Examples with LinearPointValueGenerator com.infiniteautomation.mango.pointvalue.generator.LinearPointValueGenerator used on opensource projects

Example 1 with LinearPointValueGenerator

use of com.infiniteautomation.mango.pointvalue.generator.LinearPointValueGenerator in project ma-core-public by infiniteautomation.

the class MigrationPointValueDaoTest method downsampledAggregate.

@Test
@Ignore
public void downsampledAggregate() throws ExecutionException, InterruptedException, TimeoutException {
    Duration aggregationPeriod = Duration.ofMinutes(15);
    TestMigrationConfig config = new TestMigrationConfig();
    config.setAggregationPeriod(aggregationPeriod);
    useMigrationConfig(config);
    var dataSource = createMockDataSource();
    var point = createMockDataPoint(dataSource, new MockPointLocatorVO());
    TemporalAmount testDuration = Duration.ofDays(1);
    ZonedDateTime from = ZonedDateTime.of(LocalDateTime.of(2020, 1, 1, 0, 0), ZoneOffset.UTC);
    ZonedDateTime to = from.plus(testDuration);
    Duration period = Duration.ofSeconds(5L);
    long inputExpectedSamples = Duration.between(from, to).dividedBy(period);
    // migration stops at the current time
    timer.setStartTime(to.toInstant().toEpochMilli());
    PointValueGenerator generator = new LinearPointValueGenerator(from.toInstant(), to.toInstant(), period, 0.0D, 1.0D);
    source.savePointValues(generator.apply(point));
    // sanity check
    assertEquals(inputExpectedSamples, source.dateRangeCount(point, null, null));
    migrationPointValueDao.startMigration();
    migrationPointValueDao.migrationFinished().get(30, TimeUnit.SECONDS);
    List<IdPointValueTime> destinationValues;
    try (var stream = destination.streamPointValues(point, null, null, null, TimeOrder.ASCENDING)) {
        destinationValues = stream.collect(Collectors.toList());
    }
    long outputExpectedSamples = Duration.between(from, to).dividedBy(aggregationPeriod);
    assertEquals(outputExpectedSamples, destinationValues.size());
    for (int i = 0; i < outputExpectedSamples; i++) {
        var destinationValue = destinationValues.get(i);
        assertEquals(point.getSeriesId(), destinationValue.getSeriesId());
        assertEquals(from.plus(aggregationPeriod.multipliedBy(i)).toInstant().toEpochMilli(), destinationValue.getTime());
        double expected = 180.0 * i + 89.5;
        assertEquals(expected, destinationValue.getDoubleValue(), 0.0D);
    }
}

Example 2 with LinearPointValueGenerator

use of com.infiniteautomation.mango.pointvalue.generator.LinearPointValueGenerator in project ma-core-public by infiniteautomation.

the class AggregateDaoTest method query.

@Test
public void query() {
    var ds = createMockDataSource();
    var point = createMockDataPoint(ds, new MockPointLocatorVO(DataType.NUMERIC, false));
    ZonedDateTime from = ZonedDateTime.of(LocalDateTime.of(2020, 1, 1, 0, 0), ZoneOffset.UTC);
    ZonedDateTime to = from.plusDays(1L);
    Duration period = Duration.ofSeconds(5L);
    PointValueGenerator generator = new LinearPointValueGenerator(from.toInstant(), to.toInstant(), period, 0.0D, 1.0D);
    pointValueDao.savePointValues(generator.apply(point));
    Duration aggregatePeriod = Duration.ofMinutes(15L);
    long outputExpectedSamples = Duration.between(from, to).dividedBy(aggregatePeriod);
    AggregateDao aggregateDao = pointValueDao.getAggregateDao();
    try (var stream = aggregateDao.query(point, from, to, null, aggregatePeriod)) {
        var list = stream.collect(Collectors.toList());
        Assert.assertEquals(outputExpectedSamples, list.size());
        for (int i = 0; i < outputExpectedSamples; i++) {
            var destinationValue = list.get(i);
            assertEquals(point.getSeriesId(), destinationValue.getSeriesId());
            assertEquals(from.plus(aggregatePeriod.multipliedBy(i)).toInstant().toEpochMilli(), destinationValue.getTime());
            NumericAggregate aggregate = (NumericAggregate) destinationValue.getValue();
            assertEquals(180, aggregate.getCount());
            double expectedAverage = 180.0 * i + 89.5;
            assertEquals(expectedAverage, aggregate.getArithmeticMean(), 0.0D);
        }
    }
}