public void ProduceMeanValues_Test()
{
//arrange
Program p = new Program();
DataSet input = new DataSet();
input.Data = new DataItem[] {
new DataItem(3843, 20, 180, DateTime.Parse("2018-03-26 13:00:00"), 3),
new DataItem(3846, 18, 180, DateTime.Parse("2018-03-26 13:00:01"), 3),
new DataItem(3849, 18, 180, DateTime.Parse("2018-03-26 13:00:02"), 3),
new DataItem(3852, 19, 180, DateTime.Parse("2018-03-26 13:00:03"), 3),
new DataItem(3856, 21, 180, DateTime.Parse("2018-03-26 13:00:04"), 3),
new DataItem(3858, 18, 180, DateTime.Parse("2018-03-26 13:00:05"), 3),
new DataItem(3861, 20, 180, DateTime.Parse("2018-03-26 13:00:06"), 3),
new DataItem(3864, 18, 180, DateTime.Parse("2018-03-26 13:00:07"), 3),
new DataItem(3867, 19, 180, DateTime.Parse("2018-03-26 13:00:08"), 3),
new DataItem(3870, 18, 180, DateTime.Parse("2018-03-26 13:00:09"), 3),
new DataItem(3873, 16, 180, DateTime.Parse("2018-03-26 13:00:10"), 3)
};
DataSet expected = new DataSet();
expected.AddDataItem(new DataItem(18.63, DateTime.Parse("2018-03-26 13:00:00")));
//act
DataSet actual = p.ProduceMeanValues(input);
//assert
Assert.AreEqual(actual.SensorID, expected.SensorID);
Assert.AreEqual(expected.Data.Length, actual.Data.Length);
Assert.AreEqual(actual.Data[0].Reading, expected.Data[0].Reading, 0.05);
Assert.AreEqual(actual.Data[0].Timestamp, expected.Data[0].Timestamp);
}
