Posts tagged with "Coding"

Textual Query Sandbox Update

1 min read

Since quickly hacking together textual-query-sandbox a few days back, I've made a bunch of small changes here and there. While most have been cosmetic and playing with some ideas, some have also been internal improvements that should make the tool work better.

The most prominent change is one I pondered in the previous post, where I thought it might be interesting to have a small collection of playgrounds grounded together with a TabbedContent. So as of now the tool still has the original playground which had an emphasis on nested containers:

Playground 1

There's now a playground with an emphasis on selecting widgets within containers1:

Playground 2

There's also now a playground that has an emphasis on pulling out widgets based on ID and classes:

Playground 3

The other change you will notice from the original post is the DOM tree shown in the bottom right corner. Note that that isn't there to show your query result (that's the bottom left panel), it's there to help picture how the DOM in the current playground hangs together, and will hopefully help in picturing the structure for when you write a query.

I sense there's still a lot of fun things I could add to this, and I'm still keen on the idea of having the playgrounds "soft coded" in some way, so people can make their own and load them up.

Another thing I want to try and work on is making the display as useful as possible. While I think it's actually pretty neat and clear, there's not a lot of space2 available to show the playground and the results. Finding a good balance is an interesting problem.

For a number of reasons this is turning into a really enjoyable tinker project.


  1. This is, of course, slightly nonsensical wording. Containers are widgets in Textual. Pretty much everything you see in your terminal is a widget, even a Screen is a widget. 

  2. A lot of this of course hinges on how big someone's terminal is. I tend to run a fairly high resolutions with the smallest font I find readable so my terminal windows are often pretty "big"; other people tend to have something much smaller in terms of cell with/height. 

Textual Query Sandbox

2 min read

Sometimes I can have an idea for a Textual widget, library or application on my ideas list for weeks, months even, before I get around to it -- mostly just due to not having the clear time to make a run at getting it going -- and then other times an idea can pop into my head and it has to be created there and then. Has to be!

This happened yesterday evening.

While the tool I built is something I'd thought of before (back around November last year I think) it hadn't even made it to my "list of stuff I should make" that I keep in Apple Reminders; not sure why really. But then yesterday evening a question cropped up on the Textual Discord server that related to the subject and I was reminded of it.

The subject being: Textual DOM queries. I like to think that DOM queries in Textual are pretty easy to do, and well-explained in the docs, but it's fair to admit that they need a bit of practice first, just like any powerful tool. So I was reminded that I'd wanted to write a sandbox application, that would have a practice DOM inside it, an input field to type in a query, and a way of displaying the results.

So textual-query-sandbox was born!

Textual Query Sandbox

In this very first version (which was really quickly put together -- it was something like 15 minutes to write the main code and then probably 45 minutes tweaking styles, adding all the admin stuff to allow deployment to PyPi and writing the README) there's an Input, a display of a group of nested containers with different IDs and classes, and then a Pretty widget at the bottom to show the query result.

If you think this looks like it might be useful to you, it can be installed using either pip or (ideally) pipx:

pipx install textual-query-sandbox

and then you can run it with:

tqs

At which point load up the Textual query docs, type queries into the input field, hit enter and see what gets highlighted and which widgets end up in the result set at the bottom of the screen.

Like I say: this was a quick hack yesterday evening, I think there's a lot more can go into this. For one thing I think a more interesting practice DOM would be a good idea, with a good mix of widgets; another thing could be having a collection of different DOM playgrounds that can be switched between (a TabbedContent of different playgrounds could be fun here); this could even be taken further such that the user can create their own playground DOM to practice against.

Eventually it would be neat if this could be turned into a library that can be included in a Textual application, as a development-time debug tool, so that on-the-fly test queries can be made.

For now though, it's started, it's under way, and I think the current version probably covers 90% of the use cases for something like this; making for a really quick and easy tool to double-check how to query something.

Unbored v0.6.0

1 min read

Late on last year I wrote about a bunch of new things that I'd added to PyPi, things mostly kicked off by an early dog-fooding session we had at textual HQ. Since then I've been slowly doing my best to keep the applications up to date with Textual.

Unbored

As much as possible we try and not make breaking changes with the framework, but at the same time it is still 0.x software and there's still new ways of doing things being designed so there's going to be the odd break in approach now and again.

Unbored, my kind of silly self-populating TODO list application, has been sitting atop Textual 0.20.x for a while now and earlier today I checked how it was getting in with 0.32.0 and... actually surprisingly okay. Not perfect, there were a couple of things that had suffered from bitrot, but it wasn't crashing.

The main thing I needed to change was the ability to focus a couple of containers (they didn't used to receive focus by default, now they do so I had to tell them not to again), and that was about it.

While I was in there I also updated the application so that I dropped the nifty little slide-in error dialog I'd made, and instead embraced the new Textual notification system.

While the application itself is a bit silly, and likely of no real use to anyone, I feel it's a pretty good barometer application, helping me check what the experience is like when it comes to maintaining a Textual application and the needs to keep on top of changes to Textual.

It goes without saying, I hope, that really you should pin the Textual dependency for your applications, and upgrade in a controlled and tested way; for this though it's less crucial and is a good test of the state of the ecosystem, and on the remote chance that anyone is using it, it'll be helpful to me if it does break and they yell.

textual-canvas v0.2.0

1 min read

Demo of textual-canvas

Given that for a good chunk of this year I've been a bit lax about writing here, there's a couple or so coding projects I've not written about (well, not on here anyway -- I have spoken lots about them over on Fosstodon). One such project is textual-canvas.

As the name might suggest, it's a "canvas" for Textual applications, which provides a pretty basic interface for drawing pixels, lines and circles -- and of course any other shape you are able to build up from those basics.

I've just released a quick update after it was requested that I add a clear method to the Canvas widget; a request that makes perfect sense.

A new GitHub profile README

2 min read

My new GitHub banner

Ever since GitHub introduced the profile README1 I've had a massively low-effort one in place. I made the repo, quickly wrote the file, and then sort of forgot about it. Well, I didn't so much forget as just keep looking at it and thinking "I should do something better with that one day".

Thing is, while there are lots of fancy approaches out there, and lots of neat generator tools and the like... they just weren't for me.

Then yesterday, over my second morning coffee, after getting my blog environment up and going again, I had an idea. It could be cool to use Textual's screenshot facility to make something terminal-themed! I mean, while it's not all I am these days, so much of what I'm doing right now is aimed at the terminal.

So... what to do? Then I thought it could be cool to knock up some sort of login screen type thing; with a banner. One visit to an online large terminal text generator site later, I had some banner text. All that was left was to write a simple Textual application to create the "screen".

The main layout is simple enough:

def compose(self) -> ComposeResult:
    yield Label(NAME, classes="banner")
    yield Label(PRATTLE)
    yield Label("github.com/davep login: [reverse] [/]")

where NAME contains the banner and PRATTLE contains the "login message". With some Textual CSS sprinkled over it to give the exact layout and colour I wanted, all that was left was to make the snapshot. This was easy enough too.

While the whole thing isn't fully documented just yet, Textual does have a great tool for automatically running an application and interacting with it; that meant I could easily write a function to load up my app and save the screenshot:

async def make_banner() -> None:
    async with GitHubBannerApp().run_test() as pilot:
        pilot.app.save_screenshot("davep.svg")

Of course, that needs running async, but that's simple enough:

if __name__ == "__main__":
    asyncio.run(make_banner())

Throw in a Makefile so I don't forget what I'm supposed to run:

.PHONY: all
all:
    pipenv run python make_banner.py

and that's it! Job done!

From here onward I guess I could have some real fun with this. It would be simple enough I guess to modify the code so that it changes what's displayed over time; perhaps show a "last login" value that relates to recently activity or something; any number of things; and then run it in a cron job and update the repository.

For now though... I'll stick with keeping things nice and simple.


  1. It was actually kind of annoying when they introduced it because the repo it uses is named after your user name. I already had a davep repo: it was a private repo where I was slowly working on a (now abandoned, I'll start it again some day I'm sure) ground-up rewrite of my davep.org website. 

So you're looking for a wee bit of Textual help...

(Modified: 2026-04-28 09:34:45 UTC+01:00)
11 min read

Introduction

Patience, Highlander. You have done well. But it'll take time. You are generations being born and dying. You are at one with all living things. Each man's thoughts and dreams are yours to know. You have power beyond imagination. Use it well, my friend. Don't lose your head.

Juan Sánchez Villalobos Ramírez, Chief metallurgist to King Charles V of Spain

As of the time of writing, I'm a couple or so days off having been with Textualize for 3 months. It's been fun, and educational, and every bit as engaging as I'd hoped, and more. One thing I hadn't quite prepared for though, but which I really love, is how so many other people are learning Textual along with me.

Even in those three months the library has changed and expanded quite a lot, and it continues to do so. Meanwhile, more people are turning up and using the framework; you can see this online in social media, blogs and of course in the ever-growing list of projects on GitHub which depend on Textual.

This inevitably means there's a lot of people getting to grips with a new tool, and one that is still a bit of a moving target. This in turn means lots of people are coming to us to get help.

As I've watched this happen I've noticed a few patterns emerging. Some of these good or neutral, some... let's just say not really beneficial to those seeking the help, or to those trying to provide the help. So I wanted to write a little bit about the different ways you can get help with Textual and your Textual-based projects, and to also try and encourage people to take the most helpful and positive approach to getting that help.

Now, before I go on, I want to make something very clear: I'm writing this as an individual. This is my own personal view, and my own advice from me to anyone who wishes to take it. It's not Textual (the project) or Textualize (the company) policy, rules or guidelines. This is just some ageing hacker's take on how best to go about asking for help, informed by years of asking for and also providing help in email, on Usenet, on forums, etc.

Or, put another way: if what you read in here seems sensible to you, I figure we'll likely have already hit it off over on GitHub or in the Discord server. ;-)

Where to go for help

At this point this is almost a bit of an FAQ itself, so I thought I'd address it here: where's the best place to ask for help about Textual, and what's the difference between GitHub Issues, Discussions and our Discord server?

I'd suggest thinking of them like this:

Discord

You have a question, or need help with something, and perhaps you could do with a reply as soon as possible. But, and this is the really important part, it doesn't matter if you don't get a response. If you're in this situation then the Discord server is possibly a good place to start. If you're lucky someone will be hanging about who can help out.

I can't speak for anyone else, but keep this in mind: when I look in on Discord I tend not to go scrolling back much to see if anything has been missed. If something catches my eye, I'll try and reply, but if it doesn't... well, it's mostly an instant chat thing so I don't dive too deeply back in time.

ℹ️ Note

As a slight aside here: sometimes people will pop up in Discord, ask a question about something that turns out looking like a bug, and that's the last we hear of it. Please, please, please, if this happens, the most helpful thing you can do is go raise an issue for us. It'll help us to keep track of problems, it'll help get your problem fixed, it'll mean everyone benefits.

My own advice would be to treat Discord as an ephemeral resource. It happens in the moment but fades away pretty quickly. It's like knocking on a friend's door to see if they're in. If they're not in, you might leave them a note, which is sort of like going to...

GitHub

On the other hand, if you have a question or need some help or something where you want to stand a good chance of the Textual developers (amongst others) seeing it and responding, I'd recommend that GitHub is the place to go. Dropping something into the discussions there, or leaving an issue, ensures it'll get seen. It won't get lost.

As for which you should use -- a discussion or an issue -- I'd suggest this: if you need help with something, or you want to check your understanding of something, or you just want to be sure something is a problem before taking it further, a discussion might be the best thing. On the other hand, if you've got a clear bug or feature request on your hands, an issue makes a lot of sense.

Don't worry if you're not sure which camp your question or whatever falls into though; go with what you think is right. There's no harm done either way (I may move an issue to a discussion first before replying, if it's really just a request for help -- but that's mostly so everyone can benefit from finding it in the right place later on down the line).

The dos and don'ts of getting help

Now on to the fun part. This is where I get a bit preachy. Ish. Kinda. A little bit. Again, please remember, this isn't a set of rules, this isn't a set of official guidelines, this is just a bunch of "if you want my advice, and I know you didn't ask but you've read this far so you actually sort of did, don't say I didn't warn you!" waffle.

This isn't going to be an exhaustive collection, far from it. But I feel these are some important highlights.

Do...

When looking for help, in any of the locations mentioned above, I'd totally encourage:

Be clear and detailed

Too much detail is almost always way better than not enough. "My program didn't run", often even with some of the code supplied, is so much harder to help than "I ran this code I'm posting here, and I expected this particular outcome, and I expected it because I'd read this particular thing in the docs and had comprehended it to mean this, but instead the outcome was this exception here, and I'm a bit stuck -- can someone offer some pointers?"

The former approach means there often ends up having to be a back and forth which can last a long time, and which can sometimes be frustrating for the person asking. Manage frustration: be clear, tell us everything you can.

Say what resources you've used already

If you've read the portions of the documentation that relate to what you're trying to do, it's going to be really helpful if you say so. If you don't, it might be assumed you haven't and you may end up being pointed at them.

So, please, if you've checked the documentation, looked in the FAQ, done a search of past issues or discussions or perhaps even done a search on the Discord server... please say so.

Be polite

This one can go a long way when looking for help. Look, I get it, programming is bloody frustrating at times. We've all rage-quit some code at some point, I'm sure. It's likely going to be your moment of greatest frustration when you go looking for help. But if you turn up looking for help acting all grumpy and stuff it's not going to come over well. Folk are less likely to be motivated to lend a hand to someone who seems rather annoyed.

If you throw in a please and thank-you here and there that makes it all the better.

Fully consider the replies

You could find yourself getting a reply that you're sure won't help at all. That's fair. But be sure to fully consider it first. Perhaps you missed the obvious along the way and this is 100% the course correction you'd unknowingly come looking for in the first place. Sure, the person replying might have totally misunderstood what was being asked, or might be giving a wrong answer (it me! I've totally done that and will again!), but even then a reply along the lines of "I'm not sure that's what I'm looking for, because..." gets everyone to the solution faster than "lol nah".

Entertain what might seem like odd questions

Aye, I get it, being asked questions when you're looking for an answer can be a bit frustrating. But if you find yourself on the receiving end of a small series of questions about your question, keep this in mind: Textual is still rather new and still developing and it's possible that what you're trying to do isn't the correct way to do that thing. To the person looking to help you it may seem to them you have an XY problem.

Entertaining those questions might just get you to the real solution to your problem.

Allow for language differences

You don't need me to tell you that a project such as Textual has a global audience. With that rather obvious fact comes the other fact that we don't all share the same first language. So, please, as much as possible, try and allow for that. If someone is trying to help you out, and they make it clear they're struggling to follow you, keep this in mind.

Acknowledge the answer

I suppose this is a variation on "be polite" (really, a thanks can go a long way), but there's more to this than a friendly acknowledgement. If someone has gone to the trouble of offering some help, it's helpful to everyone who comes after you to acknowledge if it worked or not. That way a future help-seeker will know if the answer they're reading stands a chance of being the right one.

Accept that Textual is zero-point software (right now)

Of course the aim is to have every release of Textual be stable and useful, but things will break. So, please, do keep in mind things like:

  • Textual likely doesn't have your feature of choice just yet.
  • We might accidentally break something (perhaps pinning Textual and testing each release is a good plan here?).
  • We might deliberately break something because we've decided to take a particular feature or way of doing things in a better direction.

Of course it can be a bit frustrating at times, but overall the aim is to have the best framework possible in the long run.

Don't...

Okay, now for a bit of old-hacker finger-wagging. Here's a few things I'd personally discourage:

Lack patience

Sure, it can be annoying. You're in your flow, you've got a neat idea for a thing you want to build, you're stuck on one particular thing and you really need help right now! Thing is, that's unlikely to happen. Badgering individuals, or a whole resource, to reply right now, or complaining that it's been $TIME_PERIOD since you asked and nobody has replied... that's just going to make people less likely to reply.

Unnecessarily tag individuals

This one often goes hand in hand with the "lack patience" thing: Be it asking on Discord, or in GitHub issues, discussions or even PRs, unnecessarily tagging individuals is a bit rude. Speaking for myself and only myself: I love helping folk with Textual. If I could help everyone all the time the moment they have a problem, I would. But it doesn't work like that. There's any number of reasons I might not be responding to a particular request, including but not limited to (here I'm talking personally because I don't want to speak for anyone else, but I'm sure I'm not alone here):

  • I have a job. Sure, my job is (in part) Textual, but there's more to it than that particular issue. I might be doing other stuff.
  • I have my own projects to work on too. I like coding for fun as well (or writing preaching old dude blog posts like this I guess, but you get the idea).
  • I actually have other interests outside of work hours so I might actually be out doing a 10k in the local glen, or battling headcrabs in VR, or something.
  • Housework. :-/

You get the idea though. So while I'm off having a well-rounded life, it's not good to get unnecessarily intrusive alerts to something that either a) doesn't actually directly involve me or b) could wait.

Seek personal support

Again, I'm going to speak totally for myself here, but I also feel the general case is polite for all: there's a lot of good support resources available already; sending DMs on Discord or Twitter or in the Fediverse, looking for direct personal support, isn't really the best way to get help. Using the public/collective resources is absolutely the best way to get that help. Why's it a bad idea to dive into DMs? Here's some reasons I think it's not a good idea:

  • It's a variation on "unnecessarily tagging individuals".
  • You're short-changing yourself when it comes to getting help. If you ask somewhere more public you're asking a much bigger audience, who collectively have more time, more knowledge and more experience than a single individual.
  • Following on from that, any answers can be (politely) fact-checked or enhanced by that audience, resulting in a better chance of getting the best help possible.
  • The next seeker-of-help gets to miss out on your question and the answer. If asked and answered in public, it's a record that can help someone else in the future.

Doubt your ability or skill level

I suppose this should really be phrased as a do rather than a don't, as here I want to encourage something positive. A few times I've helped people out who have been very apologetic about their questions being "noob" questions, or about how they're fairly new to Python, or programming in general. Really, please, don't feel the need to apologise and don't be ashamed of where you're at.

If you've asked something that's obviously answered in the documentation, that's not a problem; you'll likely get pointed at the docs and it's what happens next that's the key bit. If the attitude is "oh, cool, that's exactly what I needed to be reading, thanks!" that's a really positive thing. The only time it's a problem is when there's a real reluctance to use the available resources. We've all seen that person somewhere at some point, right? ;-)

Not knowing things is totally cool.

Conclusion

So, that's my waffle over. As I said at the start: this is my own personal thoughts on how to get help with Textual, both as someone whose job it is to work on Textual and help people with Textual, and also as a FOSS advocate and supporter who can normally be found helping Textual users when he's not "on the clock" too.

What I've written here isn't exhaustive. Neither is it novel. Plenty has been written on the general subject in the past, and I'm sure more will be written on the subject in the future. I do, however, feel that these are the most common things I notice. I'd say those dos and don'ts cover 90% of "can I get some help?" interactions; perhaps closer to 99%.

Finally, and I think this is the most important thing to remember, the next time you are battling some issue while working with Textual: don't lose your head!

ℹ️ Note

This advice blog post was first hosted on the Textual devlog.

OIDIA

2 min read

Another little thing that's up on PyPi now, which is the final bit of fallout from the Textual dogfooding sessions, is a little project I'm calling OIDIA.

The application is a streak tracker. I'm quite the fan of streak trackers. I've used a few over the years, both to help keep me motivated and honest, and also to help me track that I've avoided unhelpful things too. Now, most of the apps I've used, and use now, tend to have reminders and counts and stats and are all about "DO NOT BREAK THE STREAK OR ELSE" and that's mostly fine, but...

To keep things simple and to purely concentrate on how to build Textual apps, I made this a "non-judgement" streak tracker. It's designed to be really simple: you add a streak, you bump up/down the number of times you did (or didn't do) the thing related to that streak, for each day, and that's it.

No totals. No stats. No reminders and bugging. No judgement.

Here it is in action:

When I started it, I wasn't quite sure how I wanted to store the data. Throwing it in a SQLite database held some appeal, but that also felt like a lot of faff for something so simple. Also, I wanted to make the data as easy to get at, to use elsewhere, and to hack on, as possible. So in the end I went with a simple JSON file.

On macOS and GNU/Linux streaks.json lives in ~/.local/share/oidia, on Windows it'll be in... I'm not sure off the top of my head actually; it'll be in whatever directory the handy xdg library has chosen. and because it's JSON that means that something like this:

OIDIA in action

ends up looking like this:

[
    {
        "title": "Hack some Python",
        "days": {
            "2022-12-02": 1,
            "2022-12-03": 1,
            "2022-12-04": 1,
            "2022-12-05": 1,
            "2022-12-06": 1,
            "2022-12-07": 1,
            "2022-12-08": 1,
            "2022-12-01": 1,
            "2022-11-30": 1,
            "2022-11-29": 1,
            "2022-11-28": 1
        }
    },
    {
        "title": "Brush my teeth",
        "days": {
            "2022-12-02": 2,
            "2022-12-03": 2,
            "2022-12-04": 2,
            "2022-12-05": 2,
            "2022-12-06": 2,
            "2022-12-07": 2,
            "2022-12-08": 1,
            "2022-12-01": 2,
            "2022-11-30": 2,
            "2022-11-29": 2,
            "2022-11-28": 2
        }
    },
    {
        "title": "Walk",
        "days": {
            "2022-12-02": 1,
            "2022-12-03": 1,
            "2022-12-04": 1,
            "2022-12-05": 1,
            "2022-12-06": 1,
            "2022-12-07": 1,
            "2022-12-08": 1,
            "2022-12-01": 1,
            "2022-11-30": 1,
            "2022-11-29": 1,
            "2022-11-28": 1
        }
    },
    {
        "title": "Run 5k",
        "days": {
            "2022-12-03": 2,
            "2022-12-05": 1,
            "2022-11-30": 1,
            "2022-11-28": 2
        }
    },
    {
        "title": "Run 10k",
        "days": {
            "2022-12-03": 1,
            "2022-11-28": 1
        }
    }
]

Of course, it remains to be seen how well that actually scales; possibly not so well over a long period of time, but this was written more as another way to explore Textual than anything else. Even then, it would be pretty trivial to update to something better for holding the data.

If this seems like your thing (and I will be supporting it and onward developing it) you can find it over on PyPi, which means it can be installed with pip or the ever-handy pipx:

pipx install oidia

New Things On PyPi

(Modified: 2026-04-28 11:12:56 UTC+01:00)
4 min read

An update

So, it's fast approaching 2 months now since I started the new thing and it's been a busy time. I've had to adjust to a quite a few new things, not least of which has been a longer and more involved commute. I'm actually mostly enjoying it too. While having to contend with buses isn't the best thing to be doing with my day, I do have a very fond spot for Edinburgh and it's nice to be in there most days of the week.

Part of the fallout from the new job has been that, in the last couple of weeks, I've thrown some more stuff up on PyPi. This comes about as part of a bit of a dog-fooding campaign we're on at the moment. While they have been, and will continue to be, mentioned on the Textualize blog, I thought I'd give a brief mention of them here on my own blog too given they are, essentially, personal projects.

gridinfo

This is one I'd like to tweak some more and improve on if possible. It is, in essence, a Python-coded terminal tool that does more or less the same as slstats.el. It started out as a rather silly quick hack, designed to do something different with rich-pixels.

Here's the finished version (as of the time of writing) being put through its paces:

Download from here, or install and play with it with a quick pipx install gridinfo.

unbored

The next experiment with Textual was to write a terminal-based client for the Bored-API. My initial plan for this was to just have a button or two that the user could mash on and they'd get an activity suggestion dropped into the middle of the terminal; but really that seemed a bit boring. Then I realised that it'd be a bit more silly and a bit more fun if I did it as a sort of TODO app. Bored? Run it up and use one of the activities you'd generated before. Don't like any of them? Ignore them and generate some more! Feeling bad that you've got such a backlog of reasons to not be bored? Delete a bunch!

And so on.

Here's a short video of it in action:

Download from here, or install and play with it with a quick pipx install unbored.

textual-qrcode

This one... this one I'm going to blame on the brain fog that followed flu and Covid jabs that happened the day before (and which are still kicking my arse 4 days later). Monday morning, at my desk, and I'm wondering what to next write to experiment with Textual, and I realised it would be interesting to write something that would show off that it's easy to make a third party widget library.

And... yeah, I don't know why, but I remembered qrencode.el and so textual-qrcode was born!

The most useless Textal widget yet

I think the most amusing part about this is that I did it in full knowledge that it would be useless; the idea being it would be a daft way of showing off how you could build a widget library as an add-on for Textual. But... more than one person actually ended up saying "yeah hold up there this could actually be handy!"

If you're one of those people... you'll find it here.

FivePyFive

While I was on a roll putting stuff up on PyPi, I also decided to tweak up my Textual-based 5x5 and throw that up too. This was my first app built with Textual, initially written before I'd even spoken to Will about the position here. At one point I even did a version in Lisp.

It's since gone on to become one of the example apps in Textual itself but I felt it deserved being made available to the world via an easy(ish) install. So, if you fancy trying to crack the puzzle in your terminal, just do a quick:

pipx install fivepyfive

and click away.

You can find it over here.

PISpy

Finally... for this week anyway, is a tool I've called PISpy. It's designed as a simple terminal client for looking up package information on PyPi. As of right now it's pretty straightforward, but I'd like to add more to it over time. Here's an example of it in action:

One small wrinkle with publishing it to PyPi was the fact that, once I'd chosen the name, I checked that it hadn't been used on PyPi (it hadn't) but when it came to publishing the package it got rejected because the name was too similar to another package! I don't know which, it wouldn't say, but that was a problem. So in the end the published name ended up having to be slightly different from the actual tool's name.

See over here for the package, and you can install it with a:

pipx install pispy-client

and then just run pispy in the terminal.

Conclusion

It's been a fun couple of weeks coming up with stuff to help exercise Textual, and there's more to come. Personally I've found the process really helpful in that it's help me learn more about the framework and also figure out my own approach to working with it. Each thing I've built so far has been a small step in evolution on from what I did in the previous thing. I doubt I've arrived at a plateau of understanding just yet.

Python and macOS

5 min read

Introduction

On Twitter, a few weeks back, @itsBexli asked me how I go about setting up Python for development on macOS. It's a great question and one that seems to crop up in various places, and since I first got into using macOS and then subsequently got back into coding lots in Python it's absolutely an issue I ran into.

With my previous employer, while I was the only developer, I wasn't the only person writing code and more than one other person had this issue so I eventually wrote up my approach to solving this problem. That document is on their internal GitLab, but I thought it worth me writing my personal macOS/Python "rules" up again, just in case they're useful to anyone else.

I am, of course, not the first person to tackle this, to document this, to write down a good approach to this. Before and after I settled on my approach I'd seen other people write about this. So... this post isn't here to try and replace those, it's simply to write down my own approach, so if anyone asks again I can point them here. I feel it's important to stress: this isn't the only way or thoughts on this issue, there are lots of others. Do go read them too and then settle on an approach that works for you.

One other point to note, which may or may not make a difference (and may or may not affect how this changes with time): for the past few years I've been a heavy user of pipenv to manage my virtual environments. This is very likely to change from now on, but keep in mind that what follows was arrived at from the perspective of a pipenv user.

So... with that admin aside...

The Problem

When I first got back into writing Python it was on macOS and, really early on, I ran into all the usual issues: virtual environments breaking because they were based on the system Python and it got updated, virtual environments based on the Homebrew-installed Python and it got updated, etc... Simply put, an occasional, annoying, non-show-stopping breaking of my development environment which would distract me when I'd sat down to just hack on some code, not do system admin!

My Solution

For me, what's worked for me without a problem over the past few years, in short, is this:

  1. NEVER use the system version of Python. Just don't.
  2. NEVER use the Homebrew's own version of Python (I'm not even sure this is an issue any more; but it used to be).
  3. NEVER use a version of Python installed with Homebrew (or, more to the point, never install Python with Homebrew).
  4. Manage everything with pyenv; which I do install from Homebrew.

The Detail

As mentioned earlier, what I'm writing here assumes that virtual environments are being managed with pipenv (something I still do for personal projects, for now, but this may change soon). Your choices and mileage may vary, etc... This is what works well for me.

The "one time" items

These are the items that need initially installing into a new macOS machine:

Homebrew

Unless it comes from the Mac App Store, I try and install everything via Homebrew. It's really handy for keeping track of what I've got installed, for recreating a development environment in general, and for keeping things up to date.

pyenv

With Homebrew installed the next step for me is to install pyenv. Doing so is as easy as:

brew install pyenv

Once installed, if it's not done it for you, you may need to make some changes to your login profile. I'm a user of fish so I have these lines in my setup. Simply put: it asks pyenv to set up my environment so my calls to Python go via its setup.

Plenty of help on how to set up pyenv can be found in its README.

Once I've done this I tend to go on and install the Python versions I'm likely to need. For me this tends to be the most recent "active" stable versions (as of the time of writing, 3.7 through 3.10; although I need to now start throwing 3.11 into the mix too).

I use this command:

pyenv install --list

to see the available versions. If I want to see what's available for a specific version I'll pipe through grep:

pyenv install --list | fgrep "  3.9"

This is handy if I want to check what the very latest release of a specific version of Python is.

The "Global" Python

When I'm done with the above I then tend to use pyenv to set my "global" Python. This is the version I want to get when I run python and I'm not inside a virtual environment. Doing that is as simple as:

pyenv global 3.10.7

Of course, you'd swap the version for whatever works for you.

When Stuff Breaks

It seems more rare these days, but on occasion I've had it such that some update somewhere still causes my environment to break. Now though I find that all it takes is a quick:

pyenv rehash

and everything is good again.

Setting Up A Repo

With all of the stuff above being mostly a one-off (or at least something I do once when I set up a new machine -- which isn't often), the real "work" here is when I set up a fresh repository when I start a new project. Really it's no work at all. Again, as I've said before, I've tended to use pipenv for my own work, and still do for personal stuff (but do want to change that), mileage may vary here depending on tool.

When I start a new project I think about which Python version I want to be working with, I ensure I have the latest version of it installed with pyenv, and then ask pipenv to create a new virtual environment with that:

pipenv --python 3.10.7

When you do this, you should see pipenv pulling the version of Python from the pyenv directories:

$ pipenv --python 3.10.7
Creating a virtualenv for this project...
Pipfile: /Users/davep/temp/cool-project/Pipfile
Using /Users/davep/.pyenv/versions/3.10.7/bin/python3 (3.10.7) to create virtualenv...
⠙ Creating virtual environment...created virtual environment CPython3.10.7.final.0-64 in 795ms
  creator CPython3Posix(dest=/Users/davep/temp/cool-project/.venv, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/Users/davep/Library/Application Support/virtualenv)
    added seed packages: pip==22.2.2, setuptools==65.3.0, wheel==0.37.1
  activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator
✔ Successfully created virtual environment!
Virtualenv location: /Users/davep/temp/cool-project/.venv
Creating a Pipfile for this project...

The key thing here is seeing that pipenv is pulling Python from ~/.pyenv/versions/. If it isn't there's a good chance you have a Python earlier in your PATH than the pyenv one -- something you generally don't want. It will work, but it's more likely to break at some point in the future. That's the key thing I look for; if I see that I know things are going to be okay.

Conclusion

Since I adopted these personal rules and approaches (and really, calling them "rules" is kind of grand -- there's almost nothing to this) I've found I've had near-zero issues with the stability of my Python virtual environments (and what issues I have run into tend to be trivial and of my own doing).

As I said at the start: there are, of course, other approaches to this, but this is mine and works well for me. Do feel free to comment with your own, I'm always happy to learn about new ways!

Build in public, even in private

4 min read

As mentioned yesterday, I'm about to start working at Textualize, and building Open-source software is important to the company. Will -- the CEO -- is all about building in public. If you follow him on Twitter you'll notice that his Python coding adventure tweets actually outnumber is cooking tweets!

As someone who has long been a supporter of and fan of Free Software and Open-source software, and has made some small contributions along the way, I've also always made a point of building my own tools in public. In most cases they're things that are likely only helpful to me, but some are more generally useful. The point being though: it's all there in case it's helpful to someone else.

Which means that, as much as possible, when I'm writing code, I write it as if it's going to be visible in public and someone else is going to be reading it. I try and make the code tidy. I try and comment it well. I try (but don't always manage for personal projects) to fully document it. The important thing here being that someone coming to the code fresh should be able to follow what's going on.

Against that background, and having just gone through the process of handing off almost 5 years of work to someone else as a left an employer, I got to thinking: we should always "build in public", even if it's in private.

When I started with my previous employer, and even to the day I left, I was the only software developer there. I worked with a team who wrote code, but being software developers wasn't what they did. Bioinformaticians and machine learning scientists have other things to be doing. But, as I wrote my code, I wrote every line assuming they, or some other developer down the line, would be reading it. Pretty much every line was written for an audience I couldn't see and didn't fully know. This, as mentioned above, meant trying to keep the code clean, ensuring it was commented in helpful ways, ensuring the documentation was helpful, and so on.

But it wasn't just about the code. Any non-trivial system will have more to it than code. We had an internal instance of GitLab and I tracked all of my work on there. So, as I planned and worked on new features, or went on bug hunts, I'd document the process in the issue tracker. As much as possible I'd be really verbose about the process. Often I wouldn't just open an issue, go work on it, and then mark it closed; as I worked through the issue I'd add comment after comment under it, documenting my thinking, problems, solutions, cite sources when looking something up, that sort of thing.

The whole process was an act in having a conversation with current or future team members if they ever needed to look; with future me (really, that helped more than once -- we all have those "that the hell was I thinking?" moments); with any developer(s) who took over from me in the future.

I did all this as if I was broadcasting it in public on Twitter or on GitHub, etc. It was in private, of course, but I approached it as if it was in public.

There were always three main reasons for this, I felt:

  1. Accountability. At any moment someone who I worked with could review what I was doing and why I was doing it; it was an invitation to anyone curious enough to talk with me about what I was building and how I was building it.
  2. Continuity of support for unplanned reasons. Life happens, sometimes you may, unplanned, never be available at work again. I never wanted to leave my employer in a position where picking up from such an event was a nightmare.
  3. Continuity of support for planned reasons. It was possible, and it became inevitable, that I'd move on to something else. If that was to happen I wanted to be sure that whoever picked up after me would be able to do so without too much effort.

In the end, item 3 seemed to really pay off. When it came time for me to hand over my work to someone else, as I left, the process was really smooth and trouble-free. I was able to point the developer at all the documentation and source code, at all the issues, and invite them to read through it all and then come back to me with questions. In terms of time actually spent talking about the main system I was handing over I'd say that 4 years of work was handed over with just a few hours of actual talking about it.

It remains to be seen if it really paid off, of course. If they get really stuck they do have an open invitation to ping me a question or two; I care enough about what I designed and built that I want it to carry on being useful for some time to come. But... I like to think that all of that building in public, in private, will ensure that this is an invitation that never needs to be called on. I like to think that, if something isn't clear, they'll be able to check the code, the documentation and the issue history and get to where they need to go.