mirror of
https://github.com/grafana/grafana.git
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239 lines
6.6 KiB
Go
239 lines
6.6 KiB
Go
package azuremonitor
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import (
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"context"
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"encoding/json"
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"testing"
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"time"
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"github.com/grafana/grafana-plugin-sdk-go/backend"
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"github.com/stretchr/testify/require"
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. "github.com/smartystreets/goconvey/convey"
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)
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func TestApplicationInsightsDatasource(t *testing.T) {
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Convey("ApplicationInsightsDatasource", t, func() {
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datasource := &ApplicationInsightsDatasource{}
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Convey("Parse queries from frontend and build AzureMonitor API queries", func() {
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fromStart := time.Date(2018, 3, 15, 13, 0, 0, 0, time.UTC).In(time.Local)
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tsdbQuery := []backend.DataQuery{
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{
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TimeRange: backend.TimeRange{
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From: fromStart,
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To: fromStart.Add(34 * time.Minute),
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},
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JSON: []byte(`{
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"appInsights": {
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"rawQuery": false,
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"timeGrain": "PT1M",
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"aggregation": "Average",
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"metricName": "server/exceptions",
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"alias": "testalias",
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"queryType": "Application Insights"
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}
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}`),
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RefID: "A",
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Interval: 1234,
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},
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}
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Convey("and is a normal query", func() {
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queries, err := datasource.buildQueries(tsdbQuery)
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So(err, ShouldBeNil)
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So(len(queries), ShouldEqual, 1)
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So(queries[0].RefID, ShouldEqual, "A")
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So(queries[0].ApiURL, ShouldEqual, "metrics/server/exceptions")
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So(queries[0].Target, ShouldEqual, "aggregation=Average&interval=PT1M×pan=2018-03-15T13%3A00%3A00Z%2F2018-03-15T13%3A34%3A00Z")
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So(len(queries[0].Params), ShouldEqual, 3)
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So(queries[0].Params["timespan"][0], ShouldEqual, "2018-03-15T13:00:00Z/2018-03-15T13:34:00Z")
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So(queries[0].Params["aggregation"][0], ShouldEqual, "Average")
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So(queries[0].Params["interval"][0], ShouldEqual, "PT1M")
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So(queries[0].Alias, ShouldEqual, "testalias")
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})
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Convey("and has a time grain set to auto", func() {
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tsdbQuery[0].JSON = []byte(`{
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"appInsights": {
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"rawQuery": false,
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"timeGrain": "auto",
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"aggregation": "Average",
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"metricName": "Percentage CPU",
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"alias": "testalias",
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"queryType": "Application Insights"
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}
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}`)
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var err error
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tsdbQuery[0].Interval, err = time.ParseDuration("400s")
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require.NoError(t, err)
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queries, err := datasource.buildQueries(tsdbQuery)
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So(err, ShouldBeNil)
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So(queries[0].Params["interval"][0], ShouldEqual, "PT15M")
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})
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Convey("and has an empty time grain", func() {
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tsdbQuery[0].JSON = []byte(`{
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"appInsights": {
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"rawQuery": false,
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"timeGrain": "",
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"aggregation": "Average",
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"metricName": "Percentage CPU",
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"alias": "testalias",
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"queryType": "Application Insights"
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}
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}`)
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tsdbQuery[0].Interval, _ = time.ParseDuration("400s")
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queries, err := datasource.buildQueries(tsdbQuery)
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So(err, ShouldBeNil)
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So(queries[0].Params["interval"][0], ShouldEqual, "PT15M")
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})
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Convey("and has a time grain set to auto and the metric has a limited list of allowed time grains", func() {
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tsdbQuery[0].JSON = []byte(`{
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"appInsights": {
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"rawQuery": false,
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"timeGrain": "auto",
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"aggregation": "Average",
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"metricName": "Percentage CPU",
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"alias": "testalias",
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"queryType": "Application Insights",
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"allowedTimeGrainsMs": [60000, 300000]
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}
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}`)
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tsdbQuery[0].Interval, _ = time.ParseDuration("400s")
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queries, err := datasource.buildQueries(tsdbQuery)
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So(err, ShouldBeNil)
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So(queries[0].Params["interval"][0], ShouldEqual, "PT5M")
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})
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Convey("and has a dimension filter", func() {
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tsdbQuery[0].JSON = []byte(`{
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"appInsights": {
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"rawQuery": false,
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"timeGrain": "PT1M",
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"aggregation": "Average",
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"metricName": "Percentage CPU",
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"alias": "testalias",
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"queryType": "Application Insights",
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"dimension": "blob",
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"dimensionFilter": "blob eq '*'"
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}
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}`)
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queries, err := datasource.buildQueries(tsdbQuery)
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So(err, ShouldBeNil)
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So(queries[0].Target, ShouldEqual, "aggregation=Average&filter=blob+eq+%27%2A%27&interval=PT1M&segment=blob×pan=2018-03-15T13%3A00%3A00Z%2F2018-03-15T13%3A34%3A00Z")
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So(queries[0].Params["filter"][0], ShouldEqual, "blob eq '*'")
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})
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Convey("and has a dimension filter set to None", func() {
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tsdbQuery[0].JSON = []byte(`{
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"appInsights": {
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"rawQuery": false,
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"timeGrain": "PT1M",
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"aggregation": "Average",
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"metricName": "Percentage CPU",
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"alias": "testalias",
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"queryType": "Application Insights",
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"dimension": "None"
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}
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}`)
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queries, err := datasource.buildQueries(tsdbQuery)
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So(err, ShouldBeNil)
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So(queries[0].Target, ShouldEqual, "aggregation=Average&interval=PT1M×pan=2018-03-15T13%3A00%3A00Z%2F2018-03-15T13%3A34%3A00Z")
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})
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})
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})
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}
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func TestInsightsDimensionsUnmarshalJSON(t *testing.T) {
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a := []byte(`"foo"`)
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b := []byte(`["foo"]`)
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c := []byte(`["none"]`)
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d := []byte(`["None"]`)
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e := []byte("null")
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f := []byte(`""`)
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g := []byte(`"none"`)
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var as InsightsDimensions
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var bs InsightsDimensions
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err := json.Unmarshal(a, &as)
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require.NoError(t, err)
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require.Equal(t, []string{"foo"}, []string(as))
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err = json.Unmarshal(b, &bs)
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require.NoError(t, err)
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require.Equal(t, []string{"foo"}, []string(bs))
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var cs InsightsDimensions
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err = json.Unmarshal(c, &cs)
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require.NoError(t, err)
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require.Empty(t, cs)
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var ds InsightsDimensions
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err = json.Unmarshal(d, &ds)
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require.NoError(t, err)
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require.Empty(t, ds)
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var es InsightsDimensions
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err = json.Unmarshal(e, &es)
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require.NoError(t, err)
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require.Empty(t, es)
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var fs InsightsDimensions
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err = json.Unmarshal(f, &fs)
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require.NoError(t, err)
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require.Empty(t, fs)
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var gs InsightsDimensions
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err = json.Unmarshal(g, &gs)
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require.NoError(t, err)
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require.Empty(t, gs)
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}
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func TestAppInsightsCreateRequest(t *testing.T) {
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ctx := context.Background()
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url := "http://ds"
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dsInfo := datasourceInfo{
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Settings: azureMonitorSettings{AppInsightsAppId: "foo"},
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DecryptedSecureJSONData: map[string]string{
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"appInsightsApiKey": "key",
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},
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}
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tests := []struct {
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name string
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expectedURL string
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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/v1/apps/foo",
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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 := ApplicationInsightsDatasource{}
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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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})
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}
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}
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