prometheus/model/textparse/openmetricsparse.go
cui 54d4f527a0
textparse: fix NaN canonicalization check in OpenMetrics getFloatValue (#18399)
* textparse: fix NaN canonicalization check in OpenMetrics getFloatValue
* textparse: add tests for OpenMetrics summary NaN quantiles

getFloatValue was testing p.exemplarVal instead of the parsed float when normalizing NaN to the canonical representation, so metric values that were NaN were not normalized correctly.

Extend TestOpenMetricsParse with nansum summary lines and cmpopts.EquateNaNs in requireEntries so NaN float values compare equal after canonicalization.

Signed-off-by: Weixie Cui <cuiweixie@gmail.com>
Signed-off-by: cui <cuiweixie@gmail.com>
Co-authored-by: George Krajcsovits <krajorama@users.noreply.github.com>
2026-05-12 15:45:59 +02:00

783 lines
23 KiB
Go

// Copyright The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//go:generate go get -u modernc.org/golex
//go:generate golex -o=openmetricslex.l.go openmetricslex.l
package textparse
import (
"bytes"
"errors"
"fmt"
"io"
"math"
"strconv"
"strings"
"unicode/utf8"
"github.com/cespare/xxhash/v2"
"github.com/prometheus/common/model"
"github.com/prometheus/prometheus/model/exemplar"
"github.com/prometheus/prometheus/model/histogram"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/model/value"
"github.com/prometheus/prometheus/schema"
)
type openMetricsLexer struct {
b []byte
i int
start int
err error
state int
}
// buf returns the buffer of the current token.
func (l *openMetricsLexer) buf() []byte {
return l.b[l.start:l.i]
}
// next advances the openMetricsLexer to the next character.
func (l *openMetricsLexer) next() byte {
l.i++
if l.i >= len(l.b) {
l.err = io.EOF
return byte(tEOF)
}
// Lex struggles with null bytes. If we are in a label value or help string, where
// they are allowed, consume them here immediately.
for l.b[l.i] == 0 && (l.state == sLValue || l.state == sMeta2 || l.state == sComment) {
l.i++
if l.i >= len(l.b) {
l.err = io.EOF
return byte(tEOF)
}
}
return l.b[l.i]
}
func (l *openMetricsLexer) Error(es string) {
l.err = errors.New(es)
}
// OpenMetricsParser parses samples from a byte slice of samples in the official
// OpenMetrics text exposition format.
// Specification can be found at https://prometheus.io/docs/specs/om/open_metrics_spec/
type OpenMetricsParser struct {
l *openMetricsLexer
builder labels.ScratchBuilder
series []byte
mfNameLen int // length of metric family name to get from series.
text []byte
mtype model.MetricType
unit string
val float64
ts int64
hasTS bool
start int
// offsets is a list of offsets into series that describe the positions
// of the metric name and label names and values for this series.
// p.offsets[0] is the start character of the metric name.
// p.offsets[1] is the end of the metric name.
// Subsequently, p.offsets is a pair of pair of offsets for the positions
// of the label name and value start and end characters.
offsets []int
eOffsets []int
exemplar []byte
exemplarVal float64
exemplarTs int64
hasExemplarTs bool
// Start timestamp parsing state.
st int64
stHashSet uint64
// ignoreExemplar instructs the parser to not overwrite exemplars (to keep them while peeking ahead).
ignoreExemplar bool
// visitedMFName is the metric family name of the last visited metric when peeking ahead
// for _created series during the execution of the StartTimestamp method.
visitedMFName []byte
skipSTSeries bool
enableTypeAndUnitLabels bool
}
type openMetricsParserOptions struct {
skipSTSeries bool
enableTypeAndUnitLabels bool
}
type OpenMetricsOption func(*openMetricsParserOptions)
// WithOMParserSTSeriesSkipped turns off exposing _created lines
// as series, which makes those only used for parsing start timestamp
// for `StartTimestamp` method purposes.
//
// It's recommended to use this option to avoid using _created lines for other
// purposes than start timestamp, but leave false by default for the
// best-effort compatibility.
func WithOMParserSTSeriesSkipped() OpenMetricsOption {
return func(o *openMetricsParserOptions) {
o.skipSTSeries = true
}
}
// WithOMParserTypeAndUnitLabels enables type-and-unit-labels mode
// in which parser injects __type__ and __unit__ into labels.
func WithOMParserTypeAndUnitLabels() OpenMetricsOption {
return func(o *openMetricsParserOptions) {
o.enableTypeAndUnitLabels = true
}
}
// NewOpenMetricsParser returns a new parser for the byte slice with option to skip ST series parsing.
func NewOpenMetricsParser(b []byte, st *labels.SymbolTable, opts ...OpenMetricsOption) Parser {
options := &openMetricsParserOptions{}
for _, opt := range opts {
opt(options)
}
parser := &OpenMetricsParser{
l: &openMetricsLexer{b: b},
builder: labels.NewScratchBuilderWithSymbolTable(st, 16),
skipSTSeries: options.skipSTSeries,
enableTypeAndUnitLabels: options.enableTypeAndUnitLabels,
}
return parser
}
// Series returns the bytes of the series, the timestamp if set, and the value
// of the current sample.
func (p *OpenMetricsParser) Series() ([]byte, *int64, float64) {
if p.hasTS {
ts := p.ts
return p.series, &ts, p.val
}
return p.series, nil, p.val
}
// Histogram returns (nil, nil, nil, nil) for now because OpenMetrics does not
// support sparse histograms yet.
func (*OpenMetricsParser) Histogram() ([]byte, *int64, *histogram.Histogram, *histogram.FloatHistogram) {
return nil, nil, nil, nil
}
// Help returns the metric name and help text in the current entry.
// Must only be called after Next returned a help entry.
// The returned byte slices become invalid after the next call to Next.
func (p *OpenMetricsParser) Help() ([]byte, []byte) {
m := p.l.b[p.offsets[0]:p.offsets[1]]
// Replacer causes allocations. Replace only when necessary.
if bytes.IndexByte(p.text, byte('\\')) >= 0 {
// OpenMetrics always uses the Prometheus format label value escaping.
return m, []byte(lvalReplacer.Replace(string(p.text)))
}
return m, p.text
}
// Type returns the metric name and type in the current entry.
// Must only be called after Next returned a type entry.
// The returned byte slices become invalid after the next call to Next.
func (p *OpenMetricsParser) Type() ([]byte, model.MetricType) {
return p.l.b[p.offsets[0]:p.offsets[1]], p.mtype
}
// Unit returns the metric name and unit in the current entry.
// Must only be called after Next returned a unit entry.
// The returned byte slices become invalid after the next call to Next.
func (p *OpenMetricsParser) Unit() ([]byte, []byte) {
return p.l.b[p.offsets[0]:p.offsets[1]], []byte(p.unit)
}
// Comment returns the text of the current comment.
// Must only be called after Next returned a comment entry.
// The returned byte slice becomes invalid after the next call to Next.
func (p *OpenMetricsParser) Comment() []byte {
return p.text
}
// Labels writes the labels of the current sample into the passed labels.
func (p *OpenMetricsParser) Labels(l *labels.Labels) {
// Defensive copy in case the following keeps a reference.
// See https://github.com/prometheus/prometheus/issues/16490
s := string(p.series)
p.builder.Reset()
metricName := unreplace(s[p.offsets[0]-p.start : p.offsets[1]-p.start])
m := schema.Metadata{
Name: metricName,
Type: p.mtype,
Unit: p.unit,
}
if p.enableTypeAndUnitLabels {
m.AddToLabels(&p.builder)
} else {
p.builder.Add(labels.MetricName, metricName)
}
for i := 2; i < len(p.offsets); i += 4 {
a := p.offsets[i] - p.start
b := p.offsets[i+1] - p.start
label := unreplace(s[a:b])
if p.enableTypeAndUnitLabels && !m.IsEmptyFor(label) {
// Dropping user provided metadata labels, if found in the OM metadata.
continue
}
c := p.offsets[i+2] - p.start
d := p.offsets[i+3] - p.start
value := normalizeFloatsInLabelValues(p.mtype, label, unreplace(s[c:d]))
p.builder.Add(label, value)
}
p.builder.Sort()
*l = p.builder.Labels()
}
// Exemplar writes the exemplar of the current sample into the passed exemplar.
// It returns whether an exemplar exists. As OpenMetrics only ever has one
// exemplar per sample, every call after the first (for the same sample) will
// always return false.
func (p *OpenMetricsParser) Exemplar(e *exemplar.Exemplar) bool {
if len(p.exemplar) == 0 {
return false
}
// Allocate the full immutable string immediately, so we just
// have to create references on it below.
s := string(p.exemplar)
e.Value = p.exemplarVal
if p.hasExemplarTs {
e.HasTs = true
e.Ts = p.exemplarTs
}
p.builder.Reset()
for i := 0; i < len(p.eOffsets); i += 4 {
a := p.eOffsets[i] - p.start
b := p.eOffsets[i+1] - p.start
c := p.eOffsets[i+2] - p.start
d := p.eOffsets[i+3] - p.start
p.builder.Add(s[a:b], s[c:d])
}
p.builder.Sort()
e.Labels = p.builder.Labels()
// Wipe exemplar so that future calls return false.
p.exemplar = p.exemplar[:0]
return true
}
// StartTimestamp returns the start timestamp for a current Metric if exists or nil.
// NOTE(Maniktherana): Might use additional CPU/mem resources due to deep copy of parser required for peeking given 1.0 OM specification on _created series.
func (p *OpenMetricsParser) StartTimestamp() int64 {
if !typeRequiresST(p.mtype) {
// Not a ST supported metric type, fast path.
p.stHashSet = 0 // Use stHashSet as a single way of telling "empty cache"
return 0
}
var (
buf []byte
currName []byte
)
if len(p.series) > 1 && p.series[0] == '{' && p.series[1] == '"' {
// special case for UTF-8 encoded metric family names.
currName = p.series[p.offsets[0]-p.start : p.mfNameLen+2]
} else {
currName = p.series[p.offsets[0]-p.start : p.mfNameLen]
}
currHash := p.seriesHash(&buf, currName)
// Check cache, perhaps we fetched something already.
if currHash == p.stHashSet && p.st > 0 {
return p.st
}
// Create a new lexer and other core state details to reset the parser once this function is done executing.
resetLexer := &openMetricsLexer{
b: p.l.b,
i: p.l.i,
start: p.l.start,
err: p.l.err,
state: p.l.state,
}
resetStart := p.start
resetMType := p.mtype
p.skipSTSeries = false
p.ignoreExemplar = true
defer func() {
p.l = resetLexer
p.start = resetStart
p.mtype = resetMType
p.ignoreExemplar = false
}()
for {
eType, err := p.Next()
if err != nil {
// This means p.Next() will give error too later on, so def no ST line found.
// This might result in partial scrape with wrong/missing ST, but only
// spec improvement would help.
// TODO: Make sure OM 1.1/2.0 pass ST via metadata or exemplar-like to avoid this.
p.resetSTParseValues()
return 0
}
if eType != EntrySeries {
// Assume we hit different family, no ST line found.
p.resetSTParseValues()
return 0
}
peekedName := p.series[p.offsets[0]-p.start : p.offsets[1]-p.start]
if len(peekedName) < 8 || string(peekedName[len(peekedName)-8:]) != "_created" {
// Not a ST line, search more.
continue
}
// Remove _created suffix.
peekedHash := p.seriesHash(&buf, peekedName[:len(peekedName)-8])
if peekedHash != currHash {
// Found ST line for a different series, for our series no ST.
p.resetSTParseValues()
return 0
}
// All timestamps in OpenMetrics are Unix Epoch in seconds. Convert to milliseconds.
// https://github.com/prometheus/OpenMetrics/blob/v1.0.0/specification/OpenMetrics.md#timestamps
st := int64(p.val * 1000.0)
p.setSTParseValues(st, currHash, currName, true)
return st
}
}
var (
leBytes = []byte{108, 101}
quantileBytes = []byte{113, 117, 97, 110, 116, 105, 108, 101}
)
// seriesHash generates a hash based on the metric family name and the offsets
// of label names and values from the parsed OpenMetrics data. It skips quantile
// and le labels for summaries and histograms respectively.
func (p *OpenMetricsParser) seriesHash(offsetsArr *[]byte, metricFamilyName []byte) uint64 {
// Iterate through p.offsets to find the label names and values.
for i := 2; i < len(p.offsets); i += 4 {
lStart := p.offsets[i] - p.start
lEnd := p.offsets[i+1] - p.start
label := p.series[lStart:lEnd]
// Skip quantile and le labels for summaries and histograms.
if p.mtype == model.MetricTypeSummary && bytes.Equal(label, quantileBytes) {
continue
}
if p.mtype == model.MetricTypeHistogram && bytes.Equal(label, leBytes) {
continue
}
*offsetsArr = append(*offsetsArr, p.series[lStart:lEnd]...)
vStart := p.offsets[i+2] - p.start
vEnd := p.offsets[i+3] - p.start
*offsetsArr = append(*offsetsArr, p.series[vStart:vEnd]...)
}
*offsetsArr = append(*offsetsArr, metricFamilyName...)
hashedOffsets := xxhash.Sum64(*offsetsArr)
// Reset the offsets array for later reuse.
*offsetsArr = (*offsetsArr)[:0]
return hashedOffsets
}
// setSTParseValues sets the parser to the state after StartTimestamp method was called and ST was found.
// This is useful to prevent re-parsing the same series again and early return the ST value.
func (p *OpenMetricsParser) setSTParseValues(st int64, stHashSet uint64, mfName []byte, skipSTSeries bool) {
p.st = st
p.stHashSet = stHashSet
p.visitedMFName = mfName
p.skipSTSeries = skipSTSeries // Do we need to set it?
}
// resetSTParseValues resets the parser to the state before StartTimestamp method was called.
func (p *OpenMetricsParser) resetSTParseValues() {
p.stHashSet = 0
p.skipSTSeries = true
}
// typeRequiresST returns true if the metric type requires a _created timestamp.
func typeRequiresST(t model.MetricType) bool {
switch t {
case model.MetricTypeCounter, model.MetricTypeSummary, model.MetricTypeHistogram:
return true
default:
return false
}
}
// nextToken returns the next token from the openMetricsLexer.
func (p *OpenMetricsParser) nextToken() token {
tok := p.l.Lex()
return tok
}
func (p *OpenMetricsParser) parseError(exp string, got token) error {
e := min(len(p.l.b), p.l.i+1)
return fmt.Errorf("%s, got %q (%q) while parsing: %q", exp, p.l.b[p.l.start:e], got, p.l.b[p.start:e])
}
// Next advances the parser to the next sample.
// It returns (EntryInvalid, io.EOF) if no samples were read.
func (p *OpenMetricsParser) Next() (Entry, error) {
var err error
p.start = p.l.i
p.offsets = p.offsets[:0]
if !p.ignoreExemplar {
p.eOffsets = p.eOffsets[:0]
p.exemplar = p.exemplar[:0]
p.exemplarVal = 0
p.hasExemplarTs = false
}
switch t := p.nextToken(); t {
case tEOFWord:
if t := p.nextToken(); t != tEOF {
return EntryInvalid, errors.New("unexpected data after # EOF")
}
return EntryInvalid, io.EOF
case tEOF:
return EntryInvalid, errors.New("data does not end with # EOF")
case tHelp, tType, tUnit:
switch t2 := p.nextToken(); t2 {
case tMName:
mStart := p.l.start
mEnd := p.l.i
if p.l.b[mStart] == '"' && p.l.b[mEnd-1] == '"' {
mStart++
mEnd--
}
p.mfNameLen = mEnd - mStart
p.offsets = append(p.offsets, mStart, mEnd)
default:
return EntryInvalid, p.parseError("expected metric name after "+t.String(), t2)
}
switch t2 := p.nextToken(); t2 {
case tText:
if len(p.l.buf()) > 1 {
p.text = p.l.buf()[1 : len(p.l.buf())-1]
} else {
p.text = []byte{}
}
default:
return EntryInvalid, fmt.Errorf("expected text in %s", t.String())
}
switch t {
case tType:
switch s := yoloString(p.text); s {
case "counter":
p.mtype = model.MetricTypeCounter
case "gauge":
p.mtype = model.MetricTypeGauge
case "histogram":
p.mtype = model.MetricTypeHistogram
case "gaugehistogram":
p.mtype = model.MetricTypeGaugeHistogram
case "summary":
p.mtype = model.MetricTypeSummary
case "info":
p.mtype = model.MetricTypeInfo
case "stateset":
p.mtype = model.MetricTypeStateset
case "unknown":
p.mtype = model.MetricTypeUnknown
default:
return EntryInvalid, fmt.Errorf("invalid metric type %q", s)
}
case tHelp:
if !utf8.Valid(p.text) {
return EntryInvalid, fmt.Errorf("help text %q is not a valid utf8 string", p.text)
}
}
switch t {
case tHelp:
return EntryHelp, nil
case tType:
return EntryType, nil
case tUnit:
p.unit = string(p.text)
m := yoloString(p.l.b[p.offsets[0]:p.offsets[1]])
if p.unit != "" {
if !strings.HasSuffix(m, p.unit) || len(m) < len(p.unit)+1 || p.l.b[p.offsets[1]-len(p.unit)-1] != '_' {
return EntryInvalid, fmt.Errorf("unit %q not a suffix of metric %q", p.unit, m)
}
}
return EntryUnit, nil
}
case tBraceOpen:
// We found a brace, so make room for the eventual metric name. If these
// values aren't updated, then the metric name was not set inside the
// braces and we can return an error.
if len(p.offsets) == 0 {
p.offsets = []int{-1, -1}
}
if p.offsets, err = p.parseLVals(p.offsets, false); err != nil {
return EntryInvalid, err
}
p.series = p.l.b[p.start:p.l.i]
if err := p.parseSeriesEndOfLine(p.nextToken()); err != nil {
return EntryInvalid, err
}
if p.skipSTSeries && p.isCreatedSeries() {
return p.Next()
}
return EntrySeries, nil
case tMName:
p.offsets = append(p.offsets, p.start, p.l.i)
p.series = p.l.b[p.start:p.l.i]
t2 := p.nextToken()
if t2 == tBraceOpen {
p.offsets, err = p.parseLVals(p.offsets, false)
if err != nil {
return EntryInvalid, err
}
p.series = p.l.b[p.start:p.l.i]
t2 = p.nextToken()
}
if err := p.parseSeriesEndOfLine(t2); err != nil {
return EntryInvalid, err
}
if p.skipSTSeries && p.isCreatedSeries() {
return p.Next()
}
return EntrySeries, nil
default:
err = p.parseError("expected a valid start token", t)
}
return EntryInvalid, err
}
func (p *OpenMetricsParser) parseComment() error {
var err error
if p.ignoreExemplar {
for t := p.nextToken(); t != tLinebreak; t = p.nextToken() {
if t == tEOF {
return errors.New("data does not end with # EOF")
}
}
return nil
}
// Parse the labels.
p.eOffsets, err = p.parseLVals(p.eOffsets, true)
if err != nil {
return err
}
p.exemplar = p.l.b[p.start:p.l.i]
// Get the value.
p.exemplarVal, err = p.getFloatValue(p.nextToken(), "exemplar labels")
if err != nil {
return err
}
// Read the optional timestamp.
p.hasExemplarTs = false
switch t2 := p.nextToken(); t2 {
case tEOF:
return errors.New("data does not end with # EOF")
case tLinebreak:
break
case tTimestamp:
p.hasExemplarTs = true
var ts float64
// A float is enough to hold what we need for millisecond resolution.
if ts, err = parseFloat(yoloString(p.l.buf()[1:])); err != nil {
return fmt.Errorf("%w while parsing: %q", err, p.l.b[p.start:p.l.i])
}
if math.IsNaN(ts) || math.IsInf(ts, 0) {
return fmt.Errorf("invalid exemplar timestamp %f", ts)
}
p.exemplarTs = int64(ts * 1000)
switch t3 := p.nextToken(); t3 {
case tLinebreak:
default:
return p.parseError("expected next entry after exemplar timestamp", t3)
}
default:
return p.parseError("expected timestamp or comment", t2)
}
return nil
}
func (p *OpenMetricsParser) parseLVals(offsets []int, isExemplar bool) ([]int, error) {
t := p.nextToken()
for {
curTStart := p.l.start
curTI := p.l.i
var isQString bool
switch t {
case tBraceClose:
return offsets, nil
case tLName:
case tQString:
isQString = true
default:
return nil, p.parseError("expected label name", t)
}
t = p.nextToken()
// A quoted string followed by a comma or brace is a metric name. Set the
// offsets and continue processing. If this is an exemplar, this format
// is not allowed.
if isQString && (t == tComma || t == tBraceClose) {
if isExemplar {
return nil, p.parseError("expected label name", t)
}
if offsets[0] != -1 || offsets[1] != -1 {
return nil, fmt.Errorf("metric name already set while parsing: %q", p.l.b[p.start:p.l.i])
}
offsets[0] = curTStart + 1
offsets[1] = curTI - 1
if t == tBraceClose {
return offsets, nil
}
t = p.nextToken()
continue
}
// We have a label name, and it might be quoted.
if p.l.b[curTStart] == '"' {
curTStart++
curTI--
}
offsets = append(offsets, curTStart, curTI)
if t != tEqual {
return nil, p.parseError("expected equal", t)
}
if t := p.nextToken(); t != tLValue {
return nil, p.parseError("expected label value", t)
}
if !utf8.Valid(p.l.buf()) {
return nil, fmt.Errorf("invalid UTF-8 label value: %q", p.l.buf())
}
// The openMetricsLexer ensures the value string is quoted. Strip first
// and last character.
offsets = append(offsets, p.l.start+1, p.l.i-1)
// Free trailing commas are allowed.
t = p.nextToken()
if t == tComma {
t = p.nextToken()
} else if t != tBraceClose {
return nil, p.parseError("expected comma or brace close", t)
}
}
}
// isCreatedSeries returns true if the current series is a _created series.
func (p *OpenMetricsParser) isCreatedSeries() bool {
metricName := p.series[p.offsets[0]-p.start : p.offsets[1]-p.start]
// check length so the metric is longer than len("_created")
if typeRequiresST(p.mtype) && len(metricName) >= 8 && string(metricName[len(metricName)-8:]) == "_created" {
return true
}
return false
}
// parseSeriesEndOfLine parses the series end of the line (value, optional
// timestamp, commentary, etc.) after the metric name and labels.
// It starts parsing with the provided token.
func (p *OpenMetricsParser) parseSeriesEndOfLine(t token) error {
if p.offsets[0] == -1 {
return fmt.Errorf("metric name not set while parsing: %q", p.l.b[p.start:p.l.i])
}
var err error
p.val, err = p.getFloatValue(t, "metric")
if err != nil {
return err
}
p.hasTS = false
switch t2 := p.nextToken(); t2 {
case tEOF:
return errors.New("data does not end with # EOF")
case tLinebreak:
break
case tComment:
if err := p.parseComment(); err != nil {
return err
}
case tTimestamp:
p.hasTS = true
var ts float64
// A float is enough to hold what we need for millisecond resolution.
if ts, err = parseFloat(yoloString(p.l.buf()[1:])); err != nil {
return fmt.Errorf("%w while parsing: %q", err, p.l.b[p.start:p.l.i])
}
if math.IsNaN(ts) || math.IsInf(ts, 0) {
return fmt.Errorf("invalid timestamp %f", ts)
}
p.ts = int64(ts * 1000)
switch t3 := p.nextToken(); t3 {
case tLinebreak:
case tComment:
if err := p.parseComment(); err != nil {
return err
}
default:
return p.parseError("expected next entry after timestamp", t3)
}
}
return nil
}
func (p *OpenMetricsParser) getFloatValue(t token, after string) (float64, error) {
if t != tValue {
return 0, p.parseError(fmt.Sprintf("expected value after %v", after), t)
}
val, err := parseFloat(yoloString(p.l.buf()[1:]))
if err != nil {
return 0, fmt.Errorf("%w while parsing: %q", err, p.l.b[p.start:p.l.i])
}
// Ensure canonical NaN value.
if math.IsNaN(val) {
val = math.Float64frombits(value.NormalNaN)
}
return val, nil
}
// normalizeFloatsInLabelValues ensures that values of the "le" labels of classic histograms and "quantile" labels
// of summaries follow OpenMetrics formatting rules.
func normalizeFloatsInLabelValues(t model.MetricType, l, v string) string {
if (t == model.MetricTypeSummary && l == model.QuantileLabel) || (t == model.MetricTypeHistogram && l == model.BucketLabel) {
f, err := strconv.ParseFloat(v, 64)
if err == nil {
return labels.FormatOpenMetricsFloat(f)
}
}
return v
}