61 lines
2.3 KiB
Go
61 lines
2.3 KiB
Go
package growth
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import "testing"
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func TestCatalog1405IsValidAndDefensivelyCopied(t *testing.T) {
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first := Catalog1405()
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if err := ValidateCatalog(first); err != nil {
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t.Fatalf("catalog should be valid: %v", err)
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}
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first[0].Tags[0] = "mutated"
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second := Catalog1405()
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if second[0].Tags[0] == "mutated" {
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t.Fatal("catalog tags escaped through a shared backing array")
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}
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}
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func TestValidateCatalogRejectsDuplicateAndIncompleteEvents(t *testing.T) {
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event := catalogEvent("duplicate", "رویداد", "2026-01-01", "2026-01-01", "family", EventOfficial, []string{"tag"})
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if err := ValidateCatalog([]Event{event, event}); err == nil {
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t.Fatal("expected duplicate id error")
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}
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event.Source = ""
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if err := ValidateCatalog([]Event{event}); err == nil {
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t.Fatal("expected missing source error")
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}
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}
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func TestAnalyzeEventEffectExcludesCatalogEventsFromBaseline(t *testing.T) {
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target := Event{ID: "target", StartDate: date("2026-05-02"), EndDate: date("2026-05-02")}
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excluded := Event{ID: "other", StartDate: target.StartDate.AddDate(0, 0, -7), EndDate: target.StartDate.AddDate(0, 0, -7)}
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history := make([]DailyPoint, 0, 9)
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for week := 1; week <= 8; week++ {
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count := int64(30)
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if week == 1 {
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count = 1_000
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}
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history = append(history, DailyPoint{Date: target.StartDate.AddDate(0, 0, -7*week), SessionCount: count, PaidSessionCount: count, PaidAmountRial: count * 100})
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}
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history = append(history, DailyPoint{Date: target.StartDate, SessionCount: 50, PaidSessionCount: 50, PaidAmountRial: 5_000})
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effect := AnalyzeEventEffect(history, target, []Event{excluded})
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if effect.ObservationCount != 7 || effect.BaselineSessionCount != 30 || !effect.MaterialWin {
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t.Fatalf("catalog event polluted baseline: %+v", effect)
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}
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}
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func TestForecastSuppressesPoorBacktest(t *testing.T) {
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start := date("2026-07-01")
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history := make([]DailyPoint, 0, 90)
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for i := 90; i > 0; i-- {
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value := int64(100)
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if i%2 == 0 {
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value = 1_000
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}
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history = append(history, DailyPoint{Date: start.AddDate(0, 0, -i), SessionCount: value, PaidSessionCount: value, PaidAmountRial: value * 1_000})
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}
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forecast := BuildForecast(history, nil, start, 90)
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if forecast.Confidence != ConfidenceInsufficientData || len(forecast.Points) != 0 {
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t.Fatalf("poor model should be suppressed: %+v", forecast)
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}
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}
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