• Péter Szilágyi's avatar
    Godeps, vendor: convert dependency management to trash (#3198) · 289b3071
    Péter Szilágyi authored
    This commit converts the dependency management from Godeps to the vendor
    folder, also switching the tool from godep to trash. Since the upstream tool
    lacks a few features proposed via a few PRs, until those PRs are merged in
    (if), use github.com/karalabe/trash.
    
    You can update dependencies via trash --update.
    
    All dependencies have been updated to their latest version.
    
    Parts of the build system are reworked to drop old notions of Godeps and
    invocation of the go vet command so that it doesn't run against the vendor
    folder, as that will just blow up during vetting.
    
    The conversion drops OpenCL (and hence GPU mining support) from ethash and our
    codebase. The short reasoning is that there's noone to maintain and having
    opencl libs in our deps messes up builds as go install ./... tries to build
    them, failing with unsatisfied link errors for the C OpenCL deps.
    
    golang.org/x/net/context is not vendored in. We expect it to be fetched by the
    user (i.e. using go get). To keep ci.go builds reproducible the package is
    "vendored" in build/_vendor.
    289b3071
writer.go 3.48 KB
package metrics

import (
	"fmt"
	"io"
	"sort"
	"time"
)

// Write sorts writes each metric in the given registry periodically to the
// given io.Writer.
func Write(r Registry, d time.Duration, w io.Writer) {
	for _ = range time.Tick(d) {
		WriteOnce(r, w)
	}
}

// WriteOnce sorts and writes metrics in the given registry to the given
// io.Writer.
func WriteOnce(r Registry, w io.Writer) {
	var namedMetrics namedMetricSlice
	r.Each(func(name string, i interface{}) {
		namedMetrics = append(namedMetrics, namedMetric{name, i})
	})

	sort.Sort(namedMetrics)
	for _, namedMetric := range namedMetrics {
		switch metric := namedMetric.m.(type) {
		case Counter:
			fmt.Fprintf(w, "counter %s\n", namedMetric.name)
			fmt.Fprintf(w, "  count:       %9d\n", metric.Count())
		case Gauge:
			fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
			fmt.Fprintf(w, "  value:       %9d\n", metric.Value())
		case GaugeFloat64:
			fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
			fmt.Fprintf(w, "  value:       %f\n", metric.Value())
		case Healthcheck:
			metric.Check()
			fmt.Fprintf(w, "healthcheck %s\n", namedMetric.name)
			fmt.Fprintf(w, "  error:       %v\n", metric.Error())
		case Histogram:
			h := metric.Snapshot()
			ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
			fmt.Fprintf(w, "histogram %s\n", namedMetric.name)
			fmt.Fprintf(w, "  count:       %9d\n", h.Count())
			fmt.Fprintf(w, "  min:         %9d\n", h.Min())
			fmt.Fprintf(w, "  max:         %9d\n", h.Max())
			fmt.Fprintf(w, "  mean:        %12.2f\n", h.Mean())
			fmt.Fprintf(w, "  stddev:      %12.2f\n", h.StdDev())
			fmt.Fprintf(w, "  median:      %12.2f\n", ps[0])
			fmt.Fprintf(w, "  75%%:         %12.2f\n", ps[1])
			fmt.Fprintf(w, "  95%%:         %12.2f\n", ps[2])
			fmt.Fprintf(w, "  99%%:         %12.2f\n", ps[3])
			fmt.Fprintf(w, "  99.9%%:       %12.2f\n", ps[4])
		case Meter:
			m := metric.Snapshot()
			fmt.Fprintf(w, "meter %s\n", namedMetric.name)
			fmt.Fprintf(w, "  count:       %9d\n", m.Count())
			fmt.Fprintf(w, "  1-min rate:  %12.2f\n", m.Rate1())
			fmt.Fprintf(w, "  5-min rate:  %12.2f\n", m.Rate5())
			fmt.Fprintf(w, "  15-min rate: %12.2f\n", m.Rate15())
			fmt.Fprintf(w, "  mean rate:   %12.2f\n", m.RateMean())
		case Timer:
			t := metric.Snapshot()
			ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
			fmt.Fprintf(w, "timer %s\n", namedMetric.name)
			fmt.Fprintf(w, "  count:       %9d\n", t.Count())
			fmt.Fprintf(w, "  min:         %9d\n", t.Min())
			fmt.Fprintf(w, "  max:         %9d\n", t.Max())
			fmt.Fprintf(w, "  mean:        %12.2f\n", t.Mean())
			fmt.Fprintf(w, "  stddev:      %12.2f\n", t.StdDev())
			fmt.Fprintf(w, "  median:      %12.2f\n", ps[0])
			fmt.Fprintf(w, "  75%%:         %12.2f\n", ps[1])
			fmt.Fprintf(w, "  95%%:         %12.2f\n", ps[2])
			fmt.Fprintf(w, "  99%%:         %12.2f\n", ps[3])
			fmt.Fprintf(w, "  99.9%%:       %12.2f\n", ps[4])
			fmt.Fprintf(w, "  1-min rate:  %12.2f\n", t.Rate1())
			fmt.Fprintf(w, "  5-min rate:  %12.2f\n", t.Rate5())
			fmt.Fprintf(w, "  15-min rate: %12.2f\n", t.Rate15())
			fmt.Fprintf(w, "  mean rate:   %12.2f\n", t.RateMean())
		}
	}
}

type namedMetric struct {
	name string
	m    interface{}
}

// namedMetricSlice is a slice of namedMetrics that implements sort.Interface.
type namedMetricSlice []namedMetric

func (nms namedMetricSlice) Len() int { return len(nms) }

func (nms namedMetricSlice) Swap(i, j int) { nms[i], nms[j] = nms[j], nms[i] }

func (nms namedMetricSlice) Less(i, j int) bool {
	return nms[i].name < nms[j].name
}