func (h *histogram) Write(out *dto.Metric) error {
his := &dto.Histogram{}
buckets := make([]*dto.Bucket, len(h.upperBounds))
his.SampleSum = proto.Float64(math.Float64frombits(atomic.LoadUint64(&h.sumBits)))
his.SampleCount = proto.Uint64(atomic.LoadUint64(&h.count))
var count uint64
for i, upperBound := range h.upperBounds {
count += atomic.LoadUint64(&h.counts[i])
buckets[i] = &dto.Bucket{
CumulativeCount: proto.Uint64(count),
UpperBound: proto.Float64(upperBound),
}
}
his.Bucket = buckets
out.Histogram = his
out.Label = h.labelPairs
return nil
}
func (h *constHistogram) Write(out *dto.Metric) error {
his := &dto.Histogram{}
buckets := make([]*dto.Bucket, 0, len(h.buckets))
his.SampleCount = proto.Uint64(h.count)
his.SampleSum = proto.Float64(h.sum)
for upperBound, count := range h.buckets {
buckets = append(buckets, &dto.Bucket{
CumulativeCount: proto.Uint64(count),
UpperBound: proto.Float64(upperBound),
})
}
if len(buckets) > 0 {
sort.Sort(buckSort(buckets))
}
his.Bucket = buckets
out.Histogram = his
out.Label = h.labelPairs
return nil
}
func (s *summary) Write(out *dto.Metric) error {
sum := &dto.Summary{}
qs := make([]*dto.Quantile, 0, len(s.objectives))
s.bufMtx.Lock()
s.mtx.Lock()
// Swap bufs even if hotBuf is empty to set new hotBufExpTime.
s.swapBufs(time.Now())
s.bufMtx.Unlock()
s.flushColdBuf()
sum.SampleCount = proto.Uint64(s.cnt)
sum.SampleSum = proto.Float64(s.sum)
for _, rank := range s.sortedObjectives {
var q float64
if s.headStream.Count() == 0 {
q = math.NaN()
} else {
q = s.headStream.Query(rank)
}
qs = append(qs, &dto.Quantile{
Quantile: proto.Float64(rank),
Value: proto.Float64(q),
})
}
s.mtx.Unlock()
if len(qs) > 0 {
sort.Sort(quantSort(qs))
}
sum.Quantile = qs
out.Summary = sum
out.Label = s.labelPairs
return nil
}
func (s *constSummary) Write(out *dto.Metric) error {
sum := &dto.Summary{}
qs := make([]*dto.Quantile, 0, len(s.quantiles))
sum.SampleCount = proto.Uint64(s.count)
sum.SampleSum = proto.Float64(s.sum)
for rank, q := range s.quantiles {
qs = append(qs, &dto.Quantile{
Quantile: proto.Float64(rank),
Value: proto.Float64(q),
})
}
if len(qs) > 0 {
sort.Sort(quantSort(qs))
}
sum.Quantile = qs
out.Summary = sum
out.Label = s.labelPairs
return nil
}
func testParse(t testing.TB) {
var scenarios = []struct {
in string
out []*dto.MetricFamily
}{
// 0: Empty lines as input.
{
in: `
`,
out: []*dto.MetricFamily{},
},
// 1: Minimal case.
{
in: `
minimal_metric 1.234
another_metric -3e3 103948
# Even that:
no_labels{} 3
# HELP line for non-existing metric will be ignored.
`,
out: []*dto.MetricFamily{
&dto.MetricFamily{
Name: proto.String("minimal_metric"),
Type: dto.MetricType_UNTYPED.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Untyped: &dto.Untyped{
Value: proto.Float64(1.234),
},
},
},
},
&dto.MetricFamily{
Name: proto.String("another_metric"),
Type: dto.MetricType_UNTYPED.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Untyped: &dto.Untyped{
Value: proto.Float64(-3e3),
},
TimestampMs: proto.Int64(103948),
},
},
},
&dto.MetricFamily{
Name: proto.String("no_labels"),
Type: dto.MetricType_UNTYPED.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Untyped: &dto.Untyped{
Value: proto.Float64(3),
},
},
},
},
},
},
// 2: Counters & gauges, docstrings, various whitespace, escape sequences.
{
in: `
# A normal comment.
#
# TYPE name counter
name{labelname="val1",basename="basevalue"} NaN
name {labelname="val2",basename="base\"v\\al\nue"} 0.23 1234567890
# HELP name two-line\n doc str\\ing
# HELP name2 doc str"ing 2
# TYPE name2 gauge
name2{labelname="val2" ,basename = "basevalue2" } +Inf 54321
name2{ labelname = "val1" , }-Inf
`,
out: []*dto.MetricFamily{
&dto.MetricFamily{
Name: proto.String("name"),
Help: proto.String("two-line\n doc str\\ing"),
Type: dto.MetricType_COUNTER.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("labelname"),
Value: proto.String("val1"),
},
&dto.LabelPair{
Name: proto.String("basename"),
Value: proto.String("basevalue"),
},
},
Counter: &dto.Counter{
Value: proto.Float64(math.NaN()),
},
},
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("labelname"),
Value: proto.String("val2"),
},
&dto.LabelPair{
Name: proto.String("basename"),
Value: proto.String("base\"v\\al\nue"),
},
},
Counter: &dto.Counter{
Value: proto.Float64(.23),
},
TimestampMs: proto.Int64(1234567890),
},
},
},
&dto.MetricFamily{
Name: proto.String("name2"),
Help: proto.String("doc str\"ing 2"),
Type: dto.MetricType_GAUGE.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("labelname"),
Value: proto.String("val2"),
},
&dto.LabelPair{
Name: proto.String("basename"),
Value: proto.String("basevalue2"),
},
},
Gauge: &dto.Gauge{
Value: proto.Float64(math.Inf(+1)),
},
TimestampMs: proto.Int64(54321),
},
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("labelname"),
Value: proto.String("val1"),
},
},
Gauge: &dto.Gauge{
Value: proto.Float64(math.Inf(-1)),
},
},
},
},
},
},
// 3: The evil summary, mixed with other types and funny comments.
{
in: `
# TYPE my_summary summary
my_summary{n1="val1",quantile="0.5"} 110
decoy -1 -2
my_summary{n1="val1",quantile="0.9"} 140 1
my_summary_count{n1="val1"} 42
# Latest timestamp wins in case of a summary.
my_summary_sum{n1="val1"} 4711 2
fake_sum{n1="val1"} 2001
# TYPE another_summary summary
another_summary_count{n2="val2",n1="val1"} 20
my_summary_count{n2="val2",n1="val1"} 5 5
another_summary{n1="val1",n2="val2",quantile=".3"} -1.2
my_summary_sum{n1="val2"} 08 15
my_summary{n1="val3", quantile="0.2"} 4711
my_summary{n1="val1",n2="val2",quantile="-12.34",} NaN
# some
# funny comments
# HELP
# HELP
# HELP my_summary
# HELP my_summary
`,
out: []*dto.MetricFamily{
&dto.MetricFamily{
Name: proto.String("fake_sum"),
Type: dto.MetricType_UNTYPED.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("n1"),
Value: proto.String("val1"),
},
},
Untyped: &dto.Untyped{
Value: proto.Float64(2001),
},
},
},
},
&dto.MetricFamily{
Name: proto.String("decoy"),
Type: dto.MetricType_UNTYPED.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Untyped: &dto.Untyped{
Value: proto.Float64(-1),
},
TimestampMs: proto.Int64(-2),
},
},
},
&dto.MetricFamily{
Name: proto.String("my_summary"),
Type: dto.MetricType_SUMMARY.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("n1"),
Value: proto.String("val1"),
},
},
Summary: &dto.Summary{
SampleCount: proto.Uint64(42),
SampleSum: proto.Float64(4711),
Quantile: []*dto.Quantile{
&dto.Quantile{
Quantile: proto.Float64(0.5),
Value: proto.Float64(110),
},
&dto.Quantile{
Quantile: proto.Float64(0.9),
Value: proto.Float64(140),
},
},
},
TimestampMs: proto.Int64(2),
},
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("n2"),
Value: proto.String("val2"),
},
&dto.LabelPair{
Name: proto.String("n1"),
Value: proto.String("val1"),
},
},
Summary: &dto.Summary{
SampleCount: proto.Uint64(5),
Quantile: []*dto.Quantile{
&dto.Quantile{
Quantile: proto.Float64(-12.34),
Value: proto.Float64(math.NaN()),
},
},
},
TimestampMs: proto.Int64(5),
},
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("n1"),
Value: proto.String("val2"),
},
},
Summary: &dto.Summary{
SampleSum: proto.Float64(8),
},
TimestampMs: proto.Int64(15),
},
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("n1"),
Value: proto.String("val3"),
},
},
Summary: &dto.Summary{
Quantile: []*dto.Quantile{
&dto.Quantile{
Quantile: proto.Float64(0.2),
Value: proto.Float64(4711),
},
},
},
},
},
},
&dto.MetricFamily{
Name: proto.String("another_summary"),
Type: dto.MetricType_SUMMARY.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("n2"),
Value: proto.String("val2"),
},
&dto.LabelPair{
Name: proto.String("n1"),
Value: proto.String("val1"),
},
},
Summary: &dto.Summary{
SampleCount: proto.Uint64(20),
Quantile: []*dto.Quantile{
&dto.Quantile{
Quantile: proto.Float64(0.3),
Value: proto.Float64(-1.2),
},
},
},
},
},
},
},
},
// 4: The histogram.
{
in: `
# HELP request_duration_microseconds The response latency.
# TYPE request_duration_microseconds histogram
request_duration_microseconds_bucket{le="100"} 123
request_duration_microseconds_bucket{le="120"} 412
request_duration_microseconds_bucket{le="144"} 592
request_duration_microseconds_bucket{le="172.8"} 1524
request_duration_microseconds_bucket{le="+Inf"} 2693
request_duration_microseconds_sum 1.7560473e+06
request_duration_microseconds_count 2693
`,
out: []*dto.MetricFamily{
{
Name: proto.String("request_duration_microseconds"),
Help: proto.String("The response latency."),
Type: dto.MetricType_HISTOGRAM.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Histogram: &dto.Histogram{
SampleCount: proto.Uint64(2693),
SampleSum: proto.Float64(1756047.3),
Bucket: []*dto.Bucket{
&dto.Bucket{
UpperBound: proto.Float64(100),
CumulativeCount: proto.Uint64(123),
},
&dto.Bucket{
UpperBound: proto.Float64(120),
CumulativeCount: proto.Uint64(412),
},
&dto.Bucket{
UpperBound: proto.Float64(144),
CumulativeCount: proto.Uint64(592),
},
&dto.Bucket{
UpperBound: proto.Float64(172.8),
CumulativeCount: proto.Uint64(1524),
},
&dto.Bucket{
UpperBound: proto.Float64(math.Inf(+1)),
CumulativeCount: proto.Uint64(2693),
},
},
},
},
},
},
},
},
}
for i, scenario := range scenarios {
out, err := parser.TextToMetricFamilies(strings.NewReader(scenario.in))
if err != nil {
t.Errorf("%d. error: %s", i, err)
continue
}
if expected, got := len(scenario.out), len(out); expected != got {
t.Errorf(
"%d. expected %d MetricFamilies, got %d",
i, expected, got,
)
}
for _, expected := range scenario.out {
got, ok := out[expected.GetName()]
if !ok {
t.Errorf(
"%d. expected MetricFamily %q, found none",
i, expected.GetName(),
)
continue
}
if expected.String() != got.String() {
t.Errorf(
"%d. expected MetricFamily %s, got %s",
i, expected, got,
)
}
}
}
}
// readingValue represents the state where the last byte read (now in
// p.currentByte) is the first byte of the sample value (i.e. a float).
func (p *TextParser) readingValue() stateFn {
// When we are here, we have read all the labels, so for the
// special case of a summary/histogram, we can finally find out
// if the metric already exists.
if p.currentMF.GetType() == dto.MetricType_SUMMARY {
signature := model.LabelsToSignature(p.currentLabels)
if summary := p.summaries[signature]; summary != nil {
p.currentMetric = summary
} else {
p.summaries[signature] = p.currentMetric
p.currentMF.Metric = append(p.currentMF.Metric, p.currentMetric)
}
} else if p.currentMF.GetType() == dto.MetricType_HISTOGRAM {
signature := model.LabelsToSignature(p.currentLabels)
if histogram := p.histograms[signature]; histogram != nil {
p.currentMetric = histogram
} else {
p.histograms[signature] = p.currentMetric
p.currentMF.Metric = append(p.currentMF.Metric, p.currentMetric)
}
} else {
p.currentMF.Metric = append(p.currentMF.Metric, p.currentMetric)
}
if p.readTokenUntilWhitespace(); p.err != nil {
return nil // Unexpected end of input.
}
value, err := strconv.ParseFloat(p.currentToken.String(), 64)
if err != nil {
// Create a more helpful error message.
p.parseError(fmt.Sprintf("expected float as value, got %q", p.currentToken.String()))
return nil
}
switch p.currentMF.GetType() {
case dto.MetricType_COUNTER:
p.currentMetric.Counter = &dto.Counter{Value: proto.Float64(value)}
case dto.MetricType_GAUGE:
p.currentMetric.Gauge = &dto.Gauge{Value: proto.Float64(value)}
case dto.MetricType_UNTYPED:
p.currentMetric.Untyped = &dto.Untyped{Value: proto.Float64(value)}
case dto.MetricType_SUMMARY:
// *sigh*
if p.currentMetric.Summary == nil {
p.currentMetric.Summary = &dto.Summary{}
}
switch {
case p.currentIsSummaryCount:
p.currentMetric.Summary.SampleCount = proto.Uint64(uint64(value))
case p.currentIsSummarySum:
p.currentMetric.Summary.SampleSum = proto.Float64(value)
case !math.IsNaN(p.currentQuantile):
p.currentMetric.Summary.Quantile = append(
p.currentMetric.Summary.Quantile,
&dto.Quantile{
Quantile: proto.Float64(p.currentQuantile),
Value: proto.Float64(value),
},
)
}
case dto.MetricType_HISTOGRAM:
// *sigh*
if p.currentMetric.Histogram == nil {
p.currentMetric.Histogram = &dto.Histogram{}
}
switch {
case p.currentIsHistogramCount:
p.currentMetric.Histogram.SampleCount = proto.Uint64(uint64(value))
case p.currentIsHistogramSum:
p.currentMetric.Histogram.SampleSum = proto.Float64(value)
case !math.IsNaN(p.currentBucket):
p.currentMetric.Histogram.Bucket = append(
p.currentMetric.Histogram.Bucket,
&dto.Bucket{
UpperBound: proto.Float64(p.currentBucket),
CumulativeCount: proto.Uint64(uint64(value)),
},
)
}
default:
p.err = fmt.Errorf("unexpected type for metric name %q", p.currentMF.GetName())
}
if p.currentByte == '\n' {
return p.startOfLine
}
return p.startTimestamp
}
func testCreate(t testing.TB) {
var scenarios = []struct {
in *dto.MetricFamily
out string
}{
// 0: Counter, NaN as value, timestamp given.
{
in: &dto.MetricFamily{
Name: proto.String("name"),
Help: proto.String("two-line\n doc str\\ing"),
Type: dto.MetricType_COUNTER.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("labelname"),
Value: proto.String("val1"),
},
&dto.LabelPair{
Name: proto.String("basename"),
Value: proto.String("basevalue"),
},
},
Counter: &dto.Counter{
Value: proto.Float64(math.NaN()),
},
},
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("labelname"),
Value: proto.String("val2"),
},
&dto.LabelPair{
Name: proto.String("basename"),
Value: proto.String("basevalue"),
},
},
Counter: &dto.Counter{
Value: proto.Float64(.23),
},
TimestampMs: proto.Int64(1234567890),
},
},
},
out: `# HELP name two-line\n doc str\\ing
# TYPE name counter
name{labelname="val1",basename="basevalue"} NaN
name{labelname="val2",basename="basevalue"} 0.23 1234567890
`,
},
// 1: Gauge, some escaping required, +Inf as value, multi-byte characters in label values.
{
in: &dto.MetricFamily{
Name: proto.String("gauge_name"),
Help: proto.String("gauge\ndoc\nstr\"ing"),
Type: dto.MetricType_GAUGE.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("name_1"),
Value: proto.String("val with\nnew line"),
},
&dto.LabelPair{
Name: proto.String("name_2"),
Value: proto.String("val with \\backslash and \"quotes\""),
},
},
Gauge: &dto.Gauge{
Value: proto.Float64(math.Inf(+1)),
},
},
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("name_1"),
Value: proto.String("Björn"),
},
&dto.LabelPair{
Name: proto.String("name_2"),
Value: proto.String("佖佥"),
},
},
Gauge: &dto.Gauge{
Value: proto.Float64(3.14E42),
},
},
},
},
out: `# HELP gauge_name gauge\ndoc\nstr"ing
# TYPE gauge_name gauge
gauge_name{name_1="val with\nnew line",name_2="val with \\backslash and \"quotes\""} +Inf
gauge_name{name_1="Björn",name_2="佖佥"} 3.14e+42
`,
},
// 2: Untyped, no help, one sample with no labels and -Inf as value, another sample with one label.
{
in: &dto.MetricFamily{
Name: proto.String("untyped_name"),
Type: dto.MetricType_UNTYPED.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Untyped: &dto.Untyped{
Value: proto.Float64(math.Inf(-1)),
},
},
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("name_1"),
Value: proto.String("value 1"),
},
},
Untyped: &dto.Untyped{
Value: proto.Float64(-1.23e-45),
},
},
},
},
out: `# TYPE untyped_name untyped
untyped_name -Inf
untyped_name{name_1="value 1"} -1.23e-45
`,
},
// 3: Summary.
{
in: &dto.MetricFamily{
Name: proto.String("summary_name"),
Help: proto.String("summary docstring"),
Type: dto.MetricType_SUMMARY.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Summary: &dto.Summary{
SampleCount: proto.Uint64(42),
SampleSum: proto.Float64(-3.4567),
Quantile: []*dto.Quantile{
&dto.Quantile{
Quantile: proto.Float64(0.5),
Value: proto.Float64(-1.23),
},
&dto.Quantile{
Quantile: proto.Float64(0.9),
Value: proto.Float64(.2342354),
},
&dto.Quantile{
Quantile: proto.Float64(0.99),
Value: proto.Float64(0),
},
},
},
},
&dto.Metric{
Label: []*dto.LabelPair{
&dto.LabelPair{
Name: proto.String("name_1"),
Value: proto.String("value 1"),
},
&dto.LabelPair{
Name: proto.String("name_2"),
Value: proto.String("value 2"),
},
},
Summary: &dto.Summary{
SampleCount: proto.Uint64(4711),
SampleSum: proto.Float64(2010.1971),
Quantile: []*dto.Quantile{
&dto.Quantile{
Quantile: proto.Float64(0.5),
Value: proto.Float64(1),
},
&dto.Quantile{
Quantile: proto.Float64(0.9),
Value: proto.Float64(2),
},
&dto.Quantile{
Quantile: proto.Float64(0.99),
Value: proto.Float64(3),
},
},
},
},
},
},
out: `# HELP summary_name summary docstring
# TYPE summary_name summary
summary_name{quantile="0.5"} -1.23
summary_name{quantile="0.9"} 0.2342354
summary_name{quantile="0.99"} 0
summary_name_sum -3.4567
summary_name_count 42
summary_name{name_1="value 1",name_2="value 2",quantile="0.5"} 1
summary_name{name_1="value 1",name_2="value 2",quantile="0.9"} 2
summary_name{name_1="value 1",name_2="value 2",quantile="0.99"} 3
summary_name_sum{name_1="value 1",name_2="value 2"} 2010.1971
summary_name_count{name_1="value 1",name_2="value 2"} 4711
`,
},
// 4: Histogram
{
in: &dto.MetricFamily{
Name: proto.String("request_duration_microseconds"),
Help: proto.String("The response latency."),
Type: dto.MetricType_HISTOGRAM.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Histogram: &dto.Histogram{
SampleCount: proto.Uint64(2693),
SampleSum: proto.Float64(1756047.3),
Bucket: []*dto.Bucket{
&dto.Bucket{
UpperBound: proto.Float64(100),
CumulativeCount: proto.Uint64(123),
},
&dto.Bucket{
UpperBound: proto.Float64(120),
CumulativeCount: proto.Uint64(412),
},
&dto.Bucket{
UpperBound: proto.Float64(144),
CumulativeCount: proto.Uint64(592),
},
&dto.Bucket{
UpperBound: proto.Float64(172.8),
CumulativeCount: proto.Uint64(1524),
},
&dto.Bucket{
UpperBound: proto.Float64(math.Inf(+1)),
CumulativeCount: proto.Uint64(2693),
},
},
},
},
},
},
out: `# HELP request_duration_microseconds The response latency.
# TYPE request_duration_microseconds histogram
request_duration_microseconds_bucket{le="100"} 123
request_duration_microseconds_bucket{le="120"} 412
request_duration_microseconds_bucket{le="144"} 592
request_duration_microseconds_bucket{le="172.8"} 1524
request_duration_microseconds_bucket{le="+Inf"} 2693
request_duration_microseconds_sum 1.7560473e+06
request_duration_microseconds_count 2693
`,
},
// 5: Histogram with missing +Inf bucket.
{
in: &dto.MetricFamily{
Name: proto.String("request_duration_microseconds"),
Help: proto.String("The response latency."),
Type: dto.MetricType_HISTOGRAM.Enum(),
Metric: []*dto.Metric{
&dto.Metric{
Histogram: &dto.Histogram{
SampleCount: proto.Uint64(2693),
SampleSum: proto.Float64(1756047.3),
Bucket: []*dto.Bucket{
&dto.Bucket{
UpperBound: proto.Float64(100),
CumulativeCount: proto.Uint64(123),
},
&dto.Bucket{
UpperBound: proto.Float64(120),
CumulativeCount: proto.Uint64(412),
},
&dto.Bucket{
UpperBound: proto.Float64(144),
CumulativeCount: proto.Uint64(592),
},
&dto.Bucket{
UpperBound: proto.Float64(172.8),
CumulativeCount: proto.Uint64(1524),
},
},
},
},
},
},
out: `# HELP request_duration_microseconds The response latency.
# TYPE request_duration_microseconds histogram
request_duration_microseconds_bucket{le="100"} 123
request_duration_microseconds_bucket{le="120"} 412
request_duration_microseconds_bucket{le="144"} 592
request_duration_microseconds_bucket{le="172.8"} 1524
request_duration_microseconds_bucket{le="+Inf"} 2693
request_duration_microseconds_sum 1.7560473e+06
request_duration_microseconds_count 2693
`,
},
}
for i, scenario := range scenarios {
out := bytes.NewBuffer(make([]byte, 0, len(scenario.out)))
n, err := MetricFamilyToText(out, scenario.in)
if err != nil {
t.Errorf("%d. error: %s", i, err)
continue
}
if expected, got := len(scenario.out), n; expected != got {
t.Errorf(
"%d. expected %d bytes written, got %d",
i, expected, got,
)
}
if expected, got := scenario.out, out.String(); expected != got {
t.Errorf(
"%d. expected out=%q, got %q",
i, expected, got,
)
}
}
}