Getting started with Akka Streams I want to perform a simple computation. Extending the basic QuickStart https://doc.akka.io/docs/akka/2.5/stream/stream-quickstart.html with a call to a restful web api:
val source: Source[Int, NotUsed] = Source(1 to 100)
source.runForeach(println)
already works nicely to print the numbers. But when trying to create an Actor to perform the HTTP request (is this actually necessary?) according to https://doc.akka.io/docs/akka/2.5.5/scala/stream/stream-integrations.html
import akka.pattern.ask
implicit val askTimeout = Timeout(5.seconds)
val words: Source[String, NotUsed] =
Source(List("hello", "hi"))
words
.mapAsync(parallelism = 5)(elem => (ref ? elem).mapTo[String])
// continue processing of the replies from the actor
.map(_.toLowerCase)
.runWith(Sink.ignore)
I cannot get it to compile as the ? operator is not defined. As ar as I know this one would only be defined inside an actor.
I also do not understand yet where exactly inside mapAsync my custom actor needs to be called.
edit
https://blog.colinbreck.com/backoff-and-retry-error-handling-for-akka-streams/ contains at least parts of an example.
It looks like it is not mandatory to create an actor i.e.
implicit val system = ActorSystem()
implicit val ec = system.dispatcher
implicit val materializer = ActorMaterializer()
val source = Source(List("232::03::14062::19965186", "232::03::14062::19965189"))
.map(cellKey => {
val splits = cellKey.split("::")
val mcc = splits(0)
val mnc = splits(1)
val lac = splits(2)
val ci = splits(3)
CellKeySource(cellKey, mcc, mnc, lac, ci)
})
.limit(2)
.mapAsyncUnordered(2)(ck => getResponse(ck.cellKey, ck.mobileCountryCode, ck.mobileNetworkCode, ck.locationArea, ck.cellKey)("<<myToken>>"))
def getResponse(cellKey: String, mobileCountryCode:String, mobileNetworkCode:String, locationArea:String, cellId:String)(token:String): Future[String] = {
RestartSource.withBackoff(
minBackoff = 10.milliseconds,
maxBackoff = 30.seconds,
randomFactor = 0.2,
maxRestarts = 2
) { () =>
val responseFuture: Future[HttpResponse] =
Http().singleRequest(HttpRequest(uri = s"https://www.googleapis.com/geolocation/v1/geolocate?key=${token}", entity = ByteString(
// TODO use proper JSON objects
s"""
|{
| "cellTowers": [
| "mobileCountryCode": $mobileCountryCode,
| "mobileNetworkCode": $mobileNetworkCode,
| "locationAreaCode": $locationArea,
| "cellId": $cellId,
| ]
|}
""".stripMargin)))
Source.fromFuture(responseFuture)
.mapAsync(parallelism = 1) {
case HttpResponse(StatusCodes.OK, _, entity, _) =>
Unmarshal(entity).to[String]
case HttpResponse(statusCode, _, _, _) =>
throw WebRequestException(statusCode.toString() )
}
}
.runWith(Sink.head)
.recover {
case _ => throw StreamFailedAfterMaxRetriesException()
}
}
val done: Future[Done] = source.runForeach(println)
done.onComplete(_ ⇒ system.terminate())
is already the (partial) answer for the question i.e. how to integrate Akka-streams + akka-http. However, it does not work, i.e. only throws error 400s and never terminates.
i think you already found an api how to call akka-http client
regarding your first code snippet which doesn't work. i think there happened some misunderstanding of the example itself. you expected the code in the example to work after just copied. but the intension of the doc was to demonstrate just an example/concept, how you can delegate some long running task out of the stream flow and then consuming the result when it's ready. for this was used ask call to akka actor, because call to ask method returns a Future. probably the authors of the doc just omitted the definition of actor. you can try this one example:
import java.lang.System.exit
import akka.NotUsed
import akka.actor.{Actor, ActorRef, ActorSystem, Props}
import akka.pattern.ask
import akka.stream.ActorMaterializer
import akka.stream.scaladsl.{Sink, Source}
import akka.util.Timeout
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.duration._
import scala.language.higherKinds
object App extends scala.App {
implicit val sys: ActorSystem = ActorSystem()
implicit val mat: ActorMaterializer = ActorMaterializer()
val ref: ActorRef = sys.actorOf(Props[Translator])
implicit val askTimeout: Timeout = Timeout(5.seconds)
val words: Source[String, NotUsed] = Source(List("hello", "hi"))
words
.mapAsync(parallelism = 5)(elem => (ref ? elem).mapTo[String])
.map(_.toLowerCase)
.runWith(Sink.foreach(println))
.onComplete(t => {
println(s"finished: $t")
exit(1)
})
}
class Translator extends Actor {
override def receive: Receive = {
case msg => sender() ! s"$msg!"
}
}
You must import ask pattern from akka.
import akka.pattern.ask
Edit: OK, sorry, I can see that you have already imported. What is ref in your code? ActorRef?
Related
I am trying to create an (Akka HTTP) stream procsesing flow using the classes akka.stream.scaladsl.Source and Sink queues.
I am using a queue because I have a processing step in my flow that issues http requests and I want this step to take as many
items off the queue as there are max-open-requests, and stop taking off the queue once max-open-requests are in flight.
The result is that backpressure is applied when my connection pool is overloaded.
Below, I have a very simplified test that reflects the main logic of my app. In the test 'Stress Spec' (below)
I am simulating a number of simultaneous connections via which I will send a 'Source' of 'Requesto' objects
to the getResponses method of the class ServiceImpl.
In the processing step 'pullOffSinkQueue' you will note that I am incrementing a counter to see how many items
I have pulled off the queue.
The test will send Serviceimpl a set of requests whose cardinality is set to equal
streamedRequestsPerConnection * numSimultaneousConnections.
When I send 20 requests my test passes fine. In particular the count of requests pulled off the
Sink.queue will be equal to the number of requests I send out. However, if
I increase the number of requests I send to above 50 or so, I see consistent failures in the test.
I get a message such as the one below
180 was not equal to 200
ScalaTestFailureLocation: com.foo.StressSpec at (StressSpec.scala:116)
Expected :200
Actual :180
<Click to see difference>
This indicates that the number of items pulled off the queue does not equal the number of items put on the queue.
I have a feeling this might be due to the fact that my test is not properly waiting for all items put into the stream
to be processed. If anyone has any suggestions, I'd be all ears ! Code is below.
package com.foo
import java.util.concurrent.atomic.AtomicInteger
import akka.stream.ActorAttributes.supervisionStrategy
import akka.stream.{Attributes, Materializer, QueueOfferResult}
import akka.stream.Supervision.resumingDecider
import akka.stream.scaladsl.{Flow, Keep, Sink, Source}
import scala.concurrent.{ExecutionContext, Future}
import akka.NotUsed
import akka.actor.ActorSystem
import akka.event.{Logging, LoggingAdapter}
import akka.stream.ActorMaterializer
import akka.stream.scaladsl.{Sink, Source}
import org.scalatest.mockito.MockitoSugar
import org.scalatest.{FunSuite, Matchers}
import scala.collection.immutable
import scala.concurrent.duration._
import scala.concurrent.{Await, Future, _}
final case class Responso()
final case class Requesto()
object Handler {
val dbRequestCounter = new AtomicInteger(0)
}
class Handler(implicit ec: ExecutionContext, mat: Materializer) {
import Handler._
private val source =
Source.queue[(Requesto, String)](8, akka.stream.OverflowStrategy.backpressure)
private val sink =
Sink.queue[(Requesto, String)]().withAttributes(Attributes.inputBuffer(8, 8))
private val (sourceQueue, sinkQueue) = source.toMat(sink)(Keep.both).run()
def placeOnSourceQueue(ar: Requesto): Future[QueueOfferResult] = {
sourceQueue.offer((ar, "foo"))
}
def pullOffSinkQueue(qofr: QueueOfferResult): Future[Responso] = {
dbRequestCounter.incrementAndGet()
qofr match {
case QueueOfferResult.Enqueued =>
sinkQueue.pull().flatMap { maybeRequestPair: Option[(Requesto, String)] =>
Future.successful(Responso())
}
case error =>
println("enqueuing error: " + error)
Future.failed(new RuntimeException("enqueuing error: " + error))
}
}
}
class ServiceImpl(readHandler: Handler, writeHandler: Handler)
(implicit log: LoggingAdapter, mat: Materializer) {
private val readAttributeFlow: Flow[Requesto, Responso, NotUsed] = {
Flow[Requesto]
.mapAsyncUnordered(1)(readHandler.placeOnSourceQueue)
.mapAsyncUnordered(1)(readHandler.pullOffSinkQueue)
}
def getResponses(request: Source[Requesto, NotUsed]): Source[Responso, NotUsed] =
request
.via(readAttributeFlow)
.withAttributes(supervisionStrategy(resumingDecider))
}
class StressSpec
extends FunSuite
with MockitoSugar
with Matchers {
val streamedRequestsPerConnection = 10
val numSimultaneousConnections = 20
implicit val actorSystem: ActorSystem = ActorSystem()
implicit val materializer: ActorMaterializer = ActorMaterializer()
implicit val log: LoggingAdapter = Logging(actorSystem.eventStream, "test")
implicit val ec: ExecutionContext = actorSystem.dispatcher
import Handler._
lazy val requestHandler = new Handler()
lazy val svc: ServiceImpl =
new ServiceImpl(requestHandler, requestHandler)
test("can handle lots of simultaneous read requests") {
val totalExpected = streamedRequestsPerConnection * numSimultaneousConnections
def sendRequestAndAwaitResponse(): Unit = {
def getResponses(i: Integer) = {
val requestStream: Source[Requesto, NotUsed] =
Source(1 to streamedRequestsPerConnection)
.map { i =>
Requesto()
}
svc.getResponses(requestStream).runWith(Sink.seq)
}
val responses: immutable.Seq[Future[immutable.Seq[Responso]]] =
(1 to numSimultaneousConnections).map { getResponses(_) }
val flattenedResponses: Future[immutable.Seq[Responso]] =
Future.sequence(responses).map(_.flatten)
Await.ready(flattenedResponses, 1000.seconds).value.get
}
sendRequestAndAwaitResponse()
dbRequestCounter.get shouldBe(totalExpected)
}
}
I am trying to understand how i should be working with Source.queue & Sink.queue in Akka streaming.
In the little test program that I wrote below I find that I am able to successfully offer 1000 items to the Source.queue.
However, when i wait on the future that should give me the results of pulling all those items off the queue, my
future never completes. Specifically, the message 'print what we pulled off the queue' that we should see at the end
never prints out -- instead we see the error "TimeoutException: Futures timed out after [10 seconds]"
any guidance greatly appreciated !
import akka.actor.ActorSystem
import akka.event.{Logging, LoggingAdapter}
import akka.stream.scaladsl.{Flow, Keep, Sink, Source}
import akka.stream.{ActorMaterializer, Attributes}
import org.scalatest.FunSuite
import scala.collection.immutable
import scala.concurrent.duration._
import scala.concurrent.{Await, ExecutionContext, Future}
class StreamSpec extends FunSuite {
implicit val actorSystem: ActorSystem = ActorSystem()
implicit val materializer: ActorMaterializer = ActorMaterializer()
implicit val log: LoggingAdapter = Logging(actorSystem.eventStream, "basis-test")
implicit val ec: ExecutionContext = actorSystem.dispatcher
case class Req(name: String)
case class Response(
httpVersion: String = "",
method: String = "",
url: String = "",
headers: Map[String, String] = Map())
test("put items on queue then take them off") {
val source = Source.queue[String](128, akka.stream.OverflowStrategy.backpressure)
val flow = Flow[String].map(element => s"Modified $element")
val sink = Sink.queue[String]().withAttributes( Attributes.inputBuffer(128, 128))
val (sourceQueue, sinkQueue) = source.via(flow).toMat(sink)(Keep.both).run()
(1 to 1000).map( i =>
Future {
println("offerd" + i) // I see this print 1000 times as expected
sourceQueue.offer(s"batch-$i")
}
)
println("DONE OFFER FUTURE FIRING")
// Now use the Sink.queue to pull the items we added onto the Source.queue
val seqOfFutures: immutable.Seq[Future[Option[String]]] =
(1 to 1000).map{ i => sinkQueue.pull() }
val futureOfSeq: Future[immutable.Seq[Option[String]]] =
Future.sequence(seqOfFutures)
val seq: immutable.Seq[Option[String]] =
Await.result(futureOfSeq, 10.second)
// unfortunately our future times out here
println("print what we pulled off the queue:" + seq);
}
}
Looking at this again, I realize that I originally set up and posed my question incorrectly.
The test that accompanies my original question launches a wave
of 1000 futures, each of which tries to offer 1 item to the queue.
Then the second step in that test attempts create a 1000-element sequence (seqOfFutures)
where each future is trying to pull a value from the queue.
My theory as to why I was getting time-out errors is that there was some kind of deadlock due to running
out of threads or due to one thread waiting on another but where the waited-on-thread was blocked,
or something like that.
I'm not interested in hunting down the exact cause at this point because I have corrected
things in the code below (see CORRECTED CODE).
In the new code the test that uses the queue is called:
"put items on queue then take them off (with async parallelism) - (3)".
In this test I have a set of 10 tasks which run in parallel to do the 'enequeue' operation.
Then I have another 10 tasks which do the dequeue operation, which involves not only taking
the item off the list, but also calling stringModifyFunc which introduces a 1 ms processing delay.
I also wanted to prove that I got some performance benefit from
launching tasks in parallel and having the task steps communicate by passing their results through a
queue, so test 3 runs as a timed operation, and I found that it takes 1.9 seconds.
Tests (1) and (2) do the same amount of work, but serially -- The first with no intervening queue, and the second
using the queue to pass results between steps. These tests run in 13.6 and 15.6 seconds respectively
(which shows that the queue adds a bit of overhead, but that this is overshadowed by the efficiencies of running tasks in parallel.)
CORRECTED CODE
import akka.{Done, NotUsed}
import akka.actor.ActorSystem
import akka.event.{Logging, LoggingAdapter}
import akka.stream.scaladsl.{Flow, Keep, Sink, Source}
import akka.stream.{ActorMaterializer, Attributes, QueueOfferResult}
import org.scalatest.FunSuite
import scala.concurrent.duration._
import scala.concurrent.{Await, ExecutionContext, Future}
class Speco extends FunSuite {
implicit val actorSystem: ActorSystem = ActorSystem()
implicit val materializer: ActorMaterializer = ActorMaterializer()
implicit val log: LoggingAdapter = Logging(actorSystem.eventStream, "basis-test")
implicit val ec: ExecutionContext = actorSystem.dispatcher
val stringModifyFunc: String => String = element => {
Thread.sleep(1)
s"Modified $element"
}
def setup = {
val source = Source.queue[String](128, akka.stream.OverflowStrategy.backpressure)
val sink = Sink.queue[String]().withAttributes(Attributes.inputBuffer(128, 128))
val (sourceQueue, sinkQueue) = source.toMat(sink)(Keep.both).run()
val offers: Source[String, NotUsed] = Source(
(1 to iterations).map { i =>
s"item-$i"
}
)
(sourceQueue,sinkQueue,offers)
}
val outer = 10
val inner = 1000
val iterations = outer * inner
def timedOperation[T](block : => T) = {
val t0 = System.nanoTime()
val result: T = block // call-by-name
val t1 = System.nanoTime()
println("Elapsed time: " + (t1 - t0) / (1000 * 1000) + " milliseconds")
result
}
test("20k iterations in single threaded loop no queue (1)") {
timedOperation{
(1 to iterations).foreach { i =>
val str = stringModifyFunc(s"tag-${i.toString}")
System.out.println("str:" + str);
}
}
}
test("20k iterations in single threaded loop with queue (2)") {
timedOperation{
val (sourceQueue, sinkQueue, offers) = setup
val resultFuture: Future[Done] = offers.runForeach{ str =>
val itemFuture = for {
_ <- sourceQueue.offer(str)
item <- sinkQueue.pull()
} yield (stringModifyFunc(item.getOrElse("failed")) )
val item = Await.result(itemFuture, 10.second)
System.out.println("item:" + item);
}
val result = Await.result(resultFuture, 20.second)
System.out.println("result:" + result);
}
}
test("put items on queue then take them off (with async parallelism) - (3)") {
timedOperation{
val (sourceQueue, sinkQueue, offers) = setup
def enqueue(str: String) = sourceQueue.offer(str)
def dequeue = {
sinkQueue.pull().map{
maybeStr =>
val str = stringModifyFunc( maybeStr.getOrElse("failed2"))
println(s"dequeud value is $str")
}
}
val offerResults: Source[QueueOfferResult, NotUsed] =
offers.mapAsyncUnordered(10){ string => enqueue(string)}
val dequeueResults: Source[Unit, NotUsed] = offerResults.mapAsyncUnordered(10){ _ => dequeue }
val runAll: Future[Done] = dequeueResults.runForeach(u => u)
Await.result(runAll, 20.second)
}
}
}
I have n sources that I'd like to merge by priority in Akka streams. I'm basing my implementation on the GraphMergePrioritiziedSpec, in which three prioritized sources are merged. I attempted to abstract away the number of Sources with the following:
import akka.NotUsed
import akka.stream.{ClosedShape, Graph, Materializer}
import akka.stream.scaladsl.{GraphDSL, MergePrioritized, RunnableGraph, Sink, Source}
import org.apache.activemq.ActiveMQConnectionFactory
class SourceMerger(
sources: Seq[Source[java.io.Serializable, NotUsed]],
priorities: Seq[Int],
private val sink: Sink[java.io.Serializable, _]
) {
require(sources.size == priorities.size, "Each source should have a priority")
import GraphDSL.Implicits._
private def partial(
sources: Seq[Source[java.io.Serializable, NotUsed]],
priorities: Seq[Int],
sink: Sink[java.io.Serializable, _]
): Graph[ClosedShape, NotUsed] = GraphDSL.create() { implicit b =>
val merge = b.add(MergePrioritized[java.io.Serializable](priorities))
sources.zipWithIndex.foreach { case (s, i) =>
s.shape.out ~> merge.in(i)
}
merge.out ~> sink
ClosedShape
}
def merge(
sources: Seq[Source[java.io.Serializable, NotUsed]],
priorities: Seq[Int],
sink: Sink[java.io.Serializable, _]
): RunnableGraph[NotUsed] = RunnableGraph.fromGraph(partial(sources, priorities, sink))
def run()(implicit mat: Materializer): NotUsed = merge(sources, priorities, sink).run()(mat)
}
However, I get an error when running the following stub:
import akka.actor.ActorSystem
import akka.stream.{ActorMaterializer, Materializer}
import akka.stream.scaladsl.{Sink, Source}
import org.scalatest.{Matchers, WordSpecLike}
import akka.testkit.TestKit
import scala.collection.immutable.Iterable
class SourceMergerSpec extends TestKit(ActorSystem("SourceMerger")) with WordSpecLike with Matchers {
implicit val materializer: Materializer = ActorMaterializer()
"A SourceMerger" should {
"merge by priority" in {
val priorities: Seq[Int] = Seq(1,2,3)
val highPriority = Iterable("message1", "message2", "message3")
val mediumPriority = Iterable("message4", "message5", "message6")
val lowPriority = Iterable("message7", "message8", "message9")
val source1 = Source[String](highPriority)
val source2 = Source[String](mediumPriority)
val source3 = Source[String](lowPriority)
val sources = Seq(source1, source2, source3)
val subscriber = Sink.seq[java.io.Serializable]
val merger = new SourceMerger(sources, priorities, subscriber)
merger.run()
source1.runWith(Sink.foreach(println))
}
}
}
The relevant stacktrace is here:
[StatefulMapConcat.out] is already connected
java.lang.IllegalArgumentException: [StatefulMapConcat.out] is already connected
at akka.stream.scaladsl.GraphDSL$Builder.addEdge(Graph.scala:1304)
at akka.stream.scaladsl.GraphDSL$Implicits$CombinerBase$class.$tilde$greater(Graph.scala:1431)
at akka.stream.scaladsl.GraphDSL$Implicits$PortOpsImpl.$tilde$greater(Graph.scala:1521)
at SourceMerger$$anonfun$partial$1$$anonfun$apply$1.apply(SourceMerger.scala:26)
at SourceMerger$$anonfun$partial$1$$anonfun$apply$1.apply(SourceMerger.scala:25)
It seems that the error comes from this:
sources.zipWithIndex.foreach { case (s, i) =>
s.shape.out ~> merge.in(i)
}
Is it possible to merge an arbitrary number of Sources in Akka streams Graph DSL? If so, why isn't my attempt successful?
Primary Problem with Code Example
One big issue with the code snippet provided in the question is that source1 is connected to the Sink from the merge call and the Sink.foreach(println). The same Source cannot be connected to multiple Sinks without an intermediate fan-out element.
Removing the Sink.foreach(println) may solve your problem outright.
Simplified Design
The merging can be simplified based on the fact that all messages from a particular Source have the same priority. This means that you can sort the sources by their respective priority and then concatenate them all together:
private def partial(sources: Seq[Source[java.io.Serializable, NotUsed]],
priorities: Seq[Int],
sink: Sink[java.io.Serializable, _]): RunnableGraph[NotUsed] =
sources.zip(priorities)
.sortWith(_._2 < _._2)
.map(_._1)
.reduceOption(_ ++ _)
.getOrElse(Source.empty[java.io.Serializable])
.to(sink)
Your code runs without the error if I replace
sources.zipWithIndex.foreach { case (s, i) =>
s.shape.out ~> merge.in(i)
}
with
sources.zipWithIndex.foreach { case (s, i) =>
s ~> merge.in(i)
}
I admit I'm not quite sure why! At any rate, s.shape is a StatefulMapConcat and that's the point where it's complaining about the out port already being connected. The problem occurs even if you only pass a single source, so the arbitrary number isn't the problem.
I'm starting to learn Akka Stream. I have a problem that I simplified to this:
import akka.actor.ActorSystem
import akka.stream.{ActorMaterializer, ClosedShape}
import akka.stream.scaladsl.{GraphDSL, RunnableGraph, Sink, Source}
object Test extends App {
val graph = GraphDSL.create() { implicit b =>
val in = Source.fromIterator(() => (1 to 10).iterator.map(_.toDouble))
b.add(in)
val out = Sink.foreach[Double] { d =>
println(s"elem: $d")
}
b.add(out)
in.to(out)
ClosedShape
}
implicit val system = ActorSystem()
implicit val mat = ActorMaterializer()
val rg = RunnableGraph.fromGraph(graph)
rg.run()
}
This throws a runtime exception:
Exception in thread "main" java.lang.IllegalArgumentException: requirement failed: The inlets [] and outlets [] must correspond to the inlets [map.in] and outlets [StatefulMapConcat.out]
The problem is, in my actual case I cannot use the ~> operator from GraphDSL.Implicits, because there is no common super-type of Source and Flow (my graph is created from another DSL and not in one single place). So I can only use b.add and in.to(out).
It seems one has to use a special "copy" of the outlet that one gets from builder.add:
val graph = GraphDSL.create() { implicit b =>
val in = Source.fromIterator(() => (1 to 10).iterator.map(_.toDouble))
val out = Sink.foreach[Double] { d =>
println(s"elem: $d")
}
import GraphDSL.Implicits._
val inOutlet = b.add(in).out
// ... pass inOutlet around until ...
inOutlet ~> out
ClosedShape
}
So I have a function with this signature (akka.http.model.HttpResponse):
def apply(query: Seq[(String, String)], accept: String): HttpResponse
I simply get a value in a test like:
val resp = TagAPI(Seq.empty[(String, String)], api.acceptHeader)
I want to check its body in a test something like:
resp.entity.asString == "tags"
My question is how I can get the response body as string?
import akka.http.scaladsl.unmarshalling.Unmarshal
implicit val system = ActorSystem("System")
implicit val materializer = ActorFlowMaterializer()
val responseAsString: Future[String] = Unmarshal(entity).to[String]
Since Akka Http is streams based, the entity is streaming as well. If you really need the entire string at once, you can convert the incoming request into a Strict one:
This is done by using the toStrict(timeout: FiniteDuration)(mat: Materializer) API to collect the request into a strict entity within a given time limit (this is important since you don't want to "try to collect the entity forever" in case the incoming request does actually never end):
import akka.stream.ActorFlowMaterializer
import akka.actor.ActorSystem
implicit val system = ActorSystem("Sys") // your actor system, only 1 per app
implicit val materializer = ActorFlowMaterializer() // you must provide a materializer
import system.dispatcher
import scala.concurrent.duration._
val timeout = 300.millis
val bs: Future[ByteString] = entity.toStrict(timeout).map { _.data }
val s: Future[String] = bs.map(_.utf8String) // if you indeed need a `String`
You can also try this one also.
responseObject.entity.dataBytes.runFold(ByteString(""))(_ ++ _).map(_.utf8String) map println
Unmarshaller.stringUnmarshaller(someHttpEntity)
works like a charm, implicit materializer needed as well
Here is simple directive that extracts string from request's body
def withString(): Directive1[String] = {
extractStrictEntity(3.seconds).flatMap { entity =>
provide(entity.data.utf8String)
}
}
Unfortunately in my case, Unmarshal to String didn't work properly complaining on: Unsupported Content-Type, supported: application/json. That would be more elegant solution, but I had to use another way. In my test I used Future extracted from entity of the response and Await (from scala.concurrent) to get the result from the Future:
Put("/post/item", requestEntity) ~> route ~> check {
val responseContent: Future[Option[String]] =
response.entity.dataBytes.map(_.utf8String).runWith(Sink.lastOption)
val content: Option[String] = Await.result(responseContent, 10.seconds)
content.get should be(errorMessage)
response.status should be(StatusCodes.InternalServerError)
}
If you need to go through all lines in a response, you can use runForeach of Source:
response.entity.dataBytes.map(_.utf8String).runForeach(data => println(data))
Here is my working example,
import akka.actor.ActorSystem
import akka.http.scaladsl.Http
import akka.http.scaladsl.model._
import akka.stream.ActorMaterializer
import akka.util.ByteString
import scala.concurrent.Future
import scala.util.{ Failure, Success }
def getDataAkkaHTTP:Unit = {
implicit val system = ActorSystem()
implicit val materializer = ActorMaterializer()
// needed for the future flatMap/onComplete in the end
implicit val executionContext = system.dispatcher
val url = "http://localhost:8080/"
val responseFuture: Future[HttpResponse] = Http().singleRequest(HttpRequest(uri = url))
responseFuture.onComplete {
case Success(res) => {
val HttpResponse(statusCodes, headers, entity, _) = res
println(entity)
entity.dataBytes.runFold(ByteString(""))(_ ++ _).foreach (body => println(body.utf8String))
system.terminate()
}
case Failure(_) => sys.error("something wrong")
}
}