mirror of https://github.com/status-im/consul.git
410 lines
11 KiB
Go
410 lines
11 KiB
Go
package telemetry
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import (
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"context"
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"fmt"
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"sort"
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"strings"
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"sync"
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"testing"
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gometrics "github.com/armon/go-metrics"
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"github.com/stretchr/testify/require"
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"go.opentelemetry.io/otel/attribute"
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"go.opentelemetry.io/otel/sdk/metric"
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"go.opentelemetry.io/otel/sdk/metric/metricdata"
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"go.opentelemetry.io/otel/sdk/resource"
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)
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var (
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expectedResource = resource.NewWithAttributes("", attribute.KeyValue{
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Key: attribute.Key("node_id"),
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Value: attribute.StringValue("test"),
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})
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attrs = attribute.NewSet(attribute.KeyValue{
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Key: attribute.Key("metric.label"),
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Value: attribute.StringValue("test"),
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})
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expectedSinkMetrics = map[string]metricdata.Metrics{
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"consul.raft.leader": {
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Name: "consul.raft.leader",
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Description: "",
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Unit: "",
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Data: metricdata.Gauge[float64]{
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DataPoints: []metricdata.DataPoint[float64]{
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{
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Attributes: *attribute.EmptySet(),
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Value: float64(float32(0)),
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},
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},
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},
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},
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"consul.autopilot.healthy": {
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Name: "consul.autopilot.healthy",
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Description: "",
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Unit: "",
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Data: metricdata.Gauge[float64]{
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DataPoints: []metricdata.DataPoint[float64]{
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{
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Attributes: attrs,
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Value: float64(float32(1.23)),
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},
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},
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},
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},
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"consul.raft.state.leader": {
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Name: "consul.raft.state.leader",
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Description: "",
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Unit: "",
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Data: metricdata.Sum[float64]{
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DataPoints: []metricdata.DataPoint[float64]{
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{
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Attributes: *attribute.EmptySet(),
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Value: float64(float32(23.23)),
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},
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},
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},
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},
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"consul.raft.apply": {
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Name: "consul.raft.apply",
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Description: "",
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Unit: "",
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Data: metricdata.Sum[float64]{
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DataPoints: []metricdata.DataPoint[float64]{
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{
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Attributes: attrs,
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Value: float64(float32(1.44)),
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},
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},
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},
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},
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"consul.raft.leader.lastContact": {
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Name: "consul.raft.leader.lastContact",
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Description: "",
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Unit: "",
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Data: metricdata.Histogram[float64]{
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DataPoints: []metricdata.HistogramDataPoint[float64]{
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{
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Attributes: *attribute.EmptySet(),
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Count: 1,
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Sum: float64(float32(45.32)),
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Min: metricdata.NewExtrema(float64(float32(45.32))),
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Max: metricdata.NewExtrema(float64(float32(45.32))),
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},
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},
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},
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},
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"consul.raft.commitTime": {
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Name: "consul.raft.commitTime",
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Description: "",
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Unit: "",
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Data: metricdata.Histogram[float64]{
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DataPoints: []metricdata.HistogramDataPoint[float64]{
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{
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Attributes: attrs,
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Count: 1,
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Sum: float64(float32(26.34)),
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Min: metricdata.NewExtrema(float64(float32(26.34))),
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Max: metricdata.NewExtrema(float64(float32(26.34))),
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},
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},
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},
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},
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}
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)
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func TestNewOTELSink(t *testing.T) {
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t.Parallel()
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for name, test := range map[string]struct {
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wantErr string
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opts *OTELSinkOpts
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}{
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"failsWithEmptyLogger": {
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wantErr: "ferror: provide valid context",
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opts: &OTELSinkOpts{
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Reader: metric.NewManualReader(),
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},
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},
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"failsWithEmptyReader": {
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wantErr: "ferror: provide valid reader",
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opts: &OTELSinkOpts{
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Reader: nil,
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Ctx: context.Background(),
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},
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},
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"success": {
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opts: &OTELSinkOpts{
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Ctx: context.Background(),
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Reader: metric.NewManualReader(),
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Labels: map[string]string{
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"server": "test",
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},
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Filters: []string{"raft"},
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},
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},
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} {
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test := test
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t.Run(name, func(t *testing.T) {
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t.Parallel()
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sink, err := NewOTELSink(test.opts)
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if test.wantErr != "" {
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require.Error(t, err)
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require.Contains(t, err.Error(), test.wantErr)
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return
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}
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require.NotNil(t, sink)
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})
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}
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}
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func TestOTELSink(t *testing.T) {
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t.Parallel()
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// Manual reader outputs the aggregated metrics when reader.Collect is called.
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reader := metric.NewManualReader()
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ctx := context.Background()
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opts := &OTELSinkOpts{
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Reader: reader,
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Ctx: ctx,
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Filters: []string{"raft", "autopilot"},
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Labels: map[string]string{
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"node_id": "test",
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},
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}
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sink, err := NewOTELSink(opts)
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require.NoError(t, err)
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labels := []gometrics.Label{
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{
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Name: "metric.label",
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Value: "test",
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},
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}
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sink.SetGauge([]string{"consul", "raft", "leader"}, float32(0))
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sink.SetGaugeWithLabels([]string{"consul", "autopilot", "healthy"}, float32(1.23), labels)
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sink.IncrCounter([]string{"consul", "raft", "state", "leader"}, float32(23.23))
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sink.IncrCounterWithLabels([]string{"consul", "raft", "apply"}, float32(1.44), labels)
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sink.AddSample([]string{"consul", "raft", "leader", "lastContact"}, float32(45.32))
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sink.AddSampleWithLabels([]string{"consul", "raft", "commitTime"}, float32(26.34), labels)
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var collected metricdata.ResourceMetrics
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err = reader.Collect(ctx, &collected)
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require.NoError(t, err)
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isSame(t, expectedSinkMetrics, collected)
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}
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func TestOTELSink_Race(t *testing.T) {
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reader := metric.NewManualReader()
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ctx := context.Background()
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opts := &OTELSinkOpts{
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Ctx: ctx,
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Reader: reader,
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Labels: map[string]string{
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"node_id": "test",
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},
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Filters: []string{"test"},
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}
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sink, err := NewOTELSink(opts)
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require.NoError(t, err)
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samples := 100
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expectedMetrics := generateSamples(samples)
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wg := &sync.WaitGroup{}
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errCh := make(chan error, samples)
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for k, v := range expectedMetrics {
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wg.Add(1)
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go func(k string, v metricdata.Metrics) {
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defer wg.Done()
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performSinkOperation(sink, k, v, errCh)
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}(k, v)
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}
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wg.Wait()
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require.Empty(t, errCh)
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var collected metricdata.ResourceMetrics
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err = reader.Collect(ctx, &collected)
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require.NoError(t, err)
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isSame(t, expectedMetrics, collected)
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}
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// generateSamples generates n of each gauges, counter and histogram measurements to use for test purposes.
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func generateSamples(n int) map[string]metricdata.Metrics {
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generated := make(map[string]metricdata.Metrics, 3*n)
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for i := 0; i < n; i++ {
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v := 12.3
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k := fmt.Sprintf("consul.test.gauges.%d", i)
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generated[k] = metricdata.Metrics{
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Name: k,
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Data: metricdata.Gauge[float64]{
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DataPoints: []metricdata.DataPoint[float64]{
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{
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Attributes: *attribute.EmptySet(),
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Value: float64(float32(v)),
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},
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},
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},
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}
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}
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for i := 0; i < n; i++ {
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v := 22.23
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k := fmt.Sprintf("consul.test.sum.%d", i)
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generated[k] = metricdata.Metrics{
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Name: k,
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Data: metricdata.Sum[float64]{
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DataPoints: []metricdata.DataPoint[float64]{
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{
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Attributes: *attribute.EmptySet(),
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Value: float64(float32(v)),
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},
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},
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},
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}
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}
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for i := 0; i < n; i++ {
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v := 13.24
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k := fmt.Sprintf("consul.test.hist.%d", i)
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generated[k] = metricdata.Metrics{
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Name: k,
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Data: metricdata.Histogram[float64]{
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DataPoints: []metricdata.HistogramDataPoint[float64]{
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{
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Attributes: *attribute.EmptySet(),
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Sum: float64(float32(v)),
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Max: metricdata.NewExtrema(float64(float32(v))),
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Min: metricdata.NewExtrema(float64(float32(v))),
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Count: 1,
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},
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},
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},
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}
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}
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return generated
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}
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// performSinkOperation emits a measurement using the OTELSink and calls wg.Done() when completed.
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func performSinkOperation(sink *OTELSink, k string, v metricdata.Metrics, errCh chan error) {
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key := strings.Split(k, ".")
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data := v.Data
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switch data.(type) {
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case metricdata.Gauge[float64]:
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gauge, ok := data.(metricdata.Gauge[float64])
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if !ok {
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errCh <- fmt.Errorf("unexpected type assertion error for key: %s", key)
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}
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sink.SetGauge(key, float32(gauge.DataPoints[0].Value))
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case metricdata.Sum[float64]:
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sum, ok := data.(metricdata.Sum[float64])
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if !ok {
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errCh <- fmt.Errorf("unexpected type assertion error for key: %s", key)
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}
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sink.IncrCounter(key, float32(sum.DataPoints[0].Value))
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case metricdata.Histogram[float64]:
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hist, ok := data.(metricdata.Histogram[float64])
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if !ok {
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errCh <- fmt.Errorf("unexpected type assertion error for key: %s", key)
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}
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sink.AddSample(key, float32(hist.DataPoints[0].Sum))
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}
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}
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func isSame(t *testing.T, expectedMap map[string]metricdata.Metrics, actual metricdata.ResourceMetrics) {
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// Validate resource
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require.Equal(t, expectedResource, actual.Resource)
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// Validate Metrics
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require.NotEmpty(t, actual.ScopeMetrics)
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actualMetrics := actual.ScopeMetrics[0].Metrics
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require.Equal(t, len(expectedMap), len(actualMetrics))
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for _, actual := range actualMetrics {
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name := actual.Name
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expected, ok := expectedMap[actual.Name]
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require.True(t, ok, "metric key %s should be in expectedMetrics map", name)
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isSameMetrics(t, expected, actual)
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}
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}
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// compareMetrics verifies if two metricdata.Metric objects are equal by ignoring the time component.
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// avoid duplicate datapoint values to ensure predictable order of sort.
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func isSameMetrics(t *testing.T, expected metricdata.Metrics, actual metricdata.Metrics) {
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require.Equal(t, expected.Name, actual.Name, "different .Name field")
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require.Equal(t, expected.Description, actual.Description, "different .Description field")
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require.Equal(t, expected.Unit, actual.Unit, "different .Unit field")
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switch expectedData := expected.Data.(type) {
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case metricdata.Gauge[float64]:
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actualData, ok := actual.Data.(metricdata.Gauge[float64])
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require.True(t, ok, "different metric types: expected metricdata.Gauge[float64]")
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isSameDataPoint(t, expectedData.DataPoints, actualData.DataPoints)
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case metricdata.Sum[float64]:
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actualData, ok := actual.Data.(metricdata.Sum[float64])
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require.True(t, ok, "different metric types: expected metricdata.Sum[float64]")
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isSameDataPoint(t, expectedData.DataPoints, actualData.DataPoints)
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case metricdata.Histogram[float64]:
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actualData, ok := actual.Data.(metricdata.Histogram[float64])
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require.True(t, ok, "different metric types: expected metricdata.Histogram")
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isSameHistogramData(t, expectedData.DataPoints, actualData.DataPoints)
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}
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}
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func isSameDataPoint(t *testing.T, expected []metricdata.DataPoint[float64], actual []metricdata.DataPoint[float64]) {
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require.Equal(t, len(expected), len(actual), "different datapoints length")
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// Sort for predictable data in order of lowest value.
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sort.Slice(expected, func(i, j int) bool {
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return expected[i].Value < expected[j].Value
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})
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sort.Slice(actual, func(i, j int) bool {
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return expected[i].Value < expected[j].Value
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})
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// Only verify the value and attributes.
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for i, dp := range expected {
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currActual := actual[i]
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require.Equal(t, dp.Value, currActual.Value, "different datapoint value")
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require.Equal(t, dp.Attributes, currActual.Attributes, "different attributes")
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}
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}
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func isSameHistogramData(t *testing.T, expected []metricdata.HistogramDataPoint[float64], actual []metricdata.HistogramDataPoint[float64]) {
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require.Equal(t, len(expected), len(actual), "different histogram datapoint length")
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// Sort for predictable data in order of lowest sum.
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sort.Slice(expected, func(i, j int) bool {
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return expected[i].Sum < expected[j].Sum
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})
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sort.Slice(actual, func(i, j int) bool {
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return expected[i].Sum < expected[j].Sum
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})
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// Only verify the value and the attributes.
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for i, dp := range expected {
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currActual := actual[i]
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require.Equal(t, dp.Sum, currActual.Sum, "different histogram datapoint .Sum value")
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require.Equal(t, dp.Max, currActual.Max, "different histogram datapoint .Max value")
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require.Equal(t, dp.Min, currActual.Min, "different histogram datapoint .Min value")
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require.Equal(t, dp.Count, currActual.Count, "different histogram datapoint .Count value")
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require.Equal(t, dp.Attributes, currActual.Attributes, "different attributes")
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}
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}
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