mirror of
https://github.com/grafana/grafana.git
synced 2025-01-24 15:27:01 -06:00
848 lines
24 KiB
Go
848 lines
24 KiB
Go
package models_test
|
|
|
|
import (
|
|
"context"
|
|
"fmt"
|
|
"reflect"
|
|
"testing"
|
|
"time"
|
|
|
|
"github.com/grafana/grafana-plugin-sdk-go/backend"
|
|
sdkapi "github.com/grafana/grafana-plugin-sdk-go/experimental/apis/data/v0alpha1"
|
|
"github.com/grafana/grafana-plugin-sdk-go/experimental/schemabuilder"
|
|
"github.com/stretchr/testify/require"
|
|
"go.opentelemetry.io/otel"
|
|
|
|
"github.com/grafana/grafana/pkg/promlib/intervalv2"
|
|
"github.com/grafana/grafana/pkg/promlib/models"
|
|
)
|
|
|
|
var (
|
|
now = time.Now()
|
|
intervalCalculator = intervalv2.NewCalculator()
|
|
tracer = otel.Tracer("instrumentation/package/name")
|
|
)
|
|
|
|
func TestParse(t *testing.T) {
|
|
_, span := tracer.Start(context.Background(), "operation")
|
|
defer span.End()
|
|
t.Run("parsing query from unified alerting", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(12 * time.Hour),
|
|
}
|
|
|
|
queryJson := `{
|
|
"expr": "go_goroutines",
|
|
"refId": "A",
|
|
"exemplar": true
|
|
}`
|
|
|
|
q := backend.DataQuery{
|
|
JSON: []byte(queryJson),
|
|
TimeRange: timeRange,
|
|
RefID: "A",
|
|
}
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, true, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, false, res.ExemplarQuery)
|
|
})
|
|
|
|
t.Run("parsing query model with step", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(12 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "go_goroutines",
|
|
"format": "time_series",
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, time.Second*30, res.Step)
|
|
})
|
|
|
|
t.Run("parsing query model without step parameter", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(1 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "go_goroutines",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, time.Second*15, res.Step)
|
|
})
|
|
|
|
t.Run("parsing query model with high intervalFactor", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "go_goroutines",
|
|
"format": "time_series",
|
|
"intervalFactor": 10,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, time.Minute*20, res.Step)
|
|
})
|
|
|
|
t.Run("parsing query model with low intervalFactor", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "go_goroutines",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, time.Minute*2, res.Step)
|
|
})
|
|
|
|
t.Run("parsing query model specified scrape-interval in the data source", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "go_goroutines",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "240s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, time.Minute*4, res.Step)
|
|
})
|
|
|
|
t.Run("parsing query model with $__interval variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__interval]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"intervalMs": 60000,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [2m]})", res.Expr)
|
|
require.Equal(t, 120*time.Second, res.Step)
|
|
})
|
|
|
|
t.Run("parsing query model with ${__interval} variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [${__interval}]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"interval": "1m",
|
|
"intervalMs": 60000,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [2m]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__interval_ms variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__interval_ms]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"intervalMs": 60000,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [120000]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__interval_ms and $__interval variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__interval_ms]}) + rate(ALERTS{job=\"test\" [$__interval]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"intervalMs": 60000,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [120000]}) + rate(ALERTS{job=\"test\" [2m]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with ${__interval_ms} and ${__interval} variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [${__interval_ms}]}) + rate(ALERTS{job=\"test\" [${__interval}]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"intervalMs": 60000,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [120000]}) + rate(ALERTS{job=\"test\" [2m]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__range variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__range]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [172800s]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__range_s variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__range_s]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [172800]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with ${__range_s} variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [${__range_s}s]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [172800s]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__range_s variable below 0.5s", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(40 * time.Millisecond),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__range_s]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [0]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__range_s variable between 1-0.5s", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(800 * time.Millisecond),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__range_s]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [1]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__range_ms variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__range_ms]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [172800000]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__range_ms variable below 1s", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(20 * time.Millisecond),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__range_ms]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [20]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__rate_interval variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(5 * time.Minute),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__rate_interval]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"interval": "5m",
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [20m0s]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__rate_interval variable in expr and interval", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(5 * time.Minute),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__rate_interval]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"interval": "$__rate_interval",
|
|
"refId": "A"
|
|
}`, timeRange, 1*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [1m0s]})", res.Expr)
|
|
require.Equal(t, 1*time.Minute, res.Step)
|
|
})
|
|
|
|
t.Run("parsing query model with $__rate_interval_ms variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__rate_interval_ms]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, 2*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [135000]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with $__rate_interval_ms and $__rate_interval variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [$__rate_interval_ms]}) + rate(ALERTS{job=\"test\" [$__rate_interval]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, 2*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [135000]}) + rate(ALERTS{job=\"test\" [2m15s]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model with legacy datasource reference", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
// query with legacy datasource reference
|
|
q := queryContext(`{
|
|
"datasource": "hello",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, 2*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "A", res.RefId)
|
|
})
|
|
|
|
t.Run("parsing query model with ${__rate_interval_ms} and ${__rate_interval} variable", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "rate(ALERTS{job=\"test\" [${__rate_interval_ms}]}) + rate(ALERTS{job=\"test\" [${__rate_interval}]})",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, 2*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "rate(ALERTS{job=\"test\" [135000]}) + rate(ALERTS{job=\"test\" [2m15s]})", res.Expr)
|
|
})
|
|
|
|
t.Run("parsing query model of range query", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "go_goroutines",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A",
|
|
"range": true
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, true, res.RangeQuery)
|
|
})
|
|
|
|
t.Run("parsing query model of range and instant query", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "go_goroutines",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A",
|
|
"range": true,
|
|
"instant": true
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, true, res.RangeQuery)
|
|
require.Equal(t, true, res.InstantQuery)
|
|
})
|
|
|
|
t.Run("parsing query model of with no query type", func(t *testing.T) {
|
|
timeRange := backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(48 * time.Hour),
|
|
}
|
|
|
|
q := queryContext(`{
|
|
"expr": "go_goroutines",
|
|
"format": "time_series",
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, timeRange, time.Duration(1)*time.Minute)
|
|
|
|
res, err := models.Parse(span, q, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, true, res.RangeQuery)
|
|
})
|
|
}
|
|
|
|
func TestRateInterval(t *testing.T) {
|
|
_, span := tracer.Start(context.Background(), "operation")
|
|
defer span.End()
|
|
type args struct {
|
|
expr string
|
|
interval string
|
|
intervalMs int64
|
|
dsScrapeInterval string
|
|
timeRange *backend.TimeRange
|
|
}
|
|
tests := []struct {
|
|
name string
|
|
args args
|
|
want *models.Query
|
|
}{
|
|
{
|
|
name: "intervalMs 100s, minStep override 150s and scrape interval 30s",
|
|
args: args{
|
|
expr: "rate(rpc_durations_seconds_count[$__rate_interval])",
|
|
interval: "150s",
|
|
intervalMs: 100000,
|
|
dsScrapeInterval: "30s",
|
|
},
|
|
want: &models.Query{
|
|
Expr: "rate(rpc_durations_seconds_count[10m0s])",
|
|
Step: time.Second * 150,
|
|
},
|
|
},
|
|
{
|
|
name: "intervalMs 120s, minStep override 150s and ds scrape interval 30s",
|
|
args: args{
|
|
expr: "rate(rpc_durations_seconds_count[$__rate_interval])",
|
|
interval: "150s",
|
|
intervalMs: 120000,
|
|
dsScrapeInterval: "30s",
|
|
},
|
|
want: &models.Query{
|
|
Expr: "rate(rpc_durations_seconds_count[10m0s])",
|
|
Step: time.Second * 150,
|
|
},
|
|
},
|
|
{
|
|
name: "intervalMs 120s, minStep auto (interval not overridden) and ds scrape interval 30s",
|
|
args: args{
|
|
expr: "rate(rpc_durations_seconds_count[$__rate_interval])",
|
|
interval: "120s",
|
|
intervalMs: 120000,
|
|
dsScrapeInterval: "30s",
|
|
},
|
|
want: &models.Query{
|
|
Expr: "rate(rpc_durations_seconds_count[8m0s])",
|
|
Step: time.Second * 120,
|
|
},
|
|
},
|
|
{
|
|
name: "interval and minStep are automatically calculated and ds scrape interval 30s and time range 1 hour",
|
|
args: args{
|
|
expr: "rate(rpc_durations_seconds_count[$__rate_interval])",
|
|
interval: "30s",
|
|
intervalMs: 30000,
|
|
dsScrapeInterval: "30s",
|
|
timeRange: &backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(1 * time.Hour),
|
|
},
|
|
},
|
|
want: &models.Query{
|
|
Expr: "rate(rpc_durations_seconds_count[2m0s])",
|
|
Step: time.Second * 30,
|
|
},
|
|
},
|
|
{
|
|
name: "minStep is $__rate_interval and ds scrape interval 30s and time range 1 hour",
|
|
args: args{
|
|
expr: "rate(rpc_durations_seconds_count[$__rate_interval])",
|
|
interval: "$__rate_interval",
|
|
intervalMs: 30000,
|
|
dsScrapeInterval: "30s",
|
|
timeRange: &backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(1 * time.Hour),
|
|
},
|
|
},
|
|
want: &models.Query{
|
|
Expr: "rate(rpc_durations_seconds_count[2m0s])",
|
|
Step: time.Minute * 2,
|
|
},
|
|
},
|
|
{
|
|
name: "minStep is $__rate_interval and ds scrape interval 30s and time range 2 days",
|
|
args: args{
|
|
expr: "rate(rpc_durations_seconds_count[$__rate_interval])",
|
|
interval: "$__rate_interval",
|
|
intervalMs: 120000,
|
|
dsScrapeInterval: "30s",
|
|
timeRange: &backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(2 * 24 * time.Hour),
|
|
},
|
|
},
|
|
want: &models.Query{
|
|
Expr: "rate(rpc_durations_seconds_count[2m30s])",
|
|
Step: time.Second * 150,
|
|
},
|
|
},
|
|
{
|
|
name: "minStep is $__rate_interval and ds scrape interval 15s and time range 2 days",
|
|
args: args{
|
|
expr: "rate(rpc_durations_seconds_count[$__rate_interval])",
|
|
interval: "$__interval",
|
|
intervalMs: 120000,
|
|
dsScrapeInterval: "15s",
|
|
timeRange: &backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(2 * 24 * time.Hour),
|
|
},
|
|
},
|
|
want: &models.Query{
|
|
Expr: "rate(rpc_durations_seconds_count[8m0s])",
|
|
Step: time.Second * 120,
|
|
},
|
|
},
|
|
}
|
|
for _, tt := range tests {
|
|
t.Run(tt.name, func(t *testing.T) {
|
|
q := mockQuery(tt.args.expr, tt.args.interval, tt.args.intervalMs, tt.args.timeRange)
|
|
q.MaxDataPoints = 12384
|
|
res, err := models.Parse(span, q, tt.args.dsScrapeInterval, intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, tt.want.Expr, res.Expr)
|
|
require.Equal(t, tt.want.Step, res.Step)
|
|
})
|
|
}
|
|
|
|
t.Run("minStep is auto and ds scrape interval 30s and time range 1 hour", func(t *testing.T) {
|
|
query := backend.DataQuery{
|
|
RefID: "G",
|
|
QueryType: "",
|
|
MaxDataPoints: 1613,
|
|
Interval: 30 * time.Second,
|
|
TimeRange: backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(1 * time.Hour),
|
|
},
|
|
JSON: []byte(`{
|
|
"datasource":{"type":"prometheus","uid":"zxS5e5W4k"},
|
|
"datasourceId":38,
|
|
"editorMode":"code",
|
|
"exemplar":false,
|
|
"expr":"sum(rate(process_cpu_seconds_total[$__rate_interval]))",
|
|
"instant":false,
|
|
"interval":"",
|
|
"intervalMs":30000,
|
|
"key":"Q-f96b6729-c47a-4ea8-8f71-a79774cf9bd5-0",
|
|
"legendFormat":"__auto",
|
|
"maxDataPoints":1613,
|
|
"range":true,
|
|
"refId":"G",
|
|
"requestId":"1G",
|
|
"utcOffsetSec":3600
|
|
}`),
|
|
}
|
|
res, err := models.Parse(span, query, "30s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "sum(rate(process_cpu_seconds_total[2m0s]))", res.Expr)
|
|
require.Equal(t, 30*time.Second, res.Step)
|
|
})
|
|
|
|
t.Run("minStep is auto and ds scrape interval 15s and time range 5 minutes", func(t *testing.T) {
|
|
query := backend.DataQuery{
|
|
RefID: "A",
|
|
QueryType: "",
|
|
MaxDataPoints: 1055,
|
|
Interval: 15 * time.Second,
|
|
TimeRange: backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(5 * time.Minute),
|
|
},
|
|
JSON: []byte(`{
|
|
"datasource": {
|
|
"type": "prometheus",
|
|
"uid": "2z9d6ElGk"
|
|
},
|
|
"editorMode": "code",
|
|
"expr": "sum(rate(cache_requests_total[$__rate_interval]))",
|
|
"legendFormat": "__auto",
|
|
"range": true,
|
|
"refId": "A",
|
|
"exemplar": false,
|
|
"requestId": "1A",
|
|
"utcOffsetSec": 0,
|
|
"interval": "",
|
|
"datasourceId": 508,
|
|
"intervalMs": 15000,
|
|
"maxDataPoints": 1055
|
|
}`),
|
|
}
|
|
res, err := models.Parse(span, query, "15s", intervalCalculator, false, false)
|
|
require.NoError(t, err)
|
|
require.Equal(t, "sum(rate(cache_requests_total[1m0s]))", res.Expr)
|
|
require.Equal(t, 15*time.Second, res.Step)
|
|
})
|
|
}
|
|
|
|
func mockQuery(expr string, interval string, intervalMs int64, timeRange *backend.TimeRange) backend.DataQuery {
|
|
if timeRange == nil {
|
|
timeRange = &backend.TimeRange{
|
|
From: now,
|
|
To: now.Add(1 * time.Hour),
|
|
}
|
|
}
|
|
return backend.DataQuery{
|
|
Interval: time.Duration(intervalMs) * time.Millisecond,
|
|
JSON: []byte(fmt.Sprintf(`{
|
|
"expr": "%s",
|
|
"format": "time_series",
|
|
"interval": "%s",
|
|
"intervalMs": %v,
|
|
"intervalFactor": 1,
|
|
"refId": "A"
|
|
}`, expr, interval, intervalMs)),
|
|
TimeRange: *timeRange,
|
|
RefID: "A",
|
|
}
|
|
}
|
|
|
|
func queryContext(json string, timeRange backend.TimeRange, queryInterval time.Duration) backend.DataQuery {
|
|
return backend.DataQuery{
|
|
Interval: queryInterval,
|
|
JSON: []byte(json),
|
|
TimeRange: timeRange,
|
|
RefID: "A",
|
|
}
|
|
}
|
|
|
|
// AlignTimeRange aligns query range to step and handles the time offset.
|
|
// It rounds start and end down to a multiple of step.
|
|
// Prometheus caching is dependent on the range being aligned with the step.
|
|
// Rounding to the step can significantly change the start and end of the range for larger steps, i.e. a week.
|
|
// In rounding the range to a 1w step the range will always start on a Thursday.
|
|
func TestAlignTimeRange(t *testing.T) {
|
|
type args struct {
|
|
t time.Time
|
|
step time.Duration
|
|
offset int64
|
|
}
|
|
|
|
var monday int64 = 1704672000
|
|
var thursday int64 = 1704326400
|
|
var one_week_min_step = 604800 * time.Second
|
|
|
|
tests := []struct {
|
|
name string
|
|
args args
|
|
want time.Time
|
|
}{
|
|
{
|
|
name: "second step",
|
|
args: args{t: time.Unix(1664816826, 0), step: 10 * time.Second, offset: 0},
|
|
want: time.Unix(1664816820, 0).UTC(),
|
|
},
|
|
{name: "millisecond step", args: args{t: time.Unix(1664816825, 5*int64(time.Millisecond)), step: 10 * time.Millisecond, offset: 0}, want: time.Unix(1664816825, 0).UTC()},
|
|
{name: "second step with offset", args: args{t: time.Unix(1664816825, 5*int64(time.Millisecond)), step: 2 * time.Second, offset: -3}, want: time.Unix(1664816825, 0).UTC()},
|
|
// we may not want this functionality in the future but if we change this we break Prometheus caching.
|
|
{
|
|
name: "1w step with range date of Monday that changes the range to a Thursday.",
|
|
args: args{t: time.Unix(monday, 0), step: one_week_min_step, offset: 0},
|
|
want: time.Unix(thursday, 0).UTC(),
|
|
},
|
|
}
|
|
for _, tt := range tests {
|
|
t.Run(tt.name, func(t *testing.T) {
|
|
if got := models.AlignTimeRange(tt.args.t, tt.args.step, tt.args.offset); !reflect.DeepEqual(got, tt.want) {
|
|
t.Errorf("AlignTimeRange() = %v, want %v", got, tt.want)
|
|
}
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestQueryTypeDefinitions(t *testing.T) {
|
|
builder, err := schemabuilder.NewSchemaBuilder(
|
|
schemabuilder.BuilderOptions{
|
|
PluginID: []string{"prometheus"},
|
|
ScanCode: []schemabuilder.CodePaths{{
|
|
BasePackage: "github.com/grafana/grafana/pkg/promlib/models",
|
|
CodePath: "./",
|
|
}},
|
|
Enums: []reflect.Type{
|
|
reflect.TypeOf(models.PromQueryFormatTimeSeries), // pick an example value (not the root)
|
|
reflect.TypeOf(models.QueryEditorModeBuilder),
|
|
},
|
|
})
|
|
require.NoError(t, err)
|
|
err = builder.AddQueries(
|
|
schemabuilder.QueryTypeInfo{
|
|
Name: "default",
|
|
GoType: reflect.TypeOf(&models.PrometheusQueryProperties{}),
|
|
Examples: []sdkapi.QueryExample{
|
|
{
|
|
Name: "simple health check",
|
|
SaveModel: sdkapi.AsUnstructured(
|
|
models.PrometheusQueryProperties{
|
|
Expr: "1+1",
|
|
},
|
|
),
|
|
},
|
|
},
|
|
},
|
|
)
|
|
|
|
require.NoError(t, err)
|
|
builder.UpdateQueryDefinition(t, "./")
|
|
}
|