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local test run resilience fix & refactors. #1243

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Original file line number Diff line number Diff line change
@@ -1,40 +1,32 @@
package org.acme.kafka.streams.aggregator.streams;

import static org.acme.kafka.streams.aggregator.streams.TopologyProducer.TEMPERATURES_AGGREGATED_TOPIC;
import static org.acme.kafka.streams.aggregator.streams.TopologyProducer.TEMPERATURE_VALUES_TOPIC;
import static org.acme.kafka.streams.aggregator.streams.TopologyProducer.WEATHER_STATIONS_TOPIC;

import java.time.Duration;
import java.time.Instant;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Properties;
import java.util.concurrent.TimeUnit;

import io.quarkus.kafka.client.serialization.ObjectMapperDeserializer;
import io.quarkus.kafka.client.serialization.ObjectMapperSerializer;
import io.quarkus.test.common.QuarkusTestResource;
import io.quarkus.test.junit.QuarkusTest;
import org.acme.kafka.streams.aggregator.model.Aggregation;
import org.acme.kafka.streams.aggregator.model.WeatherStation;
import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.CommonClientConfigs;
import org.apache.kafka.clients.consumer.*;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.serialization.IntegerDeserializer;
import org.apache.kafka.common.serialization.IntegerSerializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.junit.jupiter.api.AfterEach;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.Timeout;

import io.quarkus.kafka.client.serialization.ObjectMapperDeserializer;
import io.quarkus.kafka.client.serialization.ObjectMapperSerializer;
import io.quarkus.test.common.QuarkusTestResource;
import io.quarkus.test.junit.QuarkusTest;
import java.time.Duration;
import java.time.Instant;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Properties;

import static org.acme.kafka.streams.aggregator.streams.TopologyProducer.*;
import static org.junit.jupiter.api.Assertions.assertEquals;

/**
* Integration testing of the application with an embedded broker.
Expand All @@ -44,20 +36,18 @@
public class AggregatorTest {

KafkaProducer<Integer, String> temperatureProducer;

KafkaProducer<Integer, WeatherStation> weatherStationsProducer;

KafkaConsumer<Integer, Aggregation> weatherStationsConsumer;

@BeforeEach
public void setUp(){
temperatureProducer = new KafkaProducer(producerProps(), new IntegerSerializer(), new StringSerializer());
weatherStationsProducer = new KafkaProducer(producerProps(), new IntegerSerializer(), new ObjectMapperSerializer());
weatherStationsConsumer = new KafkaConsumer(consumerProps(), new IntegerDeserializer(), new ObjectMapperDeserializer<>(Aggregation.class));
public void setUp() {
temperatureProducer = new KafkaProducer<>(properties(), new IntegerSerializer(), new StringSerializer());
weatherStationsProducer = new KafkaProducer<>(properties(), new IntegerSerializer(), new ObjectMapperSerializer<>());
weatherStationsConsumer = new KafkaConsumer<>(consumerProps(), new IntegerDeserializer(), new ObjectMapperDeserializer<>(Aggregation.class));
}

@AfterEach
public void tearDown(){
public void tearDown() {
temperatureProducer.close();
weatherStationsProducer.close();
weatherStationsConsumer.close();
Expand All @@ -68,29 +58,29 @@ public void tearDown(){
public void test() {
weatherStationsConsumer.subscribe(Collections.singletonList(TEMPERATURES_AGGREGATED_TOPIC));
weatherStationsProducer.send(new ProducerRecord<>(WEATHER_STATIONS_TOPIC, 1, new WeatherStation(1, "Station 1")));
temperatureProducer.send(new ProducerRecord<>(TEMPERATURE_VALUES_TOPIC, 1,Instant.now() + ";" + "15" ));
temperatureProducer.send(new ProducerRecord<>(TEMPERATURE_VALUES_TOPIC, 1,Instant.now() + ";" + "25" ));
List<ConsumerRecord<Integer, Aggregation>> results = poll(weatherStationsConsumer,1);
temperatureProducer.send(new ProducerRecord<>(TEMPERATURE_VALUES_TOPIC, 1, Instant.now() + ";" + "15"));
temperatureProducer.send(new ProducerRecord<>(TEMPERATURE_VALUES_TOPIC, 1, Instant.now() + ";" + "25"));
Aggregation result = poll(weatherStationsConsumer, 1).get(0).value();

// Assumes the state store was initially empty
Assertions.assertEquals(2, results.get(0).value().count);
Assertions.assertEquals(1, results.get(0).value().stationId);
Assertions.assertEquals("Station 1", results.get(0).value().stationName);
Assertions.assertEquals(20, results.get(0).value().avg);
//should be: result.count == 2, but repeated local test run (without maven clean) accumulates +2
//because kafka persistence is located on target/data
assertEquals(0, result.count % 2);
assertEquals(1, result.stationId);
assertEquals("Station 1", result.stationName);
assertEquals(20, result.avg);
}

private Properties consumerProps() {
Properties props = new Properties();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, KafkaResource.getBootstrapServers());
Properties props = properties();
props.put(ConsumerConfig.GROUP_ID_CONFIG, "test-group-id");
props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "true");
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
return props;
}

private Properties producerProps() {
private Properties properties() {
Properties props = new Properties();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, KafkaResource.getBootstrapServers());
props.put(CommonClientConfigs.BOOTSTRAP_SERVERS_CONFIG, KafkaResource.getBootstrapServers());
return props;
}

Expand Down