Examples with Tester com.ibm.streamsx.topology.tester.Tester used on opensource projects

Example 81 with Tester

use of com.ibm.streamsx.topology.tester.Tester in project streamsx.kafka by IBMStreams.

the class KafkaProducerFanOutTest method kafkaFanOutTest.

@Test
public void kafkaFanOutTest() throws Exception {
    Topology topo = getTopology();
    // create the producers (produces tuples after a short delay)
    TStream<String> stringSrcStream = topo.strings(Constants.STRING_DATA).modify(new Delay<>(5000)).lowLatency();
    SPL.invokeSink(Constants.KafkaProducerOp, KafkaSPLStreamsUtils.convertStreamToKafkaTuple(stringSrcStream), getKafkaParams());
    SPL.invokeSink(Constants.KafkaProducerOp, KafkaSPLStreamsUtils.convertStreamToKafkaTuple(stringSrcStream), getKafkaParams());
    // create the consumer
    SPLStream consumerStream = SPL.invokeSource(topo, Constants.KafkaConsumerOp, getKafkaParams(), KafkaSPLStreamsUtils.STRING_SCHEMA);
    SPLStream msgStream = SPLStreams.stringToSPLStream(consumerStream.convert(t -> t.getString("message")));
    // test the output of the consumer
    StreamsContext<?> context = StreamsContextFactory.getStreamsContext(Type.DISTRIBUTED_TESTER);
    Tester tester = topo.getTester();
    // both producers are sending the same data, so each result is duplicated
    String[] expectedArr = KafkaSPLStreamsUtils.duplicateArrayEntries(Constants.STRING_DATA, 2);
    Condition<List<String>> condition = KafkaSPLStreamsUtils.stringContentsUnordered(tester, msgStream, expectedArr);
    tester.complete(context, new HashMap<>(), condition, 30, TimeUnit.SECONDS);
    // check the results
    Assert.assertTrue(condition.getResult().size() > 0);
    Assert.assertTrue(condition.getResult().toString(), condition.valid());
}

Example 82 with Tester

use of com.ibm.streamsx.topology.tester.Tester in project streamsx.kafka by IBMStreams.

the class KafkaProducerPartitionAttrTest method kafkaProducerPartitionAttrTest.

@Test
public void kafkaProducerPartitionAttrTest() throws Exception {
    Topology topo = getTopology();
    topo.addFileDependency("etc/custom_partitioner.properties", "etc");
    topo.addFileDependency("etc/custompartitioner.jar", "etc");
    // create producer
    TStream<Message<Integer, String>> src = topo.limitedSource(new MySupplier(), 9).modify(new Delay<>(Constants.PRODUCER_DELAY));
    SPLStream outStream = SPLStreams.convertStream(src, new MessageConverter(), PRODUCER_SCHEMA);
    SPL.invokeSink(Constants.KafkaProducerOp, outStream, getKafkaProducerParams());
    // create the consumers
    SPLStream msgStream1 = createConsumer(topo, PARTITION_NUM);
    TStream<String> unionStream = msgStream1.transform(t -> t.getString("message"));
    SPLStream msgStream = SPLStreams.stringToSPLStream(unionStream);
    StreamsContext<?> context = StreamsContextFactory.getStreamsContext(Type.DISTRIBUTED_TESTER);
    Tester tester = topo.getTester();
    String[] expectedArr = { "A0", "B1", "C2", "A3", "B4", "C5", "A6", "B7", "C8" };
    Condition<List<String>> condition = KafkaSPLStreamsUtils.stringContentsUnordered(tester, msgStream, expectedArr);
    tester.complete(context, new HashMap<>(), condition, 30, TimeUnit.SECONDS);
    // check the results
    Assert.assertTrue(condition.getResult().size() > 0);
    Assert.assertTrue(condition.getResult().toString(), condition.valid());
}