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https://github.com/fosrl/pangolin.git
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Remove ping logic
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@@ -258,101 +258,13 @@ export const handleNewtRegisterMessage: MessageHandler = async (context) => {
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};
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};
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};
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};
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/**
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* Selects the most suitable exit node from a list of ping results.
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*
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* The selection algorithm follows these steps:
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*
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* 1. **Filter Invalid Nodes**: Excludes nodes with errors or zero weight.
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*
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* 2. **Sort by Latency**: Sorts valid nodes in ascending order of latency.
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*
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* 3. **Preferred Selection**:
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* - If the lowest-latency node has sufficient capacity (≥10% weight),
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* check if a previously connected node is also acceptable.
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* - The previously connected node is preferred if its latency is within
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* 30ms or 15% of the best node’s latency.
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*
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* 4. **Fallback to Next Best**:
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* - If the lowest-latency node is under capacity, find the next node
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* with acceptable capacity.
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*
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* 5. **Final Fallback**:
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* - If no nodes meet the capacity threshold, fall back to the node
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* with the highest weight (i.e., most available capacity).
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*
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*/
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function selectBestExitNode(
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function selectBestExitNode(
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pingResults: ExitNodePingResult[]
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pingResults: ExitNodePingResult[]
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): ExitNodePingResult | null {
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): ExitNodePingResult | null {
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const MIN_CAPACITY_THRESHOLD = 0.1;
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if (!pingResults || pingResults.length === 0) {
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const LATENCY_TOLERANCE_MS = 30;
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logger.warn("No ping results provided");
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const LATENCY_TOLERANCE_PERCENT = 0.15;
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// Filter out invalid nodes
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const validNodes = pingResults.filter((n) => !n.error && n.weight > 0);
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if (validNodes.length === 0) {
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logger.error("No valid exit nodes available");
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return null;
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return null;
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}
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}
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// Sort by latency (ascending)
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return pingResults[0];
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const sortedNodes = validNodes
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.slice()
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.sort((a, b) => a.latencyMs - b.latencyMs);
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const lowestLatencyNode = sortedNodes[0];
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logger.info(
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`Lowest latency node: ${lowestLatencyNode.exitNodeName} (${lowestLatencyNode.latencyMs} ms, weight=${lowestLatencyNode.weight.toFixed(2)})`
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);
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// If lowest latency node has enough capacity, check if previously connected node is acceptable
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if (lowestLatencyNode.weight >= MIN_CAPACITY_THRESHOLD) {
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const previouslyConnectedNode = sortedNodes.find(
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(n) =>
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n.wasPreviouslyConnected && n.weight >= MIN_CAPACITY_THRESHOLD
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);
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if (previouslyConnectedNode) {
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const latencyDiff =
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previouslyConnectedNode.latencyMs - lowestLatencyNode.latencyMs;
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const percentDiff = latencyDiff / lowestLatencyNode.latencyMs;
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if (
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latencyDiff <= LATENCY_TOLERANCE_MS ||
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percentDiff <= LATENCY_TOLERANCE_PERCENT
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) {
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logger.info(
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`Sticking with previously connected node: ${previouslyConnectedNode.exitNodeName} ` +
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`(${previouslyConnectedNode.latencyMs} ms), latency diff = ${latencyDiff.toFixed(1)}ms ` +
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`/ ${(percentDiff * 100).toFixed(1)}%.`
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);
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return previouslyConnectedNode;
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}
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}
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return lowestLatencyNode;
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}
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// Otherwise, find the next node (after the lowest) that has enough capacity
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for (let i = 1; i < sortedNodes.length; i++) {
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const node = sortedNodes[i];
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if (node.weight >= MIN_CAPACITY_THRESHOLD) {
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logger.info(
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`Lowest latency node under capacity. Using next best: ${node.exitNodeName} ` +
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`(${node.latencyMs} ms, weight=${node.weight.toFixed(2)})`
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);
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return node;
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}
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}
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// Fallback: pick the highest weight node
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const fallbackNode = validNodes.reduce((a, b) =>
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a.weight > b.weight ? a : b
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);
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logger.warn(
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`No nodes with ≥10% weight. Falling back to highest capacity node: ${fallbackNode.exitNodeName}`
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);
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return fallbackNode;
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}
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}
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