use of com.infiniteautomation.mango.rest.latest.streamingvalues.model.AllStatisticsModel in project ma-modules-public by infiniteautomation.
the class AggregateValueMapper method apply.
@Override
public StreamingPointValueTimeModel apply(SeriesValueTime<? extends AggregateValue> value) {
DataPointVO point = lookupPoint(value.getSeriesId());
RollupEnum rollup = rollup(point);
AggregateValue aggregate = value.getValue();
StreamingPointValueTimeModel model = new StreamingPointValueTimeModel(point.getXid(), value.getTime());
if (rollup == RollupEnum.ALL) {
AllStatisticsModel allStatisticsModel = getAllRollup(point, aggregate);
model.setAllStatistics(allStatisticsModel);
} else {
ValueTimeModel rollupValue = getRollupValue(point, aggregate, rollup);
model.setValueModel(rollupValue);
}
if (fields.contains(PointValueField.CACHED)) {
model.setCached(false);
}
if (fields.contains(PointValueField.BOOKEND)) {
model.setBookend(false);
}
return copyPointPropertiesToModel(point, model);
}
use of com.infiniteautomation.mango.rest.latest.streamingvalues.model.AllStatisticsModel in project ma-modules-public by infiniteautomation.
the class AggregateValueMapper method getAllRollup.
private AllStatisticsModel getAllRollup(DataPointVO point, AggregateValue stats) {
AllStatisticsModel all;
if (stats instanceof NumericAggregate) {
NumericAllModel model = new NumericAllModel();
model.setAccumulator(getRollupValue(point, stats, RollupEnum.ACCUMULATOR));
model.setAverage(getRollupValue(point, stats, RollupEnum.AVERAGE));
model.setDelta(getRollupValue(point, stats, RollupEnum.DELTA));
model.setIntegral(getRollupValue(point, stats, RollupEnum.INTEGRAL));
model.setMaximum(getRollupValue(point, stats, RollupEnum.MAXIMUM));
model.setMinimum(getRollupValue(point, stats, RollupEnum.MINIMUM));
model.setSum(getRollupValue(point, stats, RollupEnum.SUM));
model.setMaximumInPeriod(getRollupValue(point, stats, RollupEnum.MAXIMUM_IN_PERIOD));
model.setMinimumInPeriod(getRollupValue(point, stats, RollupEnum.MINIMUM_IN_PERIOD));
model.setArithmeticMean(getRollupValue(point, stats, RollupEnum.ARITHMETIC_MEAN));
all = model;
} else if (stats instanceof StartsAndRuntimeAggregate) {
MultistateAllStatisticsModel model = new MultistateAllStatisticsModel();
var startsStats = ((StartsAndRuntimeAggregate) stats);
var startsModel = startsStats.getData().stream().map(start -> {
String rendered = renderValue(point, start.getDataValue());
return new StartsAndRuntimeModel(start.getDataValue(), rendered, start.getStarts(), start.getRuntime(), start.getProportion());
}).collect(Collectors.toUnmodifiableList());
model.setStartsAndRuntimes(startsModel);
all = model;
} else {
all = new AllStatisticsModel();
}
if (fields.contains(PointValueField.TIMESTAMP)) {
all.setTimestamp(formatTime(stats.getPeriodStartTime()));
}
all.setCount(stats.getCount());
all.setFirst(getRollupValue(point, stats, RollupEnum.FIRST));
all.setLast(getRollupValue(point, stats, RollupEnum.LAST));
all.setStart(getRollupValue(point, stats, RollupEnum.START));
return all;
}
Aggregations