One of the great features of Kotlin data classes is
their copy
method. But using it can become cumbersome very
quickly, because you need to repeat the name of the field before and after.
data class Person(val name: String, val age: Int)
val p1 = Person("Alex", 1)
val p2 = p1.copy(age = p1.age + 1) // too many 'age'!
This plug-in generates a few new methods that make working with immutable (read-only) types, like data classes and value classes, more convenient.
Those methods can be divided in two big groups:
- Same-type transformations, which take a value of a certain type and produce a copy
of the same type by changing a few fields. Those methods are closer to the
copy
method available in Kotlin. - Isomorphic copy constructors, which produce a value of a different type from the given one, provided that they both contain the same fields. Those methods are very useful when interfacing across different layers of the application.
KopyKat extends Kotlin's built-in copy
with a version based on mutable copies, and a version based on maps (that is,
you state the changes to be done to the values based on the old ones instead of the new values themselves.) In addition,
the default copy
is extended to work on sealed hierarchies and value classes.
This new version of copy
takes a block as a parameter. Within that block, mutability is simulated; the final
assignment of each (mutable) variable becomes the value of the new copy. These are generated for both data classes and
value classes.
val p1 = Person("Alex", 1)
val p2 = p1.copy {
age++
}
You can use old
to access the previous (immutable) value, before any changes.
val p3 = p1.copy {
age++
if (notTheirBirthday) {
age = old.age // get the previous value
}
}
If you have a data class that contains another data class (or value class) as a property, you can also make changes to inner types. Let's say we have these types:
data class Person(val name: String, val job: Job)
data class Job(val title: String, val teams: List<String>)
val p1 = Person(name = "John", job = Job("Developer", listOf("Kotlin", "Training")))
Currently, to do mutate inner types you have to do the following:
val p2 = p1.copy(job = p1.job.copy(title = "Señor Developer"))
With KopyKat you can do this in a more readable way:
val p2 = p1.copy { job.title = "Señor Developer" }
Warning For now, this doesn't work with types that are external to the source code (i.e. dependencies). We are working on supporting this in the future.
The nested mutation also extends to collections, which are turned into their mutable counterparts, if they exist.
val p3 = p1.copy { job.teams.add("Compiler") }
To avoid unnecessary copies, we recommend to mutate the collections in-place as much as possible. This means that
forEach
functions and mutation should be preferred over map
.
val p4 = p1.copy { // needs an additional toMutableList at the end
job.teams = job.teams.map { it.capitalize() }.toMutableList()
}
val p5 = p1.copy { // mutates the job.teams collection in-place
job.teams.forEachIndexed { i, team -> job.teams[i] = team.capitalize() }
}
The at.kopyk:mutable-utils
library (documentation) contains versions of the main collection functions which reuse the same structure.
val p6 = p1.copy { // mutates the job.teams collection in-place
job.teams.mutateAll { it.capitalize() }
}
Instead of new values, copyMap
takes as arguments the transformations that ought to be applied to each argument.
The "old" value of each field is given as argument to each of the functions, so you can refer to it using it
or
introduce an explicit name.
val p1 = Person("Alex", 1)
val p2 = p1.copyMap(age = { it + 1 })
val p3 = p1.copyMap(name = { nm -> nm.capitalize() })
The whole "old" value (the Person
in the example above) is given as receiver to each of the transformations. That
means that you can access all the other fields in the body of each of the transformations.
val p4 = p1.copyMap(age = { name.count() })
When using value classes, given that you only have one property, you can skip the name of the property.
@JvmInline value class Age(ageValue: Int)
val a = Age(39)
val b = a.copyMap { it + 1 }
You can use copyMap
to simulate copy
, by making the transformation return a constant value.
val p5 = p1.copyMap(age = { 10 })
KopyKat also works with sealed hierarchies. These are both sealed classes and sealed interfaces. It generates
regular copy
, copyMap
, and mutable copy
for the common properties, which ought to be declared in the parent class.
abstract sealed class User(open val name: String)
data class Person(override val name: String, val age: Int): User(name)
data class Company(override val name: String, val address: String): User(name)
This means that the following code works directly, without requiring an intermediate when
.
fun User.takeOver() = this.copy { name = "Me" }
Equally, you can use copyMap
in a similar fashion:
fun User.takeOver() = this.copyMap(name = { "Me" })
Or, you can use a more familiar copy function:
fun User.takeOver() = this.copy(name = "Me")
Warning KopyKat only generates these if all the subclasses are data or value classes. We can't mutate object types without breaking the world underneath them. And cause a lot of pain.
KopyKat can also generate the different copy
methods for a type alias.
@CopyExtensions
typealias Person = Pair<String, Int>
// generates the following methods
fun Person.copyMap(first: (String) -> String, second: (Int) -> Int): Person = TODO()
fun Person.copy(block: `Person$Mutable`.() -> Unit): Person = TODO()
The following must hold for the type alias to be processed:
- It must be marked with the
@CopyExtensions
annotation, - It must refer to a data or value class, or a type hierarchy of those.
We know, isomorphic seems like a big word. However, it just means that two things are similar in some way. In this case KopyKat can generate copy constructors between two types that have the same properties, with the same name, and the same type.
In Kotlin, a copy constructor is a top level function with the same name as the type (in PascalCase
)
that returns the given type. This naming pattern is described in the official Kotlin Code
Conventions.
To generate these you have to annotate your types with one of the following:
@Copy
@CopyFrom
@CopyTo
All of them take another type to copy from/to, as a parameter. In the case of @Copy
, it will
generate two functions for both directions. So, if we have code like this:
data class Person(val name: String, val age: Int)
@Copy(Person::class)
data class LocalPerson(val name: String, val age: Int)
The following code is generated:
inline fun Person(from: LocalPerson): Person =
Person(name = from.name, age = from.age)
inline fun LocalPerson(from: Person): Person =
LocalPerson(name = from.name, age = from.age)
These allow to convert from one type to the other and vice versa. This is quite a common pattern used to cross boundaries of the different layers of an application. Often, they are called mappers.
If you don't need either of the copy constructors, you can use either @CopyFrom
or @CopyTo
. @CopyFrom
will
generate a copy constructor from the provided type to the annotated type (LocalPerson -> Person
). On the other hand,
if you use @CopyTo
will generate the oposite (Person -> LocalPerson
).
In some cases you may want to have properties that are different on both types. To support data trees like that, you must make sure that they have copy constructors generated as well. For example:
data class Person(val name: String, val job: Job)
data class Job(val title: String)
@Copy(Person::class) data class LocalPerson(val name: String, val job: LocalJob)
@Copy(Job::class) data class LocalJob(val title: String)
val localPerson = LocalPerson("Alice", LocalJob("Developer"))
val person = Person(localPerson)
check(person.name == "Alice")
check(person.job.title == "Developer")
In this example, if LocalJob
is not annotated wih @Copy
(or @CopyFrom
) the compiler will complain about it.
Annotations for copy constructors (@Copy[From|To]
) can be applied more than once to the same type. This means
that you can define mapping across multiple isomorphic types:
@Copy(LocalPerson::class)
@Copy(RemotePerson::class)
data class Person(val name: String, val age: Int)
data class LocalPerson(val name: String, val age: Int)
data class RemotePerson(val name: String, val age: Int)
This configuration will generate 4 different copy constructors.
This demo project showcases the use of KopyKat alongside version catalogs.
KopyKat builds upon KSP, from which it inherits easy integration with
Gradle. To use this plug-in, add the following in your build.gradle.kts
:
-
Add Maven Central to the list of repositories.
repositories { mavenCentral() }
-
Add KSP to the list of plug-ins. You can check the latest version in their releases.
plugins { id("com.google.devtools.ksp") version "1.7.10-1.0.6" }
-
Add a KSP dependency on KopyKat.
dependencies { // other dependencies ksp("at.kopyk:kopykat-ksp:$kopyKatVersion") }
If you are using Kotlin Multiplatform you need to choose explicitly the compilation targets which need processing. For example, this is how you instruct KSP to run on the files in
commonMain
.dependencies { // other dependencies add("kspCommonMainMetadata", "at.kopyk:kopykat-ksp:$kopyKatVersion") }
-
(Optional) If you are using IntelliJ as your IDE, we recommend you to follow these steps to make it aware of the new code.
By default, KopyKat generates methods for every data and value class, and sealed hierarchies of those. If you prefer
to enable generation for only some classes, this is of course possible. Note that you always require a @CopyExtensions
annotation to process a type alias.
Change the generate
option for the plug-in, by
passing options to KSP.
The packages should be separated by :
, and you can use wildcards, as supported by
wildcardMatch
.
ksp {
arg("generate", "packages:my.example.*")
}
-
Add a dependency to KopyKat's annotation package. Note that we declare it as
compileOnly
, which means there's no trace of it in the compiled artifact.dependencies { // other dependencies compileOnly("at.kopyk:kopykat-annotations:$kopyKatVersion") }
-
Change the
generate
option for the plug-in, by passing options to KSP.ksp { arg("generate", "annotated") }
-
Mark those classes you want KopyKat to process with the
@CopyExtensions
annotation.import at.kopyk.CopyExtensions @CopyExtensions data class Person(val name: String, val age: Int)
You can disable the generation of some of these methods by
passing options to KSP in your Gradle
file. For example, the following block disables the generation of copyMap
.
ksp {
arg("mutableCopy", "true")
arg("copyMap", "false")
arg("hierarchyCopy", "true")
}
By default, the three kinds of methods are generated.
Optics, like the ones provided by Arrow, are a much more powerful abstraction. Apart
from changing fields, optics allow uniform access to collections, possibly-null values, and hierarchies of data classes.
You can even define a single copy
function which works for every
type, instead of relying on generating an implementation for each data type.
KopyKat, on the other hand, aims to be just a tiny step further from Kotlin's built-in copy
. By re-using well-known
idioms, the barrier to introducing this plug-in becomes much lower. Our goal is to make it easier to work with immutable
data classes.