趋势图bug
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@@ -216,23 +216,53 @@ public class HistoryResultServiceImpl implements HistoryResultService {
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.map(temp -> BigDecimal.valueOf(temp.getAValue()).setScale(4, RoundingMode.HALF_UP).floatValue())
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.map(temp -> BigDecimal.valueOf(temp.getAValue()).setScale(4, RoundingMode.HALF_UP).floatValue())
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.collect(Collectors.toList());
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.collect(Collectors.toList());
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//组装二维数组
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//组装二维数组
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boolean flagA = true,flagB = true,flagC =true;
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if(CollectionUtil.isEmpty(aValue)){
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flagA = false;
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}
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if(CollectionUtil.isEmpty(bValue)){
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flagB = false;
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}
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if(CollectionUtil.isEmpty(cValue)){
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flagC = false;
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}
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for (int i = 0; i < time.size(); i++) {
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for (int i = 0; i < time.size(); i++) {
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List<Object> objects = new ArrayList<>();
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List<Object> objects = new ArrayList<>();
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//指定
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//指定
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objects.add(time.get(i));
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objects.add(time.get(i));
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objects.add(aValue.get(i));
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if(flagA){
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objects.add(bValue.get(i));
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objects.add(aValue.get(i));
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objects.add(cValue.get(i));
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}
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if(flagB) {
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objects.add(bValue.get(i));
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}
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if(flagC) {
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objects.add(cValue.get(i));
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}
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objectListData.add(objects);
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objectListData.add(objects);
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}
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}
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Float aValueMin = Collections.min(aValue);
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Float aValueMin = CollectionUtil.isEmpty(aValue) ? null : Collections.min(aValue);
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Float bValueMin = Collections.min(bValue);
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Float bValueMin = CollectionUtil.isEmpty(bValue) ? null : Collections.min(bValue);
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Float cValueMin = Collections.min(cValue);
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Float cValueMin = CollectionUtil.isEmpty(cValue) ? null : Collections.min(cValue);
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Float aValueMax = Collections.max(aValue);
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Float aValueMax = CollectionUtil.isEmpty(aValue) ? null : Collections.max(aValue);
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Float bValueMax = Collections.max(bValue);
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Float bValueMax = CollectionUtil.isEmpty(bValue) ? null : Collections.max(bValue);
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Float cValueMax = Collections.max(cValue);
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Float cValueMax = CollectionUtil.isEmpty(cValue) ? null : Collections.max(cValue);
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historyDataResultVO.setMinValue((aValueMin < bValueMin) ? ((aValueMin < cValueMin) ? aValueMin : cValueMin) : ((bValueMin < cValueMin) ? bValueMin : cValueMin));
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List<Float> list = Arrays.asList(aValueMin, bValueMin, cValueMin, aValueMax, bValueMax, cValueMax);
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historyDataResultVO.setMaxValue(aValueMax > bValueMax ? (aValueMax > cValueMax ? aValueMax : bValueMax) : (bValueMax > cValueMax ? bValueMax : cValueMax));
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Optional<Float> min = list.stream()
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.filter(Objects::nonNull) // 过滤掉null值
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.min(Float::compareTo);
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if (min.isPresent()) {
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historyDataResultVO.setMinValue(min.get());
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}
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Optional<Float> max = list.stream()
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.filter(Objects::nonNull) // 过滤掉null值
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.max(Float::compareTo);
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if (min.isPresent()) {
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historyDataResultVO.setMaxValue(max.get());
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}
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historyDataResultVO.setTopLimit(queryResultLimitVO.getTopLimit());
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historyDataResultVO.setTopLimit(queryResultLimitVO.getTopLimit());
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historyDataResultVO.setLowerLimit(queryResultLimitVO.getLowerLimit());
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historyDataResultVO.setLowerLimit(queryResultLimitVO.getLowerLimit());
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historyDataResultVO.setValue(objectListData);
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historyDataResultVO.setValue(objectListData);
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@@ -309,7 +339,7 @@ public class HistoryResultServiceImpl implements HistoryResultService {
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case 11:
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case 11:
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//线电压有效值
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//线电压有效值
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sql = "SELECT time as time, rms_lvr as aValue ," + InfluxDBTableConstant.PHASIC_TYPE + " FROM data_v WHERE " + stringBuilder +
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sql = "SELECT time as time, rms_lvr as aValue ," + InfluxDBTableConstant.PHASIC_TYPE + " FROM data_v WHERE " + stringBuilder +
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" and (phasic_type ='A' or phasic_type ='B' or phasic_type ='C') group by phasic_type order by time asc tz('Asia/Shanghai');";
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" and (phasic_type ='A' or phasic_type ='B' or phasic_type ='C') group by phasic_type order by time asc tz('Asia/Shanghai');";
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phasicType.add("AB相");
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phasicType.add("AB相");
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phasicType.add("BC相");
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phasicType.add("BC相");
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phasicType.add("CA相");
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phasicType.add("CA相");
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