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+package cn.iocoder.yudao.module.iot.service.rule.action.databridge;
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+
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+import cn.iocoder.yudao.module.iot.dal.dataobject.rule.IotDataBridgeDO;
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+import cn.iocoder.yudao.module.iot.enums.rule.IotDataBridgTypeEnum;
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+import cn.iocoder.yudao.module.iot.mq.message.IotDeviceMessage;
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+import lombok.extern.slf4j.Slf4j;
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+import org.apache.kafka.clients.producer.ProducerConfig;
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+import org.apache.kafka.common.serialization.StringSerializer;
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+import org.springframework.kafka.core.DefaultKafkaProducerFactory;
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+import org.springframework.kafka.core.KafkaTemplate;
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+import org.springframework.stereotype.Component;
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+
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+import java.time.LocalDateTime;
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+import java.util.HashMap;
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+import java.util.Map;
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+import java.util.concurrent.TimeUnit;
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+import java.util.concurrent.TimeoutException;
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+
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+/**
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+ * Kafka 的 {@link IotDataBridgeExecute} 实现类
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+ *
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+ * @author HUIHUI
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+ */
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+@Component
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+@Slf4j
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+public class IotKafkaMQDataBridgeExecute extends AbstractCacheableDataBridgeExecute {
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+
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+ @Override
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+ public void execute(IotDeviceMessage message, IotDataBridgeDO dataBridge) {
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+ // 1.1 校验数据桥梁的类型 == KAFKA
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+ if (!IotDataBridgTypeEnum.KAFKA.getType().equals(dataBridge.getType())) {
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+ return;
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+ }
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+ // 1.2 执行 Kafka 发送消息
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+ executeKafka(message, (IotDataBridgeDO.KafkaMQConfig) dataBridge.getConfig());
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+ }
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+
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+ private void executeKafka(IotDeviceMessage message, IotDataBridgeDO.KafkaMQConfig config) {
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+ try {
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+ // 1. 获取或创建 KafkaTemplate
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+ KafkaTemplate<String, String> kafkaTemplate = (KafkaTemplate<String, String>) getProducer(config);
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+
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+ // 2. 发送消息并等待结果
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+ kafkaTemplate.send(config.getTopic(), message.toString())
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+ .get(10, TimeUnit.SECONDS); // 添加超时等待
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+ log.info("[executeKafka][message({}) 发送成功]", message);
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+ } catch (TimeoutException e) {
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+ log.error("[executeKafka][message({}) config({}) 发送超时]", message, config, e);
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+ } catch (Exception e) {
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+ log.error("[executeKafka][message({}) config({}) 发送异常]", message, config, e);
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+ }
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+ }
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+
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+ @Override
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+ protected Object initProducer(Object config) {
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+ IotDataBridgeDO.KafkaMQConfig kafkaConfig = (IotDataBridgeDO.KafkaMQConfig) config;
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+
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+ // 1.1 构建生产者配置
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+ Map<String, Object> props = new HashMap<>();
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+ props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaConfig.getBootstrapServers());
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+ props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
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+ props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
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+
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+ // 1.2 如果配置了认证信息
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+ if (kafkaConfig.getUsername() != null && kafkaConfig.getPassword() != null) {
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+ props.put("security.protocol", "SASL_PLAINTEXT");
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+ props.put("sasl.mechanism", "PLAIN");
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+ props.put("sasl.jaas.config",
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+ "org.apache.kafka.common.security.plain.PlainLoginModule required username=\""
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+ + kafkaConfig.getUsername() + "\" password=\"" + kafkaConfig.getPassword() + "\";");
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+ }
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+
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+ // 1.3 如果启用 SSL
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+ if (Boolean.TRUE.equals(kafkaConfig.getSsl())) {
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+ props.put("security.protocol", "SSL");
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+ }
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+
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+ // 2. 创建 KafkaTemplate
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+ DefaultKafkaProducerFactory<String, String> producerFactory = new DefaultKafkaProducerFactory<>(props);
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+ return new KafkaTemplate<>(producerFactory);
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+ }
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+
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+ @Override
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+ protected void closeProducer(Object producer) {
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+ if (producer instanceof KafkaTemplate) {
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+ ((KafkaTemplate<?, ?>) producer).destroy();
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+ }
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+ }
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+
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+ // TODO @芋艿:测试代码,后续清理
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+ public static void main(String[] args) {
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+ // 1. 创建一个共享的实例
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+ IotKafkaMQDataBridgeExecute action = new IotKafkaMQDataBridgeExecute();
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+
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+ // 2. 创建共享的配置
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+ IotDataBridgeDO.KafkaMQConfig config = new IotDataBridgeDO.KafkaMQConfig();
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+ config.setBootstrapServers("127.0.0.1:9092");
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+ config.setTopic("test-topic");
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+ config.setSsl(false);
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+ config.setUsername(null);
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+ config.setPassword(null);
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+
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+ // 3. 创建共享的消息
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+ IotDeviceMessage message = IotDeviceMessage.builder()
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+ .requestId("TEST-001")
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+ .productKey("testProduct")
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+ .deviceName("testDevice")
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+ .deviceKey("testDeviceKey")
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+ .type("property")
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+ .identifier("temperature")
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+ .data("{\"value\": 60}")
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+ .reportTime(LocalDateTime.now())
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+ .tenantId(1L)
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+ .build();
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+
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+ // 4. 执行两次测试,验证缓存
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+ log.info("[main][第一次执行,应该会创建新的 producer]");
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+ action.executeKafka(message, config);
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+
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+ log.info("[main][第二次执行,应该会复用缓存的 producer]");
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+ action.executeKafka(message, config);
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+ }
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+
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+}
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