fix(historian): #684 review — Uncertain non-numeric samples do not refuse the Good-value aggregates; real-SQL Uncertain-above-max test
- Average/Minimum/Maximum/Range/*ActualTime refuse (BadAggregateInvalidInputs) only a GOOD String/DateTime sample (new GoodNonNumericCount / good_non_numeric_count column); an Uncertain one is skipped and makes the min/max family Uncertain, matching the SDK (Average skips it, ComputeMinMax flags the uncastable value). Delta keeps its usable-sample refusal. - ProcessedConformance: an Uncertain value above the Good maximum (pins UncMax/unc_max through the real SQL) and an Uncertain String through the real SQL. - The_uncertain_dataset_is_not_vacuous also proves the min/max STATUS discrimination. Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -1350,7 +1350,7 @@ historian tagname, which is the tag's driver `FullName`.
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### Pluggable backends, SQL Server and HistoryUpdate (2026-10)
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- **Selection:** `ServerHistorian:Backend` (`Gateway` default | `SqlServer` | `QuestDb`; unknown fails host start). `HistorianBackendRegistry` → `IHistorianBackendProvider` builds all five seams; the gateway keys are only required for `Gateway`. `SqlServer` uses `ServerHistorian:SqlServer:{ConnectionString (required), Schema=hist, CommandTimeout=30s, AutoCreateSchema=true}`.
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- **SQL Server** (`Driver.Historian.SqlServer`): `hist.Sample` PK `(TagId, SourceTimeUtc)` — writes are insert-if-absent, so outbox redelivery is idempotent. Stores every value kind with its **real status**; per-sample aggregates (10, simple definitions) are pushed down to T-SQL with bucket math in **100 ns ticks**; the Part 13 time-weighted seven (TimeAverage/TimeAverage2/Total/Total2/Interpolative, #671 — ⚠️ `Total` is now the time-weighted integral, no longer `SUM` — plus the **duration-based** PercentGood/PercentBad, #680) stream window + 4 bound rows into the shared `TimeWeightedAggregator` (both SQL backends, identical results; reverse `Interpolative` anchored at the later time; window capped by `ServerHistorian:MaxTimeWeightedRawRows` ⇒ `BadTooManyOperations`, percentages included). ⚠️ **#680 status rules (client-visible):** TimeAverage/Total are Uncertain if any part of the interval uses an Uncertain value, is bridged across a Bad sample, is extrapolated past the last sample (⇒ a live tag's latest interval is Uncertain) or is not covered; TimeAverage2/Total2 keep the SDK time-based rule (Uncertain time counts as Good) but never extrapolate past the last sample — that interval is Partial, later ones `BadNoData` (a report-by-exception tag with nothing after its last sample reads `BadNoData` until its next sample arrives). `docs/Historian.md` §"Time-weighted aggregates". ⚠️ **#680 per-sample (client-visible):** `Count` counts **Good** samples only (value-based status; an all-Bad interval is generic Bad, value null) and an empty interval **inside the tag's data range** is `0`/Good (outside it still `BadNoData`); `Start`/`End` return the **raw** first/last sample of any quality — its own timestamp and status, value null when Bad; `Delta` is Uncertain only when the interval's first or last sample is unusable; ⚠️ #684: `Average`/`Minimum`/`Maximum`/`Range`/`*ActualTime` use **Good samples only** (was Good + Uncertain; an Uncertain-only interval is `BadNoData`), Min/Max-family status Uncertain on a Bad sample or an Uncertain value beyond the Good extreme (Part 13 — the SDK ignores the latter); and every per-sample aggregate but `Average` sets **end-of-data Partial** on the interval holding the last sample (forward incl. its earlier edge, reverse strictly inside), never on a Bad result. The data-range lookup is a seek on SQL Server but a partition scan on QuestDB (unindexed `tag` SYMBOL). `docs/Historian.md` §"Aggregates". Docker-dev recipe, schema and aggregate semantics: `docs/Historian.md` §"SQL Server backend". Integration tests need `HISTORIAN_SQL_TEST_CONNECTION`. **Retention (#667):** opt-in `SqlServer:RetentionDays` (+ `PurgeInterval` 1h, `PurgeBatchSize` 4000) -> `HistorianRetentionService` purges old `hist.Sample` (per tag) / `hist.Event` in `DELETE TOP(n)` batches, Primary-gated on `IHistorizationRoleView`, one purger per DB via `sp_getapplock`; counter `otopcua.historian.retention.purged{table}`. Optional `IHistorianBackendProvider.CreateRetention` (default null). `docs/Historian.md` §Retention.
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- **SQL Server** (`Driver.Historian.SqlServer`): `hist.Sample` PK `(TagId, SourceTimeUtc)` — writes are insert-if-absent, so outbox redelivery is idempotent. Stores every value kind with its **real status**; per-sample aggregates (10, simple definitions) are pushed down to T-SQL with bucket math in **100 ns ticks**; the Part 13 time-weighted seven (TimeAverage/TimeAverage2/Total/Total2/Interpolative, #671 — ⚠️ `Total` is now the time-weighted integral, no longer `SUM` — plus the **duration-based** PercentGood/PercentBad, #680) stream window + 4 bound rows into the shared `TimeWeightedAggregator` (both SQL backends, identical results; reverse `Interpolative` anchored at the later time; window capped by `ServerHistorian:MaxTimeWeightedRawRows` ⇒ `BadTooManyOperations`, percentages included). ⚠️ **#680 status rules (client-visible):** TimeAverage/Total are Uncertain if any part of the interval uses an Uncertain value, is bridged across a Bad sample, is extrapolated past the last sample (⇒ a live tag's latest interval is Uncertain) or is not covered; TimeAverage2/Total2 keep the SDK time-based rule (Uncertain time counts as Good) but never extrapolate past the last sample — that interval is Partial, later ones `BadNoData` (a report-by-exception tag with nothing after its last sample reads `BadNoData` until its next sample arrives). `docs/Historian.md` §"Time-weighted aggregates". ⚠️ **#680 per-sample (client-visible):** `Count` counts **Good** samples only (value-based status; an all-Bad interval is generic Bad, value null) and an empty interval **inside the tag's data range** is `0`/Good (outside it still `BadNoData`); `Start`/`End` return the **raw** first/last sample of any quality — its own timestamp and status, value null when Bad; `Delta` is Uncertain only when the interval's first or last sample is unusable; ⚠️ #684: `Average`/`Minimum`/`Maximum`/`Range`/`*ActualTime` use **Good samples only** (was Good + Uncertain; an Uncertain-only interval is `BadNoData`), Min/Max-family status Uncertain on a Bad sample, an Uncertain value beyond the Good extreme (Part 13 — the SDK ignores that) or an Uncertain non-numeric sample, and only a **Good** String/DateTime sample refuses them (`BadAggregateInvalidInputs`; Delta still refuses any usable one); and every per-sample aggregate but `Average` sets **end-of-data Partial** on the interval holding the last sample (forward incl. its earlier edge, reverse strictly inside), never on a Bad result. The data-range lookup is a seek on SQL Server but a partition scan on QuestDB (unindexed `tag` SYMBOL). `docs/Historian.md` §"Aggregates". Docker-dev recipe, schema and aggregate semantics: `docs/Historian.md` §"SQL Server backend". Integration tests need `HISTORIAN_SQL_TEST_CONNECTION`. **Retention (#667):** opt-in `SqlServer:RetentionDays` (+ `PurgeInterval` 1h, `PurgeBatchSize` 4000) -> `HistorianRetentionService` purges old `hist.Sample` (per tag) / `hist.Event` in `DELETE TOP(n)` batches, Primary-gated on `IHistorizationRoleView`, one purger per DB via `sp_getapplock`; counter `otopcua.historian.retention.purged{table}`. Optional `IHistorianBackendProvider.CreateRetention` (default null). `docs/Historian.md` §Retention.
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- **QuestDB** (`Driver.Historian.QuestDb`, `ServerHistorian:QuestDb:*`, Npgsql over PG wire; docker-dev overlay `docker-compose.questdb.yml`): same kinds/status/aggregates/HistoryUpdate as SqlServer, soft delete by tombstone (INSERT only — never `UPDATE`/`DELETE`; every read filters `NOT deleted`). ⚠️ **Timestamps are µs** (`QuestDbConnection.Round`/`BindTimestamp`; `IHistorianDataSource.TimestampResolutionTicks` = 10 steps HistoryRead paging), **pre-1970 cannot be stored** (writer drops, HistoryUpdate `BadOutOfRange`), every write waits for WAL visibility, TTL is enforced on write commits only, set Npgsql `Maximum Pool Size` < QuestDB's 64. `docs/Historian.md` §"QuestDB backend".
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- ⚠️ **Reverse processed reads are Part 13/SDK-anchored (#677, client-visible):** every aggregate on SqlServer/QuestDB now anchors a reverse read at its later time — window `(end, start]`, partial interval earliest, each stamped with its later edge (was: earlier-anchored, stamped earlier edge); on forward reads Partial also marks the interval the data starts inside (not Average — the SDK's rule, forward-only); a non-default client `AggregateConfiguration` ⇒ `BadAggregateConfigurationRejected`; Gateway provisioning sends `IntegralDivisor = 1`. SDK-parity tests: `SdkAggregateParityTests`. `docs/Historian.md` §Aggregates.
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- **Advertised aggregates (#682):** `IHistorianDataSource.SupportedAggregates` (Gateway 4 via `GatewayHistorianDataSource.ServedAggregates`, SqlServer/QuestDB 17 via `AggregateFamilies.Served`, Null **none**; a null set ⇒ all) is the one authority for `HistoryServerCapabilities/AggregateFunctions` (i=11201 — only its folder references are trimmed) and the up-front `BadAggregateNotSupported` in HistoryRead-Processed. ⚠️ `ServerCapabilities/AggregateFunctions` (i=2997) is deliberately NOT trimmed: it keeps the SDK's 37 because live `AggregateFilter` subscriptions still compute them all. ⚠️ Historian disabled ⇒ Processed is now `BadAggregateNotSupported`, not `GoodNoData`. `docs/Historian.md` §Advertised aggregates.
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+5
-1
@@ -1013,6 +1013,10 @@ point (see [Continuation-point paging (Events)](#continuation-point-paging-event
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> - The SDK applies only the Bad half of that rule (its `ComputeMinMax` collects the Uncertain extremes and never reads them) and answers
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> Good for an Uncertain value beyond the extreme; ours follows Part 13 there — the one remaining per-sample Uncertain difference, pinned
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> by `SdkAggregateParityTests`.
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> - **Non-numeric samples:** these aggregates now answer `BadAggregateInvalidInputs` only for a **Good** `String`/`DateTime` sample
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> in the interval. An **Uncertain** one is skipped like any Uncertain value — the interval is served from its Good numeric values
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> with `UncertainDataSubNormal` (the SDK's Average skips it; its Min/Max flags the value it cannot cast). `Delta` reads usable
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> samples and still refuses any usable non-numeric one.
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> - `Count` (Good only, #680), `Start`/`End`/`Delta` (usable / any-quality picks) and the time-weighted family (Uncertain time counts as
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> Good time under `TreatUncertainAsBad = false`, as Part 13 §5.4.3.2 says) are unchanged. The advertised `TreatUncertainAsBad = false`
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> stays correct: it governs the time-weighted and status calculations; the per-sample aggregates above are defined over Good values
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@@ -1075,7 +1079,7 @@ Status and edge rules:
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- An **empty interval** (no samples) ⇒ `BadNoData` — except **`Count`**, which is `0`, Good, when the interval lies inside the tag's data range `[first sample, last sample]` (both edges inclusive, either direction; #680). **Every value aggregate over an interval whose samples are all Bad ⇒ `BadNoData`**; `Count` there is the generic **Bad** (value null).
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- An interval with samples but **no Good numeric value** (only Uncertain / Bad) ⇒ `BadNoData` for `Average`/`Minimum`/`Maximum`/`Range`/`*ActualTime` (#684).
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- `Average` is `Good` when every sample in the bucket is Good, else `UncertainDataSubNormal` (value-based, the SDK's rule). `Minimum`/`Maximum`/`Range`/`*ActualTime` are `UncertainDataSubNormal` when the bucket holds a Bad sample or an Uncertain value beyond the reported Good extreme (Part 13 Tables 57–62; strictly beyond), else `Good` (#684). `Count`'s status is value-based (all Good ⇒ Good, all Bad ⇒ Bad, else Uncertain); `Start`/`End` carry the raw sample's own status; `Delta` is Good unless the interval's first or last sample is not usable (then Uncertain) — #680.
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- `Count`, `Start`, `End` accept any value kind; the other aggregates (and `Delta`) on a bucket that holds a usable `String`/`DateTime` sample ⇒ `BadAggregateInvalidInputs` for that interval.
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- `Count`, `Start`, `End` accept any value kind. `Average`/`Minimum`/`Maximum`/`Range`/`*ActualTime` on a bucket that holds a **Good** `String`/`DateTime` sample ⇒ `BadAggregateInvalidInputs` for that interval; an Uncertain one is skipped and makes `Minimum`/`Maximum`/`Range`/`*ActualTime` `UncertainDataSubNormal` (#684). `Delta` is refused by any usable non-numeric sample.
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- `PercentGood` / `PercentBad` are **duration-based since #680** — see [Time-weighted aggregates](#time-weighted-aggregates-part-13-671).
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- Everything except `Count` and `Start`/`End` is a `double`; `Int64` samples aggregate as doubles and `Boolean` as 0/1.
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@@ -60,7 +60,7 @@ internal static class QuestDbAggregateQueries
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/// Average / Minimum / Maximum / Count / Range (PercentGood / PercentBad and Total are time-weighted, not here).
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/// Family columns: <c>6 avg_value, 7 min_value, 8 max_value, 9 sum_value</c> over the <b>Good</b> numeric samples
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/// (DOUBLE, NULL when none — #684, Part 13 / the SDK), then <c>10 unc_min, 11 unc_max</c> over the Uncertain ones (the
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/// Part 13 Minimum/Maximum/Range status rule).
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/// Part 13 Minimum/Maximum/Range status rule) and <c>12 good_non_numeric_count</c>.
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/// </summary>
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/// <param name="sample">Prefixed sample table name.</param>
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/// <returns>The SQL text.</returns>
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@@ -131,7 +131,7 @@ internal static class QuestDbAggregateQueries
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/// <summary>
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/// MinimumActualTime / MaximumActualTime: the <b>Good</b> sample (#684) with the smallest (largest) <c>num_value</c>,
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/// ties broken by the earliest <c>ts</c>. Family columns: <c>6 num_value, 7 ts</c> (NULL when the bucket has no Good
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/// numeric sample), then <c>8 unc_min, 9 unc_max</c> as in <see cref="Simple"/>.
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/// numeric sample), then <c>8 unc_min, 9 unc_max, 10 good_non_numeric_count</c> as in <see cref="Simple"/>.
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/// </summary>
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/// <remarks>
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/// Deliberately still two references to the classified rows (counts + the ranked extreme), unlike
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@@ -151,7 +151,7 @@ internal static class QuestDbAggregateQueries
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"row_number() OVER (PARTITION BY b ORDER BY num_value " + (maximum ? "DESC" : "ASC") + ", ts ASC) AS rn " +
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"FROM s WHERE g = 1 AND num_value IS NOT NULL) " +
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"SELECT st.b, st.total_count, st.usable_count, st.good_count, st.bad_count, st.non_numeric_count, " +
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"r.num_value, r.ts, st.unc_min, st.unc_max " +
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"r.num_value, r.ts, st.unc_min, st.unc_max, st.good_non_numeric_count " +
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"FROM st LEFT JOIN (SELECT * FROM r WHERE rn = 1) r ON r.b = st.b ORDER BY st.b";
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/// <summary>
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@@ -224,9 +224,11 @@ internal static class QuestDbAggregateQueries
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/// <summary>
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/// The minimum and maximum <b>Uncertain</b> (usable, not Good) numeric value of the bucket — <c>unc_min, unc_max</c>
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/// (#684). Not result values: Part 13 makes Minimum/Maximum/Range Uncertain when one lies beyond the Good extreme.
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/// Then <c>good_non_numeric_count</c>, the Good String/DateTime samples (the Good-value aggregates' refusal check).
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/// </summary>
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private static string UncertainExtremes() =>
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"min(CASE WHEN u = 1 AND g = 0 THEN num_value END) AS unc_min, max(CASE WHEN u = 1 AND g = 0 THEN num_value END) AS unc_max";
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"min(CASE WHEN u = 1 AND g = 0 THEN num_value END) AS unc_min, max(CASE WHEN u = 1 AND g = 0 THEN num_value END) AS unc_max, " +
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$"sum(CASE WHEN g = 1 AND kind IN ({NonNumericKinds}) THEN 1 ELSE 0 END) AS good_non_numeric_count";
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/// <summary>The five common count columns (after <c>b</c>).</summary>
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private static string CommonCounts() =>
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@@ -619,6 +619,7 @@ public sealed class QuestDbHistorianDataSource : IHistorianDataSource
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row.Sum = D(reader, f + 3);
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row.UncertainMin = D(reader, f + 4);
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row.UncertainMax = D(reader, f + 5);
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row.GoodNonNumeric = N(reader, f + 6);
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break;
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case AggregateFamily.StartEnd:
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row.First = V(reader, f);
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@@ -631,6 +632,7 @@ public sealed class QuestDbHistorianDataSource : IHistorianDataSource
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row.ExtremeTime = reader.IsDBNull(f + 1) ? null : QuestDbConnection.ReadUtc(reader, f + 1);
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row.UncertainMin = D(reader, f + 2);
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row.UncertainMax = D(reader, f + 3);
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row.GoodNonNumeric = N(reader, f + 4);
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break;
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}
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return row;
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@@ -74,7 +74,11 @@ public static class AggregateEvaluator
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return Calc(r.Good, r.Good == r.Total ? HistorianStatusCodes.Good : HistorianStatusCodes.UncertainDataSubNormal);
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}
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if (r.Usable == 0) return NoData(bucketStart, now);
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if (r.NonNumeric > 0) return Calc(null, HistorianStatusCodes.BadAggregateInvalidInputs);
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// #684 review: Delta reads usable picks, so any usable String/DateTime sample refuses it. The Good-value aggregates
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// refuse only a GOOD non-numeric sample — an Uncertain one is not part of their value set (it only degrades the
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// status, as the SDK's skipped/uncastable value does).
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if ((aggregate == HistoryAggregateType.Delta ? r.NonNumeric : r.GoodNonNumericOrAll) > 0)
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return Calc(null, HistorianStatusCodes.BadAggregateInvalidInputs);
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switch (aggregate)
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{
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@@ -122,7 +126,8 @@ public static class AggregateEvaluator
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/// #684 — the Part 13 status of Minimum / Maximum / Range / *ActualTime (Tables 57–62): <c>Uncertain_DataSubNormal</c>
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/// when a Bad sample exists in the interval, or when an Uncertain value is less than the minimum Good value
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/// (<paramref name="low"/>) / greater than the maximum Good value (<paramref name="high"/>); else Good. An Uncertain
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/// value inside the Good range leaves it Good.
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/// value inside the Good range leaves it Good. An Uncertain String/DateTime sample (no order against the Good values)
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/// also makes it Uncertain — the SDK's <c>ComputeMinMax</c> flags a value it cannot cast exactly that way.
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/// </summary>
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/// <remarks>
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/// The SDK's <c>ComputeMinMax</c> (1.5.378) applies only the Bad half: it collects the Uncertain extremes and never
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@@ -131,7 +136,8 @@ public static class AggregateEvaluator
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/// Uncertain value EQUAL to the Good extreme does not degrade it.
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/// </remarks>
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private static uint MinMaxStatus(BucketRow r, double? goodMin, double? goodMax, bool low, bool high) =>
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r.Bad > 0 || (low && r.UncertainMin < goodMin) || (high && r.UncertainMax > goodMax)
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r.Bad > 0 || r.NonNumeric > r.GoodNonNumericOrAll
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|| (low && r.UncertainMin < goodMin) || (high && r.UncertainMax > goodMax)
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? HistorianStatusCodes.UncertainDataSubNormal
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: HistorianStatusCodes.Good;
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@@ -32,9 +32,20 @@ public sealed class BucketRow
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/// <summary>Bad (not usable) samples.</summary>
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public int Bad { get; set; }
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/// <summary>Usable String / DateTime samples.</summary>
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/// <summary>Usable String / DateTime samples (Delta's refusal check).</summary>
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public int NonNumeric { get; set; }
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/// <summary>
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/// <b>Good</b> String / DateTime samples — the refusal check of the Good-value aggregates (Average / Minimum / Maximum /
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/// Range / *ActualTime, #684 review): an Uncertain non-numeric sample is not part of their value set. Filled by the
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/// Simple and ActualTime queries; null (a row that does not carry it) falls back to <see cref="NonNumeric"/>, the
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/// pre-#684 (stricter) check.
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/// </summary>
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public int? GoodNonNumeric { get; set; }
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/// <summary><see cref="GoodNonNumeric"/>, or <see cref="NonNumeric"/> when the row does not carry it.</summary>
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internal int GoodNonNumericOrAll => GoodNonNumeric ?? NonNumeric;
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/// <summary>Average of the Good numeric values (null when none — #684).</summary>
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public double? Avg { get; set; }
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@@ -50,7 +50,8 @@ internal static class SqlAggregateQueries
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/// Average / Minimum / Maximum / Count / Range (PercentGood / PercentBad and Total are time-weighted, not here).
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/// Family columns: <c>6 AvgValue, 7 MinValue, 8 MaxValue, 9 SumValue</c> over the <b>Good</b> numeric samples (float,
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/// NULL when none — #684: Part 13 and the SDK compute these over Good values only), then <c>10 UncMin, 11 UncMax</c>
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/// over the Uncertain ones (the Part 13 Minimum/Maximum/Range status rule, <see cref="AggregateEvaluator"/>).
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/// over the Uncertain ones (the Part 13 Minimum/Maximum/Range status rule, <see cref="AggregateEvaluator"/>), and
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/// <c>12 GoodNonNumericCount</c>.
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/// </summary>
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/// <param name="sample">Schema-qualified <c>Sample</c> table name.</param>
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/// <returns>The SQL text.</returns>
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@@ -112,7 +113,7 @@ internal static class SqlAggregateQueries
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/// <summary>
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/// MinimumActualTime / MaximumActualTime: the <b>Good</b> sample (#684) with the smallest (largest) <c>NumValue</c>,
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/// ties broken by the earliest <c>SourceTimeUtc</c>. Family columns: <c>6 NumValue, 7 SourceTimeUtc</c>
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/// (NULL when the bucket has no Good numeric sample), then <c>8 UncMin, 9 UncMax</c> as in <see cref="Simple"/>.
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/// (NULL when the bucket has no Good numeric sample), then <c>8 UncMin, 9 UncMax, 10 GoodNonNumericCount</c> as in <see cref="Simple"/>.
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/// </summary>
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/// <remarks>
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/// Deliberately still two references to <c>s</c> (counts + the ranked extreme), unlike <see cref="StartEnd"/>:
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@@ -132,7 +133,7 @@ internal static class SqlAggregateQueries
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"ROW_NUMBER() OVER (PARTITION BY b ORDER BY NumValue " + (maximum ? "DESC" : "ASC") + ", SourceTimeUtc ASC) AS rn " +
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"FROM s WHERE g = 1 AND NumValue IS NOT NULL) " +
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"SELECT st.b, st.TotalCount, st.UsableCount, st.GoodCount, st.BadCount, st.NonNumericCount, " +
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"r.NumValue, r.SourceTimeUtc, st.UncMin, st.UncMax " +
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"r.NumValue, r.SourceTimeUtc, st.UncMin, st.UncMax, st.GoodNonNumericCount " +
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"FROM st LEFT JOIN r ON r.b = st.b AND r.rn = 1 ORDER BY st.b;";
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/// <summary>
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@@ -194,9 +195,11 @@ internal static class SqlAggregateQueries
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/// <summary>
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/// The minimum and maximum <b>Uncertain</b> (usable, not Good) numeric value of the bucket — <c>UncMin, UncMax</c>
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/// (#684). Not result values: Part 13 makes Minimum/Maximum/Range Uncertain when one lies beyond the Good extreme.
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/// Then <c>GoodNonNumericCount</c>, the Good String/DateTime samples (the Good-value aggregates' refusal check).
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/// </summary>
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private static string UncertainExtremes() =>
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"MIN(CASE WHEN u = 1 AND g = 0 THEN NumValue END) AS UncMin, MAX(CASE WHEN u = 1 AND g = 0 THEN NumValue END) AS UncMax";
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"MIN(CASE WHEN u = 1 AND g = 0 THEN NumValue END) AS UncMin, MAX(CASE WHEN u = 1 AND g = 0 THEN NumValue END) AS UncMax, " +
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$"SUM(CASE WHEN g = 1 AND ValueKind IN ({NonNumericKinds}) THEN 1 ELSE 0 END) AS GoodNonNumericCount";
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/// <summary>The five common count columns (after <c>b</c>).</summary>
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private static string CommonCounts() =>
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||||
+2
@@ -566,6 +566,7 @@ public sealed class SqlServerHistorianDataSource : IHistorianDataSource
|
||||
row.Sum = D(reader, f + 3);
|
||||
row.UncertainMin = D(reader, f + 4);
|
||||
row.UncertainMax = D(reader, f + 5);
|
||||
row.GoodNonNumeric = reader.IsDBNull(f + 6) ? 0 : reader.GetInt32(f + 6);
|
||||
break;
|
||||
case AggregateFamily.StartEnd:
|
||||
row.First = V(reader, f);
|
||||
@@ -578,6 +579,7 @@ public sealed class SqlServerHistorianDataSource : IHistorianDataSource
|
||||
row.ExtremeTime = reader.IsDBNull(f + 1) ? null : SqlHistorianConnection.GetUtc(reader, f + 1);
|
||||
row.UncertainMin = D(reader, f + 2);
|
||||
row.UncertainMax = D(reader, f + 3);
|
||||
row.GoodNonNumeric = reader.IsDBNull(f + 4) ? 0 : reader.GetInt32(f + 4);
|
||||
break;
|
||||
}
|
||||
return row;
|
||||
|
||||
@@ -554,6 +554,78 @@ public abstract class ProcessedConformance : ConformanceBase
|
||||
(await One(HistoryAggregateType.Count)).Value.ShouldBe(2);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public async Task An_uncertain_value_above_the_good_maximum_makes_the_maximum_family_uncertain()
|
||||
{
|
||||
// #684 review: pins the Uncertain-MAXIMUM column (UncMax / unc_max) through the real SQL — Good 6 @+2, Good 8 @+3,
|
||||
// Uncertain 9 @+4 (above the Good maximum, nothing below the minimum). Part 13 Tables 58/60/62 ⇒ Maximum,
|
||||
// MaximumActualTime and Range Uncertain (values still from the Good samples); Minimum Good.
|
||||
await B.SeedAsync("UA",
|
||||
(At(-5), HistorianValue.FromDouble(7), Good),
|
||||
(At(2), HistorianValue.FromDouble(6), Good),
|
||||
(At(3), HistorianValue.FromDouble(8), Good),
|
||||
(At(4), HistorianValue.FromDouble(9), Uncertain),
|
||||
(At(30), HistorianValue.FromDouble(7), Good));
|
||||
var src = B.CreateDataSource();
|
||||
async Task<DataValueSnapshot> One(HistoryAggregateType a) =>
|
||||
(await src.ReadProcessedAsync("UA", At(0), At(20), Twenty, a, Ct)).Samples.Single();
|
||||
|
||||
var max = await One(HistoryAggregateType.Maximum);
|
||||
max.Value.ShouldBe(8d);
|
||||
max.StatusCode.ShouldBe(UncertainCalc);
|
||||
var maxAt = await One(HistoryAggregateType.MaximumActualTime);
|
||||
maxAt.Value.ShouldBe(8d);
|
||||
maxAt.SourceTimestampUtc.ShouldBe(B.Round(At(3)));
|
||||
maxAt.StatusCode.ShouldBe(UncertainCalc);
|
||||
var range = await One(HistoryAggregateType.Range);
|
||||
range.Value.ShouldBe(2d);
|
||||
range.StatusCode.ShouldBe(UncertainCalc);
|
||||
var min = await One(HistoryAggregateType.Minimum);
|
||||
min.Value.ShouldBe(6d);
|
||||
min.StatusCode.ShouldBe(GoodCalc);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public async Task An_uncertain_string_sample_does_not_refuse_the_good_value_aggregates()
|
||||
{
|
||||
// #684 review: the Good-value aggregates refuse only a GOOD String/DateTime sample (the good-non-numeric count the
|
||||
// SQL now returns); an Uncertain one is skipped with an Uncertain status — the SDK's behaviour. Delta keeps its
|
||||
// usable-sample refusal.
|
||||
await B.SeedAsync("US",
|
||||
(At(-5), HistorianValue.FromDouble(7), Good),
|
||||
(At(2), HistorianValue.FromDouble(6), Good),
|
||||
(At(3), HistorianValue.FromString("x"), Uncertain),
|
||||
(At(4), HistorianValue.FromDouble(8), Good),
|
||||
(At(30), HistorianValue.FromDouble(7), Good));
|
||||
var src = B.CreateDataSource();
|
||||
async Task<DataValueSnapshot> One(HistoryAggregateType a) =>
|
||||
(await src.ReadProcessedAsync("US", At(0), At(20), Twenty, a, Ct)).Samples.Single();
|
||||
|
||||
foreach (var (agg, value) in new[]
|
||||
{
|
||||
(HistoryAggregateType.Average, 7d), (HistoryAggregateType.Minimum, 6d), (HistoryAggregateType.Maximum, 8d),
|
||||
(HistoryAggregateType.Range, 2d), (HistoryAggregateType.MinimumActualTime, 6d),
|
||||
(HistoryAggregateType.MaximumActualTime, 8d),
|
||||
})
|
||||
{
|
||||
var v = await One(agg);
|
||||
v.Value.ShouldBe(value, agg.ToString());
|
||||
v.StatusCode.ShouldBe(UncertainCalc, agg.ToString());
|
||||
}
|
||||
(await One(HistoryAggregateType.Delta)).StatusCode.ShouldBe(InvalidInputsCalc);
|
||||
|
||||
// A GOOD string in the same shape still refuses them.
|
||||
await B.SeedAsync("GS",
|
||||
(At(-5), HistorianValue.FromDouble(7), Good),
|
||||
(At(2), HistorianValue.FromDouble(6), Good),
|
||||
(At(3), HistorianValue.FromString("x"), Good),
|
||||
(At(30), HistorianValue.FromDouble(7), Good));
|
||||
(await src.ReadProcessedAsync("GS", At(0), At(20), Twenty, HistoryAggregateType.Maximum, Ct)).Samples.Single()
|
||||
.StatusCode.ShouldBe(InvalidInputsCalc);
|
||||
(await src.ReadProcessedAsync("GS", At(0), At(20), Twenty, HistoryAggregateType.MinimumActualTime, Ct)).Samples
|
||||
.Single().StatusCode.ShouldBe(InvalidInputsCalc);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public async Task An_interval_of_only_uncertain_samples_is_BadNoData_for_the_good_value_aggregates()
|
||||
{
|
||||
|
||||
+12
-5
@@ -109,7 +109,8 @@ public sealed class BucketRowMappingTests
|
||||
t.Columns.Add("ts", typeof(DateTime));
|
||||
t.Columns.Add("unc_min", typeof(double));
|
||||
t.Columns.Add("unc_max", typeof(double));
|
||||
t.Rows.Add(0L, 1L, 1L, 1L, 0L, 0L, DBNull.Value, DBNull.Value, 4d, DBNull.Value);
|
||||
t.Columns.Add("goodnonnum", typeof(long));
|
||||
t.Rows.Add(0L, 1L, 1L, 1L, 0L, 0L, DBNull.Value, DBNull.Value, 4d, DBNull.Value, 0L);
|
||||
|
||||
var b = Map(t, AggregateFamily.ActualTime);
|
||||
b.Extreme.ShouldBeNull();
|
||||
@@ -125,7 +126,8 @@ public sealed class BucketRowMappingTests
|
||||
t.Columns.Add("b", typeof(long));
|
||||
foreach (var c in new[] { "total", "usable", "good", "bad", "nonnum" }) t.Columns.Add(c, typeof(long));
|
||||
foreach (var c in new[] { "avg", "min", "max", "sum", "uncmin", "uncmax" }) t.Columns.Add(c, typeof(double));
|
||||
t.Rows.Add(0L, 3L, 3L, 2L, 0L, 0L, 20d, 10d, 30d, 40d, 5d, 25d);
|
||||
t.Columns.Add("goodnonnum", typeof(long));
|
||||
t.Rows.Add(0L, 4L, 4L, 2L, 0L, 1L, 20d, 10d, 30d, 40d, 5d, 25d, 0L);
|
||||
|
||||
var b = Map(t, AggregateFamily.Simple);
|
||||
b.Avg.ShouldBe(20d);
|
||||
@@ -134,9 +136,13 @@ public sealed class BucketRowMappingTests
|
||||
b.Sum.ShouldBe(40d);
|
||||
b.UncertainMin.ShouldBe(5d);
|
||||
b.UncertainMax.ShouldBe(25d);
|
||||
// Uncertain 5 is below the Good minimum ⇒ Minimum Uncertain; 25 is inside the Good range ⇒ Maximum Good.
|
||||
b.NonNumeric.ShouldBe(1);
|
||||
b.GoodNonNumeric.ShouldBe(0);
|
||||
// Uncertain 5 is below the Good minimum ⇒ Minimum Uncertain. The one non-numeric sample is Uncertain (ordinal 12 says
|
||||
// no Good one), so Average is served — not refused — and Maximum is Uncertain for it (25 alone is inside the range).
|
||||
AggregateEvaluator.Evaluate(HistoryAggregateType.Minimum, b, T, T).StatusCode.ShouldBe(0x40A40401u);
|
||||
AggregateEvaluator.Evaluate(HistoryAggregateType.Maximum, b, T, T).StatusCode.ShouldBe(0x00000401u);
|
||||
AggregateEvaluator.Evaluate(HistoryAggregateType.Average, b, T, T).Value.ShouldBe(20d);
|
||||
AggregateEvaluator.Evaluate(HistoryAggregateType.Maximum, b, T, T).StatusCode.ShouldBe(0x40A40401u);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
@@ -149,7 +155,8 @@ public sealed class BucketRowMappingTests
|
||||
t.Columns.Add("ts", typeof(DateTime));
|
||||
t.Columns.Add("unc_min", typeof(double));
|
||||
t.Columns.Add("unc_max", typeof(double));
|
||||
t.Rows.Add(0L, 3L, 3L, 2L, 0L, 0L, 10d, T, 5d, 25d);
|
||||
t.Columns.Add("goodnonnum", typeof(long));
|
||||
t.Rows.Add(0L, 3L, 3L, 2L, 0L, 0L, 10d, T, 5d, 25d, 0L);
|
||||
|
||||
var b = Map(t, AggregateFamily.ActualTime);
|
||||
b.Extreme.ShouldBe(10d);
|
||||
|
||||
+40
@@ -305,6 +305,46 @@ public sealed class AggregateEvaluatorTests
|
||||
v.StatusCode.ShouldBe(good ? GoodCalc : UncertainCalc);
|
||||
}
|
||||
|
||||
[Theory]
|
||||
[InlineData(HistoryAggregateType.Average)]
|
||||
[InlineData(HistoryAggregateType.Minimum)]
|
||||
[InlineData(HistoryAggregateType.Maximum)]
|
||||
[InlineData(HistoryAggregateType.Range)]
|
||||
[InlineData(HistoryAggregateType.MinimumActualTime)]
|
||||
[InlineData(HistoryAggregateType.MaximumActualTime)]
|
||||
public void Only_a_good_non_numeric_sample_refuses_a_good_value_aggregate(HistoryAggregateType agg)
|
||||
{
|
||||
// #684 review: an UNCERTAIN String/DateTime sample is outside the Good-value set — served (Uncertain), not refused.
|
||||
var uncertainString = GoodTenThirtyPlusUncertain();
|
||||
uncertainString.Total = uncertainString.Usable = 3;
|
||||
uncertainString.NonNumeric = 1;
|
||||
uncertainString.GoodNonNumeric = 0;
|
||||
var v = Eval(agg, uncertainString);
|
||||
v.Value.ShouldNotBeNull();
|
||||
v.StatusCode.ShouldBe(UncertainCalc);
|
||||
// A GOOD one still refuses the interval (the value set would hold a value with no numeric meaning).
|
||||
var goodString = GoodTenThirtyPlusUncertain();
|
||||
goodString.Total = goodString.Usable = goodString.Good = 3;
|
||||
goodString.NonNumeric = 1;
|
||||
goodString.GoodNonNumeric = 1;
|
||||
Eval(agg, goodString).StatusCode.ShouldBe(InvalidInputsCalc);
|
||||
// A row that does not carry the Good count (null) keeps the stricter pre-#684 check: any usable one refuses.
|
||||
uncertainString.GoodNonNumeric = null;
|
||||
Eval(agg, uncertainString).StatusCode.ShouldBe(InvalidInputsCalc);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Delta_still_refuses_any_usable_non_numeric_sample()
|
||||
{
|
||||
// Delta reads the first/last USABLE samples (#680), so an Uncertain String can be its input: unchanged by #684.
|
||||
var row = new BucketRow
|
||||
{
|
||||
Total = 2, Usable = 2, Good = 1, NonNumeric = 1, GoodNonNumeric = 0,
|
||||
First = HistorianValue.FromString("x"), Last = HistorianValue.FromDouble(1), FirstAny = A[0], LastAny = A[1],
|
||||
};
|
||||
AggregateEvaluator.Evaluate(HistoryAggregateType.Delta, row, At(0), Now).StatusCode.ShouldBe(InvalidInputsCalc);
|
||||
}
|
||||
|
||||
[Theory]
|
||||
[InlineData(HistoryAggregateType.Minimum)]
|
||||
[InlineData(HistoryAggregateType.Maximum)]
|
||||
|
||||
+60
-3
@@ -341,10 +341,23 @@ public sealed class SdkAggregateParityTests
|
||||
[MemberData(nameof(Windows))]
|
||||
public void The_uncertain_dataset_is_not_vacuous(double from, double to, double intervalS)
|
||||
{
|
||||
// #684: DenseUncertain must actually move the per-sample values the pre-#684 (Good + Uncertain) columns computed —
|
||||
// otherwise its parity proves nothing. Average over the usable samples differs from the SDK's in some interval of
|
||||
// every window.
|
||||
// #684: DenseUncertain must discriminate the pre-#684 behaviour in every window, or its parity proves nothing.
|
||||
// (1) VALUES: Average over the usable (Good + Uncertain) samples differs from the SDK's Good-only Average in some
|
||||
// interval. (2) STATUS: Minimum / Maximum hold an Uncertain sample in some interval the SDK still calls Good (16 sits
|
||||
// inside the Good range) — the pre-#684 "any non-Good sample ⇒ Uncertain" rule would answer Uncertain there.
|
||||
// (Minimum / Maximum VALUES do not discriminate here: an in-range 16 never is the extreme — by design, so the
|
||||
// min/max family needs no mask; the value half is pinned by UncertainBeyond and AggregateEvaluatorTests.)
|
||||
var plan = BucketPlan.Create(At(from), At(to), TimeSpan.FromSeconds(intervalS));
|
||||
// The one-interval windows hold the Bad +22.5 sample, so the SDK is Uncertain there for a reason the old rule shares:
|
||||
// the status half is checked on the multi-interval windows only (the value half below covers every window).
|
||||
foreach (var agg in plan.BucketCount > 1 ? new[] { HistoryAggregateType.Minimum, HistoryAggregateType.Maximum } : [])
|
||||
{
|
||||
var sdkMinMax = Sdk(agg, from, to, intervalS, DenseUncertain);
|
||||
var rows = InMemoryRows(plan, DenseUncertain).ToList();
|
||||
var holdsUncertain = (plan.Reversed ? Enumerable.Reverse(rows) : rows).Select(r => r.Usable > r.Good).ToList();
|
||||
holdsUncertain.Zip(sdkMinMax).Any(p => p.First && (p.Second.StatusCode & 0xFFFF0000u) == 0)
|
||||
.ShouldBeTrue($"{agg}: some interval holds an Uncertain sample yet is Good in the SDK");
|
||||
}
|
||||
var usableAverage = InMemoryRows(plan, DenseUncertain.Select(x => x.IsUsable && !x.IsGood
|
||||
? x with { Status = Good } : x))
|
||||
.Select(r => r.Avg).ToList();
|
||||
@@ -395,6 +408,49 @@ public sealed class SdkAggregateParityTests
|
||||
});
|
||||
}
|
||||
|
||||
/// <summary>#684 review: Good numeric samples with an Uncertain STRING among them (+4).</summary>
|
||||
private static readonly StoredSample[] UncertainString =
|
||||
[
|
||||
S(-5, HistorianValue.FromDouble(20), Good),
|
||||
S(2, HistorianValue.FromDouble(10), Good),
|
||||
S(4, HistorianValue.FromString("x"), Uncertain),
|
||||
S(8, HistorianValue.FromDouble(30), Good),
|
||||
S(25, HistorianValue.FromDouble(20), Good),
|
||||
];
|
||||
|
||||
[Theory]
|
||||
[InlineData(0, 20)]
|
||||
[InlineData(20, 0)]
|
||||
public void An_uncertain_non_numeric_sample_is_skipped_by_the_good_value_aggregates_like_the_SDK(double from, double to)
|
||||
{
|
||||
// #684 review: an Uncertain String is not part of the Good-value set, so it no longer refuses the interval
|
||||
// (BadAggregateInvalidInputs); the SDK's Average skips it (value-based status: Uncertain) and its ComputeMinMax flags
|
||||
// the value it cannot cast (Uncertain). Exact match, every bit but Calculated.
|
||||
var failures = new List<string>();
|
||||
foreach (var agg in new[]
|
||||
{
|
||||
HistoryAggregateType.Average, HistoryAggregateType.Minimum, HistoryAggregateType.Maximum,
|
||||
HistoryAggregateType.Range, HistoryAggregateType.MinimumActualTime, HistoryAggregateType.MaximumActualTime,
|
||||
})
|
||||
{
|
||||
try
|
||||
{
|
||||
var ours = Ours(agg, from, to, 0, UncertainString);
|
||||
SdkAggregateOracle.ShouldMatch(ours, Sdk(agg, from, to, 0, UncertainString), $"{agg} UncertainString {from}→{to}",
|
||||
compareCalculatedInterpolatedBits: false);
|
||||
(ours.Single().StatusCode & StatusBits.CodeBitsMask).ShouldBe(HistorianStatusCodes.UncertainDataSubNormal, agg.ToString());
|
||||
}
|
||||
catch (Exception ex)
|
||||
{
|
||||
failures.Add(ex.Message);
|
||||
}
|
||||
}
|
||||
failures.ShouldBeEmpty(string.Join("\n", failures));
|
||||
// Delta keeps its usable picks and refusal (#680, unchanged): no Good-only reading applies to it.
|
||||
Ours(HistoryAggregateType.Delta, from, to, 0, UncertainString).Single().StatusCode
|
||||
.ShouldBe(HistorianInfoBits.WithCalculated(HistorianStatusCodes.BadAggregateInvalidInputs));
|
||||
}
|
||||
|
||||
[Theory]
|
||||
[InlineData(0, 20)]
|
||||
[InlineData(20, 0)]
|
||||
@@ -647,6 +703,7 @@ public sealed class SdkAggregateParityTests
|
||||
Good = all.Count(s => s.IsGood),
|
||||
Bad = all.Count - usable.Count,
|
||||
NonNumeric = usable.Count - numeric.Count,
|
||||
GoodNonNumeric = usable.Count(s => s.IsGood) - numeric.Count(s => s.IsGood),
|
||||
Avg = good.Count == 0 ? null : good.Average(s => s.Value.Number),
|
||||
Min = good.Count == 0 ? null : good.Min(s => s.Value.Number),
|
||||
Max = good.Count == 0 ? null : good.Max(s => s.Value.Number),
|
||||
|
||||
+12
-5
@@ -105,7 +105,8 @@ public sealed class BucketRowMappingTests
|
||||
t.Columns.Add("SourceTimeUtc", typeof(DateTime));
|
||||
t.Columns.Add("UncMin", typeof(double));
|
||||
t.Columns.Add("UncMax", typeof(double));
|
||||
t.Rows.Add(0L, 1, 1, 1, 0, 0, DBNull.Value, DBNull.Value, 4d, DBNull.Value);
|
||||
t.Columns.Add("goodnonnum", typeof(int));
|
||||
t.Rows.Add(0L, 1, 1, 1, 0, 0, DBNull.Value, DBNull.Value, 4d, DBNull.Value, 0);
|
||||
|
||||
var b = Map(t, AggregateFamily.ActualTime);
|
||||
b.Extreme.ShouldBeNull();
|
||||
@@ -121,7 +122,8 @@ public sealed class BucketRowMappingTests
|
||||
t.Columns.Add("b", typeof(long));
|
||||
foreach (var c in new[] { "total", "usable", "good", "bad", "nonnum" }) t.Columns.Add(c, typeof(int));
|
||||
foreach (var c in new[] { "avg", "min", "max", "sum", "uncmin", "uncmax" }) t.Columns.Add(c, typeof(double));
|
||||
t.Rows.Add(0L, 3, 3, 2, 0, 0, 20d, 10d, 30d, 40d, 5d, 25d);
|
||||
t.Columns.Add("goodnonnum", typeof(int));
|
||||
t.Rows.Add(0L, 4, 4, 2, 0, 1, 20d, 10d, 30d, 40d, 5d, 25d, 0);
|
||||
|
||||
var b = Map(t, AggregateFamily.Simple);
|
||||
b.Avg.ShouldBe(20d);
|
||||
@@ -130,9 +132,13 @@ public sealed class BucketRowMappingTests
|
||||
b.Sum.ShouldBe(40d);
|
||||
b.UncertainMin.ShouldBe(5d);
|
||||
b.UncertainMax.ShouldBe(25d);
|
||||
// Uncertain 5 is below the Good minimum ⇒ Minimum Uncertain; 25 is inside the Good range ⇒ Maximum Good.
|
||||
b.NonNumeric.ShouldBe(1);
|
||||
b.GoodNonNumeric.ShouldBe(0);
|
||||
// Uncertain 5 is below the Good minimum ⇒ Minimum Uncertain. The one non-numeric sample is Uncertain (ordinal 12 says
|
||||
// no Good one), so Average is served — not refused — and Maximum is Uncertain for it (25 alone is inside the range).
|
||||
AggregateEvaluator.Evaluate(HistoryAggregateType.Minimum, b, T, T).StatusCode.ShouldBe(0x40A40401u);
|
||||
AggregateEvaluator.Evaluate(HistoryAggregateType.Maximum, b, T, T).StatusCode.ShouldBe(0x00000401u);
|
||||
AggregateEvaluator.Evaluate(HistoryAggregateType.Average, b, T, T).Value.ShouldBe(20d);
|
||||
AggregateEvaluator.Evaluate(HistoryAggregateType.Maximum, b, T, T).StatusCode.ShouldBe(0x40A40401u);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
@@ -145,7 +151,8 @@ public sealed class BucketRowMappingTests
|
||||
t.Columns.Add("SourceTimeUtc", typeof(DateTime));
|
||||
t.Columns.Add("UncMin", typeof(double));
|
||||
t.Columns.Add("UncMax", typeof(double));
|
||||
t.Rows.Add(0L, 3, 3, 2, 0, 0, 10d, T, 5d, 25d);
|
||||
t.Columns.Add("goodnonnum", typeof(int));
|
||||
t.Rows.Add(0L, 3, 3, 2, 0, 0, 10d, T, 5d, 25d, 0);
|
||||
|
||||
var b = Map(t, AggregateFamily.ActualTime);
|
||||
b.Extreme.ShouldBe(10d);
|
||||
|
||||
Reference in New Issue
Block a user