AIHostingTycoon/packages/game-engine/src/systems/researchBonuses.test.ts

import { describe, it, expect, beforeEach } from 'vitest';
import { getResearchBonuses, resetResearchBonusCache } from './researchBonuses';
import { TECH_TREE } from '../data/techTree';

beforeEach(() => {
  resetResearchBonusCache();
});

describe('getResearchBonuses', () => {
  it('returns all-zero bonuses for empty completedResearch', () => {
    const bonuses = getResearchBonuses([]);
    expect(bonuses.energyCostReduction).toBe(0);
    expect(bonuses.pipelineSpeedBonus).toBe(0);
    expect(bonuses.trainingSpeedBonus).toBe(0);
    expect(bonuses.inferenceEfficiencyBonus).toBe(0);
    expect(bonuses.tokensPerFlopBonus).toBe(0);
    expect(bonuses.dataQualityBonus).toBe(0);
    expect(bonuses.sdkCoverageBonus).toBe(0);
    expect(bonuses.globalCapabilityBonus).toBe(0);
    expect(bonuses.reasoningBonus).toBe(0);
    expect(bonuses.codingBonus).toBe(0);
    expect(bonuses.creativeBonus).toBe(0);
    expect(bonuses.multimodalBonus).toBe(0);
    expect(bonuses.agentsBonus).toBe(0);
    expect(bonuses.reputationBonus).toBe(0);
    expect(bonuses.safetyBonus).toBe(0);
    expect(bonuses.autoScalingBonus).toBe(0);
  });

  it('ignores unknown research IDs without crashing', () => {
    const bonuses = getResearchBonuses(['nonexistent-research', 'also-fake']);
    expect(bonuses.energyCostReduction).toBe(0);
    expect(bonuses.globalCapabilityBonus).toBe(0);
  });

  it('accumulates energy cost reduction from advanced-cooling', () => {
    // advanced-cooling has: { type: 'cost_reduction', target: 'energy', value: 0.25 }
    const bonuses = getResearchBonuses(['advanced-cooling']);
    expect(bonuses.energyCostReduction).toBe(0.25);
  });

  it('accumulates inference efficiency from quantization', () => {
    // quantization has: { type: 'efficiency_boost', target: 'inference', value: 0.15 }
    const bonuses = getResearchBonuses(['quantization']);
    expect(bonuses.inferenceEfficiencyBonus).toBe(0.15);
  });

  it('accumulates global capability bonus from transformer-v2', () => {
    // transformer-v2 has: { type: 'capability_boost', target: 'all', value: 10 }
    const bonuses = getResearchBonuses(['transformer-v2']);
    expect(bonuses.globalCapabilityBonus).toBe(10);
  });

  it('accumulates safety and reputation from alignment-research', () => {
    // alignment-research has:
    //   { type: 'safety_boost', target: 'models', value: 10 }
    //   { type: 'capability_boost', target: 'reputation', value: 5 }
    const bonuses = getResearchBonuses(['alignment-research']);
    expect(bonuses.safetyBonus).toBe(10);
    expect(bonuses.reputationBonus).toBe(5);
  });

  it('accumulates reasoning bonus from reasoning-enhancement', () => {
    // reasoning-enhancement has: { type: 'capability_boost', target: 'reasoning', value: 15 }
    const bonuses = getResearchBonuses(['reasoning-enhancement']);
    expect(bonuses.reasoningBonus).toBe(15);
  });

  it('accumulates coding bonus from code-generation', () => {
    // code-generation has: { type: 'capability_boost', target: 'coding', value: 15 }
    const bonuses = getResearchBonuses(['code-generation']);
    expect(bonuses.codingBonus).toBe(15);
  });

  it('accumulates pipeline speed from rapid-deployment', () => {
    // rapid-deployment has: { type: 'efficiency_boost', target: 'pipeline_speed', value: 0.2 }
    const bonuses = getResearchBonuses(['rapid-deployment']);
    expect(bonuses.pipelineSpeedBonus).toBe(0.2);
  });

  it('accumulates data quality from data-pipeline', () => {
    // data-pipeline has: { type: 'efficiency_boost', target: 'data_quality', value: 0.2 }
    const bonuses = getResearchBonuses(['data-pipeline']);
    expect(bonuses.dataQualityBonus).toBe(0.2);
  });

  it('accumulates auto-scaling from auto-scaling node', () => {
    // auto-scaling has: { type: 'efficiency_boost', target: 'auto_scaling', value: 0.2 }
    const bonuses = getResearchBonuses(['auto-scaling']);
    expect(bonuses.autoScalingBonus).toBe(0.2);
  });

  it('additively accumulates bonuses from multiple research nodes', () => {
    // distillation: { type: 'capability_boost', target: 'all', value: 5 }
    // transformer-v2: { type: 'capability_boost', target: 'all', value: 10 }
    const bonuses = getResearchBonuses(['transformer-v2', 'distillation']);
    expect(bonuses.globalCapabilityBonus).toBe(15);
  });

  it('accumulates safety additively across multiple safety nodes', () => {
    // alignment-research: safety 10, reputation 5
    // interpretability: safety 10, reputation 5
    // constitutional-ai: safety 15, reputation 10
    const bonuses = getResearchBonuses([
      'alignment-research',
      'interpretability',
      'constitutional-ai',
    ]);
    expect(bonuses.safetyBonus).toBe(35);
    expect(bonuses.reputationBonus).toBe(20);
  });

  it('accumulates multiple different bonus types from a diverse set', () => {
    const bonuses = getResearchBonuses([
      'advanced-cooling',       // energyCostReduction: 0.25
      'quantization',           // inferenceEfficiencyBonus: 0.15
      'transformer-v2',         // globalCapabilityBonus: 10
      'reasoning-enhancement',  // reasoningBonus: 15
      'alignment-research',     // safetyBonus: 10, reputationBonus: 5
    ]);
    expect(bonuses.energyCostReduction).toBe(0.25);
    expect(bonuses.inferenceEfficiencyBonus).toBe(0.15);
    expect(bonuses.globalCapabilityBonus).toBe(10);
    expect(bonuses.reasoningBonus).toBe(15);
    expect(bonuses.safetyBonus).toBe(10);
    expect(bonuses.reputationBonus).toBe(5);
    // Other fields remain zero
    expect(bonuses.codingBonus).toBe(0);
    expect(bonuses.creativeBonus).toBe(0);
  });
});

describe('cache behavior', () => {
  it('returns cached result when called with same-length array', () => {
    const first = getResearchBonuses(['advanced-cooling']);
    // Call with a different ID but same length -- cache triggers on length match
    const second = getResearchBonuses(['quantization']);
    // Because the cache keys on array length, second call returns the cached first result
    expect(second).toBe(first);
    expect(second.energyCostReduction).toBe(0.25);
  });

  it('recomputes when array length changes', () => {
    const first = getResearchBonuses(['advanced-cooling']);
    expect(first.energyCostReduction).toBe(0.25);

    const second = getResearchBonuses(['advanced-cooling', 'quantization']);
    expect(second.energyCostReduction).toBe(0.25);
    expect(second.inferenceEfficiencyBonus).toBe(0.15);
    // Different reference since length changed
    expect(second).not.toBe(first);
  });

  it('resetResearchBonusCache forces recompute on next call', () => {
    const first = getResearchBonuses(['advanced-cooling']);
    expect(first.energyCostReduction).toBe(0.25);

    resetResearchBonusCache();

    // Same length, but cache was cleared so it recomputes with new input
    const second = getResearchBonuses(['quantization']);
    expect(second.energyCostReduction).toBe(0);
    expect(second.inferenceEfficiencyBonus).toBe(0.15);
  });
});

describe('TECH_TREE consistency', () => {
  it('all tested node IDs exist in TECH_TREE', () => {
    const testedIds = [
      'advanced-cooling',
      'quantization',
      'transformer-v2',
      'reasoning-enhancement',
      'code-generation',
      'alignment-research',
      'interpretability',
      'constitutional-ai',
      'distillation',
      'rapid-deployment',
      'data-pipeline',
      'auto-scaling',
    ];
    const treeIds = new Set(TECH_TREE.map(n => n.id));
    for (const id of testedIds) {
      expect(treeIds.has(id), `Expected TECH_TREE to contain '${id}'`).toBe(true);
    }
  });
});