Add per-driver live stats for timed practice sessions

server.js

@@ -284,7 +284,9 @@ app.get(["/public-overlay", "/public-overlay/:mode"], (req, res) => {
 app.get("/public-training/api/:shareToken", (req, res) => {
   try {
     const stored = readStoredAppState();
-    const profile = stored ? buildPublicTrainingProfile(stored.state, String(req.params.shareToken || ""), stored.updatedAt) : null;
+    const sinceTimestamp = normalizePublicTrainingSince(req.query.since, req.query.startedAgoMs);
+    const windowMs = normalizePublicTrainingWindow(req.query.windowMs);
+    const profile = stored ? buildPublicTrainingProfile(stored.state, String(req.params.shareToken || ""), stored.updatedAt, sinceTimestamp, windowMs) : null;
     if (!profile) {
       res.status(404).json({ error: "Profile not found" });
       return;
@@ -384,7 +386,7 @@ function hasPublicTrainingShare(state, shareToken) {
   return Boolean(findPublicTrainingShare(state, shareToken));
 }
 
-function buildPublicTrainingProfile(state, shareToken, updatedAt) {
+function buildPublicTrainingProfile(state, shareToken, updatedAt, sinceTimestamp = 0, windowMs = 0) {
   const share = findPublicTrainingShare(state, shareToken);
   if (!share) return null;
   const driverId = String(share.driverId || "");
@@ -410,6 +412,9 @@ function buildPublicTrainingProfile(state, shareToken, updatedAt) {
   const rankedTotals = getRankedTrainingTotals(ledger, new Set(drivers.map((item) => String(item?.id || "")).filter(Boolean)));
   const rankIndex = rankedTotals.findIndex(([id]) => id === driverId);
   const settings = state?.settings && typeof state.settings === "object" ? state.settings : {};
+  const currentSession = sinceTimestamp
+    ? buildPublicTrainingWindowStats(driverLaps.filter((lap) => lap.timestamp >= sinceTimestamp && (!windowMs || lap.timestamp <= sinceTimestamp + windowMs)))
+    : null;
 
   return {
     updatedAt: String(updatedAt || ""),
@@ -429,6 +434,33 @@ function buildPublicTrainingProfile(state, shareToken, updatedAt) {
     nextMilestone: getPublicTrainingMilestone(stats.totalLaps),
     recommendation: getPublicTrainingRecommendation(stats),
     goals,
+    currentSession,
+  };
+}
+
+function normalizePublicTrainingSince(value, startedAgoValue) {
+  const now = Date.now();
+  if (startedAgoValue !== undefined) {
+    const startedAgoMs = Math.round(Number(startedAgoValue));
+    if (Number.isFinite(startedAgoMs) && startedAgoMs >= 0 && startedAgoMs <= 24 * 60 * 60 * 1000) {
+      return now - startedAgoMs;
+    }
+  }
+  const timestamp = Math.round(Number(value || 0) || 0);
+  return timestamp >= now - 24 * 60 * 60 * 1000 && timestamp <= now + 60 * 1000 ? timestamp : 0;
+}
+
+function normalizePublicTrainingWindow(value) {
+  const windowMs = Math.round(Number(value || 0) || 0);
+  return Math.min(24 * 60 * 60 * 1000, Math.max(0, windowMs));
+}
+
+function buildPublicTrainingWindowStats(laps) {
+  const lapTimes = laps.map((lap) => Number(lap.lapMs || 0)).filter((lapMs) => lapMs > 500);
+  return {
+    laps: lapTimes.length,
+    bestLapMs: lapTimes.length ? Math.min(...lapTimes) : 0,
+    averageLapMs: lapTimes.length ? Math.round(lapTimes.reduce((sum, lapMs) => sum + lapMs, 0) / lapTimes.length) : 0,
   };
 }