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grafana/pkg/promlib/models/query_test.go

847 lines
24 KiB

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, "./")
}