func TestHistogram(t *testing.T) {
// The histogram test is actually like 4 gauge tests.
prefix, name := "statsd.", "histogram_test"
label, value := "abc", "def" // ignored for Graphite
re50 := regexp.MustCompile(prefix + name + `.p50 ([0-9\.]+) [0-9]+`)
re90 := regexp.MustCompile(prefix + name + `.p90 ([0-9\.]+) [0-9]+`)
re95 := regexp.MustCompile(prefix + name + `.p95 ([0-9\.]+) [0-9]+`)
re99 := regexp.MustCompile(prefix + name + `.p99 ([0-9\.]+) [0-9]+`)
g := New(prefix, log.NewNopLogger())
histogram := g.NewHistogram(name, 50).With(label, value)
quantiles := func() (float64, float64, float64, float64) {
var buf bytes.Buffer
g.WriteTo(&buf)
match50 := re50.FindStringSubmatch(buf.String())
p50, _ := strconv.ParseFloat(match50[1], 64)
match90 := re90.FindStringSubmatch(buf.String())
p90, _ := strconv.ParseFloat(match90[1], 64)
match95 := re95.FindStringSubmatch(buf.String())
p95, _ := strconv.ParseFloat(match95[1], 64)
match99 := re99.FindStringSubmatch(buf.String())
p99, _ := strconv.ParseFloat(match99[1], 64)
return p50, p90, p95, p99
}
if err := teststat.TestHistogram(histogram, quantiles, 0.01); err != nil {
t.Fatal(err)
}
}
func TestTimingSampled(t *testing.T) {
prefix, name := "statsd.", "sampled_timing_test"
label, value := "foo", "bar" // ignored
regex := `^` + prefix + name + `:([0-9\.]+)\|ms\|@0\.01[0]*$`
s := New(prefix, log.NewNopLogger())
timing := s.NewTiming(name, 0.01).With(label, value)
quantiles := teststat.Quantiles(s, regex, 50)
if err := teststat.TestHistogram(timing, quantiles, 0.02); err != nil {
t.Fatal(err)
}
}
func TestTiming(t *testing.T) {
prefix, name := "statsd.", "timing_test"
label, value := "abc", "def" // ignored
regex := `^` + prefix + name + `:([0-9\.]+)\|ms$`
s := New(prefix, log.NewNopLogger())
timing := s.NewTiming(name, 1.0).With(label, value)
quantiles := teststat.Quantiles(s, regex, 50) // no |@0.X
if err := teststat.TestHistogram(timing, quantiles, 0.01); err != nil {
t.Fatal(err)
}
}
func TestHistogram(t *testing.T) {
in := New(map[string]string{"foo": "alpha"}, influxdb.BatchPointsConfig{}, log.NewNopLogger())
re := regexp.MustCompile(`influx_histogram,foo=alpha bar="beta",value=([0-9\.]+) [0-9]+`)
histogram := in.NewHistogram("influx_histogram").With("bar", "beta")
quantiles := func() (float64, float64, float64, float64) {
w := &bufWriter{}
in.WriteTo(w)
h := generic.NewHistogram("h", 50)
matches := re.FindAllStringSubmatch(w.buf.String(), -1)
for _, match := range matches {
f, _ := strconv.ParseFloat(match[1], 64)
h.Observe(f)
}
return h.Quantile(0.50), h.Quantile(0.90), h.Quantile(0.95), h.Quantile(0.99)
}
if err := teststat.TestHistogram(histogram, quantiles, 0.01); err != nil {
t.Fatal(err)
}
}
func TestHistogram(t *testing.T) {
const name = "ghi"
// Circonus just emits bucketed counts. We'll dump them into a generic
// histogram (losing some precision) and take statistics from there. Note
// this does assume that the generic histogram computes statistics properly,
// but we have another test for that :)
re := regexp.MustCompile(`^H\[([0-9\.e\+]+)\]=([0-9]+)$`) // H[1.2e+03]=456
var p50, p90, p95, p99 float64
s := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
var res map[string]struct {
Values []string `json:"_value"` // reverse-engineered :\
}
json.NewDecoder(r.Body).Decode(&res)
h := generic.NewHistogram("dummy", len(res[name].Values)) // match tbe bucket counts
for _, v := range res[name].Values {
match := re.FindStringSubmatch(v)
f, _ := strconv.ParseFloat(match[1], 64)
n, _ := strconv.ParseInt(match[2], 10, 64)
for i := int64(0); i < n; i++ {
h.Observe(f)
}
}
p50 = h.Quantile(0.50)
p90 = h.Quantile(0.90)
p95 = h.Quantile(0.95)
p99 = h.Quantile(0.99)
}))
defer s.Close()
m := newCirconusMetrics(s.URL)
histogram := New(m).NewHistogram(name).With("label values", "not supported")
quantiles := func() (float64, float64, float64, float64) { m.Flush(); return p50, p90, p95, p99 }
// Circonus metrics, because they do their own bucketing, are less precise
// than other systems. So, we bump the tolerance to 5 percent.
if err := teststat.TestHistogram(histogram, quantiles, 0.05); err != nil {
t.Fatal(err)
}
}
func TestSummary(t *testing.T) {
s := httptest.NewServer(stdprometheus.UninstrumentedHandler())
defer s.Close()
scrape := func() string {
resp, _ := http.Get(s.URL)
buf, _ := ioutil.ReadAll(resp.Body)
return string(buf)
}
namespace, subsystem, name := "test", "prometheus", "summary"
re50 := regexp.MustCompile(namespace + `_` + subsystem + `_` + name + `{a="a",b="b",quantile="0.5"} ([0-9\.]+)`)
re90 := regexp.MustCompile(namespace + `_` + subsystem + `_` + name + `{a="a",b="b",quantile="0.9"} ([0-9\.]+)`)
re99 := regexp.MustCompile(namespace + `_` + subsystem + `_` + name + `{a="a",b="b",quantile="0.99"} ([0-9\.]+)`)
summary := NewSummaryFrom(stdprometheus.SummaryOpts{
Namespace: namespace,
Subsystem: subsystem,
Name: name,
Help: "This is the help string for the summary.",
}, []string{"a", "b"}).With("b", "b").With("a", "a")
quantiles := func() (float64, float64, float64, float64) {
buf := scrape()
match50 := re50.FindStringSubmatch(buf)
p50, _ := strconv.ParseFloat(match50[1], 64)
match90 := re90.FindStringSubmatch(buf)
p90, _ := strconv.ParseFloat(match90[1], 64)
match99 := re99.FindStringSubmatch(buf)
p99, _ := strconv.ParseFloat(match99[1], 64)
p95 := p90 + ((p99 - p90) / 2) // Prometheus, y u no p95??? :< #yolo
return p50, p90, p95, p99
}
if err := teststat.TestHistogram(summary, quantiles, 0.01); err != nil {
t.Fatal(err)
}
}