how can I set properties of a dataclass by its name. For example, I have a raw HTTP GET response
propA=valueA
propB=valueB
and a data class in Kotlin
data class Test(var propA: String = "", var propB: String = ""){}
in my code i have an function that splits the response to a key value array
val test: Test = Test()
rawResp?.split('\n')?.forEach { item: String ->
run {
val keyValue = item.split('=')
TODO
}
}
In JavaScript I can do the following
response.split('\n').forEach(item => {
let keyValue = item.split('=');
this.test[keyValue[0]] = keyValue[1];
});
Is there a similar way in Kotlin?
You cannot readily do this in Kotlin the same way you would in JavaScript (unless you are prepared to handle reflection yourself), but there is a possibility of using a Kotlin feature called Delegated Properties (particularly, a use case Storing Properties in a Map of that feature).
Here is an example specific to code in your original question:
class Test(private val map: Map<String, String>) {
val propA: String by map
val propB: String by map
override fun toString() = "${javaClass.simpleName}(propA=$propA,propB=$propB)"
}
fun main() {
val rawResp: String? = """
propA=valueA
propB=valueB
""".trimIndent()
val props = rawResp?.split('\n')?.map { item ->
val (key, value) = item.split('=')
key to value
}?.toMap() ?: emptyMap()
val test = Test(props)
println("Property 'propA' of test is: ${test.propA}")
println("Or using toString: $test")
}
This outputs:
Property 'propA' of test is: valueA
Or using toString: Test(propA=valueA,propB=valueB)
Unfortunately, you cannot use data classes with property delegation the way you would expect, so you have to 'pay the price' and define the overridden methods (toString, equals, hashCode) on your own if you need them.
By the question, it was not clear for me if each line represents a Test instance or not. So
If not.
fun parse(rawResp: String): Test = rawResp.split("\n").flatMap { it.split("=") }.let { Test(it[0], it[1]) }
If yes.
fun parse(rawResp: String): List<Test> = rawResp.split("\n").map { it.split("=") }.map { Test(it[0], it[1]) }
For null safe alternative you can use nullableString.orEmpty()...
Related
I have used the memberExtensionProperties() method, but result collection of the extension properties is empty. The test code is attached. What is the right procedure?
class ExtensionPropertyTest {
class DummyClass{}
val DummyClass.id get() = 99
val DummyClass.name get() = "Joe"
#Test
fun testExtensionProperties() {
val dummyClass = DummyClass()
expect(dummyClass.id).toEqual(99) // OK
val properties = DummyClass::class.memberExtensionProperties
.stream()
.toList()
expect(properties).toHaveSize(2) // Fails due a zero size
}
}
memberExtensionProperties does not return extensions over a class, but its members that are at the same time extensions:
fun main() {
println(DummyClass::class.memberExtensionProperties)
}
class DummyClass {
val String.foo: Int
get() = toInt()
}
It is not that easy if at all possible to find all extensions over a class, because extensions are detached from their receivers and they can be located anywhere in the classpath.
I have a situation where I need to create a copy of data class object. I don't know in advance which of the many data classes I have will come in into the function. I do know, however, that only data classes will be used as input to this function.
This is what didn't work:
fun doSomething(obj: Any): Any {
obj.copy(...) // <- there's no 'copy' on Any
...
}
This is what I really like to do:
fun doSomething(obj: KAnyDataClass): KAnyDataClass {
obj.copy(...) // <- works, data classes have a 'copy' method
...
}
I'm not a Kotlin developer, but it looks like the language does not support dynamic dispatch or traits. You might find success with the dynamic type, which just turns off the type-checker so it won't yell at you for using a method that it doesn't know about. However this opens up the possibility of a runtime error if you pass an argument that actually doesn't have that method.
There is no class or interface for data classes, but we know from the documentation of data classes that there are derived functions componentN and copy in each data class.
We can use that knowledge to write an abstract copy method that calls the copy method of a given arbitrary data class using reflection:
fun <T : Any> copy(data: T, vararg override: Pair<Int, Any?>): T {
val kClass = data::class
if (!kClass.isData) error("expected a data class")
val copyFun = kClass.functions.first { it.name == "copy" }
checkParameters(override, kClass)
val vals = determineComponentValues(copyFun, kClass, override, data)
#Suppress("UNCHECKED_CAST")
return copyFun.call(data, *vals) as T
}
/** check if override of parameter has the right type and nullability */
private fun <T : Any> checkParameters(
override: Array<out Pair<Int, Any?>>,
kClass: KClass<out T>
) {
override.forEach { (index, value) ->
val expectedType = kClass.functions.first { it.name == "component${index + 1}" }.returnType
if (value == null) {
if (!kClass.functions.first { it.name == "component${index + 1}" }.returnType.isMarkedNullable) {
error("value for parameter $index is null but parameter is not nullable")
}
} else {
if (!expectedType.jvmErasure.isSuperclassOf(value::class))
error("wrong type for parameter $index: expected $expectedType but was ${value::class}")
}
}
}
/** determine for each componentN the value from override or data element */
private fun <T : Any> determineComponentValues(
copyFun: KFunction<*>,
kClass: KClass<out T>,
override: Array<out Pair<Int, Any?>>,
data: T
): Array<Any?> {
val vals = (1 until copyFun.parameters.size)
.map { "component$it" }
.map { name -> kClass.functions.first { it.name == name } }
.mapIndexed { index, component ->
override.find { it.first == index }.let { if (it !== null) it.second else component.call(data) }
}
.toTypedArray()
return vals
}
Since this copy function is generic and not for a specific data class, it is not possible to specify overloads in the usual way, but I tried to support it in another way.
Let's say we have a data class and element
data class Example(
val a: Int,
val b: String,
)
val example: Any = Example(1, "x")
We can create a copy of example with copy(example) that has the same elements as the original.
If we want to override the first element, we cannot write copy(example, a = 2), but we can write copy(example, 0 to 2), saying that we want to override the first component with value 2.
Analogously we can write copy(example, 0 to 3, 1 to "y") to specify that we want to change the first and the second component.
I am not sure if this works for all cases since I just wrote it, but it should be a good start to work with.
I'm trying to build a class where certain values are Observable but also Serializable.
This obviously works and the serialization works, but it's very boilerplate-heavy having to add a setter for every single field and manually having to call change(...) inside each setter:
interface Observable {
fun change(message: String) {
println("changing $message")
}
}
#Serializable
class BlahVO : Observable {
var value2: String = ""
set(value) {
field = value
change("value2")
}
fun toJson(): String {
return Json.encodeToString(serializer(), this)
}
}
println(BlahVO().apply { value2 = "test2" })
correctly outputs
changing value2
{"value2":"test2"}
I've tried introducing Delegates:
interface Observable {
fun change(message: String) {
println("changing $message")
}
#Suppress("ClassName")
class default<T>(defaultValue: T) {
private var value: T = defaultValue
operator fun getValue(observable: Observable, property: KProperty<*>): T {
return value
}
operator fun setValue(observable: Observable, property: KProperty<*>, value: T) {
this.value = value
observable.change(property.name)
}
}
}
#Serializable
class BlahVO : Observable {
var value1: String by Observable.default("value1")
fun toJson(): String {
return Json.encodeToString(serializer(), this)
}
}
println(BlahVO().apply { value1 = "test1" }) correctly triggers change detection, but it doesn't serialize:
changing value1
{}
If I go from Observable to ReadWriteProperty,
interface Observable {
fun change(message: String) {
println("changing $message")
}
fun <T> look(defaultValue: T): ReadWriteProperty<Observable, T> {
return OP(defaultValue, this)
}
class OP<T>(defaultValue: T, val observable: Observable) : ObservableProperty<T>(defaultValue) {
override fun setValue(thisRef: Any?, property: KProperty<*>, value: T) {
super.setValue(thisRef, property, value)
observable.change("blah!")
}
}
}
#Serializable
class BlahVO : Observable {
var value3: String by this.look("value3")
fun toJson(): String {
return Json.encodeToString(serializer(), this)
}
}
the result is the same:
changing blah!
{}
Similarly for Delegates.vetoable
var value4: String by Delegates.vetoable("value4", {
property: KProperty<*>, oldstring: String, newString: String ->
this.change(property.name)
true
})
outputs:
changing value4
{}
Delegates just doesn't seem to work with Kotlin Serialization
What other options are there to observe a property's changes without breaking its serialization that will also work on other platforms (KotlinJS, KotlinJVM, Android, ...)?
Serialization and Deserialization of Kotlin Delegates is not supported by kotlinx.serialization as of now.
There is an open issue #1578 on GitHub regarding this feature.
According to the issue you can create an intermediate data-transfer object, which gets serialized instead of the original object. Also you could write a custom serializer to support the serialization of Kotlin Delegates, which seems to be even more boilerplate, then writing custom getters and setters, as proposed in the question.
Data Transfer Object
By mapping your original object to a simple data transfer object without delegates, you can utilize the default serialization mechanisms.
This also has the nice side effect to cleanse your data model classes from framework specific annotations, such as #Serializable.
class DataModel {
var observedProperty: String by Delegates.observable("initial") { property, before, after ->
println("""Hey, I changed "${property.name}" from "$before" to "$after"!""")
}
fun toJson(): String {
return Json.encodeToString(serializer(), this.toDto())
}
}
fun DataModel.toDto() = DataTransferObject(observedProperty)
#Serializable
class DataTransferObject(val observedProperty: String)
fun main() {
val data = DataModel()
println(data.toJson())
data.observedProperty = "changed"
println(data.toJson())
}
This yields the following result:
{"observedProperty":"initial"}
Hey, I changed "observedProperty" from "initial" to "changed"!
{"observedProperty":"changed"}
Custom data type
If changing the data type is an option, you could write a wrapping class which gets (de)serialized transparently. Something along the lines of the following might work.
#Serializable
class ClassWithMonitoredString(val monitoredProperty: MonitoredString) {
fun toJson(): String {
return Json.encodeToString(serializer(), this)
}
}
fun main() {
val monitoredString = obs("obsDefault") { before, after ->
println("""I changed from "$before" to "$after"!""")
}
val data = ClassWithMonitoredString(monitoredString)
println(data.toJson())
data.monitoredProperty.value = "obsChanged"
println(data.toJson())
}
Which yields the following result:
{"monitoredProperty":"obsDefault"}
I changed from "obsDefault" to "obsChanged"!
{"monitoredProperty":"obsChanged"}
You however lose information about which property changed, as you don't have easy access to the field name. Also you have to change your data structures, as mentioned above and might not be desirable or even possible. In addition, this work only for Strings for now, even though one might make it more generic though.
Also, this requires a lot of boilerplate to start with. On the call site however, you just have to wrap the actual value in an call to obs.
I used the following boilerplate to get it to work.
typealias OnChange = (before: String, after: String) -> Unit
#Serializable(with = MonitoredStringSerializer::class)
class MonitoredString(initialValue: String, var onChange: OnChange?) {
var value: String = initialValue
set(value) {
onChange?.invoke(field, value)
field = value
}
}
fun obs(value: String, onChange: OnChange? = null) = MonitoredString(value, onChange)
object MonitoredStringSerializer : KSerializer<MonitoredString> {
override val descriptor: SerialDescriptor = PrimitiveSerialDescriptor("MonitoredString", PrimitiveKind.STRING)
override fun serialize(encoder: Encoder, value: MonitoredString) {
encoder.encodeString(value.value)
}
override fun deserialize(decoder: Decoder): MonitoredString {
return MonitoredString(decoder.decodeString(), null)
}
}
I'm trying to pass data class to the service-proxy of Vert.x like this:
data class Entity(val field: String)
#ProxyGen
#VertxGen
public interface DatabaseService {
DatabaseService createEntity(Entity entity, Handler<AsyncResult<Void>> resultHandler);
}
However, the service-proxy requires a DataObject as the parameter type.
Below are what I've tried so far.
First, I rewrite the data class as:
#DataObject
data class Entity(val field: String) {
constructor(json: JsonObject) : this(
json.getString("field")
)
fun toJson(): JsonObject = JsonObject.mapFrom(this)
}
Although this works, the code is redundant, so I tried the kapt with the following generator:
override fun process(annotations: Set<TypeElement>, roundEnv: RoundEnvironment): Boolean {
roundEnv.getElementsAnnotatedWith(ProxyDataObject::class.java).forEach { el ->
val className = el.simpleName.toString()
val pack = processingEnv.elementUtils.getPackageOf(el).toString()
val filename = "Proxy$className"
val classBuilder = TypeSpec.classBuilder(filename)
val primaryConstructorBuilder = FunSpec.constructorBuilder()
val secondaryConstructorBuilder = FunSpec.constructorBuilder().addParameter("json", JsonObject::class)
val secondaryConstructorCodeBlocks = mutableListOf<CodeBlock>()
el.enclosedElements.forEach {
if (it.kind == ElementKind.FIELD) {
val name = it.simpleName.toString()
val kClass = getClass(it) // get the corresponding Kotlin class
val jsonTypeName = getJsonTypeName(it) // get the corresponding type name in methods of JsonObject
classBuilder.addProperty(PropertySpec.builder(name, kClass).initializer(name).build())
primaryConstructorBuilder.addParameter(name, kClass)
secondaryConstructorCodeBlocks.add(CodeBlock.of("json.get$jsonTypeName(\"$name\")"))
}
}
secondaryConstructorBuilder.callThisConstructor(secondaryConstructorCodeBlocks)
classBuilder
.addAnnotation(DataObject::class)
.addModifiers(KModifier.DATA)
.primaryConstructor(primaryConstructorBuilder.build())
.addFunction(secondaryConstructorBuilder.build())
.addFunction(
FunSpec.builder("toJson").returns(JsonObject::class).addStatement("return JsonObject.mapFrom(this)").build()
)
val generatedFile = FileSpec.builder(pack, filename).addType(classBuilder.build()).build()
generatedFile.writeTo(processingEnv.filer)
}
return true
}
Then I can get the correct generated file by simply writing the original data class, but when I execute the building after cleaning, I still get the following error:
Could not generate model for DatabaseService#createEntity(ProxyEntity,io.vertx.core.Handler<io.vertx.core.AsyncResult<java.lang.Void>>): type ProxyEntity is not legal for use for a parameter in proxy
It seems that the generated annotation #DataObject is not processed.
So what should I do? Is there a better solution?
In javascript we can do something like this
function putritanjungsari(data){
console.log(data.name)
}
let data = {
name:"putri",
div:"m4th"
}
putritanjungsari(data)
In kotlin, i'am creating a function that accept an object as parameter then read it's properties later, how to do that in kotlin that targeting JVM?
If I understood your question correct, you are trying to have a variable that associates keys with some value or undefined(null in kt) if none are found. You are searching for a Map
If you don't know what types you want, you can make a map of type Any? So
Map<String, Any?>
Which is also nullable
Map<String, Any>
If you don't want nullables
Your code for example:
fun putritanjungsari(data: Map<String, Any?>){
print(data["name"])
}
val data: Map<String, Any?> =mapOf(
"name" to "putri",
"div" to "m4th"
)
putritanjungsari(data)
Note that you can't add new keys or edit any data here, the default map is immutable. There is MutableMap (which is implemented the same, only it has a method to put new data)
You can apply the property design pattern to solve your problem.
Here is its implementation in Kotlin:
interface DynamicProperty<T> {
fun cast(value: Any?): T
fun default(): T
companion object {
inline fun <reified T> fromDefaultSupplier(crossinline default: () -> T) =
object : DynamicProperty<T> {
override fun cast(value: Any?): T = value as T
override fun default(): T = default()
}
inline operator fun <reified T> invoke(default: T) = fromDefaultSupplier { default }
inline fun <reified T> required() = fromDefaultSupplier<T> {
throw IllegalStateException("DynamicProperty isn't initialized")
}
inline fun <reified T> nullable() = DynamicProperty<T?>(null)
}
}
operator fun <T> DynamicProperty<T>.invoke(value: T) = DynamicPropertyValue(this, value)
data class DynamicPropertyValue<T>(val property: DynamicProperty<T>, val value: T)
class DynamicObject(vararg properties: DynamicPropertyValue<*>) {
private val properties = HashMap<DynamicProperty<*>, Any?>().apply {
properties.forEach { put(it.property, it.value) }
}
operator fun <T> get(property: DynamicProperty<T>) =
if (properties.containsKey(property)) property.cast(properties[property])
else property.default()
operator fun <T> set(property: DynamicProperty<T>, value: T) = properties.put(property, value)
operator fun <T> DynamicProperty<T>.minus(value: T) = set(this, value)
}
fun dynamicObj(init: DynamicObject.() -> Unit) = DynamicObject().apply(init)
You can define your properties these ways:
val NAME = DynamicProperty.required<String>() // throws exceptions on usage before initialization
val DIV = DynamicProperty.nullable<String>() // has nullable type String?
val IS_ENABLED = DynamicProperty(true) // true by default
Now you can use them:
fun printObjName(obj: DynamicObject) {
println(obj[NAME])
}
val data = dynamicObj {
NAME - "putri"
DIV - "m4th"
}
printObjName(data)
// throws exception because name isn't initialized
printObjName(DynamicObject(DIV("m4th"), IS_ENABLED(false)))
Reasons to use DynamicObject instead of Map<String, Any?>:
Type-safety (NAME - 3 and NAME(true) will not compile)
No casting is required on properties usage
You can define what the program should do when a property isn't initialized
Kotlin is statically typed language, so it required a param type to be precisely defined or unambiguously inferred (Groovy, for instance, addresses the case by at least two ways). But for JS interoperability Kotlin offers dynamic type.
Meanwhile, in your particular case you can type data structure to kt's Map and do not argue with strict typing.
You have to use Any and after that, you have to cast your object, like this
private fun putritanjungsari(data : Any){
if(data is Mydata){
var data = data as? Mydata
data.name
}
}
Just for the sake of inspiration. In Kotlin, you can create ad hoc objects:
val adHoc = object {
var x = 1
var y = 2
}
println(adHoc.x + adHoc.y)