refactor(logging): 调整日志级别并移除冗余日志

- 将人脸识别成功日志从 info 级别调整为 debug 级别- 将 ZT-Source 消息处理成功日志从 info 级别调整为 debug 级别
- 移除 ZT-Source 照片素材保存成功的冗余 info 日志输出

src/main/java/com/ycwl/basic/integration/kafka/service/FaceProcessingKafkaService.java

@@ -158,7 +158,7 @@ public class FaceProcessingKafkaService {
                 // 更新人脸样本得分和状态
                 faceSampleMapper.updateScore(faceSampleId, addFaceResp.getScore());
                 updateFaceSampleStatus(faceSampleId, 2);
-                log.info("人脸识别处理成功, faceSampleId: {}", faceSampleId);
+                log.debug("人脸识别处理成功, faceSampleId: {}", faceSampleId);
 
                 // 查询设备配置，判断是否启用预订功能
                 Long deviceId = message.getDeviceId();

src/main/java/com/ycwl/basic/service/ZTSourceConsumerService.java

@@ -51,7 +51,7 @@ public class ZTSourceConsumerService {
             if (processed) {
                 // 只有在处理成功后才手动提交
                 ack.acknowledge();
-                log.info("ZT-Source消息处理成功并已提交, sourceId: {}", sourceMessage.getSourceId());
+                log.debug("ZT-Source消息处理成功并已提交, sourceId: {}", sourceMessage.getSourceId());
             } else {
                 log.warn("ZT-Source消息处理被跳过（非照片类型），消息不会被提交, sourceId: {}, sourceType: {}",
                         sourceMessage.getSourceId(), sourceMessage.getSourceType());

src/main/java/com/ycwl/basic/service/ZTSourceDataService.java

@@ -65,8 +65,6 @@ public class ZTSourceDataService {
             int result = sourceMapper.addFromZTSource(sourceEntity);
 
             if (result > 0) {
-                log.info("成功保存ZT-Source照片素材: sourceId={}, entityId={}, scenicId={}, deviceId={}",
-                        message.getSourceId(), sourceEntity.getId(), message.getScenicId(), message.getDeviceId());
                 return true;
             } else {
                 log.error("保存ZT-Source照片素材失败: sourceId={}", message.getSourceId());