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routing+lnrpc: make capacity factor configurable
We make the capacity factor configurable via an lnd.conf routerrpc apriori parameter. The capacity factor trades off increased success probability with a reduced set of channel candidates, which may lead to increased fees. To let users choose whether the factor is active or not, we add a config setting where a capacity fraction of 1.0 disables the factor. We limit the capacity fraction to values between 0.75 and 1.0. Lower values may discard too many channels.
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@ -433,6 +433,8 @@ in the lnwire package](https://github.com/lightningnetwork/lnd/pull/7303)
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* [A new probability model ("bimodal") is added which models channel based
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liquidities within a probability theory framework.](
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https://github.com/lightningnetwork/lnd/pull/6815)
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* [The a priori capacity factor is made configurable and its effect is
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limited.](https://github.com/lightningnetwork/lnd/pull/7444)
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## Configuration
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* Note that [this pathfinding change](https://github.com/lightningnetwork/lnd/pull/6815)
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@ -50,9 +50,10 @@ func DefaultConfig() *Config {
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MaxMcHistory: routing.DefaultMaxMcHistory,
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McFlushInterval: routing.DefaultMcFlushInterval,
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AprioriConfig: &AprioriConfig{
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HopProbability: routing.DefaultAprioriHopProbability,
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Weight: routing.DefaultAprioriWeight,
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PenaltyHalfLife: routing.DefaultPenaltyHalfLife,
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HopProbability: routing.DefaultAprioriHopProbability,
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Weight: routing.DefaultAprioriWeight,
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PenaltyHalfLife: routing.DefaultPenaltyHalfLife,
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CapacityFraction: routing.DefaultCapacityFraction,
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},
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BimodalConfig: &BimodalConfig{
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Scale: int64(routing.DefaultBimodalScaleMsat),
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@ -76,9 +77,10 @@ func GetRoutingConfig(cfg *Config) *RoutingConfig {
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MaxMcHistory: cfg.MaxMcHistory,
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McFlushInterval: cfg.McFlushInterval,
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AprioriConfig: &AprioriConfig{
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HopProbability: cfg.AprioriConfig.HopProbability,
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Weight: cfg.AprioriConfig.Weight,
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PenaltyHalfLife: cfg.AprioriConfig.PenaltyHalfLife,
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HopProbability: cfg.AprioriConfig.HopProbability,
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Weight: cfg.AprioriConfig.Weight,
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PenaltyHalfLife: cfg.AprioriConfig.PenaltyHalfLife,
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CapacityFraction: cfg.AprioriConfig.CapacityFraction,
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},
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BimodalConfig: &BimodalConfig{
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Scale: cfg.BimodalConfig.Scale,
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@ -63,6 +63,9 @@ type AprioriConfig struct {
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// PenaltyHalfLife defines after how much time a penalized node or
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// channel is back at 50% probability.
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PenaltyHalfLife time.Duration `long:"penaltyhalflife" description:"Defines the duration after which a penalized node or channel is back at 50% probability"`
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// CapacityFraction defines the fraction of channels' capacities that is considered liquid.
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CapacityFraction float64 `long:"capacityfraction" description:"Defines the fraction of channels' capacities that is considered liquid. Valid values are in [0.75, 1]."`
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}
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// BimodalConfig defines parameters for the bimodal probability.
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@ -73,6 +73,7 @@ func newIntegratedRoutingContext(t *testing.T) *integratedRoutingContext {
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PenaltyHalfLife: 30 * time.Minute,
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AprioriHopProbability: 0.6,
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AprioriWeight: 0.5,
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CapacityFraction: testCapacityFraction,
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}
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estimator, err := NewAprioriEstimator(aCfg)
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require.NoError(t, err)
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@ -94,6 +94,7 @@ func (ctx *mcTestContext) restartMc() {
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PenaltyHalfLife: testPenaltyHalfLife,
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AprioriHopProbability: testAprioriHopProbability,
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AprioriWeight: testAprioriWeight,
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CapacityFraction: testCapacityFraction,
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}
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estimator, err := NewAprioriEstimator(aCfg)
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require.NoError(ctx.t, err)
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@ -12,11 +12,11 @@ import (
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)
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const (
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// capacityCutoffFraction and capacitySmearingFraction define how
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// capacity-related probability reweighting works.
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// capacityCutoffFraction defines the fraction of the channel capacity
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// at which the effect roughly sets in and capacitySmearingFraction
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// defines over which range the factor changes from 1 to 0.
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// CapacityFraction and capacitySmearingFraction define how
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// capacity-related probability reweighting works. CapacityFraction
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// defines the fraction of the channel capacity at which the effect
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// roughly sets in and capacitySmearingFraction defines over which range
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// the factor changes from 1 to 0.
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//
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// We may fall below the minimum required probability
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// (DefaultMinRouteProbability) when the amount comes close to the
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@ -34,19 +34,23 @@ const (
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// fulfill the requirement with capacityFactor(cap, cap) ~ 0.076 (see
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// tests).
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// The capacityCutoffFraction is a trade-off between usage of the
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// provided capacity and expected probability reduction when we send the
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// full amount. The success probability in the random balance model can
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// be approximated with P(a) = 1 - a/c, for amount a and capacity c. If
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// we require a probability P(a) > 0.25, this translates into a value of
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// 0.75 for a/c.
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capacityCutoffFraction = 0.75
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// DefaultCapacityFraction is the default value for CapacityFraction.
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DefaultCapacityFraction = 0.75
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// We don't want to have a sharp drop of the capacity factor to zero at
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// capacityCutoffFraction, but a smooth smearing such that some residual
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// probability is left when spending the whole amount, see above.
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capacitySmearingFraction = 0.1
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// minCapacityFraction is the minimum allowed value for
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// CapacityFraction. The success probability in the random balance model
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// (which may not be an accurate description of the liquidity
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// distribution in the network) can be approximated with P(a) = 1 - a/c,
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// for amount a and capacity c. If we require a probability P(a) = 0.25,
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// this translates into a value of 0.75 for a/c. We limit this value in
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// order to not discard too many channels.
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minCapacityFraction = 0.75
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// AprioriEstimatorName is used to identify the apriori probability
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// estimator.
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AprioriEstimatorName = "apriori"
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@ -64,6 +68,11 @@ var (
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// ErrInvalidAprioriWeight is returned when we get an apriori weight
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// that is out of range.
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ErrInvalidAprioriWeight = errors.New("apriori weight must be in [0, 1]")
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// ErrInvalidCapacityFraction is returned when we get a capacity
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// fraction that is out of range.
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ErrInvalidCapacityFraction = fmt.Errorf("capacity fraction must be in "+
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"[%v, 1]", minCapacityFraction)
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)
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// AprioriConfig contains configuration for our probability estimator.
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@ -84,6 +93,12 @@ type AprioriConfig struct {
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// probability completely and only base the probability on historical
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// results, unless there are none available.
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AprioriWeight float64
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// CapacityFraction is the fraction of a channel's capacity that we
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// consider to have liquidity. For amounts that come close to or exceed
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// the fraction, an additional penalty is applied. A value of 1.0
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// disables the capacityFactor.
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CapacityFraction float64
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}
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// validate checks the configuration of the estimator for allowed values.
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@ -100,6 +115,10 @@ func (p AprioriConfig) validate() error {
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return ErrInvalidAprioriWeight
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}
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if p.CapacityFraction < minCapacityFraction || p.CapacityFraction > 1 {
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return ErrInvalidCapacityFraction
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}
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return nil
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}
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@ -109,6 +128,7 @@ func DefaultAprioriConfig() AprioriConfig {
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PenaltyHalfLife: DefaultPenaltyHalfLife,
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AprioriHopProbability: DefaultAprioriHopProbability,
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AprioriWeight: DefaultAprioriWeight,
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CapacityFraction: DefaultCapacityFraction,
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}
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}
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@ -155,9 +175,10 @@ func (p *AprioriEstimator) Config() estimatorConfig {
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func (p *AprioriEstimator) String() string {
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return fmt.Sprintf("estimator type: %v, penalty halflife time: %v, "+
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"apriori hop probability: %v, apriori weight: %v, previous "+
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"success probability: %v", AprioriEstimatorName,
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p.PenaltyHalfLife, p.AprioriHopProbability, p.AprioriWeight,
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p.prevSuccessProbability)
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"success probability: %v, capacity fraction: %v",
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AprioriEstimatorName, p.PenaltyHalfLife,
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p.AprioriHopProbability, p.AprioriWeight,
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p.prevSuccessProbability, p.CapacityFraction)
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}
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// getNodeProbability calculates the probability for connections from a node
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@ -169,7 +190,9 @@ func (p *AprioriEstimator) getNodeProbability(now time.Time,
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// We reduce the apriori hop probability if the amount comes close to
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// the capacity.
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apriori := p.AprioriHopProbability * capacityFactor(amt, capacity)
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apriori := p.AprioriHopProbability * capacityFactor(
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amt, capacity, p.CapacityFraction,
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)
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// If the channel history is not to be taken into account, we can return
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// early here with the configured a priori probability.
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@ -246,7 +269,15 @@ func (p *AprioriEstimator) getWeight(age time.Duration) float64 {
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// and 0 for amt >> cutoffMsat. The function drops significantly when amt
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// reaches cutoffMsat. smearingMsat determines over which scale the reduction
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// takes place.
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func capacityFactor(amt lnwire.MilliSatoshi, capacity btcutil.Amount) float64 {
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func capacityFactor(amt lnwire.MilliSatoshi, capacity btcutil.Amount,
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capacityCutoffFraction float64) float64 {
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// The special value of 1.0 for capacityFactor disables any effect from
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// this factor.
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if capacityCutoffFraction == 1 {
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return 1.0
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}
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// If we don't have information about the capacity, which can be the
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// case for hop hints or local channels, we return unity to not alter
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// anything.
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@ -27,8 +27,9 @@ const (
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aprioriPrevSucProb = 0.95
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// testCapacity is used to define a capacity for some channels.
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testCapacity = btcutil.Amount(100_000)
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testAmount = lnwire.MilliSatoshi(50_000_000)
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testCapacity = btcutil.Amount(100_000)
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testAmount = lnwire.MilliSatoshi(50_000_000)
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testCapacityFraction = 0.75
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// Defines the capacityFactor for testAmount and testCapacity.
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capFactor = 0.9241
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@ -53,6 +54,7 @@ func newEstimatorTestContext(t *testing.T) *estimatorTestContext {
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AprioriHopProbability: aprioriHopProb,
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AprioriWeight: aprioriWeight,
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PenaltyHalfLife: time.Hour,
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CapacityFraction: testCapacityFraction,
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},
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prevSuccessProbability: aprioriPrevSucProb,
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},
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@ -227,49 +229,65 @@ func TestCapacityCutoff(t *testing.T) {
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capacityMSat := capacitySat * 1000
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tests := []struct {
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name string
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amountMsat int
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expectedFactor float64
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name string
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capacityFraction float64
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amountMsat int
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expectedFactor float64
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}{
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// Minimal CapacityFraction of 0.75.
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{
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name: "zero amount",
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expectedFactor: 1,
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name: "zero amount",
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capacityFraction: 0.75,
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expectedFactor: 1,
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},
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{
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name: "low amount",
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amountMsat: capacityMSat / 10,
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expectedFactor: 0.998,
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name: "low amount",
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capacityFraction: 0.75,
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amountMsat: capacityMSat / 10,
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expectedFactor: 0.998,
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},
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{
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name: "half amount",
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amountMsat: capacityMSat / 2,
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expectedFactor: 0.924,
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name: "half amount",
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capacityFraction: 0.75,
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amountMsat: capacityMSat / 2,
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expectedFactor: 0.924,
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},
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{
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name: "cutoff amount",
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name: "cutoff amount",
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capacityFraction: 0.75,
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amountMsat: int(
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capacityCutoffFraction * float64(capacityMSat),
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0.75 * float64(capacityMSat),
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),
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expectedFactor: 0.5,
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},
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{
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name: "high amount",
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amountMsat: capacityMSat * 80 / 100,
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expectedFactor: 0.377,
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name: "high amount",
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capacityFraction: 0.75,
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amountMsat: capacityMSat * 80 / 100,
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expectedFactor: 0.377,
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},
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{
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// Even when we spend the full capacity, we still want
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// to have some residual probability to not throw away
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// routes due to a min probability requirement of the
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// whole path.
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name: "full amount",
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amountMsat: capacityMSat,
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expectedFactor: 0.076,
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name: "full amount",
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capacityFraction: 0.75,
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amountMsat: capacityMSat,
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expectedFactor: 0.076,
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},
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{
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name: "more than capacity",
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amountMsat: capacityMSat + 1,
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expectedFactor: 0.0,
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name: "more than capacity",
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capacityFraction: 0.75,
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amountMsat: capacityMSat + 1,
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expectedFactor: 0.0,
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},
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// Inactive capacity factor.
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{
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name: "inactive capacity factor",
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capacityFraction: 1.0,
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amountMsat: capacityMSat,
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expectedFactor: 1.00,
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},
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}
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@ -282,6 +300,7 @@ func TestCapacityCutoff(t *testing.T) {
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got := capacityFactor(
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lnwire.MilliSatoshi(test.amountMsat),
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btcutil.Amount(capacitySat),
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test.capacityFraction,
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)
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require.InDelta(t, test.expectedFactor, got, 0.001)
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})
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@ -123,6 +123,7 @@ func createTestCtxFromGraphInstanceAssumeValid(t *testing.T,
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PenaltyHalfLife: time.Hour,
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AprioriHopProbability: 0.9,
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AprioriWeight: 0.5,
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CapacityFraction: testCapacityFraction,
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}
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estimator, err := NewAprioriEstimator(aCfg)
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require.NoError(t, err)
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@ -1142,6 +1142,11 @@ litecoin.node=ltcd
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; probability (default: 1h0m0s)
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; routerrpc.apriori.penaltyhalflife=2h
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; Defines the fraction of channels' capacities that is considered liquid in
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; pathfinding, a value between [0.75-1.0]. A value of 1.0 disables this
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; feature. (default: 0.75)
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; routerrpc.apriori.capacityfraction=0.9
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; Describes the scale over which channels still have some liquidity left on
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; both channel ends. A very low value (compared to typical channel capacities)
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; means that we assume unbalanced channels, a very high value means randomly
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