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grafana/pkg/expr/convert_to_full_long_ts_tes...

373 lines
12 KiB

package expr
import (
"testing"
"time"
"github.com/google/go-cmp/cmp"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/stretchr/testify/require"
)
func TestConvertTimeSeriesMultiToFullLong(t *testing.T) {
t.Run("SingleSeriesNoLabels", func(t *testing.T) {
times := []time.Time{
time.Unix(0, 0),
time.Unix(10, 0),
time.Unix(20, 0),
}
values := []float64{1.0, 2.0, 3.0}
input := data.Frames{
data.NewFrame("cpu",
data.NewField("time", nil, times),
data.NewField("cpu", nil, values),
),
}
input[0].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
expected := data.NewFrame("",
data.NewField("time", nil, times),
data.NewField(SQLValueFieldName, nil, []*float64{fp(1.0), fp(2.0), fp(3.0)}),
data.NewField(SQLMetricFieldName, nil, []string{"cpu", "cpu", "cpu"}),
)
expected.Meta = &data.FrameMeta{Type: timeseriesFullLongType}
output, err := ConvertToFullLong(input)
require.NoError(t, err)
require.Len(t, output, 1)
if diff := cmp.Diff(expected, output[0], data.FrameTestCompareOptions()...); diff != "" {
require.FailNowf(t, "Result mismatch (-want +got):%s", diff)
}
})
t.Run("TwoSeriesOneLabel", func(t *testing.T) {
times := []time.Time{
time.Unix(0, 0),
time.Unix(10, 0),
}
input := data.Frames{
data.NewFrame("cpu",
data.NewField("time", nil, times),
data.NewField("cpu", data.Labels{"host": "a"}, []float64{1.0, 2.0}),
),
data.NewFrame("cpu",
data.NewField("time", nil, times),
data.NewField("cpu", data.Labels{"host": "b"}, []float64{3.0, 4.0}),
),
}
input[0].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
input[1].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
expected := data.NewFrame("",
data.NewField("time", nil, []time.Time{
time.Unix(0, 0), time.Unix(0, 0), time.Unix(10, 0), time.Unix(10, 0),
}),
data.NewField(SQLValueFieldName, nil, []*float64{fp(1.0), fp(3.0), fp(2.0), fp(4.0)}),
data.NewField(SQLMetricFieldName, nil, []string{"cpu", "cpu", "cpu", "cpu"}),
data.NewField("host", nil, []*string{sp("a"), sp("b"), sp("a"), sp("b")}),
)
expected.Meta = &data.FrameMeta{Type: timeseriesFullLongType}
output, err := ConvertToFullLong(input)
require.NoError(t, err)
require.Len(t, output, 1)
if diff := cmp.Diff(expected, output[0], data.FrameTestCompareOptions()...); diff != "" {
require.FailNowf(t, "Result mismatch (-want +got):%s", diff)
}
})
t.Run("TwoMetricsWithSharedLabels", func(t *testing.T) {
times := []time.Time{
time.Unix(0, 0),
time.Unix(10, 0),
}
input := data.Frames{
data.NewFrame("cpu",
data.NewField("time", nil, times),
data.NewField("cpu", data.Labels{"host": "a"}, []float64{1.0, 2.0}),
),
data.NewFrame("mem",
data.NewField("time", nil, times),
data.NewField("mem", data.Labels{"host": "a"}, []float64{3.0, 4.0}),
),
}
input[0].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
input[1].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
expected := data.NewFrame("",
data.NewField("time", nil, []time.Time{
time.Unix(0, 0), time.Unix(0, 0), time.Unix(10, 0), time.Unix(10, 0),
}),
data.NewField(SQLValueFieldName, nil, []*float64{fp(1.0), fp(3.0), fp(2.0), fp(4.0)}),
data.NewField(SQLMetricFieldName, nil, []string{"cpu", "mem", "cpu", "mem"}),
data.NewField("host", nil, []*string{sp("a"), sp("a"), sp("a"), sp("a")}),
)
expected.Meta = &data.FrameMeta{Type: timeseriesFullLongType}
output, err := ConvertToFullLong(input)
require.NoError(t, err)
require.Len(t, output, 1)
if diff := cmp.Diff(expected, output[0], data.FrameTestCompareOptions()...); diff != "" {
require.FailNowf(t, "Result mismatch (-want +got):%s", diff)
}
})
t.Run("TwoSeriesSparseLabels", func(t *testing.T) {
times := []time.Time{
time.Unix(0, 0),
time.Unix(10, 0),
}
input := data.Frames{
data.NewFrame("cpu",
data.NewField("time", nil, times),
data.NewField("cpu", data.Labels{"host": "a"}, []float64{1.0, 2.0}),
),
data.NewFrame("cpu",
data.NewField("time", nil, times),
data.NewField("cpu", data.Labels{"host": "b", "env": "prod"}, []float64{3.0, 4.0}),
),
}
input[0].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
input[1].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
expected := data.NewFrame("",
data.NewField("time", nil, []time.Time{
time.Unix(0, 0), time.Unix(0, 0), time.Unix(10, 0), time.Unix(10, 0),
}),
data.NewField(SQLValueFieldName, nil, []*float64{fp(1.0), fp(3.0), fp(2.0), fp(4.0)}),
data.NewField(SQLMetricFieldName, nil, []string{"cpu", "cpu", "cpu", "cpu"}),
data.NewField("env", nil, []*string{nil, sp("prod"), nil, sp("prod")}),
data.NewField("host", nil, []*string{sp("a"), sp("b"), sp("a"), sp("b")}),
)
expected.Meta = &data.FrameMeta{Type: timeseriesFullLongType}
output, err := ConvertToFullLong(input)
require.NoError(t, err)
require.Len(t, output, 1)
if diff := cmp.Diff(expected, output[0], data.FrameTestCompareOptions()...); diff != "" {
require.FailNowf(t, "Result mismatch (-want +got):%s", diff)
}
})
t.Run("TwoSeriesSparseMetrics", func(t *testing.T) {
times := []time.Time{
time.Unix(0, 0),
time.Unix(10, 0),
}
input := data.Frames{
data.NewFrame("cpu",
data.NewField("time", nil, times),
data.NewField("cpu", data.Labels{"host": "a"}, []float64{1.0, 2.0}),
),
data.NewFrame("mem",
data.NewField("time", nil, times),
data.NewField("mem", data.Labels{"host": "b"}, []float64{3.0, 4.0}),
),
}
input[0].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
input[1].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
expected := data.NewFrame("",
data.NewField("time", nil, []time.Time{
time.Unix(0, 0), time.Unix(0, 0), time.Unix(10, 0), time.Unix(10, 0),
}),
data.NewField(SQLValueFieldName, nil, []*float64{fp(1.0), fp(3.0), fp(2.0), fp(4.0)}),
data.NewField(SQLMetricFieldName, nil, []string{"cpu", "mem", "cpu", "mem"}),
data.NewField("host", nil, []*string{sp("a"), sp("b"), sp("a"), sp("b")}),
)
expected.Meta = &data.FrameMeta{Type: timeseriesFullLongType}
output, err := ConvertToFullLong(input)
require.NoError(t, err)
require.Len(t, output, 1)
if diff := cmp.Diff(expected, output[0], data.FrameTestCompareOptions()...); diff != "" {
require.FailNowf(t, "Result mismatch (-want +got):%s", diff)
}
})
t.Run("TwoSeriesSparseMetricsAndLabels", func(t *testing.T) {
times := []time.Time{
time.Unix(0, 0),
time.Unix(10, 0),
}
input := data.Frames{
data.NewFrame("cpu",
data.NewField("time", nil, times),
data.NewField("cpu", data.Labels{"host": "a"}, []float64{1.0, 2.0}),
),
data.NewFrame("mem",
data.NewField("time", nil, times),
data.NewField("mem", data.Labels{"host": "b", "env": "prod"}, []float64{3.0, 4.0}),
),
}
input[0].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
input[1].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
expected := data.NewFrame("",
data.NewField("time", nil, []time.Time{
time.Unix(0, 0), time.Unix(0, 0), time.Unix(10, 0), time.Unix(10, 0),
}),
data.NewField(SQLValueFieldName, nil, []*float64{fp(1.0), fp(3.0), fp(2.0), fp(4.0)}),
data.NewField(SQLMetricFieldName, nil, []string{"cpu", "mem", "cpu", "mem"}),
data.NewField("env", nil, []*string{nil, sp("prod"), nil, sp("prod")}),
data.NewField("host", nil, []*string{sp("a"), sp("b"), sp("a"), sp("b")}),
)
expected.Meta = &data.FrameMeta{Type: timeseriesFullLongType}
output, err := ConvertToFullLong(input)
require.NoError(t, err)
require.Len(t, output, 1)
if diff := cmp.Diff(expected, output[0], data.FrameTestCompareOptions()...); diff != "" {
require.FailNowf(t, "Result mismatch (-want +got):%s", diff)
}
})
t.Run("ThreeSeriesSparseTimeLabelsMetrics", func(t *testing.T) {
timesA := []time.Time{
time.Unix(0, 0),
time.Unix(10, 0),
}
timesB := []time.Time{
time.Unix(5, 0),
time.Unix(15, 0),
}
timesMem := []time.Time{
time.Unix(10, 0),
time.Unix(30, 0),
}
input := data.Frames{
data.NewFrame("cpu",
data.NewField("time", nil, timesA),
data.NewField("cpu", data.Labels{"host": "a"}, []float64{1.0, 2.0}),
),
data.NewFrame("cpu",
data.NewField("time", nil, timesB),
data.NewField("cpu", nil, []float64{9.0, 10.0}), // no labels
),
data.NewFrame("mem",
data.NewField("time", nil, timesMem),
data.NewField("mem", data.Labels{"host": "b", "env": "prod"}, []float64{3.0, 4.0}),
),
}
for _, f := range input {
f.Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
}
expected := data.NewFrame("",
data.NewField("time", nil, []time.Time{
time.Unix(0, 0), // cpu a
time.Unix(5, 0), // cpu no label
time.Unix(10, 0), // cpu a
time.Unix(10, 0), // mem
time.Unix(15, 0), // cpu no label
time.Unix(30, 0), // mem
}),
data.NewField(SQLValueFieldName, nil, []*float64{
fp(1.0), fp(9.0), fp(2.0), fp(3.0), fp(10.0), fp(4.0),
}),
data.NewField(SQLMetricFieldName, nil, []string{
"cpu", "cpu", "cpu", "mem", "cpu", "mem",
}),
data.NewField("env", nil, []*string{
nil, nil, nil, sp("prod"), nil, sp("prod"),
}),
data.NewField("host", nil, []*string{
sp("a"), nil, sp("a"), sp("b"), nil, sp("b"),
}),
)
expected.Meta = &data.FrameMeta{Type: timeseriesFullLongType}
output, err := ConvertToFullLong(input)
require.NoError(t, err)
require.Len(t, output, 1)
if diff := cmp.Diff(expected, output[0], data.FrameTestCompareOptions()...); diff != "" {
require.FailNowf(t, "Result mismatch (-want +got):%s", diff)
}
})
}
func TestConvertTimeSeriesMultiToFullLongWithDisplayName(t *testing.T) {
t.Run("SingleSeriesWithDisplayName", func(t *testing.T) {
times := []time.Time{time.Unix(0, 0), time.Unix(10, 0)}
input := data.Frames{
data.NewFrame("cpu",
data.NewField("time", nil, times),
func() *data.Field {
f := data.NewField("cpu", nil, []float64{1.0, 2.0})
f.Config = &data.FieldConfig{DisplayNameFromDS: "CPU Display"}
return f
}(),
),
}
input[0].Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
expected := data.NewFrame("",
data.NewField("time", nil, times),
data.NewField(SQLValueFieldName, nil, []*float64{fp(1.0), fp(2.0)}),
data.NewField(SQLMetricFieldName, nil, []string{"cpu", "cpu"}),
data.NewField(SQLDisplayFieldName, nil, []*string{sp("CPU Display"), sp("CPU Display")}),
)
expected.Meta = &data.FrameMeta{Type: timeseriesFullLongType}
output, err := ConvertToFullLong(input)
require.NoError(t, err)
require.Len(t, output, 1)
if diff := cmp.Diff(expected, output[0], data.FrameTestCompareOptions()...); diff != "" {
require.FailNowf(t, "Mismatch (-want +got):\n%s", diff)
}
})
t.Run("TwoSeriesMixedDisplayNames", func(t *testing.T) {
times := []time.Time{time.Unix(0, 0), time.Unix(10, 0)}
input := data.Frames{
data.NewFrame("cpu",
data.NewField("time", nil, times),
func() *data.Field {
f := data.NewField("cpu", data.Labels{"host": "a"}, []float64{1.0, 2.0})
f.Config = &data.FieldConfig{DisplayNameFromDS: "CPU A"}
return f
}(),
),
data.NewFrame("cpu",
data.NewField("time", nil, times),
data.NewField("cpu", data.Labels{"host": "b"}, []float64{3.0, 4.0}),
),
}
for _, f := range input {
f.Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti}
}
expected := data.NewFrame("",
data.NewField("time", nil, []time.Time{
times[0], times[0], times[1], times[1],
}),
data.NewField(SQLValueFieldName, nil, []*float64{
fp(1.0), fp(3.0), fp(2.0), fp(4.0),
}),
data.NewField(SQLMetricFieldName, nil, []string{"cpu", "cpu", "cpu", "cpu"}),
data.NewField(SQLDisplayFieldName, nil, []*string{
sp("CPU A"), nil, sp("CPU A"), nil,
}),
data.NewField("host", nil, []*string{
sp("a"), sp("b"), sp("a"), sp("b"),
}),
)
expected.Meta = &data.FrameMeta{Type: timeseriesFullLongType}
output, err := ConvertToFullLong(input)
require.NoError(t, err)
require.Len(t, output, 1)
if diff := cmp.Diff(expected, output[0], data.FrameTestCompareOptions()...); diff != "" {
require.FailNowf(t, "Mismatch (-want +got):\n%s", diff)
}
})
}