grafana/pkg/tsdb/prometheus/prometheus_test.go
2021-03-26 16:20:46 +02:00

192 lines
5.3 KiB
Go

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