snapshot of https://github.com/livekit/livekit.git @ 08c5433449c106943231037d0b892895f6e92d3b (2026-09-15)
This commit is contained in:
645
pkg/sfu/connectionquality/scorer.go
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645
pkg/sfu/connectionquality/scorer.go
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@@ -0,0 +1,645 @@
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// Copyright 2023 LiveKit, Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package connectionquality
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import (
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"fmt"
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"math"
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"sync"
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"time"
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"github.com/livekit/protocol/livekit"
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"github.com/livekit/protocol/logger"
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"github.com/livekit/protocol/utils"
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"go.uber.org/zap/zapcore"
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)
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const (
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MaxMOS = float32(4.5)
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MinMOS = float32(1.0)
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cMaxScore = float64(100.0)
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cMinScore = float64(30.0)
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cIncreaseFactor = float64(0.4) // slower increase, i. e. when score is recovering move up slower -> conservative
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cDecreaseFactor = float64(0.8) // faster decrease, i. e. when score is dropping move down faster -> aggressive to be responsive to quality drops
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cDistanceWeight = float64(35.0) // each spatial layer missed drops a quality level
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cUnmuteTimeThreshold = float64(0.5)
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cPPSQuantization = float64(2)
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cPPSMinReadings = 10
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cModeCalculationInterval = 2 * time.Minute
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)
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var (
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qualityTransitionScore = map[livekit.ConnectionQuality]float64{
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livekit.ConnectionQuality_GOOD: 80,
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livekit.ConnectionQuality_POOR: 40,
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livekit.ConnectionQuality_LOST: 20,
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}
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)
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// ------------------------------------------
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type windowStat struct {
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startedAt time.Time
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duration time.Duration
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packets uint32
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packetsPadding uint32
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packetsLost uint32
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packetsMissing uint32
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packetsOutOfOrder uint32
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bytes uint64
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rttMax uint32
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jitterMax float64
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lastRTCPAt time.Time
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}
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func (w *windowStat) calculatePacketScore(aplw float64, includeRTT bool, includeJitter bool) float64 {
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// this is based on simplified E-model based on packet loss, rtt, jitter as
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// outlined at https://www.pingman.com/kb/article/how-is-mos-calculated-in-pingplotter-pro-50.html.
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effectiveDelay := 0.0
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// discount the dependent factors if dependency indicated.
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// for example,
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// 1. in the up stream, RTT cannot be measured without RTCP-XR, it is using down stream RTT.
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// 2. in the down stream, up stream jitter affects it. although jitter can be adjusted to account for up stream
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// jitter, this lever can be used to discount jitter in scoring.
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if includeRTT {
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effectiveDelay += float64(w.rttMax) / 2.0
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}
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if includeJitter {
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effectiveDelay += (w.jitterMax * 2.0) / 1000.0
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}
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delayEffect := effectiveDelay / 40.0
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if effectiveDelay > 160.0 {
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delayEffect = (effectiveDelay - 120.0) / 10.0
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}
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// discount out-of-order packets from loss to deal with a scenario like
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// 1. up stream has loss
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// 2. down stream forwards with loss/hole in sequence number
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// 3. down stream client reports a certain number of loss via RTCP RR
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// 4. while processing that RTCP RR, up stream could have retransmitted missing packets
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// 5. those retransmitted packets are forwarded,
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// - server's view: it has forwarded those packets
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// - client's view: it had not seen those packets when sending RTCP RR
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// so those retransmitted packets appear like down stream loss to server.
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//
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// retransmitted packets would have arrived out-of-order. So, discounting them
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// will account for it.
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//
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// Note that packets can arrive out-of-order in the upstream during regular
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// streaming as well, i. e. without loss + NACK + retransmit. Those will be
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// discounted too. And that will skew the real loss. For example, let
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// us say that 40 out of 100 packets were reported lost by down stream.
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// These could be real losses. In the same window, 40 packets could have been
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// delivered out-of-order by the up stream, thus cancelling out the real loss.
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// But, those situations should be rare and is a compromise for not letting
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// up stream loss penalise down stream.
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actualLost := w.packetsLost - w.packetsMissing - w.packetsOutOfOrder
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if int32(actualLost) < 0 {
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actualLost = 0
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}
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var lossEffect float64
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if w.packets+w.packetsPadding > 0 {
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lossEffect = float64(actualLost) * 100.0 / float64(w.packets+w.packetsPadding)
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}
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lossEffect *= aplw
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score := cMaxScore - delayEffect - lossEffect
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if score < 0.0 {
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score = 0.0
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}
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return score
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}
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func (w *windowStat) calculateBitrateScore(expectedBits int64, isEnabled bool) float64 {
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if expectedBits == 0 || !isEnabled {
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// unsupported mode OR all layers stopped
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return cMaxScore
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}
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var score float64
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if w.bytes != 0 {
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// using the ratio of expectedBits / actualBits
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// the quality inflection points are approximately
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// GOOD at ~2.7x, POOR at ~20.1x
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score = cMaxScore - 20*math.Log(float64(expectedBits)/float64(w.bytes*8))
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if score > cMaxScore {
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score = cMaxScore
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}
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if score < 0.0 {
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score = 0.0
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}
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}
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return score
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}
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func (w *windowStat) String() string {
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return fmt.Sprintf("start: %+v, dur: %+v, p: %d, pp: %d, pl: %d, pm: %d, pooo: %d, b: %d, rtt: %d, jitter: %0.2f, lastRTCP: %+v",
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w.startedAt,
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w.duration,
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w.packets,
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w.packetsPadding,
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w.packetsLost,
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w.packetsMissing,
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w.packetsOutOfOrder,
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w.bytes,
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w.rttMax,
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w.jitterMax,
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w.lastRTCPAt,
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)
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}
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func (w *windowStat) MarshalLogObject(e zapcore.ObjectEncoder) error {
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if w == nil {
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return nil
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}
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e.AddTime("startedAt", w.startedAt)
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e.AddString("duration", w.duration.String())
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e.AddUint32("packets", w.packets)
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e.AddUint32("packetsPadding", w.packetsPadding)
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e.AddUint32("packetsLost", w.packetsLost)
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e.AddUint32("packetsMissing", w.packetsMissing)
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e.AddUint32("packetsOutOfOrder", w.packetsOutOfOrder)
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e.AddUint64("bytes", w.bytes)
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e.AddUint32("rttMax", w.rttMax)
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e.AddFloat64("jitterMax", w.jitterMax)
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e.AddTime("lastRTCPAt", w.lastRTCPAt)
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return nil
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}
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// ------------------------------------------
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type qualityScorerParams struct {
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IncludeRTT bool
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IncludeJitter bool
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EnableBitrateScore bool
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Logger logger.Logger
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}
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type qualityScorer struct {
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params qualityScorerParams
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lock sync.RWMutex
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lastUpdateAt time.Time
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packetLossWeight float64
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score float64
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stat windowStat
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mutedAt time.Time
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unmutedAt time.Time
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layerMutedAt time.Time
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layerUnmutedAt time.Time
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pausedAt time.Time
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resumedAt time.Time
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ppsHistogram [250]int
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numPPSReadings int
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ppsMode int
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modeCalculatedAt time.Time
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aggregateBitrate *utils.TimedAggregator[int64]
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layerDistance *utils.TimedAggregator[float64]
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}
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func newQualityScorer(params qualityScorerParams) *qualityScorer {
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return &qualityScorer{
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params: params,
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score: cMaxScore,
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aggregateBitrate: utils.NewTimedAggregator[int64](utils.TimedAggregatorParams{
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CapNegativeValues: true,
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}),
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layerDistance: utils.NewTimedAggregator[float64](utils.TimedAggregatorParams{
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CapNegativeValues: true,
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}),
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modeCalculatedAt: time.Now().Add(-cModeCalculationInterval),
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}
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}
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func (q *qualityScorer) startAtLocked(packetLossWeight float64, at time.Time) {
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q.packetLossWeight = packetLossWeight
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q.lastUpdateAt = at
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}
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func (q *qualityScorer) StartAt(packetLossWeight float64, at time.Time) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.startAtLocked(packetLossWeight, at)
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}
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func (q *qualityScorer) Start(packetLossWeight float64) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.startAtLocked(packetLossWeight, time.Now())
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}
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func (q *qualityScorer) UpdatePacketLossWeight(packetLossWeight float64) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.packetLossWeight = packetLossWeight
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}
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func (q *qualityScorer) updateMuteAtLocked(isMuted bool, at time.Time) {
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if isMuted {
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q.mutedAt = at
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// muting when LOST should not push quality to EXCELLENT
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if q.score != qualityTransitionScore[livekit.ConnectionQuality_LOST] {
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q.score = cMaxScore
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}
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} else {
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q.unmutedAt = at
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}
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}
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func (q *qualityScorer) UpdateMuteAt(isMuted bool, at time.Time) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.updateMuteAtLocked(isMuted, at)
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}
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func (q *qualityScorer) UpdateMute(isMuted bool) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.updateMuteAtLocked(isMuted, time.Now())
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}
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func (q *qualityScorer) addBitrateTransitionAtLocked(bitrate int64, at time.Time) {
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q.aggregateBitrate.AddSampleAt(bitrate, at)
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}
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func (q *qualityScorer) AddBitrateTransitionAt(bitrate int64, at time.Time) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.addBitrateTransitionAtLocked(bitrate, at)
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}
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func (q *qualityScorer) AddBitrateTransition(bitrate int64) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.addBitrateTransitionAtLocked(bitrate, time.Now())
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}
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func (q *qualityScorer) updateLayerMuteAtLocked(isMuted bool, at time.Time) {
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if isMuted {
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if !q.isLayerMuted() {
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q.aggregateBitrate.Reset()
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q.layerDistance.Reset()
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q.layerMutedAt = at
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q.score = cMaxScore
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}
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} else {
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if q.isLayerMuted() {
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q.layerUnmutedAt = at
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}
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}
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}
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func (q *qualityScorer) UpdateLayerMuteAt(isMuted bool, at time.Time) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.updateLayerMuteAtLocked(isMuted, at)
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}
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func (q *qualityScorer) UpdateLayerMute(isMuted bool) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.updateLayerMuteAtLocked(isMuted, time.Now())
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}
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func (q *qualityScorer) updatePauseAtLocked(isPaused bool, at time.Time) {
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if isPaused {
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if !q.isPaused() {
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q.aggregateBitrate.Reset()
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q.layerDistance.Reset()
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q.pausedAt = at
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q.score = cMinScore
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}
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} else {
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if q.isPaused() {
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q.resumedAt = at
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}
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}
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}
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func (q *qualityScorer) UpdatePauseAt(isPaused bool, at time.Time) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.updatePauseAtLocked(isPaused, at)
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}
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func (q *qualityScorer) UpdatePause(isPaused bool) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.updatePauseAtLocked(isPaused, time.Now())
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}
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func (q *qualityScorer) addLayerTransitionAtLocked(distance float64, at time.Time) {
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q.layerDistance.AddSampleAt(distance, at)
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}
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func (q *qualityScorer) AddLayerTransitionAt(distance float64, at time.Time) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.addLayerTransitionAtLocked(distance, at)
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}
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func (q *qualityScorer) AddLayerTransition(distance float64) {
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q.lock.Lock()
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defer q.lock.Unlock()
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q.addLayerTransitionAtLocked(distance, time.Now())
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}
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|
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func (q *qualityScorer) updateAtLocked(stat *windowStat, at time.Time) {
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// always update transitions
|
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expectedBits, _, err := q.aggregateBitrate.GetAggregateAndRestartAt(at)
|
||||
if err != nil {
|
||||
q.params.Logger.Warnw("error getting expected bitrate", err)
|
||||
}
|
||||
expectedDistance, err := q.layerDistance.GetAverageAndRestartAt(at)
|
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if err != nil {
|
||||
q.params.Logger.Warnw("error getting expected distance", err)
|
||||
}
|
||||
|
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// nothing to do when muted or not unmuted for long enough
|
||||
// NOTE: it is possible that unmute -> mute -> unmute transition happens in the
|
||||
// same analysis window. On a transition to mute, quality is immediately moved
|
||||
// EXCELLENT for responsiveness. On an unmute, the entire window data is
|
||||
// considered (as long as enough time has passed since unmute).
|
||||
//
|
||||
// Similarly, when paused (possibly due to congestion), score is immediately
|
||||
// set to cMinScore for responsiveness. The layer transition is reset.
|
||||
// On a resume, quality climbs back up using normal operation.
|
||||
if q.isMuted() || !q.isUnmutedEnough(at) || q.isLayerMuted() || q.isPaused() {
|
||||
q.lastUpdateAt = at
|
||||
return
|
||||
}
|
||||
|
||||
aplw := q.getAdjustedPacketLossWeight(stat)
|
||||
reason := "none"
|
||||
var score, packetScore, bitrateScore, layerScore float64
|
||||
if stat.packets+stat.packetsPadding == 0 {
|
||||
if !stat.lastRTCPAt.IsZero() && at.Sub(stat.lastRTCPAt) > stat.duration {
|
||||
reason = "rtcp"
|
||||
score = qualityTransitionScore[livekit.ConnectionQuality_LOST]
|
||||
} else {
|
||||
reason = "dry"
|
||||
score = qualityTransitionScore[livekit.ConnectionQuality_POOR]
|
||||
}
|
||||
} else {
|
||||
packetScore = stat.calculatePacketScore(aplw, q.params.IncludeRTT, q.params.IncludeJitter)
|
||||
bitrateScore = stat.calculateBitrateScore(expectedBits, q.params.EnableBitrateScore)
|
||||
layerScore = math.Max(math.Min(cMaxScore, cMaxScore-(expectedDistance*cDistanceWeight)), 0.0)
|
||||
|
||||
minScore := math.Min(packetScore, bitrateScore)
|
||||
minScore = math.Min(minScore, layerScore)
|
||||
|
||||
switch {
|
||||
case packetScore == minScore:
|
||||
reason = "packet"
|
||||
score = packetScore
|
||||
|
||||
case bitrateScore == minScore:
|
||||
reason = "bitrate"
|
||||
score = bitrateScore
|
||||
|
||||
case layerScore == minScore:
|
||||
reason = "layer"
|
||||
score = layerScore
|
||||
}
|
||||
|
||||
factor := cIncreaseFactor
|
||||
if score < q.score {
|
||||
factor = cDecreaseFactor
|
||||
}
|
||||
score = factor*score + (1.0-factor)*q.score
|
||||
if score < cMinScore {
|
||||
// lower bound to prevent score from becoming very small values due to extreme conditions.
|
||||
// Without a lower bound, it can get so low that it takes a long time to climb back to
|
||||
// better quality even under excellent conditions.
|
||||
score = cMinScore
|
||||
}
|
||||
}
|
||||
|
||||
prevCQ := scoreToConnectionQuality(q.score)
|
||||
currCQ := scoreToConnectionQuality(score)
|
||||
ulgr := q.params.Logger.WithUnlikelyValues(
|
||||
"reason", reason,
|
||||
"prevScore", q.score,
|
||||
"prevQuality", prevCQ,
|
||||
"prevStat", &q.stat,
|
||||
"score", score,
|
||||
"packetScore", packetScore,
|
||||
"layerScore", layerScore,
|
||||
"bitrateScore", bitrateScore,
|
||||
"quality", currCQ,
|
||||
"stat", stat,
|
||||
"packetLossWeight", q.packetLossWeight,
|
||||
"adjustedPacketLossWeight", aplw,
|
||||
"modePPS", q.ppsMode*int(cPPSQuantization),
|
||||
"expectedBits", expectedBits,
|
||||
"expectedDistance", expectedDistance,
|
||||
)
|
||||
switch {
|
||||
case utils.IsConnectionQualityLower(prevCQ, currCQ):
|
||||
ulgr.Debugw("quality drop")
|
||||
case utils.IsConnectionQualityHigher(prevCQ, currCQ):
|
||||
ulgr.Debugw("quality rise")
|
||||
default:
|
||||
packets := stat.packets + stat.packetsPadding
|
||||
lost := stat.packetsLost - stat.packetsMissing - stat.packetsOutOfOrder
|
||||
if int32(lost) < 0 {
|
||||
lost = 0
|
||||
}
|
||||
if packets != 0 && lost*100/packets > 10 {
|
||||
ulgr.Debugw("quality hold - high loss")
|
||||
}
|
||||
}
|
||||
|
||||
q.score = score
|
||||
q.stat = *stat
|
||||
q.lastUpdateAt = at
|
||||
}
|
||||
|
||||
func (q *qualityScorer) UpdateAt(stat *windowStat, at time.Time) {
|
||||
q.lock.Lock()
|
||||
defer q.lock.Unlock()
|
||||
|
||||
q.updateAtLocked(stat, at)
|
||||
}
|
||||
|
||||
func (q *qualityScorer) Update(stat *windowStat) {
|
||||
q.lock.Lock()
|
||||
defer q.lock.Unlock()
|
||||
|
||||
q.updateAtLocked(stat, time.Now())
|
||||
}
|
||||
|
||||
func (q *qualityScorer) isMuted() bool {
|
||||
return !q.mutedAt.IsZero() && (q.unmutedAt.IsZero() || q.mutedAt.After(q.unmutedAt))
|
||||
}
|
||||
|
||||
func (q *qualityScorer) isUnmutedEnough(at time.Time) bool {
|
||||
var sinceUnmute time.Duration
|
||||
if q.unmutedAt.IsZero() {
|
||||
sinceUnmute = at.Sub(q.lastUpdateAt)
|
||||
} else {
|
||||
sinceUnmute = at.Sub(q.unmutedAt)
|
||||
}
|
||||
|
||||
var sinceLayerUnmute time.Duration
|
||||
if q.layerUnmutedAt.IsZero() {
|
||||
sinceLayerUnmute = at.Sub(q.lastUpdateAt)
|
||||
} else {
|
||||
sinceLayerUnmute = at.Sub(q.layerUnmutedAt)
|
||||
}
|
||||
|
||||
validDuration := min(sinceLayerUnmute, sinceUnmute)
|
||||
|
||||
sinceLastUpdate := at.Sub(q.lastUpdateAt)
|
||||
|
||||
return validDuration.Seconds()/sinceLastUpdate.Seconds() > cUnmuteTimeThreshold
|
||||
}
|
||||
|
||||
func (q *qualityScorer) isLayerMuted() bool {
|
||||
return !q.layerMutedAt.IsZero() && (q.layerUnmutedAt.IsZero() || q.layerMutedAt.After(q.layerUnmutedAt))
|
||||
}
|
||||
|
||||
func (q *qualityScorer) isPaused() bool {
|
||||
return !q.pausedAt.IsZero() && (q.resumedAt.IsZero() || q.pausedAt.After(q.resumedAt))
|
||||
}
|
||||
|
||||
func (q *qualityScorer) getAdjustedPacketLossWeight(stat *windowStat) float64 {
|
||||
if stat == nil || stat.duration <= 0 {
|
||||
return q.packetLossWeight
|
||||
}
|
||||
|
||||
// packet loss is weighted by comparing against mode of packet rate seen.
|
||||
// this is to handle situations like DTX in audio and variable bit rate tracks like screen share.
|
||||
// and the effect of loss is not pronounced in those scenarios (audio silence, static screen share).
|
||||
// for example, DTX typically uses only 5% of packets of full packet rate. at that rate,
|
||||
// packet loss weight is reduced to ~22% of configured weight (i. e. sqrt(0.05) * configured weight)
|
||||
pps := float64(stat.packets) / stat.duration.Seconds()
|
||||
ppsQuantized := int(pps/cPPSQuantization + 0.5)
|
||||
if ppsQuantized < len(q.ppsHistogram)-1 {
|
||||
q.ppsHistogram[ppsQuantized]++
|
||||
} else {
|
||||
q.ppsHistogram[len(q.ppsHistogram)-1]++
|
||||
}
|
||||
q.numPPSReadings++
|
||||
|
||||
// calculate mode sparingly, do it under the following conditions
|
||||
// 1. minimum number of readings available (AND)
|
||||
// 2. enough time has elapsed since last calculation
|
||||
if q.numPPSReadings > cPPSMinReadings && time.Since(q.modeCalculatedAt) > cModeCalculationInterval {
|
||||
q.ppsMode = 0
|
||||
for i := range len(q.ppsHistogram) {
|
||||
if q.ppsHistogram[i] > q.ppsMode {
|
||||
q.ppsMode = i
|
||||
}
|
||||
}
|
||||
q.modeCalculatedAt = time.Now()
|
||||
q.params.Logger.Debugw("updating pps mode", "expected", stat.packets, "duration", stat.duration.Seconds(), "pps", pps, "ppsMode", q.ppsMode)
|
||||
}
|
||||
|
||||
if q.ppsMode == 0 || q.ppsMode == len(q.ppsHistogram)-1 {
|
||||
return q.packetLossWeight
|
||||
}
|
||||
|
||||
packetRatio := pps / (float64(q.ppsMode) * cPPSQuantization)
|
||||
if packetRatio > 1.0 {
|
||||
packetRatio = 1.0
|
||||
}
|
||||
return math.Sqrt(packetRatio) * q.packetLossWeight
|
||||
}
|
||||
|
||||
func (q *qualityScorer) GetScoreAndQuality() (float32, livekit.ConnectionQuality) {
|
||||
q.lock.RLock()
|
||||
defer q.lock.RUnlock()
|
||||
|
||||
return float32(q.score), scoreToConnectionQuality(q.score)
|
||||
}
|
||||
|
||||
func (q *qualityScorer) GetMOSAndQuality() (float32, livekit.ConnectionQuality) {
|
||||
q.lock.RLock()
|
||||
defer q.lock.RUnlock()
|
||||
|
||||
return scoreToMOS(q.score), scoreToConnectionQuality(q.score)
|
||||
}
|
||||
|
||||
// ------------------------------------------
|
||||
|
||||
func scoreToConnectionQuality(score float64) livekit.ConnectionQuality {
|
||||
// R-factor -> livekit.ConnectionQuality scale mapping roughly based on
|
||||
// https://www.itu.int/ITU-T/2005-2008/com12/emodelv1/tut.htm
|
||||
//
|
||||
// As there are only three levels in livekit.ConnectionQuality scale,
|
||||
// using a larger range for middling quality. Empirical evidence suggests
|
||||
// that a score of 60 does not correspond to `POOR` quality. Repair
|
||||
// mechanisms and use of algorithms like de-jittering makes the experience
|
||||
// better even under harsh conditions.
|
||||
if score > qualityTransitionScore[livekit.ConnectionQuality_GOOD] {
|
||||
return livekit.ConnectionQuality_EXCELLENT
|
||||
}
|
||||
|
||||
if score > qualityTransitionScore[livekit.ConnectionQuality_POOR] {
|
||||
return livekit.ConnectionQuality_GOOD
|
||||
}
|
||||
|
||||
if score > qualityTransitionScore[livekit.ConnectionQuality_LOST] {
|
||||
return livekit.ConnectionQuality_POOR
|
||||
}
|
||||
|
||||
return livekit.ConnectionQuality_LOST
|
||||
}
|
||||
|
||||
// ------------------------------------------
|
||||
|
||||
func scoreToMOS(score float64) float32 {
|
||||
if score <= 0.0 {
|
||||
return 1.0
|
||||
}
|
||||
|
||||
if score >= 100.0 {
|
||||
return 4.5
|
||||
}
|
||||
|
||||
return float32(1.0 + 0.035*score + (0.000007 * score * (score - 60.0) * (100.0 - score)))
|
||||
}
|
||||
|
||||
// ------------------------------------------
|
||||
Reference in New Issue
Block a user