// startLabelValue represents the state where the next byte read from p.buf is
// the start of a (quoted) label value (or whitespace leading up to it).
func (p *TextParser) startLabelValue() stateFn {
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentByte != '"' {
p.parseError(fmt.Sprintf("expected '\"' at start of label value, found %q", p.currentByte))
return nil
}
if p.readTokenAsLabelValue(); p.err != nil {
return nil
}
p.currentLabelPair.Value = proto.String(p.currentToken.String())
// Special treatment of summaries:
// - Quantile labels are special, will result in dto.Quantile later.
// - Other labels have to be added to currentLabels for signature calculation.
if p.currentMF.GetType() == dto.MetricType_SUMMARY {
if p.currentLabelPair.GetName() == model.QuantileLabel {
if p.currentQuantile, p.err = strconv.ParseFloat(p.currentLabelPair.GetValue(), 64); p.err != nil {
// Create a more helpful error message.
p.parseError(fmt.Sprintf("expected float as value for 'quantile' label, got %q", p.currentLabelPair.GetValue()))
return nil
}
} else {
p.currentLabels[p.currentLabelPair.GetName()] = p.currentLabelPair.GetValue()
}
}
// Similar special treatment of histograms.
if p.currentMF.GetType() == dto.MetricType_HISTOGRAM {
if p.currentLabelPair.GetName() == model.BucketLabel {
if p.currentBucket, p.err = strconv.ParseFloat(p.currentLabelPair.GetValue(), 64); p.err != nil {
// Create a more helpful error message.
p.parseError(fmt.Sprintf("expected float as value for 'le' label, got %q", p.currentLabelPair.GetValue()))
return nil
}
} else {
p.currentLabels[p.currentLabelPair.GetName()] = p.currentLabelPair.GetValue()
}
}
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
switch p.currentByte {
case ',':
return p.startLabelName
case '}':
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
return p.readingValue
default:
p.parseError(fmt.Sprintf("unexpected end of label value %q", p.currentLabelPair.Value))
return nil
}
}
// readingHelp represents the state where the last byte read (now in
// p.currentByte) is the first byte of the docstring after 'HELP'.
func (p *TextParser) readingHelp() stateFn {
if p.currentMF.Help != nil {
p.parseError(fmt.Sprintf("second HELP line for metric name %q", p.currentMF.GetName()))
return nil
}
// Rest of line is the docstring.
if p.readTokenUntilNewline(true); p.err != nil {
return nil // Unexpected end of input.
}
p.currentMF.Help = proto.String(p.currentToken.String())
return p.startOfLine
}
func makeLabelPairs(desc *Desc, labelValues []string) []*dto.LabelPair {
totalLen := len(desc.variableLabels) + len(desc.constLabelPairs)
if totalLen == 0 {
// Super fast path.
return nil
}
if len(desc.variableLabels) == 0 {
// Moderately fast path.
return desc.constLabelPairs
}
labelPairs := make([]*dto.LabelPair, 0, totalLen)
for i, n := range desc.variableLabels {
labelPairs = append(labelPairs, &dto.LabelPair{
Name: proto.String(n),
Value: proto.String(labelValues[i]),
})
}
for _, lp := range desc.constLabelPairs {
labelPairs = append(labelPairs, lp)
}
sort.Sort(LabelPairSorter(labelPairs))
return labelPairs
}
func protoLabelSet(base, ext model.LabelSet) []*dto.LabelPair {
labels := base.Clone().Merge(ext)
delete(labels, model.MetricNameLabel)
names := make([]string, 0, len(labels))
for ln := range labels {
names = append(names, string(ln))
}
sort.Strings(names)
pairs := make([]*dto.LabelPair, 0, len(labels))
for _, ln := range names {
lv := labels[model.LabelName(ln)]
pairs = append(pairs, &dto.LabelPair{
Name: proto.String(ln),
Value: proto.String(string(lv)),
})
}
return pairs
}
func (p *TextParser) setOrCreateCurrentMF() {
p.currentIsSummaryCount = false
p.currentIsSummarySum = false
p.currentIsHistogramCount = false
p.currentIsHistogramSum = false
name := p.currentToken.String()
if p.currentMF = p.metricFamiliesByName[name]; p.currentMF != nil {
return
}
// Try out if this is a _sum or _count for a summary/histogram.
summaryName := summaryMetricName(name)
if p.currentMF = p.metricFamiliesByName[summaryName]; p.currentMF != nil {
if p.currentMF.GetType() == dto.MetricType_SUMMARY {
if isCount(name) {
p.currentIsSummaryCount = true
}
if isSum(name) {
p.currentIsSummarySum = true
}
return
}
}
histogramName := histogramMetricName(name)
if p.currentMF = p.metricFamiliesByName[histogramName]; p.currentMF != nil {
if p.currentMF.GetType() == dto.MetricType_HISTOGRAM {
if isCount(name) {
p.currentIsHistogramCount = true
}
if isSum(name) {
p.currentIsHistogramSum = true
}
return
}
}
p.currentMF = &dto.MetricFamily{Name: proto.String(name)}
p.metricFamiliesByName[name] = p.currentMF
}
// startLabelName represents the state where the next byte read from p.buf is
// the start of a label name (or whitespace leading up to it).
func (p *TextParser) startLabelName() stateFn {
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentByte == '}' {
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
return p.readingValue
}
if p.readTokenAsLabelName(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentToken.Len() == 0 {
p.parseError(fmt.Sprintf("invalid label name for metric %q", p.currentMF.GetName()))
return nil
}
p.currentLabelPair = &dto.LabelPair{Name: proto.String(p.currentToken.String())}
if p.currentLabelPair.GetName() == string(model.MetricNameLabel) {
p.parseError(fmt.Sprintf("label name %q is reserved", model.MetricNameLabel))
return nil
}
// Special summary/histogram treatment. Don't add 'quantile' and 'le'
// labels to 'real' labels.
if !(p.currentMF.GetType() == dto.MetricType_SUMMARY && p.currentLabelPair.GetName() == model.QuantileLabel) &&
!(p.currentMF.GetType() == dto.MetricType_HISTOGRAM && p.currentLabelPair.GetName() == model.BucketLabel) {
p.currentMetric.Label = append(p.currentMetric.Label, p.currentLabelPair)
}
if p.skipBlankTabIfCurrentBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentByte != '=' {
p.parseError(fmt.Sprintf("expected '=' after label name, found %q", p.currentByte))
return nil
}
return p.startLabelValue
}
// NewDesc allocates and initializes a new Desc. Errors are recorded in the Desc
// and will be reported on registration time. variableLabels and constLabels can
// be nil if no such labels should be set. fqName and help must not be empty.
//
// variableLabels only contain the label names. Their label values are variable
// and therefore not part of the Desc. (They are managed within the Metric.)
//
// For constLabels, the label values are constant. Therefore, they are fully
// specified in the Desc. See the Opts documentation for the implications of
// constant labels.
func NewDesc(fqName, help string, variableLabels []string, constLabels Labels) *Desc {
d := &Desc{
fqName: fqName,
help: help,
variableLabels: variableLabels,
}
if help == "" {
d.err = errors.New("empty help string")
return d
}
if !metricNameRE.MatchString(fqName) {
d.err = fmt.Errorf("%q is not a valid metric name", fqName)
return d
}
// labelValues contains the label values of const labels (in order of
// their sorted label names) plus the fqName (at position 0).
labelValues := make([]string, 1, len(constLabels)+1)
labelValues[0] = fqName
labelNames := make([]string, 0, len(constLabels)+len(variableLabels))
labelNameSet := map[string]struct{}{}
// First add only the const label names and sort them...
for labelName := range constLabels {
if !checkLabelName(labelName) {
d.err = fmt.Errorf("%q is not a valid label name", labelName)
return d
}
labelNames = append(labelNames, labelName)
labelNameSet[labelName] = struct{}{}
}
sort.Strings(labelNames)
// ... so that we can now add const label values in the order of their names.
for _, labelName := range labelNames {
labelValues = append(labelValues, constLabels[labelName])
}
// Now add the variable label names, but prefix them with something that
// cannot be in a regular label name. That prevents matching the label
// dimension with a different mix between preset and variable labels.
for _, labelName := range variableLabels {
if !checkLabelName(labelName) {
d.err = fmt.Errorf("%q is not a valid label name", labelName)
return d
}
labelNames = append(labelNames, "$"+labelName)
labelNameSet[labelName] = struct{}{}
}
if len(labelNames) != len(labelNameSet) {
d.err = errors.New("duplicate label names")
return d
}
vh := hashNew()
for _, val := range labelValues {
vh = hashAdd(vh, val)
vh = hashAddByte(vh, separatorByte)
}
d.id = vh
// Sort labelNames so that order doesn't matter for the hash.
sort.Strings(labelNames)
// Now hash together (in this order) the help string and the sorted
// label names.
lh := hashNew()
lh = hashAdd(lh, help)
lh = hashAddByte(lh, separatorByte)
for _, labelName := range labelNames {
lh = hashAdd(lh, labelName)
lh = hashAddByte(lh, separatorByte)
}
d.dimHash = lh
d.constLabelPairs = make([]*dto.LabelPair, 0, len(constLabels))
for n, v := range constLabels {
d.constLabelPairs = append(d.constLabelPairs, &dto.LabelPair{
Name: proto.String(n),
Value: proto.String(v),
})
}
sort.Sort(LabelPairSorter(d.constLabelPairs))
return d
}
func (r *registry) checkConsistency(metricFamily *dto.MetricFamily, dtoMetric *dto.Metric, desc *Desc, metricHashes map[uint64]struct{}) error {
// Type consistency with metric family.
if metricFamily.GetType() == dto.MetricType_GAUGE && dtoMetric.Gauge == nil ||
metricFamily.GetType() == dto.MetricType_COUNTER && dtoMetric.Counter == nil ||
metricFamily.GetType() == dto.MetricType_SUMMARY && dtoMetric.Summary == nil ||
metricFamily.GetType() == dto.MetricType_HISTOGRAM && dtoMetric.Histogram == nil ||
metricFamily.GetType() == dto.MetricType_UNTYPED && dtoMetric.Untyped == nil {
return fmt.Errorf(
"collected metric %s %s is not a %s",
metricFamily.GetName(), dtoMetric, metricFamily.GetType(),
)
}
// Is the metric unique (i.e. no other metric with the same name and the same label values)?
h := hashNew()
h = hashAdd(h, metricFamily.GetName())
h = hashAddByte(h, separatorByte)
// Make sure label pairs are sorted. We depend on it for the consistency
// check. Label pairs must be sorted by contract. But the point of this
// method is to check for contract violations. So we better do the sort
// now.
sort.Sort(LabelPairSorter(dtoMetric.Label))
for _, lp := range dtoMetric.Label {
h = hashAdd(h, lp.GetValue())
h = hashAddByte(h, separatorByte)
}
if _, exists := metricHashes[h]; exists {
return fmt.Errorf(
"collected metric %s %s was collected before with the same name and label values",
metricFamily.GetName(), dtoMetric,
)
}
metricHashes[h] = struct{}{}
if desc == nil {
return nil // Nothing left to check if we have no desc.
}
// Desc consistency with metric family.
if metricFamily.GetName() != desc.fqName {
return fmt.Errorf(
"collected metric %s %s has name %q but should have %q",
metricFamily.GetName(), dtoMetric, metricFamily.GetName(), desc.fqName,
)
}
if metricFamily.GetHelp() != desc.help {
return fmt.Errorf(
"collected metric %s %s has help %q but should have %q",
metricFamily.GetName(), dtoMetric, metricFamily.GetHelp(), desc.help,
)
}
// Is the desc consistent with the content of the metric?
lpsFromDesc := make([]*dto.LabelPair, 0, len(dtoMetric.Label))
lpsFromDesc = append(lpsFromDesc, desc.constLabelPairs...)
for _, l := range desc.variableLabels {
lpsFromDesc = append(lpsFromDesc, &dto.LabelPair{
Name: proto.String(l),
})
}
if len(lpsFromDesc) != len(dtoMetric.Label) {
return fmt.Errorf(
"labels in collected metric %s %s are inconsistent with descriptor %s",
metricFamily.GetName(), dtoMetric, desc,
)
}
sort.Sort(LabelPairSorter(lpsFromDesc))
for i, lpFromDesc := range lpsFromDesc {
lpFromMetric := dtoMetric.Label[i]
if lpFromDesc.GetName() != lpFromMetric.GetName() ||
lpFromDesc.Value != nil && lpFromDesc.GetValue() != lpFromMetric.GetValue() {
return fmt.Errorf(
"labels in collected metric %s %s are inconsistent with descriptor %s",
metricFamily.GetName(), dtoMetric, desc,
)
}
}
r.mtx.RLock() // Remaining checks need the read lock.
defer r.mtx.RUnlock()
// Is the desc registered?
if _, exist := r.descIDs[desc.id]; !exist {
return fmt.Errorf(
"collected metric %s %s with unregistered descriptor %s",
metricFamily.GetName(), dtoMetric, desc,
)
}
return nil
}
func (r *registry) writePB(encoder expfmt.Encoder) error {
var metricHashes map[uint64]struct{}
if r.collectChecksEnabled {
metricHashes = make(map[uint64]struct{})
}
metricChan := make(chan Metric, capMetricChan)
wg := sync.WaitGroup{}
r.mtx.RLock()
metricFamiliesByName := make(map[string]*dto.MetricFamily, len(r.dimHashesByName))
// Scatter.
// (Collectors could be complex and slow, so we call them all at once.)
wg.Add(len(r.collectorsByID))
go func() {
wg.Wait()
close(metricChan)
}()
for _, collector := range r.collectorsByID {
go func(collector Collector) {
defer wg.Done()
collector.Collect(metricChan)
}(collector)
}
r.mtx.RUnlock()
// Drain metricChan in case of premature return.
defer func() {
for _ = range metricChan {
}
}()
// Gather.
for metric := range metricChan {
// This could be done concurrently, too, but it required locking
// of metricFamiliesByName (and of metricHashes if checks are
// enabled). Most likely not worth it.
desc := metric.Desc()
metricFamily, ok := metricFamiliesByName[desc.fqName]
if !ok {
metricFamily = r.getMetricFamily()
defer r.giveMetricFamily(metricFamily)
metricFamily.Name = proto.String(desc.fqName)
metricFamily.Help = proto.String(desc.help)
metricFamiliesByName[desc.fqName] = metricFamily
}
dtoMetric := r.getMetric()
defer r.giveMetric(dtoMetric)
if err := metric.Write(dtoMetric); err != nil {
// TODO: Consider different means of error reporting so
// that a single erroneous metric could be skipped
// instead of blowing up the whole collection.
return fmt.Errorf("error collecting metric %v: %s", desc, err)
}
switch {
case metricFamily.Type != nil:
// Type already set. We are good.
case dtoMetric.Gauge != nil:
metricFamily.Type = dto.MetricType_GAUGE.Enum()
case dtoMetric.Counter != nil:
metricFamily.Type = dto.MetricType_COUNTER.Enum()
case dtoMetric.Summary != nil:
metricFamily.Type = dto.MetricType_SUMMARY.Enum()
case dtoMetric.Untyped != nil:
metricFamily.Type = dto.MetricType_UNTYPED.Enum()
case dtoMetric.Histogram != nil:
metricFamily.Type = dto.MetricType_HISTOGRAM.Enum()
default:
return fmt.Errorf("empty metric collected: %s", dtoMetric)
}
if r.collectChecksEnabled {
if err := r.checkConsistency(metricFamily, dtoMetric, desc, metricHashes); err != nil {
return err
}
}
metricFamily.Metric = append(metricFamily.Metric, dtoMetric)
}
if r.metricFamilyInjectionHook != nil {
for _, mf := range r.metricFamilyInjectionHook() {
existingMF, exists := metricFamiliesByName[mf.GetName()]
if !exists {
metricFamiliesByName[mf.GetName()] = mf
if r.collectChecksEnabled {
for _, m := range mf.Metric {
if err := r.checkConsistency(mf, m, nil, metricHashes); err != nil {
return err
}
}
}
continue
}
for _, m := range mf.Metric {
if r.collectChecksEnabled {
if err := r.checkConsistency(existingMF, m, nil, metricHashes); err != nil {
return err
}
}
existingMF.Metric = append(existingMF.Metric, m)
}
}
}
// Now that MetricFamilies are all set, sort their Metrics
// lexicographically by their label values.
for _, mf := range metricFamiliesByName {
sort.Sort(metricSorter(mf.Metric))
}
// Write out MetricFamilies sorted by their name.
names := make([]string, 0, len(metricFamiliesByName))
for name := range metricFamiliesByName {
names = append(names, name)
}
sort.Strings(names)
for _, name := range names {
if err := encoder.Encode(metricFamiliesByName[name]); err != nil {
return err
}
}
return nil
}
func (d *json2Decoder) more() error {
var entities []struct {
BaseLabels model.LabelSet `json:"baseLabels"`
Docstring string `json:"docstring"`
Metric struct {
Type string `json:"type"`
Values json.RawMessage `json:"value"`
} `json:"metric"`
}
if err := d.dec.Decode(&entities); err != nil {
return err
}
for _, e := range entities {
f := &dto.MetricFamily{
Name: proto.String(string(e.BaseLabels[model.MetricNameLabel])),
Help: proto.String(e.Docstring),
Type: dto.MetricType_UNTYPED.Enum(),
Metric: []*dto.Metric{},
}
d.fams = append(d.fams, f)
switch e.Metric.Type {
case "counter", "gauge":
var values []counter002
if err := json.Unmarshal(e.Metric.Values, &values); err != nil {
return fmt.Errorf("could not extract %s value: %s", e.Metric.Type, err)
}
for _, ctr := range values {
f.Metric = append(f.Metric, &dto.Metric{
Label: protoLabelSet(e.BaseLabels, ctr.Labels),
Untyped: &dto.Untyped{
Value: proto.Float64(ctr.Value),
},
})
}
case "histogram":
var values []histogram002
if err := json.Unmarshal(e.Metric.Values, &values); err != nil {
return fmt.Errorf("could not extract %s value: %s", e.Metric.Type, err)
}
for _, hist := range values {
quants := make([]string, 0, len(values))
for q := range hist.Values {
quants = append(quants, q)
}
sort.Strings(quants)
for _, q := range quants {
value := hist.Values[q]
// The correct label is "quantile" but to not break old expressions
// this remains "percentile"
hist.Labels["percentile"] = model.LabelValue(q)
f.Metric = append(f.Metric, &dto.Metric{
Label: protoLabelSet(e.BaseLabels, hist.Labels),
Untyped: &dto.Untyped{
Value: proto.Float64(value),
},
})
}
}
default:
return fmt.Errorf("unknown metric type %q", e.Metric.Type)
}
}
return nil
}