70 lines
2.6 KiB
Markdown
70 lines
2.6 KiB
Markdown
# py-eagle-mqtt
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Python based Docker for Eagle to MQTT reader
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I have only ported this into a dockerfile, All Original code (with one minor modification for XML root tag) is credit to
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You can run this with the following:
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```
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docker run --name py-eagle-mqtt -d -e "MQTT_BROKER_IP=" -e "MQTT_BROKER_PORT=" evanrich/py-eagle/mqtt
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```
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**MQTT_BROKER_IP** = your broker's IP address. Defaults to 192.168.1.20 (my local k8s node)
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**MQTT_BROKER_PORT** = your broker's port #. Defaults to 1883 (used in my k8s)
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Optionally, you can add the following:
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**"KEEPALVE="** Sets the keepalive for MQTT, defaults to 60 seconds if not specificed
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**"MQTT_USER="** Sets the MQTT user, if using authentication. Defaults to "None". Don't specify if not using authentication.
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**"MQTT_PASS="** Sets the MQTT pasword if using authentication. Defaults to "None". Don't specify if not using authentication.
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snippet from my MQTT Broker showing container connecting and dissconnecting when I start/stop it:
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```
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{"pid":1,"hostname":"mqtt-867c776494-6rc57","name":"mosca","level":30,"time":1535955884767,"msg":"client connected","client":"","v":1}
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{"pid":1,"hostname":"mqtt-867c776494-6rc57","name":"mosca","level":30,"time":1535955905640,"msg":"closed","client":"","v":1}
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```
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## Contributing
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1. Fork it!
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2. Create your feature branch: `git checkout -b my-new-feature`
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3. Commit your changes: `git commit -am 'Add some feature'`
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4. Push to the branch: `git push origin my-new-feature`
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5. Submit a pull request :D
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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
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---
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T-Home Automation Software
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==========================
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A collection of scripts and utilities for various home automation projects.
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- bin/ Command line tools
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- conf/ Sample config files
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- init.d/ Init.d style Linux start up scripts
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- python/ Main scripting library
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- systemd/ Systemd (latest Raspian) start up scripts
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- upstart/ Upstart (Ubuntu 14.04) style start up scripts
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Currently most of the scripts read data from various sources and
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translate the data into JSON'ed dictionaries which get published to a
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MQTT message broker.
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Rainforest Eagle Energy Monitor
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-------------------------------
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http://rainforestautomation.com/rfa-z109-eagle/
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python/tHome/eagle contains code for reading data directly from an
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Eagle energy monitor. Use bin/tHome-eagle.py to start a small web
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server and set the address as the "cloud provider" in the Eagle. The
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Eagle will publish energy data to the server which will converts it
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into a message and publishes that as a MQTT messages.
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