我有一个流,应该从http api(启动,停止,只有一个实例)进行控制。响应应流式传输到客户端。此处使用播放框架控制器进行编码:
class Processor{
def job(): Source[Int, NotUsed] ={
stop()
Source(Stream.from(1)).delay(1.second, DelayOverflowStrategy.backpressure)
}
def stop(): Unit ={
//TODO
}
}
class MyController(process: Processor) {
def startJob = Action {
val source = process.job()
Ok.chunked(source)
}
def cancell = Action {
process.cancel()
Ok("canceled")
}
}
我需要取消工作的能力。当客户端关闭连接时,作业不应取消-就像日志输出一样。我读到有关KillSwitches
的内容,但是请不要误解如何将其与接受Source
的播放控制器一起使用。有帮助吗?
我认为我需要一些与Job源不同的输出源。
答案 0 :(得分:0)
我用Monix
Observable
执行任务。通过操作,我可以运行,取消并连接到正在运行的流。无论如何,我对出于教育目的的akka-stream解决方案感兴趣。这里是monix解决方案:
class StreamService(implicit ec: Scheduler) {
private val runningStream: AtomicAny[Option[RunningStream]] = AtomicAny(None)
def run(): Option[Source[ByteString, NotUsed]] =
runningStream.get match {
case None =>
val observable = Observable
.interval(1.seconds)
.map(_.toString)
.doOnTerminate(cb => runningStream.set(None))
.doOnSubscriptionCancel(() => runningStream.set(None))
.publish
val cancelable_ = observable.connect()
this.runningStream.set(Some(RunningStream(cancelable_, observable)))
connect()
case _ => None
}
def connect(): Option[Source[ByteString, NotUsed]] =
runningStream.get
.map(rs => rs.observable.toReactivePublisher)
.map(publisher => Source.fromPublisher(publisher).map(ByteString(_)))
def cancel(): Unit =
runningStream.get.foreach(_.cancelable.cancel())
}
object StreamService {
case class RunningStream(cancelable: Cancelable, observable: ConnectableObservable[String])
}
class SomeController @Inject()(streamService: StreamService, cc: ControllerComponents)
extends AbstractController(cc) {
def run() = Action {
val source = streamService.run().getOrElse(throw new RuntimeException("Stream already running"))
Ok.chunked(source)
}
def connect() = Action {
val source = streamService.connect().getOrElse(throw new RuntimeException("Stream not running"))
Ok.chunked(source)
}
def cancel() = Action {
streamService.cancel()
Ok("ok")
}
}