From b70814984096f1ff64bf0a6e69123e2bdbced9c3 Mon Sep 17 00:00:00 2001
From: dongyukun <1208714201@qq.com>
Date: 星期四, 29 五月 2025 11:25:41 +0800
Subject: [PATCH] Merge remote-tracking branch 'origin/master'

---
 iailab-module-data/iailab-module-data-biz/src/main/java/com/iailab/module/data/point/collection/handler/CumulateHandle.java |   21 +++++++++++++++------
 1 files changed, 15 insertions(+), 6 deletions(-)

diff --git a/iailab-module-data/iailab-module-data-biz/src/main/java/com/iailab/module/data/point/collection/handler/CumulateHandle.java b/iailab-module-data/iailab-module-data-biz/src/main/java/com/iailab/module/data/point/collection/handler/CumulateHandle.java
index ae3e12e..8d327e3 100644
--- a/iailab-module-data/iailab-module-data-biz/src/main/java/com/iailab/module/data/point/collection/handler/CumulateHandle.java
+++ b/iailab-module-data/iailab-module-data-biz/src/main/java/com/iailab/module/data/point/collection/handler/CumulateHandle.java
@@ -23,6 +23,7 @@
 import javax.annotation.Resource;
 import java.math.BigDecimal;
 import java.util.*;
+import java.util.concurrent.TimeUnit;
 
 /**
  * 累计点处理
@@ -45,7 +46,7 @@
     @Autowired
     private RedisTemplate<String, Object> redisTemplate;
 
-    public List<InfluxPointValuePOJO> handle(Date collectTime, List<DaPointDTO> dtos, List<String> listGood, List<String> listBad) {
+    public List<InfluxPointValuePOJO> handle(Date collectTime, List<DaPointDTO> dtos, Map<String, Object> dataMap, List<String> listGood, List<String> listBad) {
         List<InfluxPointValuePOJO> result = new ArrayList<>();
         try {
             log.info("累计点处理开始");
@@ -54,9 +55,12 @@
             }
             dtos.forEach(dto -> {
                 try {
-                    Object value = singleCompute(dto, collectTime, listGood, listBad);
-                    InfluxPointValuePOJO pojo = GenInfluxPointValueUtils.getByPoint(dto, value);
+                    Object rawValue = singleCompute(dto, collectTime, listGood, listBad);
+                    BigDecimal coefficient = dto.getUnittransfactor() == null ? BigDecimal.ONE : dto.getUnittransfactor();
+                    BigDecimal calValue = new BigDecimal(rawValue.toString()).multiply(coefficient);
+                    InfluxPointValuePOJO pojo = GenInfluxPointValueUtils.getByPoint(dto, calValue);
                     pojo.setTimestamp(GenInfluxPointValueUtils.getByMin(collectTime, DataPointFreqEnum.getEumByCode(dto.getMinfreqid())));
+                    dataMap.put(dto.getPointNo(), calValue);
                     result.add(pojo);
                 } catch (Exception ex) {
                     ex.printStackTrace();
@@ -85,7 +89,12 @@
             if (redisTemplate.hasKey(PointCollector.PV + item.getPointNo())) {
                 value = redisTemplate.opsForValue().get(PointCollector.PV + item.getPointNo());
             } else {
-                value = singleCompute(item, calendar.getTime());
+                Object rawValue = singleCompute(item, calendar.getTime());
+                BigDecimal coefficient = item.getUnittransfactor() == null ? BigDecimal.ONE : item.getUnittransfactor();
+                value = new BigDecimal(rawValue.toString()).multiply(coefficient);
+                // 写入缓存
+                redisTemplate.opsForValue().set(PointCollector.PV + item.getPointNo(),
+                        new BigDecimal(value.toString()).doubleValue(), PointCollector.offset, TimeUnit.SECONDS);
             }
             data.put(item.getPointNo(), value);
         });
@@ -122,7 +131,7 @@
         List<ApiPointValueDTO> dataList = new ArrayList<>();
         List<ApiPointValueDTO> dataListTemp = dataPointApi.queryPointHistoryValue(queryDto);
         if (dto.getIsCumuNeg() != null && dto.getIsCumuNeg().equals(0)) {
-            for(ApiPointValueDTO item : dataListTemp) {
+            for (ApiPointValueDTO item : dataListTemp) {
                 if (item.getV() > 0) {
                     dataList.add(item);
                 }
@@ -159,7 +168,7 @@
         long start = startTime.getTime();
         long end = endTime.getTime();
         long oneMin = 1000L * DataPointFreqEnum.getEumByCode(minfreqid).getValue();
-        long mins = (end - start) / oneMin;
+        long mins = ((end - start) / oneMin) + 1;
 
         //找出缺少项
         Map<Long, Double> sourceDataMap = new HashMap<>(dataList.size());

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