Annotating Android

Coding for Android typically means writing Java, for all the good and bad it entails. The language itself is known of its verbosity, but the Android itself does not really encourage conciseness either.

To illustrate, look at this trivial activity that simply displays its application name and version, complete with a button that allows to close the app:

Phew, that’s a lot of work! While the IDE will help you substantially in crafting this code, it won’t help that much when it comes to reading it. You can easily see how a lot of stuff here is repeated over and over, most notably fields holding View objects. Should you need to change something about them or add a new one, you have to go through all these places.

Not to mention that it simply looks cluttered.

What to do about it, though?… As it turns out there is a way to structure your Android code in a more succinct and readable way. Like a few other approaches to modern Java, it employs a palette of annotations. There is namely a project called Android Annotations that offers few dozens of them and aims to speed up Android development, making the code easier and more maintainable.

And it’s pretty damn good at that, I must say. Rewriting the previous snippet to use those annotations results in a class which looks roughly like this:

Not only we have eliminated all the boilerplate, leaving only the actual logic, but also made the code more declarative and explicit. Some of the irrelevant entities has been completely removed, too, like the btnExit field which was only used to bind an event listener. Overall, it’s much more elegant and understandable code.

How about a bigger example? There is one on the project’s official page which looks pretty impressive. I can also weigh in my own anecdotal evidence of going through the Android game I wrote long ago and molding its code (a few KLOC) to work with AA. The result has been rather impressive, partially thanks to very light dependency injection facilities that the project provides, allowing me to replace many occurrences of Game.get().getGfx().draw(...); silliness with just gfx.draw(...);.

So in closing, I can recommend AA to all Android devs out there. It will certainly make your lives easier!

Unexpectedly Clean Code

There is this quite well known book, titled Clean Code. It is a very insightful work which I wholeheartedly recommend reading for any serious (or semi-serious) programmer.
The premise revolves around the concept of “cleanness” of code, which the author defines in various ways. Mostly it boils down to high signal-to-noise ratio and clear structure, where everything is neatly subdivided into smaller parts.

The idea is very appealing. For some it may even sound like a grand revelation; I know it was almost like that for me. But there is a bigger kind of meta-lesson to be learned here: the one of scope where such great ideas apply – and where they don’t.

You see, the Clean Code ideal works very well for certain kind of languages. The original examples in the book are laid down in Java and this is no coincidence. Java – as well as C, Go and probably few others – is not a very expressive language: lots of detailed busy work is often needed, even for conceptually simple tasks. And if several such tasks are lined up one after another, the reader is likely to drown in small details instead of seeing the bigger picture.

Those details are therefore one of the prime reasons why you may call some code “unclean”. To tidy up, they need to be properly encapsulated, away from a higher level overview. Hence it’s pretty common in Java to see functions like this one:

and think of them as good code, even if such a function is only used once. The goodness comes from the fact that they are relieving their callers from irrelevant loop minutiae, so that it’s easier to see why we need foos to be valid in the first place.

Yet, at the same time, if you saw a completely equivalent Python construct:

you would firstly curse at incompetence and lack of knowledge of whoever wrote it:

and then you would get rid of the function altogether:

Why? Because the language is expressive enough for implementation itself to be almost as readable as the function call. Sure, throw the result of all(...) into a variable for even more self-documenting sweetness, but don’t put it in some far away place behind a standalone function. Such code may or may not be cleaner; it will definitely raise eyebrows, though.

And lack of astonishment is probably the most important metric.

Making Flask’s url_for More Flexible

Flask is one of the countless web frameworks available for Python. It’s probably my favorite, because it’s rather minimal, simple and easy to use. All the expected features are there, too, although they might not be as powerful as in some more advanced tools.

As an example, here’s how you define some simple request handler, bound to a parametrized URL pattern:

This handler responds to requests that go to /post/42 and similar paths. The syntax for those URL patterns is not very advanced: parameters can only be captured as path segments rather than arbitrary groups within a regular expression. (You can still use query string arguments, of course).

On the flip side, reversing the URL – building it from handler name and parameters – is always possible. There is a url_for function which does just that. It can be used both from Python code and, perhaps more usefully, from HTML (Jinja) templates:

Parameters can have types, too. We’ve seen, for example, that post_id was defined as int in the URL pattern for blogpost handler. These types are checked during the actual routing of HTTP requests, but also by the url_for function:

Most of the time, this little bit of “static typing” is a nice feature. However, there are some cases where this behavior of url_for is a bit too strict. Anytime we don’t intend to invoke the resulting URL directly, we might want a little more flexibility.

Biggest case-in-point are various client-side templates, used by JavaScript code to update small pieces of HTML without reloading the whole page. If you, for example, wanted to rewrite the template above to use Underscore templates, you would still want url_for to format the blogpost URL pattern:

Assuming you don’t feel dizzy from seeing two templating languages at once, you will obviously notice that '< %= post.id %>' is not a valid int value. But it’s a correct value for post_id parameter, because the resulting URL (/post/< %= post.id %>) would not be used immediately. Instead, it would be just sent to the browser, where some JS code would pick it up and replace the Underscore placeholder with an actual ID.

Unfortunately, bypassing the default strictness of url_for is not exactly easy.

When and What to Bash

Often I advocate using Python for various automation tasks. It’s easy and powerful, especially when you consider how many great libraries – both standard and third party – are available at your fingertips. If asked, I could definitely share few anecdotes on how some .py script saved me a lot of hassle.

So I was a bit surprised to encounter a non-trivial problem where using Python seemed like an overkill. What I needed to do was to parse some text documents; extract specific bits of information from them; download several files through HTTP based on that; unzip them and place their content in designated directory.

Nothing too fancy. Rather simple stuff.

But then I realized that doing all this in Python would result in something like a screen and a half of terse code, full of tedious minutiae.
The parsing part alone would be a triply nested loop, with the first two layers taken by os.walk boilerplate. Next, there would be the joys of urllib2; heaven forbid it turns out I need some headers, cookies or authentication. Finally, I would have to wrap my head around the zipfile module. Oh cool, seems like some StringIO glue might be needed, too!

Granted, I would probably use glob2 for walking the file system, and definitely employ requests for HTTP work. And thus my little script would have external dependencies; isn’t that making it a full-blown program?…

Hey, I didn’t sign up for this! It was supposed to be simple. Why do I need to reimplement grep and curl, anyway? Can’t I just…

…oh wait.

Everybody Should Learn to Code!… Wait, What?

You may have seen this video, starring Mark Zuckerberg, Drew Houston (from Dropbox) and a couple of other tech stars. They promote the Code.org initiative, advocating that every school kid in the U.S. should have programming classes as part of their educational offer.

It’s a recent development, but the whole idea of promoting computer programming among broad audience is in the spotlight for quite some time now. Not only in the U.S., mind you. In Estonia, for example, children are to be offered coding classes starting from early elementary school.

The message seems to be pretty clear: everyone should learn to code, the earlier the better. In the future, it will be an obvious part of basic literacy, like reading and writing natural language. Everyone will get to do some really cool and useful things with their computers.

Sounds great, doesn’t it?…

So why I can’t help but to roll my eyes when I hear about this? Am I just an obnoxious, elitist jerk who doesn’t want others to experience the feeling of empowerment and satisfaction that creating your own computer programs can evoke every so often?… D’oh, I really hope not.

So maybe there are some actual problems with this idea. I would hesitate to say that it just doesn’t, ahem, compute, but I can certainly see a few issues, misconceptions and dubious assumptions.

Slides from My Talk at Name Collision

Last Friday I had the pleasure of attending the Name Collision hackathon in Warsaw. I haven’t actually taken part in the competition but I served as a mentor, trying to help the teams get stuff done as much I could. It was really fun experience.

Before that, though, I gave a short lightning talk about the Git version control systems. I showed a few (hopefully) lesser known tricks that may prove useful both in everyday workflow and in some exceptional situations.
The slides from this talk are available here. They might be a bit uninformative on their own but I suppose the liberal use of memes can make up for this somewhat ;-)

Ego-Driven Technologies

Last week – while still on the other side of the pond – I attended a meet-up organized by the local Google Developers Group. The meeting included a presentation about Go, aimed mostly at newcomers, which covered the language from the ground up but at very fast pace. This spurred a lot of survey questions, as people evidently wanted to assess the language’s viability in general and fitness for particular domain of applications.
One of them was about web frameworks that are available to use in Go. Answer mentioned few simple, existing ones, but also how people coming from other languages are working to (re)build their favorite ones in Go. The point was, of course, that even though the language does not have its own Django or Rails just yet, it’s bound to happen quite soon.

And that’s when it dawned on me.

See, I wondered for a while now why people are eager to subject themselves to a huge productivity drop (among other hardships) when they switch from one technology, that they are proficient in, to a different but curiously similar one.
Mind you, I’m not talking about exploratory ventures intended to evaluate language X or framework Y by doing one or two non-trivial projects; heck, I do it very often (and you should too). No, I’m talking about all-out switching to a new shiny toy, especially when decided consciously and not through a gradual slanting, in a kind of “best tool for the job” fashion.

Whenever I looked for justification, usually I’d just find a straightforward litany of perks and benefits of $targetTechnology, often having a not insignificant intersection with analogous list for the old one. Add the other, necessary part of risk-benefit calculation – drawbacks – and it just doesn’t balance out. Not by a long shot.

So, I notice that I am confused. There must some be other factor in play, but I couldn’t come up with any candidates – until that day.
As I speculate now, there is actually a big incentive to jump ship whenever a new one appear. And it seems to be one of dirty secrets of the hacker community, because it directly questions the esteemed notion of meritocracy that we are so eager to flaunt.