förbättreing tränings

tests/public_training_profile.test.js

@@ -88,8 +88,8 @@ test("public profile contains only the selected driver's sanitized aggregates",
   assert.equal(profile.profile.name, "Driver One");
   assert.equal(profile.profile.brand, "Associated 2WD");
   assert.equal(profile.profile.className, "2WD");
-  assert.equal(profile.profile.clubRank, 1);
-  assert.equal(profile.profile.rankedDrivers, 2);
+  assert.equal("clubRank" in profile.profile, false);
+  assert.equal("rankedDrivers" in profile.profile, false);
   assert.equal(profile.branding.clubName, "Test Club");
   assert.equal(profile.branding.logoDataUrl, "");
   assert.equal(profile.stats.totalLaps, 4);

tests/training_logic.test.js

@@ -5,6 +5,7 @@ import {
   buildDriverActivePracticeStats,
   buildDriverTrainingStats,
   buildDriverTimingChannelStats,
+  buildTrainingAchievements,
   buildTrainingRecommendation,
   getBestConsecutiveTrainingLaps,
   getBestTrainingDurationResult,
@@ -337,3 +338,36 @@ test("goal and automatic milestone progress are bounded", () => {
   assert.equal(getNextTrainingMilestone({ totalLaps: 250 }).targetLaps, 500);
   assert.equal(getNextTrainingMilestone({ totalLaps: 5200 }).targetLaps, 6000);
 });
+
+test("development trend compares the latest 30 laps with the preceding 30", () => {
+  const start = new Date(2026, 0, 10, 12, 0, 0).getTime();
+  const ledger = Array.from({ length: 60 }, (_, index) => ({
+    driverId: "driver_1",
+    sessionId: "practice_1",
+    timestamp: start + ((index + 1) * 18_000),
+    lapMs: index < 30 ? 18_000 : 17_000,
+  }));
+  const stats = buildDriverTrainingStats({ training: { ledger } }, "driver_1");
+
+  assert.equal(stats.trendSampleReady, true);
+  assert.equal(stats.previousRecentAverageMs, 18_000);
+  assert.equal(stats.recentAverageMs, 17_000);
+  assert.equal(stats.averageTrendMs, 1_000);
+  assert.equal(stats.consistencyTrendPct, 0);
+});
+
+test("automatic achievements expose unlocked and upcoming personal goals", () => {
+  const achievements = buildTrainingAchievements({
+    totalSessions: 2,
+    totalLaps: 520,
+    trainingDays: 4,
+    controlledLapStreak: 7,
+    bestFiveMinuteResult: { lapCount: 17 },
+  });
+
+  assert.equal(achievements.find((item) => item.id === "first_session").unlocked, true);
+  assert.equal(achievements.find((item) => item.id === "laps_500").unlocked, true);
+  assert.equal(achievements.find((item) => item.id === "laps_1000").percent, 52);
+  assert.equal(achievements.find((item) => item.id === "days_10").unlocked, false);
+  assert.equal(achievements.find((item) => item.id === "five_minute").unlocked, true);
+});

tests/training_views.test.js

@@ -3,7 +3,7 @@ import assert from "node:assert/strict";
 
 import { getDriverProfileGroups } from "../src/driver_profile_logic.js";
 import { buildDriverTrainingStats } from "../src/training_logic.js";
-import { buildTrainingOverviewRows, resolveTrainingProfile } from "../src/training_views.js";
+import { buildTrainingOverviewRows, buildTrainingProgressFeed, resolveTrainingProfile } from "../src/training_views.js";
 
 test("training opens without implicitly selecting the first driver", () => {
   const profiles = [{ id: "profile_1", driverIds: ["driver_1"] }];
@@ -33,3 +33,15 @@ test("training overview keeps each driver class on a separate statistics row", (
   assert.equal(rows.find((row) => row.classId === "2wd").stats.totalLaps, 2);
   assert.equal(rows.find((row) => row.classId === "4wd").stats.totalLaps, 1);
 });
+
+test("training progress feed highlights personal development instead of ranking drivers", () => {
+  const rows = [
+    { profile: { id: "p1" }, driver: { name: "Alex" }, classId: "2wd", className: "2WD", stats: { totalLaps: 80, lastLapAt: 200, personalBestGainMs: 250 } },
+    { profile: { id: "p2" }, driver: { name: "Kim" }, classId: "4wd", className: "4WD", stats: { totalLaps: 120, lastLapAt: 100, trendSampleReady: true, averageTrendMs: 400 } },
+  ];
+  const feed = buildTrainingProgressFeed(rows);
+
+  assert.deepEqual(feed.map((entry) => entry.profile.id), ["p1", "p2"]);
+  assert.equal(feed[0].kind, "personal_best");
+  assert.equal(feed[1].kind, "average_gain");
+});