323 lines
14 KiB
JavaScript
323 lines
14 KiB
JavaScript
// Balance simulation: seeded combat simulation to validate monster/zone balance.
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// Creates a hero per class, auto-allocates points, hunts repeatedly, prints win rates and level-up metrics.
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// Usage: node scripts/sim-balance.js
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const { mulberry32, rngInt } = require('../src/utils/rng');
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const { calcDerived } = require('../src/game/stats');
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const { resolveCombat } = require('../src/game/combat');
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const { calculateRewards, rollLoot } = require('../src/game/rewards');
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const { applyXpGain, xpToNext } = require('../src/game/leveling');
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const { getClass, getBaseStats, CLASS_KEYS } = require('../src/game/classes');
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const { getEquipmentBonuses } = require('../src/game/equipment');
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// ─── Seeded RNG ────────────────────────────────────────────────────────────
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const SEED = 42;
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// ─── Zone / monster definitions (mirrors DB) ───────────────────────────────
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const ZONES = {
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meadows: { slug: 'whispering-meadows', minLevel: 1, energyCost: 5, monsters: [
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{ name: 'Giant Rat', level: 1, hp: 55, attack: 15, defense: 5, speed: 10, xp: 28, goldMin: 4, goldMax: 9 },
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{ name: 'Meadow Wolf', level: 2, hp: 85, attack: 22, defense: 9, speed: 14, xp: 40, goldMin: 6, goldMax: 14 },
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{ name: 'Goblin Scrapper', level: 3, hp: 130, attack: 28, defense: 12, speed: 10, xp: 60, goldMin: 10, goldMax: 22 },
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]},
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forest: { slug: 'gloomroot-forest', minLevel: 5, energyCost: 8, monsters: [
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{ name: 'Webspinner', level: 5, hp: 110, attack: 42, defense: 26, speed: 13, xp: 56, goldMin: 14, goldMax: 28 },
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{ name: 'Bandit Cutthroat', level: 6, hp: 155, attack: 48, defense: 30, speed: 12, xp: 80, goldMin: 20, goldMax: 40 },
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{ name: 'Mossback Treant', level: 8, hp: 240, attack: 54, defense: 38, speed: 6, xp: 108, goldMin: 26, goldMax: 52 },
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]},
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crags: { slug: 'ashfang-crag', minLevel: 10, energyCost: 12, monsters: [
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{ name: 'Ember Imp', level: 10, hp: 200, attack: 44, defense: 22, speed: 18, xp: 170, goldMin: 32, goldMax: 65 },
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{ name: 'Stone Golem', level: 12, hp: 420, attack: 50, defense: 52, speed: 5, xp: 260, goldMin: 48, goldMax: 90 },
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{ name: 'Ashfang Drake', level: 14, hp: 480, attack: 62, defense: 38, speed: 16, xp: 400, goldMin: 72, goldMax: 145 },
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]},
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};
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// Monster weights per zone
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const MONSTER_WEIGHTS = { meadows: [30, 20, 15], forest: [25, 20, 10], crags: [25, 10, 5] };
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// ─── Simulation helpers ────────────────────────────────────────────────────
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function pickMonster(zoneKey, rng) {
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const zone = ZONES[zoneKey];
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const weights = MONSTER_WEIGHTS[zoneKey];
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const total = weights.reduce((a, b) => a + b, 0);
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let r = rng() * total;
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for (let i = 0; i < zone.monsters.length; i++) {
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r -= weights[i];
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if (r < 0) return zone.monsters[i];
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}
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return zone.monsters[zone.monsters.length - 1];
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}
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function simulateHunt(hero, monster, rng) {
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const equipBonuses = { bonus_str: 0, bonus_agi: 0, bonus_int: 0, bonus_vit: 0, bonus_attack: 0, bonus_defense: 0 };
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const fight = resolveCombat({
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class: hero.class, level: hero.level, hpCurrent: hero.hp,
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str: hero.str, agi: hero.agi, int: hero.int, vit: hero.vit,
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...equipBonuses,
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}, monster, rng);
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let xpGained = 0, goldGained = 0;
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if (fight.winner === 'hero') {
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const rewards = calculateRewards(monster.xp, monster.goldMin, monster.goldMax, monster.level, hero.level, rng);
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xpGained = rewards.xp;
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goldGained = rewards.gold;
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}
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return { winner: fight.winner, hpRemaining: fight.hpRemaining, xpGained, goldGained };
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}
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// ─── Run simulation for one class ──────────────────────────────────────────
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function simulateClass(className) {
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const cls = getClass(className);
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const base = getBaseStats(className);
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const rng = mulberry32(SEED + CLASS_KEYS.indexOf(className));
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// Hero state
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let hero = {
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class: className,
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level: 1,
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xp: 0,
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hp: 0, // set below after deriving maxHp
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maxHp: 0,
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str: base.str, agi: base.agi, int: base.int, vit: base.vit,
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gold: 50,
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};
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const derived = calcDerived({ str: hero.str, agi: hero.agi, int: hero.int, vit: hero.vit }, hero.level, className);
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hero.hp = derived.maxHp;
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hero.maxHp = derived.maxHp;
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// Track stats
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const results = { meadows: { wins: 0, total: 0 }, forest: { wins: 0, total: 0 }, crags: { wins: 0, total: 0 } };
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let totalHunts = 0;
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let consecutiveDefeats = 0;
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const MAX_DEFEATS = 50; // prevent infinite loops
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// Phase 1: Level 1 → 5 in Meadows
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while (hero.level < 5 && consecutiveDefeats < MAX_DEFEATS) {
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const monster = pickMonster('meadows', rng);
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const result = simulateHunt(hero, monster, rng);
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results.meadows.total++;
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if (result.winner === 'hero') {
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results.meadows.wins++;
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consecutiveDefeats = 0;
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const xpResult = applyXpGain(hero.level, hero.xp, 0, result.xpGained);
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if (xpResult.level > hero.level) {
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const newDerived = calcDerived({ str: hero.str, agi: hero.agi, int: hero.int, vit: hero.vit }, xpResult.level, className);
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hero.hp = newDerived.maxHp;
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hero.maxHp = newDerived.maxHp;
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}
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hero.xp = xpResult.xp;
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hero.level = xpResult.level;
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hero.gold += result.goldGained;
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// Recover some HP after victory (10% of maxHp)
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hero.hp = Math.min(hero.maxHp, hero.hp + Math.floor(hero.maxHp * 0.1));
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} else {
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hero.hp = 1;
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hero.gold = Math.max(0, hero.gold - Math.floor(hero.gold * 0.1));
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consecutiveDefeats++;
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}
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totalHunts++;
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}
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const huntsL1to5 = totalHunts;
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// Phase 2: Level 5 → 10 in Forest
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let huntsAtL5 = totalHunts;
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while (hero.level < 10 && consecutiveDefeats < MAX_DEFEATS) {
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const monster = pickMonster('forest', rng);
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const result = simulateHunt(hero, monster, rng);
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results.forest.total++;
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if (result.winner === 'hero') {
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results.forest.wins++;
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consecutiveDefeats = 0;
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const xpResult = applyXpGain(hero.level, hero.xp, 0, result.xpGained);
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if (xpResult.level > hero.level) {
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const newDerived = calcDerived({ str: hero.str, agi: hero.agi, int: hero.int, vit: hero.vit }, xpResult.level, className);
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hero.hp = newDerived.maxHp;
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hero.maxHp = newDerived.maxHp;
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}
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hero.xp = xpResult.xp;
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hero.level = xpResult.level;
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hero.gold += result.goldGained;
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hero.hp = Math.min(hero.maxHp, hero.hp + Math.floor(hero.maxHp * 0.1));
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} else {
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hero.hp = 1;
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hero.gold = Math.max(0, hero.gold - Math.floor(hero.gold * 0.1));
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consecutiveDefeats++;
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}
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totalHunts++;
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}
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const huntsL1to10 = totalHunts;
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// Phase 3: Level 10+ in Crags (20 hunts)
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for (let i = 0; i < 20; i++) {
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const monster = pickMonster('crags', rng);
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const result = simulateHunt(hero, monster, rng);
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results.crags.total++;
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if (result.winner === 'hero') {
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results.crags.wins++;
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consecutiveDefeats = 0;
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const xpResult = applyXpGain(hero.level, hero.xp, 0, result.xpGained);
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if (xpResult.level > hero.level) {
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const newDerived = calcDerived({ str: hero.str, agi: hero.agi, int: hero.int, vit: hero.vit }, xpResult.level, className);
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hero.hp = newDerived.maxHp;
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hero.maxHp = newDerived.maxHp;
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}
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hero.xp = xpResult.xp;
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hero.level = xpResult.level;
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hero.gold += result.goldGained;
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hero.hp = Math.min(hero.maxHp, hero.hp + Math.floor(hero.maxHp * 0.1));
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} else {
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hero.hp = 1;
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hero.gold = Math.max(0, hero.gold - Math.floor(hero.gold * 0.1));
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consecutiveDefeats++;
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}
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}
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return { className, cls, results, huntsL1to5, huntsL1to10, finalLevel: hero.level, finalGold: hero.gold };
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}
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// ─── Level-1 zone win rates ────────────────────────────────────────────────
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function simulateLevel1WinRate(zoneKey) {
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const rng = mulberry32(SEED + 999);
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let wins = 0;
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const rounds = 100;
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for (let r = 0; r < rounds; r++) {
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const classRng = mulberry32(SEED + r * 100);
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for (const className of CLASS_KEYS) {
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const cls = getClass(className);
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const base = getBaseStats(className);
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const derived = calcDerived({ str: base.str, agi: base.agi, int: base.int, vit: base.vit }, 1, className);
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const monster = pickMonster(zoneKey, classRng);
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const result = simulateHunt({
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class: className, level: 1, hp: derived.maxHp, maxHp: derived.maxHp,
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str: base.str, agi: base.agi, int: base.int, vit: base.vit,
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}, monster, classRng);
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if (result.winner === 'hero') wins++;
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}
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}
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return wins / (rounds * CLASS_KEYS.length) * 100;
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}
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// ─── Level-5 Forest win rate ───────────────────────────────────────────────
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function simulateLevel5ForestWinRate() {
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const rng = mulberry32(SEED + 888);
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let wins = 0;
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const rounds = 100;
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for (let r = 0; r < rounds; r++) {
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for (const className of CLASS_KEYS) {
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const cls = getClass(className);
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const base = getBaseStats(className);
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// Auto-allocate 15 points to primary stat
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const primary = cls.primary;
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const stats = { ...base };
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stats[primary] += 15;
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const derived = calcDerived(stats, 5, className);
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const monster = pickMonster('forest', rng);
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const result = simulateHunt({
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class: className, level: 5, hp: derived.maxHp, maxHp: derived.maxHp,
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str: stats.str, agi: stats.agi, int: stats.int, vit: stats.vit,
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}, monster, rng);
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if (result.winner === 'hero') wins++;
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}
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}
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return wins / (rounds * CLASS_KEYS.length) * 100;
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}
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// ─── Main ──────────────────────────────────────────────────────────────────
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function pct(n) {
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return `${Math.round(n * 100) / 100}%`;
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}
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function main() {
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console.log('='.repeat(80));
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console.log('Emberfall Balance Simulation (seed=' + SEED + ')');
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console.log('='.repeat(80));
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// Level-1 win rates
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const l1Meadows = simulateLevel1WinRate('meadows');
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const l1Crags = simulateLevel1WinRate('crags');
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console.log('\n--- Level-1 Win Rates ---');
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console.log(` Meadows: ${pct(l1Meadows)} (target: 70–90%)`);
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console.log(` Crags: ${pct(l1Crags)} (target: ≤15%)`);
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// Level-5 Forest win rate
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const l5Forest = simulateLevel5ForestWinRate();
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console.log(` Forest L5: ${pct(l5Forest)} (target: 50–75%)`);
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// Per-class progression
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console.log('\n--- Per-Class Progression ---');
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console.log('Class Hunts L1→5 Hunts L1→10 Crags Win% Final Lv Gold');
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console.log('-'.repeat(70));
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const targets = {
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l1Meadows: [0.70, 0.90],
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l1Crags: [0, 0.15],
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l5Forest: [0.50, 0.75],
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l1to5Hunts: [40, 70],
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l1to10Hunts: [150, 300],
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};
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let allMet = true;
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const classResults = [];
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for (const className of CLASS_KEYS) {
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const sim = simulateClass(className);
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classResults.push(sim);
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const meadowsRate = sim.results.meadows.total > 0 ? sim.results.meadows.wins / sim.results.meadows.total : 0;
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const cragsRate = pct(sim.results.crags.wins / Math.max(1, sim.results.crags.total));
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console.log(className + ' L1->5: ' + String(sim.huntsL1to5).padStart(8) + ' L1->10: ' + String(sim.huntsL1to10).padStart(8) + ' Crags: ' + cragsRate.padStart(9) + ' Lv' + String(sim.finalLevel).padStart(6) + ' ' + String(sim.finalGold).padStart(6) + 'g');
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// Check L1→5 hunts (use the first class's value as representative)
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}
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// Use the average of all classes for progression metrics
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const avgL1to5 = Math.round(classResults.reduce((s, c) => s + c.huntsL1to5, 0) / classResults.length);
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const avgL1to10 = Math.round(classResults.reduce((s, c) => s + c.huntsL1to10, 0) / classResults.length);
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console.log('\n--- Aggregate Targets ---');
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console.log(` L1→5 hunts: ${avgL1to5} (target: 40–70) ${avgL1to5 >= 40 && avgL1to5 <= 70 ? '✓' : '✗'}`);
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console.log(` L1→10 hunts: ${avgL1to10} (target: 150–300) ${avgL1to10 >= 150 && avgL1to10 <= 300 ? '✓' : '✗'}`);
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if (l1Meadows < targets.l1Meadows[0] || l1Meadows > targets.l1Meadows[1]) { console.log(` L1 Meadows: ${pct(l1Meadows)} ✗`); allMet = false; } else { console.log(` L1 Meadows: ${pct(l1Meadows)} ✓`); }
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if (l1Crags < targets.l1Crags[0] || l1Crags > targets.l1Crags[1]) { console.log(` L1 Crags: ${pct(l1Crags)} ✗`); allMet = false; } else { console.log(` L1 Crags: ${pct(l1Crags)} ✓`); }
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if (l5Forest < targets.l5Forest[0] || l5Forest > targets.l5Forest[1]) { console.log(` L5 Forest: ${pct(l5Forest)} ✗`); allMet = false; } else { console.log(` L5 Forest: ${pct(l5Forest)} ✓`); }
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// Check class spread (no class > 15pp above another in any zone)
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console.log('\n--- Class Spread (max 15pp gap) ---');
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for (const zone of ['meadows', 'forest', 'crags']) {
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const rates = classResults.map(c => zone === 'crags' ? c.results.crags.wins / Math.max(1, c.results.crags.total) : 0);
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// For meadows/forest, compute from the full sim (all hunts in that zone)
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if (zone === 'meadows') {
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const rates2 = classResults.map(c => c.results.meadows.total > 0 ? c.results.meadows.wins / c.results.meadows.total : 0);
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const max = Math.max(...rates2);
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const min = Math.min(...rates2);
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const gap = (max - min) * 100;
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console.log(` Meadows: gap ${pct(gap / 100)} ${gap <= 15 ? '✓' : '✗'}`);
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if (gap > 15) allMet = false;
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}
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}
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console.log('\n' + '='.repeat(80));
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console.log(allMet ? 'ALL TARGETS MET ✓' : 'SOME TARGETS NOT MET ✗ — tune monster stats in a NEW migration');
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console.log('='.repeat(80));
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}
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main();
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