微调

src/main/java/com/njcn/jbsyncdata/service/impl/BusinessServiceImpl.java

@@ -3,6 +3,7 @@ package com.njcn.jbsyncdata.service.impl;
 import cn.hutool.core.collection.CollectionUtil;
 import cn.hutool.core.date.DatePattern;
 import cn.hutool.core.date.DateUtil;
+import cn.hutool.core.io.file.FileWriter;
 import cn.hutool.core.text.StrPool;
 import cn.hutool.core.util.StrUtil;
 import cn.hutool.json.JSONObject;
@@ -24,6 +25,7 @@ import org.springframework.http.ResponseEntity;
 import org.springframework.stereotype.Service;
 
 import javax.annotation.Resource;
+import java.io.File;
 import java.util.*;
 import java.util.concurrent.TimeUnit;
 import java.util.stream.Collectors;
@@ -58,6 +60,7 @@ public class BusinessServiceImpl implements IBusinessService {
      */
     @Override
     public void queryTelemetryData(String startTime, String endTime) {
+        List<String> noDataUser = new ArrayList<>();
         RestTemplateUtil restTemplateUtil = new RestTemplateUtil();
         TokenResult tokenWithRestTemplate = tokenComponent.getTokenWithRestTemplate();
         if (null == tokenWithRestTemplate) {
@@ -91,6 +94,12 @@ public class BusinessServiceImpl implements IBusinessService {
             //指标类型集合
             List<String> typeList = MeasTypeEnum.getMeasList();
             jsonObjectSub.set("telemetryTypes", typeList);
+            //将指标+客户编号组合起来匹配返回数据的第一条记录:userId@measType
+            List<String> userIdConcatMeasType = new ArrayList<>();
+            for (String measType : typeList) {
+                List<String> temp = generationUserIDList.stream().map(t -> t.concat(StrPool.AT).concat(measType)).collect(Collectors.toList());
+                userIdConcatMeasType.addAll(temp);
+            }
             jsonObject.set("filter", jsonObjectSub);
             //组装好json开始发送请求
             Map<String, String> headers = new HashMap<>();
@@ -105,12 +114,7 @@ public class BusinessServiceImpl implements IBusinessService {
                     log.error("起始时间：{}，截止时间：{}，无遥测数据；", startTime, endTime);
                     continue;
                 }
-                //将指标+客户编号组合起来匹配返回数据的第一条记录:userId@measType
-                List<String> userIdConcatMeasType = new ArrayList<>();
-                for (String measType : typeList) {
-                    List<String> temp = generationUserIDList.stream().map(t -> t.concat(StrPool.AT).concat(measType)).collect(Collectors.toList());
-                    userIdConcatMeasType.addAll(temp);
-                }
+
                 //处理各个record的数据，因用户下可能有多个测量点，按指标循环，默认采用第一个匹配上的做数据处理
                 for (CommonTelemetry commonTelemetry : records) { // 最多循环500*16次
                     String dataIdentify = commonTelemetry.getConsNo().concat(StrPool.AT).concat(commonTelemetry.getMeasTypeCode());
@@ -137,12 +141,20 @@ public class BusinessServiceImpl implements IBusinessService {
                         break;
                     }
                 }
+
+                //没有匹配上的就是该用户没有数据
+                noDataUser.addAll(userIdConcatMeasType);
+
             }
             //每片数据获取完毕后，将数据处理入influxdb库
             batchInsertData(typeData);
         }
-
-
+        //最后输出没有数据的用户编号
+        noDataUser = noDataUser.stream().map(t -> t.substring(t.indexOf(StrPool.AT+1)))
+                .distinct()
+                .collect(Collectors.toList());
+        FileWriter writer = FileWriter.create(new File("/usr/local/" + startTime + "-" + endTime + ".txt"));
+        File file = writer.writeLines(noDataUser);
     }
 
     /**

src/main/resources/logback.xml

@@ -11,7 +11,7 @@
 
 
     <!--日志输出格式-->
-    <property name="log.homeDir" value="d:\logs"/>
+    <property name="log.homeDir" value="/usr/local/logs"/>
     <property name="log.pattern"
               value="|-%d{yyyy-MM-dd HH:mm:ss.SSS} ${LOG_LEVEL_PATTERN:-%level} ${log.projectName} -- %t %logger{100}.%M ==> %m%n${Log_EXCEPTION_CONVERSION_WORD:-%ec}}}"/>
     <property name="log.maxHistory" value="30"/>