feat(kafka): 消费网点工程师新增（全量， 增量）

project-order/src/main/java/com/dituhui/pea/order/kafka/BeanKafkaConsumer.java

@@ -4,11 +4,13 @@ import com.dituhui.pea.order.common.jackson.JsonUtil;
 import com.dituhui.pea.order.dao.BeanMqMessageDao;
 import com.dituhui.pea.order.dao.EngineerBusinessDao;
 import com.dituhui.pea.order.dao.EngineerInfoDao;
+import com.dituhui.pea.order.dto.OrganizationTreeDTO;
 import com.dituhui.pea.order.dto.param.EngineerParamDTO;
 import com.dituhui.pea.order.dto.param.Location;
 import com.dituhui.pea.order.entity.BeanMqMessageEntity;
 import com.dituhui.pea.order.entity.EngineerBusinessEntity;
 import com.dituhui.pea.order.entity.EngineerInfoEntity;
+import com.dituhui.pea.order.service.impl.BeanRemoteServiceImpl;
 import lombok.AllArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.collections4.CollectionUtils;
@@ -35,16 +37,26 @@ public class BeanKafkaConsumer {
     private final BeanMqMessageDao beanMqMessageDao;
     private final EngineerBusinessDao engineerBusinessDao;
     private final EngineerInfoDao engineerInfoDao;
+    private final BeanRemoteServiceImpl beanRemoteService;
 
     /**
-     * 消费监听 组织架构同步事件通知
+     * 消费监听 组织架构同步事件通知- 只变动当级数据
      */
     @KafkaListener(topics = "BEAN_PEA_TAG_CHANGE", containerFactory = "kafkaListenerContainerFactory")
     public void onMessageTAG(ConsumerRecord<?, ?> record, Acknowledgment ack) {
         Object value = record.value();
-        log.info("收到消息：topic名称: {},分区：{}, ,值：{}", record.topic(), record.partition(), value);
+        String jsonValue = JsonUtil.toJson(value);
+        log.info("收到消息：topic名称: {},分区：{}, ,值：{}", record.topic(), record.partition(), jsonValue);
+        Optional<OrganizationTreeDTO.Request> branchInfo = JsonUtil.parse(jsonValue, OrganizationTreeDTO.Request.class);
+        //转换失败不提交消费确认
+        if (branchInfo.isEmpty()) {
+            log.warn("消费失败,无法转换为需要的数据格式， 消息：topic名称: {},分区：{}, ,值：{} ", record.topic(), record.partition(), jsonValue);
+            return;
+        }
         try {
-            //TODO 消费
+            OrganizationTreeDTO.Request request = branchInfo.get();
+
+
 
         } finally {
             //手动提交
@@ -54,18 +66,27 @@ public class BeanKafkaConsumer {
 
 
     /**
-     * 消费监听 zu'zh的工程师信息同步事件通知
+     * 消费监听 组织的工程师信息同步事件通知 -只变动当级数据
      */
     @KafkaListener(topics = "BEAN_PEA_USER_CHANGE", containerFactory = "kafkaListenerContainerFactory")
     public void onMessageUser(ConsumerRecord<?, ?> record, Acknowledgment ack) {
         Object value = record.value();
-        log.info("收到消息：topic名称: {},分区：{}, ,值：{}", record.topic(), record.partition(), value);
+        String jsonValue = JsonUtil.toJson(value);
+        log.info("收到消息：topic名称: {},分区：{}, ,值：{}", record.topic(), record.partition(), jsonValue);
+        Optional<OrganizationTreeDTO.Request> branchInfo = JsonUtil.parse(jsonValue, OrganizationTreeDTO.Request.class);
+        //转换失败不提交消费确认
+        if (branchInfo.isEmpty()) {
+            log.warn("消费失败,无法转换为需要的数据格式， 消息：topic名称: {},分区：{}, ,值：{} ", record.topic(), record.partition(), jsonValue);
+            return;
+        }
         try {
-            //TODO 消费
-
-        } finally {
-            //手动提交
+            OrganizationTreeDTO.Request request = branchInfo.get();
+            String levelValue = request.getLevelValue();
+            beanRemoteService.listDepartUserAndSaveUserDetailInfo(levelValue);
             ack.acknowledge();
+        } catch (Exception exception) {
+            log.warn("消费失败,， 消息：topic名称: {},分区：{}, ,值：{}\n 失败原因：{} ", record.topic(), record.partition(),
+                    jsonValue, exception.getMessage(), exception);
         }
     }
 
@@ -104,7 +125,7 @@ public class BeanKafkaConsumer {
                     .collect(Collectors.toList());
 
             engineerBusinessDao.saveAll(engineerBusiness);
-            //消费成功保存原始数据信息 并手动提交消费确认
+            //消费成功 手动提交消费确认
             ack.acknowledge();
         } catch (Exception exception) {
             log.warn("消费失败,， 消息：topic名称: {},分区：{}, ,值：{}\n 失败原因：{} ", record.topic(), record.partition(),