Tonight I’ve been building on my earlier work on graphing, if you read a few blogs back you’ll know I got some basic graphing running on the Raspberry Pi 2, taking MQTT data from a sensor and storing it in MYSQL.
Well that was fine apart from the graphs having no anti-aliasing and hence looking a bit naff. The big problem was I could not get my head around how to handle missing items- if you have a sensor sending MQTT messages on a regular basis, well, you might have any number of reasons why some might be missed. If relying on waking up for a solar installation or just you’ve been in there and been messing with the unit or upgrading it – you could end up instead of a nice set of regular readings, some chunks missing!
Well, as of this evening the whole graphics library is in the bin, saving me some room in the PI. I discovered Highcharts.com – which for all except proper commercial use can be had for free. They use JQUERY and 2 highcharts libraries all of which are on CDNs and hence you only need 3 links to access them.
Here’s a sample – remembering that the data from the two lines were at completely different intervals and one had more samples than the other! All scaling, smoothing etc. is done completely automatically.
And if you don’t like the idea of relying on external libraries you can of course download the lot onto your Pi. Personally, I look at it this way, if the Internet isn’t working, I can’t access the graphs anyway! Hopefully now I’m using my un-interruptible power supply idea that will happen less and less (the bottom of the range Juicebar was involuntarily tested this evening – I forgot to plug it in – it powered the Pi for nearly 2 hours).
I ended up bringing everything into a PHP function with 2 arguments – the title of the line – and the SQL statement needed to get the results. I store all of my temperature readings with 3 fields – the value, a timedate stamp and the location – so I can easily select for example all front room readings from X date to Y date. The titles and data above are just dummy data I entered into the database. I have 5 months worth of internal, external temperature and internal humidity data available to import from Grovestreams as soon as I figure out how to do it.
If you look at their examples here you’ll see the source code is simply not that hard and dropping in some PHP to replace the static figures takes no time. This has saved me so much time and effort.
After some messing about, automating commas in the right place and struggling with the ridiculous fact that PHP doesn’t by default recognise global variables in a function (EH!!!?!!?!?!) I finally reduced the effort to adding lines to the graph to this..
drawgraph(“Autumn”,”select value,UNIX_TIMESTAMP(logged) as logging from readings where location=’office'”);
drawgraph(“Spring”,”select value,UNIX_TIMESTAMP(logged) as logging from readings where location=’kitchen'”);
That’s it… as many lines as needed. I’m sure once you look at this if it’s of use you’ll come up with your own scheme using your own preferred language.
I really do need to back up this Pi. There has to be a better way than turning it off for several hours to copy the SD…