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Alerting: support alerting on data.Frame (that can be time series) (#22812)

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data.Frame (that can be series) are converted to as tsdb.TimeSeriesSlice - so new backend plugins can be shimmed into existing alerting

use sdk v0.31.0
This commit is contained in:
Kyle Brandt
2020-03-18 10:30:07 -04:00
committed by GitHub
parent 44b7f3ea1c
commit 0e09a3fe15
15 changed files with 808 additions and 55 deletions
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139
pkg/tsdb/frame_util_test.go Normal file
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@@ -0,0 +1,139 @@
package tsdb
import (
"math"
"testing"
"time"
"github.com/google/go-cmp/cmp"
"github.com/google/go-cmp/cmp/cmpopts"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana/pkg/components/null"
"github.com/stretchr/testify/require"
"github.com/xorcare/pointer"
)
func TestFrameToSeriesSlice(t *testing.T) {
tests := []struct {
name string
frame *data.Frame
seriesSlice TimeSeriesSlice
Err require.ErrorAssertionFunc
}{
{
name: "a wide series",
frame: data.NewFrame("",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 0, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 30, 0, time.UTC),
}),
data.NewField(`Values Int64s`, data.Labels{"Animal Factor": "cat"}, []*int64{
nil,
pointer.Int64(3),
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []float64{
2.0,
4.0,
})),
seriesSlice: TimeSeriesSlice{
&TimeSeries{
Name: "Values Int64s",
Tags: map[string]string{"Animal Factor": "cat"},
Points: TimeSeriesPoints{
TimePoint{null.FloatFrom(math.NaN()), null.FloatFrom(1577934240000)},
TimePoint{null.FloatFrom(3), null.FloatFrom(1577934270000)},
},
},
&TimeSeries{
Name: "Values Floats",
Tags: map[string]string{"Animal Factor": "sloth"},
Points: TimeSeriesPoints{
TimePoint{null.FloatFrom(2), null.FloatFrom(1577934240000)},
TimePoint{null.FloatFrom(4), null.FloatFrom(1577934270000)},
},
},
},
Err: require.NoError,
},
{
name: "a long series",
frame: data.NewFrame("",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 0, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 0, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 30, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 30, 0, time.UTC),
}),
data.NewField("Values Floats", nil, []float64{
1.0,
2.0,
3.0,
4.0,
}),
data.NewField("Values Int64", nil, []int64{
1,
2,
3,
4,
}),
data.NewField("Animal Factor", nil, []string{
"cat",
"sloth",
"cat",
"sloth",
}),
data.NewField("Location", nil, []string{
"Florida",
"Central & South America",
"Florida",
"Central & South America",
})),
seriesSlice: TimeSeriesSlice{
&TimeSeries{
Name: "Values Floats",
Tags: map[string]string{"Animal Factor": "cat", "Location": "Florida"},
Points: TimeSeriesPoints{
TimePoint{null.FloatFrom(1), null.FloatFrom(1577934240000)},
TimePoint{null.FloatFrom(3), null.FloatFrom(1577934270000)},
},
},
&TimeSeries{
Name: "Values Int64",
Tags: map[string]string{"Animal Factor": "cat", "Location": "Florida"},
Points: TimeSeriesPoints{
TimePoint{null.FloatFrom(1), null.FloatFrom(1577934240000)},
TimePoint{null.FloatFrom(3), null.FloatFrom(1577934270000)},
},
},
&TimeSeries{
Name: "Values Floats",
Tags: map[string]string{"Animal Factor": "sloth", "Location": "Central & South America"},
Points: TimeSeriesPoints{
TimePoint{null.FloatFrom(2), null.FloatFrom(1577934240000)},
TimePoint{null.FloatFrom(4), null.FloatFrom(1577934270000)},
},
},
&TimeSeries{
Name: "Values Int64",
Tags: map[string]string{"Animal Factor": "sloth", "Location": "Central & South America"},
Points: TimeSeriesPoints{
TimePoint{null.FloatFrom(2), null.FloatFrom(1577934240000)},
TimePoint{null.FloatFrom(4), null.FloatFrom(1577934270000)},
},
},
},
Err: require.NoError,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
seriesSlice, err := FrameToSeriesSlice(tt.frame)
tt.Err(t, err)
if diff := cmp.Diff(tt.seriesSlice, seriesSlice, cmpopts.EquateNaNs()); diff != "" {
t.Errorf("Result mismatch (-want +got):\n%s", diff)
}
})
}
}