pekko/akka-docs/rst/java/code/docs/stream/TwitterStreamQuickstartDocTest.java
Roland Kuhn 4c72495581 #19440 replace Scala Future usage with CompletionStage in javadsl
This entails:

  * adding akka.pattern.PatternCS.* to enable ask etc. with
    CompletionStage
  * changing RequestContext to offer an ExecutionContextExecutor for the
    CompletionStage.*Async combinators
  * splitting up akka.stream.Queue for JavaDSL consistency
2016-01-23 18:00:11 +01:00

362 lines
10 KiB
Java

/**
* Copyright (C) 2015 Typesafe Inc. <http://www.typesafe.com>
*/
package docs.stream;
import akka.Done;
import akka.NotUsed;
import akka.actor.ActorSystem;
import akka.dispatch.Foreach;
import akka.japi.JavaPartialFunction;
import akka.testkit.JavaTestKit;
import akka.stream.*;
import akka.stream.javadsl.*;
import docs.stream.TwitterStreamQuickstartDocTest.Model.Author;
import docs.stream.TwitterStreamQuickstartDocTest.Model.Hashtag;
import docs.stream.TwitterStreamQuickstartDocTest.Model.Tweet;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
import scala.concurrent.Await;
import scala.concurrent.Future;
import scala.concurrent.duration.FiniteDuration;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Set;
import java.util.concurrent.CompletionStage;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import java.util.stream.Collectors;
import static docs.stream.TwitterStreamQuickstartDocTest.Model.AKKA;
import static docs.stream.TwitterStreamQuickstartDocTest.Model.tweets;
@SuppressWarnings("unused")
public class TwitterStreamQuickstartDocTest {
static ActorSystem system;
@BeforeClass
public static void setup() {
system = ActorSystem.create("SampleActorTest");
}
@AfterClass
public static void tearDown() {
JavaTestKit.shutdownActorSystem(system);
system = null;
}
static abstract class Model {
//#model
public static class Author {
public final String handle;
public Author(String handle) {
this.handle = handle;
}
// ...
//#model
@Override
public String toString() {
return "Author(" + handle + ")";
}
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
Author author = (Author) o;
if (handle != null ? !handle.equals(author.handle) : author.handle != null) {
return false;
}
return true;
}
@Override
public int hashCode() {
return handle != null ? handle.hashCode() : 0;
}
//#model
}
//#model
//#model
public static class Hashtag {
public final String name;
public Hashtag(String name) {
this.name = name;
}
// ...
//#model
@Override
public int hashCode() {
return name.hashCode();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (getClass() != obj.getClass())
return false;
Hashtag other = (Hashtag) obj;
return name.equals(other.name);
}
@Override
public String toString() {
return "Hashtag(" + name + ")";
}
//#model
}
//#model
//#model
public static class Tweet {
public final Author author;
public final long timestamp;
public final String body;
public Tweet(Author author, long timestamp, String body) {
this.author = author;
this.timestamp = timestamp;
this.body = body;
}
public Set<Hashtag> hashtags() {
return Arrays.asList(body.split(" ")).stream()
.filter(a -> a.startsWith("#"))
.map(a -> new Hashtag(a))
.collect(Collectors.toSet());
}
// ...
//#model
@Override
public String toString() {
return "Tweet(" + author + "," + timestamp + "," + body + ")";
}
//#model
}
//#model
//#model
public static final Hashtag AKKA = new Hashtag("#akka");
//#model
public static final Source<Tweet, NotUsed> tweets = Source.from(
Arrays.asList(new Tweet[] {
new Tweet(new Author("rolandkuhn"), System.currentTimeMillis(), "#akka rocks!"),
new Tweet(new Author("patriknw"), System.currentTimeMillis(), "#akka !"),
new Tweet(new Author("bantonsson"), System.currentTimeMillis(), "#akka !"),
new Tweet(new Author("drewhk"), System.currentTimeMillis(), "#akka !"),
new Tweet(new Author("ktosopl"), System.currentTimeMillis(), "#akka on the rocks!"),
new Tweet(new Author("mmartynas"), System.currentTimeMillis(), "wow #akka !"),
new Tweet(new Author("akkateam"), System.currentTimeMillis(), "#akka rocks!"),
new Tweet(new Author("bananaman"), System.currentTimeMillis(), "#bananas rock!"),
new Tweet(new Author("appleman"), System.currentTimeMillis(), "#apples rock!"),
new Tweet(new Author("drama"), System.currentTimeMillis(), "we compared #apples to #oranges!")
}));
}
static abstract class Example0 {
//#tweet-source
Source<Tweet, NotUsed> tweets;
//#tweet-source
}
static abstract class Example1 {
//#first-sample
//#materializer-setup
final ActorSystem system = ActorSystem.create("reactive-tweets");
final Materializer mat = ActorMaterializer.create(system);
//#first-sample
//#materializer-setup
}
static class Example2 {
public void run(final Materializer mat) throws TimeoutException, InterruptedException, ExecutionException {
//#backpressure-by-readline
final CompletionStage<Done> completion =
Source.from(Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))
.map(i -> { System.out.println("map => " + i); return i; })
.runForeach(i -> System.console().readLine("Element = %s continue reading? [press enter]\n", i), mat);
completion.toCompletableFuture().get(1, TimeUnit.SECONDS);
//#backpressure-by-readline
}
}
final Materializer mat = ActorMaterializer.create(system);
@Test
public void demonstrateFilterAndMap() {
final SilenceSystemOut.System System = SilenceSystemOut.get();
//#first-sample
//#authors-filter-map
final Source<Author, NotUsed> authors =
tweets
.filter(t -> t.hashtags().contains(AKKA))
.map(t -> t.author);
//#first-sample
//#authors-filter-map
new Object() {
//#authors-collect
JavaPartialFunction<Tweet, Author> collectFunction =
new JavaPartialFunction<Tweet, Author>() {
public Author apply(Tweet t, boolean isCheck) {
if (t.hashtags().contains(AKKA)) {
if (isCheck) return null; // to spare the expensive or side-effecting code
return t.author;
} else {
throw noMatch();
}
}
};
final Source<Author, NotUsed> authors =
tweets.collect(collectFunction);
//#authors-collect
};
//#first-sample
//#authors-foreachsink-println
authors.runWith(Sink.foreach(a -> System.out.println(a)), mat);
//#first-sample
//#authors-foreachsink-println
//#authors-foreach-println
authors.runForeach(a -> System.out.println(a), mat);
//#authors-foreach-println
}
@Test
public void demonstrateMapConcat() {
//#hashtags-mapConcat
final Source<Hashtag, NotUsed> hashtags =
tweets.mapConcat(t -> new ArrayList<Hashtag>(t.hashtags()));
//#hashtags-mapConcat
}
static abstract class HiddenDefinitions {
//#flow-graph-broadcast
Sink<Author, NotUsed> writeAuthors;
Sink<Hashtag, NotUsed> writeHashtags;
//#flow-graph-broadcast
}
@Test
public void demonstrateBroadcast() {
final Sink<Author, CompletionStage<Done>> writeAuthors = Sink.ignore();
final Sink<Hashtag, CompletionStage<Done>> writeHashtags = Sink.ignore();
//#flow-graph-broadcast
RunnableGraph.fromGraph(GraphDSL.create(b -> {
final UniformFanOutShape<Tweet, Tweet> bcast = b.add(Broadcast.create(2));
final FlowShape<Tweet, Author> toAuthor =
b.add(Flow.of(Tweet.class).map(t -> t.author));
final FlowShape<Tweet, Hashtag> toTags =
b.add(Flow.of(Tweet.class).mapConcat(t -> new ArrayList<Hashtag>(t.hashtags())));
final SinkShape<Author> authors = b.add(writeAuthors);
final SinkShape<Hashtag> hashtags = b.add(writeHashtags);
b.from(b.add(tweets)).viaFanOut(bcast).via(toAuthor).to(authors);
b.from(bcast).via(toTags).to(hashtags);
return ClosedShape.getInstance();
})).run(mat);
//#flow-graph-broadcast
}
long slowComputation(Tweet t) {
try {
// act as if performing some heavy computation
Thread.sleep(500);
} catch (InterruptedException e) {}
return 42;
}
@Test
public void demonstrateSlowProcessing() {
//#tweets-slow-consumption-dropHead
tweets
.buffer(10, OverflowStrategy.dropHead())
.map(t -> slowComputation(t))
.runWith(Sink.ignore(), mat);
//#tweets-slow-consumption-dropHead
}
@Test
public void demonstrateCountOnFiniteStream() {
//#tweets-fold-count
final Sink<Integer, CompletionStage<Integer>> sumSink =
Sink.<Integer, Integer>fold(0, (acc, elem) -> acc + elem);
final RunnableGraph<CompletionStage<Integer>> counter =
tweets.map(t -> 1).toMat(sumSink, Keep.right());
final CompletionStage<Integer> sum = counter.run(mat);
sum.thenAcceptAsync(c -> System.out.println("Total tweets processed: " + c),
system.dispatcher());
//#tweets-fold-count
new Object() {
//#tweets-fold-count-oneline
final CompletionStage<Integer> sum = tweets.map(t -> 1).runWith(sumSink, mat);
//#tweets-fold-count-oneline
};
}
@Test
public void demonstrateMaterializeMultipleTimes() {
final Source<Tweet, NotUsed> tweetsInMinuteFromNow = tweets; // not really in second, just acting as if
//#tweets-runnable-flow-materialized-twice
final Sink<Integer, CompletionStage<Integer>> sumSink =
Sink.<Integer, Integer>fold(0, (acc, elem) -> acc + elem);
final RunnableGraph<CompletionStage<Integer>> counterRunnableGraph =
tweetsInMinuteFromNow
.filter(t -> t.hashtags().contains(AKKA))
.map(t -> 1)
.toMat(sumSink, Keep.right());
// materialize the stream once in the morning
final CompletionStage<Integer> morningTweetsCount = counterRunnableGraph.run(mat);
// and once in the evening, reusing the blueprint
final CompletionStage<Integer> eveningTweetsCount = counterRunnableGraph.run(mat);
//#tweets-runnable-flow-materialized-twice
}
}