Improve training statistics, achievements and stable pace audio

tests/decoder_runtime.test.js

@@ -60,6 +60,18 @@ function createHarness(options = {}) {
   return { state, session, passing, overlayEvents, audioEvents, getSaveCount: () => saveCount };
 }
 
+test("five controlled practice laps trigger one stable-pace voice cue", () => {
+  const harness = createHarness({ sessionType: "open_practice" });
+  for (let lap = 1; lap <= 5; lap += 1) harness.passing(1_000 + lap * 20_000, "main");
+  assert.equal(harness.audioEvents.filter((event) => event === "training_stable_pace").length, 1);
+});
+
+test("stable-pace training cue is never emitted during a race", () => {
+  const harness = createHarness({ sessionType: "team_race" });
+  for (let lap = 1; lap <= 5; lap += 1) harness.passing(1_000 + lap * 20_000, "main");
+  assert.equal(harness.audioEvents.includes("training_stable_pace"), false);
+});
+
 test("split decoder records intermediate time without changing main lap state", () => {
   const harness = createHarness();
   assert.equal(harness.passing(17_000, "main"), true);

tests/public_training_profile.test.js

@@ -105,6 +105,7 @@ test("public profile contains only the selected driver's sanitized aggregates",
     splitCount: 2,
     bestSplitMs: 7000,
     averageSplitMs: 7100,
+    latestSplitGainMs: 200,
     pitStopCount: 1,
     totalPitMs: 12500,
     bestPitStopMs: 12500,

tests/race_audio.test.js

@@ -88,7 +88,7 @@ test("event catalog covers every supported race-audio event", () => {
   const keys = new Set(RACE_AUDIO_EVENT_DEFINITIONS.map((item) => item.key));
   [
     "grid_open", "grid_closed", "race_1_minute", "race_30_seconds", "race_10_seconds", "drivers_ready", "start_sequence", "start_tone", "false_start", "restart_race",
-    "transponder_pass", "lap_completed", "personal_best", "fastest_lap", "track_record", "new_leader", "position_gain", "position_loss", "final_lap", "one_minute_remaining", "thirty_seconds_remaining", "ten_seconds_remaining", "time_expired", "race_finished",
+    "transponder_pass", "lap_completed", "personal_best", "fastest_lap", "track_record", "training_stable_pace", "new_leader", "position_gain", "position_loss", "final_lap", "one_minute_remaining", "thirty_seconds_remaining", "ten_seconds_remaining", "time_expired", "race_finished",
     "track_call", "track_clear", "yellow_flag", "red_flag", "race_paused", "race_resumed", "marshal_warning", "marshal_required", "penalty", "stop_and_go", "drive_through", "disqualified",
     "pit_lane_open", "pit_lane_closed", "entering_pits", "leaving_pits", "pit_speed_warning",
     "qualifying_start", "qualifying_remaining", "qualifying_finished", "provisional_pole", "pole_position",

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(