package prometheus

import (
	"math"
	"testing"
	"time"

	"github.com/grafana/grafana-plugin-sdk-go/backend"
	"github.com/grafana/grafana/pkg/tsdb/intervalv2"
	apiv1 "github.com/prometheus/client_golang/api/prometheus/v1"
	p "github.com/prometheus/common/model"
	"github.com/stretchr/testify/require"
)

var now = time.Now()

func TestPrometheus_timeSeriesQuery_formatLeged(t *testing.T) {
	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("use query expr when no labels", func(t *testing.T) {
		metric := map[p.LabelName]p.LabelValue{}

		query := &PrometheusQuery{
			LegendFormat: "",
			Expr:         `{job="grafana"}`,
		}

		require.Equal(t, `{job="grafana"}`, formatLegend(metric, query))
	})
}

func TestPrometheus_timeSeriesQuery_parseTimeSeriesQuery(t *testing.T) {
	service := Service{
		intervalCalculator: intervalv2.NewCalculator(),
	}

	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
		}`

		query := &backend.QueryDataRequest{
			Queries: []backend.DataQuery{
				{
					JSON:      []byte(queryJson),
					TimeRange: timeRange,
					RefID:     "A",
				},
			},
			Headers: map[string]string{
				"FromAlert": "true",
			},
		}

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, false, models[0].ExemplarQuery)
	})

	t.Run("parsing query model with step", func(t *testing.T) {
		timeRange := backend.TimeRange{
			From: now,
			To:   now.Add(12 * time.Hour),
		}

		query := queryContext(`{
			"expr": "go_goroutines",
			"format": "time_series",
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		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) {
		timeRange := backend.TimeRange{
			From: now,
			To:   now.Add(1 * time.Hour),
		}

		query := queryContext(`{
			"expr": "go_goroutines",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		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) {
		timeRange := backend.TimeRange{
			From: now,
			To:   now.Add(48 * time.Hour),
		}

		query := queryContext(`{
			"expr": "go_goroutines",
			"format": "time_series",
			"intervalFactor": 10,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		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) {
		timeRange := backend.TimeRange{
			From: now,
			To:   now.Add(48 * time.Hour),
		}

		query := queryContext(`{
			"expr": "go_goroutines",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, time.Minute*2, models[0].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),
		}

		query := queryContext(`{
			"expr": "go_goroutines",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{
			TimeInterval: "240s",
		}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, time.Minute*4, models[0].Step)
	})

	t.Run("parsing query model with $__interval variable", func(t *testing.T) {
		timeRange := backend.TimeRange{
			From: now,
			To:   now.Add(48 * time.Hour),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__interval]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [2m]})", models[0].Expr)
	})

	t.Run("parsing query model with ${__interval} variable", func(t *testing.T) {
		timeRange := backend.TimeRange{
			From: now,
			To:   now.Add(48 * time.Hour),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [${__interval}]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [2m]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__interval_ms]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [120000]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__interval_ms]}) + rate(ALERTS{job=\"test\" [$__interval]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [120000]}) + rate(ALERTS{job=\"test\" [2m]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [${__interval_ms}]}) + rate(ALERTS{job=\"test\" [${__interval}]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [120000]}) + rate(ALERTS{job=\"test\" [2m]})", models[0].Expr)
	})

	t.Run("parsing query model with $__range variable", func(t *testing.T) {
		timeRange := backend.TimeRange{
			From: now,
			To:   now.Add(48 * time.Hour),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__range]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [172800s]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__range_s]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [172800]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [${__range_s}s]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [172800s]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__range_s]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [0]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__range_s]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [1]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__range_ms]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [172800000]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__range_ms]})",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [20]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__rate_interval]})",
			"format": "time_series",
			"intervalFactor": 1,
			"interval": "5m",
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [5m15s]})", models[0].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),
		}

		query := queryContext(`{
			"expr": "rate(ALERTS{job=\"test\" [$__rate_interval]})",
			"format": "time_series",
			"intervalFactor": 1,
			"interval": "$__rate_interval",
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, "rate(ALERTS{job=\"test\" [1m0s]})", models[0].Expr)
		require.Equal(t, 1*time.Minute, models[0].Step)
	})

	t.Run("parsing query model of range query", func(t *testing.T) {
		timeRange := backend.TimeRange{
			From: now,
			To:   now.Add(48 * time.Hour),
		}

		query := queryContext(`{
			"expr": "go_goroutines",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A",
			"range": true
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, true, models[0].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),
		}

		query := queryContext(`{
			"expr": "go_goroutines",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A",
			"range": true,
			"instant": true
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, true, models[0].RangeQuery)
		require.Equal(t, true, models[0].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),
		}

		query := queryContext(`{
			"expr": "go_goroutines",
			"format": "time_series",
			"intervalFactor": 1,
			"refId": "A"
		}`, timeRange)

		dsInfo := &DatasourceInfo{}
		models, err := service.parseTimeSeriesQuery(query, dsInfo)
		require.NoError(t, err)
		require.Equal(t, true, models[0].RangeQuery)
	})
}

func TestPrometheus_parseTimeSeriesResponse(t *testing.T) {
	t.Run("exemplars response should be sampled and parsed normally", func(t *testing.T) {
		value := make(map[TimeSeriesQueryType]interface{})
		exemplars := []apiv1.ExemplarQueryResult{
			{
				SeriesLabels: p.LabelSet{
					"__name__": "tns_request_duration_seconds_bucket",
					"instance": "app:80",
					"job":      "tns/app",
				},
				Exemplars: []apiv1.Exemplar{
					{
						Labels:    p.LabelSet{"traceID": "test1"},
						Value:     0.003535405,
						Timestamp: p.TimeFromUnixNano(time.Now().Add(-2 * time.Minute).UnixNano()),
					},
					{
						Labels:    p.LabelSet{"traceID": "test2"},
						Value:     0.005555605,
						Timestamp: p.TimeFromUnixNano(time.Now().Add(-4 * time.Minute).UnixNano()),
					},
					{
						Labels:    p.LabelSet{"traceID": "test3"},
						Value:     0.007545445,
						Timestamp: p.TimeFromUnixNano(time.Now().Add(-6 * time.Minute).UnixNano()),
					},
					{
						Labels:    p.LabelSet{"traceID": "test4"},
						Value:     0.009545445,
						Timestamp: p.TimeFromUnixNano(time.Now().Add(-7 * time.Minute).UnixNano()),
					},
				},
			},
		}

		value[ExemplarQueryType] = exemplars
		query := &PrometheusQuery{
			LegendFormat: "legend {{app}}",
		}
		res, err := parseTimeSeriesResponse(value, query)
		require.NoError(t, err)

		// Test fields
		require.Len(t, res, 1)
		require.Equal(t, res[0].Name, "exemplar")
		require.Equal(t, res[0].Fields[0].Name, "Time")
		require.Equal(t, res[0].Fields[1].Name, "Value")
		require.Len(t, res[0].Fields, 6)

		// Test correct values (sampled to 2)
		require.Equal(t, res[0].Fields[1].Len(), 2)
		require.Equal(t, res[0].Fields[1].At(0), 0.009545445)
		require.Equal(t, res[0].Fields[1].At(1), 0.003535405)
	})

	t.Run("matrix 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 := make(map[TimeSeriesQueryType]interface{})
		value[RangeQueryType] = p.Matrix{
			&p.SampleStream{
				Metric: p.Metric{"app": "Application", "tag2": "tag2"},
				Values: values,
			},
		}
		query := &PrometheusQuery{
			LegendFormat: "legend {{app}}",
			Step:         1 * time.Second,
			Start:        time.Unix(1, 0).UTC(),
			End:          time.Unix(5, 0).UTC(),
			UtcOffsetSec: 0,
		}
		res, err := parseTimeSeriesResponse(value, query)
		require.NoError(t, err)

		require.Len(t, res, 1)
		require.Equal(t, res[0].Name, "legend Application")
		require.Len(t, res[0].Fields, 2)
		require.Len(t, res[0].Fields[0].Labels, 0)
		require.Equal(t, res[0].Fields[0].Name, "Time")
		require.Len(t, res[0].Fields[1].Labels, 2)
		require.Equal(t, res[0].Fields[1].Labels.String(), "app=Application, tag2=tag2")
		require.Equal(t, res[0].Fields[1].Name, "Value")
		require.Equal(t, res[0].Fields[1].Config.DisplayNameFromDS, "legend Application")

		// Ensure the timestamps are UTC zoned
		testValue := res[0].Fields[0].At(0)
		require.Equal(t, "UTC", testValue.(time.Time).Location().String())
	})

	t.Run("matrix response with missed data points should be parsed correctly", func(t *testing.T) {
		values := []p.SamplePair{
			{Value: 1, Timestamp: 1000},
			{Value: 4, Timestamp: 4000},
		}
		value := make(map[TimeSeriesQueryType]interface{})
		value[RangeQueryType] = p.Matrix{
			&p.SampleStream{
				Metric: p.Metric{"app": "Application", "tag2": "tag2"},
				Values: values,
			},
		}
		query := &PrometheusQuery{
			LegendFormat: "",
			Step:         1 * time.Second,
			Start:        time.Unix(1, 0).UTC(),
			End:          time.Unix(4, 0).UTC(),
			UtcOffsetSec: 0,
		}
		res, err := parseTimeSeriesResponse(value, query)

		require.NoError(t, err)
		require.Len(t, res, 1)
		require.Equal(t, res[0].Fields[0].Len(), 2)
		require.Equal(t, time.Unix(1, 0).UTC(), res[0].Fields[0].At(0))
		require.Equal(t, time.Unix(4, 0).UTC(), res[0].Fields[0].At(1))
		require.Equal(t, res[0].Fields[1].Len(), 2)
		require.Equal(t, float64(1), *res[0].Fields[1].At(0).(*float64))
		require.Equal(t, float64(4), *res[0].Fields[1].At(1).(*float64))
	})

	t.Run("matrix response with from alerting missed data points should be parsed correctly", func(t *testing.T) {
		values := []p.SamplePair{
			{Value: 1, Timestamp: 1000},
			{Value: 4, Timestamp: 4000},
		}
		value := make(map[TimeSeriesQueryType]interface{})
		value[RangeQueryType] = p.Matrix{
			&p.SampleStream{
				Metric: p.Metric{"app": "Application", "tag2": "tag2"},
				Values: values,
			},
		}
		query := &PrometheusQuery{
			LegendFormat: "",
			Step:         1 * time.Second,
			Start:        time.Unix(1, 0).UTC(),
			End:          time.Unix(4, 0).UTC(),
			UtcOffsetSec: 0,
		}
		res, err := parseTimeSeriesResponse(value, query)

		require.NoError(t, err)
		require.Len(t, res, 1)
		require.Equal(t, res[0].Name, "{app=\"Application\", tag2=\"tag2\"}")
		require.Len(t, res[0].Fields, 2)
		require.Len(t, res[0].Fields[0].Labels, 0)
		require.Equal(t, res[0].Fields[0].Name, "Time")
		require.Len(t, res[0].Fields[1].Labels, 2)
		require.Equal(t, res[0].Fields[1].Labels.String(), "app=Application, tag2=tag2")
		require.Equal(t, res[0].Fields[1].Name, "Value")
		require.Equal(t, res[0].Fields[1].Config.DisplayNameFromDS, "{app=\"Application\", tag2=\"tag2\"}")
	})

	t.Run("matrix response with NaN value should be changed to null", func(t *testing.T) {
		value := make(map[TimeSeriesQueryType]interface{})
		value[RangeQueryType] = p.Matrix{
			&p.SampleStream{
				Metric: p.Metric{"app": "Application"},
				Values: []p.SamplePair{
					{Value: p.SampleValue(math.NaN()), Timestamp: 1000},
				},
			},
		}
		query := &PrometheusQuery{
			LegendFormat: "",
			Step:         1 * time.Second,
			Start:        time.Unix(1, 0).UTC(),
			End:          time.Unix(4, 0).UTC(),
			UtcOffsetSec: 0,
		}
		res, err := parseTimeSeriesResponse(value, query)
		require.NoError(t, err)

		var nilPointer *float64
		require.Equal(t, res[0].Fields[1].Name, "Value")
		require.Equal(t, res[0].Fields[1].At(0), nilPointer)
	})

	t.Run("vector response should be parsed normally", func(t *testing.T) {
		value := make(map[TimeSeriesQueryType]interface{})
		value[RangeQueryType] = p.Vector{
			&p.Sample{
				Metric:    p.Metric{"app": "Application", "tag2": "tag2"},
				Value:     1,
				Timestamp: 1000,
			},
		}
		query := &PrometheusQuery{
			LegendFormat: "legend {{app}}",
		}
		res, err := parseTimeSeriesResponse(value, query)
		require.NoError(t, err)

		require.Len(t, res, 1)
		require.Equal(t, res[0].Name, "legend Application")
		require.Len(t, res[0].Fields, 2)
		require.Len(t, res[0].Fields[0].Labels, 0)
		require.Equal(t, res[0].Fields[0].Name, "Time")
		require.Equal(t, res[0].Fields[0].Name, "Time")
		require.Len(t, res[0].Fields[1].Labels, 2)
		require.Equal(t, res[0].Fields[1].Labels.String(), "app=Application, tag2=tag2")
		require.Equal(t, res[0].Fields[1].Name, "Value")
		require.Equal(t, res[0].Fields[1].Config.DisplayNameFromDS, "legend Application")

		// Ensure the timestamps are UTC zoned
		testValue := res[0].Fields[0].At(0)
		require.Equal(t, "UTC", testValue.(time.Time).Location().String())
	})

	t.Run("scalar response should be parsed normally", func(t *testing.T) {
		value := make(map[TimeSeriesQueryType]interface{})
		value[RangeQueryType] = &p.Scalar{
			Value:     1,
			Timestamp: 1000,
		}

		query := &PrometheusQuery{}
		res, err := parseTimeSeriesResponse(value, query)
		require.NoError(t, err)

		require.Len(t, res, 1)
		require.Equal(t, res[0].Name, "1")
		require.Len(t, res[0].Fields, 2)
		require.Len(t, res[0].Fields[0].Labels, 0)
		require.Equal(t, res[0].Fields[0].Name, "Time")
		require.Equal(t, res[0].Fields[1].Name, "Value")
		require.Equal(t, res[0].Fields[1].Config.DisplayNameFromDS, "1")

		// Ensure the timestamps are UTC zoned
		testValue := res[0].Fields[0].At(0)
		require.Equal(t, "UTC", testValue.(time.Time).Location().String())
	})
}

func queryContext(json string, timeRange backend.TimeRange) *backend.QueryDataRequest {
	return &backend.QueryDataRequest{
		Queries: []backend.DataQuery{
			{
				JSON:      []byte(json),
				TimeRange: timeRange,
				RefID:     "A",
			},
		},
	}
}