A slightly better starting point for scala 3 + type-safe server building is tapir e.g. https://github.com/softwaremill/tapir/blob/master/examples3/... . With that, you get a declarative definition of your endpoints (+ error types, auth, etc.) that you can use for both servers and clients, which comes very handy when writing integration tests of course.
> absolutely ridiculous the fetishization of extremely complex FP and type-level hacking that goes on in the ecosystem
An alternative way to look at it is that there is a lot of essential domain complexity that gets encoded via the type system to let the compiler do the hard work. That "extremely complex FP" does not arrive out of nowhere - I really recommend at least skimming through the slides from rossabaker, the http4s designer, that motivate where the core type signature comes from https://rossabaker.github.io/boston-http4s/#2
I suppose one of the "features" that I like about the (typelevel) community is that the approach of "worse is better" is not taken, and a lot of effort is expended to make things correct, modular and orthogonal. This has the drawback of increased upfront complexity, that anecdotally pays off the moment your compiler does not error and the program runs as intended.
I am not a scala user but this sounds like a serious violation of composability (ironically), for something so ubiquitous as http. I don't really mind advanced features being available for power users, or later optimizations, but I really dislike being forced to make a mutually exclusive decision between simple and performant, early in the project lifecycle.
I think Rust unfortunately often falls in this category as well with async and multiple http libraries, and even the inofficial doctrine of deferring ownership decisions for later.
In Go there's basically one way to do things, and the few more advanced things you can do can be opted into later. I assume this is a quality inherited from C, and it's extremely pragmatic and creates a composable ecosystem.
But other than that, running a simple hello-world service with http4s really isn't that hard.
object Main extends StreamApp[IO] {
val helloWorldService = HttpService[IO] {
case GET -> Root / "hello" / name => Ok(s"Hello, $name.")
}
override def stream(args: List[String], requestShutdown: IO[Unit]) =
BlazeBuilder[IO]
.bindHttp(8080, "localhost")
.mountService(helloWorldService, "/")
.serve
}
Yeah, there are a couple of things that are more complex than with other simple webservers. For instance, what is the "IO" thing doing there? Well, http4s flexibly allows you to choose different libraries for handling concurrency without even knowing those libraries. Very few other programming languages are even powerful enough to support something like that, so it obviously confuses people.And then you need a StreamApp (there are other alternatives but that's the one from the documentation) and people might wonder why - they want a simple request/response webservice and nothing "streaming".
Other than that, I don't think the code is overly complicated.
The type-magic style of development is so different from what I'm used to, I have periodic crises of conscience where I wonder if I've been doing programming wrong all these years, or if it's an example of a community barking up the wrong tree. This thinking is also what prompts me to look into APL/J/K every so often.
The last time I really tried to get into hardcore FP programming was several years ago with Haskell, but even then I don't recall Yesod (the web framework I tried out, akin to http4s here) being quite so overwhelming.
[0] https://hackage.haskell.org/package/servant
[1] https://hackage.haskell.org/package/snap
[2] https://hackage.haskell.org/package/scotty
Shortly after Elm, I discovered the array languages via J, and felt like I finally found a style of programming that fit my brain properly. Immutable by default, rank-polymorphic, and extremely powerful. Terseness is a feature - when you can write the same program in 1/100 of the code (not an exaggeration), you can explore alternative approaches quickly and find bugs more easily. On the other hand, there's no compiler or fancy type system to find bugs for you, so terseness is also kind of necessary.
Today I'd recommend array language newbies to try BQN or K first. BQN has some features that other array languages surprisingly lack (closures, modules), and only a few idiosyncratic design choices (unlike J which is very weird). K is pragmatic (it has dictionaries and tables!) and is ascii-based, but it has an almost Forth-like minimalism. For someone used to 'import xyz' style programming it's a jarring transition.
It is a NOT a library that you should start out with when you learn Scala, unless you have a mentor.
I think for you, cask was the right choice and it's good that you found it.
When I first learned of FP about 20 years ago I thought it was a terrible idea. But I've convinced myself I have been proven wrong time and time again.
I still think sometime it's complexity for its own sake. Eg. why is it so hard to define a monad? But I enjoyed parts of Scala 2 and later Rust. There are good ideas in FP that lead to programs that are easier to reason about and manage complexity. Languages are borrowing these good ideas and I'm happier for it, algebraic data types, pattern matching and destructuring, result/either, immutability, etc
Scala 2 is still getting regular updates so there's no rush to use 3 just yet, I'd recommend picking the framework first and using the Scala version they support. That makes the development experience much better with access to much easier to use frameworks like play or finatra.
But it turns out there's an alrernative. Tapir is emerging as that "pure FP, but approachable" HTTP framework. It allows developers to work at a higher level, turning the HTTP backend into an implementation detail. Simply define the application using Tapir, then choose the better backend for the use case.