autopilot/prefattach: trace log score process
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@ -107,6 +107,8 @@ func (p *PrefAttachment) NodeScores(g ChannelGraph, chans []Channel,
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}
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medianChanSize := Median(allChans)
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log.Tracef("Found channel median %v for preferential score heuristic",
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medianChanSize)
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// Count the number of large-ish channels for each particular node in
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// the graph.
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@ -143,11 +145,14 @@ func (p *PrefAttachment) NodeScores(g ChannelGraph, chans []Channel,
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// early.
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nID := NodeID(n.PubKey())
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if _, ok := nodes[nID]; !ok {
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log.Tracef("Node %x not among nodes to score, "+
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"ignoring", nID[:])
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return nil
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}
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// Otherwise we'll record the number of channels.
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nodeChanNum[nID] = nodeChans
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log.Tracef("Counted %v channels for node %x", nodeChans, nID[:])
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return nil
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}); err != nil {
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@ -158,6 +163,7 @@ func (p *PrefAttachment) NodeScores(g ChannelGraph, chans []Channel,
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// preferences, so we return, indicating all candidates get a score of
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// zero.
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if maxChans == 0 {
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log.Tracef("No channels in the graph")
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return nil, nil
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}
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@ -171,18 +177,19 @@ func (p *PrefAttachment) NodeScores(g ChannelGraph, chans []Channel,
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candidates := make(map[NodeID]*NodeScore)
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for nID, nodeChans := range nodeChanNum {
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_, ok := existingPeers[nID]
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switch {
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// If the node is among or existing channel peers, we don't
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// need another channel.
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case ok:
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if _, ok := existingPeers[nID]; ok {
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log.Tracef("Node %x among existing peers for pref "+
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"attach heuristic, giving zero score", nID[:])
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continue
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}
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// If the node had no large channels, we skip it, since it
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// would have gotten a zero score anyway.
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case nodeChans <= 0:
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if nodeChans <= 0 {
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log.Tracef("Skipping node %x with channel count %v",
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nID[:], nodeChans)
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continue
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}
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@ -190,6 +197,9 @@ func (p *PrefAttachment) NodeScores(g ChannelGraph, chans []Channel,
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// channels in the graph, scaled such that the highest-degree
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// node will be given a score of 1.0.
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score := float64(nodeChans) / float64(maxChans)
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log.Tracef("Giving node %x a pref attach score of %v",
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nID[:], score)
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candidates[nID] = &NodeScore{
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NodeID: nID,
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Score: score,
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