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Azure: convert azure units to grafana units (#26429)

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Ryan McKinley 2020-07-20 12:29:13 -07:00 committed by GitHub
parent c208c7cabe
commit 5d09e4539c
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2 changed files with 38 additions and 16 deletions
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24
pkg/tsdb/azuremonitor/azuremonitor-datasource.go
View File

@ -294,7 +294,7 @@ func (e *AzureMonitorDatasource) parseResponse(queryRes *tsdb.QueryResult, amr A
dataField.Name = amr.Value[0].Name.LocalizedValue
dataField.Labels = labels
dataField.SetConfig(&data.FieldConfig{
Unit: amr.Value[0].Unit,
Unit: toGrafanaUnit(amr.Value[0].Unit),
})
if query.Alias != "" {
dataField.Config.DisplayName = formatAzureMonitorLegendKey(query.Alias, query.UrlComponents["resourceName"],
@ -386,3 +386,25 @@ func formatAzureMonitorLegendKey(alias string, resourceName string, metricName s
return string(result)
}
// Map values from:
// https://docs.microsoft.com/en-us/azure/azure-monitor/platform/metrics-supported#microsoftanalysisservicesservers
// to
// https://github.com/grafana/grafana/blob/master/packages/grafana-data/src/valueFormats/categories.ts#L24
func toGrafanaUnit(unit string) string {
switch unit {
case "Percent":
return "percent"
case "Count":
return "short" // this is used for integers
case "Bytes":
return "decbytes" // or ICE
case "BytesPerSecond":
return "Bps"
case "CountPerSecond":
return "cps"
case "Milliseconds":
return "ms"
}
return unit // this will become a suffix in the display
}

30
pkg/tsdb/azuremonitor/azuremonitor-datasource_test.go
View File

@ -201,7 +201,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
makeDates(time.Date(2019, 2, 8, 10, 13, 0, 0, time.UTC), 5, time.Minute)),
data.NewField("Percentage CPU", nil, []float64{
2.0875, 2.1525, 2.155, 3.6925, 2.44,
}).SetConfig(&data.FieldConfig{Unit: "Percent"})),
}).SetConfig(&data.FieldConfig{Unit: "percent"})),
},
},
{
@ -221,7 +221,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
makeDates(time.Date(2019, 2, 9, 13, 29, 0, 0, time.UTC), 5, time.Minute)),
data.NewField("Percentage CPU", nil, []float64{
8.26, 8.7, 14.82, 10.07, 8.52,
}).SetConfig(&data.FieldConfig{Unit: "Percent"})),
}).SetConfig(&data.FieldConfig{Unit: "percent"})),
},
},
{
@ -241,7 +241,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
makeDates(time.Date(2019, 2, 9, 14, 26, 0, 0, time.UTC), 5, time.Minute)),
data.NewField("Percentage CPU", nil, []float64{
3.07, 2.92, 2.87, 2.27, 2.52,
}).SetConfig(&data.FieldConfig{Unit: "Percent"})),
}).SetConfig(&data.FieldConfig{Unit: "percent"})),
},
},
{
@ -261,7 +261,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
makeDates(time.Date(2019, 2, 9, 14, 43, 0, 0, time.UTC), 5, time.Minute)),
data.NewField("Percentage CPU", nil, []float64{
1.51, 2.38, 1.69, 2.27, 1.96,
}).SetConfig(&data.FieldConfig{Unit: "Percent"})),
}).SetConfig(&data.FieldConfig{Unit: "percent"})),
},
},
{
@ -281,7 +281,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
makeDates(time.Date(2019, 2, 9, 14, 44, 0, 0, time.UTC), 5, time.Minute)),
data.NewField("Percentage CPU", nil, []float64{
4, 4, 4, 4, 4,
}).SetConfig(&data.FieldConfig{Unit: "Percent"})),
}).SetConfig(&data.FieldConfig{Unit: "percent"})),
},
},
{
@ -300,19 +300,19 @@ func TestAzureMonitorParseResponse(t *testing.T) {
data.NewField("", nil,
makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)),
data.NewField("Blob Count", data.Labels{"blobtype": "PageBlob"},
[]float64{3, 3, 3, 3, 3, 0}).SetConfig(&data.FieldConfig{Unit: "Count"})),
[]float64{3, 3, 3, 3, 3, 0}).SetConfig(&data.FieldConfig{Unit: "short"})),
data.NewFrame("",
data.NewField("", nil,
makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)),
data.NewField("Blob Count", data.Labels{"blobtype": "BlockBlob"},
[]float64{1, 1, 1, 1, 1, 0}).SetConfig(&data.FieldConfig{Unit: "Count"})),
[]float64{1, 1, 1, 1, 1, 0}).SetConfig(&data.FieldConfig{Unit: "short"})),
data.NewFrame("",
data.NewField("", nil,
makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)),
data.NewField("Blob Count", data.Labels{"blobtype": "Azure Data Lake Storage"},
[]float64{0, 0, 0, 0, 0, 0}).SetConfig(&data.FieldConfig{Unit: "Count"})),
[]float64{0, 0, 0, 0, 0, 0}).SetConfig(&data.FieldConfig{Unit: "short"})),
},
},
{
@ -333,7 +333,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
makeDates(time.Date(2019, 2, 9, 13, 29, 0, 0, time.UTC), 5, time.Minute)),
data.NewField("Percentage CPU", nil, []float64{
8.26, 8.7, 14.82, 10.07, 8.52,
}).SetConfig(&data.FieldConfig{Unit: "Percent", DisplayName: "custom grafanastaging Microsoft.Compute/virtualMachines grafana Percentage CPU"})),
}).SetConfig(&data.FieldConfig{Unit: "percent", DisplayName: "custom grafanastaging Microsoft.Compute/virtualMachines grafana Percentage CPU"})),
},
},
{
@ -353,21 +353,21 @@ func TestAzureMonitorParseResponse(t *testing.T) {
data.NewField("", nil,
makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)),
data.NewField("Blob Count", data.Labels{"blobtype": "PageBlob"},
[]float64{3, 3, 3, 3, 3, 0}).SetConfig(&data.FieldConfig{Unit: "Count", DisplayName: "blobtype=PageBlob"})),
[]float64{3, 3, 3, 3, 3, 0}).SetConfig(&data.FieldConfig{Unit: "short", DisplayName: "blobtype=PageBlob"})),
data.NewFrame("",
data.NewField("", nil,
makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)),
data.NewField("Blob Count", data.Labels{"blobtype": "BlockBlob"}, []float64{
1, 1, 1, 1, 1, 0,
}).SetConfig(&data.FieldConfig{Unit: "Count", DisplayName: "blobtype=BlockBlob"})),
}).SetConfig(&data.FieldConfig{Unit: "short", DisplayName: "blobtype=BlockBlob"})),
data.NewFrame("",
data.NewField("", nil,
makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)),
data.NewField("Blob Count", data.Labels{"blobtype": "Azure Data Lake Storage"}, []float64{
0, 0, 0, 0, 0, 0,
}).SetConfig(&data.FieldConfig{Unit: "Count", DisplayName: "blobtype=Azure Data Lake Storage"})),
}).SetConfig(&data.FieldConfig{Unit: "short", DisplayName: "blobtype=Azure Data Lake Storage"})),
},
},
{
@ -388,21 +388,21 @@ func TestAzureMonitorParseResponse(t *testing.T) {
makeDates(time.Date(2020, 06, 30, 9, 58, 0, 0, time.UTC), 3, time.Hour)),
data.NewField("Blob Capacity", data.Labels{"blobtype": "PageBlob", "tier": "Standard"},
[]float64{675530, 675530, 675530}).SetConfig(
&data.FieldConfig{Unit: "Bytes", DisplayName: "danieltest {Blob Type=PageBlob, Tier=Standard}"})),
&data.FieldConfig{Unit: "decbytes", DisplayName: "danieltest {Blob Type=PageBlob, Tier=Standard}"})),
data.NewFrame("",
data.NewField("", nil,
makeDates(time.Date(2020, 06, 30, 9, 58, 0, 0, time.UTC), 3, time.Hour)),
data.NewField("Blob Capacity", data.Labels{"blobtype": "BlockBlob", "tier": "Hot"},
[]float64{0, 0, 0}).SetConfig(
&data.FieldConfig{Unit: "Bytes", DisplayName: "danieltest {Blob Type=BlockBlob, Tier=Hot}"})),
&data.FieldConfig{Unit: "decbytes", DisplayName: "danieltest {Blob Type=BlockBlob, Tier=Hot}"})),
data.NewFrame("",
data.NewField("", nil,
makeDates(time.Date(2020, 06, 30, 9, 58, 0, 0, time.UTC), 3, time.Hour)),
data.NewField("Blob Capacity", data.Labels{"blobtype": "Azure Data Lake Storage", "tier": "Cool"},
[]float64{0, 0, 0}).SetConfig(
&data.FieldConfig{Unit: "Bytes", DisplayName: "danieltest {Blob Type=Azure Data Lake Storage, Tier=Cool}"})),
&data.FieldConfig{Unit: "decbytes", DisplayName: "danieltest {Blob Type=Azure Data Lake Storage, Tier=Cool}"})),
},
},
}