public void SensorTimeSeries_OneEntry()
{
var dataPoint = new DataPoint()
{
CapturedAt = new DateTime(2019, 4, 29, 12, 0, 0),
Value = 1000
};
var id = "1234";
var container = new SensorTimeSeries(id);
container.Add(dataPoint);
Assert.Equal(id, container.Id);
Assert.Equal(1, container.Count);
Assert.Equal(dataPoint, container.First);
Assert.Equal(dataPoint, container.Last);
Assert.True(container.AnyBetween(new DateTime(2019, 4, 29), new DateTime(2019, 4, 30)));
Assert.InRange(container.Sum(DateTimeOffset.MinValue, new DateTime(2019, 4, 29)), 0.0 - Accuracy, 0.0 + Accuracy);
Assert.InRange(container.Sum(new DateTime(2019, 4, 30), DateTimeOffset.MaxValue), 0.0 - Accuracy, 0.0 + Accuracy);
Assert.Equal(dataPoint.Value, container.Sum(new DateTime(2019, 4, 29), new DateTime(2019, 4, 30)));
Assert.InRange(container.TotalUntil(new DateTime(2019, 4, 29)), 0.0 - Accuracy, 0.0 + Accuracy);
Assert.Equal(dataPoint.Value, container.TotalUntil(new DateTime(2019, 4, 30)));
Assert.Equal(dataPoint.Value, container.TotalUntil(DateTimeOffset.MaxValue));
}
public void SensorTimeSeries_Empty()
{
var id = "1234";
var container = new SensorTimeSeries(id);
Assert.Equal(id, container.Id);
Assert.Equal(0, container.Count);
Assert.Null(container.First);
Assert.Null(container.Last);
Assert.False(container.AnyBetween(DateTimeOffset.MinValue, DateTimeOffset.MaxValue));
Assert.InRange(container.Sum(DateTimeOffset.MinValue, DateTimeOffset.MaxValue), 0.0 - Accuracy, 0.0 + Accuracy);
Assert.InRange(container.TotalUntil(DateTimeOffset.MaxValue), 0.0 - Accuracy, 0.0 + Accuracy);
}
public void TimeSeriesGroup_OneEmptyTimeSeries()
{
var group = new TimeSeriesGroup();
var container = new SensorTimeSeries("1234");
group.Add(container);
Assert.Equal(1, group.Count);
Assert.Null(group.FirstDataPoint);
Assert.Null(group.LastDataPoint);
Assert.False(group.AnyBetween(DateTimeOffset.MinValue, DateTimeOffset.MaxValue));
Assert.InRange(group.Sum(DateTimeOffset.MinValue, DateTimeOffset.MaxValue), 0.0 - Accuracy, 0.0 + Accuracy);
Assert.InRange(group.TotalUntil(DateTimeOffset.MaxValue), 0.0 - Accuracy, 0.0 + Accuracy);
}
public void SensorTimeSeries_MultipleEntry()
{
var dataPoint1 = new DataPoint()
{
CapturedAt = new DateTime(2019, 4, 28, 12, 0, 0),
Value = 1000
};
var dataPoint2 = new DataPoint()
{
CapturedAt = new DateTime(2019, 4, 29, 12, 0, 0),
Value = 1200
};
var dataPoint3 = new DataPoint()
{
CapturedAt = new DateTime(2019, 4, 30, 12, 0, 0),
Value = 1250
};
var id = "1234";
var container = new SensorTimeSeries(id);
container.Add(dataPoint1);
container.Add(dataPoint2);
container.Add(dataPoint3);
Assert.Equal(id, container.Id);
Assert.Equal(3, container.Count);
Assert.Equal(dataPoint1, container.First);
Assert.Equal(dataPoint3, container.Last);
Assert.True(container.AnyBetween(new DateTime(2019, 4, 29), new DateTime(2019, 4, 30)));
Assert.False(container.AnyBetween(DateTimeOffset.MinValue, new DateTime(2019, 4, 27)));
Assert.False(container.AnyBetween(new DateTime(2019, 5, 1), DateTimeOffset.MaxValue));
Assert.InRange(container.Sum(DateTimeOffset.MinValue, new DateTime(2019, 4, 28)), 0.0 - Accuracy, 0.0 + Accuracy);
Assert.InRange(container.Sum(new DateTime(2019, 5, 1), DateTimeOffset.MaxValue), 0.0 - Accuracy, 0.0 + Accuracy);
var sum = dataPoint3.Value - dataPoint1.Value;
Assert.Equal(sum, container.Sum(new DateTime(2019, 4, 29), new DateTime(2019, 4, 30, 23, 0, 0)));
Assert.InRange(container.Sum(DateTimeOffset.MinValue, new DateTime(2019, 4, 28)), 0.0 - Accuracy, 0.0 + Accuracy);
Assert.InRange(container.Sum(new DateTime(2019, 5, 01), DateTimeOffset.MaxValue), 0.0 - Accuracy, 0.0 + Accuracy);
Assert.InRange(container.TotalUntil(new DateTime(2019, 4, 28)), 0.0 - Accuracy, 0.0 + Accuracy);
Assert.Equal(dataPoint1.Value, container.TotalUntil(new DateTime(2019, 4, 29)));
Assert.Equal(dataPoint3.Value, container.TotalUntil(new DateTime(2019, 5, 01)));
Assert.Equal(dataPoint3.Value, container.TotalUntil(DateTimeOffset.MaxValue));
}
public IEnumerable <ITimeSeries> Read(string id, string content)
{
var timeSeries = new SensorTimeSeries(id);
var contentEnumerator = content.SplitLines();
// skip first line of csv
contentEnumerator.MoveNext();
// convert all data to internal data structure
foreach (ReadOnlySpan <char> line in contentEnumerator)
{
var dataPoint = ConvertToEntry(line, rowSeperator);
timeSeries.Add(dataPoint);
}
return(new List <ITimeSeries>()
{
timeSeries
});
}
