Improve training statistics, achievements and stable pace audio

tests/training_logic.test.js

@@ -134,7 +134,8 @@ test("driver statistics remain isolated and aggregate days and sessions", () =>
   assert.equal(stats.trainingDays, 2);
   assert.equal(stats.bestLapMs, 16500);
   assert.equal(stats.averageLapMs, 17167);
-  assert.equal(stats.controlledLapStreak, 2);
+  // A flow streak never carries over into another session or stint.
+  assert.equal(stats.controlledLapStreak, 1);
   assert.equal(stats.dailySummaries[0].laps, 1);
   assert.equal(stats.dailySummaries[1].laps, 2);
 });
@@ -193,6 +194,7 @@ test("split and pit statistics aggregate by personal profile and selected class"
   assert.equal(stats.splitCount, 2);
   assert.equal(stats.bestSplitMs, 7900);
   assert.equal(stats.averageSplitMs, 8000);
+  assert.equal(stats.latestSplitGainMs, 200);
   assert.equal(stats.pitStopCount, 2);
   assert.equal(stats.totalPitMs, 22000);
   assert.equal(stats.bestPitStopMs, 9500);
@@ -292,6 +294,9 @@ test("active practice stats include only the selected driver's current valid lap
     bestLapMs: 16_000,
     averageLapMs: 16_500,
     lastLapMs: 17_000,
+    controlZoneMinMs: 16_000,
+    controlZoneMaxMs: 17_280,
+    controlledLapStreak: 2,
   });
 });
 
@@ -391,6 +396,31 @@ test("a stint shorter than the target duration has no five-minute result", () =>
   assert.equal(getBestTrainingDurationResult(stints, 300_000), null);
 });
 
+test("training progress recognizes a clean five-minute stint and strong finish", () => {
+  const ledger = Array.from({ length: 16 }, (_, index) => ({
+    driverId: "driver_1",
+    sourceId: "transponder_1",
+    sessionId: "practice_1",
+    timestamp: (index + 1) * 20_000,
+    lapMs: 20_000,
+  }));
+  const state = { training: { ledger } };
+  const stats = buildDriverTrainingStats(state, "driver_1");
+  const analysis = buildTrainingStintAnalysis(state, "driver_1");
+
+  assert.equal(stats.controlZoneMinMs, 20_000);
+  assert.equal(stats.controlZoneMaxMs, 21_600);
+  assert.equal(stats.controlledLapStreak, 16);
+  assert.equal(stats.outlierLaps, 0);
+  assert.equal(stats.strongFinishStints, 1);
+  assert.equal(stats.cleanFiveMinuteStints, 1);
+  assert.equal(stats.achievements.find((item) => item.id === "strong_finish").unlocked, true);
+  assert.equal(stats.achievements.find((item) => item.id === "clean_five_minute").unlocked, true);
+  assert.equal(analysis.rows[0].strongFinish, true);
+  assert.equal(analysis.rows[0].fiveMinuteResult.lapCount, 15);
+  assert.equal(analysis.rows[0].fiveMinuteResult.totalMs, 300_000);
+});
+
 test("recommendations select baseline, consistency, and progression", () => {
   assert.equal(buildTrainingRecommendation({ totalLaps: 9 }).level, "baseline");
   assert.deepEqual(