What I'm trying to solve is the following case:
Given an infinite running Akka Stream I want to be able to monitor certain points of the stream. The best way I could think of where to send the messages at this point to an Actor which is also a Source
. This makes it very flexible for me to then connect either individual Sources or merge multiple sources to a websocket or whatever other client I want to connect. However in this specific case I'm trying to connect ScalaFX with Akka Source but it is not working as expected.
When I run the code below both counters start out ok but after a short while one of them stops and never recovers. I know there are special considerations with threading when using ScalaFX but I don't have the knowledge enough to understand what is going on here or debug it. Below is a minimal example to run, the issue should be visible after about 5 seconds.
My question is:
How could I change this code to work as expected?
import akka.NotUsed
import scalafx.Includes._
import akka.actor.{ActorRef, ActorSystem}
import akka.stream.{ActorMaterializer, OverflowStrategy, ThrottleMode}
import akka.stream.scaladsl.{Flow, Sink, Source}
import scalafx.application.JFXApp
import scalafx.beans.property.{IntegerProperty, StringProperty}
import scalafx.scene.Scene
import scalafx.scene.layout.BorderPane
import scalafx.scene.text.Text
import scala.concurrent.duration._
/**
* Created by henke on 2017-06-10.
*/
object MonitorApp extends JFXApp {
implicit val system = ActorSystem("monitor")
implicit val mat = ActorMaterializer()
val value1 = StringProperty("0")
val value2 = StringProperty("0")
stage = new JFXApp.PrimaryStage {
title = "Akka Stream Monitor"
scene = new Scene(600, 400) {
root = new BorderPane() {
left = new Text {
text <== value1
}
right = new Text {
text <== value2
}
}
}
}
override def stopApp() = system.terminate()
val monitor1 = createMonitor[Int]
val monitor2 = createMonitor[Int]
val marketChangeActor1 = monitor1
.to(Sink.foreach{ v =>
value1() = v.toString
}).run()
val marketChangeActor2 = monitor2
.to(Sink.foreach{ v =>
value2() = v.toString
}).run()
val monitorActor = Source[Int](1 to 100)
.throttle(1, 1.second, 1, ThrottleMode.shaping)
.via(logToMonitorAndContinue(marketChangeActor1))
.map(_ * 10)
.via(logToMonitorAndContinue(marketChangeActor2))
.to(Sink.ignore).run()
def createMonitor[T]: Source[T, ActorRef] = Source.actorRef[T](Int.MaxValue, OverflowStrategy.fail)
def logToMonitorAndContinue[T](monitor: ActorRef): Flow[T, T, NotUsed] = {
Flow[T].map{ e =>
monitor ! e
e
}
}
}