alexei.dolgolyov
292223174c
Adds a calibration dashboard that joins persisted SuspensionFlip anomalies with EventResult rows and reports whether the post-flip favourite actually won — the single metric that says whether the detector is doing its job. Domain: - AnomalyEvidenceData + AnomalyEvidenceParser to read the JSON written by AnomalyDetector without re-implementing the schema. - AnomalyOutcomeEvaluator: pure function returning Hit / Miss / Unresolved. Tennis-style two-way markets with a Draw winner are downgraded to Unresolved rather than silently counted as Miss. - AnomalySeverityThresholds: shared Low/Medium/High constants so the UI badge and the report buckets cannot drift. Application: - EvaluateAnomalyOutcomesUseCase orchestrates the join + aggregation. - AnomalyOutcomeReport carries totals, hit rate, three breakdowns (severity / sport / score bins) and a per-event title lookup so the UI needs no second pass over IEventRepository. - Score bins extend below 0.30 automatically when the operator lowers the detector threshold so the histogram total always equals ResolvedCount. UI: - Insights page at /anomalies/insights — hero header, 4-card KPI strip (hit rate tinted by tone), three breakdown grids with bar visualisation, drill-down tables for resolved and unresolved anomalies. Honors prefers-reduced-motion. RU + EN localisation. - Nav entry under Analysis section + chip button on the Anomaly Feed. Tests: +42 across Domain + Application (evaluator boundary cases including tennis two-way and Draw guard, score-bin edges, dynamic floor when threshold is lowered, event-title pass-through). All 324 tests pass. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
123 lines
4.1 KiB
C#
123 lines
4.1 KiB
C#
using FluentAssertions;
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using Marathon.Domain.AnomalyDetection;
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using Marathon.Domain.Enums;
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namespace Marathon.Domain.Tests.AnomalyDetection;
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/// <summary>
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/// Unit tests for <see cref="AnomalyEvidenceParser"/> covering happy path,
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/// two-way (no draw), and malformed JSON tolerance.
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/// </summary>
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public sealed class AnomalyEvidenceParserTests
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{
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[Fact]
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public void Should_Parse_ThreeWayEvidence_With_DrawOutcome()
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{
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const string json = """
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{
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"suspensionGapSeconds": 90,
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"preSuspension": {
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"capturedAt": "2026-05-10T18:00:00+03:00",
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"p1": 0.55, "pDraw": 0.20, "p2": 0.25,
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"rate1": 1.8, "rateDraw": 4.5, "rate2": 4.0
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},
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"postSuspension": {
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"capturedAt": "2026-05-10T18:02:30+03:00",
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"p1": 0.25, "pDraw": 0.20, "p2": 0.55,
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"rate1": 4.0, "rateDraw": 4.5, "rate2": 1.8
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}
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}
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""";
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var parsed = AnomalyEvidenceParser.TryParse(json, out var data);
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parsed.Should().BeTrue();
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data.SuspensionGapSeconds.Should().Be(90);
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data.PreSuspension.P1.Should().Be(0.55m);
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data.PreSuspension.PDraw.Should().Be(0.20m);
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data.PreSuspension.Favourite.Should().Be(Side.Side1, "Side1 had the highest pre-suspension probability");
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data.PostSuspension.Favourite.Should().Be(Side.Side2, "Side2 became favourite after the flip");
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}
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[Fact]
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public void Should_Parse_TwoWayEvidence_With_NullDraw()
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{
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const string json = """
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{
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"suspensionGapSeconds": 75,
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"preSuspension": {
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"capturedAt": "2026-05-10T18:00:00+03:00",
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"p1": 0.70, "p2": 0.30,
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"rate1": 1.4, "rate2": 3.3
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},
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"postSuspension": {
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"capturedAt": "2026-05-10T18:01:30+03:00",
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"p1": 0.30, "p2": 0.70,
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"rate1": 3.3, "rate2": 1.4
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}
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}
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""";
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var parsed = AnomalyEvidenceParser.TryParse(json, out var data);
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parsed.Should().BeTrue();
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data.PreSuspension.PDraw.Should().BeNull("tennis has no draw outcome");
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data.PreSuspension.RateDraw.Should().BeNull();
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data.PreSuspension.Favourite.Should().Be(Side.Side1);
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data.PostSuspension.Favourite.Should().Be(Side.Side2);
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}
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[Fact]
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public void Should_ReturnFalse_When_JsonIsNullOrEmpty()
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{
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AnomalyEvidenceParser.TryParse(null, out _).Should().BeFalse();
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AnomalyEvidenceParser.TryParse(string.Empty, out _).Should().BeFalse();
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AnomalyEvidenceParser.TryParse(" ", out _).Should().BeFalse();
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}
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[Fact]
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public void Should_ReturnFalse_When_JsonIsMalformed()
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{
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AnomalyEvidenceParser.TryParse("{not json", out _).Should().BeFalse();
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}
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[Fact]
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public void Should_ReturnFalse_When_PreOrPostSuspensionMissing()
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{
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const string onlyPre = """
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{
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"suspensionGapSeconds": 90,
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"preSuspension": {
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"capturedAt": "2026-05-10T18:00:00+03:00",
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"p1": 0.55, "p2": 0.25, "rate1": 1.8, "rate2": 4.0
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}
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}
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""";
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AnomalyEvidenceParser.TryParse(onlyPre, out _).Should().BeFalse();
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}
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[Fact]
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public void Favourite_Should_Be_Draw_When_DrawIsMostLikely()
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{
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const string json = """
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{
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"suspensionGapSeconds": 60,
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"preSuspension": {
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"capturedAt": "2026-05-10T18:00:00+03:00",
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"p1": 0.30, "pDraw": 0.50, "p2": 0.20,
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"rate1": 3.3, "rateDraw": 2.0, "rate2": 5.0
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},
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"postSuspension": {
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"capturedAt": "2026-05-10T18:01:00+03:00",
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"p1": 0.30, "pDraw": 0.50, "p2": 0.20,
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"rate1": 3.3, "rateDraw": 2.0, "rate2": 5.0
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}
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}
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""";
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AnomalyEvidenceParser.TryParse(json, out var data).Should().BeTrue();
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data.PreSuspension.Favourite.Should().Be(Side.Draw);
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}
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}
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