splitter: 1.1.4 - Moved code for config/init into `SplitterApplication`
[demos/kafka/wordcount] / src / main / java / de / juplo / kafka / wordcount / splitter / SplitterStreamProcessor.java
index 7218d6f..60c569b 100644 (file)
@@ -1,74 +1,48 @@
 package de.juplo.kafka.wordcount.splitter;
 
 import lombok.extern.slf4j.Slf4j;
-import org.apache.kafka.clients.consumer.ConsumerConfig;
-import org.apache.kafka.common.serialization.Serdes;
 import org.apache.kafka.streams.KafkaStreams;
 import org.apache.kafka.streams.StreamsBuilder;
-import org.apache.kafka.streams.StreamsConfig;
 import org.apache.kafka.streams.kstream.KStream;
-import org.springframework.boot.SpringApplication;
-import org.springframework.context.ConfigurableApplicationContext;
-import org.springframework.stereotype.Component;
 
-import javax.annotation.PostConstruct;
-import javax.annotation.PreDestroy;
 import java.util.Arrays;
 import java.util.Properties;
-import java.util.concurrent.CompletableFuture;
 import java.util.regex.Pattern;
 
-import static org.apache.kafka.streams.errors.StreamsUncaughtExceptionHandler.StreamThreadExceptionResponse.SHUTDOWN_CLIENT;
-
 
 @Slf4j
-@Component
 public class SplitterStreamProcessor
 {
-       final static Pattern PATTERN = Pattern.compile("\\W+");
+       final static Pattern PATTERN = Pattern.compile("[^\\p{IsAlphabetic}]+");
 
        public final KafkaStreams streams;
 
 
        public SplitterStreamProcessor(
-                       SplitterApplicationProperties properties,
-                       ConfigurableApplicationContext context)
+                       String inputTopic,
+                       String outputTopic,
+                       Properties properties)
        {
                StreamsBuilder builder = new StreamsBuilder();
 
-               KStream<String, String> source = builder.stream(properties.getInputTopic());
-               source
-                               .flatMapValues(sentence -> Arrays.asList(PATTERN.split(sentence)))
-                               .to(properties.getOutputTopic());
+               KStream<String, Recording> source = builder.stream(inputTopic);
 
-               Properties props = new Properties();
-               props.put(StreamsConfig.APPLICATION_ID_CONFIG, properties.getApplicationId());
-               props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, properties.getBootstrapServer());
-               props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
-               props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
-               props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
+               source
+                               .flatMapValues(recording -> Arrays
+                                                       .stream(PATTERN.split(recording.getSentence()))
+                                                       .map(word -> Word.of(recording.getUser(), word))
+                                                       .toList())
+                               .to(outputTopic);
 
-               streams = new KafkaStreams(builder.build(), props);
-               streams.setUncaughtExceptionHandler((Throwable e) ->
-               {
-                       log.error("Unexpected error!", e);
-                       CompletableFuture.runAsync(() ->
-                       {
-                               log.info("Stopping application...");
-                               SpringApplication.exit(context, () -> 1);
-                       });
-                       return SHUTDOWN_CLIENT;
-               });
+               streams = new KafkaStreams(builder.build(), properties);
        }
 
-       @PostConstruct
        public void start()
        {
                log.info("Starting Stream-Processor");
                streams.start();
        }
 
-       @PreDestroy
        public void stop()
        {
                log.info("Stopping Stream-Processor");