github.com/amazechain/amc@v0.1.3/internal/metrics/log.go

// Copyright 2022 The AmazeChain Authors
// This file is part of the AmazeChain library.
//
// The AmazeChain library is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// The AmazeChain library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with the AmazeChain library. If not, see <http://www.gnu.org/licenses/>.

package metrics

import (
	"github.com/c2h5oh/datasize"
	"github.com/rcrowley/go-metrics"
	"time"
)

type Logger interface {
	Printf(format string, v ...interface{})
}

func Log(r metrics.Registry, freq time.Duration, l Logger) {
	LogScaled(r, freq, time.Nanosecond, l)
}

// Output each metric in the given registry periodically using the given
// logger. Print timings in `scale` units (eg time.Millisecond) rather than nanos.
func LogScaled(r metrics.Registry, freq time.Duration, scale time.Duration, l Logger) {
	du := float64(scale)
	duSuffix := scale.String()[1:]

	for range time.Tick(freq) {
		r.Each(func(name string, i interface{}) {
			switch metric := i.(type) {
			case metrics.Counter:
				l.Printf("counter %s\n", name)
				l.Printf("  count:       %9d\n", metric.Count())
			case metrics.Gauge:
				l.Printf("gauge %s\n", name)
				l.Printf("  value:       %9d\n", metric.Value())
			case metrics.GaugeFloat64:
				l.Printf("gauge %s\n", name)
				l.Printf("  value:       %f\n", metric.Value())
			case metrics.Healthcheck:
				metric.Check()
				l.Printf("healthcheck %s\n", name)
				l.Printf("  error:       %v\n", metric.Error())
			case metrics.Histogram:
				h := metric.Snapshot()
				ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
				l.Printf("histogram %s\n", name)
				l.Printf("  count:       %9d\n", h.Count())
				l.Printf("  min:         %9d\n", h.Min())
				l.Printf("  max:         %9d\n", h.Max())
				l.Printf("  mean:        %12.2f\n", h.Mean())
				l.Printf("  stddev:      %12.2f\n", h.StdDev())
				l.Printf("  median:      %12.2f\n", ps[0])
				l.Printf("  75%%:         %12.2f\n", ps[1])
				l.Printf("  95%%:         %12.2f\n", ps[2])
				l.Printf("  99%%:         %12.2f\n", ps[3])
				l.Printf("  99.9%%:       %12.2f\n", ps[4])
			case metrics.Meter:
				m := metric.Snapshot()
				l.Printf("meter %s", name)
				l.Printf("  count:       %.2fMB", datasize.ByteSize(m.Count()).MBytes())
				l.Printf("  1-min rat:  %.2fKB/s", datasize.ByteSize(m.Rate1()).KBytes())
				l.Printf("  5-min rate:  %.2fKB/s", datasize.ByteSize(m.Rate5()).KBytes())
				l.Printf("  15-min rate: %.2fKB/s", datasize.ByteSize(m.Rate15()).KBytes())
				l.Printf("  mean rate:   %.2fKB/s", datasize.ByteSize(m.RateMean()).KBytes())
			case metrics.Timer:
				t := metric.Snapshot()
				ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
				l.Printf("timer %s\n", name)
				l.Printf("  count:       %9d\n", t.Count())
				l.Printf("  min:         %12.2f%s\n", float64(t.Min())/du, duSuffix)
				l.Printf("  max:         %12.2f%s\n", float64(t.Max())/du, duSuffix)
				l.Printf("  mean:        %12.2f%s\n", t.Mean()/du, duSuffix)
				l.Printf("  stddev:      %12.2f%s\n", t.StdDev()/du, duSuffix)
				l.Printf("  median:      %12.2f%s\n", ps[0]/du, duSuffix)
				l.Printf("  75%%:         %12.2f%s\n", ps[1]/du, duSuffix)
				l.Printf("  95%%:         %12.2f%s\n", ps[2]/du, duSuffix)
				l.Printf("  99%%:         %12.2f%s\n", ps[3]/du, duSuffix)
				l.Printf("  99.9%%:       %12.2f%s\n", ps[4]/du, duSuffix)
				l.Printf("  1-min rate:  %12.2f\n", t.Rate1())
				l.Printf("  5-min rate:  %12.2f\n", t.Rate5())
				l.Printf("  15-min rate: %12.2f\n", t.Rate15())
				l.Printf("  mean rate:   %12.2f\n", t.RateMean())
			}
		})
	}
}