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Earlier this week, I was having a lot of trouble understanding how to get Dev Containers working. Dev Containers are the required way to enable Github Codespaces, which was my actual goal. I finally got to something that works, so I want to document what I learned. Dev Containers is a standard developed my Microsoft for using docker containers to run dev environments for a project. I use Docker for most of my projects these days. I think it’s a great tool both for simplifying local development and for packaging and deploying my projects. In the current project, I already have a Dockerfile and a docker-compose.yml file. I deploy to fly.io which will also run my docker build to deploy the project. This works fine for me, and I had never used Dev Containers. It seemed overly complicated (and I was right about that). I want to give more of the context about why I’ve been pursuing github codespaces, because I think it’s relevant. But if you wanna skip to the tips for getting Dev Containers and Codespaces working, feel free. (I’m also going to talk positively about using LLMs to code, so if that makes you want to skip too, there’s no hard feelings). Background Here’s the idea. I have a solo project that I’m working on, and instead of hacking away on the main branch, I’m using a full feature branch and pull request workflow to keep my changes organized. This might seem like overkill, but it’s helpful for me because I tend to bounce around and leave things half done. I can run things locally and test different things by switching between branches. But I’m also doing a lot more AI-assisted development. Locally I use Claude Code. But I’ve been experimenting with allowing Github Copilot to create PRs. I create a github issue, assign it to copilot, and it spins up in the cloud and does work. Afterwards it opens a pull request for me to review. So even though this is a “solo” project, I end up with pull requests that I didn’t write myself and I need to validate. Giving...
23rd Oct 2025

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More from These Yaks Ain't Gonna Shave Themselves

Getting A Local Mastodon Setup In Docker

This is the first in probably a series of posts as I dig into the technical aspects of mastodon. My goal is to get a better understanding of the design of ActivityPub and how mastodon itself is designed to use ActivityPub. Eventually I want to learn enough to maybe do some hacking and create some of the experiences I want that mastodon doesn’t support today. The first milestone is just getting a mastodon instance set up on my laptop. I’m gonna give some background and context. If you want to skip straight to the meat of things, here’s an anchor link. Some background Mastodon is a complex application with lots of moving parts. For now, all I want is to get something running so I can poke at it. Docker should be a great tool for this. Because a lot of that complexity can be packaged up in pre-built images. I tried several times using using the official docs and various other alternative projects to get a working mastodon instance in docker. But I kept running into problems that were hard to understand and harder to resolve. I have a lot to learn about all the various pieces of mastodon and how they fit together. But I understand docker pretty well. So after some experimenting, I was able to get an instance running on my own. The rest of this post will be dedicated to explaining what I did and what I learned along the way. One final note. I know many folks work hard to write docs and provide an out of the box dev experience that works. This isn’t meant to dismiss that hard work. It just didn’t work for me. I’m certainly going to share this experience with the mastodon team. Hopefully these lessons can make the experience better for others in the future. The approach Here’s the outline of what we’re doing. We’re going to use a modified version of the docker-compose.yml that comes in the official mastodon repo. It doesn’t work out of the box. So I had to make some heavy tweaks. As of this writing, the mastodon docs seem to want people to use an alternate setup based on Dev Containers. I found that very confusing, and it didn’t work for me at all. Once we have all of the docker images we need, all of the headaches are in configuring them to work together. Most of mastodon is a ruby on rails app with a database. But there is also a node app to handle streaming updates, redis for caching and background jobs, and we need to handle file storage. We will do the minimum configuration to get all of that set up and able to talk to each other. There is also support for sending emails and optional search capabilities. These are not required just to get something working, so we’ll ignore them for now. It’s also worth noting that if we want to develop code in mastodon, we need to put our rails app in development mode. That introduces another layer of headaches and errors that I haven’t figured out yet. So that will be a later milestone. For now, all of this will be in “production” mode by default. That’s how the docker image comes packaged. Keep it simple. There are still many assumptions here. I am running on Mac OS with Apple Silicon (M3). If you’re trying this out, you may run into different issues depending your environment. Pre-requisites We need docker. And a relatively new version. The first thing I did was ditch the version: 3 specifier in the docker-compose.yml. Using versions in these files is deprecated, and we can use some newer features of docker compose. I have v4.30.0 of Docker Desktop for Mac. We also need caddy. Mastodon instances require a domain in most cases. This is mostly about identity and security. It would be bad if an actor on mastodon could change their identity very easily just by pretending to be a different domain or account. There are ways around this, but I couldn’t get any of them to work for me. That complicates our setup. Because we can’t just use localhost in the browser. We need a domain, which means we also need HTTPS support. Modern browsers require it by default unless you jump through a bunch of hoops. Caddy gives us all of that out of the box really easily. It will be the only thing running outside of docker. There’s only one caveat with caddy. The way that it is able to do ssl termination so easily is that it creates its own certificates on the fly. The way it does this is by installing it’s own root cert on your machine. You’ll have to give it permission by putting in your laptop password the first time you run caddy. If that makes you nervous, feel free to skip this and use whatever solution you’re comfortable with for SSL termination. But as far as I know, you need this part. Choose a domain for your local instance. For me it was polotek-social.local. Something that mkes it obvious that this is not a real online instance. Add an entry to your /etc/hosts and point this to localhost. Or whatever people have to do on Windows these days. Let’s run a mastodon I put all of my changes in my fork of the official mastodon repo. You can clone this branch and follow along. All of the commands assume you are in the root directory of the cloned repo. https://github.com/polotek/mastodon/tree/polotek-docker-build > git clone [email protected]:polotek/mastodon.git > cd mastodon > git co -b polotek-docker-build I rewrote the docker section of the README.md to outline the new instructions. I’m going to walk through my explanation of the changes. Pull docker images This is the easiest part. All of the docker images are prepackaged. Even the rails app. You can use the docker compose command to pull them all. It’ll take a minute or 2. > docker compose pull Setup config files We’re using a couple of config files. The repo comes with .env.production.sample. This is a nice way to outline the minimum configuration that is required. You can copy that to .env.production and everything is already set up to look for that file. The only thing you have to do here is update the LOCAL_DOMAIN field. This should be the same as the domain you chose and put in your /etc/hosts. You can put all of your configuration in this file. But I found it more convenient to separate out the various secrets. These often need to be changed or regenerated. I wrote a script to make that repeatable. Any secrets go in .env.secrets. We’ll come back to how you get those values in a bit. I had to make some other fixes here. Because we’re using docker, we need to update how the rails app finds the other dependencies. The default values seem to assume that redis and postgres are reachable locally on the same machine. I had to change those values to match the docker setup. The REDIS_HOST is redis, and the DB_HOST is db. Because that’s what they are named in the docker-compose file. Diff of config file on github The rest of the changes are just disabling non-essential services like elastic search and s3 storage. Generate secrets We need just a handful of config fields that are randomly generated and considered sensitive. Rails makes it easy to generate secrets. But run the required commands through docker and getting them in the right place is left as an exercise for the reader. I added a small script that runs these commands and outputs the right fields. Rather than try to edit the .env.production file in the right places everytime secrets get regenerated, I think it’s much easier to have them in a separate file. Fortunately, docker-compose allows us to specify multiple files to fill out the environment variables. Diff of config file on github This was a nice quality of life change. And now regenerated secrets and making them available is just one command. > bin/gen_secrets > .env.secrets Any additional secrets can be added by just updating this script. For example, I use 1password to store lots of things, even for development. And I can pull things out using their cli named op. Here’s how I configured the email secrets with the credentials from my mailgun account. # Email echo SMTP_LOGIN=$(op read "op://Dev/Mailgun SMTP/username") echo SMTP_PASSWORD=$(op read "op://Dev/Mailgun SMTP/password") Run the database Running the database is easy. > docker compose up db -d You’ll need to have your database running while you run these next steps. The -d flag will run it in the background so you can get your terminal back. I often prefer to skip the -d and run multiple terminal windows. That way I can know at a glance if something is running or not. But do whatever feels good. The only note here is to explain another small change to docker-compose to get this running. We’re using a docker image that comes ready to run postgres. This is great because it removes a lot of the fuss of running a database. The image also provides some convenient ways to configure the name of the database and the primary user account. This becomes important because maston preconfigures these values for rails. We can see this in the default .env.production values. DB_USER=mastodon DB_NAME=mastodon_production The database name is not a big issue. Rails will create a database with that name if it doesn’t exist. But it will not create the user (maybe there’s a non-standard flag you can set?). We have to make sure postgres already recognizes a user with the name mastodon. That’s easy enough to do by passing these as environment variables to the database container only. Diff of config file on github Load the database schema One thing that’s always a pain when running rails in docker. Rails won’t start successfully until you load the schema into the database and seed it with the minimal data. This is easy to do if you can run the rake tasks locally. You can’t run the rake tasks until you have a properly configured rails. And it’s hard to figure out if your rails is configured properly because it won’t run without the database. I don’t know what this is supposed to look like to a seasoned rails expert. But for me it’s always a matter of getting the db:setup rake task to run successfully at least once. After that, everything else starts making sense. However, how do you get this to work in our docker setup? We can’t just do docker compose up, because the rails container will fail. We can’t use docker compose exec because that expects to attach to an existing instance. So the best thing to do is run a one-off container that only runs the rake task. The way to achieve that with docker compose is docker compose run --rm. The rm flags just makes sure the container gets trashed afterwards. Because we’re running our own command instead of the default one, we don’t want it hanging around and potentially muddying the waters. Once we know the magic incantation, we can setup the database. > docker compose run --rm web bundle exec rails db:setup Note: Usually you don’t put quotes around the whole command. For some reason, this can cause problems in certain cases. You can put quotes around any individual arguments if you need to. Run rails and sidekiq If you’ve gotten through all of the steps above, you’re ready to run the whole shebang. > docker compose up This will start all of the other necessary containers, including rails and sidekiq. Everything should be able to recognize and connect to postgres and redis. We’re in the home stretch. But if you try to reach rails directly in your browser by going to https://localhost:3000, you’ll get this cryptic error. ERROR -- : [ActionDispatch::HostAuthorization::DefaultResponseApp] Blocked hosts: localhost:3000 It took me a while to track this down. It’s a nice security feature built into rails. When running in production, you need to configure a whitelist of domains that rails will run under. If it receives request headers that don’t match those domains, it produces this error. This prevents certain attacks like dns rebinding. (Which I also learned about at the same time) If you set RAILS_ENV=development, then localhost is added to the whitelist by default. That’s convenient, and what we would expect from dev mode. But remember we’re not running in development mode quite yet. So this is a problem for us. The nice thing is that mastodon has added a domain to the whitelist already. Whatever value you put in the LOCAL_DOMAIN field is recognized by rails. (In fact, if you just set this to localhost you might be good to go. Shoutout to Ben.) However, when you use an actual domain, then most modern web browsers force you to use HTTPS. This is another generally nice security feature that is getting in our way right now. So we need a way to use our LOCAL_DOMAIN, terminate SSL, and then proxy the request to the rails server running inside docker. That brings us to the last piece of the puzzle. Running caddy outside of docker. Run a reverse proxy The configuration for caddy is very basic. We put in our domain, we put in two reverse proxy entries. One for rails and one for the streaming server provided by node.js. Assuming you don’t need anything fancy, caddy provides SSL termination out of the box with no additional configuration. # Caddyfile polotek-social.local reverse_proxy :3000 reverse_proxy /api/v1/streaming/* :4000 We put this in a file named Caddyfile in the root of our mastodon project, then in a new terminal window, start caddy. > caddy run Success? If everything has gone as planned, you should be able to put your local mastodon domain in your browser and see the frontpage of mastodon! Mastodon frontpage running under local domain! In the future, I’ll be looking at how to get actual accounts set up and how to see what we can see under the hood of mastodon. I’m sure I’ll work to make all of this more developement friendly to work with. But I learned a lot about mastodon just by getting this to run. I hope some of these changes can be contributed back to the main project in the future. Or at least serve as lessons that can be incorporated. I’d like to see it be easier for more people to get mastodon set up and start poking around.

2nd Jun 2024 14 votes
How to Build Fly Locally With Docker for Mac

In my recent side projet, I’ve been deploying to fly.io and really enjoying it. It’s fairly easy to get setup. And it supports my preferred workflow of deploying my changes early and often. I have run into a few snags though. Fly.io builds your project into a docker image and deploys containers for you. That process is mostly seamless when it works. But sometimes it fails, and you need to debug. By default, fly builds your docker images in the cloud. This is convient and preferred most of the time. But when I wanted to test some changes to my build, I wanted to try building locally using Docker Desktop. This should be easy. The fly cli is quite nice. And there is a flag to build locally. fly deploy --build-only --local-only This failed saying it couldn’t find Docker. > fly deploy --build-only --local-only ==> Verifying app config Validating /Users/polotek/src/harembase/fly.toml Platform: machines ✓ Configuration is valid --> Verified app config ==> Building image Error: failed to fetch an image or build from source: docker is unavailable to build the deployment image I spent quite a bit of time googling for the problem here. You can also run fly doctor --verbose to get some info. (If you run this in your fly app folder, it will show more info not relevant to this topic.) > fly doctor --verbose Testing authentication token... PASSED Testing flyctl agent... PASSED Testing local Docker instance... Nope (We got: failed pinging docker instance: Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?) This is fine, we'll use a remote builder. Pinging WireGuard gateway (give us a sec)... PASSED No app provided; skipping app specific checks I found various forum posts discussing this problem. The folks at fly have spent a lot of time investigating some deep technical issues. I appreciate that work, but ultimately none of it seems to reflect my problem. And the issue felt simpler to me. Fly couldn’t find docker. Why not? Where is it looking? Eventually I found the answer on stackoverflow. It turns out that things have settled pretty recently to a basic config setting. By default, Docker Desktop installs the socket for the daemon in a non-global space. Usually in your personal user folder, e.g. ~/.docker/run/docker.sock. But other tools expect the docker daemon socket to be available in a standard location, e.g. /var/run/docker.sock As of this writing, Docker Deskstop has added a recommended way to enable the standard location. In the Docker Desktop dashboard, got to Settings > Advanced and enable “Allow the default Docker socket to be used”. Docker for Mac settings screen This will require your system password and restart. Then you should be able to see the docker socket in the standard place. And fly will be able to see it! Hopefully the next person who’s banging their head against this will have an easier time.

2nd Oct 2023 18 votes
How to Actually Integrate Angular and Nestjs

I don’t know who needs to hear this. But your frontend and backend systems don’t need to be completely separate. I started anew side project recently. You know, one of things that allows me to tinker with new technology but will probably never be finished. I’m using Angular for the frontend and Nestjs for the backend. All good. But then I go to do something that I thought was very normal and common and run into a wall. I want to integrate the two frameworks. I want to serve my initial html with nestjs and add script tags so that Angular takes over the frontend. This will allow me to do dynamic things on the backend and frontend however I want. But also deploy the system all as one cohesive product. Apparently this is no longer How Things Are Done. I literally could not find documentation on how to do this. When you read the docs and blog posts, everybody expects you to just have two systems that run entirely independently. Here’s the server for your backend and here’s the entirely different server for your frontend. Hashtag winning! When I google for “integrate angular and nestjs”, nobody knows what I’m talking about. On the surface, this seems like is a great technical blog post from LogRocket. It says “I will teach you how. First, set up two separate servers…” I think I know why the community has ended up in this place. But that’s a rant for another blog post. Let me try to explain what I’m talking about. Angular is designed as an a frontend framework (let’s set aside SSR for now). The primary output of an Angular build is javascript and css files that are meant to run in the browser. When you run ng build, you’ll get a set of files put into your output folder. Usually the folder is dist/<your_project_name>. Let’s look at what’s in there. polotek $> ls -la dist/my-angular-project -rw-r--r-- 1 polotek staff 12K Sep 13 14:15 3rdpartylicenses.txt -rw-r--r-- 1 polotek staff 948B Sep 13 14:15 favicon.ico -rw-r--r-- 1 polotek staff 573B Sep 13 14:15 index.html -rw-r--r-- 1 polotek staff 181K Sep 13 14:15 main.c01cba7b28b56cb8.js -rw-r--r-- 1 polotek staff 33K Sep 13 14:15 polyfills.2f491a303e062d57.js -rw-r--r-- 1 polotek staff 902B Sep 13 14:15 runtime.0b9744f158e85515.js -rw-r--r-- 1 polotek staff 0B Sep 13 14:15 styles.ef46db3751d8e999.css Some javascript and css files. Just as expected. A favicon. Sure, why not. Something about 3rd party licenses. I have no idea what that is, so let’s ignore it. But there’s also an index.html file. This is where the magic is. This file sets up your html so it can serve Angular files. It’s very simple and looks like this. <!doctype html> <html lang="en" data-critters-container> <head> <meta charset="utf-8"> <title>MyAngularProject</title> <base href="/"> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="icon" type="image/x-icon" href="favicon.ico"> <link rel="stylesheet" href="styles.ef46db3751d8e999.css"> </head> <body> <app-root></app-root> <script src="runtime.b3cecf81bdcc5839.js" type="module"></script> <script src="polyfills.41808b7aa9da5ebc.js" type="module"></script> <script src="main.cf1267740c62d53b.js" type="module"></script> </body> </html> It turns out the web browser still works the way it always did. You use <script> tags and <link> tags to load your javascript and css into the page. But we want to let the backend do this rather than using this static html file. I’m using NestJS for the backend. It’s modeled after Angular, so a lot of the structures are very similar. Just without all of the browser-specific stuff. Nest is not so important here though. This problem is the same with whatever backend you’re using. The important thing is how static files are served. If you copy the above html into a backend template, it probably won’t work. This is what you get in the browser when you try this with NestJS. Angular fails to load. This is part of my gripe. By default, these are two separate systems right now. So NestJS doesn’t know that these files exist. And they’re in two separate folders. So it’s unclear what the best way is to integrate them. In the future, I might talk about more sustainable ways to do this for a real project. But for now, I’m going to do the simple thing just to illustrate how this is supposed to work. In NestJS, or whatever backend you’re using, you should be able to configure where your static files go. In Nest, it looks something like this. async function bootstrap() { const app = await NestFactory.create<NestExpressApplication>(AppModule); app.useStaticAssets(path.resolve("./public")); await app.listen(3000); } bootstrap(); So there should be a folder called public in your backend project, and that’s where it expect to find javascript and css files. So here’s the magic. Copy the Angular files into that folder. Let’s say you have the two projects side by side. It might look like this. polotek $> cp my-angular-project/dist/my-angular-project-ui/* my-nest-project/public/ This will also copy the original index.html file and the other junk. We don’t care about that for now. This is just for illustration. So now we’ve made NestJS aware of our Angular files. Reload your NestJS page and you should see this. Assets loading properly. Angular Welcome screen loading. We did it! This is how to integrate a cohesive system with frontend and backend. The frontend ecosystem has wandered away from this path. But this is how the web is supposed to work in my opinion. And more importantly, it is actually how a lot of real products companies want to manage their system. I want to acknowledge that there are still a lot of unanswered questions here. You can’t deploy this to production. The purpose of this blog post is to help the next person like me who was trying to google how to actually integrate Angular and a backend like NestJS because I assumed there was a common and documented path to doing so. If this was useful for you, and you’re interested in having me write about the rest of what we’re missing in modern frontend, let me know.

15th Sep 2023 13 votes

More in programming

fibre broadband anticlimax

How can something that “just works” be so annoying? situation We live in Cambridge off a little road down a drive in shared ownership between us and our neighbouring houses. All the utilities are buried under this drive, including the phone line. anticipation Over the last few years we have been canvassed repeatedly by CityFibre saying that they can deliver fibre all way to our house. I saw them digging trenches and leaving tails of purple fibre cladding along nearby roads, ready to hook up all the houses. I thought they would need to do something similar to deliver fibre to us. So when they turned up and knocked on our door, I talked to their salesbods and walked them up and down the drive and pointed out where the existing BT line goes. Then they gave up trying to sell to us. This happened about three times. disaffection We were not eager enough for an upgrade to deal with these impediments. notification A few months ago we were told that CityFibre would soon come and do the upgrade, since there’s a nationwide deadline for turning off the copper phone network at the end of the year. We expected that this would force them to actually plan some digging works, so we talked to our neighbours about it. We were all ready for some huge faff to follow the next visit by the CityFibre bods. installation CityFibre turned up on the promised morning bright and early. To our enormous surprise, a brown fibre housing was already poking out of the ground next to our copper phone line. It had been fed through 50 metres of 5cm duct without us being aware they were even working on the street. Within a couple of hours, the technicians had drilled through our wall, installed the ONT, blown fibre through the unexpected pipe, plugged in the CPE (superficially identical to the old one), and left telling us to anticipate that it might not work properly until tomorrow. activation Around lunch time, the copper phone line stopped working completely. Some faff ensued, switching all our devices over to the new WiFi network. For a while we thought this was the death of our land line, but in the course of debugging other issues, I realised that the router has a built-in VoIP adapter (I don’t think we were told it has a built-in VoIP adapter) so I plugged the phone in and it Just Worked: they had ported our phone number across and everything. Flawless. I was seriously impressed. rumination It has been a few weeks since the switchover, and apart from a couple of horrible Clown-afflicted IoT devices, it has been fairly smooth. What prompted me to write this up was realising that we delayed this upgrade for years because the sales people were not given enough technical information about how the installation process works: the fact that houses typically have a 5cm duct containing the copper lines (probably standard for the last 40 years) and the fact that fibre can be shoved through a few tens of metres without difficulty. And worse, the sales people didn’t have an esclation path for difficult cases: they just gave up instead. From a technical point of view, the installation was impeccable. (I guess the loose 24 hour window for the cutover time was because OpenReach and CityFibre don’t have tight requirements on ISP reconfiguration schedules.) From the sales point of view, it was crap. Maybe it would have gone faster if we offered to switch early without asking if the drive would be a problem? But I guess the difference between “yes!” and “yes, but will this be a problem?” is too much to expect from a minimum-wage door-to-door salesbod whose employer didn’t give them enough information or any escalation path.

14 hours ago 1 votes
Abusing ID3 chapters to turn videos into glanceable podcasts

I listen to a lot of podcasts, and I like how they fit around other tasks. I press play, lock my phone, and put it down. I’m free to wash the dishes, fold the laundry, or shop for groceries. Unfortunately, more and more information is only published as a video. Technical talks, conference sessions, video essays – they don’t work in an audio-only podcast app. I could convert these videos to MP3 files, but that breaks down the moment a video isn’t pure spoken word. If a speaker says, “Look at this slide” or holds up a diagram, an audio-only file leaves me stranded. I don’t want to give up the podcast player I like, nor stare at a screen for an hour – but I do want the information in these videos. To solve this, I’m abusing my podcast player’s chapter support. This gives me the best of both worlds: I can listen to a video as audio-first, and glance at my lock screen if I need a moment of visual context. The idea: Chapters every few seconds MP3 files can have ID3 metadata, and ID3 metadata can include chapters. A chapter covers a particular time range, and it can have an associated title, description, and cover art. My podcast app of choice is Overcast, which can’t play videos, but it does have robust chapter support. I can jump between chapters, navigate a table of contents, and see per-chapter cover art. To get videos into Overcast, I’m creating MP3 files with a new chapter every few seconds, and the per-chapter cover art is a corresponding frame from the video. As I play the file, I get a slow, stop-motion-like rendition of the original video. If my phone is locked, I can glance at my lock screen and see the current frame in the Now Playing screen. Overcast is developed by Marco Arment, and I got this idea from Forecast, his app for adding chapters to podcasts. In particular, I was struck by its ability to create chapters that don’t display in the chapter list – ideal if I don’t want a table of contents with hundreds of entries. As I was developing my script, I compared my output to the output from Forecast to ensure I was creating the chapters correctly. The code: FFmpeg and Mutagen There are three steps in this process: Convert a video file to an MP3 Extract images from the video at a fixed interval Insert the images as hidden chapters in the MP3 file Let’s go through each in turn. 1. Convert a video file to an MP3 Converting a video file to an MP3 is a single FFmpeg command: ffmpeg -i video.mp4 audio.mp3 This is consistently the slowest step of the process, and I do wonder if I could use different settings or an alternative encoder to make it go faster – but it’s not slow enough to be worth further investigation. 2. Extract images from the video at a fixed interval Extracting images from a video needs a more complicated FFmpeg command: ffmpeg -i video.mp4 \ -vf 'fps=1/5,scale=iw*sar:ih,scale=min(iw\,945):min(ih\,945):force_original_aspect_ratio=decrease' \ thumbnail_%04d.jpg This extracts an image every 5 seconds, downscales any image larger than 945 pixels square (while preserving the original aspect ratio), and saves the results as sequentially numbered JPEG images (thumbnail_0001.png, thumbnail_0002.png, and so on). The key is the -vf flag, which defines two FFmpeg filters: The fps filter selects one frame every 5 seconds (fps=1/5). The first scale filter scales the width based on the sample aspect ratio (scale=iw*sar:ih). Without this filter, frames can be stretched and distorted. The second scale filter scales the input video, preserving the original aspect ratio (force_original_aspect_ratio=decrease), and ensuring the output images fit within 945×945px or the size of the input video, whichever is smaller. My limit is 945 pixels because that’s the largest size that cover art is shown on my iPhone. This filter still isn’t completely correct – it sometimes creates images from portrait videos that are smaller than I’m expecting – but it’s good enough. These are only thumbnails for glancing at, and if I want to change it later, I can always do the image resizing outside FFmpeg. 3. Insert the images as hidden chapters in the MP3 file Inserting the chapters into the MP3 file is more complicated. Although FFmpeg has basic support for ID3 metadata, as far as I know, it can’t insert chapters with per-chapter artwork. Instead, I’m going to reach for Python and the Mutagen library. Here’s the code to add a chapter to an MP3 file: from mutagen.id3 import APIC, CHAP, ID3, PictureType audio = ID3("audio.mp3") with open("thumbnail_0001.jpg", "rb") as f: img_data = f.read() image_frame = APIC(mime="image/jpeg", type=PictureType.OTHER, data=img_data) chapter_frame = CHAP( element_id="chp1", start_time=0, end_time=5 * 1000, sub_frames=[image_frame] ) audio.add(chapter_frame) audio.save() This creates a single chapter that lasts the first 5 seconds (0 to 5000 milliseconds), and the per-chapter cover art is thumbnail_0001.jpg. If we ran this in a loop, we could add images for every 5 second slice of the original video. This code is inserting two frames into the ID3 metadata: The CHAP (chapter) frame contains the timing information, and it can have subframes for metadata like title, chapter art, or associated URL. The APIC (attached picture) subframe contains information about a picture, which can either be a blob of image data or a URL to an image on the web. Normally, you’d also insert a CTOC frame which defines a table of contents, but I don’t want a TOC with hundreds of 5-second chapters, so I’m deliberately not doing this here. This is allowed by the ID3 spec – you’re not required to insert a CTOC frame if you’re using chapters, and you can have chapters that aren’t listed in your table of contents. To work out which frames I needed, I used Forecast to create some chapters by hand, and I inspected their frames. In particular, loading an MP3 and calling Mutagen’s pprint() method shows a human-readable list of frames, and then I could drill into the individual fields: from mutagen.id3 import ID3 audio = ID3("audio.mp3") print(audio.pprint()) I wrapped all this code in a project called glancecast, which allows you to convert a video file with a single command, with optional flags to set the frame length and chapter art size: $ python3 glancecast.py interesting_talk.mp4 interesting_talk.mp3 The process takes a minute or so to complete, most of which is spent transcoding the video file to MP3. The resulting MP3s are usually 40 to 50 MB in size, which is very reasonable. The outcome: How it looks in practice Here’s what one of these “glanceable” podcasts looks like in Overcast and on my lock screen: Maggie Appleton presented this talk over two years ago and it’s been on my “talks to watch” list ever since. Once I put it in Overcast? I listened to it in less than a day. It’s not a lot of extra information, but enough that I can quickly glance down and get the gist of what a speaker is saying. Both views update with a new frame every few seconds, or I can put my phone in my pocket and ignore the screen. I’ve used this approach for half a dozen videos so far, and I’m happy with the results. I expect to keep using it, because I have a long queue of videos I’ve been meaning to watch. If you’d like to try this, check out glancecast for the full code and instructions. [If the formatting of this post looks odd in your feed reader, visit the original article]

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