I have a type class and a few instances:
trait TC[T] { def doThings(x: T): Unit }
implicit val tcA = new TC[A] { /* ... */}
implicit val tcB = new TC[B] { /* ... */}
implicit val tcC = new TC[C] { /* ... */}
/* ... */
In my call site, I have input as Any, and I need to check if there is an implicit for the input actual type:
def process(in: Any) = in match {
case x: A => implicitly[TC[A]].doThings(x)
case x: B => implicitly[TC[B]].doThings(x)
case x: C => implicitly[TC[C]].doThings(x)
//...
}
This seems tedious and unnecessary, as I have to list all the classes that have this type class instance. Can I achieve this by something like:
def process(in: Any) = in match {
case x: T : TC => implicitly[TC[T]].doThings(x) //This does not work
}
Edit: input is an Any (an Object from a Java library). Cannot use generic or context bound on the input.
If you really want to do what you have mentioned in your question, you can write it as below, but if you just want to call doThings by finding an implicit instance of appropriate TC - refer João Guitana answer
object Main extends App {
class A
class B
class C
trait TC[T] { def doThings(x: T): Unit }
implicit val tcA = new TC[A] {
override def doThings(x: A): Unit = println("From A")
}
implicit val tcB = new TC[B] {
override def doThings(x: B): Unit = println("From B")
}
implicit val tcC = new TC[C] {
override def doThings(x: C): Unit = println("From C")
}
def process[T: ClassTag](in: T) = in match {
case x: A => implicitly[TC[A]].doThings(x)
case x: B => implicitly[TC[B]].doThings(x)
case x: C => implicitly[TC[C]].doThings(x)
}
process(new A())
process(new B())
process(new C())
}
/* === Output ====
From A
From B
From C
*/
You need to ask for an implicit TC, Any won't work. As follows:
trait TC[T] { def doThings(x: T): Unit }
implicit def tcS: TC[String] = new TC[String] {
override def doThings(x: String): Unit = println("string")
}
implicit def tcI: TC[Int] = new TC[Int] {
override def doThings(x: Int): Unit = println("int")
}
def process[T : TC](x: T): Unit = implicitly[TC[T]].doThings(x)
process("")
process(1)
// process(4L) wont compile
Try it out!
Related
I want to implement generic and typesafe domain repository. Say I have
trait Repo[Value] {
def put(value: Value): Unit
}
case class IntRepo extends Repo[Int] {
override def put(value: Int): Unit = ???
}
case class StringRepo extends Repo[String] {
override def put(value: String): Unit = ???
}
case class DomainRepo(intRepo: IntRepo, stringRepo: StringRepo) {
def putAll[?](values: ?*): Unit // what type should be here?
}
As result I want to have following api:
domainRepo.putAll(1, 2, 3, "foo", "bar") //Should work
domainRepo.putAll(1, 2, true, "foo") // should not compile because of boolean value
The question is How to achieve this?
so, I see only one way to make it typesafe. It's to do pattern matching on Any type like
def putAll(values: Seq[Any]) => Unit = values.foreach {
case str: String => stringRepo.put(str)
case int: Int => intRepo.put(int)
case _ => throw RuntimeException // Ha-Ha
}
but what if I would have 10000 of types here? it would be a mess!
another not clear for me approach for now is to use dotty type | (or) like following:
type T = Int | String | 10000 other types // wouldn't be a mess?
def putAll(t: T*)(implicit r1: Repo[Int], r2: Repo[String] ...) {
val myTargetRepo = implicitly[Repo[T]] // would not work
}
so, what do you think? is it even possible?
the easies way I've saw was
Map[Class[_], Repo[_]]
but this way allows to do a lot of errors
It seems you are looking for a type class
trait Repo[Value] {
def put(value: Value): Unit
}
implicit val intRepo: Repo[Int] = new Repo[Int] {
override def put(value: Int): Unit = ???
}
implicit val stringRepo: Repo[String] = new Repo[String] {
override def put(value: String): Unit = ???
}
case object DomainRepo {
def putAll[Value](value: Value)(implicit repo: Repo[Value]): Unit = repo.put(value)
}
If you want domainRepo.putAll(1, 2, 3, "foo", "bar") to compile and domainRepo.putAll(1, 2, true, "foo") not to compile, you can try to use heterogeneous collection (HList).
import shapeless.{HList, HNil, ::, Poly1}
import shapeless.ops.hlist.Mapper
trait Repo[Value] {
def put(value: Value): Unit
}
implicit val intRepo: Repo[Int] = new Repo[Int] {
override def put(value: Int): Unit = ???
}
implicit val stringRepo: Repo[String] = new Repo[String] {
override def put(value: String): Unit = ???
}
case object DomainRepo {
def put[Value](value: Value)(implicit repo: Repo[Value]): Unit = repo.put(value)
object putPoly extends Poly1 {
implicit def cse[Value: Repo]: Case.Aux[Value, Unit] = at(put(_))
}
def putAll[Values <: HList](values: Values)(implicit
mapper: Mapper[putPoly.type, Values]): Unit = mapper(values)
}
DomainRepo.putAll(1 :: 2 :: 3 :: "foo" :: "bar" :: HNil)
// DomainRepo.putAll(1 :: 2 :: true :: "foo" :: HNil) // doesn't compile
I have this repository :
trait TrainRepository {
def get(trainId: TrainId): IO[Option[Train]]
def getAll: IO[List[Train]]
def save(train: Train): IO[Train]
}
I would like to provide an in-memory implementation using a State Monad.
But I am stuck :
if I extend the trait, I will be stuck with the types IO[...] so I believe that I would not be able to use a State Monad.
do I need to use a natural transformation?
do I need to use a Free Monad? (I would rather not)
How would you do that?
EDIT to give a little bit more context:
trait TrainRepository[F[_]] {
def get(trainId: TrainId): F[Option[Train]]
def save(train: Train): F[Train]
}
class TrainService[F[_]](repository: TrainRepository[F])(implicit monad: Monad[F]) {
def reservation(id: TrainId): F[Train] =
for{
train <- repository.get(id)
updatedTrain <- train match {
case None => monad.pure("test") // return error here
case Some(train) => monad.pure(train.bookSeat)
}
_ <- repository.save(updatedTrain)
} yield updatedTrain
}
type TrainStateRepository[A] = State[Map[TrainId, Train], A]
val inMemoryTrainRepository = new TrainRepository[TrainStateRepository] {
override def get(trainId: TrainId): TrainStateRepository[Option[Train]] = ???
override def save(train: Train): TrainStateRepository[Train] = ???
}
val postgresTrainRepository = new TrainRepository[IO] {
override def get(trainId: TrainId): IO[Option[Train]] = ???
override def save(train: Train): IO[Train] = ???
}
val testTrainService = new TrainService[IO](inMemoryTrainRepository)
// The error is here ^^^^
// I cannot mix IO and State
val prodTrainService = new TrainService[IO](postgresTrainRepository)
You can introduce a type parameter in order to abstract over your monad:
trait TrainRepository[F[_]] {
def get(trainId: TrainId): F[Option[Train]]
def getAll: F[List[Train]]
def save(train: Train): F[Train]
}
Then your implementation with state monad can look like
type TrainsState[A] = State[Map[TrainId, Train], A]
class StateTrainRepository extends TrainRepository[TrainsState] {
override def get(trainId: TrainId): TrainsState[Option[Train]] = State.inspect(_.get(trainId))
override def getAll: TrainsState[List[Train]] = State.inspect(_.values.toList)
override def save(train: Train): TrainsState[Train] =
State.modify[Map[TrainId, Train]](m => m + (train.id -> train)) *> State.pure(train)
}
I am trying to learn how to use FreeMonads to implement interpreters for my services.
Suppose I have
sealed trait ServiceAction[T] extends Product with Serializable
case class ConsumeCommand(cmd: AccruePoints) extends ServiceAction[AccruePointModel]
case class CreateEvent(evt: PointsAccruedEvent) extends ServiceAction[PointsAccruedEvent]
sealed trait LogAction[T] extends Product with Serializable
case class Info(msg: String) extends LogAction[Unit]
case class Error(msg: String) extends LogAction[Unit]
and a Monad of the action
type LogActionF[A] = Free[LogAction, A]
type ServiceActionF[A] = Free[ServiceAction, A]
Next, I define my service like this:
trait PointAccrualService {
def consume(cmd: AccruePoints): ServiceActionF[AccruePointModel] = Free.liftF(ConsumeCommand(cmd))
def emit(evt: PointsAccruedEvent) : ServiceActionF[PointsAccruedEvent] = Free.liftF(CreateEvent(evt))
}
and
trait LogService {
def info(msg: String) : LogActionF[Unit] = Free.liftF(Info(msg))
def error(msg: String) : LogActionF[Unit] = Free.liftF(Error(msg))
}
with an object of each
object LogService extends LogService
object PointAccrualService extends PointAccrualService
My LogServiceInterpreter is like this:
case class LogServiceConsoleInterpreter() extends LogServiceInterpreter {
def apply[A](action: LogActionF[A]): Task[A] = action.foldMap(handler)
protected def handler = new (LogAction ~> Task) {
override def apply[A](fa: LogAction[A]) = fa match {
case Info(m) =>
now(info(m))
case Error(m) =>
now(error(m))
}
}
def info(msg: String): Unit = {
println(s"INFO: $msg")
}
def error(msg: String): Unit = {
println(s"ERROR: $msg")
}
}
Similarly, my PointAccuralServiceInterpreter is like this:
case class PointAccuralServiceInterpreter() {
def apply[A] (action: ServiceActionF[A]) : Task[A] = action.foldMap(handler)
protected def handler = new (ServiceAction ~> Task) {
override def apply[A](fa: ServiceAction[A]): Task[A] = fa match {
case ConsumeCommand(cmd) => {
println("Service ConsumeCommand:" + cmd)
now(cmd)
}
case CreateEvent(evt) => {
println("Service CreateEvent:" + evt)
now(evt)
}
}
}
}
My logic is straightforward, I want to log, and consume my command and then create an event, sort of like an event sourcing:
val ret = for {
_ <- logService.info("Command: " + cmd)
model <- service.consume(cmd)
_ <- logService.info("Model: " + model)
evt <- service.emit(model.toEvent("200", "Event Sent"))
_ <- logService.info("Event:" + evt)
} yield evt
This code doesn't even compile actually.
What should I do from here? I think I am supposed to use Coproduct to chain them and execute this piece of logic by feeding my interpreter.
I found something here
https://groups.google.com/forum/#!topic/scalaz/sHxFsFpE86c
or it's said I can use Shapeless to do so
Folding a list of different types using Shapeless in Scala
They are all too complicated. All I want is, after I define my logic, how do I execute it?
Hope I put enough details here for an answer. I really want to learn this. Thanks
I slightly modified your code to create a self-contained running example. I also added a possible answer to your question, how to execute your program, following Rúnar Bjarnason's ideas, using Scalaz 7.2. (I did not find the or operator for the natural transformations in Scalaz, so I added it here.)
I also added a few stubs to give your actions something to fiddle with and simplified your services to the handlers inside (since I had to create a new service for both languages combined). Furthermore I changed your Task.now{...} to Task{...} to create an asynchronous Task, which is executed on the last line of code.
Here is the full code:
import scala.language.{higherKinds, implicitConversions}
import scalaz._
import scalaz.concurrent.Task
/* Stubs */
case class AccruePoints()
case class AccruePointModel(cmd: AccruePoints) {
def toEvent(code: String, description: String): PointsAccruedEvent = PointsAccruedEvent(code, description)
}
case class PointsAccruedEvent(code: String, description: String)
/* Actions */
sealed trait ServiceAction[T] extends Product with Serializable
case class ConsumeCommand(cmd: AccruePoints) extends ServiceAction[AccruePointModel]
case class CreateEvent(evt: PointsAccruedEvent) extends ServiceAction[PointsAccruedEvent]
sealed trait LogAction[T] extends Product with Serializable
case class Info(msg: String) extends LogAction[Unit]
case class Error(msg: String) extends LogAction[Unit]
/* Handlers */
object PointAccuralServiceHandler extends (ServiceAction ~> Task) {
override def apply[A](fa: ServiceAction[A]): Task[A] = fa match {
case ConsumeCommand(cmd) => {
println("Service ConsumeCommand:" + cmd)
Task(consume(cmd))
}
case CreateEvent(evt) => {
println("Service CreateEvent:" + evt)
Task(evt)
}
}
def consume(cmd: AccruePoints): AccruePointModel =
AccruePointModel(cmd)
}
case object LogServiceConsoleHandler extends (LogAction ~> Task) {
override def apply[A](fa: LogAction[A]): Task[A] = fa match {
case Info(m) =>
Task(info(m))
case Error(m) =>
Task(error(m))
}
def info(msg: String): Unit = {
println(s"INFO: $msg")
}
def error(msg: String): Unit = {
println(s"ERROR: $msg")
}
}
/* Execution */
class Service[F[_]](implicit I1: Inject[ServiceAction, F], I2: Inject[LogAction, F]) {
def consume(cmd: AccruePoints): Free[F, AccruePointModel] = Free.liftF(I1(ConsumeCommand(cmd)))
def emit(evt: PointsAccruedEvent): Free[F, PointsAccruedEvent] = Free.liftF(I1(CreateEvent(evt)))
def info(msg: String): Free[F, Unit] = Free.liftF(I2(Info(msg)))
def error(msg: String): Free[F, Unit] = Free.liftF(I2(Error(msg)))
}
object Service {
implicit def instance[F[_]](implicit I1: Inject[ServiceAction, F], I2: Inject[LogAction, F]) = new Service[F]
}
def prg[F[_]](implicit service: Service[F]) = {
val cmd = AccruePoints()
for {
_ <- service.info("Command: " + cmd)
model <- service.consume(cmd)
_ <- service.info("Model: " + model)
evt <- service.emit(model.toEvent("200", "Event Sent"))
_ <- service.info("Event:" + evt)
} yield evt
}
type App[A] = Coproduct[ServiceAction, LogAction, A]
def or[F[_], G[_], H[_]](f: F ~> H, g: G ~> H) =
new (({type t[x] = Coproduct[F, G, x]})#t ~> H) {
override def apply[A](c: Coproduct[F, G, A]): H[A] = c.run match {
case -\/(fa) => f(fa)
case \/-(ga) => g(ga)
}
}
val app = prg[App]
val ret = app.foldMap(or(PointAccuralServiceHandler, LogServiceConsoleHandler))
ret.unsafePerformSync
Is there a simple way to return a concrete type in an override method? And what about creating an instance of a concrete implementation? And calling chained methods implemented in the concrete class, so they return a correct type, too? I have a solution (based on https://stackoverflow.com/a/14905650) but I feel these things should be simpler.
There are many similar questions, but everyone's case is a little different, so here is another example (shortened from https://github.com/valdanylchuk/saiml/tree/master/src/main/scala/saiml/ga). When replying, if possible, please check if the whole code block compiles with your suggested change, because there are subtle cascading effects. I could not make this work with the "curiously recurring template pattern", for example (not that I find it nicer).
import scala.reflect.ClassTag
import scala.util.Random
abstract class Individual(val genome: String) {
type Self
def this() = this("") // please override with a random constructor
def crossover(that: Individual): Self
}
class HelloGenetic(override val genome: String) extends Individual {
type Self = HelloGenetic
def this() = this(Random.alphanumeric.take("Hello, World!".length).mkString)
override def crossover(that: Individual): HelloGenetic = {
val newGenome = this.genome.substring(0, 6) + that.genome.substring(6)
new HelloGenetic(newGenome)
}
}
class Population[A <: Individual {type Self = A} :ClassTag]( val size: Int,
tournamentSize: Int, givenIndividuals: Option[Vector[A]] = None) {
val individuals: Vector[A] = givenIndividuals getOrElse
Vector.tabulate(size)(_ => implicitly[ClassTag[A]].runtimeClass.newInstance.asInstanceOf[A])
def tournamentSelect(): A = individuals.head // not really, skipped
def evolve: Population[A] = {
val nextGen = (0 until size).map { _ =>
val parent1: A = tournamentSelect()
val parent2: A = tournamentSelect()
val child: A = parent1.crossover(parent2)
child
}.toVector
new Population(size, tournamentSize, Some(nextGen))
}
}
class Genetic[A <: Individual {type Self = A} :ClassTag](populationSize: Int, tournamentSize: Int) {
def optimize(maxGen: Int, maxMillis: Long): Individual = {
val first = new Population[A](populationSize, tournamentSize)
val optPop = (0 until maxGen).foldLeft(first) { (pop, _) => pop.evolve }
optPop.individuals.head
}
}
The CRTP version is
abstract class Individual[A <: Individual[A]](val genome: String) {
def this() = this("") // please override with a random constructor
def crossover(that: A): A
}
class HelloGenetic(override val genome: String) extends Individual[HelloGenetic] {
def this() = this(Random.alphanumeric.take("Hello, World!".length).mkString)
override def crossover(that: HelloGenetic): HelloGenetic = {
val newGenome = this.genome.substring(0, 6) + that.genome.substring(6)
new HelloGenetic(newGenome)
}
}
class Population[A <: Individual[A] :ClassTag]( val size: Int,
tournamentSize: Int, givenIndividuals: Option[Vector[A]] = None) {
val individuals: Vector[A] = givenIndividuals getOrElse
Vector.tabulate(size)(_ => implicitly[ClassTag[A]].runtimeClass.newInstance.asInstanceOf[A])
def tournamentSelect(): A = individuals.head // not really, skipped
def evolve: Population[A] = {
val nextGen = (0 until size).map { _ =>
val parent1: A = tournamentSelect()
val parent2: A = tournamentSelect()
val child: A = parent1.crossover(parent2)
child
}.toVector
new Population(size, tournamentSize, Some(nextGen))
}
}
class Genetic[A <: Individual[A] :ClassTag](populationSize: Int, tournamentSize: Int) {
def optimize(maxGen: Int, maxMillis: Long): Individual[A] = {
val first = new Population[A](populationSize, tournamentSize)
val optPop = (0 until maxGen).foldLeft(first) { (pop, _) => pop.evolve }
optPop.individuals.head
}
}
which compiles. For creating the instances, I'd suggest just passing functions:
class Population[A <: Individual[A]](val size: Int,
tournamentSize: Int, makeIndividual: () => A, givenIndividuals: Option[Vector[A]] = None) {
val individuals: Vector[A] = givenIndividuals getOrElse
Vector.fill(size)(makeIndividual())
...
}
If you want to pass them implicitly, you can easily do so:
trait IndividualFactory[A] {
def apply(): A
}
class HelloGenetic ... // remove def this()
object HelloGenetic {
implicit val factory: IndividualFactory[HelloGenetic] = new IndividualFactory[HelloGenetic] {
def apply() = new HelloGenetic(Random.alphanumeric.take("Hello, World!".length).mkString)
}
}
class Population[A <: Individual[A]](val size: Int,
tournamentSize: Int, givenIndividuals: Option[Vector[A]] = None)
(implicit factory: IndividualFactory[A]) {
val individuals: Vector[A] = givenIndividuals getOrElse
Vector.fill(size)(factory())
...
}
Here is the code:
def transform1(f: String => String): Unit = {
val s = getString
f.andThen(putString)(s)
}
def transform2(f: String => Option[String]): Unit = {
val s = getString
f(s).foreach(putString(_))
}
How do you express these two ideas in one single function?
Method overloading does not work and seems discouraged by the community.
I didn't understand that why anyone may want this but here is a way to do it:
def transform(f: Either[(String => String), (String => Option[String])]: Unit = f match {
case Left(f) => // do transform1 here
case Right(f) => //do transform2 here
}
As I said at the begining you probably shouldn't want to do this; perhaps you should directly ask what you want.
The pattern to avoid overloading is to convert disparate arguments to a common, specific type. There could be any number of such conversions.
Not sure this is the most compelling example, however.
object X {
trait MapFlat[-A, +B] { def apply(x: A): B }
implicit class mapper[A](val f: A => A) extends MapFlat[A, A] {
override def apply(x: A) = {
val res = f(x)
println(res)
res
}
}
implicit class flatmapper[A](val f: A => Option[A]) extends MapFlat[A, Option[A]] {
override def apply(x: A) = {
val res = f(x)
res foreach println
res
}
}
def f[B](g: MapFlat[String, B]) = {
g("abc")
}
}
object Test extends App {
import X._
f((s: String) => s)
f((s: String) => Some(s))
}
One way to do it will be type classes, here's a sample -
trait Transformer[T] {
def transform(foo: String => T)
}
object Transformer {
implicit object StringTransformer extends Transformer[String] {
override def transform(foo: (String) => String): Unit = ??? // Your logic here
}
implicit object OptStringTransformer extends Transformer[Option[String]] {
override def transform(foo: (String) => Option[String]): Unit = ??? // Your logic here
}
}
class SampleClass {
def theOneTransformYouWant[T: Transformer](f: String => T) = {
implicitly[Transformer[T]].transform(f)
}
def canUseBothWays(): Unit = {
theOneTransformYouWant((s: String) => s)
theOneTransformYouWant((s: String) => Some(s))
}
}
Another way would be the magnet pattern
http://spray.io/blog/2012-12-13-the-magnet-pattern/
sealed trait TransformationMagnet {
def apply(): Unit
}
object TransformationMagnet {
implicit def fromString(f: String => String): TransformationMagnet =
new TransformationMagnet {
def apply(): Unit = ??? // Your code goes here
}
implicit def fromOptString(f: String => Option[String]): TransformationMagnet =
new TransformationMagnet {
def apply(): Unit = ??? // your code goes here
}
}
class SampleClass {
def theOneTransformYouWant(f: TransformationMagnet) = {
???
}
def hereWeUseItInBothWays(): Unit = {
theOneTransformYouWant((s: String) => s)
theOneTransformYouWant((s: String) => Some(s))
}
}
add a new parameter on the description typeOfTransform
add a conditional inside the function
if (typeOfTransform == type1){
//functionality1
}else {
//functionality2
}
Just for completeness, you can actually overload methods like this by adding implicit arguments which will always be available:
def transform(f: String => Option[String]): Unit = ...
def transform(f: String => String)(implicit d: DummyImplicit): Unit = ...