autopilot/prefattach_test: use NodeScores API for prefAttach tests
This commit converts the existing unit tests of Select into tests of NodeScores.
This commit is contained in:
Johan T. Halseth
parent
5e8e54083f
commit
be45697c6d
@ -230,10 +230,8 @@ var chanGraphs = []struct {
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},
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}
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// TestConstrainedPrefAttachmentSelectEmptyGraph ensures that when passed en
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// empty graph, the Select function always detects the state, and returns nil.
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// Otherwise, it would be possible for the main Select loop to entire an
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// infinite loop.
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// TestConstrainedPrefAttachmentSelectEmptyGraph ensures that when passed an
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// empty graph, the NodeSores function always returns a score of 0.
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func TestConstrainedPrefAttachmentSelectEmptyGraph(t *testing.T) {
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const (
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minChanSize = 0
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@ -249,15 +247,18 @@ func TestConstrainedPrefAttachmentSelectEmptyGraph(t *testing.T) {
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Allocation: threshold,
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}
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// First, we'll generate a random key that represents "us", and create
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// a new instance of the heuristic with our set parameters.
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self, err := randKey()
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if err != nil {
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t.Fatalf("unable to generate self key: %v", err)
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}
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prefAttach := NewConstrainedPrefAttachment(constraints)
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skipNodes := make(map[NodeID]struct{})
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// Create a random public key, which we will query to get a score for.
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pub, err := randKey()
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if err != nil {
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t.Fatalf("unable to generate key: %v", err)
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}
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nodes := map[NodeID]struct{}{
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NewNodeID(pub): {},
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}
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for _, graph := range chanGraphs {
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success := t.Run(graph.name, func(t1 *testing.T) {
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graph, cleanup, err := graph.genFunc()
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@ -268,23 +269,21 @@ func TestConstrainedPrefAttachmentSelectEmptyGraph(t *testing.T) {
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defer cleanup()
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}
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// With the necessary state initialized, we'll not
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// attempt to select a set of candidates channel for
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// creation given the current state of the graph.
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// With the necessary state initialized, we'll now
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// attempt to get the score for this one node.
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const walletFunds = btcutil.SatoshiPerBitcoin
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directives, err := prefAttach.Select(self, graph,
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walletFunds, 5, skipNodes)
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scores, err := prefAttach.NodeScores(graph, nil,
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walletFunds, nodes)
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if err != nil {
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t1.Fatalf("unable to select attachment "+
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"directives: %v", err)
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}
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// We shouldn't have selected any new directives as we
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// started with an empty graph.
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if len(directives) != 0 {
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t1.Fatalf("zero attachment directives "+
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"should have been returned instead %v were",
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len(directives))
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// Since the graph is empty, we expect the score to be
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// 0, giving an empty return map.
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if len(scores) != 0 {
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t1.Fatalf("expected empty score map, "+
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"instead got %v ", len(scores))
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}
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})
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if !success {
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@ -293,9 +292,50 @@ func TestConstrainedPrefAttachmentSelectEmptyGraph(t *testing.T) {
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}
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}
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// completeGraph is a helper method that adds numNodes fully connected nodes to
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// the graph.
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func completeGraph(t *testing.T, g testGraph, numNodes int) {
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const chanCapacity = btcutil.SatoshiPerBitcoin
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nodes := make(map[int]*btcec.PublicKey)
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for i := 0; i < numNodes; i++ {
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for j := i + 1; j < numNodes; j++ {
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node1 := nodes[i]
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node2 := nodes[j]
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edge1, edge2, err := g.addRandChannel(
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node1, node2, chanCapacity)
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if err != nil {
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t.Fatalf("unable to generate channel: %v", err)
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}
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if node1 == nil {
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pubKeyBytes := edge1.Peer.PubKey()
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nodes[i], err = btcec.ParsePubKey(
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pubKeyBytes[:], btcec.S256(),
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)
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if err != nil {
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t.Fatalf("unable to parse pubkey: %v",
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err)
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}
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}
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if node2 == nil {
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pubKeyBytes := edge2.Peer.PubKey()
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nodes[j], err = btcec.ParsePubKey(
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pubKeyBytes[:], btcec.S256(),
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)
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if err != nil {
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t.Fatalf("unable to parse pubkey: %v",
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err)
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}
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}
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}
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}
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}
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// TestConstrainedPrefAttachmentSelectTwoVertexes ensures that when passed a
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// graph with only two eligible vertexes, then both are selected (without any
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// repeats), and the funds are appropriately allocated across each peer.
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// graph with only two eligible vertexes, then both are given the same score,
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// and the funds are appropriately allocated across each peer.
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func TestConstrainedPrefAttachmentSelectTwoVertexes(t *testing.T) {
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t.Parallel()
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@ -314,7 +354,6 @@ func TestConstrainedPrefAttachmentSelectTwoVertexes(t *testing.T) {
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ChanLimit: chanLimit,
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Allocation: threshold,
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}
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skipNodes := make(map[NodeID]struct{})
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for _, graph := range chanGraphs {
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success := t.Run(graph.name, func(t1 *testing.T) {
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graph, cleanup, err := graph.genFunc()
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@ -325,13 +364,6 @@ func TestConstrainedPrefAttachmentSelectTwoVertexes(t *testing.T) {
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defer cleanup()
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}
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// First, we'll generate a random key that represents
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// "us", and create a new instance of the heuristic
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// with our set parameters.
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self, err := randKey()
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if err != nil {
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t1.Fatalf("unable to generate self key: %v", err)
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}
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prefAttach := NewConstrainedPrefAttachment(constraints)
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// For this set, we'll load the memory graph with two
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@ -342,43 +374,67 @@ func TestConstrainedPrefAttachmentSelectTwoVertexes(t *testing.T) {
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t1.Fatalf("unable to generate channel: %v", err)
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}
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// With the necessary state initialized, we'll not
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// attempt to select a set of candidates channel for
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// creation given the current state of the graph.
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// Get the score for all nodes found in the graph at
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// this point.
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nodes := make(map[NodeID]struct{})
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if err := graph.ForEachNode(func(n Node) error {
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nodes[n.PubKey()] = struct{}{}
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return nil
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}); err != nil {
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t1.Fatalf("unable to traverse graph: %v", err)
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}
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if len(nodes) != 2 {
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t1.Fatalf("expected 2 nodes, found %d", len(nodes))
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}
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// With the necessary state initialized, we'll now
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// attempt to get our candidates channel score given
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// the current state of the graph.
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const walletFunds = btcutil.SatoshiPerBitcoin * 10
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directives, err := prefAttach.Select(self, graph,
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walletFunds, 2, skipNodes)
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candidates, err := prefAttach.NodeScores(graph, nil,
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walletFunds, nodes)
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if err != nil {
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t1.Fatalf("unable to select attachment directives: %v", err)
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t1.Fatalf("unable to select attachment "+
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"directives: %v", err)
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}
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// Two new directives should have been selected, one
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// for each node already present within the graph.
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if len(directives) != 2 {
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t1.Fatalf("two attachment directives should have been "+
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"returned instead %v were", len(directives))
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if len(candidates) != len(nodes) {
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t1.Fatalf("all nodes should be scored, "+
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"instead %v were", len(candidates))
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}
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// The node attached to should be amongst the two edges
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// The candidates should be amongst the two edges
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// created above.
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for _, directive := range directives {
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for nodeID, candidate := range candidates {
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edge1Pub := edge1.Peer.PubKey()
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edge2Pub := edge2.Peer.PubKey()
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switch {
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case bytes.Equal(directive.NodeID[:], edge1Pub[:]):
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case bytes.Equal(directive.NodeID[:], edge2Pub[:]):
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case bytes.Equal(nodeID[:], edge1Pub[:]):
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case bytes.Equal(nodeID[:], edge2Pub[:]):
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default:
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t1.Fatalf("attached to unknown node: %x",
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directive.NodeID[:])
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nodeID[:])
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}
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// As the number of funds available exceed the
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// max channel size, both edges should consume
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// the maximum channel size.
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if directive.ChanAmt != maxChanSize {
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t1.Fatalf("max channel size should be allocated, "+
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"instead %v was: ", maxChanSize)
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if candidate.ChanAmt != maxChanSize {
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t1.Fatalf("max channel size should be "+
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"allocated, instead %v was: ",
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maxChanSize)
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}
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// Since each of the nodes has 1 channel, out
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// of only one channel in the graph, we expect
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// their score to be 0.5.
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expScore := float64(0.5)
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if candidate.Score != expScore {
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t1.Fatalf("expected candidate score "+
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"to be %v, instead was %v",
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expScore, candidate.Score)
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}
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}
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})
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@ -410,7 +466,6 @@ func TestConstrainedPrefAttachmentSelectInsufficientFunds(t *testing.T) {
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Allocation: threshold,
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}
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skipNodes := make(map[NodeID]struct{})
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for _, graph := range chanGraphs {
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success := t.Run(graph.name, func(t1 *testing.T) {
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graph, cleanup, err := graph.genFunc()
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@ -421,28 +476,36 @@ func TestConstrainedPrefAttachmentSelectInsufficientFunds(t *testing.T) {
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defer cleanup()
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}
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// First, we'll generate a random key that represents
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// "us", and create a new instance of the heuristic
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// with our set parameters.
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self, err := randKey()
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if err != nil {
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t1.Fatalf("unable to generate self key: %v", err)
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}
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// Add 10 nodes to the graph, with channels between
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// them.
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completeGraph(t, graph, 10)
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prefAttach := NewConstrainedPrefAttachment(constraints)
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// Next, we'll attempt to select a set of candidates,
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nodes := make(map[NodeID]struct{})
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if err := graph.ForEachNode(func(n Node) error {
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nodes[n.PubKey()] = struct{}{}
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return nil
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}); err != nil {
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t1.Fatalf("unable to traverse graph: %v", err)
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}
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// With the necessary state initialized, we'll now
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// attempt to get the score for our list of nodes,
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// passing zero for the amount of wallet funds. This
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// should return an empty slice of directives.
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directives, err := prefAttach.Select(self, graph, 0,
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0, skipNodes)
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// should return an all-zero score set.
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scores, err := prefAttach.NodeScores(graph, nil,
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0, nodes)
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if err != nil {
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t1.Fatalf("unable to select attachment "+
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"directives: %v", err)
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}
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if len(directives) != 0 {
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t1.Fatalf("zero attachment directives "+
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"should have been returned instead %v were",
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len(directives))
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// Since all should be given a score of 0, the map
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// should be empty.
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if len(scores) != 0 {
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t1.Fatalf("expected empty score map, "+
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"instead got %v ", len(scores))
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}
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})
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if !success {
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@ -452,9 +515,8 @@ func TestConstrainedPrefAttachmentSelectInsufficientFunds(t *testing.T) {
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}
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// TestConstrainedPrefAttachmentSelectGreedyAllocation tests that if upon
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// deciding a set of candidates, we're unable to evenly split our funds, then
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// we attempt to greedily allocate all funds to each selected vertex (up to the
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// max channel size).
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// returning node scores, the NodeScores method will attempt to greedily
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// allocate all funds to each vertex (up to the max channel size).
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func TestConstrainedPrefAttachmentSelectGreedyAllocation(t *testing.T) {
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t.Parallel()
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@ -474,7 +536,6 @@ func TestConstrainedPrefAttachmentSelectGreedyAllocation(t *testing.T) {
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Allocation: threshold,
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}
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skipNodes := make(map[NodeID]struct{})
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for _, graph := range chanGraphs {
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success := t.Run(graph.name, func(t1 *testing.T) {
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graph, cleanup, err := graph.genFunc()
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@ -485,13 +546,6 @@ func TestConstrainedPrefAttachmentSelectGreedyAllocation(t *testing.T) {
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defer cleanup()
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}
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// First, we'll generate a random key that represents
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// "us", and create a new instance of the heuristic
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// with our set parameters.
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self, err := randKey()
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if err != nil {
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t1.Fatalf("unable to generate self key: %v", err)
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}
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prefAttach := NewConstrainedPrefAttachment(constraints)
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const chanCapacity = btcutil.SatoshiPerBitcoin
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@ -521,9 +575,10 @@ func TestConstrainedPrefAttachmentSelectGreedyAllocation(t *testing.T) {
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// graph, with node node having two edges.
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numNodes := 0
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twoChans := false
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nodes := make(map[NodeID]struct{})
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if err := graph.ForEachNode(func(n Node) error {
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numNodes++
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nodes[n.PubKey()] = struct{}{}
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numChans := 0
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err := n.ForEachChannel(func(c ChannelEdge) error {
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numChans++
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@ -553,38 +608,61 @@ func TestConstrainedPrefAttachmentSelectGreedyAllocation(t *testing.T) {
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// result, the heuristic should try to greedily
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// allocate funds to channels.
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const availableBalance = btcutil.SatoshiPerBitcoin * 2.5
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directives, err := prefAttach.Select(self, graph,
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availableBalance, 5, skipNodes)
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scores, err := prefAttach.NodeScores(graph, nil,
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availableBalance, nodes)
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if err != nil {
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t1.Fatalf("unable to select attachment "+
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"directives: %v", err)
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}
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// Three directives should have been returned.
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if len(directives) != 3 {
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t1.Fatalf("expected 3 directives, instead "+
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"got: %v", len(directives))
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if len(scores) != len(nodes) {
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t1.Fatalf("all nodes should be scored, "+
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"instead %v were", len(scores))
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}
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// The two directive should have the max channel amount
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// allocated.
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if directives[0].ChanAmt != maxChanSize {
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t1.Fatalf("expected recommendation of %v, "+
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"instead got %v", maxChanSize,
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directives[0].ChanAmt)
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}
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if directives[1].ChanAmt != maxChanSize {
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t1.Fatalf("expected recommendation of %v, "+
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"instead got %v", maxChanSize,
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directives[1].ChanAmt)
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// The candidates should have a non-zero score, and
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// have the max chan size funds recommended channel
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// size.
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for _, candidate := range scores {
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if candidate.Score == 0 {
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t1.Fatalf("Expected non-zero score")
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}
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// The third channel should have been allocated the
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// remainder, or 0.5 BTC.
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if directives[2].ChanAmt != (btcutil.SatoshiPerBitcoin * 0.5) {
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t1.Fatalf("expected recommendation of %v, "+
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"instead got %v", maxChanSize,
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directives[2].ChanAmt)
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if candidate.ChanAmt != maxChanSize {
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t1.Fatalf("expected recommendation "+
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"of %v, instead got %v",
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maxChanSize, candidate.ChanAmt)
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}
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}
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// Imagine a few channels are being opened, and there's
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// only 0.5 BTC left. That should leave us with channel
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// candidates of that size.
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const remBalance = btcutil.SatoshiPerBitcoin * 0.5
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scores, err = prefAttach.NodeScores(graph, nil,
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remBalance, nodes)
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if err != nil {
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t1.Fatalf("unable to select attachment "+
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"directives: %v", err)
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}
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if len(scores) != len(nodes) {
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t1.Fatalf("all nodes should be scored, "+
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"instead %v were", len(scores))
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}
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// Check that the recommended channel sizes are now the
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// remaining channel balance.
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for _, candidate := range scores {
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if candidate.Score == 0 {
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t1.Fatalf("Expected non-zero score")
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}
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if candidate.ChanAmt != remBalance {
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t1.Fatalf("expected recommendation "+
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"of %v, instead got %v",
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remBalance, candidate.ChanAmt)
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}
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}
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})
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if !success {
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@ -594,8 +672,8 @@ func TestConstrainedPrefAttachmentSelectGreedyAllocation(t *testing.T) {
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}
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// TestConstrainedPrefAttachmentSelectSkipNodes ensures that if a node was
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// already select for attachment, then that node is excluded from the set of
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// candidate nodes.
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// already selected as a channel counterparty, then that node will get a score
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// of zero during scoring.
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func TestConstrainedPrefAttachmentSelectSkipNodes(t *testing.T) {
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t.Parallel()
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@ -617,8 +695,6 @@ func TestConstrainedPrefAttachmentSelectSkipNodes(t *testing.T) {
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for _, graph := range chanGraphs {
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success := t.Run(graph.name, func(t1 *testing.T) {
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skipNodes := make(map[NodeID]struct{})
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graph, cleanup, err := graph.genFunc()
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if err != nil {
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t1.Fatalf("unable to create graph: %v", err)
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@ -627,13 +703,6 @@ func TestConstrainedPrefAttachmentSelectSkipNodes(t *testing.T) {
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defer cleanup()
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}
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// First, we'll generate a random key that represents
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// "us", and create a new instance of the heuristic
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// with our set parameters.
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self, err := randKey()
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if err != nil {
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t1.Fatalf("unable to generate self key: %v", err)
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}
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prefAttach := NewConstrainedPrefAttachment(constraints)
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// Next, we'll create a simple topology of two nodes,
|
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@ -645,44 +714,74 @@ func TestConstrainedPrefAttachmentSelectSkipNodes(t *testing.T) {
|
||||
t1.Fatalf("unable to create channel: %v", err)
|
||||
}
|
||||
|
||||
// With our graph created, we'll now execute the Select
|
||||
// function to recommend potential attachment
|
||||
// candidates.
|
||||
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.
|
||||
const availableBalance = btcutil.SatoshiPerBitcoin * 2.5
|
||||
directives, err := prefAttach.Select(self, graph,
|
||||
availableBalance, 2, skipNodes)
|
||||
scores, err := prefAttach.NodeScores(graph, nil,
|
||||
availableBalance, nodes)
|
||||
if err != nil {
|
||||
t1.Fatalf("unable to select attachment "+
|
||||
"directives: %v", err)
|
||||
}
|
||||
|
||||
// As the channel limit is three, and two nodes are
|
||||
// present in the graph, both should be selected.
|
||||
if len(directives) != 2 {
|
||||
t1.Fatalf("expected two directives, instead "+
|
||||
"got %v", len(directives))
|
||||
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)
|
||||
}
|
||||
}
|
||||
|
||||
// We'll simulate a channel update by adding the nodes
|
||||
// we just establish channel with the to set of nodes
|
||||
// to be skipped.
|
||||
skipNodes[directives[0].NodeID] = struct{}{}
|
||||
skipNodes[directives[1].NodeID] = struct{}{}
|
||||
// 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 Select function,
|
||||
// without providing any new information, then we
|
||||
// should get no new directives as both nodes has
|
||||
// already been attached to.
|
||||
directives, err = prefAttach.Select(self, graph,
|
||||
availableBalance, 2, skipNodes)
|
||||
// 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,
|
||||
availableBalance, nodes)
|
||||
if err != nil {
|
||||
t1.Fatalf("unable to select attachment "+
|
||||
"directives: %v", err)
|
||||
}
|
||||
|
||||
if len(directives) != 0 {
|
||||
t1.Fatalf("zero new directives should have been "+
|
||||
"selected, but %v were", len(directives))
|
||||
// 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 {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user