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grafana/pkg/tsdb/azuremonitor/azure-response-table-frame_...

174 lines
6.1 KiB

package azuremonitor
import (
"encoding/json"
"math"
"os"
"path/filepath"
"testing"
"time"
"github.com/google/go-cmp/cmp"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
"github.com/xorcare/pointer"
)
func TestLogTableToFrame(t *testing.T) {
tests := []struct {
name string
testFile string
expectedFrame func() *data.Frame
}{
{
name: "single series",
testFile: "loganalytics/1-log-analytics-response-metrics-single-series.json",
expectedFrame: func() *data.Frame {
frame := data.NewFrame("",
data.NewField("TimeGenerated", nil, []*time.Time{
pointer.Time(time.Date(2020, 4, 19, 19, 16, 6, 5e8, time.UTC)),
pointer.Time(time.Date(2020, 4, 19, 19, 16, 16, 5e8, time.UTC)),
pointer.Time(time.Date(2020, 4, 19, 19, 16, 26, 5e8, time.UTC)),
}),
data.NewField("Computer", nil, []*string{
pointer.String("grafana-vm"),
pointer.String("grafana-vm"),
pointer.String("grafana-vm"),
}),
data.NewField("avg_CounterValue", nil, []*float64{
pointer.Float64(1.1),
pointer.Float64(2.2),
pointer.Float64(3.3),
}),
)
frame.Meta = &data.FrameMeta{
Custom: &LogAnalyticsMeta{ColumnTypes: []string{"datetime", "string", "real"}},
}
return frame
},
},
{
name: "response table",
testFile: "loganalytics/6-log-analytics-response-table.json",
expectedFrame: func() *data.Frame {
frame := data.NewFrame("",
data.NewField("TenantId", nil, []*string{
pointer.String("a2c1b44e-3e57-4410-b027-6cc0ae6dee67"),
pointer.String("a2c1b44e-3e57-4410-b027-6cc0ae6dee67"),
pointer.String("a2c1b44e-3e57-4410-b027-6cc0ae6dee67"),
}),
data.NewField("Computer", nil, []*string{
pointer.String("grafana-vm"),
pointer.String("grafana-vm"),
pointer.String("grafana-vm"),
}),
data.NewField("ObjectName", nil, []*string{
pointer.String("Memory"),
pointer.String("Memory"),
pointer.String("Memory"),
}),
data.NewField("CounterName", nil, []*string{
pointer.String("Available MBytes Memory"),
pointer.String("Available MBytes Memory"),
pointer.String("Available MBytes Memory"),
}),
data.NewField("InstanceName", nil, []*string{
pointer.String("Memory"),
pointer.String("Memory"),
pointer.String("Memory"),
}),
data.NewField("Min", nil, []*float64{nil, nil, nil}),
data.NewField("Max", nil, []*float64{nil, nil, nil}),
data.NewField("SampleCount", nil, []*int32{nil, nil, nil}),
data.NewField("CounterValue", nil, []*float64{
pointer.Float64(2040),
pointer.Float64(2066),
pointer.Float64(2066),
}),
data.NewField("TimeGenerated", nil, []*time.Time{
pointer.Time(time.Date(2020, 4, 23, 11, 46, 3, 857e6, time.UTC)),
pointer.Time(time.Date(2020, 4, 23, 11, 46, 13, 857e6, time.UTC)),
pointer.Time(time.Date(2020, 4, 23, 11, 46, 23, 857e6, time.UTC)),
}),
)
frame.Meta = &data.FrameMeta{
Custom: &LogAnalyticsMeta{ColumnTypes: []string{"string", "string", "string",
"string", "string", "real", "real", "int", "real", "datetime"}},
}
return frame
},
},
{
name: "all supported field types",
testFile: "loganalytics/7-log-analytics-all-types-table.json",
expectedFrame: func() *data.Frame {
frame := data.NewFrame("",
data.NewField("XBool", nil, []*bool{pointer.Bool(true)}),
data.NewField("XString", nil, []*string{pointer.String("Grafana")}),
data.NewField("XDateTime", nil, []*time.Time{pointer.Time(time.Date(2006, 1, 2, 22, 4, 5, 1*1e8, time.UTC))}),
data.NewField("XDynamic", nil, []*string{pointer.String(`[{"person":"Daniel"},{"cats":23},{"diagnosis":"cat problem"}]`)}),
data.NewField("XGuid", nil, []*string{pointer.String("74be27de-1e4e-49d9-b579-fe0b331d3642")}),
data.NewField("XInt", nil, []*int32{pointer.Int32(2147483647)}),
data.NewField("XLong", nil, []*int64{pointer.Int64(9223372036854775807)}),
data.NewField("XReal", nil, []*float64{pointer.Float64(1.797693134862315708145274237317043567981e+308)}),
data.NewField("XTimeSpan", nil, []*string{pointer.String("00:00:00.0000001")}),
data.NewField("XDecimal", nil, []*float64{pointer.Float64(79228162514264337593543950335)}),
data.NewField("XObject", nil, []*string{pointer.String(`"{\"person\": \"Daniel\", \"cats\": 23, \"diagnosis\": \"cat problem\"}"`)}),
)
frame.Meta = &data.FrameMeta{
Custom: &LogAnalyticsMeta{ColumnTypes: []string{"bool", "string", "datetime",
"dynamic", "guid", "int", "long", "real", "timespan", "decimal", "object"}},
}
return frame
},
},
{
name: "nan and infinity in real response",
testFile: "loganalytics/8-log-analytics-response-nan-inf.json",
expectedFrame: func() *data.Frame {
frame := data.NewFrame("",
data.NewField("XInf", nil, []*float64{pointer.Float64(math.Inf(0))}),
data.NewField("XInfNeg", nil, []*float64{pointer.Float64(math.Inf(-2))}),
data.NewField("XNan", nil, []*float64{pointer.Float64(math.NaN())}),
)
frame.Meta = &data.FrameMeta{
Custom: &LogAnalyticsMeta{ColumnTypes: []string{"real", "real", "real"}},
}
return frame
},
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
res := loadLogAnalyticsTestFileWithNumber(t, tt.testFile)
frame, err := ResponseTableToFrame(&res.Tables[0])
require.NoError(t, err)
if diff := cmp.Diff(tt.expectedFrame(), frame, data.FrameTestCompareOptions()...); diff != "" {
t.Errorf("Result mismatch (-want +got):\n%s", diff)
}
})
}
}
func loadLogAnalyticsTestFileWithNumber(t *testing.T, name string) AzureLogAnalyticsResponse {
t.Helper()
path := filepath.Join("testdata", name)
// Ignore gosec warning G304 since it's a test
// nolint:gosec
f, err := os.Open(path)
require.NoError(t, err)
defer func() {
err := f.Close()
assert.NoError(t, err)
}()
d := json.NewDecoder(f)
d.UseNumber()
var data AzureLogAnalyticsResponse
err = d.Decode(&data)
require.NoError(t, err)
return data
}