如何在fs2功能流中为Scala创建离散流?

时间:2017-08-04 17:08:58

标签: scala functional-programming stream system.reactive fs2

是否可以在 fs2 中创建离散事件流?如果是这样的话怎么做。 我刚刚开始和图书馆一起玩,我知道我有很多需要学习的东西。但我没有看到任何相关的例子。例如我想在 scalajs swing 中为“ mousemove ”或“点击”创建一个流。 我正在寻找像 RxJS 这样的东西,我可以使用 Rx.Observable.create 创建离散事件,如:

//note: pseudo code
var mouse = Rx.Observable.create( subscriber => {
     document.body.addEventListener("mousemove", event =>{
      subscriber.onNext(event)
 })
} ) 

fs2 中的等价物可能不是那么简单,但如果有人可以建议我如何。我想它会使用 Handler Pull / Push 数据类型,但我很清楚如何。

干杯。

1 个答案:

答案 0 :(得分:1)

这是我想出的一个示例,演示了如何在JavaFX中使用fs2:

import cats.implicits._
import cats.effect._
import cats.effect.implicits._
import javafx.application.{Application, Platform}
import javafx.scene.{Node, Scene}
import javafx.scene.layout._
import javafx.stage.Stage
import fs2._
import fs2.concurrent._
import javafx.beans.value.WritableValue
import javafx.scene.control.{Label, TextField}
import javafx.scene.input.KeyEvent

import scala.concurrent.ExecutionContext

import scala.util.Try

class Fs2Ui extends Application {
  override def start(primaryStage: Stage): Unit = {
    implicit val cs: ContextShift[IO] = IO.contextShift(ExecutionContext.global)
    implicit val timer: Timer[IO] = IO.timer(ExecutionContext.global)

    new Logic[IO]().run(primaryStage).start.unsafeRunSync()
  }

  class Logic[F[_]: ConcurrentEffect: ContextShift: Timer] {
    import Fs2Ui._
    import java.time.{Duration, Instant}
    import java.util.concurrent.TimeUnit.MILLISECONDS

    def run(primaryStage: Stage): F[Unit] = for {
      v <- initializeUi(primaryStage)
      View(input, feedback) = v

      _ <- Stream(input).covary[F]
        .through(typedChars)
        .through(processInput)
        .through(displayFeedback(feedback.textProperty))
        .compile.drain
    } yield ()

    private def initializeUi(primaryStage: Stage): F[View] = updateUi {
      val input = new TextField()
      input.setPrefWidth(300)
      val feedback = new Label("...")

      val vbox = new VBox(input, feedback)
      val root = new StackPane(vbox)
      val scene = new Scene(root)

      primaryStage.setScene(scene)
      primaryStage.show()

      View(input, feedback)
    }

    private def processInput: Pipe[F, TypedChar, Feedback] = for {
      typed <- _
      _ <- Stream.eval(ContextShift[F].shift)
      res <- Stream.eval { time(processSingle(typed)) }
      (d, Feedback(str)) = res
    } yield Feedback(s"$str in [$d]")

    private def displayFeedback(value: WritableValue[String]): Pipe[F, Feedback, Unit] =
      _.map { case Feedback(str) => str } through updateValue(value)

    private def time[A](f: F[A]): F[(Duration, A)] = {
      val now = Timer[F].clock.monotonic(MILLISECONDS).map(Instant.ofEpochMilli)
      for {
        start <- now
        a <- f
        stop <- now
        d = Duration.between(start, stop)
      } yield (d, a)
    }

    private val processSingle: TypedChar => F[Feedback] = {
      import scala.util.Random
      import scala.concurrent.duration._

      val prng = new Random()
      def randomDelay: F[Unit] = Timer[F].sleep { (250 + prng.nextInt(750)).millis }

      c => randomDelay *> Sync[F].delay(Feedback(s"processed $c"))
    }
  }
}

object Fs2Ui {
  case class View(input: TextField, feedback: Label)

  case class TypedChar(value: String)
  case class Feedback(value: String)

  private def typedChars[F[_]: ConcurrentEffect]: Pipe[F, Node, TypedChar] = for {
    node <- _
    q <- Stream.eval(Queue.unbounded[F, KeyEvent])
    _ <- Stream.eval(Sync[F].delay {
      node.setOnKeyTyped { evt => (q enqueue1 evt).toIO.unsafeRunSync() }
    })
    keyEvent <- q.dequeue
  } yield TypedChar(keyEvent.getCharacter)

  private def updateValue[F[_]: Async, A](value: WritableValue[A]): Pipe[F, A, Unit] = for {
    a <- _
    _ <- Stream.eval(updateUi(value setValue a))
  } yield ()

  private def updateUi[F[_]: Async, A](action: => A): F[A] =
    Async[F].async[A] { cb =>
      Platform.runLater { () =>
        cb(Try(action).toEither)
      }
    }
}

展示fs2和JavaFX之间绑定的特定部分是两个PipetypedCharsupdateValue。我个人认为,最具挑战性的部分是使KeyEvent侦听器适应看起来像fs2 Stream的事件:

node.setOnKeyTyped { evt => (q enqueue1 evt).toIO.unsafeRunSync() }