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package ingester
import (
"testing"
"time"
"epimetheus/internal/metrics"
"github.com/prometheus/prometheus/prompb"
)
func TestNewRemoteWriteIngester(t *testing.T) {
ingester := NewRemoteWriteIngester()
if ingester.client == nil {
t.Error("RemoteWriteIngester.client should not be nil")
}
}
func TestConvertSamplesToTimeSeries(t *testing.T) {
now := time.Now()
samples := []metrics.Sample{
{
MetricName: "test_metric1",
Labels: map[string]string{"env": "prod", "host": "server1"},
Value: 42.5,
Timestamp: now,
},
{
MetricName: "test_metric2",
Labels: map[string]string{"env": "test"},
Value: 100.0,
Timestamp: now.Add(-1 * time.Hour),
},
}
timeSeries := convertSamplesToTimeSeries(samples)
if len(timeSeries) != 2 {
t.Errorf("Expected 2 time series, got %d", len(timeSeries))
}
// Check first time series
ts1 := timeSeries[0]
if len(ts1.Labels) != 3 { // __name__ + 2 custom labels
t.Errorf("Expected 3 labels, got %d", len(ts1.Labels))
}
hasName := false
for _, label := range ts1.Labels {
if label.Name == "__name__" && label.Value == "test_metric1" {
hasName = true
}
}
if !hasName {
t.Error("Missing or incorrect __name__ label")
}
if len(ts1.Samples) != 1 {
t.Errorf("Expected 1 sample, got %d", len(ts1.Samples))
}
if ts1.Samples[0].Value != 42.5 {
t.Errorf("Expected value 42.5, got %f", ts1.Samples[0].Value)
}
}
func TestGenerateHistoricTimeSeries(t *testing.T) {
timestamp := time.Now().Add(-24 * time.Hour)
timeSeries := generateHistoricTimeSeries(timestamp)
if len(timeSeries) == 0 {
t.Error("Expected time series to be generated")
}
// Should contain various metric types
metricNames := make(map[string]bool)
for _, ts := range timeSeries {
for _, label := range ts.Labels {
if label.Name == "__name__" {
metricNames[label.Value] = true
}
}
}
expectedMetrics := []string{
"epimetheus_test_requests_total",
"epimetheus_test_active_connections",
"epimetheus_test_temperature_celsius",
"epimetheus_test_jobs_processed_total",
}
for _, expected := range expectedMetrics {
if !metricNames[expected] {
t.Errorf("Expected metric %s not found", expected)
}
}
}
func TestCreateCounterSeries(t *testing.T) {
baseLabels := []prompb.Label{
{Name: "instance", Value: "test-instance"},
{Name: "job", Value: "test-job"},
}
ts := createCounterSeries("test_counter", baseLabels, 123.45, 1234567890000)
if len(ts.Labels) != 3 { // __name__ + 2 base labels
t.Errorf("Expected 3 labels, got %d", len(ts.Labels))
}
if len(ts.Samples) != 1 {
t.Errorf("Expected 1 sample, got %d", len(ts.Samples))
}
if ts.Samples[0].Value != 123.45 {
t.Errorf("Expected value 123.45, got %f", ts.Samples[0].Value)
}
if ts.Samples[0].Timestamp != 1234567890000 {
t.Errorf("Expected timestamp 1234567890000, got %d", ts.Samples[0].Timestamp)
}
}
func TestCreateGaugeSeries(t *testing.T) {
baseLabels := []prompb.Label{
{Name: "instance", Value: "test-instance"},
}
ts := createGaugeSeries("test_gauge", baseLabels, 67.89, 9876543210000)
if len(ts.Samples) != 1 {
t.Errorf("Expected 1 sample, got %d", len(ts.Samples))
}
if ts.Samples[0].Value != 67.89 {
t.Errorf("Expected value 67.89, got %f", ts.Samples[0].Value)
}
}
func TestGenerateHistogramSeries(t *testing.T) {
baseLabels := []prompb.Label{
{Name: "instance", Value: "test-instance"},
}
timestamp := int64(1234567890000)
series := generateHistogramSeries(baseLabels, timestamp)
if len(series) == 0 {
t.Error("Expected histogram series to be generated")
}
// Should contain buckets, +Inf, sum, and count
metricTypes := make(map[string]int)
for _, ts := range series {
for _, label := range ts.Labels {
if label.Name == "__name__" {
metricTypes[label.Value]++
}
}
}
if metricTypes["epimetheus_test_request_duration_seconds_bucket"] == 0 {
t.Error("Expected histogram buckets")
}
if metricTypes["epimetheus_test_request_duration_seconds_sum"] != 1 {
t.Error("Expected histogram sum")
}
if metricTypes["epimetheus_test_request_duration_seconds_count"] != 1 {
t.Error("Expected histogram count")
}
}
func TestGenerateLabeledCounterSeries(t *testing.T) {
baseLabels := []prompb.Label{
{Name: "instance", Value: "test-instance"},
}
timestamp := int64(1234567890000)
series := generateLabeledCounterSeries(baseLabels, timestamp)
if len(series) == 0 {
t.Error("Expected labeled counter series to be generated")
}
// Should have combinations of job types and statuses
// 3 job types * 2 statuses = 6 series
if len(series) != 6 {
t.Errorf("Expected 6 labeled counter series, got %d", len(series))
}
// Verify label structure
for _, ts := range series {
hasJobType := false
hasStatus := false
for _, label := range ts.Labels {
if label.Name == "job_type" {
hasJobType = true
}
if label.Name == "status" {
hasStatus = true
}
}
if !hasJobType {
t.Error("Expected job_type label")
}
if !hasStatus {
t.Error("Expected status label")
}
}
}
|