github.com/go-graphite/carbonapi@v0.17.0/expr/functions/weightedAverage/function.go (about)

     1  package weightedAverage
     2  
     3  import (
     4  	"context"
     5  	"sort"
     6  
     7  	"github.com/go-graphite/carbonapi/expr/consolidations"
     8  	"github.com/go-graphite/carbonapi/expr/helper"
     9  	"github.com/go-graphite/carbonapi/expr/interfaces"
    10  	"github.com/go-graphite/carbonapi/expr/types"
    11  	"github.com/go-graphite/carbonapi/pkg/parser"
    12  )
    13  
    14  type weightedAverage struct{}
    15  
    16  func GetOrder() interfaces.Order {
    17  	return interfaces.Any
    18  }
    19  
    20  func New(configFile string) []interfaces.FunctionMetadata {
    21  	res := make([]interfaces.FunctionMetadata, 0)
    22  	f := &weightedAverage{}
    23  	functions := []string{"weightedAverage"}
    24  	for _, n := range functions {
    25  		res = append(res, interfaces.FunctionMetadata{Name: n, F: f})
    26  	}
    27  	return res
    28  }
    29  
    30  // weightedAverage(seriesListAvg, seriesListWeight, *nodes)
    31  func (f *weightedAverage) Do(ctx context.Context, eval interfaces.Evaluator, e parser.Expr, from, until int64, values map[parser.MetricRequest][]*types.MetricData) ([]*types.MetricData, error) {
    32  	if e.ArgsLen() < 2 {
    33  		return nil, parser.ErrMissingArgument
    34  	}
    35  
    36  	aggKeyPairs := make(map[string]map[string]*types.MetricData)
    37  	var productList []*types.MetricData
    38  
    39  	avgs, err := helper.GetSeriesArg(ctx, eval, e.Arg(0), from, until, values)
    40  	if err != nil {
    41  		return nil, err
    42  	}
    43  
    44  	weights, err := helper.GetSeriesArg(ctx, eval, e.Arg(1), from, until, values)
    45  	if err != nil {
    46  		return nil, err
    47  	}
    48  
    49  	// TODO: should fail if len(avgs) != len(weights)
    50  	if len(avgs)+len(weights) == 0 {
    51  		return []*types.MetricData{}, nil
    52  	}
    53  
    54  	alignedMetrics := helper.AlignSeries(append(avgs, weights...))
    55  	avgs = alignedMetrics[0:len(avgs)]
    56  	weights = alignedMetrics[len(avgs):]
    57  	xFilesFactor := float64(alignedMetrics[0].XFilesFactor)
    58  
    59  	nodes, err := e.GetNodeOrTagArgs(2, false)
    60  	if err != nil {
    61  		return nil, err
    62  	}
    63  
    64  	avgNames := make([]string, 0, len(avgs))
    65  	weightNames := make([]string, 0, len(weights))
    66  
    67  	for _, metric := range avgs {
    68  		key := helper.AggKey(metric, nodes)
    69  		if val, ok := aggKeyPairs[key]; !ok {
    70  			// Normally, key shouldn't exist
    71  			aggKeyPairs[key] = map[string]*types.MetricData{"avg": metric}
    72  		} else {
    73  			// According to graphite-web, this is overriden, so only the latest `key` is used
    74  			val["avg"] = metric
    75  		}
    76  		avgNames = append(avgNames, metric.Name)
    77  	}
    78  	sort.Strings(avgNames)
    79  
    80  	for _, metric := range weights {
    81  		key := helper.AggKey(metric, nodes)
    82  		if val, ok := aggKeyPairs[key]; !ok {
    83  			// Normally, key shouldn't exist
    84  			aggKeyPairs[key] = map[string]*types.MetricData{"weight": metric}
    85  		} else {
    86  			// According to graphite-web, this is overriden, so only the latest `key` is used
    87  			val["weight"] = metric
    88  		}
    89  		weightNames = append(weightNames, metric.Name)
    90  	}
    91  	sort.Strings(weightNames)
    92  
    93  	for _, pair := range aggKeyPairs {
    94  		if _, ok := pair["avg"]; !ok {
    95  			continue
    96  		}
    97  		if _, ok := pair["weight"]; !ok {
    98  			continue
    99  		}
   100  		product, err := helper.AggregateSeries(e, []*types.MetricData{pair["avg"], pair["weight"]}, consolidations.ConsolidationToFunc["multiply"], xFilesFactor, false)
   101  		if err != nil {
   102  			return nil, err
   103  		}
   104  		productList = append(productList, product...)
   105  	}
   106  	if len(productList) == 0 {
   107  		return []*types.MetricData{}, nil
   108  	}
   109  
   110  	sumProducts, err := helper.AggregateSeries(e, productList, consolidations.AggSum, xFilesFactor, false)
   111  	if err != nil {
   112  		return nil, err
   113  	}
   114  	sumWeights, err := helper.AggregateSeries(e, weights, consolidations.AggSum, xFilesFactor, false)
   115  	if err != nil {
   116  		return nil, err
   117  	}
   118  	weightedAverageSeries, err := helper.AggregateSeries(e, append(sumProducts, sumWeights...), func(v []float64) float64 { return v[0] / v[1] }, xFilesFactor, false)
   119  	if err != nil {
   120  		return nil, err
   121  	}
   122  
   123  	return weightedAverageSeries, nil
   124  }
   125  
   126  // Description is auto-generated description, based on output of https://github.com/graphite-project/graphite-web
   127  func (f *weightedAverage) Description() map[string]types.FunctionDescription {
   128  	return map[string]types.FunctionDescription{
   129  		"weightedAverage": {
   130  			Function: "weightedAverage(seriesListAvg, seriesListWeight, *nodes)",
   131  			Module:   "graphite.render.functions",
   132  			Params: []types.FunctionParam{
   133  				{
   134  					Type:     types.SeriesList,
   135  					Name:     "seriesListAvg",
   136  					Required: true,
   137  				},
   138  				{
   139  					Type:     types.SeriesList,
   140  					Name:     "seriesListWeight",
   141  					Required: true,
   142  				},
   143  				{
   144  					Type:     types.NodeOrTag,
   145  					Name:     "nodes",
   146  					Multiple: true,
   147  				},
   148  			},
   149  			Group:       "Combine",
   150  			Description: "Takes a series of average values and a series of weights and\nproduces a weighted average for all values.\nThe corresponding values should share one or more zero-indexed nodes and/or tags.\n\nExample:\n\n.. code-block:: none\n\n  &target=weightedAverage(*.transactions.mean,*.transactions.count,0)\n\nEach node may be an integer referencing a node in the series name or a string identifying a tag.",
   151  			Name:        "weightedAverage",
   152  		},
   153  	}
   154  }