Kafka und OpenAI
sind die Zukunft der Datenanalyse

				
					@SpringBootApplication
@EnableKafka
public class KafkaOpenAIIntegration {

  public static void main(String[] args) {
      SpringApplication.run(KafkaOpenAIIntegration.class, args);
  }
  
  @KafkaListener(topics = "your-kafka-topic", groupId = "openai-consumer-group")
  public void processKafkaMessage(@Payload GenericRecord kafkaMessage) {
      String eventData = kafkaMessage.get("event").toString();
      System.out.println("Received Kafka message: " + eventData);
  
      // Your OpenAI API key
      String apiKey = "YOUR_OPENAI_API_KEY";
  
      // OpenAI session ID
      String sessionId = "YOUR_SESSION_ID";
  
      // OpenAI API endpoint
      String apiUrl = "<https://api.openai.com/v1/sessions/"> + sessionId + "/add_event/";
  
      // Create an OkHttpClient instance
      OkHttpClient client = new OkHttpClient();
  
      // Prepare the JSON request body
      String requestBody = "{\\"event\\": \\"" + eventData + "\\"}";
  
      // Build the HTTP request
      RequestBody body = RequestBody.create(MediaType.parse("application/json"), requestBody);
      Request request = new Request.Builder()
              .url(apiUrl)
              .addHeader("Content-Type", "application/json")
              .addHeader("Authorization", "Bearer " + apiKey)
              .post(body)
              .build();
  
      try {
          // Execute the request and get the response
          Response response = client.newCall(request).execute();
  
          // Check the response
          if (response.isSuccessful()) {
              System.out.println("Event sent successfully to OpenAI session.");
          } else {
              System.out.println("Failed to send event to OpenAI. Response code: " + response.code());
          }
  
          // Close the response
          response.close();
  
      } catch (Exception e) {
          e.printStackTrace();
      }
  }
  
  // Configure Kafka consumer factory with Avro deserializer and Schema Registry integration
  // Note: You need to configure your Kafka properties here
  // For simplicity, this example uses Avro deserializers
  // You might need to customize the configuration to match your setup
  // Alternatively, use application.properties/yml for configuration
  public ConsumerFactory<String, GenericRecord> consumerFactory() {
      Map<String, Object> props = new HashMap<>();
      props.put("bootstrap.servers", "your-kafka-broker");
      props.put("group.id", "openai-consumer-group");
      props.put("key.deserializer", ErrorHandlingDeserializer.class);
      props.put("value.deserializer", KafkaAvroDeserializer.class);
      props.put("auto.register.schemas", true);
      props.put("schema.registry.url", "<http://your-schema-registry");>
      return new DefaultKafkaConsumerFactory<>(props);
  }

  // Configure Kafka listener container factory
  // For error handling and backoff, customize as needed
  public ConcurrentKafkaListenerContainerFactory<String, GenericRecord> kafkaListenerContainerFactory() {
      ConcurrentKafkaListenerContainerFactory<String, GenericRecord> factory = new ConcurrentKafkaListenerContainerFactory<>();
      factory.setConsumerFactory(consumerFactory());
      factory.setErrorHandler((thrownException, data) -> {
          // Handle errors
      });
      factory.setRetryTemplate(new FixedBackOff(1000L, 3)); // Retry with 1 second interval, up to 3 retries
      return factory;
  }
}