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增加耗时时间日志

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zren25
2025-03-31 14:19:50 +08:00
parent 1ce61d4bfc
commit 2761de1227
1 changed files with 5 additions and 5 deletions
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10
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/mq/CorpusProcessKafkaProducer.java
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@@ -9,7 +9,6 @@ import com.volvo.ai.analytic.center.entity.TmTelephoneCorpus;
import com.volvo.ai.analytic.center.service.TmTelephoneCorpusService;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.collections.CollectionUtils;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.annotation.KafkaListener;
@@ -44,6 +43,7 @@ public class CorpusProcessKafkaProducer {
@PostMapping("corpusProcessKafkaConsumer")
@KafkaListener(topics = "${spring.kafka.topic}", groupId = "${spring.kafka.group}")
public void listen(List<String> recordMessages) {
long startTime = System.currentTimeMillis();
try {
log.info("CorpusProcessKafkaProducer Received message: {}", recordMessages);
// 获取消息列表
@@ -65,18 +65,18 @@ public class CorpusProcessKafkaProducer {
tmTelephoneCorpus.setCreateBy("kafka");
tmTelephoneCorpus.setCreateTime(LocalDateTime.now());
ExecutorService runTelephoneExecutor = Executors.newFixedThreadPool(optimalThreadPoolSize);
// 条件：只处理dcc的 10s通话时间以上
log.info("CorpusProcessKafkaProducer getCategoryCode: {}，audioFileId：{}，sourceId：{}", tmTelephoneCorpus.getCategoryCode(), aicorpusTelephone.getAudioFileId(), aicorpusTelephone.getSourceId());
if (Constant.CHANNEL_DCC.equals(tmTelephoneCorpus.getCategoryCode())) {
log.info(" dcc 语料开始处理: {}");
log.info(" dcc 语料开始处理");
tmTelephoneCorpusService.saveTelephoneCorpus(tmTelephoneCorpus);
long startTimeDify = System.currentTimeMillis();
CompletableFuture.runAsync(() -> {
tmTelephoneCorpusService.runTelephoneCorpusDify(aicorpusTelephone);
}, runTelephoneExecutor);
// 关闭线程池
runTelephoneExecutor.shutdown();
log.info(" dify处理耗时：{}", System.currentTimeMillis() - startTimeDify);
}
} catch (Exception e) {
log.error("CorpusProcessKafkaProducer 电话语料 解析JSON出错: {}", e.getMessage());
@@ -87,7 +87,7 @@ public class CorpusProcessKafkaProducer {
executor.shutdown();
}
log.info("Kafka 消息处理完成，耗时：{}", System.currentTimeMillis() - startTime);
// 在这里可以添加对解析后的对象的进一步处理逻辑
} catch (Exception e) {
log.error("CorpusProcessKafkaProducer 电话语料 解析JSON出错: {}" , e.getMessage());