mirror of
https://github.com/grafana/grafana.git
synced 2024-12-01 13:09:22 -06:00
192 lines
5.3 KiB
Go
192 lines
5.3 KiB
Go
package prometheus
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import (
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"testing"
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"time"
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"github.com/grafana/grafana/pkg/components/simplejson"
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"github.com/grafana/grafana/pkg/models"
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"github.com/grafana/grafana/pkg/plugins"
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p "github.com/prometheus/common/model"
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"github.com/stretchr/testify/require"
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)
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func TestPrometheus(t *testing.T) {
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dsInfo := &models.DataSource{
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JsonData: simplejson.New(),
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}
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plug, err := NewExecutor(dsInfo)
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executor := plug.(*PrometheusExecutor)
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require.NoError(t, err)
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t.Run("converting metric name", func(t *testing.T) {
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metric := map[p.LabelName]p.LabelValue{
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p.LabelName("app"): p.LabelValue("backend"),
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p.LabelName("device"): p.LabelValue("mobile"),
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}
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query := &PrometheusQuery{
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LegendFormat: "legend {{app}} {{ device }} {{broken}}",
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}
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require.Equal(t, "legend backend mobile ", formatLegend(metric, query))
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})
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t.Run("build full series name", func(t *testing.T) {
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metric := map[p.LabelName]p.LabelValue{
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p.LabelName(p.MetricNameLabel): p.LabelValue("http_request_total"),
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p.LabelName("app"): p.LabelValue("backend"),
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p.LabelName("device"): p.LabelValue("mobile"),
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}
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query := &PrometheusQuery{
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LegendFormat: "",
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}
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require.Equal(t, `http_request_total{app="backend", device="mobile"}`, formatLegend(metric, query))
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})
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t.Run("parsing query model with step", func(t *testing.T) {
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json := `{
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"expr": "go_goroutines",
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"format": "time_series",
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"refId": "A"
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}`
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jsonModel, _ := simplejson.NewJson([]byte(json))
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queryModels := []plugins.DataSubQuery{
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{Model: jsonModel},
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}
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timeRange := plugins.NewDataTimeRange("12h", "now")
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queryContext := plugins.DataQuery{
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Queries: queryModels,
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TimeRange: &timeRange,
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}
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models, err := executor.parseQuery(dsInfo, queryContext)
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require.NoError(t, err)
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require.Equal(t, time.Second*30, models[0].Step)
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})
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t.Run("parsing query model without step parameter", func(t *testing.T) {
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json := `{
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"expr": "go_goroutines",
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"format": "time_series",
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"intervalFactor": 1,
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"refId": "A"
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}`
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jsonModel, _ := simplejson.NewJson([]byte(json))
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queryModels := []plugins.DataSubQuery{
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{Model: jsonModel},
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}
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timeRange := plugins.NewDataTimeRange("48h", "now")
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queryContext := plugins.DataQuery{
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Queries: queryModels,
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TimeRange: &timeRange,
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}
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models, err := executor.parseQuery(dsInfo, queryContext)
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require.NoError(t, err)
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require.Equal(t, time.Minute*2, models[0].Step)
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timeRange = plugins.NewDataTimeRange("1h", "now")
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queryContext.TimeRange = &timeRange
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models, err = executor.parseQuery(dsInfo, queryContext)
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require.NoError(t, err)
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require.Equal(t, time.Second*15, models[0].Step)
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})
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t.Run("parsing query model with high intervalFactor", func(t *testing.T) {
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json := `{
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"expr": "go_goroutines",
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"format": "time_series",
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"intervalFactor": 10,
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"refId": "A"
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}`
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jsonModel, _ := simplejson.NewJson([]byte(json))
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queryModels := []plugins.DataSubQuery{
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{Model: jsonModel},
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}
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timeRange := plugins.NewDataTimeRange("48h", "now")
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queryContext := plugins.DataQuery{
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TimeRange: &timeRange,
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Queries: queryModels,
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}
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models, err := executor.parseQuery(dsInfo, queryContext)
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require.NoError(t, err)
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require.Equal(t, time.Minute*20, models[0].Step)
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})
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t.Run("parsing query model with low intervalFactor", func(t *testing.T) {
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json := `{
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"expr": "go_goroutines",
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"format": "time_series",
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"intervalFactor": 1,
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"refId": "A"
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}`
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jsonModel, _ := simplejson.NewJson([]byte(json))
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queryModels := []plugins.DataSubQuery{
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{Model: jsonModel},
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}
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timeRange := plugins.NewDataTimeRange("48h", "now")
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queryContext := plugins.DataQuery{
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TimeRange: &timeRange,
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Queries: queryModels,
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}
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models, err := executor.parseQuery(dsInfo, queryContext)
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require.NoError(t, err)
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require.Equal(t, time.Minute*2, models[0].Step)
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})
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}
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func TestParseResponse(t *testing.T) {
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t.Run("value is not of type matrix", func(t *testing.T) {
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queryRes := plugins.DataQueryResult{}
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value := p.Vector{}
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res, err := parseResponse(value, nil)
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require.Equal(t, queryRes, res)
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require.Error(t, err)
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})
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t.Run("response should be parsed normally", func(t *testing.T) {
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values := []p.SamplePair{
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{Value: 1, Timestamp: 1000},
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{Value: 2, Timestamp: 2000},
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{Value: 3, Timestamp: 3000},
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{Value: 4, Timestamp: 4000},
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{Value: 5, Timestamp: 5000},
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}
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value := p.Matrix{
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&p.SampleStream{
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Metric: p.Metric{"app": "Application", "tag2": "tag2"},
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Values: values,
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},
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}
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query := &PrometheusQuery{
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LegendFormat: "legend {{app}}",
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}
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res, err := parseResponse(value, query)
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require.NoError(t, err)
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decoded, _ := res.Dataframes.Decoded()
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require.Len(t, decoded, 1)
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require.Equal(t, decoded[0].Name, "legend Application")
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require.Len(t, decoded[0].Fields, 2)
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require.Len(t, decoded[0].Fields[0].Labels, 0)
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require.Equal(t, decoded[0].Fields[0].Name, "time")
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require.Len(t, decoded[0].Fields[1].Labels, 2)
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require.Equal(t, decoded[0].Fields[1].Labels.String(), "app=Application, tag2=tag2")
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require.Equal(t, decoded[0].Fields[1].Name, "value")
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require.Equal(t, decoded[0].Fields[1].Config.DisplayNameFromDS, "legend Application")
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// Ensure the timestamps are UTC zoned
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testValue := decoded[0].Fields[0].At(0)
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require.Equal(t, "UTC", testValue.(time.Time).Location().String())
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})
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}
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