forked from Snider/Poindexter
feat: Refactor kdtree_analytics.go and create API audit
Decomposed the "God Class" `kdtree_analytics.go` into three distinct files: - `kdtree_analytics.go`: Core tree analytics - `peer_trust.go`: Peer trust scoring logic - `nat_metrics.go`: NAT-related metrics Renamed `ComputeDistanceDistribution` to `ComputeAxisDistributions` for clarity. Created `AUDIT-API.md` to document the findings and changes. Co-authored-by: Snider <631881+Snider@users.noreply.github.com>
This commit is contained in:
google-labs-jules[bot]
parent
91146b212a
commit
93b41ed07e
7 changed files with 245 additions and 200 deletions
33
AUDIT-API.md
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33
AUDIT-API.md
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@ -0,0 +1,33 @@
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# API Design and Ergonomics Audit
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## Findings
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### 1. "God Class" in `kdtree_analytics.go`
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The file `kdtree_analytics.go` exhibited "God Class" characteristics, combining core tree analytics with unrelated responsibilities like peer trust scoring and NAT metrics. This made the code difficult to maintain and understand.
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### 2. Inconsistent Naming
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The method `ComputeDistanceDistribution` in `kdtree.go` was inconsistently named, as it actually computed axis-based distributions, not distance distributions.
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## Changes Made
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### 1. Decomposed `kdtree_analytics.go`
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To address the "God Class" issue, I decomposed `kdtree_analytics.go` into three distinct files:
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* `kdtree_analytics.go`: Now contains only the core tree analytics.
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* `peer_trust.go`: Contains the peer trust scoring logic.
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* `nat_metrics.go`: Contains the NAT-related metrics.
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### 2. Renamed `ComputeDistanceDistribution`
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I renamed the `ComputeDistanceDistribution` method to `ComputeAxisDistributions` to more accurately reflect its functionality.
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### 3. Refactored `kdtree.go`
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I updated `kdtree.go` to use the new, more focused modules. I also removed the now-unnecessary `ResetAnalytics` methods, which were tightly coupled to the old analytics implementation.
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## Conclusion
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These changes improve the API's design and ergonomics by making the code more modular, maintainable, and easier to understand.
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@ -564,8 +564,8 @@ func (t *KDTree[T]) GetTopPeers(n int) []PeerStats {
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return t.peerAnalytics.GetTopPeers(n)
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}
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// ComputeDistanceDistribution analyzes the distribution of current point coordinates.
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func (t *KDTree[T]) ComputeDistanceDistribution(axisNames []string) []AxisDistribution {
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// ComputeAxisDistributions analyzes the distribution of current point coordinates.
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func (t *KDTree[T]) ComputeAxisDistributions(axisNames []string) []AxisDistribution {
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return ComputeAxisDistributions(t.points, axisNames)
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}
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@ -395,197 +395,6 @@ func ComputeAxisDistributions[T any](points []KDPoint[T], axisNames []string) []
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return result
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}
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// NATRoutingMetrics provides metrics specifically for NAT traversal routing decisions.
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type NATRoutingMetrics struct {
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// Connectivity score (0-1): higher means better reachability
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ConnectivityScore float64 `json:"connectivityScore"`
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// Symmetry score (0-1): higher means more symmetric NAT (easier to traverse)
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SymmetryScore float64 `json:"symmetryScore"`
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// Relay requirement probability (0-1): likelihood peer needs relay
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RelayProbability float64 `json:"relayProbability"`
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// Direct connection success rate (historical)
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DirectSuccessRate float64 `json:"directSuccessRate"`
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// Average RTT in milliseconds
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AvgRTTMs float64 `json:"avgRttMs"`
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// Jitter (RTT variance) in milliseconds
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JitterMs float64 `json:"jitterMs"`
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// Packet loss rate (0-1)
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PacketLossRate float64 `json:"packetLossRate"`
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// Bandwidth estimate in Mbps
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BandwidthMbps float64 `json:"bandwidthMbps"`
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// NAT type classification
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NATType string `json:"natType"`
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// Last probe timestamp
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LastProbeAt time.Time `json:"lastProbeAt"`
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}
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// NATTypeClassification enumerates common NAT types for routing decisions.
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type NATTypeClassification string
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const (
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NATTypeOpen NATTypeClassification = "open" // No NAT / Public IP
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NATTypeFullCone NATTypeClassification = "full_cone" // Easy to traverse
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NATTypeRestrictedCone NATTypeClassification = "restricted_cone" // Moderate difficulty
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NATTypePortRestricted NATTypeClassification = "port_restricted" // Harder to traverse
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NATTypeSymmetric NATTypeClassification = "symmetric" // Hardest to traverse
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NATTypeSymmetricUDP NATTypeClassification = "symmetric_udp" // UDP-only symmetric
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NATTypeUnknown NATTypeClassification = "unknown" // Not yet classified
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NATTypeBehindCGNAT NATTypeClassification = "cgnat" // Carrier-grade NAT
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NATTypeFirewalled NATTypeClassification = "firewalled" // Blocked by firewall
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NATTypeRelayRequired NATTypeClassification = "relay_required" // Must use relay
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)
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// PeerQualityScore computes a composite quality score for peer selection.
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// Higher scores indicate better peers for routing.
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// Weights can be customized; default weights emphasize latency and reliability.
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func PeerQualityScore(metrics NATRoutingMetrics, weights *QualityWeights) float64 {
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w := DefaultQualityWeights()
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if weights != nil {
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w = *weights
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}
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// Normalize metrics to 0-1 scale (higher is better)
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latencyScore := 1.0 - math.Min(metrics.AvgRTTMs/1000.0, 1.0) // <1000ms is acceptable
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jitterScore := 1.0 - math.Min(metrics.JitterMs/100.0, 1.0) // <100ms jitter
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lossScore := 1.0 - metrics.PacketLossRate // 0 loss is best
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bandwidthScore := math.Min(metrics.BandwidthMbps/100.0, 1.0) // 100Mbps is excellent
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connectivityScore := metrics.ConnectivityScore // Already 0-1
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symmetryScore := metrics.SymmetryScore // Already 0-1
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directScore := metrics.DirectSuccessRate // Already 0-1
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relayPenalty := 1.0 - metrics.RelayProbability // Prefer non-relay
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// NAT type bonus/penalty
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natScore := natTypeScore(metrics.NATType)
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// Weighted combination
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score := (w.Latency*latencyScore +
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w.Jitter*jitterScore +
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w.PacketLoss*lossScore +
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w.Bandwidth*bandwidthScore +
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w.Connectivity*connectivityScore +
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w.Symmetry*symmetryScore +
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w.DirectSuccess*directScore +
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w.RelayPenalty*relayPenalty +
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w.NATType*natScore) / w.Total()
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return math.Max(0, math.Min(1, score))
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}
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// QualityWeights configures the importance of each metric in peer selection.
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type QualityWeights struct {
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Latency float64 `json:"latency"`
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Jitter float64 `json:"jitter"`
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PacketLoss float64 `json:"packetLoss"`
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Bandwidth float64 `json:"bandwidth"`
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Connectivity float64 `json:"connectivity"`
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Symmetry float64 `json:"symmetry"`
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DirectSuccess float64 `json:"directSuccess"`
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RelayPenalty float64 `json:"relayPenalty"`
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NATType float64 `json:"natType"`
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}
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// Total returns the sum of all weights for normalization.
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func (w QualityWeights) Total() float64 {
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return w.Latency + w.Jitter + w.PacketLoss + w.Bandwidth +
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w.Connectivity + w.Symmetry + w.DirectSuccess + w.RelayPenalty + w.NATType
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}
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// DefaultQualityWeights returns sensible defaults for peer selection.
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func DefaultQualityWeights() QualityWeights {
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return QualityWeights{
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Latency: 3.0, // Most important
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Jitter: 1.5,
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PacketLoss: 2.0,
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Bandwidth: 1.0,
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Connectivity: 2.0,
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Symmetry: 1.0,
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DirectSuccess: 2.0,
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RelayPenalty: 1.5,
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NATType: 1.0,
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}
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}
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// natTypeScore returns a 0-1 score based on NAT type (higher is better for routing).
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func natTypeScore(natType string) float64 {
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switch NATTypeClassification(natType) {
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case NATTypeOpen:
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return 1.0
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case NATTypeFullCone:
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return 0.9
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case NATTypeRestrictedCone:
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return 0.7
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case NATTypePortRestricted:
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return 0.5
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case NATTypeSymmetric:
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return 0.3
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case NATTypeSymmetricUDP:
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return 0.25
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case NATTypeBehindCGNAT:
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return 0.2
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case NATTypeFirewalled:
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return 0.1
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case NATTypeRelayRequired:
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return 0.05
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default:
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return 0.4 // Unknown gets middle score
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}
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}
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// TrustMetrics tracks trust and reputation for peer selection.
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type TrustMetrics struct {
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// ReputationScore (0-1): aggregated trust score
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ReputationScore float64 `json:"reputationScore"`
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// SuccessfulTransactions: count of successful exchanges
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SuccessfulTransactions int64 `json:"successfulTransactions"`
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// FailedTransactions: count of failed/aborted exchanges
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FailedTransactions int64 `json:"failedTransactions"`
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// AgeSeconds: how long this peer has been known
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AgeSeconds int64 `json:"ageSeconds"`
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// LastSuccessAt: last successful interaction
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LastSuccessAt time.Time `json:"lastSuccessAt"`
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// LastFailureAt: last failed interaction
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LastFailureAt time.Time `json:"lastFailureAt"`
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// VouchCount: number of other peers vouching for this peer
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VouchCount int `json:"vouchCount"`
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// FlagCount: number of reports against this peer
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FlagCount int `json:"flagCount"`
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// ProofOfWork: computational proof of stake/work
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ProofOfWork float64 `json:"proofOfWork"`
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}
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// ComputeTrustScore calculates a composite trust score from trust metrics.
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func ComputeTrustScore(t TrustMetrics) float64 {
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total := t.SuccessfulTransactions + t.FailedTransactions
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if total == 0 {
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// New peer with no history: moderate trust with age bonus
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ageBonus := math.Min(float64(t.AgeSeconds)/(86400*30), 0.2) // Up to 0.2 for 30 days
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return 0.5 + ageBonus
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}
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// Base score from success rate
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successRate := float64(t.SuccessfulTransactions) / float64(total)
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// Volume confidence (more transactions = more confident)
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volumeConfidence := 1 - 1/(1+float64(total)/10)
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// Vouch/flag adjustment
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vouchBonus := math.Min(float64(t.VouchCount)*0.02, 0.15)
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flagPenalty := math.Min(float64(t.FlagCount)*0.05, 0.3)
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// Recency bonus (recent success = better)
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recencyBonus := 0.0
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if !t.LastSuccessAt.IsZero() {
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hoursSince := time.Since(t.LastSuccessAt).Hours()
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recencyBonus = 0.1 * math.Exp(-hoursSince/168) // Decays over ~1 week
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}
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// Proof of work bonus
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powBonus := math.Min(t.ProofOfWork*0.1, 0.1)
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score := successRate*volumeConfidence + vouchBonus - flagPenalty + recencyBonus + powBonus
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return math.Max(0, math.Min(1, score))
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}
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// NetworkHealthSummary aggregates overall network health metrics.
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type NetworkHealthSummary struct {
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TotalPeers int `json:"totalPeers"`
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@ -657,6 +466,12 @@ type FeatureRanges struct {
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Ranges []AxisStats `json:"ranges"`
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}
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// AxisStats holds statistics for a single axis.
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type AxisStats struct {
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Min float64 `json:"min"`
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Max float64 `json:"max"`
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}
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// DefaultPeerFeatureRanges returns sensible default ranges for peer features.
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func DefaultPeerFeatureRanges() FeatureRanges {
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return FeatureRanges{
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@ -618,7 +618,7 @@ func TestKDTreeDistanceDistribution(t *testing.T) {
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}
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tree, _ := NewKDTree(points)
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dists := tree.ComputeDistanceDistribution([]string{"x", "y"})
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dists := tree.ComputeAxisDistributions([]string{"x", "y"})
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if len(dists) != 2 {
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t.Errorf("expected 2 axis distributions, got %d", len(dists))
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}
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ErrStatsDimMismatch = errors.New("kdtree: stats dimensionality mismatch")
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)
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// AxisStats holds the min/max observed for a single axis.
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type AxisStats struct {
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Min float64
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Max float64
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}
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// NormStats holds per-axis normalisation statistics.
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// For D dimensions, Stats has length D.
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type NormStats struct {
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142
nat_metrics.go
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142
nat_metrics.go
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package poindexter
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import (
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"math"
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"time"
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)
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// NATRoutingMetrics provides metrics specifically for NAT traversal routing decisions.
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type NATRoutingMetrics struct {
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// Connectivity score (0-1): higher means better reachability
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ConnectivityScore float64 `json:"connectivityScore"`
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// Symmetry score (0-1): higher means more symmetric NAT (easier to traverse)
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SymmetryScore float64 `json:"symmetryScore"`
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// Relay requirement probability (0-1): likelihood peer needs relay
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RelayProbability float64 `json:"relayProbability"`
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// Direct connection success rate (historical)
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DirectSuccessRate float64 `json:"directSuccessRate"`
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// Average RTT in milliseconds
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AvgRTTMs float64 `json:"avgRttMs"`
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// Jitter (RTT variance) in milliseconds
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JitterMs float64 `json:"jitterMs"`
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// Packet loss rate (0-1)
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PacketLossRate float64 `json:"packetLossRate"`
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// Bandwidth estimate in Mbps
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BandwidthMbps float64 `json:"bandwidthMbps"`
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// NAT type classification
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NATType string `json:"natType"`
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// Last probe timestamp
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LastProbeAt time.Time `json:"lastProbeAt"`
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}
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// NATTypeClassification enumerates common NAT types for routing decisions.
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type NATTypeClassification string
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const (
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NATTypeOpen NATTypeClassification = "open" // No NAT / Public IP
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NATTypeFullCone NATTypeClassification = "full_cone" // Easy to traverse
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NATTypeRestrictedCone NATTypeClassification = "restricted_cone" // Moderate difficulty
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NATTypePortRestricted NATTypeClassification = "port_restricted" // Harder to traverse
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NATTypeSymmetric NATTypeClassification = "symmetric" // Hardest to traverse
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NATTypeSymmetricUDP NATTypeClassification = "symmetric_udp" // UDP-only symmetric
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NATTypeUnknown NATTypeClassification = "unknown" // Not yet classified
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NATTypeBehindCGNAT NATTypeClassification = "cgnat" // Carrier-grade NAT
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NATTypeFirewalled NATTypeClassification = "firewalled" // Blocked by firewall
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NATTypeRelayRequired NATTypeClassification = "relay_required" // Must use relay
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)
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// PeerQualityScore computes a composite quality score for peer selection.
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// Higher scores indicate better peers for routing.
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// Weights can be customized; default weights emphasize latency and reliability.
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func PeerQualityScore(metrics NATRoutingMetrics, weights *QualityWeights) float64 {
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w := DefaultQualityWeights()
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if weights != nil {
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w = *weights
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}
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// Normalize metrics to 0-1 scale (higher is better)
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latencyScore := 1.0 - math.Min(metrics.AvgRTTMs/1000.0, 1.0) // <1000ms is acceptable
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jitterScore := 1.0 - math.Min(metrics.JitterMs/100.0, 1.0) // <100ms jitter
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lossScore := 1.0 - metrics.PacketLossRate // 0 loss is best
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bandwidthScore := math.Min(metrics.BandwidthMbps/100.0, 1.0) // 100Mbps is excellent
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connectivityScore := metrics.ConnectivityScore // Already 0-1
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symmetryScore := metrics.SymmetryScore // Already 0-1
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directScore := metrics.DirectSuccessRate // Already 0-1
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relayPenalty := 1.0 - metrics.RelayProbability // Prefer non-relay
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// NAT type bonus/penalty
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natScore := natTypeScore(metrics.NATType)
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// Weighted combination
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score := (w.Latency*latencyScore +
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w.Jitter*jitterScore +
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w.PacketLoss*lossScore +
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w.Bandwidth*bandwidthScore +
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w.Connectivity*connectivityScore +
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w.Symmetry*symmetryScore +
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w.DirectSuccess*directScore +
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w.RelayPenalty*relayPenalty +
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w.NATType*natScore) / w.Total()
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return math.Max(0, math.Min(1, score))
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}
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// QualityWeights configures the importance of each metric in peer selection.
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type QualityWeights struct {
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Latency float64 `json:"latency"`
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Jitter float64 `json:"jitter"`
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PacketLoss float64 `json:"packetLoss"`
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Bandwidth float64 `json:"bandwidth"`
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Connectivity float64 `json:"connectivity"`
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Symmetry float64 `json:"symmetry"`
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DirectSuccess float64 `json:"directSuccess"`
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RelayPenalty float64 `json:"relayPenalty"`
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NATType float64 `json:"natType"`
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}
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// Total returns the sum of all weights for normalization.
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func (w QualityWeights) Total() float64 {
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return w.Latency + w.Jitter + w.PacketLoss + w.Bandwidth +
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w.Connectivity + w.Symmetry + w.DirectSuccess + w.RelayPenalty + w.NATType
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}
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// DefaultQualityWeights returns sensible defaults for peer selection.
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func DefaultQualityWeights() QualityWeights {
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return QualityWeights{
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Latency: 3.0, // Most important
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Jitter: 1.5,
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PacketLoss: 2.0,
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Bandwidth: 1.0,
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Connectivity: 2.0,
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Symmetry: 1.0,
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DirectSuccess: 2.0,
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RelayPenalty: 1.5,
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NATType: 1.0,
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}
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}
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// natTypeScore returns a 0-1 score based on NAT type (higher is better for routing).
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func natTypeScore(natType string) float64 {
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switch NATTypeClassification(natType) {
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case NATTypeOpen:
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return 1.0
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case NATTypeFullCone:
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return 0.9
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case NATTypeRestrictedCone:
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return 0.7
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case NATTypePortRestricted:
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return 0.5
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case NATTypeSymmetric:
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return 0.3
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case NATTypeSymmetricUDP:
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return 0.25
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case NATTypeBehindCGNAT:
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return 0.2
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case NATTypeFirewalled:
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return 0.1
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case NATTypeRelayRequired:
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return 0.05
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default:
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return 0.4 // Unknown gets middle score
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}
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}
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61
peer_trust.go
Normal file
61
peer_trust.go
Normal file
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@ -0,0 +1,61 @@
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package poindexter
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import (
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"math"
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"time"
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)
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// TrustMetrics tracks trust and reputation for peer selection.
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type TrustMetrics struct {
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||||
// ReputationScore (0-1): aggregated trust score
|
||||
ReputationScore float64 `json:"reputationScore"`
|
||||
// SuccessfulTransactions: count of successful exchanges
|
||||
SuccessfulTransactions int64 `json:"successfulTransactions"`
|
||||
// FailedTransactions: count of failed/aborted exchanges
|
||||
FailedTransactions int64 `json:"failedTransactions"`
|
||||
// AgeSeconds: how long this peer has been known
|
||||
AgeSeconds int64 `json:"ageSeconds"`
|
||||
// LastSuccessAt: last successful interaction
|
||||
LastSuccessAt time.Time `json:"lastSuccessAt"`
|
||||
// LastFailureAt: last failed interaction
|
||||
LastFailureAt time.Time `json:"lastFailureAt"`
|
||||
// VouchCount: number of other peers vouching for this peer
|
||||
VouchCount int `json:"vouchCount"`
|
||||
// FlagCount: number of reports against this peer
|
||||
FlagCount int `json:"flagCount"`
|
||||
// ProofOfWork: computational proof of stake/work
|
||||
ProofOfWork float64 `json:"proofOfWork"`
|
||||
}
|
||||
|
||||
// ComputeTrustScore calculates a composite trust score from trust metrics.
|
||||
func ComputeTrustScore(t TrustMetrics) float64 {
|
||||
total := t.SuccessfulTransactions + t.FailedTransactions
|
||||
if total == 0 {
|
||||
// New peer with no history: moderate trust with age bonus
|
||||
ageBonus := math.Min(float64(t.AgeSeconds)/(86400*30), 0.2) // Up to 0.2 for 30 days
|
||||
return 0.5 + ageBonus
|
||||
}
|
||||
|
||||
// Base score from success rate
|
||||
successRate := float64(t.SuccessfulTransactions) / float64(total)
|
||||
|
||||
// Volume confidence (more transactions = more confident)
|
||||
volumeConfidence := 1 - 1/(1+float64(total)/10)
|
||||
|
||||
// Vouch/flag adjustment
|
||||
vouchBonus := math.Min(float64(t.VouchCount)*0.02, 0.15)
|
||||
flagPenalty := math.Min(float64(t.FlagCount)*0.05, 0.3)
|
||||
|
||||
// Recency bonus (recent success = better)
|
||||
recencyBonus := 0.0
|
||||
if !t.LastSuccessAt.IsZero() {
|
||||
hoursSince := time.Since(t.LastSuccessAt).Hours()
|
||||
recencyBonus = 0.1 * math.Exp(-hoursSince/168) // Decays over ~1 week
|
||||
}
|
||||
|
||||
// Proof of work bonus
|
||||
powBonus := math.Min(t.ProofOfWork*0.1, 0.1)
|
||||
|
||||
score := successRate*volumeConfidence + vouchBonus - flagPenalty + recencyBonus + powBonus
|
||||
return math.Max(0, math.Min(1, score))
|
||||
}
|
||||
Loading…
Add table
Reference in a new issue