Tired of manually setup test data of Kotlin data classes or POJOs? Instantiator creates Instances of any class for you so that you can focus on writing tests instead of spending time and effort to set up test data.
This is not a mocking library. When saying that Instantiator can create an instance of any class for you, I'm referring to data classes or POJOs, not mock functionality.
It doesn't use any black magic. It uses reflection and invokes the public primary constructors. If there is no public primary constructor available, then Instantiator cannot instantiate it.
testImplementation 'com.hannesdorfmann.instantiator:instantiator:1.0.0'
or SNAPSHOT (directly built from main branch):
testImplementation 'com.hannesdorfmann.instantiator:instantiator:1.0.1-SNAPSHOT'
Assuming you have some data structures like this
data class Person(
val id: String,
val firstname: String,
val lastname: String,
val age: Int,
val gender: Gender
)
enum class Gender {
MALE,
FEMALE,
UNDEFINED
}
fun computeFullname(p: Person): String {
return "${p.firstname} ${p.lastname}"
}And you want to write some (unit) tests to test some functionality you often have to manually set up some object instances just for testing. This is where Instantiator comes in: it creates such instances for you.
@Test
fun someTest() {
val person: Person =
instance() // instance() is Instantiator's API. It creates a new instance of Person with random values.
// Now that you have some random Person object
// you can do with it whatever you want
val expected = "${person.firstname} ${person.lastname}"
val fullname = computeFullname(person)
assertEquals(expected, fullname)
}Bonus:
if you want to get an instance for each subclass of a sealed class hierarchy use instantiateSealedSubclasses() like
this:
sealed class Root
data class A(i: Int) : Root()
data class B(i: Int) : Root()
sealed class NestedRoot : Root()
data class N1(i: Int) : NestedRoot()
val subclassesInstances: List<Root> = instantiateSealedSubclasses()
println(subclasses) // contains 3 instances and prints "A, B, N1"| Type | Support | Note and default behavior description |
|---|---|---|
data class |
✅️ | invokes primary constructor and fills parameter with random values. This works incl. other types: i.e. data class Foo( id : Int, bar : Bar). Instantiator will also instantiate a Bar instance to eventually instantiate Foo |
class |
✅️ | works the same as data class. |
sealed class |
✅ | randomly creates an instance by randomly picking a subclass of the sealed class hierarchy and then instantiates this one (meaning what is written in the rows above about support for data class or class still holds). Additionally, if you want to have a full list of instances of all subclasses of a sealed class hierarchy use val subclassesInstances : List<SomeSealedClass> = instantiateSealedSubclasses(). |
sealed interface |
✅ | works exactly the same way as sealed class (see above). |
object |
✅ | Objects / Singleton are supported and it will return exactly that one object instance that already exists (not instantiate via generics another instance of the same object so having 2 with different memory address). |
interface |
❌️ | Not supported out of the box because by using reflections there is no straight forward way (apart from class path scanning which is not implemented at the moment) to find out which class implements an interface. |
abstract class |
❌️ | same reason as for interface (see above). |
enum |
✅️ | fully supported. It randomly picks one case and returns it. |
List |
✅️ | List and MutableList are supported in class constructors. i.e. in instance of AdressBook can be instantiated: data class AdressBook(val persons : List<Person>) but you can also directly request an instance with val persons : List<Person> = instance(). |
Set |
✅️ | Set and MutableSet are supported in class constructors. i.e. in instance of AdressBook can be instantiated: data class AdressBook(val persons : Set<Person>) but you can also directly request an instance with val persons : Set<Person> = instance() |
Map |
✅️ | Map and MutableMap are supported in class constructors. i.e. in instance of PhoneBook can be instantiated: data class PhoneBook(val phoneNumbers : Map<Person, PhoneNumber>) but you can also directly request an instance with val phoneBook : Map<Person, PhoneNumber>> = instance() |
Collection |
✅️ | Collection and MutableCollection are supported in class constructors. i.e. in instance of AdressBook can be instantiated: data class AdressBook(val persons : Collection<Person>) but you can also directly request an instance with val persons : Collection<Person>> = instance() |
Pair |
✅️ | supported in class constructors and directly in request |
Triple |
✅️ | supported in class constructors and directly in request |
Int |
✅️ | random number is returned |
Long |
✅️ | random number is returned |
Float |
✅️ | random number is returned |
Double |
✅️ | random number is returned |
Short |
✅️ | random number is returned |
String |
✅️ | random string with default length of 10 characters is returned. Pool of chars that is used to compute random string is a..z + A..Z + 0..9. |
Char |
✅️ | random char is returned from the following pool of chars: a..z + A..Z + 0..9. |
Boolean |
✅️ | randomly returns true or false |
Byte |
✅️ | randomly creates one byte and returns it |
java.util.Date |
✅️ | randomly creates a Date |
java.time.Instant |
✅️ | randomly creates a Instant |
java.time.LocalDateTime |
✅️ | randomly creates a LocalDateTime in a random ZoneId |
java.time.LocalDate |
✅️ | same as LocalDateTime |
java.time.LocalTime |
✅️ | same as LocalDateTime |
java.time.ZonedDateTime |
✅️ | same as LocalDateTime |
java.time.OffsetDateTime |
✅️ | same as LocalDateTime |
java.time.OffsetTime |
✅️ | same as LocalDateTime |
You can configure Instantiator by passing a InstantiatorConfig instance as parameter
to instance(config : InstantiatorConfig) or instantiateSealedSubclasses(config : InstantiatorConfig).
Some settings that you can set:
InstantiatorConfig.useDefaultArguments: Set it totrueif you want that the default arguments of constructor parameters are used if provided. For example, givendata class MyClass(val id : Int, val name : String = "Barbra"), ifconfig.useDefaultArguments = truethen the parameternameof any instance will bename="Barbra"and onlyidwhich has no default argument set will be filled with random value. Default value of the default config is thatInstantiatorConfig.useDefaultArguments = true.InstantiatorConfig.useNull: Set it totrueif for constructor parameters that can benull,nullis actually the value without even asking anInstanceFactoryto create an instance. This is a shortcut that ensures alwaysnull, for example: givendata class MyClass(val id : Int?), ifconfig.useNull = truethen instance will look likeMyClass( id = null). Ifconfig.useNull = falsethenInstanceFactorwill be called to decide if a null or non-null value is returned. Default value of default config isInstantiatorConfig.useNull = trueInstantiatorConfig.random: This random is passed to allInstanceFactoriesand is used by them to randomly create values. Pass a seededRandom, i.e.Random(0), to ensure always the same random values are generated.
As you see there are multiple configuration that impact value creation: config.useDefaultArguments, config.useNull and InstanceFactory.
The order and priority internally in Instantiator is the following:
config.useDefaultArguments = trueis used first. So if set to true, then default values are used.config.useNull = trueis used as second. So ifuseDefaultArguments = falseanduseNull = truethen all optional parameters are filled withnull.InstanceFactoryis used as last. So ifuseDefaultArguments = falseanduseNull = falsethenInstanceFactoryfor the given type then is asked to instantiate a value.
class Foo(val i: Int? = 42)
val foo = instance<Foo>()
println(foo.i) // prints 42InstantiatorConfig takes as a constructor parameter vararg factories: InstanceFactory.
An InstanceFactory is used to create an instance in case an unsupported build-in type needs to be instantiated
(see supported types table above) or if you want to override how primitive types are instantiated.
The way how Kotlin's reflection and type system work is that there is a difference between i.e Int and Int? (so null and non-null types).
That is the reason why two different InstanceFactory exist:
interface NonNullableInstanceFactory<T> : InstanceFactory: This factory returns anon-nullvalue.interface NullableInstanceFactory<T> : InstanceFactory: This factory can return anon-nullornullvalue. It's up to the instance factory to decide (i.e. by using the Random).
class MyIntInstanceFactory : InstantiatorConfig.NonNullableInstanceFactory<Int> {
override val type: KType = Int::class.createType()
override fun createInstance(random: Random): Int = 42
}
class MyDateInstanceFactory : InstantiatorConfig.NullableInstanceFactory<Calendar> {
override val type: KType = Calendar::class.createType(nullable = true)
override fun createInstance(random: Random): Date? = if (random.nextBoolean()) null else Date()
}
data class Foo(val i : Int, val date : Date?)
val config = InstantiatorConfig(useNull = false, MyIntInstanceFactory(), MyCalendarInstanceFactory())
val foo = instance<Foo>(config)
println(foo.i) // i == 42
println(foo.date) // can be null or current Date Please note that unless you explicitly need a very custom behavior for null values of a specific type
there is no need to create a subclass of NullableInstanceFactory.
Just create a NonNullableInstanceFactory, add it to your InstantiatorConfig and Instantiator does
automatically create a NullableInstanceFactory out of it under the hood
(uses NonNullableInstanceFactory.toNullableInstanceFactory()).
InstantiatorConfig is immutable. You can add an InstanceFactory with
the val newConfig : InstantiatorConfig = existingInstantiatorConfig.add(myCustomFactoy)