feat(historian): Part 13 time-weighted aggregates on SqlServer + QuestDb (#671)
New AggregateFamily.TimeWeighted serving TimeAverage, TimeAverage2, Total, Total2 and Interpolative, evaluated by the shared Sql.Common TimeWeightedAggregator for both SQL backends (identical results by construction). HistoryAggregateType gains TimeAverage2 + Total2 (appended); OtOpcUaNodeManager.MapAggregate maps their NodeIds. Gateway's mapper already refuses unknown defined members => BadAggregateNotSupported per node. Semantics (server defaults, client AggregateConfiguration ignored): TreatUncertainAsBad=false, PercentDataBad=PercentDataGood=100, UseSlopedExtrapolation=false. Sloped for Double/Int64, stepped for Boolean; a usable sample followed by a Bad one is held up to the outage (AtTime rule); stepped Uncertain extrapolation past the last sample. TimeAverage/Total use interpolated bounding (bridge outages); TimeAverage2/Total2 exclude Bad time. Bounding values: latest usable + latest any before start, first any + first usable at/after end (four TOP 1 / LIMIT 1 seeks). CLIENT-VISIBLE: Total on SqlServer/QuestDb was SUM of samples; it is now the time-weighted integral (TimeAverage x interval seconds), matching Gateway's Integral. Release note in docs/Historian.md. Trade-off (deviation from the preferred hybrid pushdown, allowed by the design): the time-weighted family is NOT pushed down. Each read streams the window's rows plus the four bounds (SQL Server: one five-result-set batch; QuestDB: bounds UNION ALL + window select) into the C# evaluator. Network is O(samples in window), memory O(buckets). Writing the per-segment interpolation/edge splitting twice in two SQL dialects and keeping them bit-identical was judged the bigger risk; this also makes the QuestDB lag/lead spike moot. Tests: 35 hand-computed TimeWeightedAggregator unit cases (each of 10 implementation mutations goes red); served-aggregate pin 13 -> 17; conformance sparse fixture (intervals wider and narrower than sample gaps) + an outage straddling both window edges (each of the four SQL seeks disabled in turn goes red); node-manager NodeId mapping test.
This commit is contained in:
Joseph Doherty
@@ -39,7 +39,6 @@ public abstract class ProcessedConformance : ConformanceBase
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[InlineData(HistoryAggregateType.Average, 15d, 40d, 50d)]
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[InlineData(HistoryAggregateType.Minimum, 10d, 40d, 50d)]
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[InlineData(HistoryAggregateType.Maximum, 20d, 40d, 50d)]
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[InlineData(HistoryAggregateType.Total, 30d, 40d, 50d)]
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[InlineData(HistoryAggregateType.Start, 10d, 40d, 50d)]
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[InlineData(HistoryAggregateType.End, 20d, 40d, 50d)]
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[InlineData(HistoryAggregateType.Delta, 10d, 0d, 0d)]
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@@ -121,8 +120,8 @@ public abstract class ProcessedConformance : ConformanceBase
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(edge, HistorianValue.FromDouble(4), Good), // first tick of B1
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(At(40).AddTicks(-B.ResolutionTicks), HistorianValue.FromDouble(8), Good), // last tick of B1
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(At(40), HistorianValue.FromDouble(2000), Good)); // == end: excluded
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var s = (await B.CreateDataSource().ReadProcessedAsync("E", At(0), At(40), Twenty, HistoryAggregateType.Total, Ct)).Samples;
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s.Select(x => x.Value).ShouldBe([3d, 12d]);
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var s = (await B.CreateDataSource().ReadProcessedAsync("E", At(0), At(40), Twenty, HistoryAggregateType.Average, Ct)).Samples;
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s.Select(x => x.Value).ShouldBe([1.5d, 6d]);
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s.ShouldAllBe(x => x.StatusCode == GoodCalc);
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}
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@@ -164,11 +163,15 @@ public abstract class ProcessedConformance : ConformanceBase
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(await src.ReadProcessedAsync("A", start, end, TimeSpan.Zero, HistoryAggregateType.Count, Ct))
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.Samples.Single().Value.ShouldBe(4);
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// Also a whole-DateTime-range window (0001 → 9999-12-31T23:59:59.9999999).
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(await src.ReadProcessedAsync("A", DateTime.MinValue, DateTime.MaxValue, TimeSpan.Zero, HistoryAggregateType.Total, Ct))
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.Samples.Single().Value.ShouldBe(120d);
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(await src.ReadProcessedAsync("A", DateTime.MinValue, DateTime.MaxValue, TimeSpan.Zero, HistoryAggregateType.Count, Ct))
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.Samples.Single().Value.ShouldBe(4);
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// An interval wider than the window (here TimeSpan.MaxValue) is the same single interval, no overflow.
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(await src.ReadProcessedAsync("A", start, end, TimeSpan.MaxValue, HistoryAggregateType.Total, Ct))
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.Samples.Single().Value.ShouldBe(120d);
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(await src.ReadProcessedAsync("A", start, end, TimeSpan.MaxValue, HistoryAggregateType.Count, Ct))
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.Samples.Single().Value.ShouldBe(4);
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// The time-weighted path over the whole range: ≈ the extrapolated 50 that dominates eight millennia.
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var tw = (await src.ReadProcessedAsync("A", start, end, TimeSpan.Zero, HistoryAggregateType.TimeAverage2, Ct)).Samples.Single();
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((double)tw.Value!).ShouldBe(50d, 1e-6);
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tw.StatusCode.ShouldBe(UncertainCalc);
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src.GetHealthSnapshot().TotalFailures.ShouldBe(0);
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}
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@@ -303,7 +306,8 @@ public abstract class ProcessedConformance : ConformanceBase
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async Task<DataValueSnapshot> One(HistoryAggregateType a) =>
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(await src.ReadProcessedAsync("B", At(0), At(20), Twenty, a, Ct)).Samples.Single();
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(await One(HistoryAggregateType.Average)).Value.ShouldBe(0.75d);
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(await One(HistoryAggregateType.Total)).Value.ShouldBe(3d);
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// Total is time-weighted (#671): stepped 1 over [0,5), 0 over [5,10), 1 over [10,20) ⇒ 15 value·s.
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(await One(HistoryAggregateType.Total)).Value.ShouldBe(15d);
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(await One(HistoryAggregateType.Start)).Value.ShouldBe(true);
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(await One(HistoryAggregateType.Count)).Value.ShouldBe(4);
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}
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@@ -317,8 +321,6 @@ public abstract class ProcessedConformance : ConformanceBase
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}
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[Theory]
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[InlineData(HistoryAggregateType.Interpolative)]
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[InlineData(HistoryAggregateType.TimeAverage)]
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[InlineData(HistoryAggregateType.StartBound)]
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[InlineData(HistoryAggregateType.EndBound)]
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[InlineData(HistoryAggregateType.DeltaBounds)]
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@@ -338,6 +340,135 @@ public abstract class ProcessedConformance : ConformanceBase
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src.GetHealthSnapshot().TotalQueries.ShouldBe(0);
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}
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// ------------------------------------------------------------------------------------------ Time-weighted (#671)
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private const uint GoodRaw = 0x00000000u;
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private const uint GoodInterp = 0x00000402u; // Good | InfoType 0x400 | Interpolated 0x2
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private const uint UncertainInterp = 0x40A40402u; // UncertainDataSubNormal | 0x402
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private const uint NoData = 0x809B0000u;
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/// <summary>
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/// Sparse tag W: −30 = 0 G (bound before the window), +20 = 40 G, +30 = outage marker, +50 = 20 G, +100 = 20 G
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/// (bound after the window). Window [t0, t0+80s). Simple-bounding signal: [−30,20) 0→40 sloped Good (24 at +0,
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/// 32 at +10); [20,30) 40 held into the outage, Uncertain; [30,50) Bad; [50,100) 20 Good. Interpolated bounding:
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/// the same, but [20,50) is sloped 40→20 straight across the outage (100/3 at +30, 80/3 at +40).
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/// </summary>
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private Task SeedWAsync() => B.SeedAsync("W",
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(At(-30), HistorianValue.FromDouble(0), Good),
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(At(20), HistorianValue.FromDouble(40), Good),
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(At(30), HistorianValue.Empty, BadNoCommunication),
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(At(50), HistorianValue.FromDouble(20), Good),
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(At(100), HistorianValue.FromDouble(20), Good));
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private async Task<IReadOnlyList<DataValueSnapshot>> ReadW(HistoryAggregateType agg, double intervalS) =>
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(await B.CreateDataSource().ReadProcessedAsync("W", At(0), At(80), TimeSpan.FromSeconds(intervalS), agg, Ct)).Samples;
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private static void Values(IReadOnlyList<DataValueSnapshot> s, params double?[] expected)
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{
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s.Count.ShouldBe(expected.Length);
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for (var i = 0; i < expected.Length; i++)
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{
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if (expected[i] is { } e) ((double)s[i].Value!).ShouldBe(e, 1e-9, $"bucket {i}");
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else s[i].Value.ShouldBeNull($"bucket {i}");
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}
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}
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[Theory]
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// 40 s intervals (wider than the sample gaps). B0 [0,40): raw [0,20) 24→40 = 640 Good + [20,30) 40 = 400 Uncertain,
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// [30,40) Bad; bridged 640 + [20,40) 40→80/3 = 2000/3. B1 [40,80): raw [50,80) 20 = 600 Good, [40,50) Bad; bridged
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// [40,50) 80/3→20 = 700/3 + 600.
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[InlineData(HistoryAggregateType.TimeAverage, 98d / 3d, 125d / 6d)] // (3920/3)/40, (2500/3)/40
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[InlineData(HistoryAggregateType.Total, 3920d / 3d, 2500d / 3d)] // TimeAverage × 40 s
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[InlineData(HistoryAggregateType.TimeAverage2, 104d / 3d, 20d)] // 1040/30 s, 600/30 s
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[InlineData(HistoryAggregateType.Total2, 1040d, 600d)]
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public async Task Time_weighted_aggregates_over_a_sparse_tag_with_wide_intervals(HistoryAggregateType agg, double b0, double b1)
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{
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await SeedWAsync();
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var s = await ReadW(agg, 40);
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Values(s, b0, b1);
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// Neither interval is Good throughout (an outage in each) ⇒ Uncertain.
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s.Select(x => x.StatusCode).ShouldBe([UncertainCalc, UncertainCalc]);
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s.Select(x => x.SourceTimestampUtc).ShouldBe([B.Round(At(0)), B.Round(At(40))]);
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}
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[Fact]
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public async Task Interpolative_over_a_sparse_tag_with_wide_intervals()
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{
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await SeedWAsync();
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var s = await ReadW(HistoryAggregateType.Interpolative, 40);
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// +0: from the bound before the window, 0 + 40·(30/50) = 24, Good. +40: inside the outage, bridged 80/3, Uncertain.
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Values(s, 24, 80d / 3d);
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s.Select(x => x.StatusCode).ShouldBe([GoodInterp, UncertainInterp]);
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}
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[Fact]
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public async Task TimeAverage2_over_a_sparse_tag_with_narrow_intervals()
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{
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await SeedWAsync();
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// 10 s intervals (narrower than the gaps): [0,10) 24→32 = 28 G; [10,20) 32→40 = 36 G; [20,30) 40 held, Uncertain;
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// [30,40) and [40,50) inside the outage ⇒ BadNoData; [50,60) … [70,80) the flat 20 up to the bound after, Good.
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var s = await ReadW(HistoryAggregateType.TimeAverage2, 10);
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Values(s, 28, 36, 40, null, null, 20, 20, 20);
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s.Select(x => x.StatusCode).ShouldBe(
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[GoodCalc, GoodCalc, UncertainCalc, NoDataCalc, NoDataCalc, GoodCalc, GoodCalc, GoodCalc]);
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// Total2 of the first interval: 28 × 10 s.
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((double)(await ReadW(HistoryAggregateType.Total2, 10))[0].Value!).ShouldBe(280d, 1e-9);
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}
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[Fact]
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public async Task Interpolative_over_a_sparse_tag_with_narrow_intervals()
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{
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await SeedWAsync();
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var s = await ReadW(HistoryAggregateType.Interpolative, 10);
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// +0 24, +10 32 (sloped from the bound); +20 exact 40 (raw Good); +30 ON the outage marker ⇒ bridged 100/3;
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// +40 bridged 80/3; +50 exact 20; +60, +70 on the Good 20→20 segment to the bound after.
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Values(s, 24, 32, 40, 100d / 3d, 80d / 3d, 20, 20, 20);
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s.Select(x => x.StatusCode).ShouldBe(
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[GoodInterp, GoodInterp, GoodRaw, UncertainInterp, UncertainInterp, GoodRaw, GoodInterp, GoodInterp]);
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}
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[Fact]
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public async Task Outages_straddling_both_window_edges_use_the_four_bound_seeks()
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{
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// −10 = 0 G, −5 outage, +10 = 20 G, +20 outage, +30 = 40 G; window [0,20). The four seeks return −10 (latest
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// usable before), −5 (latest before), +20 (first at/after end) and +30 (first usable at/after end).
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await B.SeedAsync("O",
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(At(-10), HistorianValue.FromDouble(0), Good),
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(At(-5), HistorianValue.Empty, BadNoCommunication),
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(At(10), HistorianValue.FromDouble(20), Good),
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(At(20), HistorianValue.Empty, BadNoCommunication),
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(At(30), HistorianValue.FromDouble(40), Good));
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var src = B.CreateDataSource();
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async Task<IReadOnlyList<DataValueSnapshot>> Read(HistoryAggregateType a, double intervalS) =>
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(await src.ReadProcessedAsync("O", At(0), At(20), TimeSpan.FromSeconds(intervalS), a, Ct)).Samples;
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// Bridged: −10..10 0→20 ⇒ [0,10) mean 15 (150); 10..30 20→40 ⇒ [10,20) mean 25 (250). 400 / 20 = 20.
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// (Without the usable-before seek: 250/10 = 25; without the usable-after seek: [10,20) held 20 ⇒ 17.5.)
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var ta = (await Read(HistoryAggregateType.TimeAverage, 0)).Single();
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((double)ta.Value!).ShouldBe(20d, 1e-9);
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ta.StatusCode.ShouldBe(UncertainCalc);
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// Simple bounding: [0,10) inside the outage from −5; [10,20) 20 held into the outage at +20 ⇒ 200 / 10 s = 20.
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// (Without the any-before seek: (150+200)/20 = 17.5; without the any-after seek: [10,20) 20→30 ⇒ 25.)
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var ta2 = (await Read(HistoryAggregateType.TimeAverage2, 0)).Single();
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((double)ta2.Value!).ShouldBe(20d, 1e-9);
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ta2.StatusCode.ShouldBe(UncertainCalc);
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// +0 inside the outage ⇒ bridged 10, Uncertain; +10 exact 20, raw Good.
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var i = await Read(HistoryAggregateType.Interpolative, 10);
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Values(i, 10, 20);
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i.Select(x => x.StatusCode).ShouldBe([UncertainInterp, GoodRaw]);
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}
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[Fact]
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public async Task Time_weighted_aggregates_on_an_unknown_tag_are_BadNoData()
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{
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var src = B.CreateDataSource();
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(await src.ReadProcessedAsync("nope", At(0), At(40), Twenty, HistoryAggregateType.TimeAverage, Ct))
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.Samples.ShouldAllBe(x => x.StatusCode == NoDataCalc);
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(await src.ReadProcessedAsync("nope", At(0), At(40), Twenty, HistoryAggregateType.Interpolative, Ct))
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.Samples.ShouldAllBe(x => x.StatusCode == NoData);
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src.GetHealthSnapshot().TotalFailures.ShouldBe(0);
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}
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[Fact]
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public async Task The_bucket_count_is_capped_at_100000()
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{
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+3
-3
@@ -90,8 +90,8 @@ public sealed class ReadTests(QuestDbFixture fx) : IAsyncLifetime
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max.Value.ShouldBe(50d);
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max.SourceTimestampUtc.ShouldBe(_b.Round(At(40)));
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// The extreme DateTime range: MinValue/MaxValue are nudged (never bound as ±infinity, which would match nothing).
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(await src.ReadProcessedAsync("A", DateTime.MinValue, DateTime.MaxValue, TimeSpan.Zero, HistoryAggregateType.Total, Ct))
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.Samples.Single().Value.ShouldBe(120d);
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(await src.ReadProcessedAsync("A", DateTime.MinValue, DateTime.MaxValue, TimeSpan.Zero, HistoryAggregateType.Count, Ct))
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.Samples.Single().Value.ShouldBe(4);
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// A pre-1970 window holds no data and is not an error.
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(await src.ReadProcessedAsync("A", start, new DateTime(1969, 1, 1, 0, 0, 0, DateTimeKind.Utc), TimeSpan.FromDays(3650),
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HistoryAggregateType.Count, Ct)).Samples.ShouldAllBe(x => x.StatusCode == NoDataCalc);
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@@ -247,7 +247,7 @@ public sealed class ReadTests(QuestDbFixture fx) : IAsyncLifetime
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await Should.ThrowAsync<HistorianSchemaMissingException>(() => src.ReadEventsAsync(null, At(0), At(5), 0, Ct));
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// Client-request errors are thrown before any I/O and are not backend failures.
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await Should.ThrowAsync<HistoryAggregateNotSupportedException>(() =>
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src.ReadProcessedAsync("A", At(0), At(5), TimeSpan.Zero, HistoryAggregateType.Interpolative, Ct));
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src.ReadProcessedAsync("A", At(0), At(5), TimeSpan.Zero, HistoryAggregateType.StandardDeviationPopulation, Ct));
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await Should.ThrowAsync<ArgumentOutOfRangeException>(() =>
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src.ReadProcessedAsync("A", At(0), At(100), TimeSpan.FromTicks(10), HistoryAggregateType.Count, Ct));
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-1
@@ -46,7 +46,6 @@ public sealed class AggregateEvaluatorTests
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[InlineData(HistoryAggregateType.Average, 15d, 40d, 50d)]
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[InlineData(HistoryAggregateType.Minimum, 10d, 40d, 50d)]
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[InlineData(HistoryAggregateType.Maximum, 20d, 40d, 50d)]
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[InlineData(HistoryAggregateType.Total, 30d, 40d, 50d)]
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[InlineData(HistoryAggregateType.Start, 10d, 40d, 50d)]
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[InlineData(HistoryAggregateType.End, 20d, 40d, 50d)]
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[InlineData(HistoryAggregateType.Delta, 10d, 0d, 0d)]
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+6
-2
@@ -10,7 +10,11 @@ public sealed class ProcessedReadTests
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[Fact]
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public void Every_enum_member_is_either_served_or_refused()
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{
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// Thirteen served; anything appended to the enum later falls to the refusal (total default).
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Enum.GetValues<HistoryAggregateType>().Count(a => AggregateFamilies.FamilyOf(a) is not null).ShouldBe(13);
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// Seventeen served (#671 added TimeAverage, TimeAverage2, Interpolative and Total2, and moved Total to the
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// time-weighted family); anything appended to the enum later falls to the refusal (total default).
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Enum.GetValues<HistoryAggregateType>().Count(a => AggregateFamilies.FamilyOf(a) is not null).ShouldBe(17);
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Enum.GetValues<HistoryAggregateType>().Where(a => AggregateFamilies.FamilyOf(a) == AggregateFamily.TimeWeighted)
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.ShouldBe([HistoryAggregateType.Total, HistoryAggregateType.Interpolative, HistoryAggregateType.TimeAverage,
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HistoryAggregateType.TimeAverage2, HistoryAggregateType.Total2]);
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}
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}
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+345
@@ -0,0 +1,345 @@
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using Shouldly;
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using Xunit;
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using ZB.MOM.WW.OtOpcUa.Core.Abstractions;
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using static ZB.MOM.WW.OtOpcUa.Driver.Historian.Sql.Common.Tests.Fixture;
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namespace ZB.MOM.WW.OtOpcUa.Driver.Historian.Sql.Common.Tests;
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/// <summary>
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/// The Part 13 time-weighted aggregates (#671) over hand-built sample streams. Every literal is hand-computed in the
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/// comment above it (areas in value·seconds; "raw" = the simple-bounding signal, "bridged" = interpolated bounding).
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/// </summary>
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public sealed class TimeWeightedAggregatorTests
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{
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private static readonly DateTime Now = At(3600);
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private const uint GoodRaw = 0x00000000u;
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private const uint NoData = 0x809B0000u;
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private const uint InvalidInputs = 0x80D60000u;
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private static IReadOnlyList<DataValueSnapshot> Run(HistoryAggregateType agg, double from, double to, double intervalS,
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params StoredSample[] samples) =>
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TimeWeightedAggregator.Evaluate(agg, BucketPlan.Create(At(from), At(to), TimeSpan.FromSeconds(intervalS)), samples, Now);
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private static void Values(IReadOnlyList<DataValueSnapshot> s, params double?[] expected)
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{
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s.Count.ShouldBe(expected.Length);
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for (var i = 0; i < expected.Length; i++)
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{
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if (expected[i] is { } e) ((double)s[i].Value!).ShouldBe(e, 1e-9, $"bucket {i}");
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else s[i].Value.ShouldBeNull($"bucket {i}");
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}
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}
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// ---------------------------------------------------------------- tag A: +0=10 G, +10=20 G, +20=Bad, +30=40 G, +40=50 G
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// Window [0,80), 20 s buckets. Raw: [0,10) 10→20 Good (150); [10,20) 20 held into the outage, Uncertain (200);
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// [20,30) Bad; [30,40) 40→50 Good (450); [40,80) 50 extrapolated, Uncertain (2000).
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// Bridged: [0,10) 150; [10,30) 20→40 = 250 in B0 + 350 in B1; [30,40) 450; [40,80) 50 held.
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[Fact]
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public void TimeAverage_bridges_the_outage_on_tag_A()
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{
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// B0 (150+250)/20 = 20; B1 (350+450)/20 = 40; B2, B3 = 50. Only B1's [30,40) and B0's [0,10) are Good ⇒ all Uncertain.
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var s = Run(HistoryAggregateType.TimeAverage, 0, 80, 20, A);
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Values(s, 20, 40, 50, 50);
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s.Select(x => x.StatusCode).ShouldBe([UncertainCalc, UncertainCalc, UncertainCalc, UncertainCalc]);
|
||||
s.Select(x => x.SourceTimestampUtc).ShouldBe([At(0), At(20), At(40), At(60)]);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Total_is_TimeAverage_times_interval_seconds_on_tag_A()
|
||||
{
|
||||
// 20×20, 40×20, 50×20, 50×20.
|
||||
Values(Run(HistoryAggregateType.Total, 0, 80, 20, A), 400, 800, 1000, 1000);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void TimeAverage2_excludes_the_bad_interval_on_tag_A()
|
||||
{
|
||||
// B0 350/20 = 17.5; B1 450/10 = 45 (the Bad [20,30) excluded); B2, B3 = 50.
|
||||
var s = Run(HistoryAggregateType.TimeAverage2, 0, 80, 20, A);
|
||||
Values(s, 17.5, 45, 50, 50);
|
||||
s.Select(x => x.StatusCode).ShouldBe([UncertainCalc, UncertainCalc, UncertainCalc, UncertainCalc]);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Total2_integrates_only_the_non_bad_data_on_tag_A()
|
||||
{
|
||||
// B0 150+200 = 350; B1 450; B2, B3 1000.
|
||||
Values(Run(HistoryAggregateType.Total2, 0, 80, 20, A), 350, 450, 1000, 1000);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Interpolative_on_tag_A()
|
||||
{
|
||||
// +0 exact Good 10 (raw status); +20 sits on the Bad sample ⇒ bridged 20→40 at the midpoint = 30, Uncertain;
|
||||
// +40 exact Good 50; +60 past the last sample ⇒ 50 extrapolated, Uncertain.
|
||||
var s = Run(HistoryAggregateType.Interpolative, 0, 80, 20, A);
|
||||
Values(s, 10, 30, 50, 50);
|
||||
s.Select(x => x.StatusCode).ShouldBe([GoodRaw, UncertainInterpolated, GoodRaw, UncertainInterpolated]);
|
||||
s.Select(x => x.SourceTimestampUtc).ShouldBe([At(0), At(20), At(40), At(60)]);
|
||||
s.ShouldAllBe(x => x.ServerTimestampUtc == Now);
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------- bounding values on both sides, crossing segments
|
||||
|
||||
private static readonly StoredSample[] Bounded =
|
||||
[
|
||||
S(-10, HistorianValue.FromDouble(0), Good), // bound before the window
|
||||
S(10, HistorianValue.FromDouble(20), Good),
|
||||
S(30, HistorianValue.FromDouble(20), Good), // bound after the window
|
||||
];
|
||||
|
||||
[Theory]
|
||||
// Window [0,20), 10 s. Segment -10..10 (0→20) crosses the window start: B0 [0,10) = 10→20, mean 15.
|
||||
// B1 [10,20) = 20 flat (crossing the window end into the bound). All Good.
|
||||
[InlineData(HistoryAggregateType.TimeAverage, 15d, 20d)]
|
||||
[InlineData(HistoryAggregateType.TimeAverage2, 15d, 20d)]
|
||||
[InlineData(HistoryAggregateType.Total, 150d, 200d)]
|
||||
[InlineData(HistoryAggregateType.Total2, 150d, 200d)]
|
||||
public void Bounding_values_before_and_after_the_window_are_used(HistoryAggregateType agg, double b0, double b1)
|
||||
{
|
||||
var s = Run(agg, 0, 20, 10, Bounded);
|
||||
Values(s, b0, b1);
|
||||
s.ShouldAllBe(x => x.StatusCode == GoodCalc);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Interpolative_interpolates_from_the_bound_before_the_window()
|
||||
{
|
||||
// +0: 0 + (20−0)·(10/20) = 10, Good both ends; +10 exact Good 20.
|
||||
var s = Run(HistoryAggregateType.Interpolative, 0, 20, 10, Bounded);
|
||||
Values(s, 10, 20);
|
||||
s.Select(x => x.StatusCode).ShouldBe([GoodInterpolated, GoodRaw]);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void A_segment_spanning_several_buckets_is_split_at_every_edge()
|
||||
{
|
||||
// One segment 0..40 (0→40), window [0,40), 10 s: bucket means 5, 15, 25, 35; Total2 50, 150, 250, 350.
|
||||
StoredSample[] line = [S(0, HistorianValue.FromDouble(0), Good), S(40, HistorianValue.FromDouble(40), Good)];
|
||||
Values(Run(HistoryAggregateType.TimeAverage2, 0, 40, 10, line), 5, 15, 25, 35);
|
||||
Values(Run(HistoryAggregateType.Total2, 0, 40, 10, line), 50, 150, 250, 350);
|
||||
Values(Run(HistoryAggregateType.Interpolative, 0, 40, 10, line), 0, 10, 20, 30);
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------- empty buckets between bounds
|
||||
|
||||
[Fact]
|
||||
public void An_empty_bucket_with_bounds_on_both_sides_is_interpolated_not_no_data()
|
||||
{
|
||||
// -5 = 0, +25 = 30 (slope 1/s); window [0,20), 10 s holds no sample at all.
|
||||
StoredSample[] sparse = [S(-5, HistorianValue.FromDouble(0), Good), S(25, HistorianValue.FromDouble(30), Good)];
|
||||
var interp = Run(HistoryAggregateType.Interpolative, 0, 20, 10, sparse);
|
||||
Values(interp, 5, 15);
|
||||
interp.ShouldAllBe(x => x.StatusCode == GoodInterpolated);
|
||||
// B0 5→15 mean 10; B1 15→25 mean 20.
|
||||
var avg = Run(HistoryAggregateType.TimeAverage, 0, 20, 10, sparse);
|
||||
Values(avg, 10, 20);
|
||||
avg.ShouldAllBe(x => x.StatusCode == GoodCalc);
|
||||
Values(Run(HistoryAggregateType.Total, 0, 20, 10, sparse), 100, 200);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Past_the_last_sample_the_value_is_extrapolated_stepped_and_uncertain()
|
||||
{
|
||||
// -5 = 7 and nothing later: held at 7 over [0,10).
|
||||
StoredSample[] one = [S(-5, HistorianValue.FromDouble(7), Good)];
|
||||
var s = Run(HistoryAggregateType.TimeAverage2, 0, 10, 0, one).Single();
|
||||
((double)s.Value!).ShouldBe(7d);
|
||||
s.StatusCode.ShouldBe(UncertainCalc);
|
||||
var i = Run(HistoryAggregateType.Interpolative, 0, 10, 0, one).Single();
|
||||
((double)i.Value!).ShouldBe(7d);
|
||||
i.StatusCode.ShouldBe(UncertainInterpolated);
|
||||
}
|
||||
|
||||
[Theory]
|
||||
[InlineData(HistoryAggregateType.TimeAverage)]
|
||||
[InlineData(HistoryAggregateType.TimeAverage2)]
|
||||
[InlineData(HistoryAggregateType.Total)]
|
||||
[InlineData(HistoryAggregateType.Total2)]
|
||||
public void No_data_at_all_is_BadNoData_with_the_calculated_bit(HistoryAggregateType agg)
|
||||
{
|
||||
var s = Run(agg, 0, 20, 10);
|
||||
s.ShouldAllBe(x => x.StatusCode == NoDataCalc && x.Value == null);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Interpolative_with_no_data_is_plain_BadNoData()
|
||||
{
|
||||
// The only sample is at +15: nothing at or before either bucket start (+0, +10).
|
||||
var s = Run(HistoryAggregateType.Interpolative, 0, 20, 10, S(15, HistorianValue.FromDouble(1), Good));
|
||||
s.ShouldAllBe(x => x.StatusCode == NoData && x.Value == null);
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------- Bad intervals: TimeAverage vs TimeAverage2/Total2
|
||||
|
||||
private static readonly StoredSample[] Outage =
|
||||
[
|
||||
S(0, HistorianValue.FromDouble(10), Good),
|
||||
S(5, HistorianValue.Empty, BadNoCommunication),
|
||||
S(15, HistorianValue.FromDouble(30), Good),
|
||||
S(25, HistorianValue.FromDouble(30), Good), // bound after the window
|
||||
];
|
||||
|
||||
[Fact]
|
||||
public void TimeAverage2_and_Total2_exclude_the_bad_interval()
|
||||
{
|
||||
// Window [0,20) one bucket. Raw: [0,5) 10 held into the outage (50, Uncertain); [5,15) Bad; [15,20) 30 Good (150).
|
||||
// TimeAverage2 = 200 / 10 s = 20; Total2 = 200.
|
||||
var ta2 = Run(HistoryAggregateType.TimeAverage2, 0, 20, 0, Outage).Single();
|
||||
((double)ta2.Value!).ShouldBe(20d);
|
||||
ta2.StatusCode.ShouldBe(UncertainCalc);
|
||||
((double)Run(HistoryAggregateType.Total2, 0, 20, 0, Outage).Single().Value!).ShouldBe(200d);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void TimeAverage_and_Total_interpolate_across_the_bad_interval()
|
||||
{
|
||||
// Bridged: [0,15) 10→30, mean 20 ⇒ 300; [15,20) 30 ⇒ 150. TimeAverage = 450/20 = 22.5; Total = 22.5 × 20 = 450.
|
||||
var ta = Run(HistoryAggregateType.TimeAverage, 0, 20, 0, Outage).Single();
|
||||
((double)ta.Value!).ShouldBe(22.5d);
|
||||
ta.StatusCode.ShouldBe(UncertainCalc);
|
||||
((double)Run(HistoryAggregateType.Total, 0, 20, 0, Outage).Single().Value!).ShouldBe(450d);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void An_interval_entirely_inside_an_outage_is_BadNoData_but_Interpolative_bridges_it()
|
||||
{
|
||||
// Window [10,15): raw is Bad throughout ⇒ no non-Bad time ⇒ BadNoData. Interpolative at +10 = 10 + 20·(10/15).
|
||||
Run(HistoryAggregateType.TimeAverage, 10, 15, 0, Outage).Single().StatusCode.ShouldBe(NoDataCalc);
|
||||
Run(HistoryAggregateType.TimeAverage2, 10, 15, 0, Outage).Single().StatusCode.ShouldBe(NoDataCalc);
|
||||
var i = Run(HistoryAggregateType.Interpolative, 10, 15, 0, Outage).Single();
|
||||
((double)i.Value!).ShouldBe(10d + 20d * 10d / 15d, 1e-9);
|
||||
i.StatusCode.ShouldBe(UncertainInterpolated);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Interpolative_on_a_segment_that_runs_into_an_outage_is_uncertain()
|
||||
{
|
||||
// +2 lies between the Good +0 and the Bad +5: bridged 10→30 over [0,15) ⇒ 10 + 20·(2/15); the simple-bounding
|
||||
// signal there is held into an outage, so the point is Uncertain even though both bridging ends are Good.
|
||||
var i = Run(HistoryAggregateType.Interpolative, 2, 20, 0, Outage).Single();
|
||||
((double)i.Value!).ShouldBe(10d + 20d * 2d / 15d, 1e-9);
|
||||
i.StatusCode.ShouldBe(UncertainInterpolated);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void The_latest_usable_bound_is_found_behind_a_bad_bound()
|
||||
{
|
||||
// -10 = 0 G, -5 Bad, +10 = 20 G, +30 = 20 G. Window [0,20) one bucket.
|
||||
// Bridged: -10..10 0→20 ⇒ [0,10) 10→20 (150); [10,20) 20 (200) ⇒ TimeAverage = 17.5.
|
||||
// Raw: [-5,10) Bad; [10,20) 20 Good (200) ⇒ TimeAverage2 = 20. Good 10 s of 20 ⇒ Uncertain.
|
||||
StoredSample[] s =
|
||||
[
|
||||
S(-10, HistorianValue.FromDouble(0), Good), S(-5, HistorianValue.Empty, BadNoCommunication),
|
||||
S(10, HistorianValue.FromDouble(20), Good), S(30, HistorianValue.FromDouble(20), Good),
|
||||
];
|
||||
((double)Run(HistoryAggregateType.TimeAverage, 0, 20, 0, s).Single().Value!).ShouldBe(17.5d);
|
||||
var ta2 = Run(HistoryAggregateType.TimeAverage2, 0, 20, 0, s).Single();
|
||||
((double)ta2.Value!).ShouldBe(20d);
|
||||
ta2.StatusCode.ShouldBe(UncertainCalc);
|
||||
var i = Run(HistoryAggregateType.Interpolative, 0, 20, 0, s).Single();
|
||||
((double)i.Value!).ShouldBe(10d); // inside the outage, bridged -10..10 at 0
|
||||
i.StatusCode.ShouldBe(UncertainInterpolated);
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------- stepped Boolean, Uncertain, invalid inputs
|
||||
|
||||
private static readonly StoredSample[] Switch =
|
||||
[
|
||||
S(0, HistorianValue.FromBoolean(true), Good),
|
||||
S(5, HistorianValue.FromBoolean(false), Good),
|
||||
S(15, HistorianValue.FromBoolean(true), Good),
|
||||
S(25, HistorianValue.FromBoolean(true), Good), // bound after the window
|
||||
];
|
||||
|
||||
[Fact]
|
||||
public void Booleans_are_stepped_not_sloped()
|
||||
{
|
||||
// Window [0,20), 10 s. B0: 1 over [0,5), 0 over [5,10) ⇒ 0.5 (sloped would give 0.375). B1: 0 over [10,15),
|
||||
// 1 over [15,20) ⇒ 0.5. All Good. Total: 5 and 5.
|
||||
var s = Run(HistoryAggregateType.TimeAverage, 0, 20, 10, Switch);
|
||||
Values(s, 0.5, 0.5);
|
||||
s.ShouldAllBe(x => x.StatusCode == GoodCalc);
|
||||
Values(Run(HistoryAggregateType.Total, 0, 20, 10, Switch), 5, 5);
|
||||
// Interpolative at +10: stepped from +5 (false) ⇒ 0, Good.
|
||||
var i = Run(HistoryAggregateType.Interpolative, 0, 20, 10, Switch);
|
||||
Values(i, 1, 0);
|
||||
i.Select(x => x.StatusCode).ShouldBe([GoodRaw, GoodInterpolated]);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void An_uncertain_sample_makes_its_segment_uncertain()
|
||||
{
|
||||
// 0 = 4 Uncertain, 10 = 6 Good, 20 = 6 Good: [0,10) sloped 4→6, quality Uncertain (worse end) ⇒ mean 5;
|
||||
// [10,20) 6 Good. Window [0,20), 10 s.
|
||||
StoredSample[] s =
|
||||
[
|
||||
S(0, HistorianValue.FromDouble(4), Uncertain), S(10, HistorianValue.FromDouble(6), Good),
|
||||
S(20, HistorianValue.FromDouble(6), Good),
|
||||
];
|
||||
var r = Run(HistoryAggregateType.TimeAverage2, 0, 20, 10, s);
|
||||
Values(r, 5, 6);
|
||||
r.Select(x => x.StatusCode).ShouldBe([UncertainCalc, GoodCalc]);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Int64_samples_are_sloped_like_doubles()
|
||||
{
|
||||
StoredSample[] s = [S(0, HistorianValue.FromInt64(0), Good), S(10, HistorianValue.FromInt64(10), Good)];
|
||||
Values(Run(HistoryAggregateType.TimeAverage2, 0, 10, 0, s), 5);
|
||||
}
|
||||
|
||||
[Theory]
|
||||
[InlineData(HistoryAggregateType.TimeAverage)]
|
||||
[InlineData(HistoryAggregateType.TimeAverage2)]
|
||||
[InlineData(HistoryAggregateType.Total)]
|
||||
[InlineData(HistoryAggregateType.Total2)]
|
||||
public void A_usable_string_sample_makes_the_interval_invalid_inputs(HistoryAggregateType agg)
|
||||
{
|
||||
StoredSample[] s = [S(0, HistorianValue.FromString("a"), Good), S(10, HistorianValue.FromString("b"), Good)];
|
||||
var r = Run(agg, 0, 20, 0, s).Single();
|
||||
r.StatusCode.ShouldBe(InvalidInputsCalc);
|
||||
r.Value.ShouldBeNull();
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Interpolative_on_a_string_is_invalid_inputs()
|
||||
{
|
||||
StoredSample[] s = [S(0, HistorianValue.FromString("a"), Good), S(10, HistorianValue.FromString("b"), Good)];
|
||||
Run(HistoryAggregateType.Interpolative, 0, 20, 10, s).ShouldAllBe(x => x.StatusCode == InvalidInputs);
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------- plan shape
|
||||
|
||||
[Fact]
|
||||
public void A_reverse_window_is_computed_forward_and_returned_descending()
|
||||
{
|
||||
var s = TimeWeightedAggregator.Evaluate(HistoryAggregateType.TimeAverage2,
|
||||
BucketPlan.Create(At(80), At(0), TimeSpan.FromSeconds(20)), A, Now);
|
||||
s.Select(x => x.SourceTimestampUtc).ShouldBe([At(60), At(40), At(20), At(0)]);
|
||||
Values(s, 50, 50, 45, 17.5);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void A_truncated_last_bucket_uses_its_own_duration_for_Total()
|
||||
{
|
||||
// Window [0,50), 20 s: B2 = [40,50) is 10 s of the extrapolated 50 ⇒ TimeAverage 50, Total 500.
|
||||
Values(Run(HistoryAggregateType.Total, 0, 50, 20, A), 400, 800, 500);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void A_duplicate_bound_is_ignored()
|
||||
{
|
||||
// The same row fetched as both "latest usable" and "latest any" bound.
|
||||
var dup = new[] { Bounded[0], Bounded[0], Bounded[1], Bounded[2], Bounded[2] };
|
||||
Values(Run(HistoryAggregateType.TimeAverage2, 0, 20, 10, dup), 15, 20);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void A_non_time_weighted_aggregate_is_refused()
|
||||
{
|
||||
Should.Throw<HistoryAggregateNotSupportedException>(() =>
|
||||
new TimeWeightedAggregator(HistoryAggregateType.Average, BucketPlan.Create(At(0), At(10), TimeSpan.Zero)));
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user