Think back to the last time you looked at an unfamiliar block of code. Did you immediately understand what it was doing? If not, you’re not alone – many software developers, including myself, find it challenging to grasp unfamiliar code quickly…
I would argue that the validate routines be their own classes; ie UserInputValidator, UserPasswordValidator, etc. They should conform to a common interface with a valid() method that throws when invalid. (I’m on mobile and typed enough already).
“Self-documenting” does not mean “write less code”. In fact, it means the opposite; it means be more verbose. The trick is to find that happy balance where you write just enough code to make it clear what’s going on (that does not mean you write long identifier names (e.g., getUserByEmail(email) vs. getUser(email) or better fetchUser(email)).
Be consistent:
get* and set* should be reserved for working on an instance of an object
is* or has* for Boolean returns
Methods/functions are verbs because they are actionable; e.g., fetchUser(), validate(), create()
Do not repeat identifiers: e.g., UserService.createUser()
Properties/variables are not verbs; they are state: e.g., valid vs isValid
Especially for JavaScript, everything is const unless you absolutely have to reassign its direct value; I.e., objects and arrays should be const unless you use the assignment operator after initialization
All class methods should be private until it’s needed to be public. It’s easier to make an API public, but near impossible to make it private without compromising backward compatibility.
Don’t be afraid to use if {} statements. Short-circuiting is cutesy and all, but it makes code more complex to read.
Delineate unrelated code with new lines. What I mean is that jamming all your code together into one block makes it difficult to follow (like run-on sentences or massive walls of text). Use new lines and/or {} to create small groups of related code. You’re not penalized for the white space because it gets compiled away anyway.
There is so much more, but this should be a good primer.
I would argue that the validate routines be their own classes; ie UserInputValidator, UserPasswordValidator, etc.
I wouldn’t. Not from this example anyway. YAGNI is an important paradigm and introducing plenty of classes upfront to implement trivial checks is overengineering typical for Java and the reason I don’t like it.
Edit: Your naming convention isn’t the best either. I’d expect UserInputValidator to validate user input, maybe sanitize it for a database query, but not necessarily an existence check as in the example.
I wouldn’t. Not from this example anyway. YAGNI is an important paradigm and introducing plenty of classes upfront to implement trivial checks is overengineering…
Classes, functions, methods… pick your poison. The point is to encapsulate your logic in a way that is easy to understand. Lumping all of the validation logic into one monolithic block of code (be it a single class, function, or methods) is not self-documenting. Whereas separating the concerns makes it easier to read and keep your focus without mixing purposes. I’m very-engineering (imo) would be something akin to creating micro services to send data in and get a response back.
Edit: Your naming convention isn’t the best either. I’d expect UserInputValidator to validate user input, maybe sanitize it for a database query, but not necessarily an existence check as in the example.
If you go back to my example, you’ll notice there is a UserUniqueValidator, which is meant to check for existence of a user.
And if you expect a validator to do sanitation, then your expectations are wrong. A validator validates, and a sanitizer sanitizes. Not both.
For the uninitiated, this is called Separation of Concerns. The idea is to do one thing and do it well, and then compose these things together to make your program — like an orchestra.
This is abuse of the separation of concerns concepts IMO. You have taken things far too far many made it far less readable overall. The main concern here is password validation - and the code already separated this out from other code. By separating out each check you are just violating another principal - locality of behavior which says related things should be located close to each other. This makes things far easier to read and see what is actually going on without needing to jump through several classes/functions of abstraction.
We need to stop trying to break everything down into the smallest possibly chunks we can. It is fine for a few lines of related code to live in the same function.
If you go back to my example, you’ll notice there is a UserUniqueValidator, which is meant to check for existence of a user.
Oops, right, I just glanced over the code and obviously missed the text and code had different class names. Another smell in my opinion, choosing class names that only differ in the middle. Easily missed and confusion caused.
I don’t think our opinions are too far off though. You’re just scaling the validation logic to realistic levels and I warn that in practice coders extrapolate too quickly and too often, which results in too much generic code which is naturally harder to understand and maintain than specific code.
More or less the same but the user gets passed as a method parameter each time. Validators would be in my opinion a long function inside the service also with named variables like this because it’s just easy to read and there are no surprises. I’d probably refactor it at around 5 conditions or 30 lines of validation logic.
I recommend trying out using the constructor in services for tools such as a database and methods for data such as user. It will be very easy to use everywhere and for many users and whatever
const passwordIsValid = ...
if (!passwordIsValid){
return whatever
}
async function createUser(user) { validateUserInput(user) || throwError(err.userValidationFailed); isPasswordValid(user.password) || throwError(err.invalidPassword); !(await userService.getUserByEmail(user.email)) || throwError(err.userExists); user.password = await hashPassword(user.password); return userService.create(user); }
Or
async function createUser(user) { return await (new UserService(user)) .validate() .create(); } // elsewhere… const UserService = class { #user; constructor(user) { this.user = user; } async validate() { InputValidator.valid(this.user); PasswordValidator.valid(this.user.password); !(await UserUniqueValidator.valid(this.user.email); return this; } async create() { this.user.password = await hashPassword(this.user.password); return userService.create(this.user); } }
I would argue that the validate routines be their own classes; ie
UserInputValidator
,UserPasswordValidator
, etc. They should conform to a common interface with avalid()
method that throws when invalid. (I’m on mobile and typed enough already).“Self-documenting” does not mean “write less code”. In fact, it means the opposite; it means be more verbose. The trick is to find that happy balance where you write just enough code to make it clear what’s going on (that does not mean you write long identifier names (e.g.,
getUserByEmail(email)
vs.getUser(email)
or betterfetchUser(email)
).Be consistent:
get*
andset*
should be reserved for working on an instance of an objectis*
orhas*
for Boolean returnsfetchUser()
,validate()
,create()
UserService.createUser()
valid
vsisValid
const
unless you absolutely have to reassign its direct value; I.e., objects and arrays should beconst
unless you use the assignment operator after initializationif {}
statements. Short-circuiting is cutesy and all, but it makes code more complex to read.{}
to create small groups of related code. You’re not penalized for the white space because it gets compiled away anyway.There is so much more, but this should be a good primer.
I wouldn’t. Not from this example anyway. YAGNI is an important paradigm and introducing plenty of classes upfront to implement trivial checks is overengineering typical for Java and the reason I don’t like it.
Edit: Your naming convention isn’t the best either. I’d expect
UserInputValidator
to validate user input, maybe sanitize it for a database query, but not necessarily an existence check as in the example.Classes, functions, methods… pick your poison. The point is to encapsulate your logic in a way that is easy to understand. Lumping all of the validation logic into one monolithic block of code (be it a single class, function, or methods) is not self-documenting. Whereas separating the concerns makes it easier to read and keep your focus without mixing purposes. I’m very-engineering (imo) would be something akin to creating micro services to send data in and get a response back.
If you go back to my example, you’ll notice there is a
UserUniqueValidator
, which is meant to check for existence of a user.And if you expect a validator to do sanitation, then your expectations are wrong. A validator validates, and a sanitizer sanitizes. Not both.
For the uninitiated, this is called Separation of Concerns. The idea is to do one thing and do it well, and then compose these things together to make your program — like an orchestra.
This is abuse of the separation of concerns concepts IMO. You have taken things far too far many made it far less readable overall. The main concern here is password validation - and the code already separated this out from other code. By separating out each check you are just violating another principal - locality of behavior which says related things should be located close to each other. This makes things far easier to read and see what is actually going on without needing to jump through several classes/functions of abstraction.
We need to stop trying to break everything down into the smallest possibly chunks we can. It is fine for a few lines of related code to live in the same function.
Oops, right, I just glanced over the code and obviously missed the text and code had different class names. Another smell in my opinion, choosing class names that only differ in the middle. Easily missed and confusion caused.
I don’t think our opinions are too far off though. You’re just scaling the validation logic to realistic levels and I warn that in practice coders extrapolate too quickly and too often, which results in too much generic code which is naturally harder to understand and maintain than specific code.
I like the service but the constructor parameter is really bad and makes the methods less reusable
That’s fair. How would you go about implementing the service? I always love seeing other people’s perspectives. 😊
More or less the same but the user gets passed as a method parameter each time. Validators would be in my opinion a long function inside the service also with named variables like this because it’s just easy to read and there are no surprises. I’d probably refactor it at around 5 conditions or 30 lines of validation logic.
I recommend trying out using the constructor in services for tools such as a database and methods for data such as user. It will be very easy to use everywhere and for many users and whatever
const passwordIsValid = ... if (!passwordIsValid){ return whatever }
Oof found the Java developer. No thanks.