func (tm *testModel) storeInModel(r Resolution, data tspb.TimeSeriesData) { // Note the source, used to construct keys for model queries. tm.seenSources[data.Source] = struct{}{} // Process and store data in the model. internalData, err := data.ToInternal(r.KeyDuration(), r.SampleDuration()) if err != nil { tm.t.Fatalf("test could not convert time series to internal format: %s", err.Error()) } for _, idata := range internalData { key := MakeDataKey(data.Name, data.Source, r, idata.StartTimestampNanos) keyStr := string(key) existing, ok := tm.modelData[keyStr] var newTs roachpb.InternalTimeSeriesData if ok { existingTs, err := existing.GetTimeseries() if err != nil { tm.t.Fatalf("test could not extract time series from existing model value: %s", err.Error()) } newTs, err = engine.MergeInternalTimeSeriesData(existingTs, idata) if err != nil { tm.t.Fatalf("test could not merge time series into model value: %s", err.Error()) } } else { newTs, err = engine.MergeInternalTimeSeriesData(idata) if err != nil { tm.t.Fatalf("test could not merge time series into model value: %s", err.Error()) } } var val roachpb.Value if err := val.SetProto(&newTs); err != nil { tm.t.Fatal(err) } tm.modelData[keyStr] = val } }