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Is there any better built-in options for achieving the same results as this? (Arrow 2.0, doing input...
# arrow
e
Is there any better built-in options for achieving the same results as this? (Arrow 2.0, doing input validation in a function with type 
EitherNel<CreateInvoiceError, A>
)
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listOfNotNull(
         if (dueDate <= invoiceDate) CreateInvoiceError.InvalidDueDate(invoiceDate, dueDate) else null,
         if (rows.isEmpty()) CreateInvoiceError.NoRows else null,
      ).toNonEmptyListOrNull()?.let { raise(it) }
s
I guess there is this on 
alpha
(planned for 1.2.0(-RC) / 2.0.0). https://github.com/arrow-kt/arrow/blob/main/arrow-libs/core/arrow-core/src/commonMain/kotlin/arrow/core/Iterable.kt#L586 Not sure if it's really better..
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listOfNotNull(
  ...
).flattenOrAccumulate().bind()
Or:
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zipOrAccumulate(
  { ensure(dueDate > invoiceDate) { CreateInvoiceError.InvalidDueDate(invoiceDate, dueDate) } },
  { ensure(rows.isNotEmpty()) { CreateInvoiceError.NoRows } }
) { _, _ -> }
Would also achieve the same thing.
e
What do you think of adding something like this?
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ensureAll {
  ensure(dueDate > invoiceDate) { CreateInvoiceError.InvalidDueDate(invoiceDate, dueDate) } }
  ensure(rows.isNotEmpty()) { CreateInvoiceError.NoRows } }
}
s
Such a DSL could be implemented but it'd be a bit strange 🤔 I.e. 
ensure
would here not be implemented through 
raise
, and would 
raise
(& 
bind
) thus not be available here? I guess we could forbid 
raise
being called inside this nested DSL by using 
@DslMarker
support.
It feels like it breaks sequentiality, which isn't intuitive.
Perhaps 
flattenOrAccumulate().bind()
could exist as 
ensureAll()
.
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listOfNotNull(
  ...
).ensureAll()
e
And I guess it could just be 
listOf
as well, right? 🙂
s
Ye, although I am not getting a bit lost 😅
e
I still struggle a bit with figuring out how to do things "the Arrow way" 😄 so I trust you when you say 
ensureAll {}
doesn't fit. I'll try adding 
ensureAll
as an alias for 
flattenOrAccumulate().bind()
and see how it feels 🙂 many thanks!
s
My pleasure @Emil Kantis ☺️ I wouldn't focus too much on "the Arrow way" 😁 We try to be opinionated, and un-opinionated at the same time 😂 With that I mean that Arrow should not be invasive to your existing programming style, while still enabling all the same patterns/features that you can find in more "hardcore" FP languages as Arrow tried to originally model 6 years ago. I'm going to do another push to get the preview of the new website out today, that is focused around use-case oriented tutorial style documentation 😉 Besides that I think these are the best examples: • Ktor Example • Ktor Example with Context Receivers • Github Alerts Subscriptions • Github Alerts Subscriptions with Context Receivers (Biased I worked on all of them 😅)
d
Just a little ping on something similar I tried to suggest: https://kotlinlang.slack.com/archives/C5UPMM0A0/p1677678003957219
But there I was thinking that optics could make multi-level validation even simpler...
Btw, what's RaiseAccumulate? I saw it in the source code... is it some kind of Raise scope that accumulates instead of short-circuiting on Left?
s
That is not possible due to the signature of 
bind
, but it allows a special DSL that makes 
Validated
obsolete. It's used in APIs 
zipOrAccumulate
and 
mapOrAccumulate
and allows binding both 
E
and 
NonEmptyList<E>
in a singular API whilst providing accumulating behavior.
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listOf(1, 2, 3, 4).mapOrAccumulate { i ->
  when(i) {
    1 -> "Either - $i".left().bind()
    2 -> "EitherNel - $i".leftNel().bindNel()
    3 -> raise("Raise - $i")
  }
} shouldBe nonEmptyListOf("Either - 1", "EitherNel - 2", "Raise - 3").left()
d
Yeah, that's what I meant for 
.validate { ... }
, only that it would work with an object root that has optics on it to simplify validation against deeper values... it seems like 
raise()
in that context DOES accumulate lefts...?
Something like:
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val foo = Foo(...)

val result: Either<Nel<ValidationError>, Foo> = foo.validate { // This could be a RaiseAccumulate scope
   Foo.baz ensureThat({ it == 20 }) { BazError(it) }
   Foo.bar.bara.barb ensureThat({ it.startsWith("something") }) { BarbError(it) }
 } shouldBe nonEmptyListOf(BazError.., BarbError...).left()
a little bit like 
copy { }
also with the ability to use 
inside(...)
just like in 
copy { }
, but for validation...
This could make validating complex structures MUCH more elegant.
s
it seems like 
raise()
in that context DOES accumulate lefts...?
Maybe I misunderstood you but in this case only the first one is accumulated
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listOf(10, 20).mapOrAccumulate {
  raise("fail: $it")
  raise("fail: ${it + 1}")
} // Either.Left(NonEmptyList("fail: 10", "fail: 20"))
d
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shouldBe nonEmptyListOf("Either - 1", "EitherNel - 2", "Raise - 3")
?
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Either.Left(NonEmptyList("fail: 10", "fail: 20"))
it seems like both are there
not just the first one
Or in the former example all three are in the Nel, and raise doesn't just short-circuit the former ones
But adds itself to the Nel
s
Only the first 
raise
is accumulated, otherwise it would be 
Either.Left(NonEmptyList("fail: 10", "fail: 11", "fail: 20", "fail: 21"))
It's not possible for code to continue past 
raise
, or 
bind
. This breaks semantics of sequential imperative coding.
In the case of your DSL, it's possible to implement but only if 
ensureThat
always returns 
Unit
and never returns a result. In contrast of 
raise
and 
bind
, they return respectively 
Nothing
and 
A
.
d
Oh... you mean out of the values in the list... I meant the raises inside the block
s
I'm confused now @dave08.
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listOf(10, 20).mapOrAccumulate { //<- accumulates all "short-circuits"
  raise("fail: $it") // <- this one "short-circuits"
  raise("fail: ${it + 1}") // <- this is never called
} // Either.Left(NonEmptyList("fail: 10", "fail: 20"))
d
I would have though that only Left("fail 10") would be raised and the second one skipped... then my 
validate { }
wouldn't work... I don't mind that 
ensureThat
returns 
Unit
, since the result of 
validate { }
is either a valid object on Right, or all the validation errors on Left....
That's very confusing in mapOrAccumulate, now that I think of it, because Accumulate could mean multiple things 😵‍💫
Oooh, I looked at your example again, it's the opposite of what I thought...!
It short circuits on each value in the list... why?
Why not just accumulate all the errors?
s
It refers to accumulating all 
transform: Raise<E>.(A) -> B
lambdas passed to 
map
, rather than 
map { f(a).bind() }
. In addition it also allows calling 
bindNel
on 
EitherNel<E, A>
.
Why not just accumulate all the errors?
Consider following sequential computation.
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fun Raise<String>.x(): Int = raise("fail")

listOf(...).mapOrAccumulate {
   val x: Int = x()
   ensure(x % 2 == 0) { "$x is not even" }
   x + 1
}
It's not possible to accumulate "fail" and "$x is not even" if the second operation relies on the result of the first one. This completely breaks the semantics of sequential code.
d
So 
bindNel()
is what I was thinking of, and it doesn't have that problem?
s
I think you want this:
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listOf(1, 2).mapOrAccumulate {
  if(it == 1) {
     "fail-1".left().bind() // <-- short-circuits "current op"
     "fail-1".left().bind() // this is not accumulated
  } else {
    listOf("fail-2".left(), "fail-2".left()).bindAll() // both get accumulated
  }
} // Either.Left(NonEmptyList("fail-1", "fail-2", "fail-2"))
Where you can define non-sequential validations, and get all of them?
You can also do:
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listOf(
  "fail-1".left(),
  "fail-2".left()
).flattenOrAccumulate()

// Either.Left(NonEmptyList("fail-1", "fail-2"))
bindNel
is used to combine 
Either<NonEmptyList<E>, A>
which is the result of these operations, so you can conveniently split -and compose smaller and bigger pieces of a very large validation program.
d
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listOf("fail-2".left(), "fail-2".left()).bindAll()
is that supposed to be 
bindNel()
?
s
No, those are still a bit different.
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val x: Either<NonEmptyList<String>, Int> = listOf(1, 2, 3, 4).mapOrAccumulate {
  ensure(it % 2 == 0) { "$it is not even" }
} // Either.Left(NonEmptyList("1 is not even", "3 is not even"))

listOf(1, 2).mapOrAccumulate {
  if(it == 1) x.bindNel()
  else listOf("fail-2".left(), "fail-2".left()).bindAll()
} // Either.Left(NonEmptyList("1 is not even", "3 is not even", "fail-2", "fail-2"))
d
So I guess my 
validate { }
wouldn't be able to use any of all that... do you think it would be a good idea to add to Arrow? If not, how WOULD I implement it?
Short of validate(vararg...)
A DSL would be a bit easier to work with
s
I can share a small snippet with an implementation after lunch 👍
f
late to the party but in the past I've used applicative of Option to turn a list of Option<Foo> into either a list of Foo, or, if a single Option is empty, an empty list could the same not be an alternative for this use case? 🤔 I don't have the code in front of me but unless I'm misremembering it wasn't ugly or opaque
s
That was probably something like:
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val x: List<Int> =
  listOf(1.some(), 2.some(), none<Int>())
    .sequence(Option.applicative())
    .getOrElse { emptyList() }
You can do the same with 
Validated
or with the new APis 
flattenOrAccumulate
.
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val x: List<Int> =
  listOf(1.right(), 2.right(), "fail-1".left(), "fail-2".left())
    .flattenOrAccumulate()
    .onLeft(::println) // NonEmptyList("fail-1", "fail-2")
    .getOrElse { _: NonEmptyList<String> -> emptyList() }
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