mirror of
https://github.com/grafana/grafana.git
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268 lines
7.8 KiB
Go
268 lines
7.8 KiB
Go
package azuremonitor
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import (
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"context"
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"encoding/json"
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"fmt"
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"io/ioutil"
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"net/http"
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"net/url"
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"path"
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"sort"
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"strings"
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"time"
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"github.com/grafana/grafana-plugin-sdk-go/backend"
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"github.com/grafana/grafana-plugin-sdk-go/data"
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"github.com/grafana/grafana/pkg/util/errutil"
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"github.com/opentracing/opentracing-go"
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"golang.org/x/net/context/ctxhttp"
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)
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// ApplicationInsightsDatasource calls the application insights query API.
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type ApplicationInsightsDatasource struct{}
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// ApplicationInsightsQuery is the model that holds the information
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// needed to make a metrics query to Application Insights, and the information
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// used to parse the response.
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type ApplicationInsightsQuery struct {
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RefID string
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TimeRange backend.TimeRange
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// Text based raw query options.
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ApiURL string
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Params url.Values
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Alias string
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Target string
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// These fields are used when parsing the response.
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metricName string
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dimensions []string
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aggregation string
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}
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func (e *ApplicationInsightsDatasource) executeTimeSeriesQuery(ctx context.Context,
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originalQueries []backend.DataQuery, dsInfo datasourceInfo) (*backend.QueryDataResponse, error) {
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result := backend.NewQueryDataResponse()
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queries, err := e.buildQueries(originalQueries)
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if err != nil {
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return nil, err
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}
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for _, query := range queries {
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queryRes, err := e.executeQuery(ctx, query, dsInfo)
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if err != nil {
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return nil, err
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}
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result.Responses[query.RefID] = queryRes
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}
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return result, nil
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}
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func (e *ApplicationInsightsDatasource) buildQueries(queries []backend.DataQuery) ([]*ApplicationInsightsQuery, error) {
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applicationInsightsQueries := []*ApplicationInsightsQuery{}
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for _, query := range queries {
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queryBytes, err := query.JSON.MarshalJSON()
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if err != nil {
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return nil, fmt.Errorf("failed to re-encode the Azure Application Insights query into JSON: %w", err)
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}
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queryJSONModel := insightsJSONQuery{}
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err = json.Unmarshal(queryBytes, &queryJSONModel)
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if err != nil {
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return nil, fmt.Errorf("failed to decode the Azure Application Insights query object from JSON: %w", err)
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}
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insightsJSONModel := queryJSONModel.AppInsights
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azlog.Debug("Application Insights", "target", insightsJSONModel)
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azureURL := fmt.Sprintf("metrics/%s", insightsJSONModel.MetricName)
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timeGrain := insightsJSONModel.TimeGrain
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timeGrains := insightsJSONModel.AllowedTimeGrainsMs
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// Previous versions of the query model don't specify a time grain, so we
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// need to fallback to a default value
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if timeGrain == "auto" || timeGrain == "" {
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timeGrain, err = setAutoTimeGrain(query.Interval.Milliseconds(), timeGrains)
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if err != nil {
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return nil, err
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}
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}
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params := url.Values{}
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params.Add("timespan", fmt.Sprintf("%v/%v", query.TimeRange.From.UTC().Format(time.RFC3339), query.TimeRange.To.UTC().Format(time.RFC3339)))
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if timeGrain != "none" {
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params.Add("interval", timeGrain)
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}
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params.Add("aggregation", insightsJSONModel.Aggregation)
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dimensionFilter := strings.TrimSpace(insightsJSONModel.DimensionFilter)
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if dimensionFilter != "" {
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params.Add("filter", dimensionFilter)
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}
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if len(insightsJSONModel.Dimensions) != 0 {
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params.Add("segment", strings.Join(insightsJSONModel.Dimensions, ","))
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}
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applicationInsightsQueries = append(applicationInsightsQueries, &ApplicationInsightsQuery{
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RefID: query.RefID,
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TimeRange: query.TimeRange,
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ApiURL: azureURL,
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Params: params,
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Alias: insightsJSONModel.Alias,
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Target: params.Encode(),
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metricName: insightsJSONModel.MetricName,
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aggregation: insightsJSONModel.Aggregation,
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dimensions: insightsJSONModel.Dimensions,
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})
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}
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return applicationInsightsQueries, nil
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}
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func (e *ApplicationInsightsDatasource) executeQuery(ctx context.Context, query *ApplicationInsightsQuery, dsInfo datasourceInfo) (
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backend.DataResponse, error) {
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dataResponse := backend.DataResponse{}
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req, err := e.createRequest(ctx, dsInfo)
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if err != nil {
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dataResponse.Error = err
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return dataResponse, nil
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}
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req.URL.Path = path.Join(req.URL.Path, query.ApiURL)
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req.URL.RawQuery = query.Params.Encode()
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span, ctx := opentracing.StartSpanFromContext(ctx, "application insights query")
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span.SetTag("target", query.Target)
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span.SetTag("from", query.TimeRange.From.UnixNano()/int64(time.Millisecond))
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span.SetTag("until", query.TimeRange.To.UnixNano()/int64(time.Millisecond))
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span.SetTag("datasource_id", dsInfo.DatasourceID)
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span.SetTag("org_id", dsInfo.OrgID)
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defer span.Finish()
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err = opentracing.GlobalTracer().Inject(
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span.Context(),
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opentracing.HTTPHeaders,
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opentracing.HTTPHeadersCarrier(req.Header))
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if err != nil {
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azlog.Warn("failed to inject global tracer")
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}
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azlog.Debug("ApplicationInsights", "Request URL", req.URL.String())
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res, err := ctxhttp.Do(ctx, dsInfo.Services[appInsights].HTTPClient, req)
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if err != nil {
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dataResponse.Error = err
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return dataResponse, nil
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}
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body, err := ioutil.ReadAll(res.Body)
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defer func() {
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if err := res.Body.Close(); err != nil {
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azlog.Warn("Failed to close response body", "err", err)
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}
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}()
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if err != nil {
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return backend.DataResponse{}, err
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}
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if res.StatusCode/100 != 2 {
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azlog.Debug("Request failed", "status", res.Status, "body", string(body))
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return backend.DataResponse{}, fmt.Errorf("request failed, status: %s", res.Status)
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}
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mr := MetricsResult{}
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err = json.Unmarshal(body, &mr)
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if err != nil {
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return backend.DataResponse{}, err
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}
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frame, err := InsightsMetricsResultToFrame(mr, query.metricName, query.aggregation, query.dimensions)
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if err != nil {
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dataResponse.Error = err
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return dataResponse, nil
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}
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applyInsightsMetricAlias(frame, query.Alias)
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dataResponse.Frames = data.Frames{frame}
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return dataResponse, nil
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}
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func (e *ApplicationInsightsDatasource) createRequest(ctx context.Context, dsInfo datasourceInfo) (*http.Request, error) {
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appInsightsAppID := dsInfo.Settings.AppInsightsAppId
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req, err := http.NewRequest(http.MethodGet, dsInfo.Services[appInsights].URL, nil)
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if err != nil {
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azlog.Debug("Failed to create request", "error", err)
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return nil, errutil.Wrap("Failed to create request", err)
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}
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req.Header.Set("X-API-Key", dsInfo.DecryptedSecureJSONData["appInsightsApiKey"])
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req.URL.Path = fmt.Sprintf("/v1/apps/%s", appInsightsAppID)
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return req, nil
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}
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// formatApplicationInsightsLegendKey builds the legend key or timeseries name
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// Alias patterns like {{metric}} are replaced with the appropriate data values.
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func formatApplicationInsightsLegendKey(alias string, metricName string, labels data.Labels) string {
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// Could be a collision problem if there were two keys that varied only in case, but I don't think that would happen in azure.
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lowerLabels := data.Labels{}
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for k, v := range labels {
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lowerLabels[strings.ToLower(k)] = v
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}
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keys := make([]string, 0, len(labels))
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for k := range lowerLabels {
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keys = append(keys, k)
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}
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keys = sort.StringSlice(keys)
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result := legendKeyFormat.ReplaceAllFunc([]byte(alias), func(in []byte) []byte {
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metaPartName := strings.Replace(string(in), "{{", "", 1)
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metaPartName = strings.Replace(metaPartName, "}}", "", 1)
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metaPartName = strings.ToLower(strings.TrimSpace(metaPartName))
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switch metaPartName {
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case "metric":
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return []byte(metricName)
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case "dimensionname", "groupbyname":
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return []byte(keys[0])
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case "dimensionvalue", "groupbyvalue":
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return []byte(lowerLabels[keys[0]])
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}
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if v, ok := lowerLabels[metaPartName]; ok {
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return []byte(v)
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}
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return in
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})
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return string(result)
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}
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func applyInsightsMetricAlias(frame *data.Frame, alias string) {
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if alias == "" {
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return
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}
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for _, field := range frame.Fields {
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if field.Type() == data.FieldTypeTime || field.Type() == data.FieldTypeNullableTime {
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continue
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}
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displayName := formatApplicationInsightsLegendKey(alias, field.Name, field.Labels)
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if field.Config == nil {
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field.Config = &data.FieldConfig{}
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}
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field.Config.DisplayName = displayName
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}
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}
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