340 lines
14 KiB
JavaScript
340 lines
14 KiB
JavaScript
import test from "node:test";
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import assert from "node:assert/strict";
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import {
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buildDriverActivePracticeStats,
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buildDriverTrainingStats,
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buildDriverTimingChannelStats,
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buildTrainingRecommendation,
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getBestConsecutiveTrainingLaps,
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getBestTrainingDurationResult,
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getDriverTrainingLaps,
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getNextTrainingMilestone,
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getTrainingGoalProgress,
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normalizeTrainingState,
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splitTrainingStints,
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syncTrainingLedger,
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} from "../src/training_logic.js";
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import { getDriverProfileGroups } from "../src/driver_profile_logic.js";
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function createUid() {
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let index = 0;
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return (prefix) => `${prefix}_${++index}`;
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}
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test("normalization removes invalid and duplicate training records", () => {
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const normalized = normalizeTrainingState({
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goals: [
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{ id: "goal_1", driverId: "driver_1", targetLaps: 500, title: " Bronze ", reward: " Badge " },
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{ id: "goal_invalid", driverId: "", targetLaps: 100 },
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],
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ledger: [
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{ id: "lap_1", sourceKey: "source_1", driverId: "driver_1", lapMs: 16000, timestamp: 1000 },
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{ id: "lap_duplicate", sourceKey: "source_1", driverId: "driver_1", lapMs: 17000, timestamp: 2000 },
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{ id: "lap_short", sourceKey: "source_2", driverId: "driver_1", lapMs: 500, timestamp: 3000 },
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{ id: "lap_anonymous", sourceKey: "source_3", driverId: "", lapMs: 18000, timestamp: 4000 },
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],
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shares: [
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{ driverId: "driver_1", token: "a".repeat(24), enabled: true },
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{ driverId: "driver_1", token: "b".repeat(24), enabled: true },
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{ driverId: "driver_2", token: "short", enabled: true },
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],
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}, { uid: createUid() });
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assert.equal(normalized.goals.length, 1);
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assert.equal(normalized.goals[0].title, "Bronze");
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assert.equal(normalized.goals[0].reward, "Badge");
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assert.deepEqual(normalized.ledger.map((lap) => lap.id), ["lap_1"]);
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assert.deepEqual(normalized.shares.map((share) => share.token), ["a".repeat(24)]);
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});
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test("ledger sync retains archived laps and rebuilds current session laps", () => {
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const training = {
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goals: [{ id: "goal_1", driverId: "driver_1", targetLaps: 100 }],
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shares: [{ driverId: "driver_1", token: "s".repeat(24), enabled: true }],
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ledger: [
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{ id: "archived", sourceKey: "old:1", sessionId: "old", driverId: "driver_1", lapMs: 19000, timestamp: 1000 },
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{ id: "stale", sourceKey: "live:old", sessionId: "live", driverId: "driver_1", lapMs: 30000, timestamp: 2000 },
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],
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};
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const state = {
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sessions: [{ id: "live", name: "Free Practice", eventId: "event_1" }],
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events: [{ id: "event_1", name: "Club practice" }],
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resultsBySession: {
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live: {
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passings: [
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{ driverId: "driver_1", competitorKey: "driver_1", lapMs: 16500, timestamp: 3000, validLap: true },
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{ driverId: "driver_1", competitorKey: "driver_1", lapMs: 9000, timestamp: 4000, validLap: false },
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{ driverId: "", competitorKey: "anonymous", lapMs: 17000, timestamp: 5000, validLap: true },
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{ driverId: "driver_1", competitorKey: "driver_1", lapMs: 500, timestamp: 6000, validLap: true },
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],
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},
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},
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};
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const synced = syncTrainingLedger(training, state, { uid: createUid() });
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assert.equal(synced.ledger.length, 2);
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assert.equal(synced.ledger.some((lap) => lap.id === "archived"), true);
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assert.equal(synced.ledger.some((lap) => lap.id === "stale"), false);
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const liveLap = synced.ledger.find((lap) => lap.sessionId === "live");
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assert.equal(liveLap.lapMs, 16500);
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assert.equal(liveLap.sessionName, "Free Practice");
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assert.equal(liveLap.eventName, "Club practice");
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assert.equal(synced.goals.length, 1);
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assert.equal(synced.shares.length, 1);
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});
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test("driver statistics remain isolated and aggregate days and sessions", () => {
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const firstDay = new Date(2026, 0, 10, 12, 0, 0).getTime();
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const secondDay = new Date(2026, 0, 11, 12, 0, 0).getTime();
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const state = {
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training: {
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ledger: [
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{ driverId: "driver_1", sessionId: "practice_1", timestamp: firstDay, lapMs: 18000 },
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{ driverId: "driver_1", sessionId: "practice_1", timestamp: firstDay + 20000, lapMs: 16500 },
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{ driverId: "driver_1", sessionId: "practice_2", timestamp: secondDay, lapMs: 17000 },
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{ driverId: "driver_2", sessionId: "practice_2", timestamp: secondDay + 20000, lapMs: 12000 },
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],
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},
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};
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assert.equal(getDriverTrainingLaps(state, "driver_1").length, 3);
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const stats = buildDriverTrainingStats(state, "driver_1");
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assert.equal(stats.totalLaps, 3);
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assert.equal(stats.totalSessions, 2);
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assert.equal(stats.trainingDays, 2);
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assert.equal(stats.bestLapMs, 16500);
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assert.equal(stats.averageLapMs, 17167);
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assert.equal(stats.controlledLapStreak, 2);
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assert.equal(stats.dailySummaries[0].laps, 1);
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assert.equal(stats.dailySummaries[1].laps, 2);
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});
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test("split and pit statistics aggregate by personal profile and selected class", () => {
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const state = {
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drivers: [
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{ id: "driver_2wd_a", name: "Driver", profileId: "profile_1", classId: "class_2wd" },
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{ id: "driver_2wd_b", name: "Driver", profileId: "profile_1", classId: "class_2wd" },
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{ id: "driver_4wd", name: "Driver", profileId: "profile_1", classId: "class_4wd" },
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],
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sessions: [
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{ id: "session_1", name: "Practice", eventId: "event_1" },
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{ id: "session_2", name: "Endurance", eventId: "event_1" },
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],
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events: [{ id: "event_1", name: "Club day" }],
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resultsBySession: {
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session_1: {
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splits: [
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{ driverId: "driver_2wd_a", splitMs: 8100, timestamp: 1000 },
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{ driverId: "driver_2wd_b", splitMs: 7900, timestamp: 2000 },
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{ driverId: "driver_4wd", splitMs: 6500, timestamp: 3000 },
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],
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pitStops: [],
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},
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session_2: {
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splits: [],
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pitStops: [
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{ driverId: "driver_2wd_a", pitStopMs: 12500, enteredAt: 4000 },
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{ driverId: "driver_2wd_b", pitStopMs: 9500, enteredAt: 5000 },
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{ driverId: "driver_4wd", pitStopMs: 7000, enteredAt: 6000 },
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],
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},
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},
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};
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const stats = buildDriverTimingChannelStats(state, "profile_1", "class_2wd");
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assert.equal(stats.splitCount, 2);
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assert.equal(stats.bestSplitMs, 7900);
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assert.equal(stats.averageSplitMs, 8000);
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assert.equal(stats.pitStopCount, 2);
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assert.equal(stats.totalPitMs, 22000);
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assert.equal(stats.bestPitStopMs, 9500);
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assert.equal(stats.recentPitStops[0].sessionName, "Endurance");
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});
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test("one driver profile combines transponders within a class but keeps 2WD and 4WD separate", () => {
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const state = {
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drivers: [
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{ id: "driver_2wd_a", name: "Same Driver", profileId: "profile_same", classId: "class_2wd" },
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{ id: "driver_2wd_b", name: "Same Driver", profileId: "profile_same", classId: "class_2wd" },
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{ id: "driver_4wd", name: "Same Driver", profileId: "profile_same", classId: "class_4wd" },
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],
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training: {
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ledger: [
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{ driverId: "driver_2wd_a", sessionId: "practice", timestamp: 10_000, lapMs: 18_000 },
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{ driverId: "driver_2wd_b", sessionId: "practice", timestamp: 30_000, lapMs: 17_500 },
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{ driverId: "driver_4wd", sessionId: "practice", timestamp: 50_000, lapMs: 15_000 },
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],
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},
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};
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const twoWheelDrive = buildDriverTrainingStats(state, "profile_same", "class_2wd");
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const fourWheelDrive = buildDriverTrainingStats(state, "profile_same", "class_4wd");
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assert.equal(twoWheelDrive.totalLaps, 2);
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assert.equal(twoWheelDrive.bestLapMs, 17_500);
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assert.equal(fourWheelDrive.totalLaps, 1);
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assert.equal(fourWheelDrive.bestLapMs, 15_000);
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});
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test("legacy same-name entries share a profile while an explicit profile can remain separate", () => {
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const groups = getDriverProfileGroups({
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drivers: [
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{ id: "legacy_2wd", name: "Test Driver", classId: "2wd", club: "JMK RB", country: "Sverige" },
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{ id: "legacy_4wd", name: " test driver ", classId: "4wd" },
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{ id: "separate", name: "Test Driver", profileId: "profile_other", classId: "2wd" },
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],
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});
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assert.equal(groups.length, 2);
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assert.equal(groups.find((group) => group.id.startsWith("legacy:"))?.drivers.length, 2);
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assert.equal(groups.find((group) => group.id.startsWith("legacy:"))?.club, "JMK RB");
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assert.equal(groups.find((group) => group.id.startsWith("legacy:"))?.country, "Sverige");
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assert.equal(groups.find((group) => group.id === "profile_other")?.drivers.length, 1);
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});
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test("active practice profile statistics include only linked entries in the selected class", () => {
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const state = {
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activeSessionId: "practice",
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drivers: [
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{ id: "two_a", name: "Driver", profileId: "profile", classId: "2wd" },
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{ id: "two_b", name: "Driver", profileId: "profile", classId: "2wd" },
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{ id: "four", name: "Driver", profileId: "profile", classId: "4wd" },
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],
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sessions: [{ id: "practice", name: "Open", type: "open_practice", status: "running", startedAt: 1_000 }],
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resultsBySession: {
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practice: {
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passings: [
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{ driverId: "two_a", timestamp: 20_000, lapMs: 18_000, validLap: true },
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{ driverId: "two_b", timestamp: 39_000, lapMs: 17_500, validLap: true },
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{ driverId: "four", timestamp: 55_000, lapMs: 15_000, validLap: true },
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],
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},
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},
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};
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const stats = buildDriverActivePracticeStats(state, "profile", 60_000, "2wd");
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assert.equal(stats.laps, 2);
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assert.equal(stats.bestLapMs, 17_500);
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});
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test("active practice stats include only the selected driver's current valid laps", () => {
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const startedAt = 10_000;
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const state = {
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activeSessionId: "practice_1",
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sessions: [{ id: "practice_1", name: "Wednesday Open Practice", type: "open_practice", status: "running", startedAt }],
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resultsBySession: {
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practice_1: {
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passings: [
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{ driverId: "driver_1", timestamp: 9_000, lapMs: 15_000, validLap: true },
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{ driverId: "driver_1", timestamp: 20_000, lapMs: 16_000, validLap: true },
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{ driverId: "driver_1", timestamp: 37_000, lapMs: 17_000, validLap: true },
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{ driverId: "driver_1", timestamp: 45_000, lapMs: 8_000, validLap: false },
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{ driverId: "driver_2", timestamp: 54_000, lapMs: 16_500, validLap: true },
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],
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},
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},
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};
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assert.deepEqual(buildDriverActivePracticeStats(state, "driver_1", 70_000), {
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sessionId: "practice_1",
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sessionName: "Wednesday Open Practice",
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startedAt,
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elapsedMs: 60_000,
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laps: 2,
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bestLapMs: 16_000,
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averageLapMs: 16_500,
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lastLapMs: 17_000,
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});
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});
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test("active practice stats ignore races and stopped practice sessions", () => {
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const base = { activeSessionId: "session_1", resultsBySession: {} };
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assert.equal(buildDriverActivePracticeStats({ ...base, sessions: [{ id: "session_1", type: "final", status: "running" }] }, "driver_1"), null);
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assert.equal(buildDriverActivePracticeStats({ ...base, sessions: [{ id: "session_1", type: "free_practice", status: "finished" }] }, "driver_1"), null);
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});
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test("training stints split after a break over two minutes or a session change", () => {
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const laps = [
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{ sessionId: "practice_1", timestamp: 18_000, lapMs: 18_000 },
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{ sessionId: "practice_1", timestamp: 36_000, lapMs: 18_000 },
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{ sessionId: "practice_1", timestamp: 200_001, lapMs: 164_001 },
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{ sessionId: "practice_2", timestamp: 218_001, lapMs: 18_000 },
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];
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const stints = splitTrainingStints(laps);
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assert.equal(stints.length, 3);
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assert.equal(stints[0].laps.length, 2);
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assert.equal(stints[1].laps.length, 1);
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assert.equal(stints[1].laps[0].excludedFromPace, true);
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assert.equal(stints[2].sessionId, "practice_2");
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});
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test("best consecutive laps never cross a stint boundary", () => {
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const stints = splitTrainingStints([
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{ sessionId: "practice_1", timestamp: 18_000, lapMs: 18_000 },
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{ sessionId: "practice_1", timestamp: 35_000, lapMs: 17_000 },
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{ sessionId: "practice_1", timestamp: 51_000, lapMs: 16_000 },
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{ sessionId: "practice_1", timestamp: 66_000, lapMs: 15_000 },
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{ sessionId: "practice_1", timestamp: 201_001, lapMs: 15_000 },
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]);
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const best = getBestConsecutiveTrainingLaps(stints, 3);
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assert.equal(best.totalMs, 48_000);
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assert.equal(best.averageLapMs, 16_000);
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assert.equal(best.startedAt, 18_000);
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});
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test("best five-minute result counts a final lap started before the cutoff and reports its pace", () => {
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const laps = Array.from({ length: 16 }, (_, index) => ({
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sessionId: "practice_1",
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timestamp: (index + 1) * 18_000,
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lapMs: 18_000,
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}));
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laps.push({ sessionId: "practice_1", timestamp: 314_123, lapMs: 26_123 });
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const result = getBestTrainingDurationResult(splitTrainingStints(laps), 300_000);
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assert.equal(result.lapCount, 17);
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assert.equal(result.totalMs, 314_123);
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assert.equal(result.averageLapMs, 18_478);
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assert.equal(result.startedAt, 0);
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assert.equal(result.endedAt, 314_123);
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});
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test("a stint shorter than the target duration has no five-minute result", () => {
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const stints = splitTrainingStints([
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{ sessionId: "practice_1", timestamp: 18_000, lapMs: 18_000 },
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{ sessionId: "practice_1", timestamp: 36_000, lapMs: 18_000 },
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]);
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assert.equal(getBestTrainingDurationResult(stints, 300_000), null);
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});
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test("recommendations select baseline, consistency, and progression", () => {
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assert.equal(buildTrainingRecommendation({ totalLaps: 9 }).level, "baseline");
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assert.deepEqual(
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buildTrainingRecommendation({ totalLaps: 30, recentLapCount: 30, consistencySpreadPct: 9, bestLapMs: 16000 }),
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{
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level: "consistency",
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titleKey: "training.plan_consistency_title",
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bodyKey: "training.plan_consistency_body",
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targetLapMs: 17280,
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}
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);
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assert.equal(buildTrainingRecommendation({ totalLaps: 30, recentLapCount: 30, consistencySpreadPct: 4, bestLapMs: 16000 }).level, "progression");
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});
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test("goal and automatic milestone progress are bounded", () => {
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assert.deepEqual(getTrainingGoalProgress({ targetLaps: 500 }, { totalLaps: 125 }), {
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currentLaps: 125,
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targetLaps: 500,
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remainingLaps: 375,
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percent: 25,
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reached: false,
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});
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assert.equal(getTrainingGoalProgress({ targetLaps: 100 }, { totalLaps: 150 }).percent, 100);
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assert.equal(getTrainingGoalProgress({ targetLaps: 100 }, { totalLaps: 150 }).reached, true);
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assert.equal(getNextTrainingMilestone({ totalLaps: 250 }).targetLaps, 500);
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assert.equal(getNextTrainingMilestone({ totalLaps: 5200 }).targetLaps, 6000);
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});
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