bsc/les/lespay/client/timestats_test.go
Felföldi Zsolt 0851646e48
les, les/lespay/client: add service value statistics and API (#20837)
This PR adds service value measurement statistics to the light client. It
also adds a private API that makes these statistics accessible. A follow-up
PR will add the new server pool which uses these statistics to select
servers with good performance.

This document describes the function of the new components:
https://gist.github.com/zsfelfoldi/3c7ace895234b7b345ab4f71dab102d4

Co-authored-by: rjl493456442 <garyrong0905@gmail.com>
Co-authored-by: rjl493456442 <garyrong0905@gmail.com>
2020-04-09 11:55:32 +02:00

138 lines
4.7 KiB
Go

// Copyright 2020 The go-ethereum Authors
// This file is part of the go-ethereum library.
//
// The go-ethereum 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 go-ethereum 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 go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
package client
import (
"math"
"math/rand"
"testing"
"time"
"github.com/ethereum/go-ethereum/les/utils"
)
func TestTransition(t *testing.T) {
var epsilon = 0.01
var cases = []time.Duration{
time.Millisecond, minResponseTime,
time.Second, time.Second * 5, maxResponseTime,
}
for _, c := range cases {
got := StatScaleToTime(TimeToStatScale(c))
if float64(got)*(1+epsilon) < float64(c) || float64(got)*(1-epsilon) > float64(c) {
t.Fatalf("Failed to transition back")
}
}
// If the time is too large(exceeds the max response time.
got := StatScaleToTime(TimeToStatScale(2 * maxResponseTime))
if float64(got)*(1+epsilon) < float64(maxResponseTime) || float64(got)*(1-epsilon) > float64(maxResponseTime) {
t.Fatalf("Failed to transition back")
}
}
var maxResponseWeights = TimeoutWeights(maxResponseTime)
func TestValue(t *testing.T) {
noexp := utils.ExpirationFactor{Factor: 1}
for i := 0; i < 1000; i++ {
max := minResponseTime + time.Duration(rand.Int63n(int64(maxResponseTime-minResponseTime)))
min := minResponseTime + time.Duration(rand.Int63n(int64(max-minResponseTime)))
timeout := max/2 + time.Duration(rand.Int63n(int64(maxResponseTime-max/2)))
s := makeRangeStats(min, max, 1000, noexp)
value := s.Value(TimeoutWeights(timeout), noexp)
// calculate the average weight (the average of the given range of the half cosine
// weight function).
minx := math.Pi / 2 * float64(min) / float64(timeout)
maxx := math.Pi / 2 * float64(max) / float64(timeout)
avgWeight := (math.Sin(maxx) - math.Sin(minx)) / (maxx - minx)
expv := 1000 * avgWeight
if expv < 0 {
expv = 0
}
if value < expv-10 || value > expv+10 {
t.Errorf("Value failed (expected %v, got %v)", expv, value)
}
}
}
func TestAddSubExpire(t *testing.T) {
var (
sum1, sum2 ResponseTimeStats
sum1ValueExp, sum2ValueExp float64
logOffset utils.Fixed64
)
for i := 0; i < 1000; i++ {
exp := utils.ExpFactor(logOffset)
max := minResponseTime + time.Duration(rand.Int63n(int64(maxResponseTime-minResponseTime)))
min := minResponseTime + time.Duration(rand.Int63n(int64(max-minResponseTime)))
s := makeRangeStats(min, max, 1000, exp)
value := s.Value(maxResponseWeights, exp)
sum1.AddStats(&s)
sum1ValueExp += value
if rand.Intn(2) == 1 {
sum2.AddStats(&s)
sum2ValueExp += value
}
logOffset += utils.Float64ToFixed64(0.001 / math.Log(2))
sum1ValueExp -= sum1ValueExp * 0.001
sum2ValueExp -= sum2ValueExp * 0.001
}
exp := utils.ExpFactor(logOffset)
sum1Value := sum1.Value(maxResponseWeights, exp)
if sum1Value < sum1ValueExp*0.99 || sum1Value > sum1ValueExp*1.01 {
t.Errorf("sum1Value failed (expected %v, got %v)", sum1ValueExp, sum1Value)
}
sum2Value := sum2.Value(maxResponseWeights, exp)
if sum2Value < sum2ValueExp*0.99 || sum2Value > sum2ValueExp*1.01 {
t.Errorf("sum2Value failed (expected %v, got %v)", sum2ValueExp, sum2Value)
}
diff := sum1
diff.SubStats(&sum2)
diffValue := diff.Value(maxResponseWeights, exp)
diffValueExp := sum1ValueExp - sum2ValueExp
if diffValue < diffValueExp*0.99 || diffValue > diffValueExp*1.01 {
t.Errorf("diffValue failed (expected %v, got %v)", diffValueExp, diffValue)
}
}
func TestTimeout(t *testing.T) {
testTimeoutRange(t, 0, time.Second)
testTimeoutRange(t, time.Second, time.Second*2)
testTimeoutRange(t, time.Second, maxResponseTime)
}
func testTimeoutRange(t *testing.T, min, max time.Duration) {
s := makeRangeStats(min, max, 1000, utils.ExpirationFactor{Factor: 1})
for i := 2; i < 9; i++ {
to := s.Timeout(float64(i) / 10)
exp := max - (max-min)*time.Duration(i)/10
tol := (max - min) / 50
if to < exp-tol || to > exp+tol {
t.Errorf("Timeout failed (expected %v, got %v)", exp, to)
}
}
}
func makeRangeStats(min, max time.Duration, amount float64, exp utils.ExpirationFactor) ResponseTimeStats {
var s ResponseTimeStats
amount /= 1000
for i := 0; i < 1000; i++ {
s.Add(min+(max-min)*time.Duration(i)/999, amount, exp)
}
return s
}