initial pipeline for functions processing
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@@ -122,8 +122,6 @@ func (ds *ZabbixDatasource) QueryData(ctx context.Context, req *backend.QueryDat
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ds.logger.Debug("DS query", "query", q)
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if err != nil {
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res.Error = err
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} else if len(query.Functions) > 0 {
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res.Error = ErrFunctionsNotSupported
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} else if query.Mode != 0 {
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res.Error = ErrNonMetricQueryNotSupported
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} else {
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40
pkg/datasource/functions.go
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40
pkg/datasource/functions.go
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@@ -0,0 +1,40 @@
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package datasource
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import (
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"fmt"
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"time"
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"github.com/alexanderzobnin/grafana-zabbix/pkg/timeseries"
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)
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var errFunctionNotSupported = func(name string) error {
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return fmt.Errorf("function not supported: %s", name)
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}
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type DataProcessingFunc = func(series timeseries.TimeSeries, params ...string) timeseries.TimeSeries
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var funcMap map[string]DataProcessingFunc
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func init() {
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funcMap = make(map[string]DataProcessingFunc)
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funcMap["groupBy"] = applyGroupBy
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}
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func applyFunctions(series []*timeseries.TimeSeriesData, functions []QueryFunction) ([]*timeseries.TimeSeriesData, error) {
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for _, f := range functions {
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if applyFunc, ok := funcMap[f.Def.Name]; ok {
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for _, s := range series {
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s.TS = applyFunc(s.TS, f.Params...)
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}
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} else {
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err := errFunctionNotSupported(f.Def.Name)
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return series, err
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}
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}
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return series, nil
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}
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func applyGroupBy(series timeseries.TimeSeries, params ...string) timeseries.TimeSeries {
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s := series.GroupBy(time.Minute, "avg")
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return s
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}
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@@ -75,6 +75,10 @@ func (ds *ZabbixDatasourceInstance) queryNumericDataForItems(ctx context.Context
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series := convertHistoryToTimeSeries(history, items)
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// TODO: handle time series functions
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series, err = applyFunctions(series, query.Functions)
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if err != nil {
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return nil, err
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}
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frame := convertTimeSeriesToDataFrame(series)
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@@ -30,6 +30,10 @@ func (tsd *TimeSeriesData) Add(point TimePoint) *TimeSeriesData {
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return tsd
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}
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func (ts TimeSeries) GroupBy(interval time.Duration, agg string) TimeSeries {
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return ts
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}
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// Aligns point's time stamps according to provided interval.
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func (ts TimeSeries) Align(interval time.Duration) TimeSeries {
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if interval <= 0 || ts.Len() < 2 {
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