Files
pulse-triage[bot] bf9f0ed982 Cap retained chart observations before allocating wire points
Share the existing time-nearest selection by original indices, so chart conversion materialises only selected observations. Preserve exact timestamps, values, tie breaks, degenerate spans and oldest-source metadata. Check the frozen former sampler across 1,440 cases and the exported fallback contract.

Change-source: pulse-maintainer
Contract-Neutral: Exact chart observations, wire schema, sampling policy and guest/storage lifecycle contracts are unchanged; only index selection and allocation order change.
2026-10-24 14:08:51 +01:00

830 lines
24 KiB
Go

package chartapi
import (
"encoding/json"
"fmt"
"math"
"math/rand"
"reflect"
"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 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 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")
}
}
// A frozen copy of the former wire-point cap is the oracle: source-point
// selection must preserve its exact timestamps/values, not just a point count.
func referenceChartCapByIndex(points []MetricPoint, maxPoints int) []MetricPoint {
if len(points) <= maxPoints || maxPoints <= 0 {
return points
}
if maxPoints == 1 {
return []MetricPoint{points[len(points)-1]}
}
result := make([]MetricPoint, 0, maxPoints)
step := float64(len(points)-1) / float64(maxPoints-1)
prevIndex := -1
for i := 0; i < maxPoints; i++ {
index := int(float64(i)*step + 0.5)
if index <= prevIndex {
index = prevIndex + 1
}
if index >= len(points) {
index = len(points) - 1
}
result = append(result, points[index])
prevIndex = index
}
if result[len(result)-1].Timestamp != points[len(points)-1].Timestamp {
result[len(result)-1] = points[len(points)-1]
}
return result
}
func referenceChartCap(points []MetricPoint, maxPoints int) []MetricPoint {
if len(points) <= maxPoints || maxPoints <= 0 {
return points
}
if maxPoints == 1 {
return []MetricPoint{points[len(points)-1]}
}
startTimestamp := points[0].Timestamp
endTimestamp := points[len(points)-1].Timestamp
if endTimestamp <= startTimestamp {
return referenceChartCapByIndex(points, maxPoints)
}
bucketSpan := float64(endTimestamp-startTimestamp) / float64(maxPoints-1)
if bucketSpan < 1 {
return referenceChartCapByIndex(points, maxPoints)
}
type timeBucketRepresentative struct {
point MetricPoint
distance float64
ok bool
}
buckets := make([]timeBucketRepresentative, maxPoints)
for _, point := range points {
index := int(math.Round(float64(point.Timestamp-startTimestamp) / bucketSpan))
if index < 0 {
index = 0
}
if index >= maxPoints {
index = maxPoints - 1
}
targetTimestamp := float64(startTimestamp) + bucketSpan*float64(index)
distance := math.Abs(float64(point.Timestamp) - targetTimestamp)
current := buckets[index]
if !current.ok ||
distance < current.distance ||
(distance == current.distance && point.Timestamp > current.point.Timestamp) {
buckets[index] = timeBucketRepresentative{
point: point,
distance: distance,
ok: true,
}
}
}
result := make([]MetricPoint, 0, maxPoints)
result = append(result, points[0])
lastAddedTimestamp := points[0].Timestamp
for index := 1; index < maxPoints-1; index++ {
bucket := buckets[index]
if !bucket.ok {
continue
}
if bucket.point.Timestamp <= lastAddedTimestamp {
continue
}
result = append(result, bucket.point)
lastAddedTimestamp = bucket.point.Timestamp
}
lastPoint := points[len(points)-1]
if lastPoint.Timestamp <= lastAddedTimestamp {
result[len(result)-1] = lastPoint
return result
}
result = append(result, lastPoint)
return result
}
func TestChartPointSelectionMatchesOriginalCap(t *testing.T) {
t.Parallel()
rng := rand.New(rand.NewSource(20261024))
for scenario := 0; scenario < 160; scenario++ {
n := []int{0, 1, 2, 3, 17, 121, 240, 500, 777}[scenario%9]
points := make([]MetricPoint, n)
stamp := int64(1_800_000_000_123)
if scenario%11 == 0 {
stamp = -100000
}
for i := range points {
step := int64(rng.Intn(4000))
if i > n/2 {
step %= 5 // dense recent tail, duplicate/millisecond timestamps
}
stamp += step
points[i] = MetricPoint{Timestamp: stamp, Value: float64(rng.Intn(201)-100) / 7}
}
if n > 2 {
points[n-1].Value = 0
switch scenario % 5 {
case 0:
for i := range points {
points[i].Timestamp = stamp // no positive span: index fallback
}
case 1:
points[0], points[n-1] = points[n-1], points[0]
case 2:
points[n/2].Timestamp = points[0].Timestamp - 7 // unselected minimum
}
}
for _, cap := range []int{-1, 0, 1, 2, 3, 30, 36, 120, 500} {
t.Run(fmt.Sprintf("%d/cap=%d", scenario, cap), func(t *testing.T) {
want := referenceChartCap(points, cap)
if got := capMetricPointSeries(points, cap); !reflect.DeepEqual(got, want) {
t.Fatal("time cap changed its selected observations")
}
if got, want := capMetricPointSeriesByIndex(points, cap), referenceChartCapByIndex(points, cap); !reflect.DeepEqual(got, want) {
t.Fatal("index fallback changed its selected observations")
}
source := make([]monitoring.MetricPoint, n)
wantOldest := int64(math.MaxInt64)
for i, point := range points {
source[i] = monitoring.MetricPoint{Timestamp: time.UnixMilli(point.Timestamp), Value: point.Value}
if point.Timestamp < wantOldest {
wantOldest = point.Timestamp
}
}
oldest := int64(math.MaxInt64)
got := convertMetricsForChart(map[string][]monitoring.MetricPoint{
"cpu": source, "not-a-sparkline": {{Timestamp: time.UnixMilli(math.MinInt64), Value: -999}},
}, &oldest, cap)
if len(got) != 1 || !reflect.DeepEqual(got["cpu"], want) || oldest != wantOldest {
t.Fatalf("source conversion/cap/oldest changed: oldest %d, want %d", oldest, wantOldest)
}
if len(got["cpu"]) > 0 {
got["cpu"][0].Value = 9999
if source[0].Value != points[0].Value {
t.Fatal("wire output aliases retained source")
}
}
})
}
}
}