Files
lmxopcua/tests/Drivers/Historian.Conformance/SdkAggregateOracle.cs
T
Joseph Doherty bd6d3fc2c3 test(historian): Part 13 PercentGood oracle + pin the 1.5.378.182 divergence (#796)
The 1.5.378.182 StatusAggregateCalculator (vendored as the application's
compatibility baseline) counts Uncertain regions as Good time under
TreatUncertainAsBad = false; 1.5.378.106 counted Good regions only, as Part 13
§5.4.3.31/§5.4.3.33 and Mantis 0006166 require. Our evaluator follows Part 13,
so the oracle moved, not the server: 10 SdkAggregateParityTests failed.

SdkAggregateOracle.Run now answers PercentGood through a subclass of the
baseline StatusAggregateCalculator that counts Good regions only (same bounds,
regions, status/Partial bits and configuration as PercentBad). RunSdkAsIs keeps
the untouched baseline. Rejected the proposed 100 - PercentBad under
TreatUncertainAsBad = true: that flag also changes the region machinery (the
end-of-data 1 ms rule), so it computes over a different total; pinned by a test.

New tests pin the divergence on hand-computed G/U/B/G (50 vs baseline 75) and
all-Uncertain (0/0 vs baseline 100) intervals, forward and reverse, plus a
data-starts-inside interval where oracle == baseline.

Sql.Common.Tests 265/275 -> 280/280.
2026-11-10 21:04:27 -05:00

237 lines
14 KiB
C#
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
using Opc.Ua;
using Opc.Ua.Server;
using ZB.MOM.WW.OtOpcUa.OpcUaServer.Compatibility.Aggregates;
using BaselineAggregateCalculator = ZB.MOM.WW.OtOpcUa.OpcUaServer.Compatibility.Aggregates.AggregateCalculator;
using BaselineStatusAggregateCalculator = ZB.MOM.WW.OtOpcUa.OpcUaServer.Compatibility.Aggregates.StatusAggregateCalculator;
using Shouldly;
using ZB.MOM.WW.OtOpcUa.Core.Abstractions;
namespace ZB.MOM.WW.OtOpcUa.Driver.Historian.Conformance;
/// <summary>
/// Drives the application's versioned 1.5.378.182 Part 13 compatibility calculators — the same factories
/// the upgraded server registers for live aggregates in-process over a sample set, so our processed reads can be compared with the
/// reference implementation bucket by bucket (#677). The calculators run under the server's default
/// <see cref="AggregateConfiguration"/> (TreatUncertainAsBad = false, PercentDataBad = PercentDataGood = 100,
/// UseSlopedExtrapolation = false), sloped interpolation, source timestamps.
/// </summary>
/// <remarks>
/// <para>Shared (source-linked) by <c>Sql.Common.Tests</c> and both SQL backends' integration suites.</para>
/// <para>
/// <b>PercentGood is the one aggregate not taken as-is (#796).</b> The 1.5.378.182 baseline changed
/// <c>StatusAggregateCalculator.ComputeDurationGoodBad</c> (1.5.378.106 and earlier counted Good regions only):
/// with TreatUncertainAsBad = false it counts Uncertain regions as <b>Good</b> time (as Bad when true). Part 13
/// keeps Uncertain out of both (§5.4.3.31 DurationGood counts Good regions; §5.4.3.33 PercentGood =
/// DurationGood ÷ interval; Mantis 0006166, closed "no change required": an all-Uncertain interval is
/// PercentGood 0 <i>and</i> PercentBad 0), and so does ours. <see cref="Run"/> therefore answers PercentGood
/// through <see cref="Part13PercentGoodCalculator"/>: the SAME baseline calculator, region machinery (simple
/// bounds, end-of-data 1 ms region, status and Partial bits) and server-default configuration, counting only
/// Good regions — exactly what the pre-.182 oracle computed. PercentBad still counts Bad regions only (unchanged
/// by .182) and is compared as-is. <see cref="RunSdkAsIs"/> runs the baseline untouched, for the test that pins
/// the divergence.
/// </para>
/// <para>
/// Not <c>100 − PercentBad</c> under TreatUncertainAsBad = true: that flag also changes the region machinery
/// (<c>IsGood</c> drives the end-of-data 1 ms rule and the simple bounds), so after an Uncertain last sample the
/// region runs to the interval end instead of 1 ms and the total differs from the one PercentBad is computed
/// over. Pinned by <c>SdkAggregateParityTests</c>.
/// </para>
/// </remarks>
public static class SdkAggregateOracle
{
private static readonly ITelemetryContext Telemetry = DefaultTelemetry.Create(_ => { });
/// <summary>One processed value: value (double / int / null), full status code, timestamp.</summary>
public readonly record struct Result(object? Value, uint StatusCode, DateTime Timestamp);
/// <summary>The server-default aggregate configuration (what <c>AggregateManager.GetDefaultConfiguration</c> returns).</summary>
public static AggregateConfiguration DefaultConfiguration => new()
{
TreatUncertainAsBad = false,
PercentDataBad = 100,
PercentDataGood = 100,
UseSlopedExtrapolation = false,
UseServerCapabilitiesDefaults = false,
};
/// <summary>
/// Runs the Part 13 oracle for <paramref name="aggregate"/> over <paramref name="samples"/>: the baseline calculator,
/// except PercentGood, which counts Good regions only (see the remarks, #796).
/// </summary>
/// <param name="aggregate">The aggregate.</param>
/// <param name="start">Request start (later than <paramref name="end"/> for a reverse read).</param>
/// <param name="end">Request end.</param>
/// <param name="interval">Processing interval.</param>
/// <param name="samples">Every stored sample of the tag, any order (sorted here).</param>
/// <returns>The oracle's processed values, in the order it returns them.</returns>
public static IReadOnlyList<Result> Run(HistoryAggregateType aggregate, DateTime start, DateTime end, TimeSpan interval,
IEnumerable<(DateTime Time, HistorianValue Value, uint Status)> samples) =>
aggregate == HistoryAggregateType.PercentGood
? RunCore(new LegacyCalculatorAdapter(new Part13PercentGoodCalculator(ObjectIds.AggregateFunction_PercentGood,
start, end, interval.TotalMilliseconds, false, DefaultConfiguration, Telemetry)), start, end, samples)
: RunSdkAsIs(aggregate, start, end, interval, samples);
/// <summary>
/// Runs the baseline (1.5.378.182) calculator for <paramref name="aggregate"/> exactly as it computes it, under
/// <see cref="DefaultConfiguration"/> — including its PercentGood rule (Uncertain counted as Good) that
/// <see cref="Run"/> deliberately does not use (#796).
/// </summary>
/// <param name="aggregate">The aggregate.</param>
/// <param name="start">Request start (later than <paramref name="end"/> for a reverse read).</param>
/// <param name="end">Request end.</param>
/// <param name="interval">Processing interval.</param>
/// <param name="samples">Every stored sample of the tag, any order (sorted here).</param>
/// <param name="configuration">The configuration (default <see cref="DefaultConfiguration"/>).</param>
/// <returns>The calculator's processed values, in the order it returns them.</returns>
public static IReadOnlyList<Result> RunSdkAsIs(HistoryAggregateType aggregate, DateTime start, DateTime end,
TimeSpan interval, IEnumerable<(DateTime Time, HistorianValue Value, uint Status)> samples,
AggregateConfiguration? configuration = null) =>
RunCore(CompatibilityAggregateFactory.Create(AggregateId(aggregate), start, end, interval.TotalMilliseconds, false,
configuration ?? DefaultConfiguration, Telemetry), start, end, samples);
private static IReadOnlyList<Result> RunCore(IAggregateCalculator calc, DateTime start, DateTime end,
IEnumerable<(DateTime Time, HistorianValue Value, uint Status)> samples)
{
// The SDK expects values in the direction of the read: ascending forward, descending reverse.
var ordered = samples.OrderBy(s => s.Time).ToList();
if (end < start) ordered.Reverse();
foreach (var s in ordered) calc.QueueRawValue(ToDataValue(s.Time, s.Value, s.Status));
var results = new List<Result>();
for (var guard = 0; guard < 100_000; guard++)
{
if (!calc.TryGetProcessedValue(true, out var dv)) break;
results.Add(new Result(dv.WrappedValue.AsBoxedObject(Variant.BoxingBehavior.Legacy), dv.StatusCode.Code, (DateTime)dv.SourceTimestamp));
}
return results;
}
/// <summary>
/// Asserts our snapshots equal the SDK's: same count, same timestamps, same status code bits (severity + sub-code)
/// and Partial bit (and optionally the Calculated / Interpolated bits), same value (doubles to 1e-9; ints exactly;
/// null on a Bad status). A failure lists every differing interval side by side.
/// </summary>
/// <param name="ours">Our processed values.</param>
/// <param name="sdk">The SDK's.</param>
/// <param name="label">Context for failure messages.</param>
/// <param name="compareCalculatedInterpolatedBits">Also compare the Calculated / Interpolated aggregate bits.</param>
/// <param name="compareCodeBits">Compare the severity + sub-code (false only for a documented status divergence).</param>
/// <param name="compareValues">Compare the values (false only for a documented value divergence).</param>
/// <param name="compareTimestamps">Compare the timestamps (false only for a documented timestamp divergence).</param>
/// <param name="comparePartialBit">Compare the Partial bit (false only for a documented divergence).</param>
public static void ShouldMatch(IReadOnlyList<DataValueSnapshot> ours, IReadOnlyList<Result> sdk, string label,
bool compareCalculatedInterpolatedBits = true, bool compareCodeBits = true, bool compareValues = true,
bool compareTimestamps = true, bool comparePartialBit = true)
{
var problems = new List<string>();
if (ours.Count != sdk.Count) problems.Add($"interval count: ours {ours.Count}, sdk {sdk.Count}");
for (var i = 0; i < Math.Min(ours.Count, sdk.Count); i++)
{
var o = ours[i];
var s = sdk[i];
var bitMask = (comparePartialBit ? 0x4u : 0u) | (compareCodeBits ? 0xFFFF0000u : 0u)
| (compareCalculatedInterpolatedBits ? 0x3u : 0u);
var same = (!compareTimestamps || o.SourceTimestampUtc == s.Timestamp)
&& (o.StatusCode & bitMask) == (s.StatusCode & bitMask);
if (!compareValues || (!compareCodeBits && StatusCode.IsBad(s.StatusCode)))
{
// Values not compared (or the SDK answered Bad under a status this comparison does not check).
}
else if (same && !StatusCode.IsBad(s.StatusCode))
{
same = s.Value switch
{
null => o.Value is null,
int n => o.Value is not null && Convert.ToInt32(o.Value) == n,
_ => o.Value is not null && Math.Abs(Convert.ToDouble(o.Value) - Convert.ToDouble(s.Value)) <= 1e-9,
};
}
else if (same && compareCodeBits) same = o.Value is null;
if (!same)
problems.Add($"[{i}] ours {o.SourceTimestampUtc:HH:mm:ss.fffffff} {o.Value ?? "null"} 0x{o.StatusCode:X8}" +
$" | sdk {s.Timestamp:HH:mm:ss.fffffff} {s.Value ?? "null"} 0x{s.StatusCode:X8}");
}
problems.ShouldBeEmpty($"{label} differs from the SDK:\n" + string.Join("\n", problems));
}
/// <summary>
/// The baseline <see cref="BaselineStatusAggregateCalculator"/> with PercentGood counting <b>Good</b> regions only — Part 13
/// §5.4.3.31/§5.4.3.33, and the 1.5.378.106 rule. Everything else (bounds, regions, Partial, status) is the
/// baseline's own code, run under the same configuration as PercentBad.
/// </summary>
private sealed class Part13PercentGoodCalculator(NodeId aggregateId, DateTime startTime, DateTime endTime,
double processingInterval, bool stepped, AggregateConfiguration configuration, ITelemetryContext telemetry)
: BaselineStatusAggregateCalculator(aggregateId, startTime, endTime, processingInterval, stepped, configuration, telemetry)
{
protected override LegacyDataValue ComputeValue(TimeSlice slice)
{
var values = GetValuesWithSimpleBounds(slice);
if (values == null || values.Count == 0) return GetNoDataValue(slice);
var regions = GetRegionsInValueSet(values, false, true);
double good = 0, total = 0;
foreach (var region in regions)
{
total += region.Duration;
if (StatusCode.IsGood(region.StatusCode)) good += region.Duration;
}
var value = new LegacyDataValue
{
WrappedValue = ZB.MOM.WW.OtOpcUa.OpcUaServer.SdkValueBoundary.FromClr(good / total * 100),
SourceTimestamp = GetTimestamp(slice),
ServerTimestamp = GetTimestamp(slice),
};
value.StatusCode = value.StatusCode.WithAggregateBits(AggregateBits.Calculated);
return value;
}
}
/// <summary>The <see cref="CompatibilityAggregateFactory"/> adapter, for a calculator built here.</summary>
private sealed class LegacyCalculatorAdapter(BaselineAggregateCalculator calculator) : IAggregateCalculator
{
public NodeId AggregateId => calculator.AggregateId;
public bool QueueRawValue(DataValue value) => calculator.QueueRawValue(LegacyDataValue.FromSdk(value));
public bool HasEndTimePassed(DateTimeUtc currentTime) => calculator.HasEndTimePassed((DateTime)currentTime);
public bool TryGetProcessedValue(bool returnPartial, out DataValue value)
{
var processed = calculator.GetProcessedValue(returnPartial);
value = processed is null ? default : processed.ToSdk();
return processed is not null;
}
}
private static DataValue ToDataValue(DateTime t, HistorianValue v, uint status) => new(
v.Kind switch
{
HistorianValueKind.Empty => Variant.Null,
HistorianValueKind.Int64 => Variant.From(v.Integer),
HistorianValueKind.Boolean => Variant.From(v.Number != 0),
HistorianValueKind.String => v.Text is { } text ? Variant.From(text) : Variant.Null,
_ => Variant.From(v.Number),
},
status, t, t);
private static NodeId AggregateId(HistoryAggregateType a) => a switch
{
HistoryAggregateType.Average => ObjectIds.AggregateFunction_Average,
HistoryAggregateType.Minimum => ObjectIds.AggregateFunction_Minimum,
HistoryAggregateType.Maximum => ObjectIds.AggregateFunction_Maximum,
HistoryAggregateType.Range => ObjectIds.AggregateFunction_Range,
HistoryAggregateType.MinimumActualTime => ObjectIds.AggregateFunction_MinimumActualTime,
HistoryAggregateType.MaximumActualTime => ObjectIds.AggregateFunction_MaximumActualTime,
HistoryAggregateType.Count => ObjectIds.AggregateFunction_Count,
HistoryAggregateType.PercentGood => ObjectIds.AggregateFunction_PercentGood,
HistoryAggregateType.PercentBad => ObjectIds.AggregateFunction_PercentBad,
HistoryAggregateType.Start => ObjectIds.AggregateFunction_Start,
HistoryAggregateType.End => ObjectIds.AggregateFunction_End,
HistoryAggregateType.Delta => ObjectIds.AggregateFunction_Delta,
HistoryAggregateType.TimeAverage => ObjectIds.AggregateFunction_TimeAverage,
HistoryAggregateType.TimeAverage2 => ObjectIds.AggregateFunction_TimeAverage2,
HistoryAggregateType.Total => ObjectIds.AggregateFunction_Total,
HistoryAggregateType.Total2 => ObjectIds.AggregateFunction_Total2,
HistoryAggregateType.Interpolative => ObjectIds.AggregateFunction_Interpolative,
_ => throw new ArgumentOutOfRangeException(nameof(a), a, "no SDK aggregate id mapped"),
};
}