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26626d9073
* Empty value for unknown Prometheus label (grafana#16041) * Empty value for unknown Prometheus label (grafana#16041) * fix linter
161 lines
3.9 KiB
Go
161 lines
3.9 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/models"
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"github.com/grafana/grafana/pkg/tsdb"
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"github.com/grafana/grafana/pkg/components/simplejson"
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p "github.com/prometheus/common/model"
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. "github.com/smartystreets/goconvey/convey"
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)
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func TestPrometheus(t *testing.T) {
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Convey("Prometheus", t, func() {
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dsInfo := &models.DataSource{
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JsonData: simplejson.New(),
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}
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Convey("converting metric name", func() {
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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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So(formatLegend(metric, query), ShouldEqual, "legend backend mobile ")
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})
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Convey("build full serie name", func() {
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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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So(formatLegend(metric, query), ShouldEqual, `http_request_total{app="backend", device="mobile"}`)
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})
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Convey("parsing query model with step", func() {
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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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queryContext := &tsdb.TsdbQuery{}
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queryModels := []*tsdb.Query{
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{Model: jsonModel},
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}
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Convey("with 48h time range", func() {
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queryContext.TimeRange = tsdb.NewTimeRange("12h", "now")
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models, err := parseQuery(dsInfo, queryModels, queryContext)
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So(err, ShouldBeNil)
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model := models[0]
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So(model.Step, ShouldEqual, time.Second*30)
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})
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})
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Convey("parsing query model without step parameter", func() {
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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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queryContext := &tsdb.TsdbQuery{}
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queryModels := []*tsdb.Query{
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{Model: jsonModel},
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}
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Convey("with 48h time range", func() {
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queryContext.TimeRange = tsdb.NewTimeRange("48h", "now")
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models, err := parseQuery(dsInfo, queryModels, queryContext)
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So(err, ShouldBeNil)
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model := models[0]
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So(model.Step, ShouldEqual, time.Minute*2)
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})
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Convey("with 1h time range", func() {
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queryContext.TimeRange = tsdb.NewTimeRange("1h", "now")
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models, err := parseQuery(dsInfo, queryModels, queryContext)
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So(err, ShouldBeNil)
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model := models[0]
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So(model.Step, ShouldEqual, time.Second*15)
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})
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})
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Convey("parsing query model with intervalFactor", func() {
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Convey("high intervalFactor", func() {
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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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queryContext := &tsdb.TsdbQuery{}
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queryModels := []*tsdb.Query{
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{Model: jsonModel},
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}
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Convey("with 48h time range", func() {
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queryContext.TimeRange = tsdb.NewTimeRange("48h", "now")
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models, err := parseQuery(dsInfo, queryModels, queryContext)
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So(err, ShouldBeNil)
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model := models[0]
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So(model.Step, ShouldEqual, time.Minute*20)
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})
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})
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Convey("low intervalFactor", func() {
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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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queryContext := &tsdb.TsdbQuery{}
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queryModels := []*tsdb.Query{
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{Model: jsonModel},
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}
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Convey("with 48h time range", func() {
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queryContext.TimeRange = tsdb.NewTimeRange("48h", "now")
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models, err := parseQuery(dsInfo, queryModels, queryContext)
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So(err, ShouldBeNil)
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model := models[0]
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So(model.Step, ShouldEqual, time.Minute*2)
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})
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})
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})
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})
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}
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