Files
UA-.NETStandard/tests/Opc.Ua.Server.Tests/StdDevAggregateCalculatorRegressionTests.cs
2026-07-16 06:25:54 +02:00

213 lines
8.2 KiB
C#

/* ========================================================================
* Copyright (c) 2005-2026 The OPC Foundation, Inc. All rights reserved.
*
* OPC Foundation MIT License 1.00
*
* Permission is hereby granted, free of charge, to any person
* obtaining a copy of this software and associated documentation
* files (the "Software"), to deal in the Software without
* restriction, including without limitation the rights to use,
* copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following
* conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
* WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
* OTHER DEALINGS IN THE SOFTWARE.
*
* The complete license agreement can be found here:
* http://opcfoundation.org/License/MIT/1.00/
* ======================================================================*/
using System.Collections.Generic;
using NUnit.Framework;
using Opc.Ua.Tests;
namespace Opc.Ua.Server.Tests
{
/// <summary>
/// Tests for the regression (RegSlope/RegConst/RegStdDev) calculation exposed by
/// <see cref="StdDevAggregateCalculator.ComputeRegression"/>. The protected method is
/// exercised through a derived calculator that routes <c>ComputeValue</c> to it.
/// </summary>
[TestFixture]
[Category("Aggregators")]
[SetCulture("en-us")]
[SetUICulture("en-us")]
[Parallelizable]
public class StdDevAggregateCalculatorRegressionTests
{
private ITelemetryContext m_telemetry;
private AggregateConfiguration m_configuration;
[SetUp]
public void SetUp()
{
m_telemetry = NUnitTelemetryContext.Create();
m_configuration = new AggregateConfiguration
{
TreatUncertainAsBad = false,
PercentDataBad = 100,
PercentDataGood = 100,
UseSlopedExtrapolation = false
};
}
private sealed class RegressionCalculator : StdDevAggregateCalculator
{
private readonly int m_valueType;
public RegressionCalculator(
int valueType,
NodeId aggregateId,
DateTimeUtc startTime,
DateTimeUtc endTime,
double processingInterval,
bool stepped,
AggregateConfiguration configuration,
ITelemetryContext telemetry)
: base(aggregateId, startTime, endTime, processingInterval, stepped, configuration, telemetry)
{
m_valueType = valueType;
}
protected override DataValue ComputeValue(TimeSlice slice)
{
return ComputeRegression(slice, m_valueType);
}
}
private DataValue Compute(int valueType, List<DataValue> values, DateTimeUtc startTime, DateTimeUtc endTime)
{
var calculator = new RegressionCalculator(
valueType,
ObjectIds.AggregateFunction_StandardDeviationPopulation,
startTime,
endTime,
(endTime - startTime).TotalMilliseconds,
false,
m_configuration,
m_telemetry);
foreach (DataValue value in values)
{
calculator.QueueRawValue(value);
}
DataValue result = default;
bool any = false;
while (calculator.TryGetProcessedValue(true, out DataValue value))
{
if (!any)
{
result = value;
any = true;
}
}
return result;
}
private static List<DataValue> GoodSeries(DateTimeUtc first, double[] values, double intervalMs)
{
var list = new List<DataValue>();
for (int i = 0; i < values.Length; i++)
{
DateTimeUtc ts = first.AddMilliseconds(i * intervalMs);
list.Add(new DataValue(new Variant(values[i]), StatusCodes.Good, ts, ts));
}
return list;
}
[Test]
public void RegSlopeReturnsCalculatedResult()
{
var startTime = new DateTimeUtc(2024, 1, 1, 0, 0, 0);
DateTimeUtc endTime = startTime.AddMilliseconds(12000);
List<DataValue> values = GoodSeries(startTime.AddMilliseconds(500), [10, 20, 30, 40, 50], 2000);
DataValue result = Compute(1, values, startTime, endTime);
Assert.That(result.IsNull, Is.False);
Assert.That(result.WrappedValue.IsNull, Is.False);
Assert.That(result.StatusCode.AggregateBits.HasFlag(AggregateBits.Calculated), Is.True);
}
[Test]
public void RegConstReturnsCalculatedResult()
{
var startTime = new DateTimeUtc(2024, 1, 1, 0, 0, 0);
DateTimeUtc endTime = startTime.AddMilliseconds(12000);
List<DataValue> values = GoodSeries(startTime.AddMilliseconds(500), [10, 20, 30, 40, 50], 2000);
DataValue result = Compute(2, values, startTime, endTime);
Assert.That(result.IsNull, Is.False);
Assert.That(result.WrappedValue.IsNull, Is.False);
Assert.That(result.StatusCode.AggregateBits.HasFlag(AggregateBits.Calculated), Is.True);
}
[Test]
public void RegStdDevReturnsCalculatedResult()
{
var startTime = new DateTimeUtc(2024, 1, 1, 0, 0, 0);
DateTimeUtc endTime = startTime.AddMilliseconds(12000);
List<DataValue> values = GoodSeries(startTime.AddMilliseconds(500), [10, 25, 33, 44, 51], 2000);
DataValue result = Compute(3, values, startTime, endTime);
Assert.That(result.IsNull, Is.False);
Assert.That(result.WrappedValue.IsNull, Is.False);
Assert.That(result.WrappedValue.ConvertToDouble().GetDouble(), Is.GreaterThanOrEqualTo(0));
}
[Test]
public void RegSlopeWithNonGoodDataMarksSubNormal()
{
var startTime = new DateTimeUtc(2024, 1, 1, 0, 0, 0);
DateTimeUtc t0 = startTime.AddMilliseconds(500);
DateTimeUtc endTime = startTime.AddMilliseconds(12000);
var values = new List<DataValue>
{
new(new Variant(10.0), StatusCodes.Good, t0, t0),
new(new Variant(20.0), StatusCodes.Good, t0.AddMilliseconds(2000), t0.AddMilliseconds(2000)),
new(new Variant(0.0), StatusCodes.Bad, t0.AddMilliseconds(4000), t0.AddMilliseconds(4000)),
new(new Variant(40.0), StatusCodes.Good, t0.AddMilliseconds(6000), t0.AddMilliseconds(6000)),
new(new Variant(50.0), StatusCodes.Good, t0.AddMilliseconds(8000), t0.AddMilliseconds(8000))
};
DataValue result = Compute(1, values, startTime, endTime);
Assert.That(result.IsNull, Is.False);
Assert.That(result.StatusCode.CodeBits, Is.EqualTo(StatusCodes.UncertainDataSubNormal));
}
[Test]
public void RegSlopeWithAllBadDataReturnsNoData()
{
var startTime = new DateTimeUtc(2024, 1, 1, 0, 0, 0);
DateTimeUtc t0 = startTime.AddMilliseconds(500);
DateTimeUtc endTime = startTime.AddMilliseconds(6000);
var values = new List<DataValue>
{
new(new Variant(1.0), StatusCodes.Bad, t0, t0),
new(new Variant(2.0), StatusCodes.Bad, t0.AddMilliseconds(2000), t0.AddMilliseconds(2000))
};
DataValue result = Compute(1, values, startTime, endTime);
Assert.That(StatusCode.IsBad(result.StatusCode), Is.True);
}
}
}