The “Single Responsibility Principle” (SRP) sounds so noble. But I’m afraid it’s misunderstood and misapplied. Ask your teammates: “What is the Single Responsibility Principle?” Go ahead, ask them. Then ask if the SRP is a good thing or a bad thing. I’d bet many of them will say something like this: “In principle, it’s a good idea. But in practice, it’s overkill.”
On Twitter, Chris Eidhof pointed to an example of taking the Single Responsibility Principle too far. Specifically, Chris was unhappy with the argument that Singletons violate the SRP because, besides their main responsibility, they also manage their own life cycle:
This argument against singletons made me cringe (specifically, the SRP point): https://t.co/C9wVVnqHFs
— Chris Eidhof (@chriseidhof) June 29, 2017
This led to a lively discussion. Many reacted against “over-architecture.” No doubt they experienced fragmented code that grew from over-zealous attempts at SRP.
I think that SRP isn’t just over-applied. It’s fundamentally misunderstood, even misquoted. The repeated misquotes perpetuate that misunderstanding.
Let’s see if we can clear things up, and point to a better way.
Refactoring. It’s a word I hear quite a bit. Usually, in the context of conversations with management, it means, “Rewriting that thing. Hopefully without introducing bugs.” Often, among developers, it means, “One of the options in the Refactoring menu in my IDE.”
Code that’s easier to understand, maintain, and extend — that’s the promise of Object-Oriented Programming. But the reality for many iOS developers is that our objects are bloated. They know too much, and do too much. What if our code has hidden objects, waiting to be found?
Each hidden object could provide a new abstraction, a new tool. They could make the code more manageable. Is there a way to discover these hidden objects? Domain Driven Design (DDD) provides a way.Continue reading
How can we unit test JSON parsing, handling every possible error? Can we generate immutable models? And for Swift, how can we keep our Response Models free of optionals?
Of course, there areb many JSON parsing libraries out there. Plug one in, define all fields as non-optional, and you’re good to go! …Until your app crashes, because something was different in the actual JSON data.
Unlikely? “The backend team would never do that to us”? I’ve had a released app crash because the backend folks changed one field from a string to an integer. I’ve seen app development and QA forced to pause because a commit assumed all fields were non-optional. (It crashed on the missing field, because Swift.)
So let’s look at a pattern that will help us
Even if you never plan to do your own parsing, we’ll learn things along the way about design and testing.
When you’re new to Test-Driven Development, there’s a strong tendency to continue writing code the way you used to. Then you step back and ask, “But how can you unit test this? TDD is so impractical!”
Almost always, my answer is: “Then don’t write it like that.”
Apple recently published a blog post, Working with JSON in Swift. I was looking for tips on Swift JSON parsing, and found the beginning of the article quite helpful. But it took a bad turn at the end…
You face a problem with your code. Maybe something is bugging you about the design approach. Or maybe you’re just plain stuck. What can you do to break through a mental block?
During one job interview, I remember asking how the candidate approached problem solving. That candidate’s answer has stuck with me over the years:
I’ve been TDDing the “fetch characters” network request to the Marvel Comics API. But I’m anxious to see it work in a full round-trip to the actual Marvel server. Basically, I don’t want to go long without end-to-end feedback. How can I get the feedback I need to validate the current code?
Answer: Quickly hack together any way that works.
A Value Object is a handy way to combine multiple values in a single object. It sounds simple — you just make each value a property, right? Well, there’s usually more to it than that. There’s even an entire objc.io article about Value Objects. …So how do you define a new Value Object?
I believe in laziness. Let’s do as little work as possible!
Objects are like horses. The less they know about their chaotic surroundings, the easier it is to control them.
We don’t want our objects to be spooked when there’s a lot going on. So let’s build ignorance into our systems.
But how? We typically write mobile apps with these things at the center:
When you’re hiking and don’t know which way to go, what should you do? Stop. Get your bearings.
The same applies to Test Driven Development; sometimes you need to stop doing TDD, and get some answers.
Those answers can come by switching from clean code to a style of quick-and-dirty hacking called a “spike solution.” I explained the basic idea in How to TDD the Unknown with a Spike Solution.
But what does it look like in practice?