im-course-tools

The im command for the Instructing Machines course: a small, pure-Python CLI that students run from their course folder.

im check                 # is my environment working?
im doctor                # why is it not working?
im get iteration         # download a chapter notebook
im get alignmentproject  # download a whole project
im get                   # everything on offer
im update                # refresh the course folder from the website

Why it is a package

The course folder students download holds their own work and nothing else. The four commands used to be four Python files copied into that folder, which put code students had no reason to read next to the notebooks they did, and left no way to fix a bug for a hundred people already holding a copy. Here they travel with the environment instead: a fix reaches everyone through a release.

What the commands guarantee

Nothing ever overwrites a student's work.

• A notebook that already exists is left exactly as it is, and the fresh copy lands beside it as iteration-2.ipynb.
• A project that already exists stops the command. A project is a folder worked in for a week, and unpacking over it would put the empty starting file back on top of real code.
• A project zip is checked before it is unpacked: every entry must live inside the project's own folder, so an archive naming ../../somewhere writes nothing.
• im update replaces only the six files in the course folder that belong to the course rather than to the student, and only the ones that actually differ from what the website is publishing, keeping a .backup of each one it does replace.

Files land in the course folder, found by walking up from wherever the student happens to be, so im get works two subfolders deep.

Keeping the course folder current

The folder a student downloads in week one is not only their work. It is also the environment pixi builds, the tasks pixi run offers, the script that tells VS Code where pixi lives, and VS Code's own settings — none of which they have any reason to maintain, and every one of which is somewhere a fix eventually has to reach. Until im update covered them, the only way to deliver one was to ask a hundred people to download the folder again and move their work across by hand, which is a thing you can ask once a term at most.

So im update fetches the course folder the website publishes — the same zip a student starting today would download — and brings these up to date:

Nothing else in that download is touched: the week-one notebooks and the data folder arrive in it too, and both are places a student works.

Out of date means different from what is published, compared by content rather than by any timestamp — a clock, a fresh unzip and an editor that rewrites line endings are each enough to make a date lie, and a file that already matches is left alone entirely rather than replaced by an identical copy of itself. What is replaced is kept as <name>.backup first, so a student who had edited one has it back.

pixi install runs afterwards either way, including when nothing needed changing: im update is where a student is sent when the environment is broken, and skipping the install because the files were already right would turn them away in exactly the case the command exists for.

When something is wrong

im check answers one question: are the packages there. im doctor answers the question a student actually has, which is why they are not, and it is the one command that runs anywhere rather than only in the course folder — because being in the wrong folder is one of the things it is there to notice.

It reads the machine and changes nothing on it, so it is always safe to tell a hundred people to run it. The one thing it downloads goes into a temporary cache that is thrown away again. It looks at, in this order:

• This machine — which OS and Python, and on a Mac whether the terminal is the Intel one being emulated, which quietly gets the wrong build of everything.
• The course folder — whether there is one, and where it probably is if not, including the case where it is the folder immediately inside this one, which is what Windows' "Extract all" leaves behind when its offered destination is accepted: the zip is unpacked into a new folder named after itself and already holds one of that name, so everything lands a level deeper than it looks and every command is then run in the empty half of the pair; whether it is inside OneDrive or iCloud, which will fight pixi over tens of thousands of small files; letters in the path that the tools underneath pixi mishandle; the Windows 260-character path limit; a network or removable drive; whether anything can be written there at all; and whether there is room.
• pixi — installed, and whether this terminal can see it, which is a different question and a much shorter fix.
• Your terminal — which shell is actually running it, asked of the process rather than read off $SHELL, because those two disagree often enough to matter. pixi's installer writes its PATH line into the startup file of the shell it was run from, and a student working in the other one can open new terminals all afternoon without ever seeing pixi, so "open a new terminal" is advice that has to be checked before it is given. Then whether that shell's own startup file is what puts pixi on PATH or whether it merely happens to be there this once, and on Windows whether PowerShell is allowed to run a script at all — it ships refusing to, and says so in a sentence that mentions neither pixi nor the course, while pixi shell and VS Code's own terminal activation are both scripts. That last one is asked of this window and of the next one separately: a window started with -ExecutionPolicy Bypass runs everything until it is closed, so reading only what is in force here would call a machine fixed on the strength of a setting that dies with the terminal.
• The environment — built or not, its lock file current, whether it was built for the folder it is now sitting in, because a pixi environment holds that folder's path in hundreds of places and a moved or renamed course folder breaks every one of them — read from pixi's own stamp, and failing that from the kernel every notebook starts and the scripts pixi wrote, so that an environment carrying no stamp is not quietly given the benefit of the doubt; every course package importable in that environment rather than in whichever Python is running im; whether the im being run is the one inside it; and whether it is the environment this terminal is in at all, since one that is installed but not activated leaves python and pytest meaning whichever ones the machine came with — as does an Anaconda base that activates itself in every new terminal.
• Security software — on Windows by asking Windows' own Security Center, on macOS by looking where the dozen products a university laptop carries install themselves. Installed is not the same as at fault: nearly every laptop in the room carries something and nearly none of it is why an install failed, so what is there stays a line in the scan until the internet checks turn up evidence — a certificate pixi refuses, a download of pixi's own that never arrives — and only then does it become something to go and do.
• Internet access — a TLS connection to every host pixi downloads from, and then the part that matters: who signed each certificate. Antivirus that inspects encrypted traffic substitutes its own, which pixi refuses and a browser accepts, and that gap is the single most common reason an install fails on a laptop that browses the web perfectly well. Then the same question in pixi's own words: pixi is made to fetch one small file itself. Those connections above are opened by Python, which trusts a different list on every operating system — a conda environment that has been moved loses its list entirely and then makes every host on the internet look tampered with — and pixi getting through is what tells that apart from a machine where something really is in the way. Also proxy and certificate variables set in the terminal, and a clock wrong enough to make valid certificates look expired.
• VS Code — installed, with the Python and Jupyter extensions.

What reaches the screen is only what can be acted on: for each thing that is wrong, the one line naming it and the commands to paste, failures before warnings, with a blank line around each. Nothing else — not the reasoning, not what it was read off, not the forty things that were fine. A student running im doctor is stuck, and every line they have to read past is a line hiding the command underneath it, which is how a paragraph explaining a fix ends up preventing one.

The explanations are not gone, they are moved. --verbose prints the whole scan with the reasoning in full, and so does the file --report writes, where the reader is an instructor with the time to spend and brevity is the wrong goal. Every finding carries both, and one that was never given the short form falls back to the long one rather than saying nothing.

im doctor                # the whole thing
im doctor -v             # also show what was looked at and was fine
im doctor --offline      # skip the network checks
im doctor --report       # also write im-doctor-report.txt to send to an instructor
im doctor --no-upgrade   # do not upgrade `im` itself first

Warnings do not set the exit code; only failures do.

Keeping itself current

A fix only reaches a hundred students if it arrives, and no student thinks of upgrading a tool that has never asked them to. So im asks on their behalf: at most once a day, on a background thread so no command ever waits for it, with the answer cached in the home folder rather than the course folder, which gets moved and copied and started over.

Which index it asks depends on how this copy was installed, read off the machine rather than guessed — the conda record in the prefix, the shape of the path around it, or the absence of both. That same answer decides what is offered:

Every command prints one line when there is something newer, after its own output rather than before it. im update and im doctor go further and upgrade im before doing anything else, since both are commands for putting a broken setup right and a stale im is one of the things that can be broken.

Neither asks first. The question is one a student cannot answer — they do not know what is in the newer one, and they are running the command because something is already wrong — and a fix that a hundred people decline is a fix that did not happen. So it upgrades, and then runs what was actually typed, as a process of its own:

There is a newer im: 0.1.12 -> 0.1.13
This one is the conda package in your course environment.

Upgrading im from 0.1.12. This may take a minute.
...
Running `im doctor --report` again on the new one.

A second process is what makes that possible at all: im cannot swap itself out from under itself, because the modules it is running are already loaded and on Windows the files are held open besides. The child gets the version just installed, and this one exits with whatever the child says — so a student types one command and gets one command's worth of output, and never has to know the tool stopped to fix itself in the middle.

Which copy the child is is decided rather than guessed. Inside a course environment it is reached the way everything else in that folder is, with pixi --quiet run im … in the folder; anywhere else it is the console script sitting beside the interpreter that was just upgraded, and failing that the same interpreter asked by name with -m im_course_tools. Never plain im, which on a machine carrying two of them picks the wrong one as often as not. The child is also told not to check for updates, so nothing can send it round the loop twice.

An upgrade that finishes cleanly is checked to have actually changed the version, read fresh off disk, before any of that happens: one that runs, succeeds and changes nothing would otherwise send a student round the same loop indefinitely. --no-upgrade on either command skips the whole thing.

Set IM_NO_UPDATE_CHECK=1 to switch the whole thing off.

Installing it outside the course environment

im doctor is most useful on a machine where the course environment is exactly what is broken, so it is worth having a copy that does not depend on one:

pixi global install -c conda-forge -c munch-group im-course-tools

A globally installed im notices that it is the global one and says so, since im check can only see the packages in the Python it is itself running on and would otherwise report a working environment as empty.

Development

pixi run install-dev     # editable install into the pixi environment
pixi run test            # the test suite

The tests run against a fake course website on disk, reached through a file:// URL, so they never touch the real site, and a suite-wide fixture sets IM_NO_UPDATE_CHECK so no test asks a package index anything. IM_COURSE_URL and IM_COURSE_FOLDER are the two overrides they use, and they work by hand too:

IM_COURSE_URL=file:///path/to/_book im get iteration

Release

pixi run release         # bump, tag, and push; CI builds the conda and pip packages

License

MIT