Spurious sensor data can wreak havoc in an otherwise finely-tuned home automation system. I use temperature data from an Aeotech Multisensor 6 to monitor the environment in our greenhouse. Living in Canada, I cannot rely solely on passive systems to maintain the temperature, particularly at night. So, using the temperature and humidity measurements transmitted back to the controller over Z-wave, I control devices inside the greenhouse that heat and humidify the environment.
Indigo currently shipping version 7 is a leading Mac home automation software package. One of it’s mostly widely-used features is its ability to execute user-provided Python scripts of AppleScripts. In my previous introduction to scripting Indigo with Python I showed how to use the Indigo plugin host to execute Python scripts. In this post, I’ll describe how I use a third-party charting package rrdtool to graph data from Indigo by taking advantage of Indigo’s ability to execute arbitrary Python scripts.
I’ve used Indigo home automation software for a few years. It’s a integrated home automation software environment for the Mac and its a solid stable and well-supported platform.
Within Indigo, it’s possible to script triggers and actions either AppleScript or Python. It’s funny - AppleScript often looks like the easier route to take. It looks more like plain English than Python. But as they say, looks are deceiving. Two bits of bad news put the nail in AppleScript’s coffin for me - as least with Indigo.
Indigo is a well-known home automation controller software package for Mac OS X. I’ve written a plugin for Indigo 6 that allows you to create a virtual weather station from Environment Canada data. If you live in Canada, this will be a useful way of using weather data in your Indigo rules. For example, you could use wind and temperature data to adjust your irrigation schedule.
You can download the plugin from its git repo.
Indigo 6 is a popular home automation controller software package on the Mac. Extensibility is one of its main features and it allows users to add a range of features to suit their needs.
Using Python scripting, users can create plugins that provide extended functionality. These plugins can provide a custom configuration UI to the user. Since the documentation around a particular feature - dynamic lists was lacking, I’ve written up my approach here.