lnd version, "hacked" to enable seedless restore from xprv + scb
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package routing
import (
"container/heap"
"errors"
"fmt"
"math"
"time"
sphinx "github.com/lightningnetwork/lightning-onion"
"github.com/lightningnetwork/lnd/channeldb"
"github.com/lightningnetwork/lnd/feature"
"github.com/lightningnetwork/lnd/lnwire"
"github.com/lightningnetwork/lnd/record"
"github.com/lightningnetwork/lnd/routing/route"
)
const (
// infinity is used as a starting distance in our shortest path search.
infinity = math.MaxInt64
// RiskFactorBillionths controls the influence of time lock delta
// of a channel on route selection. It is expressed as billionths
// of msat per msat sent through the channel per time lock delta
// block. See edgeWeight function below for more details.
// The chosen value is based on the previous incorrect weight function
// 1 + timelock + fee * fee. In this function, the fee penalty
// diminishes the time lock penalty for all but the smallest amounts.
// To not change the behaviour of path finding too drastically, a
// relatively small value is chosen which is still big enough to give
// some effect with smaller time lock values. The value may need
// tweaking and/or be made configurable in the future.
RiskFactorBillionths = 15
// estimatedNodeCount is used to preallocate the path finding structures
// to avoid resizing and copies. It should be number on the same order as
// the number of active nodes in the network.
estimatedNodeCount = 10000
)
// pathFinder defines the interface of a path finding algorithm.
type pathFinder = func(g *graphParams, r *RestrictParams,
cfg *PathFindingConfig, source, target route.Vertex,
amt lnwire.MilliSatoshi, finalHtlcExpiry int32) (
[]*channeldb.ChannelEdgePolicy, error)
var (
// DefaultAttemptCost is the default fixed virtual cost in path finding
// of a failed payment attempt. It is used to trade off potentially
// better routes against their probability of succeeding.
DefaultAttemptCost = lnwire.NewMSatFromSatoshis(100)
// DefaultAttemptCostPPM is the default proportional virtual cost in
// path finding weight units of executing a payment attempt that fails.
// It is used to trade off potentially better routes against their
// probability of succeeding. This parameter is expressed in parts per
// million of the payment amount.
//
// It is impossible to pick a perfect default value. The current value
// of 0.1% is based on the idea that a transaction fee of 1% is within
// reasonable territory and that a payment shouldn't need more than 10
// attempts.
DefaultAttemptCostPPM = int64(1000)
// DefaultMinRouteProbability is the default minimum probability for routes
// returned from findPath.
DefaultMinRouteProbability = float64(0.01)
// DefaultAprioriHopProbability is the default a priori probability for
// a hop.
DefaultAprioriHopProbability = float64(0.6)
)
// edgePolicyWithSource is a helper struct to keep track of the source node
// of a channel edge. ChannelEdgePolicy only contains to destination node
// of the edge.
type edgePolicyWithSource struct {
sourceNode route.Vertex
edge *channeldb.ChannelEdgePolicy
}
// finalHopParams encapsulates various parameters for route construction that
// apply to the final hop in a route. These features include basic payment data
// such as amounts and cltvs, as well as more complex features like destination
// custom records and payment address.
type finalHopParams struct {
amt lnwire.MilliSatoshi
totalAmt lnwire.MilliSatoshi
cltvDelta uint16
records record.CustomSet
paymentAddr *[32]byte
}
// newRoute constructs a route using the provided path and final hop constraints.
// Any destination specific fields from the final hop params will be attached
// assuming the destination's feature vector signals support, otherwise this
// method will fail. If the route is too long, or the selected path cannot
// support the fully payment including fees, then a non-nil error is returned.
//
// NOTE: The passed slice of ChannelHops MUST be sorted in forward order: from
// the source to the target node of the path finding attempt. It is assumed that
// any feature vectors on all hops have been validated for transitive
// dependencies.
func newRoute(sourceVertex route.Vertex,
pathEdges []*channeldb.ChannelEdgePolicy, currentHeight uint32,
finalHop finalHopParams) (*route.Route, error) {
var (
hops []*route.Hop
// totalTimeLock will accumulate the cumulative time lock
// across the entire route. This value represents how long the
// sender will need to wait in the *worst* case.
totalTimeLock = currentHeight
// nextIncomingAmount is the amount that will need to flow into
// the *next* hop. Since we're going to be walking the route
// backwards below, this next hop gets closer and closer to the
// sender of the payment.
nextIncomingAmount lnwire.MilliSatoshi
)
pathLength := len(pathEdges)
for i := pathLength - 1; i >= 0; i-- {
// Now we'll start to calculate the items within the per-hop
// payload for the hop this edge is leading to.
edge := pathEdges[i]
// We'll calculate the amounts, timelocks, and fees for each hop
// in the route. The base case is the final hop which includes
// their amount and timelocks. These values will accumulate
// contributions from the preceding hops back to the sender as
// we compute the route in reverse.
var (
amtToForward lnwire.MilliSatoshi
fee lnwire.MilliSatoshi
outgoingTimeLock uint32
tlvPayload bool
customRecords record.CustomSet
mpp *record.MPP
)
// Define a helper function that checks this edge's feature
// vector for support for a given feature. We assume at this
// point that the feature vectors transitive dependencies have
// been validated.
supports := func(feature lnwire.FeatureBit) bool {
// If this edge comes from router hints, the features
// could be nil.
if edge.Node.Features == nil {
return false
}
return edge.Node.Features.HasFeature(feature)
}
// We start by assuming the node doesn't support TLV. We'll now
// inspect the node's feature vector to see if we can promote
// the hop. We assume already that the feature vector's
// transitive dependencies have already been validated by path
// finding or some other means.
tlvPayload = supports(lnwire.TLVOnionPayloadOptional)
if i == len(pathEdges)-1 {
// If this is the last hop, then the hop payload will
// contain the exact amount. In BOLT #4: Onion Routing
// Protocol / "Payload for the Last Node", this is
// detailed.
amtToForward = finalHop.amt
// Fee is not part of the hop payload, but only used for
// reporting through RPC. Set to zero for the final hop.
fee = lnwire.MilliSatoshi(0)
// As this is the last hop, we'll use the specified
// final CLTV delta value instead of the value from the
// last link in the route.
totalTimeLock += uint32(finalHop.cltvDelta)
outgoingTimeLock = totalTimeLock
// Attach any custom records to the final hop if the
// receiver supports TLV.
if !tlvPayload && finalHop.records != nil {
return nil, errors.New("cannot attach " +
"custom records")
}
customRecords = finalHop.records
// If we're attaching a payment addr but the receiver
// doesn't support both TLV and payment addrs, fail.
payAddr := supports(lnwire.PaymentAddrOptional)
if !payAddr && finalHop.paymentAddr != nil {
return nil, errors.New("cannot attach " +
"payment addr")
}
// Otherwise attach the mpp record if it exists.
// TODO(halseth): move this to payment life cycle,
// where AMP options are set.
if finalHop.paymentAddr != nil {
mpp = record.NewMPP(
finalHop.totalAmt,
*finalHop.paymentAddr,
)
}
} else {
// The amount that the current hop needs to forward is
// equal to the incoming amount of the next hop.
amtToForward = nextIncomingAmount
// The fee that needs to be paid to the current hop is
// based on the amount that this hop needs to forward
// and its policy for the outgoing channel. This policy
// is stored as part of the incoming channel of
// the next hop.
fee = pathEdges[i+1].ComputeFee(amtToForward)
// We'll take the total timelock of the preceding hop as
// the outgoing timelock or this hop. Then we'll
// increment the total timelock incurred by this hop.
outgoingTimeLock = totalTimeLock
totalTimeLock += uint32(pathEdges[i+1].TimeLockDelta)
}
// Since we're traversing the path backwards atm, we prepend
// each new hop such that, the final slice of hops will be in
// the forwards order.
currentHop := &route.Hop{
PubKeyBytes: edge.Node.PubKeyBytes,
ChannelID: edge.ChannelID,
AmtToForward: amtToForward,
OutgoingTimeLock: outgoingTimeLock,
LegacyPayload: !tlvPayload,
CustomRecords: customRecords,
MPP: mpp,
}
hops = append([]*route.Hop{currentHop}, hops...)
// Finally, we update the amount that needs to flow into the
// *next* hop, which is the amount this hop needs to forward,
// accounting for the fee that it takes.
nextIncomingAmount = amtToForward + fee
}
// With the base routing data expressed as hops, build the full route
newRoute, err := route.NewRouteFromHops(
nextIncomingAmount, totalTimeLock, route.Vertex(sourceVertex),
hops,
)
if err != nil {
return nil, err
}
return newRoute, nil
}
// edgeWeight computes the weight of an edge. This value is used when searching
// for the shortest path within the channel graph between two nodes. Weight is
// is the fee itself plus a time lock penalty added to it. This benefits
// channels with shorter time lock deltas and shorter (hops) routes in general.
// RiskFactor controls the influence of time lock on route selection. This is
// currently a fixed value, but might be configurable in the future.
func edgeWeight(lockedAmt lnwire.MilliSatoshi, fee lnwire.MilliSatoshi,
timeLockDelta uint16) int64 {
// timeLockPenalty is the penalty for the time lock delta of this channel.
// It is controlled by RiskFactorBillionths and scales proportional
// to the amount that will pass through channel. Rationale is that it if
// a twice as large amount gets locked up, it is twice as bad.
timeLockPenalty := int64(lockedAmt) * int64(timeLockDelta) *
RiskFactorBillionths / 1000000000
return int64(fee) + timeLockPenalty
}
// graphParams wraps the set of graph parameters passed to findPath.
type graphParams struct {
// graph is the ChannelGraph to be used during path finding.
graph routingGraph
// additionalEdges is an optional set of edges that should be
// considered during path finding, that is not already found in the
// channel graph.
additionalEdges map[route.Vertex][]*channeldb.ChannelEdgePolicy
// bandwidthHints is an optional map from channels to bandwidths that
// can be populated if the caller has a better estimate of the current
// channel bandwidth than what is found in the graph. If set, it will
// override the capacities and disabled flags found in the graph for
// local channels when doing path finding. In particular, it should be
// set to the current available sending bandwidth for active local
// channels, and 0 for inactive channels.
bandwidthHints map[uint64]lnwire.MilliSatoshi
}
// RestrictParams wraps the set of restrictions passed to findPath that the
// found path must adhere to.
type RestrictParams struct {
// ProbabilitySource is a callback that is expected to return the
// success probability of traversing the channel from the node.
ProbabilitySource func(route.Vertex, route.Vertex,
lnwire.MilliSatoshi) float64
// FeeLimit is a maximum fee amount allowed to be used on the path from
// the source to the target.
FeeLimit lnwire.MilliSatoshi
// OutgoingChannelIDs is the list of channels that are allowed for the
// first hop. If nil, any channel may be used.
OutgoingChannelIDs []uint64
// LastHop is the pubkey of the last node before the final destination
// is reached. If nil, any node may be used.
LastHop *route.Vertex
// CltvLimit is the maximum time lock of the route excluding the final
// ctlv. After path finding is complete, the caller needs to increase
// all cltv expiry heights with the required final cltv delta.
CltvLimit uint32
// DestCustomRecords contains the custom records to drop off at the
// final hop, if any.
DestCustomRecords record.CustomSet
// DestFeatures is a feature vector describing what the final hop
// supports. If none are provided, pathfinding will try to inspect any
// features on the node announcement instead.
DestFeatures *lnwire.FeatureVector
// PaymentAddr is a random 32-byte value generated by the receiver to
// mitigate probing vectors and payment sniping attacks on overpaid
// invoices.
PaymentAddr *[32]byte
}
// PathFindingConfig defines global parameters that control the trade-off in
// path finding between fees and probabiity.
type PathFindingConfig struct {
// AttemptCost is the fixed virtual cost in path finding of a failed
// payment attempt. It is used to trade off potentially better routes
// against their probability of succeeding.
AttemptCost lnwire.MilliSatoshi
// AttemptCostPPM is the proportional virtual cost in path finding of a
// failed payment attempt. It is used to trade off potentially better
// routes against their probability of succeeding. This parameter is
// expressed in parts per million of the total payment amount.
AttemptCostPPM int64
// MinProbability defines the minimum success probability of the
// returned route.
MinProbability float64
}
// getOutgoingBalance returns the maximum available balance in any of the
// channels of the given node. The second return parameters is the total
// available balance.
func getOutgoingBalance(node route.Vertex, outgoingChans map[uint64]struct{},
bandwidthHints map[uint64]lnwire.MilliSatoshi,
g routingGraph) (lnwire.MilliSatoshi, lnwire.MilliSatoshi, error) {
var max, total lnwire.MilliSatoshi
cb := func(edgeInfo *channeldb.ChannelEdgeInfo, outEdge,
_ *channeldb.ChannelEdgePolicy) error {
if outEdge == nil {
return nil
}
chanID := outEdge.ChannelID
// Enforce outgoing channel restriction.
if outgoingChans != nil {
if _, ok := outgoingChans[chanID]; !ok {
return nil
}
}
bandwidth, ok := bandwidthHints[chanID]
// If the bandwidth is not available, use the channel capacity.
// This can happen when a channel is added to the graph after
// we've already queried the bandwidth hints.
if !ok {
bandwidth = lnwire.NewMSatFromSatoshis(
edgeInfo.Capacity,
)
}
if bandwidth > max {
max = bandwidth
}
total += bandwidth
return nil
}
// Iterate over all channels of the to node.
err := g.forEachNodeChannel(node, cb)
if err != nil {
return 0, 0, err
}
return max, total, err
}
// findPath attempts to find a path from the source node within the ChannelGraph
// to the target node that's capable of supporting a payment of `amt` value. The
// current approach implemented is modified version of Dijkstra's algorithm to
// find a single shortest path between the source node and the destination. The
// distance metric used for edges is related to the time-lock+fee costs along a
// particular edge. If a path is found, this function returns a slice of
// ChannelHop structs which encoded the chosen path from the target to the
// source. The search is performed backwards from destination node back to
// source. This is to properly accumulate fees that need to be paid along the
// path and accurately check the amount to forward at every node against the
// available bandwidth.
func findPath(g *graphParams, r *RestrictParams, cfg *PathFindingConfig,
source, target route.Vertex, amt lnwire.MilliSatoshi,
finalHtlcExpiry int32) ([]*channeldb.ChannelEdgePolicy, error) {
// Pathfinding can be a significant portion of the total payment
// latency, especially on low-powered devices. Log several metrics to
// aid in the analysis performance problems in this area.
start := time.Now()
nodesVisited := 0
edgesExpanded := 0
defer func() {
timeElapsed := time.Since(start)
log.Debugf("Pathfinding perf metrics: nodes=%v, edges=%v, "+
"time=%v", nodesVisited, edgesExpanded, timeElapsed)
}()
// If no destination features are provided, we will load what features
// we have for the target node from our graph.
features := r.DestFeatures
if features == nil {
var err error
features, err = g.graph.fetchNodeFeatures(target)
if err != nil {
return nil, err
}
}
// Ensure that the destination's features don't include unknown
// required features.
err := feature.ValidateRequired(features)
if err != nil {
log.Warnf("Pathfinding destination node features: %v", err)
return nil, errUnknownRequiredFeature
}
// Ensure that all transitive dependencies are set.
err = feature.ValidateDeps(features)
if err != nil {
log.Warnf("Pathfinding destination node features: %v", err)
return nil, errMissingDependentFeature
}
// Now that we know the feature vector is well formed, we'll proceed in
// checking that it supports the features we need, given our
// restrictions on the final hop.
// If the caller needs to send custom records, check that our
// destination feature vector supports TLV.
if len(r.DestCustomRecords) > 0 &&
!features.HasFeature(lnwire.TLVOnionPayloadOptional) {
return nil, errNoTlvPayload
}
// If the caller has a payment address to attach, check that our
// destination feature vector supports them.
if r.PaymentAddr != nil &&
!features.HasFeature(lnwire.PaymentAddrOptional) {
return nil, errNoPaymentAddr
}
// Set up outgoing channel map for quicker access.
var outgoingChanMap map[uint64]struct{}
if len(r.OutgoingChannelIDs) > 0 {
outgoingChanMap = make(map[uint64]struct{})
for _, outChan := range r.OutgoingChannelIDs {
outgoingChanMap[outChan] = struct{}{}
}
}
// If we are routing from ourselves, check that we have enough local
// balance available.
self := g.graph.sourceNode()
if source == self {
max, total, err := getOutgoingBalance(
self, outgoingChanMap, g.bandwidthHints, g.graph,
)
if err != nil {
return nil, err
}
// If the total outgoing balance isn't sufficient, it will be
// impossible to complete the payment.
if total < amt {
return nil, errInsufficientBalance
}
// If there is only not enough capacity on a single route, it
// may still be possible to complete the payment by splitting.
if max < amt {
return nil, errNoPathFound
}
}
// First we'll initialize an empty heap which'll help us to quickly
// locate the next edge we should visit next during our graph
// traversal.
nodeHeap := newDistanceHeap(estimatedNodeCount)
// Holds the current best distance for a given node.
distance := make(map[route.Vertex]*nodeWithDist, estimatedNodeCount)
additionalEdgesWithSrc := make(map[route.Vertex][]*edgePolicyWithSource)
for vertex, outgoingEdgePolicies := range g.additionalEdges {
// Build reverse lookup to find incoming edges. Needed because
// search is taken place from target to source.
for _, outgoingEdgePolicy := range outgoingEdgePolicies {
toVertex := outgoingEdgePolicy.Node.PubKeyBytes
incomingEdgePolicy := &edgePolicyWithSource{
sourceNode: vertex,
edge: outgoingEdgePolicy,
}
additionalEdgesWithSrc[toVertex] =
append(additionalEdgesWithSrc[toVertex],
incomingEdgePolicy)
}
}
// Build a preliminary destination hop structure to obtain the payload
// size.
var mpp *record.MPP
if r.PaymentAddr != nil {
mpp = record.NewMPP(amt, *r.PaymentAddr)
}
finalHop := route.Hop{
AmtToForward: amt,
OutgoingTimeLock: uint32(finalHtlcExpiry),
CustomRecords: r.DestCustomRecords,
LegacyPayload: !features.HasFeature(
lnwire.TLVOnionPayloadOptional,
),
MPP: mpp,
}
// We can't always assume that the end destination is publicly
// advertised to the network so we'll manually include the target node.
// The target node charges no fee. Distance is set to 0, because this is
// the starting point of the graph traversal. We are searching backwards
// to get the fees first time right and correctly match channel
// bandwidth.
//
// Don't record the initial partial path in the distance map and reserve
// that key for the source key in the case we route to ourselves.
partialPath := &nodeWithDist{
dist: 0,
weight: 0,
node: target,
amountToReceive: amt,
incomingCltv: finalHtlcExpiry,
probability: 1,
routingInfoSize: finalHop.PayloadSize(0),
}
// Calculate the absolute cltv limit. Use uint64 to prevent an overflow
// if the cltv limit is MaxUint32.
absoluteCltvLimit := uint64(r.CltvLimit) + uint64(finalHtlcExpiry)
// Calculate the absolute attempt cost that is used for probability
// estimation.
absoluteAttemptCost := int64(cfg.AttemptCost) +
int64(amt)*cfg.AttemptCostPPM/1000000
log.Debugf("Pathfinding absolute attempt cost: %v sats",
float64(absoluteAttemptCost)/1000)
// processEdge is a helper closure that will be used to make sure edges
// satisfy our specific requirements.
processEdge := func(fromVertex route.Vertex,
fromFeatures *lnwire.FeatureVector,
edge *channeldb.ChannelEdgePolicy, toNodeDist *nodeWithDist) {
edgesExpanded++
// Calculate amount that the candidate node would have to send
// out.
amountToSend := toNodeDist.amountToReceive
// Request the success probability for this edge.
edgeProbability := r.ProbabilitySource(
fromVertex, toNodeDist.node, amountToSend,
)
log.Trace(newLogClosure(func() string {
return fmt.Sprintf("path finding probability: fromnode=%v,"+
" tonode=%v, amt=%v, probability=%v",
fromVertex, toNodeDist.node, amountToSend,
edgeProbability)
}))
// If the probability is zero, there is no point in trying.
if edgeProbability == 0 {
return
}
// Compute fee that fromVertex is charging. It is based on the
// amount that needs to be sent to the next node in the route.
//
// Source node has no predecessor to pay a fee. Therefore set
// fee to zero, because it should not be included in the fee
// limit check and edge weight.
//
// Also determine the time lock delta that will be added to the
// route if fromVertex is selected. If fromVertex is the source
// node, no additional timelock is required.
var fee lnwire.MilliSatoshi
var timeLockDelta uint16
if fromVertex != source {
fee = edge.ComputeFee(amountToSend)
timeLockDelta = edge.TimeLockDelta
}
incomingCltv := toNodeDist.incomingCltv + int32(timeLockDelta)
// Check that we are within our CLTV limit.
if uint64(incomingCltv) > absoluteCltvLimit {
return
}
// amountToReceive is the amount that the node that is added to
// the distance map needs to receive from a (to be found)
// previous node in the route. That previous node will need to
// pay the amount that this node forwards plus the fee it
// charges.
amountToReceive := amountToSend + fee
// Check if accumulated fees would exceed fee limit when this
// node would be added to the path.
totalFee := amountToReceive - amt
if totalFee > r.FeeLimit {
return
}
// Calculate total probability of successfully reaching target
// by multiplying the probabilities. Both this edge and the rest
// of the route must succeed.
probability := toNodeDist.probability * edgeProbability
// If the probability is below the specified lower bound, we can
// abandon this direction. Adding further nodes can only lower
// the probability more.
if probability < cfg.MinProbability {
return
}
// By adding fromVertex in the route, there will be an extra
// weight composed of the fee that this node will charge and
// the amount that will be locked for timeLockDelta blocks in
// the HTLC that is handed out to fromVertex.
weight := edgeWeight(amountToReceive, fee, timeLockDelta)
// Compute the tentative weight to this new channel/edge
// which is the weight from our toNode to the target node
// plus the weight of this edge.
tempWeight := toNodeDist.weight + weight
// Add an extra factor to the weight to take into account the
// probability.
tempDist := getProbabilityBasedDist(
tempWeight, probability,
absoluteAttemptCost,
)
// If there is already a best route stored, compare this
// candidate route with the best route so far.
current, ok := distance[fromVertex]
if ok {
// If this route is worse than what we already found,
// skip this route.
if tempDist > current.dist {
return
}
// If the route is equally good and the probability
// isn't better, skip this route. It is important to
// also return if both cost and probability are equal,
// because otherwise the algorithm could run into an
// endless loop.
probNotBetter := probability <= current.probability
if tempDist == current.dist && probNotBetter {
return
}
}
// Every edge should have a positive time lock delta. If we
// encounter a zero delta, log a warning line.
if edge.TimeLockDelta == 0 {
log.Warnf("Channel %v has zero cltv delta",
edge.ChannelID)
}
// Calculate the total routing info size if this hop were to be
// included. If we are coming from the source hop, the payload
// size is zero, because the original htlc isn't in the onion
// blob.
var payloadSize uint64
if fromVertex != source {
supportsTlv := fromFeatures.HasFeature(
lnwire.TLVOnionPayloadOptional,
)
hop := route.Hop{
AmtToForward: amountToSend,
OutgoingTimeLock: uint32(
toNodeDist.incomingCltv,
),
LegacyPayload: !supportsTlv,
}
payloadSize = hop.PayloadSize(edge.ChannelID)
}
routingInfoSize := toNodeDist.routingInfoSize + payloadSize
// Skip paths that would exceed the maximum routing info size.
if routingInfoSize > sphinx.MaxPayloadSize {
return
}
// All conditions are met and this new tentative distance is
// better than the current best known distance to this node.
// The new better distance is recorded, and also our "next hop"
// map is populated with this edge.
withDist := &nodeWithDist{
dist: tempDist,
weight: tempWeight,
node: fromVertex,
amountToReceive: amountToReceive,
incomingCltv: incomingCltv,
probability: probability,
nextHop: edge,
routingInfoSize: routingInfoSize,
}
distance[fromVertex] = withDist
// Either push withDist onto the heap if the node
// represented by fromVertex is not already on the heap OR adjust
// its position within the heap via heap.Fix.
nodeHeap.PushOrFix(withDist)
}
// TODO(roasbeef): also add path caching
// * similar to route caching, but doesn't factor in the amount
// Cache features because we visit nodes multiple times.
featureCache := make(map[route.Vertex]*lnwire.FeatureVector)
// getGraphFeatures returns (cached) node features from the graph.
getGraphFeatures := func(node route.Vertex) (*lnwire.FeatureVector,
error) {
// Check cache for features of the fromNode.
fromFeatures, ok := featureCache[node]
if ok {
return fromFeatures, nil
}
// Fetch node features fresh from the graph.
fromFeatures, err := g.graph.fetchNodeFeatures(node)
if err != nil {
return nil, err
}
// Don't route through nodes that contain unknown required
// features and mark as nil in the cache.
err = feature.ValidateRequired(fromFeatures)
if err != nil {
featureCache[node] = nil
return nil, nil
}
// Don't route through nodes that don't properly set all
// transitive feature dependencies and mark as nil in the cache.
err = feature.ValidateDeps(fromFeatures)
if err != nil {
featureCache[node] = nil
return nil, nil
}
// Update cache.
featureCache[node] = fromFeatures
return fromFeatures, nil
}
routeToSelf := source == target
for {
nodesVisited++
pivot := partialPath.node
// Create unified policies for all incoming connections.
u := newUnifiedPolicies(self, pivot, outgoingChanMap)
err := u.addGraphPolicies(g.graph)
if err != nil {
return nil, err
}
for _, reverseEdge := range additionalEdgesWithSrc[pivot] {
u.addPolicy(reverseEdge.sourceNode, reverseEdge.edge, 0)
}
amtToSend := partialPath.amountToReceive
// Expand all connections using the optimal policy for each
// connection.
for fromNode, unifiedPolicy := range u.policies {
// The target node is not recorded in the distance map.
// Therefore we need to have this check to prevent
// creating a cycle. Only when we intend to route to
// self, we allow this cycle to form. In that case we'll
// also break out of the search loop below.
if !routeToSelf && fromNode == target {
continue
}
// Apply last hop restriction if set.
if r.LastHop != nil &&
pivot == target && fromNode != *r.LastHop {
continue
}
policy := unifiedPolicy.getPolicy(
amtToSend, g.bandwidthHints,
)
if policy == nil {
continue
}
// Get feature vector for fromNode.
fromFeatures, err := getGraphFeatures(fromNode)
if err != nil {
return nil, err
}
// If there are no valid features, skip this node.
if fromFeatures == nil {
continue
}
// Check if this candidate node is better than what we
// already have.
processEdge(fromNode, fromFeatures, policy, partialPath)
}
if nodeHeap.Len() == 0 {
break
}
// Fetch the node within the smallest distance from our source
// from the heap.
partialPath = heap.Pop(&nodeHeap).(*nodeWithDist)
// If we've reached our source (or we don't have any incoming
// edges), then we're done here and can exit the graph
// traversal early.
if partialPath.node == source {
break
}
}
// Use the distance map to unravel the forward path from source to
// target.
var pathEdges []*channeldb.ChannelEdgePolicy
currentNode := source
for {
// Determine the next hop forward using the next map.
currentNodeWithDist, ok := distance[currentNode]
if !ok {
// If the node doesnt have a next hop it means we didn't find a path.
return nil, errNoPathFound
}
// Add the next hop to the list of path edges.
pathEdges = append(pathEdges, currentNodeWithDist.nextHop)
// Advance current node.
currentNode = currentNodeWithDist.nextHop.Node.PubKeyBytes
// Check stop condition at the end of this loop. This prevents
// breaking out too soon for self-payments that have target set
// to source.
if currentNode == target {
break
}
}
// For the final hop, we'll set the node features to those determined
// above. These are either taken from the destination features, e.g.
// virtual or invoice features, or loaded as a fallback from the graph.
// The transitive dependencies were already validated above, so no need
// to do so now.
//
// NOTE: This may overwrite features loaded from the graph if
// destination features were provided. This is fine though, since our
// route construction does not care where the features are actually
// taken from. In the future we may wish to do route construction within
// findPath, and avoid using ChannelEdgePolicy altogether.
pathEdges[len(pathEdges)-1].Node.Features = features
log.Debugf("Found route: probability=%v, hops=%v, fee=%v",
distance[source].probability, len(pathEdges),
distance[source].amountToReceive-amt)
return pathEdges, nil
}
// getProbabilityBasedDist converts a weight into a distance that takes into
// account the success probability and the (virtual) cost of a failed payment
// attempt.
//
// Derivation:
//
// Suppose there are two routes A and B with fees Fa and Fb and success
// probabilities Pa and Pb.
//
// Is the expected cost of trying route A first and then B lower than trying the
// other way around?
//
// The expected cost of A-then-B is: Pa*Fa + (1-Pa)*Pb*(c+Fb)
//
// The expected cost of B-then-A is: Pb*Fb + (1-Pb)*Pa*(c+Fa)
//
// In these equations, the term representing the case where both A and B fail is
// left out because its value would be the same in both cases.
//
// Pa*Fa + (1-Pa)*Pb*(c+Fb) < Pb*Fb + (1-Pb)*Pa*(c+Fa)
//
// Pa*Fa + Pb*c + Pb*Fb - Pa*Pb*c - Pa*Pb*Fb < Pb*Fb + Pa*c + Pa*Fa - Pa*Pb*c - Pa*Pb*Fa
//
// Removing terms that cancel out:
// Pb*c - Pa*Pb*Fb < Pa*c - Pa*Pb*Fa
//
// Divide by Pa*Pb:
// c/Pa - Fb < c/Pb - Fa
//
// Move terms around:
// Fa + c/Pa < Fb + c/Pb
//
// So the value of F + c/P can be used to compare routes.
func getProbabilityBasedDist(weight int64, probability float64, penalty int64) int64 {
// Clamp probability to prevent overflow.
const minProbability = 0.00001
if probability < minProbability {
return infinity
}
return weight + int64(float64(penalty)/probability)
}