'git mv' rst resources to md

This is mainly intended to keep the git history as neat as possible.
No actual conversion yet, so now both the rst and the paradox docs
are broken, which will be fixed in the next commits.
This commit is contained in:
Arnout Engelen 2017-05-10 15:44:43 +02:00
parent 5507147073
commit a4a0d308ad
553 changed files with 0 additions and 0 deletions

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/**
* Copyright (C) 2014-2017 Lightbend Inc. <http://www.lightbend.com>
*/
package docs.stream
import akka.NotUsed
import akka.stream._
import akka.stream.scaladsl._
import akka.testkit.AkkaSpec
import scala.collection.immutable
import scala.concurrent.duration._
import scala.concurrent.{ Await, Future }
class GraphDSLDocSpec extends AkkaSpec {
implicit val ec = system.dispatcher
implicit val materializer = ActorMaterializer()
"build simple graph" in {
//format: OFF
//#simple-graph-dsl
val g = RunnableGraph.fromGraph(GraphDSL.create() { implicit builder: GraphDSL.Builder[NotUsed] =>
import GraphDSL.Implicits._
val in = Source(1 to 10)
val out = Sink.ignore
val bcast = builder.add(Broadcast[Int](2))
val merge = builder.add(Merge[Int](2))
val f1, f2, f3, f4 = Flow[Int].map(_ + 10)
in ~> f1 ~> bcast ~> f2 ~> merge ~> f3 ~> out
bcast ~> f4 ~> merge
ClosedShape
})
//#simple-graph-dsl
//format: ON
//#simple-graph-run
g.run()
//#simple-graph-run
}
"flow connection errors" in {
intercept[IllegalStateException] {
//#simple-graph
RunnableGraph.fromGraph(GraphDSL.create() { implicit builder =>
import GraphDSL.Implicits._
val source1 = Source(1 to 10)
val source2 = Source(1 to 10)
val zip = builder.add(Zip[Int, Int]())
source1 ~> zip.in0
source2 ~> zip.in1
// unconnected zip.out (!) => "must have at least 1 outgoing edge"
ClosedShape
})
//#simple-graph
}.getMessage should include("ZipWith2.out")
}
"reusing a flow in a graph" in {
//#graph-dsl-reusing-a-flow
val topHeadSink = Sink.head[Int]
val bottomHeadSink = Sink.head[Int]
val sharedDoubler = Flow[Int].map(_ * 2)
//#graph-dsl-reusing-a-flow
// format: OFF
val g =
//#graph-dsl-reusing-a-flow
RunnableGraph.fromGraph(GraphDSL.create(topHeadSink, bottomHeadSink)((_, _)) { implicit builder =>
(topHS, bottomHS) =>
import GraphDSL.Implicits._
val broadcast = builder.add(Broadcast[Int](2))
Source.single(1) ~> broadcast.in
broadcast.out(0) ~> sharedDoubler ~> topHS.in
broadcast.out(1) ~> sharedDoubler ~> bottomHS.in
ClosedShape
})
//#graph-dsl-reusing-a-flow
// format: ON
val (topFuture, bottomFuture) = g.run()
Await.result(topFuture, 300.millis) shouldEqual 2
Await.result(bottomFuture, 300.millis) shouldEqual 2
}
"building a reusable component" in {
//#graph-dsl-components-shape
// A shape represents the input and output ports of a reusable
// processing module
case class PriorityWorkerPoolShape[In, Out](
jobsIn: Inlet[In],
priorityJobsIn: Inlet[In],
resultsOut: Outlet[Out]) extends Shape {
// It is important to provide the list of all input and output
// ports with a stable order. Duplicates are not allowed.
override val inlets: immutable.Seq[Inlet[_]] =
jobsIn :: priorityJobsIn :: Nil
override val outlets: immutable.Seq[Outlet[_]] =
resultsOut :: Nil
// A Shape must be able to create a copy of itself. Basically
// it means a new instance with copies of the ports
override def deepCopy() = PriorityWorkerPoolShape(
jobsIn.carbonCopy(),
priorityJobsIn.carbonCopy(),
resultsOut.carbonCopy())
}
//#graph-dsl-components-shape
//#graph-dsl-components-create
object PriorityWorkerPool {
def apply[In, Out](
worker: Flow[In, Out, Any],
workerCount: Int): Graph[PriorityWorkerPoolShape[In, Out], NotUsed] = {
GraphDSL.create() { implicit b =>
import GraphDSL.Implicits._
val priorityMerge = b.add(MergePreferred[In](1))
val balance = b.add(Balance[In](workerCount))
val resultsMerge = b.add(Merge[Out](workerCount))
// After merging priority and ordinary jobs, we feed them to the balancer
priorityMerge ~> balance
// Wire up each of the outputs of the balancer to a worker flow
// then merge them back
for (i <- 0 until workerCount)
balance.out(i) ~> worker ~> resultsMerge.in(i)
// We now expose the input ports of the priorityMerge and the output
// of the resultsMerge as our PriorityWorkerPool ports
// -- all neatly wrapped in our domain specific Shape
PriorityWorkerPoolShape(
jobsIn = priorityMerge.in(0),
priorityJobsIn = priorityMerge.preferred,
resultsOut = resultsMerge.out)
}
}
}
//#graph-dsl-components-create
def println(s: Any): Unit = ()
//#graph-dsl-components-use
val worker1 = Flow[String].map("step 1 " + _)
val worker2 = Flow[String].map("step 2 " + _)
RunnableGraph.fromGraph(GraphDSL.create() { implicit b =>
import GraphDSL.Implicits._
val priorityPool1 = b.add(PriorityWorkerPool(worker1, 4))
val priorityPool2 = b.add(PriorityWorkerPool(worker2, 2))
Source(1 to 100).map("job: " + _) ~> priorityPool1.jobsIn
Source(1 to 100).map("priority job: " + _) ~> priorityPool1.priorityJobsIn
priorityPool1.resultsOut ~> priorityPool2.jobsIn
Source(1 to 100).map("one-step, priority " + _) ~> priorityPool2.priorityJobsIn
priorityPool2.resultsOut ~> Sink.foreach(println)
ClosedShape
}).run()
//#graph-dsl-components-use
//#graph-dsl-components-shape2
import FanInShape.{ Init, Name }
class PriorityWorkerPoolShape2[In, Out](_init: Init[Out] = Name("PriorityWorkerPool"))
extends FanInShape[Out](_init) {
protected override def construct(i: Init[Out]) = new PriorityWorkerPoolShape2(i)
val jobsIn = newInlet[In]("jobsIn")
val priorityJobsIn = newInlet[In]("priorityJobsIn")
// Outlet[Out] with name "out" is automatically created
}
//#graph-dsl-components-shape2
}
"access to materialized value" in {
//#graph-dsl-matvalue
import GraphDSL.Implicits._
val foldFlow: Flow[Int, Int, Future[Int]] = Flow.fromGraph(GraphDSL.create(Sink.fold[Int, Int](0)(_ + _)) { implicit builder => fold =>
FlowShape(fold.in, builder.materializedValue.mapAsync(4)(identity).outlet)
})
//#graph-dsl-matvalue
Await.result(Source(1 to 10).via(foldFlow).runWith(Sink.head), 3.seconds) should ===(55)
//#graph-dsl-matvalue-cycle
import GraphDSL.Implicits._
// This cannot produce any value:
val cyclicFold: Source[Int, Future[Int]] = Source.fromGraph(GraphDSL.create(Sink.fold[Int, Int](0)(_ + _)) { implicit builder => fold =>
// - Fold cannot complete until its upstream mapAsync completes
// - mapAsync cannot complete until the materialized Future produced by
// fold completes
// As a result this Source will never emit anything, and its materialited
// Future will never complete
builder.materializedValue.mapAsync(4)(identity) ~> fold
SourceShape(builder.materializedValue.mapAsync(4)(identity).outlet)
})
//#graph-dsl-matvalue-cycle
}
}