mirror of
https://github.com/grafana/grafana.git
synced 2024-11-23 09:26:43 -06:00
stackdriver: adds support for primary aggregations
WIP: Hardcoded values for the aligner and alignment period. Need to set the aligment period to the closest min interval and research the aligner more.
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0b5783563e
commit
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@ -59,7 +59,7 @@ func (e *StackdriverExecutor) Query(ctx context.Context, dsInfo *models.DataSour
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Results: make(map[string]*tsdb.QueryResult),
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}
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queries, err := e.parseQueries(tsdbQuery)
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queries, err := e.buildQueries(tsdbQuery)
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if err != nil {
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return nil, err
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}
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@ -75,7 +75,7 @@ func (e *StackdriverExecutor) Query(ctx context.Context, dsInfo *models.DataSour
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return result, nil
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}
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func (e *StackdriverExecutor) parseQueries(tsdbQuery *tsdb.TsdbQuery) ([]*StackdriverQuery, error) {
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func (e *StackdriverExecutor) buildQueries(tsdbQuery *tsdb.TsdbQuery) ([]*StackdriverQuery, error) {
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stackdriverQueries := []*StackdriverQuery{}
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startTime, err := tsdbQuery.TimeRange.ParseFrom()
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@ -102,8 +102,8 @@ func (e *StackdriverExecutor) parseQueries(tsdbQuery *tsdb.TsdbQuery) ([]*Stackd
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params := url.Values{}
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params.Add("interval.startTime", startTime.UTC().Format(time.RFC3339))
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params.Add("interval.endTime", endTime.UTC().Format(time.RFC3339))
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params.Add("aggregation.perSeriesAligner", "ALIGN_NONE")
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params.Add("filter", metricType)
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params.Add("filter", "metric.type=\""+metricType+"\"")
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setAggParams(¶ms, query)
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if setting.Env == setting.DEV {
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slog.Debug("Stackdriver request", "params", params)
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@ -119,6 +119,22 @@ func (e *StackdriverExecutor) parseQueries(tsdbQuery *tsdb.TsdbQuery) ([]*Stackd
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return stackdriverQueries, nil
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}
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func setAggParams(params *url.Values, query *tsdb.Query) {
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primaryAggregation := query.Model.Get("primaryAggregation").MustString()
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if primaryAggregation == "" {
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primaryAggregation = "REDUCE_NONE"
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}
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if primaryAggregation == "REDUCE_NONE" {
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params.Add("aggregation.perSeriesAligner", "ALIGN_NONE")
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} else {
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params.Add("aggregation.crossSeriesReducer", primaryAggregation)
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params.Add("aggregation.perSeriesAligner", "ALIGN_MEAN")
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params.Add("aggregation.alignmentPeriod", "+60s")
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}
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}
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func (e *StackdriverExecutor) executeQuery(ctx context.Context, query *StackdriverQuery, tsdbQuery *tsdb.TsdbQuery) (*tsdb.QueryResult, error) {
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queryResult := &tsdb.QueryResult{Meta: simplejson.New(), RefId: query.RefID}
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@ -17,7 +17,7 @@ func TestStackdriver(t *testing.T) {
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Convey("Stackdriver", t, func() {
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executor := &StackdriverExecutor{}
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Convey("Parse query from frontend", func() {
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Convey("Parse queries from frontend and build Stackdriver 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 := &tsdb.TsdbQuery{
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TimeRange: &tsdb.TimeRange{
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@ -34,17 +34,43 @@ func TestStackdriver(t *testing.T) {
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},
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},
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}
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queries, err := executor.parseQueries(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].Target, ShouldEqual, "target")
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So(len(queries[0].Params), ShouldEqual, 4)
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So(queries[0].Params["interval.startTime"][0], ShouldEqual, "2018-03-15T13:00:00Z")
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So(queries[0].Params["interval.endTime"][0], ShouldEqual, "2018-03-15T13:34:00Z")
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So(queries[0].Params["aggregation.perSeriesAligner"][0], ShouldEqual, "ALIGN_NONE")
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So(queries[0].Params["filter"][0], ShouldEqual, "a/metric/type")
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Convey("and query has no aggregation set", func() {
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queries, err := executor.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].Target, ShouldEqual, "target")
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So(len(queries[0].Params), ShouldEqual, 4)
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So(queries[0].Params["interval.startTime"][0], ShouldEqual, "2018-03-15T13:00:00Z")
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So(queries[0].Params["interval.endTime"][0], ShouldEqual, "2018-03-15T13:34:00Z")
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So(queries[0].Params["aggregation.perSeriesAligner"][0], ShouldEqual, "ALIGN_NONE")
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So(queries[0].Params["filter"][0], ShouldEqual, "metric.type=\"a/metric/type\"")
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})
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Convey("and query has aggregation mean set", func() {
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tsdbQuery.Queries[0].Model = simplejson.NewFromAny(map[string]interface{}{
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"target": "target",
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"metricType": "a/metric/type",
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"primaryAggregation": "REDUCE_MEAN",
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})
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queries, err := executor.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].Target, ShouldEqual, "target")
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So(len(queries[0].Params), ShouldEqual, 6)
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So(queries[0].Params["interval.startTime"][0], ShouldEqual, "2018-03-15T13:00:00Z")
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So(queries[0].Params["interval.endTime"][0], ShouldEqual, "2018-03-15T13:34:00Z")
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So(queries[0].Params["aggregation.crossSeriesReducer"][0], ShouldEqual, "REDUCE_MEAN")
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So(queries[0].Params["aggregation.perSeriesAligner"][0], ShouldEqual, "ALIGN_MEAN")
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So(queries[0].Params["aggregation.alignmentPeriod"][0], ShouldEqual, "+60s")
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So(queries[0].Params["filter"][0], ShouldEqual, "metric.type=\"a/metric/type\"")
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})
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})
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Convey("Parse stackdriver response in the time series format", func() {
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@ -15,7 +15,8 @@ export default class StackdriverDatasource {
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const queries = options.targets.filter(target => !target.hide).map(t => ({
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refId: t.refId,
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datasourceId: this.id,
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metricType: `metric.type="${t.metricType}"`,
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metricType: t.metricType,
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primaryAggregation: t.aggregation,
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}));
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const result = [];
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@ -32,6 +33,9 @@ export default class StackdriverDatasource {
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if (data.results) {
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Object['values'](data.results).forEach(queryRes => {
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if (!queryRes.series) {
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return;
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}
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queryRes.series.forEach(series => {
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result.push({
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target: series.name,
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@ -1,11 +1,4 @@
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<query-editor-row query-ctrl="ctrl" has-text-edit-mode="true">
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<div class="gf-form-inline">
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<div class="gf-form">
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<span class="gf-form-label width-9">Project</span>
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<input class="gf-form-input" disabled type="text" ng-model='ctrl.target.project.name' get-options="ctrl.getProjects()"
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css-class="min-width-12" />
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</div>
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</div>
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<div class="gf-form-inline">
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<div class="gf-form">
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<span class="gf-form-label width-9">Metric Type</span>
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@ -17,6 +10,24 @@
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</div>
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</div>
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<div class="gf-form-inline">
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<div class="gf-form gf-form--grow">
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<label class="gf-form-label query-keyword width-9">Aggregation</label>
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<div class="gf-form-select-wrapper gf-form-select-wrapper--caret-indent">
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<select class="gf-form-input width-11" ng-model="ctrl.target.aggregation" ng-options="f.value as f.text for f in ctrl.aggOptions"
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ng-change="ctrl.refresh()"></select>
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</div>
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<div class="gf-form-label gf-form-label--grow"></div>
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</div>
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<div class="gf-form gf-form--grow">
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<div class="gf-form-label gf-form-label--grow"></div>
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</div>
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</div>
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<div class="gf-form-inline">
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<div class="gf-form">
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<span class="gf-form-label width-9">Project</span>
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<input class="gf-form-input" disabled type="text" ng-model='ctrl.target.project.name' get-options="ctrl.getProjects()"
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css-class="min-width-12" />
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</div>
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<div class="gf-form">
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<label class="gf-form-label query-keyword" ng-click="ctrl.showHelp = !ctrl.showHelp">
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Show Help
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@ -45,6 +56,6 @@ Help text for aliasing
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</pre>
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</div>
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<div class="gf-form" ng-show="ctrl.lastQueryError">
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<pre class="gf-form-pre alert alert-error">{{ctrl.lastQueryError}}</pre>
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</div>
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<pre class="gf-form-pre alert alert-error">{{ctrl.lastQueryError}}</pre>
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</div>
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</query-editor-row>
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@ -23,9 +23,24 @@ export class StackdriverQueryCtrl extends QueryCtrl {
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id: 'default',
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name: 'loading project...',
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},
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// metricType: this.defaultDropdownValue,
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metricType: this.defaultDropdownValue,
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aggregation: 'REDUCE_MEAN',
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};
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aggOptions = [
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{ text: 'none', value: 'REDUCE_NONE' },
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{ text: 'mean', value: 'REDUCE_MEAN' },
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{ text: 'min', value: 'REDUCE_MIN' },
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{ text: 'max', value: 'REDUCE_MAX' },
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{ text: 'sum', value: 'REDUCE_SUM' },
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{ text: 'std. dev.', value: 'REDUCE_STDDEV' },
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{ text: 'count', value: 'REDUCE_COUNT' },
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{ text: '99th percentile', value: 'REDUCE_PERCENTILE_99' },
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{ text: '95th percentile', value: 'REDUCE_PERCENTILE_95' },
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{ text: '50th percentile', value: 'REDUCE_PERCENTILE_50' },
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{ text: '5th percentile', value: 'REDUCE_PERCENTILE_05' },
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];
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showHelp: boolean;
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showLastQuery: boolean;
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lastQueryMeta: QueryMeta;
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@ -1,5 +1,6 @@
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import StackdriverDataSource from '../datasource';
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import { metricDescriptors } from './testData';
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import moment from 'moment';
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describe('StackdriverDataSource', () => {
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describe('when performing testDataSource', () => {
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@ -93,4 +94,51 @@ describe('StackdriverDataSource', () => {
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});
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});
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});
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describe('When performing query', () => {
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const options = {
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range: {
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from: moment.utc('2017-08-22T20:00:00Z'),
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to: moment.utc('2017-08-22T23:59:00Z'),
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},
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rangeRaw: {
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from: 'now-4h',
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to: 'now',
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},
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targets: [
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{
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refId: 'A',
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},
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],
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};
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describe('and no time series data is returned', () => {
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let ds;
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const response = {
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results: {
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A: {
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refId: 'A',
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meta: {
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rawQuery: 'arawquerystring',
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},
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series: null,
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tables: null,
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},
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},
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};
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beforeEach(() => {
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const backendSrv = {
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datasourceRequest: async () => Promise.resolve({ status: 200, data: response }),
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};
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ds = new StackdriverDataSource({}, backendSrv);
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});
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it('should return a list of datapoints', () => {
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return ds.query(options).then(results => {
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expect(results.data.length).toBe(0);
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});
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});
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});
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});
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});
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