telegraf/internal/models/running_processor.go

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package models
import (
"sync"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/selfstat"
)
type RunningProcessor struct {
sync.Mutex
log telegraf.Logger
Processor telegraf.Processor
Config *ProcessorConfig
}
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type RunningProcessors []*RunningProcessor
func (rp RunningProcessors) Len() int { return len(rp) }
func (rp RunningProcessors) Swap(i, j int) { rp[i], rp[j] = rp[j], rp[i] }
func (rp RunningProcessors) Less(i, j int) bool { return rp[i].Config.Order < rp[j].Config.Order }
// FilterConfig containing a name and filter
type ProcessorConfig struct {
Name string
Alias string
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Order int64
Filter Filter
}
func NewRunningProcessor(processor telegraf.Processor, config *ProcessorConfig) *RunningProcessor {
tags := map[string]string{"processor": config.Name}
if config.Alias != "" {
tags["alias"] = config.Alias
}
logger := &Logger{
Name: logName("processors", config.Name, config.Alias),
Errs: selfstat.Register("process", "errors", tags),
}
setLogIfExist(processor, logger)
return &RunningProcessor{
Processor: processor,
Config: config,
log: logger,
}
}
func (rp *RunningProcessor) metricFiltered(metric telegraf.Metric) {
metric.Drop()
}
func containsMetric(item telegraf.Metric, metrics []telegraf.Metric) bool {
for _, m := range metrics {
if item == m {
return true
}
}
return false
}
func (r *RunningProcessor) Init() error {
if p, ok := r.Processor.(telegraf.Initializer); ok {
err := p.Init()
if err != nil {
return err
}
}
return nil
}
func (rp *RunningProcessor) Apply(in ...telegraf.Metric) []telegraf.Metric {
rp.Lock()
defer rp.Unlock()
ret := []telegraf.Metric{}
for _, metric := range in {
// In processors when a filter selects a metric it is sent through the
// processor. Otherwise the metric continues downstream unmodified.
if ok := rp.Config.Filter.Select(metric); !ok {
ret = append(ret, metric)
continue
}
rp.Config.Filter.Modify(metric)
if len(metric.FieldList()) == 0 {
rp.metricFiltered(metric)
continue
}
// This metric should pass through the filter, so call the filter Apply
// function and append results to the output slice.
ret = append(ret, rp.Processor.Apply(metric)...)
}
return ret
}