lnd.xprv/autopilot/prefattach_test.go
Johan T. Halseth cfd237bf1f
autopilot: move determining chanSize from heuristic to agent
Since we want to combine scores from multiple heuristics, things get
complicated if the heuristics report their own individual channel sizes.
Therefore we change the NodeScores interface slightly, letting the agent
specify the wanted channel size, and let the heuristic score the nodes
accordingly.
2019-01-08 10:10:59 +01:00

666 lines
16 KiB
Go

package autopilot
import (
"bytes"
"io/ioutil"
"os"
"testing"
"time"
prand "math/rand"
"github.com/btcsuite/btcd/btcec"
"github.com/btcsuite/btcutil"
"github.com/lightningnetwork/lnd/channeldb"
)
type genGraphFunc func() (testGraph, func(), error)
type testGraph interface {
ChannelGraph
addRandChannel(*btcec.PublicKey, *btcec.PublicKey,
btcutil.Amount) (*ChannelEdge, *ChannelEdge, error)
addRandNode() (*btcec.PublicKey, error)
}
func newDiskChanGraph() (testGraph, func(), error) {
// First, create a temporary directory to be used for the duration of
// this test.
tempDirName, err := ioutil.TempDir("", "channeldb")
if err != nil {
return nil, nil, err
}
// Next, create channeldb for the first time.
cdb, err := channeldb.Open(tempDirName)
if err != nil {
return nil, nil, err
}
cleanUp := func() {
cdb.Close()
os.RemoveAll(tempDirName)
}
return &databaseChannelGraph{
db: cdb.ChannelGraph(),
}, cleanUp, nil
}
var _ testGraph = (*databaseChannelGraph)(nil)
func newMemChanGraph() (testGraph, func(), error) {
return newMemChannelGraph(), nil, nil
}
var _ testGraph = (*memChannelGraph)(nil)
var chanGraphs = []struct {
name string
genFunc genGraphFunc
}{
{
name: "disk_graph",
genFunc: newDiskChanGraph,
},
{
name: "mem_graph",
genFunc: newMemChanGraph,
},
}
// TestConstrainedPrefAttachmentSelectEmptyGraph ensures that when passed an
// empty graph, the NodeSores function always returns a score of 0.
func TestConstrainedPrefAttachmentSelectEmptyGraph(t *testing.T) {
const (
minChanSize = 0
maxChanSize = btcutil.Amount(btcutil.SatoshiPerBitcoin)
chanLimit = 3
threshold = 0.5
)
constraints := NewConstraints(
minChanSize,
maxChanSize,
chanLimit,
0,
threshold,
)
prefAttach := NewConstrainedPrefAttachment(constraints)
// Create a random public key, which we will query to get a score for.
pub, err := randKey()
if err != nil {
t.Fatalf("unable to generate key: %v", err)
}
nodes := map[NodeID]struct{}{
NewNodeID(pub): {},
}
for _, graph := range chanGraphs {
success := t.Run(graph.name, func(t1 *testing.T) {
graph, cleanup, err := graph.genFunc()
if err != nil {
t1.Fatalf("unable to create graph: %v", err)
}
if cleanup != nil {
defer cleanup()
}
// With the necessary state initialized, we'll now
// attempt to get the score for this one node.
const walletFunds = btcutil.SatoshiPerBitcoin
scores, err := prefAttach.NodeScores(graph, nil,
walletFunds, nodes)
if err != nil {
t1.Fatalf("unable to select attachment "+
"directives: %v", err)
}
// Since the graph is empty, we expect the score to be
// 0, giving an empty return map.
if len(scores) != 0 {
t1.Fatalf("expected empty score map, "+
"instead got %v ", len(scores))
}
})
if !success {
break
}
}
}
// completeGraph is a helper method that adds numNodes fully connected nodes to
// the graph.
func completeGraph(t *testing.T, g testGraph, numNodes int) {
const chanCapacity = btcutil.SatoshiPerBitcoin
nodes := make(map[int]*btcec.PublicKey)
for i := 0; i < numNodes; i++ {
for j := i + 1; j < numNodes; j++ {
node1 := nodes[i]
node2 := nodes[j]
edge1, edge2, err := g.addRandChannel(
node1, node2, chanCapacity)
if err != nil {
t.Fatalf("unable to generate channel: %v", err)
}
if node1 == nil {
pubKeyBytes := edge1.Peer.PubKey()
nodes[i], err = btcec.ParsePubKey(
pubKeyBytes[:], btcec.S256(),
)
if err != nil {
t.Fatalf("unable to parse pubkey: %v",
err)
}
}
if node2 == nil {
pubKeyBytes := edge2.Peer.PubKey()
nodes[j], err = btcec.ParsePubKey(
pubKeyBytes[:], btcec.S256(),
)
if err != nil {
t.Fatalf("unable to parse pubkey: %v",
err)
}
}
}
}
}
// TestConstrainedPrefAttachmentSelectTwoVertexes ensures that when passed a
// graph with only two eligible vertexes, then both are given the same score,
// and the funds are appropriately allocated across each peer.
func TestConstrainedPrefAttachmentSelectTwoVertexes(t *testing.T) {
t.Parallel()
prand.Seed(time.Now().Unix())
const (
minChanSize = 0
maxChanSize = btcutil.Amount(btcutil.SatoshiPerBitcoin)
chanLimit = 3
threshold = 0.5
)
constraints := NewConstraints(
minChanSize,
maxChanSize,
chanLimit,
0,
threshold,
)
for _, graph := range chanGraphs {
success := t.Run(graph.name, func(t1 *testing.T) {
graph, cleanup, err := graph.genFunc()
if err != nil {
t1.Fatalf("unable to create graph: %v", err)
}
if cleanup != nil {
defer cleanup()
}
prefAttach := NewConstrainedPrefAttachment(constraints)
// For this set, we'll load the memory graph with two
// nodes, and a random channel connecting them.
const chanCapacity = btcutil.SatoshiPerBitcoin
edge1, edge2, err := graph.addRandChannel(nil, nil, chanCapacity)
if err != nil {
t1.Fatalf("unable to generate channel: %v", err)
}
// We also add a third, non-connected node to the graph.
_, err = graph.addRandNode()
if err != nil {
t1.Fatalf("unable to add random node: %v", err)
}
// Get the score for all nodes found in the graph at
// this point.
nodes := make(map[NodeID]struct{})
if err := graph.ForEachNode(func(n Node) error {
nodes[n.PubKey()] = struct{}{}
return nil
}); err != nil {
t1.Fatalf("unable to traverse graph: %v", err)
}
if len(nodes) != 3 {
t1.Fatalf("expected 2 nodes, found %d", len(nodes))
}
// With the necessary state initialized, we'll now
// attempt to get our candidates channel score given
// the current state of the graph.
candidates, err := prefAttach.NodeScores(graph, nil,
maxChanSize, nodes)
if err != nil {
t1.Fatalf("unable to select attachment "+
"directives: %v", err)
}
// We expect two candidates, since one of the nodes
// doesn't have any channels.
if len(candidates) != 2 {
t1.Fatalf("2 nodes should be scored, "+
"instead %v were", len(candidates))
}
// The candidates should be amongst the two edges
// created above.
for nodeID, candidate := range candidates {
edge1Pub := edge1.Peer.PubKey()
edge2Pub := edge2.Peer.PubKey()
switch {
case bytes.Equal(nodeID[:], edge1Pub[:]):
case bytes.Equal(nodeID[:], edge2Pub[:]):
default:
t1.Fatalf("attached to unknown node: %x",
nodeID[:])
}
// As the number of funds available exceed the
// max channel size, both edges should consume
// the maximum channel size.
if candidate.ChanAmt != maxChanSize {
t1.Fatalf("max channel size should be "+
"allocated, instead %v was: ",
maxChanSize)
}
// Since each of the nodes has 1 channel, out
// of only one channel in the graph, we expect
// their score to be 0.5.
expScore := float64(0.5)
if candidate.Score != expScore {
t1.Fatalf("expected candidate score "+
"to be %v, instead was %v",
expScore, candidate.Score)
}
if len(candidate.Addrs) == 0 {
t1.Fatalf("expected node to have " +
"available addresses, didn't")
}
}
})
if !success {
break
}
}
}
// TestConstrainedPrefAttachmentSelectInsufficientFunds ensures that if the
// balance of the backing wallet is below the set min channel size, then it
// never recommends candidates to attach to.
func TestConstrainedPrefAttachmentSelectInsufficientFunds(t *testing.T) {
t.Parallel()
prand.Seed(time.Now().Unix())
const (
minChanSize = 0
maxChanSize = btcutil.Amount(btcutil.SatoshiPerBitcoin)
chanLimit = 3
threshold = 0.5
)
constraints := NewConstraints(
minChanSize,
maxChanSize,
chanLimit,
0,
threshold,
)
for _, graph := range chanGraphs {
success := t.Run(graph.name, func(t1 *testing.T) {
graph, cleanup, err := graph.genFunc()
if err != nil {
t1.Fatalf("unable to create graph: %v", err)
}
if cleanup != nil {
defer cleanup()
}
// Add 10 nodes to the graph, with channels between
// them.
completeGraph(t, graph, 10)
prefAttach := NewConstrainedPrefAttachment(constraints)
nodes := make(map[NodeID]struct{})
if err := graph.ForEachNode(func(n Node) error {
nodes[n.PubKey()] = struct{}{}
return nil
}); err != nil {
t1.Fatalf("unable to traverse graph: %v", err)
}
// With the necessary state initialized, we'll now
// attempt to get the score for our list of nodes,
// passing zero for the amount of wallet funds. This
// should return candidates with zero-value channels.
scores, err := prefAttach.NodeScores(graph, nil,
0, nodes)
if err != nil {
t1.Fatalf("unable to select attachment "+
"directives: %v", err)
}
// Since all should be given a score of 0, the map
// should be empty.
for _, s := range scores {
if s.ChanAmt != 0 {
t1.Fatalf("expected zero channel, "+
"instead got %v ", s.ChanAmt)
}
}
})
if !success {
break
}
}
}
// TestConstrainedPrefAttachmentSelectGreedyAllocation tests that if upon
// returning node scores, the NodeScores method will attempt to greedily
// allocate all funds to each vertex (up to the max channel size).
func TestConstrainedPrefAttachmentSelectGreedyAllocation(t *testing.T) {
t.Parallel()
prand.Seed(time.Now().Unix())
const (
minChanSize = 0
maxChanSize = btcutil.Amount(btcutil.SatoshiPerBitcoin)
chanLimit = 3
threshold = 0.5
)
constraints := NewConstraints(
minChanSize,
maxChanSize,
chanLimit,
0,
threshold,
)
for _, graph := range chanGraphs {
success := t.Run(graph.name, func(t1 *testing.T) {
graph, cleanup, err := graph.genFunc()
if err != nil {
t1.Fatalf("unable to create graph: %v", err)
}
if cleanup != nil {
defer cleanup()
}
prefAttach := NewConstrainedPrefAttachment(constraints)
const chanCapacity = btcutil.SatoshiPerBitcoin
// Next, we'll add 3 nodes to the graph, creating an
// "open triangle topology".
edge1, _, err := graph.addRandChannel(nil, nil,
chanCapacity)
if err != nil {
t1.Fatalf("unable to create channel: %v", err)
}
peerPubBytes := edge1.Peer.PubKey()
peerPub, err := btcec.ParsePubKey(
peerPubBytes[:], btcec.S256(),
)
if err != nil {
t.Fatalf("unable to parse pubkey: %v", err)
}
_, _, err = graph.addRandChannel(
peerPub, nil, chanCapacity,
)
if err != nil {
t1.Fatalf("unable to create channel: %v", err)
}
// At this point, there should be three nodes in the
// graph, with node node having two edges.
numNodes := 0
twoChans := false
nodes := make(map[NodeID]struct{})
if err := graph.ForEachNode(func(n Node) error {
numNodes++
nodes[n.PubKey()] = struct{}{}
numChans := 0
err := n.ForEachChannel(func(c ChannelEdge) error {
numChans++
return nil
})
if err != nil {
return err
}
twoChans = twoChans || (numChans == 2)
return nil
}); err != nil {
t1.Fatalf("unable to traverse graph: %v", err)
}
if numNodes != 3 {
t1.Fatalf("expected 3 nodes, instead have: %v",
numNodes)
}
if !twoChans {
t1.Fatalf("expected node to have two channels")
}
// We'll now begin our test, modeling the available
// wallet balance to be 5.5 BTC. We're shooting for a
// 50/50 allocation, and have 3 BTC in channels. As a
// result, the heuristic should try to greedily
// allocate funds to channels.
scores, err := prefAttach.NodeScores(graph, nil,
maxChanSize, nodes)
if err != nil {
t1.Fatalf("unable to select attachment "+
"directives: %v", err)
}
if len(scores) != len(nodes) {
t1.Fatalf("all nodes should be scored, "+
"instead %v were", len(scores))
}
// The candidates should have a non-zero score, and
// have the max chan size funds recommended channel
// size.
for _, candidate := range scores {
if candidate.Score == 0 {
t1.Fatalf("Expected non-zero score")
}
if candidate.ChanAmt != maxChanSize {
t1.Fatalf("expected recommendation "+
"of %v, instead got %v",
maxChanSize, candidate.ChanAmt)
}
if len(candidate.Addrs) == 0 {
t1.Fatalf("expected node to have " +
"available addresses, didn't")
}
}
// Imagine a few channels are being opened, and there's
// only 0.5 BTC left. That should leave us with channel
// candidates of that size.
const remBalance = btcutil.SatoshiPerBitcoin * 0.5
scores, err = prefAttach.NodeScores(graph, nil,
remBalance, nodes)
if err != nil {
t1.Fatalf("unable to select attachment "+
"directives: %v", err)
}
if len(scores) != len(nodes) {
t1.Fatalf("all nodes should be scored, "+
"instead %v were", len(scores))
}
// Check that the recommended channel sizes are now the
// remaining channel balance.
for _, candidate := range scores {
if candidate.Score == 0 {
t1.Fatalf("Expected non-zero score")
}
if candidate.ChanAmt != remBalance {
t1.Fatalf("expected recommendation "+
"of %v, instead got %v",
remBalance, candidate.ChanAmt)
}
if len(candidate.Addrs) == 0 {
t1.Fatalf("expected node to have " +
"available addresses, didn't")
}
}
})
if !success {
break
}
}
}
// TestConstrainedPrefAttachmentSelectSkipNodes ensures that if a node was
// already selected as a channel counterparty, then that node will get a score
// of zero during scoring.
func TestConstrainedPrefAttachmentSelectSkipNodes(t *testing.T) {
t.Parallel()
prand.Seed(time.Now().Unix())
const (
minChanSize = 0
maxChanSize = btcutil.Amount(btcutil.SatoshiPerBitcoin)
chanLimit = 3
threshold = 0.5
)
constraints := NewConstraints(
minChanSize,
maxChanSize,
chanLimit,
0,
threshold,
)
for _, graph := range chanGraphs {
success := t.Run(graph.name, func(t1 *testing.T) {
graph, cleanup, err := graph.genFunc()
if err != nil {
t1.Fatalf("unable to create graph: %v", err)
}
if cleanup != nil {
defer cleanup()
}
prefAttach := NewConstrainedPrefAttachment(constraints)
// Next, we'll create a simple topology of two nodes,
// with a single channel connecting them.
const chanCapacity = btcutil.SatoshiPerBitcoin
_, _, err = graph.addRandChannel(nil, nil,
chanCapacity)
if err != nil {
t1.Fatalf("unable to create channel: %v", err)
}
nodes := make(map[NodeID]struct{})
if err := graph.ForEachNode(func(n Node) error {
nodes[n.PubKey()] = struct{}{}
return nil
}); err != nil {
t1.Fatalf("unable to traverse graph: %v", err)
}
if len(nodes) != 2 {
t1.Fatalf("expected 2 nodes, found %d", len(nodes))
}
// With our graph created, we'll now get the scores for
// all nodes in the graph.
scores, err := prefAttach.NodeScores(graph, nil,
maxChanSize, nodes)
if err != nil {
t1.Fatalf("unable to select attachment "+
"directives: %v", err)
}
if len(scores) != len(nodes) {
t1.Fatalf("all nodes should be scored, "+
"instead %v were", len(scores))
}
// THey should all have a score, and a maxChanSize
// channel size recommendation.
for _, candidate := range scores {
if candidate.Score == 0 {
t1.Fatalf("Expected non-zero score")
}
if candidate.ChanAmt != maxChanSize {
t1.Fatalf("expected recommendation "+
"of %v, instead got %v",
maxChanSize, candidate.ChanAmt)
}
if len(candidate.Addrs) == 0 {
t1.Fatalf("expected node to have " +
"available addresses, didn't")
}
}
// We'll simulate a channel update by adding the nodes
// to our set of channels.
var chans []Channel
for _, candidate := range scores {
chans = append(chans,
Channel{
Node: candidate.NodeID,
},
)
}
// If we attempt to make a call to the NodeScores
// function, without providing any new information,
// then all nodes should have a score of zero, since we
// already got channels to them.
scores, err = prefAttach.NodeScores(graph, chans,
maxChanSize, nodes)
if err != nil {
t1.Fatalf("unable to select attachment "+
"directives: %v", err)
}
// Since all should be given a score of 0, the map
// should be empty.
if len(scores) != 0 {
t1.Fatalf("expected empty score map, "+
"instead got %v ", len(scores))
}
})
if !success {
break
}
}
}