mirror of https://github.com/grafana/grafana.git
242 lines
8.8 KiB
Go
242 lines
8.8 KiB
Go
package loganalytics
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import (
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"context"
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"fmt"
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"net/http"
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"net/url"
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"strings"
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"testing"
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"time"
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"github.com/google/go-cmp/cmp"
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"github.com/grafana/grafana-plugin-sdk-go/backend"
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"github.com/grafana/grafana/pkg/infra/tracing"
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"github.com/grafana/grafana/pkg/tsdb/azuremonitor/types"
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"github.com/stretchr/testify/require"
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)
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func TestBuildingAzureLogAnalyticsQueries(t *testing.T) {
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datasource := &AzureLogAnalyticsDatasource{}
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fromStart := time.Date(2018, 3, 15, 13, 0, 0, 0, time.UTC).In(time.Local)
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timeRange := backend.TimeRange{From: fromStart, To: fromStart.Add(34 * time.Minute)}
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tests := []struct {
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name string
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queryModel []backend.DataQuery
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azureLogAnalyticsQueries []*AzureLogAnalyticsQuery
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Err require.ErrorAssertionFunc
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}{
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{
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name: "Query with macros should be interpolated",
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queryModel: []backend.DataQuery{
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{
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JSON: []byte(fmt.Sprintf(`{
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"queryType": "Azure Log Analytics",
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"azureLogAnalytics": {
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"resource": "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
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"query": "query=Perf | where $__timeFilter() | where $__contains(Computer, 'comp1','comp2') | summarize avg(CounterValue) by bin(TimeGenerated, $__interval), Computer",
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"resultFormat": "%s"
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}
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}`, types.TimeSeries)),
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RefID: "A",
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TimeRange: timeRange,
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},
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},
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azureLogAnalyticsQueries: []*AzureLogAnalyticsQuery{
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{
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RefID: "A",
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ResultFormat: types.TimeSeries,
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URL: "v1/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace/query",
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JSON: []byte(fmt.Sprintf(`{
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"queryType": "Azure Log Analytics",
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"azureLogAnalytics": {
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"resource": "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
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"query": "query=Perf | where $__timeFilter() | where $__contains(Computer, 'comp1','comp2') | summarize avg(CounterValue) by bin(TimeGenerated, $__interval), Computer",
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"resultFormat": "%s"
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}
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}`, types.TimeSeries)),
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Params: url.Values{"query": {"query=Perf | where ['TimeGenerated'] >= datetime('2018-03-15T13:00:00Z') and ['TimeGenerated'] <= datetime('2018-03-15T13:34:00Z') | where ['Computer'] in ('comp1','comp2') | summarize avg(CounterValue) by bin(TimeGenerated, 34000ms), Computer"}},
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Target: "query=query%3DPerf+%7C+where+%5B%27TimeGenerated%27%5D+%3E%3D+datetime%28%272018-03-15T13%3A00%3A00Z%27%29+and+%5B%27TimeGenerated%27%5D+%3C%3D+datetime%28%272018-03-15T13%3A34%3A00Z%27%29+%7C+where+%5B%27Computer%27%5D+in+%28%27comp1%27%2C%27comp2%27%29+%7C+summarize+avg%28CounterValue%29+by+bin%28TimeGenerated%2C+34000ms%29%2C+Computer",
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TimeRange: timeRange,
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},
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},
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Err: require.NoError,
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},
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{
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name: "Legacy queries with a workspace GUID should use workspace-centric url",
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queryModel: []backend.DataQuery{
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{
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JSON: []byte(fmt.Sprintf(`{
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"queryType": "Azure Log Analytics",
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"azureLogAnalytics": {
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"workspace": "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
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"query": "query=Perf",
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"resultFormat": "%s"
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}
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}`, types.TimeSeries)),
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RefID: "A",
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},
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},
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azureLogAnalyticsQueries: []*AzureLogAnalyticsQuery{
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{
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RefID: "A",
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ResultFormat: types.TimeSeries,
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URL: "v1/workspaces/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/query",
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JSON: []byte(fmt.Sprintf(`{
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"queryType": "Azure Log Analytics",
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"azureLogAnalytics": {
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"workspace": "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
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"query": "query=Perf",
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"resultFormat": "%s"
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}
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}`, types.TimeSeries)),
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Params: url.Values{"query": {"query=Perf"}},
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Target: "query=query%3DPerf",
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},
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},
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Err: require.NoError,
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},
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{
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name: "Legacy workspace queries with a resource URI (from a template variable) should use resource-centric url",
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queryModel: []backend.DataQuery{
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{
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JSON: []byte(fmt.Sprintf(`{
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"queryType": "Azure Log Analytics",
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"azureLogAnalytics": {
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"workspace": "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
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"query": "query=Perf",
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"resultFormat": "%s"
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}
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}`, types.TimeSeries)),
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RefID: "A",
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},
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},
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azureLogAnalyticsQueries: []*AzureLogAnalyticsQuery{
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{
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RefID: "A",
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ResultFormat: types.TimeSeries,
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URL: "v1/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace/query",
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JSON: []byte(fmt.Sprintf(`{
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"queryType": "Azure Log Analytics",
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"azureLogAnalytics": {
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"workspace": "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
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"query": "query=Perf",
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"resultFormat": "%s"
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}
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}`, types.TimeSeries)),
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Params: url.Values{"query": {"query=Perf"}},
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Target: "query=query%3DPerf",
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},
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},
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Err: require.NoError,
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},
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{
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name: "Queries with a Resource should use resource-centric url",
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queryModel: []backend.DataQuery{
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{
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JSON: []byte(fmt.Sprintf(`{
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"queryType": "Azure Log Analytics",
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"azureLogAnalytics": {
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"resource": "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
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"query": "query=Perf",
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"resultFormat": "%s"
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}
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}`, types.TimeSeries)),
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RefID: "A",
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},
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},
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azureLogAnalyticsQueries: []*AzureLogAnalyticsQuery{
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{
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RefID: "A",
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ResultFormat: types.TimeSeries,
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URL: "v1/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace/query",
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JSON: []byte(fmt.Sprintf(`{
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"queryType": "Azure Log Analytics",
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"azureLogAnalytics": {
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"resource": "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
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"query": "query=Perf",
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"resultFormat": "%s"
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}
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}`, types.TimeSeries)),
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Params: url.Values{"query": {"query=Perf"}},
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Target: "query=query%3DPerf",
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},
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},
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Err: require.NoError,
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},
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}
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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queries, err := datasource.buildQueries(tt.queryModel, types.DatasourceInfo{})
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tt.Err(t, err)
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if diff := cmp.Diff(tt.azureLogAnalyticsQueries[0], queries[0]); diff != "" {
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t.Errorf("Result mismatch (-want +got):\n%s", diff)
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}
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})
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}
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}
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func TestLogAnalyticsCreateRequest(t *testing.T) {
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ctx := context.Background()
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url := "http://ds"
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dsInfo := types.DatasourceInfo{}
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tests := []struct {
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name string
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expectedURL string
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expectedHeaders http.Header
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Err require.ErrorAssertionFunc
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}{
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{
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name: "creates a request",
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expectedURL: "http://ds/",
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expectedHeaders: http.Header{"Content-Type": []string{"application/json"}},
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Err: require.NoError,
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},
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}
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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ds := AzureLogAnalyticsDatasource{}
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req, err := ds.createRequest(ctx, dsInfo, url)
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tt.Err(t, err)
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if req.URL.String() != tt.expectedURL {
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t.Errorf("Expecting %s, got %s", tt.expectedURL, req.URL.String())
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}
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if !cmp.Equal(req.Header, tt.expectedHeaders) {
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t.Errorf("Unexpected HTTP headers: %v", cmp.Diff(req.Header, tt.expectedHeaders))
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}
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})
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}
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}
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func Test_executeQueryErrorWithDifferentLogAnalyticsCreds(t *testing.T) {
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ds := AzureLogAnalyticsDatasource{}
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dsInfo := types.DatasourceInfo{
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Services: map[string]types.DatasourceService{
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"Azure Log Analytics": {URL: "http://ds"},
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},
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JSONData: map[string]interface{}{
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"azureLogAnalyticsSameAs": false,
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},
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}
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ctx := context.Background()
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query := &AzureLogAnalyticsQuery{
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Params: url.Values{},
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TimeRange: backend.TimeRange{},
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}
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tracer := tracing.InitializeTracerForTest()
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res := ds.executeQuery(ctx, query, dsInfo, &http.Client{}, dsInfo.Services["Azure Log Analytics"].URL, tracer)
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if res.Error == nil {
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t.Fatal("expecting an error")
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}
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if !strings.Contains(res.Error.Error(), "Log Analytics credentials are no longer supported") {
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t.Error("expecting the error to inform of bad credentials")
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}
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}
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