py-eagle-mqtt

Python based Docker for Eagle to MQTT reader

I have only ported this into a dockerfile, All Original code (with one minor modification for XML root tag) is credit to Ted Drain - TD22057.

You can run this with the following:

docker run --name py-eagle-mqtt -d -e "MQTT_BROKER_IP=" -e "MQTT_BROKER_PORT=" evanrich/py-eagle-mqtt

Environment variables (settings)

MQTT_BROKER_IP = your broker's IP address. Defaults to 192.168.1.20 (my local k8s node)

MQTT_BROKER_PORT = your broker's port #. Defaults to 1883 (used in my k8s)

Optionally, you can add the following:

KEEPALVE Sets the keepalive for MQTT, defaults to 60 seconds if not specificed

MQTT_USER Sets the MQTT user, if using authentication. Defaults to "None". Don't specify if not using authentication.

MQTT_PASS Sets the MQTT pasword if using authentication. Defaults to "None". Don't specify if not using authentication.

snippet from my MQTT Broker showing container connecting and dissconnecting when I start/stop it:

{"pid":1,"hostname":"mqtt-867c776494-6rc57","name":"mosca","level":30,"time":1535955884767,"msg":"client connected","client":"","v":1}
{"pid":1,"hostname":"mqtt-867c776494-6rc57","name":"mosca","level":30,"time":1535955905640,"msg":"closed","client":"","v":1}

Contributing

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Commit your changes: git commit -am 'Add some feature'
4. Push to the branch: git push origin my-new-feature
5. Submit a pull request :D

Original Readme as follows from creator, Ted Drain. You can view the original repo this is based on here: https://github.com/TD22057/T-Home

T-Home Automation Software

A collection of scripts and utilities for various home automation projects.

• bin/ Command line tools
• conf/ Sample config files
• init.d/ Init.d style Linux start up scripts
• python/ Main scripting library
• systemd/ Systemd (latest Raspian) start up scripts
• upstart/ Upstart (Ubuntu 14.04) style start up scripts

Currently most of the scripts read data from various sources and translate the data into JSON'ed dictionaries which get published to a MQTT message broker.

Rainforest Eagle Energy Monitor

http://rainforestautomation.com/rfa-z109-eagle/

python/tHome/eagle contains code for reading data directly from an Eagle energy monitor. Use bin/tHome-eagle.py to start a small web server and set the address as the "cloud provider" in the Eagle. The Eagle will publish energy data to the server which will converts it into a message and publishes that as a MQTT messages.