2018-05-21 22:46:10 +00:00
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package regex
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import (
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"regexp"
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"github.com/influxdata/telegraf"
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"github.com/influxdata/telegraf/plugins/processors"
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)
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type Regex struct {
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Tags []converter
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Fields []converter
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regexCache map[string]*regexp.Regexp
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}
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type converter struct {
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Key string
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Pattern string
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Replacement string
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ResultKey string
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}
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const sampleConfig = `
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## Tag and field conversions defined in a separate sub-tables
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# [[processors.regex.tags]]
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# ## Tag to change
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# key = "resp_code"
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# ## Regular expression to match on a tag value
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# pattern = "^(\\d)\\d\\d$"
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2019-06-13 17:27:17 +00:00
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# ## Matches of the pattern will be replaced with this string. Use ${1}
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# ## notation to use the text of the first submatch.
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2018-05-21 22:46:10 +00:00
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# replacement = "${1}xx"
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# [[processors.regex.fields]]
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2019-06-13 17:27:17 +00:00
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# ## Field to change
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2018-05-21 22:46:10 +00:00
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# key = "request"
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# ## All the power of the Go regular expressions available here
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# ## For example, named subgroups
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2019-06-13 17:27:17 +00:00
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# pattern = "^/api(?P<method>/[\\w/]+)\\S*"
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2018-05-21 22:46:10 +00:00
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# replacement = "${method}"
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# ## If result_key is present, a new field will be created
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# ## instead of changing existing field
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# result_key = "method"
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## Multiple conversions may be applied for one field sequentially
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## Let's extract one more value
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# [[processors.regex.fields]]
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# key = "request"
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# pattern = ".*category=(\\w+).*"
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# replacement = "${1}"
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# result_key = "search_category"
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`
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func NewRegex() *Regex {
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return &Regex{
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regexCache: make(map[string]*regexp.Regexp),
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}
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}
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func (r *Regex) SampleConfig() string {
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return sampleConfig
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}
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func (r *Regex) Description() string {
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return "Transforms tag and field values with regex pattern"
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}
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func (r *Regex) Apply(in ...telegraf.Metric) []telegraf.Metric {
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for _, metric := range in {
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for _, converter := range r.Tags {
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if value, ok := metric.GetTag(converter.Key); ok {
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2018-07-06 23:13:46 +00:00
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if key, newValue := r.convert(converter, value); newValue != "" {
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metric.AddTag(key, newValue)
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}
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2018-05-21 22:46:10 +00:00
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}
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}
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for _, converter := range r.Fields {
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if value, ok := metric.GetField(converter.Key); ok {
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switch value := value.(type) {
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case string:
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2018-07-06 23:13:46 +00:00
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if key, newValue := r.convert(converter, value); newValue != "" {
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metric.AddField(key, newValue)
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}
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2018-05-21 22:46:10 +00:00
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}
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}
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}
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}
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return in
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}
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func (r *Regex) convert(c converter, src string) (string, string) {
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regex, compiled := r.regexCache[c.Pattern]
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if !compiled {
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regex = regexp.MustCompile(c.Pattern)
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r.regexCache[c.Pattern] = regex
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}
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value := ""
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if c.ResultKey == "" || regex.MatchString(src) {
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value = regex.ReplaceAllString(src, c.Replacement)
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}
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if c.ResultKey != "" {
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return c.ResultKey, value
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}
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return c.Key, value
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}
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func init() {
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processors.Add("regex", func() telegraf.Processor {
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return NewRegex()
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})
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}
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