQTT feed (SEP) into InfluxDB/VictoriaMetrics. Can be installed and run via pip or docker.
Copy config.yaml.example to config.yaml and fill in your MQTT login details, and your influx/vm server details.
The config file should be placed into one of the following locations:
/etc/energy-usage/config.yaml~/.config/energy-usage/config.yaml- Any dir pointed at by
ENERGY-USAGEDIRenv var
Version 0.6 and above supports local MQTT as offered by recent glow CAD firmwares (announcement blog post). The data format is subtly different:
- The
gidlabel will not be populated unit_rateandstanding_chargemetrics will be published for each meter typegas_meter_reading_kwhwill also be published
To use with a simple local MQTT broker with no authentication, use a config file like:
---
ca_certs: "" # Disables TLS
mqtt:
server: 10.0.0.1
port: 1883
username: "" # Disables auth
password: "" # Disables auth
topic: "glow/#"
influx:
server: 10.0.0.1
port: 8428And configure the CAD device with mqtt server 10.0.0.1, port 1883 and topic glow
pip install energy-usage
energy-usage [--debug] [--noop]--debugenables verbose output about what the script is doing--noopmode will retrieve stats from mqtt, and show you what would be published to influx but does not actually send anything
docker build -t energy-usage:latest .docker run -v config.yaml:/etc/energy-usage/config.yaml energy-usage:latestgrafana.energy-usage.json contains an example Grafana dashboard which consumes this data (using the prometheus query interface of VictoriaMetrics).
Upon import of the dashboard, you will be prompted to select your datasource, and enter your unit and standing charges. These are used to plot the costs of realtime usage data, and the daily/weekly/monthly consumption using accumulated usage statistics by the meters. The dashboard does not currently use live tarrif data, as this is not provided in the Bright MQTT feed.
grafana.energy-usage.local-mqtt.json contains a similar dashboard for use with the local mqtt data format.
Upon import of the dashboard, you will be prompted to select your datasource. When using local MQTT, the tariff data is included in the published metrics, and the costs displayed are using the live tariff data.
- Python 3
- VictoriaMetrics 1.40
- Docker 19.03.05
- Nomad 0.12.4
