package chartapi import ( "encoding/json" "testing" "time" "github.com/rcourtman/pulse-go-rewrite/internal/models" "github.com/rcourtman/pulse-go-rewrite/internal/monitoring" ) // TestChartResponseTypes verifies the ChartResponse struct fields func TestChartResponseTypes(t *testing.T) { t.Parallel() now := time.Now().Unix() * 1000 response := ChartResponse{ ChartData: map[string]VMChartData{ "pve1/qemu/100": { "cpu": []MetricPoint{{Timestamp: now, Value: 45.5}}, "memory": []MetricPoint{{Timestamp: now, Value: 60.0}}, "disk": []MetricPoint{{Timestamp: now, Value: 30.0}}, }, }, NodeData: map[string]NodeChartData{ "pve1": { "cpu": []MetricPoint{{Timestamp: now, Value: 35.0}}, "memory": []MetricPoint{{Timestamp: now, Value: 50.0}}, }, }, StorageData: map[string]StorageChartData{ "local-zfs": { "disk": []MetricPoint{{Timestamp: now, Value: 25.0}}, }, }, DockerData: map[string]VMChartData{ "abc123def456": { "cpu": []MetricPoint{{Timestamp: now, Value: 5.0}}, "memory": []MetricPoint{{Timestamp: now, Value: 15.0}}, }, }, DockerHostData: map[string]VMChartData{ "docker-host-1": { "cpu": []MetricPoint{{Timestamp: now, Value: 20.0}}, "memory": []MetricPoint{{Timestamp: now, Value: 40.0}}, }, }, GuestTypes: map[string]string{ "pve1/qemu/100": "vm", "pve1/lxc/200": "system-container", }, Timestamp: now, Stats: ChartStats{ OldestDataTimestamp: now - 3600000, }, } // Verify all fields are properly set if len(response.ChartData) != 1 { t.Errorf("Expected 1 chart data entry, got %d", len(response.ChartData)) } if len(response.NodeData) != 1 { t.Errorf("Expected 1 node data entry, got %d", len(response.NodeData)) } if len(response.StorageData) != 1 { t.Errorf("Expected 1 storage data entry, got %d", len(response.StorageData)) } if len(response.DockerData) != 1 { t.Errorf("Expected 1 docker data entry, got %d", len(response.DockerData)) } if len(response.DockerHostData) != 1 { t.Errorf("Expected 1 docker host data entry, got %d", len(response.DockerHostData)) } if len(response.GuestTypes) != 2 { t.Errorf("Expected 2 guest type entries, got %d", len(response.GuestTypes)) } // Verify guest types mapping if response.GuestTypes["pve1/qemu/100"] != "vm" { t.Errorf("Expected guest type 'vm', got '%s'", response.GuestTypes["pve1/qemu/100"]) } if response.GuestTypes["pve1/lxc/200"] != "system-container" { t.Errorf("Expected guest type 'system-container', got '%s'", response.GuestTypes["pve1/lxc/200"]) } // Verify docker data metric points cpuPoints := response.DockerData["abc123def456"]["cpu"] if len(cpuPoints) != 1 || cpuPoints[0].Value != 5.0 { t.Errorf("Docker container CPU metric incorrect") } } func TestChartResponseJSONSerialization(t *testing.T) { t.Parallel() now := time.Now().Unix() * 1000 response := ChartResponse{ ChartData: map[string]VMChartData{ "vm-1": {"cpu": []MetricPoint{{Timestamp: now, Value: 50.0}}}, }, NodeData: map[string]NodeChartData{}, StorageData: map[string]StorageChartData{}, DockerData: map[string]VMChartData{ "container-abc": {"cpu": []MetricPoint{{Timestamp: now, Value: 10.0}}}, }, DockerHostData: map[string]VMChartData{ "host-1": {"cpu": []MetricPoint{{Timestamp: now, Value: 25.0}}}, }, GuestTypes: map[string]string{"vm-1": "vm"}, Timestamp: now, Stats: ChartStats{OldestDataTimestamp: now - 3600000}, } // Serialize to JSON data, err := json.Marshal(response) if err != nil { t.Fatalf("Failed to marshal ChartResponse: %v", err) } // Deserialize back var decoded ChartResponse if err := json.Unmarshal(data, &decoded); err != nil { t.Fatalf("Failed to unmarshal ChartResponse: %v", err) } // Verify dockerData field name in JSON var rawMap map[string]interface{} if err := json.Unmarshal(data, &rawMap); err != nil { t.Fatalf("Failed to unmarshal to raw map: %v", err) } // Check that the JSON keys match expected names expectedKeys := []string{"data", "nodeData", "storageData", "dockerData", "dockerHostData", "guestTypes", "timestamp", "stats"} for _, key := range expectedKeys { if _, ok := rawMap[key]; !ok { t.Errorf("Expected JSON key '%s' not found", key) } } // Verify dockerData content if dockerData, ok := rawMap["dockerData"].(map[string]interface{}); ok { if _, ok := dockerData["container-abc"]; !ok { t.Errorf("Expected 'container-abc' in dockerData") } } else { t.Errorf("dockerData not found or wrong type") } // Verify dockerHostData content if dockerHostData, ok := rawMap["dockerHostData"].(map[string]interface{}); ok { if _, ok := dockerHostData["host-1"]; !ok { t.Errorf("Expected 'host-1' in dockerHostData") } } else { t.Errorf("dockerHostData not found or wrong type") } } func TestMetricPointStructure(t *testing.T) { t.Parallel() tests := []struct { name string point MetricPoint wantJSON string }{ { name: "positive values", point: MetricPoint{Timestamp: 1733700000000, Value: 45.5}, wantJSON: `{"timestamp":1733700000000,"value":45.5}`, }, { name: "zero values", point: MetricPoint{Timestamp: 0, Value: 0}, wantJSON: `{"timestamp":0,"value":0}`, }, { name: "high precision value", point: MetricPoint{Timestamp: 1733700000000, Value: 99.99999}, wantJSON: `{"timestamp":1733700000000,"value":99.99999}`, }, } for _, tt := range tests { tt := tt t.Run(tt.name, func(t *testing.T) { data, err := json.Marshal(tt.point) if err != nil { t.Fatalf("Failed to marshal MetricPoint: %v", err) } if string(data) != tt.wantJSON { t.Errorf("JSON mismatch\ngot: %s\nwant: %s", string(data), tt.wantJSON) } }) } } func TestConvertMetricsForChart_PreservesMillisecondTimestamps(t *testing.T) { t.Parallel() oldest := time.Now().UnixMilli() ts := time.Date(2026, time.March, 31, 12, 0, 0, 789_000_000, time.UTC) converted := convertMetricsForChart( map[string][]monitoring.MetricPoint{ "memory": { {Timestamp: ts, Value: 42}, }, }, &oldest, 180, ) points := converted["memory"] if len(points) != 1 { t.Fatalf("expected 1 converted point, got %d", len(points)) } if points[0].Timestamp != ts.UnixMilli() { t.Fatalf("expected timestamp %d, got %d", ts.UnixMilli(), points[0].Timestamp) } } func TestTimeRangeConversion(t *testing.T) { t.Parallel() // Test the time range conversion logic used in handleCharts tests := []struct { rangeStr string expectedDur time.Duration }{ {"5m", 5 * time.Minute}, {"15m", 15 * time.Minute}, {"30m", 30 * time.Minute}, {"1h", time.Hour}, {"4h", 4 * time.Hour}, {"8h", 8 * time.Hour}, {"12h", 12 * time.Hour}, {"24h", 24 * time.Hour}, {"7d", 7 * 24 * time.Hour}, {"30d", 30 * 24 * time.Hour}, {"", time.Hour}, // default {"invalid", time.Hour}, // fallback } for _, tt := range tests { tt := tt t.Run("range_"+tt.rangeStr, func(t *testing.T) { duration := parseChartsRangeDuration(tt.rangeStr) if duration != tt.expectedDur { t.Errorf("Time range %q: got %v, want %v", tt.rangeStr, duration, tt.expectedDur) } }) } } func TestTargetInfrastructureSummarySeriesPoints(t *testing.T) { t.Parallel() tests := []struct { name string duration time.Duration want int }{ {name: "zero_defaults_to_minimum", duration: 0, want: infrastructureSummaryMinSeriesPoints}, {name: "one_hour_keeps_minute_resolution", duration: time.Hour, want: 60}, {name: "four_hours_caps_at_maximum", duration: 4 * time.Hour, want: infrastructureSummaryMaxSeriesPoints}, {name: "seven_days_caps_at_maximum", duration: 7 * 24 * time.Hour, want: infrastructureSummaryMaxSeriesPoints}, } for _, tt := range tests { tt := tt t.Run(tt.name, func(t *testing.T) { if got := targetInfrastructureSummarySeriesPoints(tt.duration); got != tt.want { t.Fatalf("targetInfrastructureSummarySeriesPoints(%v) = %d, want %d", tt.duration, got, tt.want) } }) } } func TestNormalizeInfrastructureSummaryMetricPointSeriesSmoothsMixedCadenceTail(t *testing.T) { t.Parallel() now := time.Date(2026, time.March, 31, 12, 0, 0, 0, time.UTC) duration := 7 * 24 * time.Hour windowStart := now.Add(-duration) var points []MetricPoint for ts := windowStart; ts.Before(now.Add(-24 * time.Hour)); ts = ts.Add(65 * time.Minute) { points = append(points, MetricPoint{ Timestamp: ts.UnixMilli(), Value: 20, }) } for ts := now.Add(-24 * time.Hour); ts.Before(now.Add(-2 * time.Hour)); ts = ts.Add(2 * time.Minute) { points = append(points, MetricPoint{ Timestamp: ts.UnixMilli(), Value: 40, }) } for ts := now.Add(-2 * time.Hour); ts.Before(now); ts = ts.Add(time.Minute) { points = append(points, MetricPoint{ Timestamp: ts.UnixMilli(), Value: 60, }) } points = append(points, MetricPoint{Timestamp: now.UnixMilli(), Value: 75}) normalized := normalizeInfrastructureSummaryMetricPointSeries(points, "cpu", duration, now.UnixMilli()) if len(normalized) > infrastructureSummaryMaxSeriesPoints { t.Fatalf("expected normalized point count <= %d, got %d", infrastructureSummaryMaxSeriesPoints, len(normalized)) } if len(normalized) < 60 { t.Fatalf("expected a range-wide summary series, got only %d points", len(normalized)) } if normalized[len(normalized)-1].Timestamp != points[len(points)-1].Timestamp { t.Fatalf("expected latest timestamp %d, got %d", points[len(points)-1].Timestamp, normalized[len(normalized)-1].Timestamp) } if normalized[len(normalized)-1].Value != points[len(points)-1].Value { t.Fatalf("expected latest value %.1f, got %.1f", points[len(points)-1].Value, normalized[len(normalized)-1].Value) } recentWindowStart := now.Add(-24 * time.Hour).UnixMilli() recentCount := 0 for _, point := range normalized { if point.Timestamp >= recentWindowStart { recentCount++ } } if recentCount > 20 { t.Fatalf("expected roughly day-proportional recent buckets after normalization, got %d recent points", recentCount) } } func TestNormalizeInfrastructureSummaryMetricPointSeriesAveragesPlateauMetrics(t *testing.T) { t.Parallel() now := time.Date(2026, time.March, 31, 12, 0, 0, 0, time.UTC) duration := 4 * time.Hour bucketCount := targetInfrastructureSummarySeriesPoints(duration) windowStart := now.Add(-duration) durationMillis := duration.Milliseconds() firstBucketEnd := windowStart.UnixMilli() + durationMillis/int64(bucketCount) points := make([]MetricPoint, 0, bucketCount+2) points = append(points, MetricPoint{Timestamp: windowStart.UnixMilli() + 1_000, Value: 20}, MetricPoint{Timestamp: windowStart.UnixMilli() + 30_000, Value: 40}, MetricPoint{Timestamp: firstBucketEnd - 1_000, Value: 80}, ) for bucketIndex := 1; bucketIndex < bucketCount-1; bucketIndex++ { bucketStart := windowStart.UnixMilli() + (int64(bucketIndex)*durationMillis)/int64(bucketCount) bucketEnd := windowStart.UnixMilli() + (int64(bucketIndex+1)*durationMillis)/int64(bucketCount) points = append(points, MetricPoint{ Timestamp: bucketStart + (bucketEnd-bucketStart)/2, Value: float64(20 + bucketIndex), }) } points = append(points, MetricPoint{Timestamp: now.UnixMilli(), Value: 55}) normalized := normalizeInfrastructureSummaryMetricPointSeries(points, "memory", duration, now.UnixMilli()) if len(normalized) < 2 { t.Fatalf("expected at least two normalized points, got %d", len(normalized)) } firstValue := normalized[0].Value if firstValue != (20+40+80)/3.0 { t.Fatalf("expected first bucket average %.2f, got %.2f", (20+40+80)/3.0, firstValue) } if normalized[len(normalized)-1].Value != 55 { t.Fatalf("expected latest point to preserve final value 55, got %.2f", normalized[len(normalized)-1].Value) } } func TestTargetWorkloadsSummarySeriesPoints(t *testing.T) { t.Parallel() tests := []struct { name string duration time.Duration want int }{ {name: "zero_defaults_to_minimum", duration: 0, want: workloadsSummaryMinSeriesPoints}, {name: "one_hour_keeps_minute_resolution", duration: time.Hour, want: 60}, {name: "four_hours_caps_at_maximum", duration: 4 * time.Hour, want: workloadsSummaryMaxSeriesPoints}, {name: "seven_days_caps_at_maximum", duration: 7 * 24 * time.Hour, want: workloadsSummaryMaxSeriesPoints}, } for _, tt := range tests { tt := tt t.Run(tt.name, func(t *testing.T) { if got := targetWorkloadsSummarySeriesPoints(tt.duration); got != tt.want { t.Fatalf("targetWorkloadsSummarySeriesPoints(%v) = %d, want %d", tt.duration, got, tt.want) } }) } } func TestCapMetricPointSeriesSmoothsMixedCadenceTail(t *testing.T) { t.Parallel() now := time.Date(2026, time.March, 31, 12, 0, 0, 0, time.UTC) duration := 7 * 24 * time.Hour windowStart := now.Add(-duration) var points []MetricPoint for ts := windowStart; ts.Before(now.Add(-24 * time.Hour)); ts = ts.Add(65 * time.Minute) { points = append(points, MetricPoint{Timestamp: ts.UnixMilli(), Value: 20}) } for ts := now.Add(-24 * time.Hour); ts.Before(now.Add(-2 * time.Hour)); ts = ts.Add(2 * time.Minute) { points = append(points, MetricPoint{Timestamp: ts.UnixMilli(), Value: 40}) } for ts := now.Add(-2 * time.Hour); ts.Before(now); ts = ts.Add(time.Minute) { points = append(points, MetricPoint{Timestamp: ts.UnixMilli(), Value: 60}) } points = append(points, MetricPoint{Timestamp: now.UnixMilli(), Value: 75}) capped := capMetricPointSeries(points, 24) if len(capped) > 24 { t.Fatalf("expected capped point count <= 24, got %d", len(capped)) } if capped[0].Timestamp != points[0].Timestamp { t.Fatalf("expected first timestamp %d, got %d", points[0].Timestamp, capped[0].Timestamp) } if capped[len(capped)-1].Timestamp != points[len(points)-1].Timestamp { t.Fatalf("expected latest timestamp %d, got %d", points[len(points)-1].Timestamp, capped[len(capped)-1].Timestamp) } recentWindowStart := now.Add(-24 * time.Hour).UnixMilli() recentCount := 0 for _, point := range capped { if point.Timestamp >= recentWindowStart { recentCount++ } } if recentCount > 6 { t.Fatalf("expected day-proportional capped points, got %d points in the final day", recentCount) } } func TestNormalizeWorkloadsSummaryMetricPointSeriesSmoothsMixedCadenceTail(t *testing.T) { t.Parallel() now := time.Date(2026, time.March, 31, 12, 0, 0, 0, time.UTC) duration := 7 * 24 * time.Hour windowStart := now.Add(-duration) var points []MetricPoint for ts := windowStart; ts.Before(now.Add(-24 * time.Hour)); ts = ts.Add(65 * time.Minute) { points = append(points, MetricPoint{Timestamp: ts.UnixMilli(), Value: 20}) } for ts := now.Add(-24 * time.Hour); ts.Before(now.Add(-2 * time.Hour)); ts = ts.Add(2 * time.Minute) { points = append(points, MetricPoint{Timestamp: ts.UnixMilli(), Value: 40}) } for ts := now.Add(-2 * time.Hour); ts.Before(now); ts = ts.Add(time.Minute) { points = append(points, MetricPoint{Timestamp: ts.UnixMilli(), Value: 60}) } points = append(points, MetricPoint{Timestamp: now.UnixMilli(), Value: 75}) normalized := normalizeWorkloadsSummaryMetricPointSeries(WorkloadsSummaryMetricData{ P50: append([]MetricPoint(nil), points...), P95: append([]MetricPoint(nil), points...), }, duration) if len(normalized.P50) > workloadsSummaryMaxSeriesPoints { t.Fatalf("expected p50 point count <= %d, got %d", workloadsSummaryMaxSeriesPoints, len(normalized.P50)) } if len(normalized.P95) > workloadsSummaryMaxSeriesPoints { t.Fatalf("expected p95 point count <= %d, got %d", workloadsSummaryMaxSeriesPoints, len(normalized.P95)) } if normalized.P50[len(normalized.P50)-1].Timestamp != now.UnixMilli() { t.Fatalf("expected latest p50 timestamp %d, got %d", now.UnixMilli(), normalized.P50[len(normalized.P50)-1].Timestamp) } if normalized.P95[len(normalized.P95)-1].Timestamp != now.UnixMilli() { t.Fatalf("expected latest p95 timestamp %d, got %d", now.UnixMilli(), normalized.P95[len(normalized.P95)-1].Timestamp) } recentWindowStart := now.Add(-24 * time.Hour).UnixMilli() recentCount := 0 for _, point := range normalized.P50 { if point.Timestamp >= recentWindowStart { recentCount++ } } if recentCount > 20 { t.Fatalf("expected day-proportional workload summary buckets, got %d recent p50 points", recentCount) } } func TestDockerMetricKeyFormat(t *testing.T) { t.Parallel() // Test that Docker container metric keys follow the expected format // This mirrors the logic in handleCharts: fmt.Sprintf("docker:%s", container.ID) tests := []struct { containerID string expectedKey string }{ {"abc123", "docker:abc123"}, {"abc123def456789", "docker:abc123def456789"}, {"sha256:abc123", "docker:sha256:abc123"}, } for _, tt := range tests { tt := tt t.Run(tt.containerID, func(t *testing.T) { key := "docker:" + tt.containerID if key != tt.expectedKey { t.Errorf("Docker metric key: got %q, want %q", key, tt.expectedKey) } }) } } func TestDockerHostMetricKeyFormat(t *testing.T) { t.Parallel() // Test that Docker host metric keys follow the expected format // This mirrors the logic in handleCharts: fmt.Sprintf("dockerHost:%s", host.ID) tests := []struct { hostID string expectedKey string }{ {"docker-host-1", "dockerHost:docker-host-1"}, {"my-server", "dockerHost:my-server"}, {"192.168.1.10", "dockerHost:192.168.1.10"}, } for _, tt := range tests { tt := tt t.Run(tt.hostID, func(t *testing.T) { key := "dockerHost:" + tt.hostID if key != tt.expectedKey { t.Errorf("Docker host metric key: got %q, want %q", key, tt.expectedKey) } }) } } func TestGuestTypesMapping(t *testing.T) { t.Parallel() // Simulate the guest types map building from state vms := []models.VM{ {ID: "pve1/qemu/100"}, {ID: "pve1/qemu/200"}, } containers := []models.Container{ {ID: "pve1/lxc/300"}, {ID: "pve1/lxc/400"}, } guestTypes := make(map[string]string) for _, vm := range vms { guestTypes[vm.ID] = "vm" } for _, ct := range containers { guestTypes[ct.ID] = "system-container" } if len(guestTypes) != 4 { t.Errorf("Expected 4 guest types, got %d", len(guestTypes)) } // Verify VM types for _, vm := range vms { if guestTypes[vm.ID] != "vm" { t.Errorf("Expected 'vm' for %s, got '%s'", vm.ID, guestTypes[vm.ID]) } } // Verify container types for _, ct := range containers { if guestTypes[ct.ID] != "system-container" { t.Errorf("Expected 'system-container' for %s, got '%s'", ct.ID, guestTypes[ct.ID]) } } } func TestDockerContainerDiskPercentCalculation(t *testing.T) { t.Parallel() // Test disk percentage calculation for Docker containers // Mirrors: float64(container.WritableLayerBytes) / float64(container.RootFilesystemBytes) * 100 tests := []struct { name string writableLayerBytes uint64 rootFilesystemBytes uint64 expectedDiskPercent float64 }{ {"50% usage", 500, 1000, 50.0}, {"100% usage", 1000, 1000, 100.0}, {"0% usage", 0, 1000, 0.0}, {"zero root filesystem", 100, 0, 0.0}, // Should avoid division by zero {"both zero", 0, 0, 0.0}, {"small values", 10, 100, 10.0}, } for _, tt := range tests { tt := tt t.Run(tt.name, func(t *testing.T) { var diskPercent float64 if tt.rootFilesystemBytes > 0 && tt.writableLayerBytes > 0 { diskPercent = float64(tt.writableLayerBytes) / float64(tt.rootFilesystemBytes) * 100 if diskPercent > 100 { diskPercent = 100 } } if diskPercent != tt.expectedDiskPercent { t.Errorf("Disk percent: got %f, want %f", diskPercent, tt.expectedDiskPercent) } }) } } func TestChartStatsOldestTimestamp(t *testing.T) { t.Parallel() now := time.Now().Unix() * 1000 oneHourAgo := now - 3600000 // 1 hour in ms fourHoursAgo := now - 14400000 // 4 hours in ms // Simulate finding oldest timestamp timestamps := []int64{now, oneHourAgo, fourHoursAgo, now - 1800000} oldestTimestamp := now for _, ts := range timestamps { if ts < oldestTimestamp { oldestTimestamp = ts } } if oldestTimestamp != fourHoursAgo { t.Errorf("Oldest timestamp: got %d, want %d", oldestTimestamp, fourHoursAgo) } stats := ChartStats{OldestDataTimestamp: oldestTimestamp} if stats.OldestDataTimestamp != fourHoursAgo { t.Errorf("ChartStats.OldestDataTimestamp: got %d, want %d", stats.OldestDataTimestamp, fourHoursAgo) } } func TestChartStatsDebugMetadata(t *testing.T) { t.Parallel() stats := ChartStats{ OldestDataTimestamp: 1_730_000_000_000, Range: "24h", RangeSeconds: 86_400, MetricsStoreEnabled: true, PrimarySourceHint: "store_or_memory_fallback", InMemoryThresholdSecs: 7_200, PointCounts: ChartPointCounts{ Total: 1200, Guests: 300, Nodes: 200, Storage: 100, DockerContainers: 250, DockerHosts: 150, Agents: 200, }, } raw, err := json.Marshal(stats) if err != nil { t.Fatalf("Failed to marshal ChartStats: %v", err) } var decoded map[string]interface{} if err := json.Unmarshal(raw, &decoded); err != nil { t.Fatalf("Failed to unmarshal ChartStats JSON: %v", err) } if decoded["range"] != "24h" { t.Errorf("Expected range=24h, got %v", decoded["range"]) } if decoded["primarySourceHint"] != "store_or_memory_fallback" { t.Errorf("Expected primarySourceHint, got %v", decoded["primarySourceHint"]) } pointCounts, ok := decoded["pointCounts"].(map[string]interface{}) if !ok { t.Fatalf("Expected pointCounts object in debug stats") } if pointCounts["total"] != float64(1200) { t.Errorf("Expected pointCounts.total=1200, got %v", pointCounts["total"]) } } func TestEmptyDockerData(t *testing.T) { t.Parallel() // Verify that empty DockerData is properly handled in JSON response := ChartResponse{ ChartData: map[string]VMChartData{}, NodeData: map[string]NodeChartData{}, StorageData: map[string]StorageChartData{}, DockerData: map[string]VMChartData{}, DockerHostData: map[string]VMChartData{}, GuestTypes: map[string]string{}, Timestamp: time.Now().Unix() * 1000, Stats: ChartStats{OldestDataTimestamp: time.Now().Unix() * 1000}, } data, err := json.Marshal(response) if err != nil { t.Fatalf("Failed to marshal empty ChartResponse: %v", err) } var rawMap map[string]interface{} if err := json.Unmarshal(data, &rawMap); err != nil { t.Fatalf("Failed to unmarshal: %v", err) } // Check dockerData is present but empty if dockerData, ok := rawMap["dockerData"].(map[string]interface{}); ok { if len(dockerData) != 0 { t.Errorf("Expected empty dockerData, got %d entries", len(dockerData)) } } else { t.Errorf("dockerData should be an empty object, not missing") } }