Better environmental monitoring with the BME280 temperature sensor

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Previously on Monitor (And Automate) All The Things:

Ever since I originally moved to the Raspberry Pi setup for our temperature monitoring back in 2017, I’ve been using DHT22 temperature/humidity sensors. They work well enough but they’re quite low-cost and we were noticing that as soon as the temperature starting cooling down outside, the humidity reading would shoot up until it hit 100% even though that clearly was not the case just from standing outside and feeling that it wasn’t muggy. Unless it was properly low humidity, this 100% reading would persist throughout the night until after the sun came up, even after replacing the sensor with a brand new one because the old one got wet in a particularly heavy downpour.

I started investigating alternative sensors and then remembered I’d previously come across the Bosch BME280 which in addition to temperature and humidity also measures atmospheric pressure. A bare sensor by itself obviously isn’t particularly useful, but I found a mob just up in Newcastle called Core Electronics who actually manufacture their own circuit boards to put sensors and other little “maker” things on. Conveniently one of the sensors they offer is the aforementioned BME280 on this nifty little compact board that has a common connector known as “PiicoDev” from them so you don’t need to solder anything. (The connector is also known as “STEMMA QT” or “Qwiic” depending on which company is making it, but they’re all physically identical.)

I found a few MicroPython libraries for the BME280 and settled on this one because it also calculates the dew point for you. After that I ordered a couple of the sensors and got to hacking on my esp32-sensor-reader-mqtt project to add the ability to select which sensor type you’re using.

(I also ended up also rolling my esp32-air-quality-reader code in to allow usage of the PMS5003 air quality sensor we have because that repository was using an old and creaky version of the code I was busily hacking on, and given I had added support for the BME280 already it was a trivial matter to also do the PMS5003.)

As all of that progressed, the number of options the esp32-sensor-reader-mqtt code could use was increasing and I realised I needed some way of changing settings that was easier to use than having to remember a bunch of mosquitto_pub CLI commands and the specific JSON payload and MQTT topic each one used. I’d previously started writing an admin frontend for them as part of my pi-home-dashboard project but hadn’t finished it, so dusted that off and ended up with this lovely setup!

A screenshot of the Pi Home Dashboard Admin page, with buttons along the top to select which client is being configured, a bunch of text boxes underneath for setting the configuration, and a "Logs" box at the bottom showing all the logs being emitted from the board.

It’s all in a single HTML page, uses MQTT.js to talk directly to the MQTT broker that’s running on the Raspberry Pi, Vue.js for the interactivity, and Bootstrap to make it look nice. It also uses MQTT’s Last Will and Testament functionality to track whether or not the board is online (it restarts if you update a setting) and disable the field inputs if it’s not, plus it allows for remote software updating directly from GitHub so I don’t need to physically plug the boards into the computer like some sort of barbarian when I want to update them! And it’ll grab the latest Git commit hash and save it so I know which code is actually running on the board.

With that all done, I updated our Grafana dashboard with the new data.

A screenshot showing spark graphs with the current temperature and humidity for the four ESP32s we have, our power usage and consumption, outdoor air quality, and the two new bits, two gauges showing the current dew point and atmospheric pressure.

Pleasingly, all of the new readings have been very close to what the Bureau of Meteorology reports!

And finally for my birthday later this month I’m getting Core Electronics’ PiicoDev Starter Kit which has several other sensors in it, and on top of that I included an ENS160 air quality sensor which measures VOCs and eCO2 indoors so I have a lot more more hacking fun to come. 😁

Hello, 2024

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I’ve never been someone who has ever made New Year’s Resolutions, but at the same time looking back at my blog post about learning musical instruments and inspired by Georgie’s blog post the other day, I’m going to do a bit of this:

If you’ve known me for a while, you know that I don’t love making yearly goals or resolutions, but I thought I’d write down a few intentions for the year.

I think the main thing that’s really triggered it is the fact that I’ve had my guitar for three and a half years now (plus the Ibanez JIVA I got at the end of 2022), and I still can’t actually play any songs. I’ve got the basic open chords pretty well down (I’m even managing to mostly get the F Major barre chord fully ringing out about 80% of the time), and I can play the C Major scale accurately and at a decent pace, but that’s not a lot for the amount of time that’s passed.

Well okay, I guess that’s not strictly true, I’ve done a bit of mucking around and recorded a few things, the most recent and one I’m most happiest with being this:

But I still can’t do any sort of string-crossing like I’ve been learning on the bass, so stuff like the song above is just me sticking to the one string and moving up and down the frets. I’m by far and away the best at the drums, and I really need to knuckle down and actually get into a proper practice routine with the guitar, so hopefully the act of writing this blog post will get me into gear!

The other thing I want to do more of this year is consistent miniature painting. I’ve been documenting my efforts getting through Warhammer Quest: Cursed City and I started out strong and ended up getting through half of the sixty miniatures in the box, but then… completely stopped painting anything. I managed to do half of my Navis Breachers in September but didn’t do the rest, and after that did only two of the smallest goblins from the Warhammer Underworlds warband Grinkrak’s Looncourt in October. After that there was a whole lot of nothing until I started the Vargskyr last week. I wouldn’t say it felt like work, but I was just really uninspired and blargh, and that’s not really a good headspace to be in for something that’s creative. You could make the argument that it was just burnout from having painted 32 miniatures over the course of like a month, but I’ve had this same pattern pretty much every prior year as well. So I think I’m going to try to just do a bit of painting each week and get something done, rather than going boom and bust. 🤞🏻

On a more positive note, one thing I have been enjoying doing is reading a couple of chapters of a book before bed. This has gotten me through the entirety (bar the last book) of the 41 books of Terry Pratchett’s Discworld novels, all of Iain M. Banks’ Culture series, as well as Timothy Zahn’s Quadrail one. Most recently I’m doing yet another re-read of the very excellent Chronicles of the Shadow War trilogy, which is a continuation of Willow set fifteen years after the movie.

So yes, onwards and musically upwards!

Automating Raspberry Pi setup (and ESP32, and Linode) with Ansible

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(Update April 2024: When I originally wrote this blog post, the official Raspberry Pi distribution of Debian hadn’t been updated for Debian 12 and so I was still on Debian 11. They’ve since updated it, so I ran a trial run on my spare Raspberry Pi 4B+ and made a couple of minor changes to the Ansible playbooks, and flashing the “production” 4B+ to Debian 12 with the full Ansible setup was an absolute unqualified success! 🎉)

Back in 2017 when I first moved off the old and busted NinjaBlocks platform to a Raspberry Pi for my temperature sensor setup, I said:

[…] if the hardware itself died I’d be stuck; yes, it was all built on “open hardware” but I didn’t know enough about it all to be able to recreate it.

I definitely have no problems with the hardware now (and with my move to ESP32s and MQTT for the temperature sensors themselves it’s even simpler), but I recently realised that the software configuration on the Raspberry Pis was still a problem: the configuration and setup of everything had had a steady pace of organic updates and tweaks and if one of the SD cards died or had a problem and I had to reformat it, I’d have a hell of a time recreating it afresh. On the “main” Raspberry Pi 4B+ alone I would need to:

  • Install all the various software packages (vim, git, tmux, Docker, etc.)
  • Add my custom shell configuration and bashmarks
  • Install Chrony and configure it to allow access from the ESP32s
  • Configure the drivers for the JustBoom DAC HAT and install and configure shairport-sync to allow for AirPlay to the big speakers in the lounge room
  • Configure and run the Mosquitto Docker container to allow all my temperature, humidity, air quality, and power data to flow to all the various places it needs to go
  • Configure and run the pi-home-dashboard Docker container so the Raspberry Pi Zero Ws can display our little temperature dashboards
  • Configure and run the powerwall-to-pvoutput-uploader Docker container so our power usage data can be both sent to PV Output and also be read by InfluxDB and the Raspberry Pi Zero W dashboard

In addition to all of that, the Raspberry Pi Zero Ws that display our little dashboards required a whole bunch of constant tweaks and changes to get them working properly (they run a full Linux desktop and display the dashboard in Chromium, and Chromium has an extremely irritating habit of giving a “Chromium didn’t shut down properly” message instead of loading the page you tell it to if there were basically any issues at all; fixing that required a whole lot of trial and error until I narrowed down the specific incantations to get it to stop).

Setting all of that back up from scratch would have been an absolute nightmare so I figured I should probably automate it in some fashion. And in addition, it means I would be able to keep future changes under version control as well so no matter what I’ve done I’d be able to restore it if necessary. At work we use a piece of software called Ansible to bring up the required software and configuration on the Amazon EC2 instances we run, so I thought that’d be a good place to start.

Even though it’s developed by RedHat and isn’t just some random open-source piece of software (although it is open-source), I still found the documentation to be not great in terms of explaining everything step-by-step and building on that knowledge in subsequent steps. But after a bunch of reading and trial and error, plus several weeks of getting it all working, I have my entire Raspberry Pi setup for all the Pis we have at home fully automated! I can wipe the SD card, reflash it with a fresh copy of Raspbian, then run Ansible and it gets everything installed and configured and working exactly how I need it.

I uploaded the whole shebang to GitHub to hopefully help others out as well. It’s obviously completely customised for our setup, but it at least gives a reasonable idea of how everything works.

It starts by creating an inventory, basically a list of the hostnames you want to run playbooks against (a “playbook” is a file that describes the list of steps to run in order to get to the desired state you need). Alongside that, you can group the hosts together so you can target a playbook to run on a specific set of hosts. For example, the server group only consists of the main Raspberry Pi 4B+ described above, but the dashboards consists of all three of the Pi Zero Ws that are running the dashboards.

One of the really handy things with Ansible is that you can set variables that will be reused in various places, and you can configure them for all hosts, or per group, or per individual host. I’m using a combination of those, and inside the server group it will actually look up items from within 1Password so I can commit the code to source control and not be storing secrets in it. You can also set variables per individual host as well, which I use to specify the dashboard URL that each of the Pi Zero Ws should load.

The playbooks themselves live in the playbooks directory, and they specify a set of hosts to run against, and a series of roles to run. The roles are reusable sets of tasks, so for example I run the initialisation role against all of the Raspberry Pis no matter what they’re ultimately going to be doing, for doing the initial things like setting the hostname and updating all the software packages, configuring Git, etc.

After the initialisation is done, the server playbook will run all the various steps to get Docker installed, NVM and Node.js installed, then get everything else configured and installed that needs to be configured and installed. Compare to the dashboards playbook that will also run the same initialisation steps, but then runs the dashboard role which installs the drivers for the HyperPixel display and various other things that need doing, and will configure the autostart file so on boot Chromium comes up with the correct URL depending on which Raspberry Pi it’s running on! The dashboard_url variable in that template file is set in the host_vars directory per specific hostname, so I can customise it for each one.

After my complete success here, I decided I wanted to do the same for when I needed to reflash my ESP32s, because previous it relied on me remembering to update a configuration file with the name of the ESP32 and I had definitely messed that up on a couple of occasions. That was relatively straightforwards as well, and I added it to my esp32-sensor-reader-mqtt repository (and included a playbook to just erase a board because I never did it quite often enough to remember what the specific steps were).

And then finally after that, I decided I should also automate my Linode setup. I’d posted back in 2019 about using Linode’s StackScripts to set everything up, but the problem with that is that you run it at the very beginning and your Linode is set up appropriately at that point, but any changes you make after that aren’t saved anywhere, so you’re essentially back to square one again. The final sentence in that blog post was this:

As long as I’m disciplined about remembering to update my StackScript when I make software changes, whenever the next big move to a new VM is should be a hell of a lot simpler.

But in news that will surprise nobody, I was not at all disciplined. 😅 The other problem is that you can’t test the StackScript as you’re going (they only run when you first spin up the Linode afresh), you have to update it and hope those steps work in future. With Ansible, the idea is that everything is idempotent, so you can run everything as many times as you want and it won’t change if something has been configured already, so it enables you to easily test out parts of the playbook updates without needing to wipe the whole damn thing. It’s taken a bit over a month of working on it after dinner and on weekends, but now the whole Linode setup is fully automated as well.

However, the other wrinkle is that where the Raspberry Pis don’t store any data on them and can just be wiped without problem, my Linode hosts this blog, my website and all its images, all the various images I’ve posted to Ars Technica over the years, and a bunch of other things too. I ended up splitting the Ansible process into two, there’s the configuration and then another separate playbook that copies everything over from the old Linode onto the new one and then registers a new SSL certificate with Let’s Encrypt and updates Cloudflare to point the DNS of my website and blog and the general server hostname to the new Linode.

That bit was a bit nerve-wracking, I tested the process a bunch of times and pulled the trigger for real last weekend, then had a minor panic attack when I realised that the database dump of my website hadn’t been reimported since I originally tested the process back on the 9th (I suspect it didn’t import because there was already data in the database, but unfortunately it didn’t actually error out so I didn’t know), so I didn’t have any of the posts I’d made nor any of the temperature data since then. 😬 Fortunately I realised this the morning after I’d done the migration and had wisely left the old Linode up and running, so I renamed the database on the new Linode so I could harvest the temperature data that been sent since the migration, dumped the old database from the old Linode and imported it into the correct location on the new Linode, and then exported and reimported just the missing temperature data, and we’re back in business.

This time I should be able to revisit this in three or four years when I next do a big upgrade and it should actually be quite painless (famous last words, I know, but I’m much more confident this time).

A musical journey

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Sixteen years ago today, I bought my first guitar! It was a Fender Squire in a $400 everything-you-need starter kit, but I never managed to stick with it enough to learn much of anything, barely even the most basic open chords. The learning DVD I bought was boring as hell, the guitar was really heavy and kept going out of tune, and the amplifier it came with sounded awful.

I didn’t get rid of it though, it moved from house to house with us, and it was just sitting in our back room collecting dust when on a lark during the first COVID lockdowns in 2020 I decided to pull it out and maybe have a stab at learning to play again given the sheer richness of learning resources to choose from these days. First thing to do was to get it tuned up, and the very first string I tried to tune immediately snapped. I looked down the neck and realised that it warped to all hell and back, and given I never particularly liked it—in either a nice-to-play or an aesthetic sense—I decided I’d actually splurge a bit and spend more and get a guitar that made me want to pick up and play it.

After a ton of research on learning all about guitar pickups and where the sweet spot is for a guitar that’s properly good in its own right but not unreasonably expensive, I settled on an Epiphone SG Standard in ebony.

A photo of a shiny black electric guitar sitting sitting upright against the wall.

It arrived in mid-June and looked absolutely mint. For actually learning how to play again, I started with Fender Play. It was pretty decent, and absolutely a huge step up from the extraordinarily dry learning DVD I bought in 2007.

Then come mid-2021 we had more lockdowns, even harsher than 2020’s, where we weren’t even allowed to travel more than 5km from our homes. At some point during all this I randomly remembered how much I’d always enjoyed playing the drums in Guitar Hero back in the day, and that a friend had mentioned he had an electronic drum kit from Roland, and I thought, “Why not learn to play the drums too!”

Cue more research, and I settled on Roland’s TD-17KV drum kit.

A photo of an assembled Roland electronic drum kit.

It arrived at the end of July and came with a trial of Melodics, which is a learn-to-play drums app (and also keyboard and also synth pad) where you plug the drum kit into your iPad or computer and it has an almost Guitar Hero-esque system where it scrolls across and you hit the correct pad or cymbal with the particular hand at the right time.

A screenshot of the iPad app "Melodics". It's showing a pattern of notes to hit on the drums, right/left/right/right/left/right/left/left on the hi-hat and snare, so you end up doing in groups of three, but for the kick drum it's on every second note.

It works really well, but while I didn’t want an actual in-person teacher, I felt like I needed something a bit more than just learning from the app. I discovered this drum teacher who’s based in the UK, Mike Barnes, and he puts out a ton of great videos on his YouTube channel, they’re really clear and he does them all in one single take rather than that thing that so many people on YouTube do where they’ll edit out every little bit of silence or gap. He’s got a Buy Me A Coffee page too where you can subscribe for a monthly fee and he’ll send you notations of the stuff he puts up on YouTube, works with you for a practice plan, and you can email him with questions or to get feedback on things you’re working on. I signed up to that in mid-2022 and it’s been really good, highly recommended if you’re learning drums!

On the drum kit itself, I’ve since replaced the stock hi-hat pedal and cymbal with a VH-11 on a proper acoustic hi-hat stand, and it physically moves open and closed and you get a much better sense of how to manipulate the pedal to get the sound you want.

I was thoroughly enjoying learning all this new stuff, and at the end of July 2022 I bought a for-real guitar amplifier with vacuum tubes, the extremely eye-catching Orange Rocker 15 Combo, and in August bought some guitar pedals and decided to treat myself to a new guitar. Nothing was wrong with the old one but I wanted some more variety. I did a bunch more research and became completely obsessed with Nita Strauss‘ signature Ibanez JIVA10 guitar, the amount of different tones you can get out of it thanks to the two custom humbucker pickups and the middle single coil is brilliant, and it looks so pretty to boot. 😍

Also at the start of August that year I ditched Fender Play and signed up for Guitar Zero 2 Hero, which is a course by this Aussie guy based in Melbourne.

For my 40th birthday this year, I decided to keep expanding my musical repertoire and bought a bass guitar and amplifier! A friend of mine had mentioned that he had bought a bass and was learning to play which is what inspired me. Cue another bunch of research and I landed on the extremely handsome Yamaha BB-434 bass and another Orange amplifier.

A photo of a Yamaha BB-343 bass guitar propped up against the wall. The body fades from black around the edges into a dark rich orange/red wood in the middle
A photo of an Orange Crush Bass 25 bass guitar amp. It has a black mesh on the front with the rest of it being the customary bright orange colour

I’d seen many recommendations for the “Beginner to Badass” course at bassbuzz.com so I signed up for that and can confirm it’s excellent. You get a really good feeling of progress and learning as you go through the course and it makes you want to keep playing more, and the guy that produces it gives a really good indication of when you should continue to the next course versus getting stuck in one lesson and losing motivation.

I actually ended up realising that I wasn’t feeling that sense of progress or learning from the Guitar Zero 2 Hero course and was kind of stuck in the mud and hadn’t been playing it. So I ditched that one and found multiple recommendations from people on the bassbazz.com forums saying the closest thing to the Beginner to Badass course for guitar is Justin Guitar (which weirdly is another Aussie guy). I’ve only been doing it since the end of September this year, but it’s very promising so far and I’m getting more of a feeling of progress. In the almost three and a half years years since I bought my guitar I still haven’t managed to get anywhere beyond basic open chords and a couple of power chords from the Fender Play course, but I’m feeling more motivated now to actually stick with it and learn, and I think the Justin Guitar course is helping.

And then finally, because I’m already subscribed to Melodics and it also includes a keyboard course, I bought a MIDI keyboard at the end of last month as well. 😅

A photo of a Roland A-49 MIDI keyboard in white sitting on my (also white) desk. As the name suggests it has 49 keys, and has a number of buttons and knobs on the left hand side.

I actually bought one waaaay back in 2004 but in a similar vein to what happened with my original guitar, never stuck with it due to a lack of good learning resources.

In terms of how well I’m going with things, I’d say I’m far and away best at the drums. Melodics has definitely gamified things and you get “streaks” for practising for just five minutes a day each day, so during my lunch break I’ll go out to the back room where the drum kit is and get my at-least five minutes done. I also discovered this guy Jack Curtis who makes drumless backing tracks, they all come with both regular versions and ones with a click track, and they’re such fun to play along with, so between that and Melodics, all up I’ll probably be playing drums for a good 30-40 minutes every day and I think it definitely shows.

At the start of this year I recorded myself playing along to one of Jack Curtis’ tracks and even between then and now I can see I’ve come quite a lot further again. I need to get around to recording myself playing some more of those, maybe even that same song, but the latest highlight has been playing the drums on this collaboration with some friends. 😁

In terms of guitar, it’s been less good, though I’ve made a few recordings. This one from May of 2022 really clearly shows how not-great I was at keeping in time, I recorded another in December which was a fair bit better, and added bass to it in April of this year. Finally, this from May is better again, playing single notes rather than chords but really only from a single string at a time.

My current goal is to really stick with learning the guitar and get past the basic open chords and be able to properly do justice to the JIVA10 I bought. I started again from the very beginning with Justin Guitar just to be sure I covered everything, and he’s got a separate music theory course that I think I’ll start on as well, and will hopefully report back with good news! 😛

Back to the office for a week

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Back to the office for a week

My workplace has leant heavily into remote-first work since COVID hit and we’ve hired a ton of people outside of the usual places where we have physical offices (Sydney in Australia, Mountain View in the US, etc.), and even for those of us who were regularly in the office pre-COVID, working from home is the norm now. A side-effect of that is that we don’t have nearly as much connection between coworkers especially for people who can’t come into the office even if they wanted to, so as a result we have “Intentional Togetherness” events for teams every six months or a year—I forget the cadence—where we’ll actually fly everyone in the team over from wherever it is they are and hold a whole bunch of in-person workshops and collaboration and just generally hang out.

One of my coworkers does the same job I do but is based over in Austin in Texas and we flew him out as well, plus people from New Zealand, Brisbane, Melbourne, and probably other places I’ve missed. I’d never met the Austin guy in person for obvious reasons, and it was really nice seeing everyone else in person too. He actually arrived on Thursday morning last week and so I went into the office on Thursday and Friday, plus all of this week. There was lots of going out for coffee and figuring out what we’d get for lunch and all the usual things you do when you’re in the office plus just generally chatting. I posted the highlights (which are 95% food-related) here.

My commute is a fifteen minute walk to the train station then an hour on the train (thankfully the office is right next to the station), and pre-COVID when I’d be in the office every single day we’d get up at 7:10am to get the 8:00am train to be in the office a bit past 9am, and wouldn’t get home again until past 7pm. There was no way in hell I was going back to doing that again so instead for this week I’d get up at my usual working-from-home time of 8:15am, start work a bit before 9am, then walk to the station and catch the 9:37am train and work from the train while I was commuting. Bar the post-work events we had, I was also getting the 4:50pm train home and working for the last hour on it to avoid peak hour.

Even with those changes compared to the pre-COVID commute, it’s now Friday evening as I type this, and I am absolutely wiped out. My social battery is not nearly at as high a capacity as it was pre-COVID and looking back at what my commute and hours used to be, I can’t believe I used to do that five days a week. And outside of the social battery aspect, this has felt like the longest seven days I’ve had for a long time (and I had a weekend in between the first two days I was in the office and this week). I know some people hate working from home for all sorts of reasons, but man, personally I would never go back to having to be in an office every day. Going in once in a while to see people or to play things after work, absolutely. But every day? Hard nope.

Conveniently this weekend is a long weekend because Monday is the Labour Day public holiday, so I’ll have an extra day to recharge!

Ten years of house!

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Today marks ten years since we moved into our house!

This is the second-longest I’ve lived in any one place, when I was born we were living in a very small house and just before my 10th birthday we moved to where my parents still are to this day. After that, I moved out of home when I was 24, so only another four years here and it’ll be the longest I’ve lived anywhere!

It’s funny looking at the old photos and comparing them to now (apologies for the dreadful quality, these are upscaled from the really tiny real estate photos).

Before
Today
Before
Today

I blogged about the move a few days after we’d first moved in and how we turned the “office” that was the garage back into an actual garage, and since then we have:

We also want to redo the whole backyard and back room there, but that’s a massive project and is going to be a number of years down the track yet.

Phew!

Replacing the hard disk in a PowerBook G3 “Pismo”, and other fun with Mac OS 9

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Replacing the hard disk in a PowerBook G3 “Pismo”, and other fun with Mac OS 9

I posted nearly five years ago about my shiny new Power Mac G4 and how much I was enjoying the nostalgia. Unfortunately the power supply in it has since started to die, and the machine will randomly turn itself off after an increasingly short period of time. Additionally, I’d forgotten just how noisy those machines were, and how hot they ran! I’ve bought a replacement power supply for it, but it involves rearranging the output pins from a standard ATX PSU to what the G4 needs, and that’s so daunting that I still haven’t tackled it yet. I decided to go back to the trusty old PowerBook G3, as I’ve since gotten a new desk and computer setup that has much more room on it, and having a much more compact machine has been very helpful.

One thing I was a bit concerned about was the longevity of the hard disk in it and I started investing the possibility of putting a small SSD into it. Thankfully such a thing is eminently possible by way of a 128GB mSATA SSD and an mSATA to IDE adapter! I followed the iFixit guide — though steps 6 through to 11 were entirely unnecessary — and now have a shiny new and nearly entirely silent PowerBook G3 (though it’s disconcerting at just how quiet it is given it’s an old machine… I realised I’m so subconsciously used to hearing the clicking of the hard disk).

A photo of a black PowerBook G3 sitting on a desk, booted to the Mac OS 9 desktop. The machine is big and chunky, but also has subtle curves to it, and the trackpad is HILARIOUSLY tiny compared to modern Macs.

I even had the original install discs from the year 2000 when mum first bought this machine, and they worked perfectly (though a few years ago I’d had to replace the original DVD drive with a slot-loading one because the original one died and it stopped reading discs entirely).

One I had it up and running, another sticking point is actually getting files onto it. As I mentioned in my previous post, Macintosh Repository has a whole ton of old software and if you load it up with a web browser from within Mac OS 9 it’ll load without HTTPS, but even so it’s pretty slow. Sometimes it’s nicer just to do all the searching and downloading from a fast modern machine and then transfer the resulting files over.

Mac OS 9 uses AFP for sharing files, and the AFP server that used to be built into Mac OS X was removed a few versions ago. Fortunately there’s an open-source implementation called Netatalk, and some kindly soul packed it all up into a Docker container.

I also stumbled across a project called Webone a while ago, which acts essentially as an SSL-stripping proxy that you run on a modern machine and point your old machine’s web browser to for its proxy setting. Old browsers are utterly unable to do anything with the modern web thanks to newer versions of encryption in HTTPS, but this lets you at least somewhat manage to view websites, even if they often don’t actually render properly.

Both Netatalk and Webone required a bit of configuration, and I rather than setting them up and then forgetting how I did so, I’ve made a GitHub repository called Mac OS 9 Toolbox with docker-compose.yml files and setup for both projects in them, plus a README so future-me knows what I’ve done and why. 😛 In particular getting write permissions to write from the Mac OS 9 machine to the one running Netatalk was tricky.

I also included a couple of other things in there too, and will continue to expand on it as I go. One thing is how to convert the PICT format screenshots from Mac OS 9 into PNG, since basically nothing will read PICTs anymore. It also includes a Mastodon client called Macstodon:

A screenshot of a multi-pane Mac OS 9 application showing the Mastodon Home and Local Timelines and Notifications at the top, and the details of a selected toot at the bottom.

And also the game Escape Velocity: Override (which I’m very excited to note is getting a modern remaster from the main guy who worked on the original):

A screenshot of a top-down 2D space trading/combat game with quite basic graphics. A planet is in the middle of the screen along with several starships of various sizes.

I mentioned both the Marathon and Myth games in my previous post, but those actually run quite happily on modern hardware since Bungie was nice enough to open-source them many years ago. Marathon lives on with Aleph One, and Myth via Project Magma.

Upping my monitoring game with MQTT

virtualwolfRaspberry Pi and microcontrollers2 Comments

Previously on Monitor All The Things:

(The display that used to show the air quality has been changed to show a clock instead, and the air quality monitoring is done via another ESP32 now. I’m also sensing a definite theme with my blog post titles here).

I hadn’t blogged about it, but I also have all of this (indoor and outdoor temperature and humidity, power usage and generation plus battery charge, and outdoor air quality) going into InfluxDB for visualising in Grafana. The dashboard I made looks like this:

Pretty spiffy, eh?

It’d very much evolved rather organically as I went though, so lots of different things on different hosts sending HTTP calls all over the place, including my own slightly dodgy system for getting the ESP32s that are connected to the temperature sensor to save their readings onto the local filesystem if my website couldn’t be contacted (for example if we had an internet outage), as well as two separate things hitting the Powerwall’s local API every five seconds to pull the power data (one for the little HyperPixel display at the front of the house, and one for the visualisation stuff above).

I figured there had to be a cleaner and more elegant way of doing this. At work I deal with Amazon’s Simple Queue Service (SQS) quite a lot and use it in one of the services I built, so I wondered if there was a way to accomplish something similar myself, so I could just have everything drop messages onto a queue and have the things that need to read them pick those messages up from the queue.

Turns out there is, and it’s called MQTT!

It’s an absurdly simple and lightweight protocol, you have a central server called a “broker”, a publisher that sends messages to a given topic on the broker, and as many subscribers as you want that also connect to the broker and each listen on a topic or topics, and the broker ensures those messages get from the publisher to each subscriber. There’s also quality of service settings where you can have it guarantee that the message is received by the subscriber at least once, and it’ll queue up the messages for the subscribers if they drop offline and the messages will all be sent once the subscriber comes back.

Interestingly, you can also have a broker on one machine connect to a broker on another machine, and have it send messages on a particular topic to the remote broker, which seemed like it’d be a good way to get weather updates to my website.

There’s a guy who wrote an MQTT client library in MicroPython for the ESP32, mqtt_as, so that would take care of the ESP32 side of things, I’d use a popular open-source MQTT broker called Mosquitto, and there’s a Javascript MQTT client called MQTT.js that would be used for my website and all the other TypeScript parts of the setup.

I did a bunch of brainstorming in draw.io and came up with this elaborate diagram:

(Mechanise is the hostname of my Linode, which my website runs on, and PVOutput is a website for sending your solar power generation data to, a bunch of people at work also do the same and we’re all in the same “team” so we can see how much combined we’ve all generated together).

After that, it just involved a whole bunch of coding (as well as ordering two spare ESP32s so I could test that my code worked without having to pull apart my existing setup), which I’ve uploaded to GitHub:

Despite having written up a careful plan and done what I thought was getting all my ducks in a row to make a quick switchover this morning, there were a number of things I ran into that caused it to take a few hours to get going (things like forgetting to configure PostgreSQL on the Raspberry Pi 4B to allow things running in Docker to access it, needing to add an extra published port on the Linode so my website could connect to Mosquitto, and most annoyingly of all, a recent VSCode update breaking Pymakr and having to revert to an old version of both pieces of software). I got everything up and running in the end, and now if I add any new monitoring things, it’ll be quite simple to publish the data to Mosquitto and slurp it up into InfluxDB!

More fun with temperature sensors: ESP32 microcontrollers and MicroPython

virtualwolfRaspberry Pi and microcontrollers / WordpressLeave a comment
More fun with temperature sensors: ESP32 microcontrollers and MicroPython

I’ve blagged previously about our temperature/humidity sensor setup and how they’re attached to my Raspberry Pis, and they’ve been absolutely rock-solid in the three-and-a-half years since then. A few months ago, a colleague at work had mentioned doing some stuff with an ESP32 microcontroller and just recently I decided to actually look up what that was and what one can do with it, because it sounded like it might be a fun new project to play with!

From Wikipedia: ESP32 is a series of low-cost, low-power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth.

So it’s essentially a tiny single-purpose computer that you write code for and then flash that code onto the board, rather than like with the Raspberry Pi where it has an entire Linux OS running on it. It runs at a blazing fast 240MHz and has 320KB of RAM. The biggest draw for me was that it has built-in wifi so I could do networked stuff easily. There’s a ton of different boards and options and it was all a bit overwhelming, but I ended getting two of Adafruit’s HUZZAH32s which come with the headers for attaching the temperature sensors we have already soldered on. Additionally, they have 520KB of RAM and 4MB of storage.

Next up, I needed to find out how to actually program the thing. Ordinarily you’d write in C like with an Arduino and I wasn’t too keen on that, but it turns out there’s a distribution of Python called MicroPython that’s written explicitly for embedded microcontrollers like the ESP32. I’ve never really done much with Python before, because the utter tyre fire that is the dependency/environment management always put me off (this xkcd comic is extremely relevant). However, with MicroPython on the ESP32 I wouldn’t be having to deal with any of that, I’d just write the Python and upload it to the board! Additionally, it turns out MicroPython has built-in support for the DHT22 temperature/humidity sensor that I’ve already been using with the Raspberry Pis. Score!

There was a lot of searching over many different websites trying to find how to get all this going, so I’m including it all here in the hopes that maybe it’ll help somebody else in future.

Installing MicroPython

At least on macOS, first you need to install the USB to UART driver or your ESP32 won’t even be recognised. Grab it from Silicon Labs’ website and get it installed.

Once that’s done, follow the Getting Started page on the MicroPython website to flash the ESP32 with MicroPython, substituting /dev/ttyUSB0 in the commands for /dev/tty.SLAB_USBtoUART.

Using MicroPython

With MicroPython, there’s two files that are always executed when the board starts up, boot.py which is run once at boot time and is generally where you’d put your connect-to-the-wifi-network code, and main.py which is run after boot.py and will generally be the entry point to your code. To get these files onto the board, you can use a command-line tool called ampy, but it’s a bit clunky and also not supported anymore.

However, there is a better way!

Setting up the development environment

There are two additional tools that make writing your Python code in Visual Studio Code and uploading to the ESP32 an absolute breeze.

The first one is micropy-cli, which is a command-line tool to generate the skeleton of a VSCode project and set it up for full autocompletion and Intellisense of your MicroPython code. Make sure you add the ESP32 stubs first before creating a new micropy project.

The second is a VSCode extension called Pymakr. It gives you a terminal to connect directly to the board and run commands and read output, and also gives you a one-click button to upload your fresh code, and it’s smart enough not to re-upload files that haven’t changed.

There were a couple of issues I ran into when trying to get Pymakr to recognise the ESP32 though. To fix them, bring up the VSCode command palette with Cmd-Shift-P and find “Pymakr > Global Settings”. Update the address field from the default IP address to /dev/tty.SLAB_USBtoUART, and edit the autoconnect_comport_manufacturers array to add Silicon Labs.

Replacing the Raspberry Pis with ESP32s

After I had all of that set up and working, it was time to start coding! As I mentioned earlier I’ve not really done any Python before, so it was quite the learning experience. It was a good few weeks of coding and learning and iterating, but in the end I fully-replicated my Pi Sensor Reader setup with the ESP32s, and with some additional bits besides.

One of the things my existing Pi Sensor Reader setup did was to have a local webserver running so I could periodically hit the Pi and display the data elsewhere. Under Node.js this is extremely easily accomplished with Express, but using MicroPython the options were more limited. There are a number of little web frameworks that people have written for it, but they all seemed quite overkill.

I decided to just use raw sockets to write my own, though one thing I didn’t appreciate until this point was how Node.js’s everything-is-asynchronous-and-non-blocking makes doing this kind of thing very easy, you don’t have to worry about a long-running function causing everything else to grind to a halt while it waits for that function to finish. Python has a thing called asyncio but I was struggling to get my head around how to use it for the webserver part of things until I stumbled across this extremely helpful repository where someone had shown an example of how to do exactly that! (I even ended up making a pull request to fix an issue I discovered with it, which I’m pretty stoked with).

One of the things I most wanted to do was to have some sort of log file accessible in case of errors. With the Raspberry Pi I can just SSH in and check the Docker logs, but once the ESP32s were plugged into power and running, you can’t easily do a similar thing. I ended up writing the webserver with several endpoints to read the log, clear it, reset the board, and view and clear the queue of failed updates.

The whole thing has been uploaded to GitHub with a proper README of how it works, and they’ve been running connected to the actual indoor and outdoor temperature sensors and posting data to my website for just under a week now, and it’s been absolutely flawless!

(Update October 2021: The dodgy HTTP setup described in this post has been replaced by a much more elegant MQTT one, and all my development efforts have been put towards the MQTT version of my sensor reader code.)

More Raspberry Pi-powered monitoring: air quality!

virtualwolfRaspberry Pi and microcontrollers1 Comment

Here in New South Wales, last year’s bushfires over late spring and into summer were astoundingly bad, and there were days where Sydney had the poorest air quality on the entire planet. Everyone was watching the PM2.5 values, and there were days where Kristina couldn’t go outside because of her asthma. I figured it’d be neat to set up a Raspberry Pi-powered air quality sensor and had ordered the sensor back in February but didn’t get around to putting it into service until now.

This is the bit that lives inside so we can easily see the latest reading:

A small 4" LCD display showing the air quality values for PM1.0, PM2.5, and PM10.

It uses the same sort of setup as my Pimoroni display, and I updated my pi-home-dashboard to add a second page to display the values from the air quality reader.

The sensor itself is a Plantower PMS5003 sensor and is attached to the same Raspberry Pi that the outdoor temperature sensor is on. Adafruit’s instructions on getting it set up were pretty straightforward, and they also give some sample code for how to read it, but it’s in Python which I intensely dislike (I don’t really even have any strong feelings about the language itself one way or the other, but I’ve never had a good experience with the damn package management around it, so I do my damnedest to avoid it). I was able to write the same logic in TypeScript instead — though had to consult the clever people on Ars Technica because parsing the output from the sensor involves things like bit-shifting which is quite low-level and something I’m utterly unfamiliar with — and chucked the whole thing up on GitHub. It takes ten readings and averages them, and has an HTTP endpoint for pulling the latest values.

I’ve set the front-end up so the colour of the numbers will change to orange and red depending on how bad the air quality is, but hopefully it’s a long while before we actually see that in action!