AIHostingTycoon/packages/game-engine/src/systems/competitorSystem.ts

import type { GameState, CompetitorState, Competitor } from '@ai-tycoon/shared';
import {
  COMPETITOR_PRODUCT_THRESHOLDS,
  COMPETITOR_CATCHUP_SHARE_THRESHOLD,
  COMPETITOR_CATCHUP_PRICE_CUT,
  FRESHNESS_DECAY_RATE,
} from '@ai-tycoon/shared';

function updateCompetitorProducts(rival: Competitor): Competitor['products'] {
  const cap = rival.estimatedCapability;
  const p = rival.products;
  const pricing = rival.pricingStrategy;

  const baseChatPrice = 20 * (1 + pricing.premiumPositioning * 0.5 - pricing.aggressiveness * 0.3);
  const baseApiOut = 3.0 * (1 + pricing.premiumPositioning * 0.3 - pricing.aggressiveness * 0.4);

  return {
    hasFreeTier: cap >= COMPETITOR_PRODUCT_THRESHOLDS.freeTierAndChat,
    chatPrice: cap >= COMPETITOR_PRODUCT_THRESHOLDS.freeTierAndChat
      ? Math.max(5, baseChatPrice) : p.chatPrice,
    apiInputPrice: cap >= COMPETITOR_PRODUCT_THRESHOLDS.apiAndCodeAssistant
      ? Math.max(0.2, baseApiOut * 0.33) : p.apiInputPrice,
    apiOutputPrice: cap >= COMPETITOR_PRODUCT_THRESHOLDS.apiAndCodeAssistant
      ? Math.max(0.5, baseApiOut) : p.apiOutputPrice,
    hasCodeAssistant: cap >= COMPETITOR_PRODUCT_THRESHOLDS.apiAndCodeAssistant,
    codeAssistantPrice: cap >= COMPETITOR_PRODUCT_THRESHOLDS.apiAndCodeAssistant
      ? Math.max(10, 20 * (1 - pricing.aggressiveness * 0.3)) : 0,
    hasAgentsPlatform: cap >= COMPETITOR_PRODUCT_THRESHOLDS.agentsPlatform,
    agentsPlatformPrice: cap >= COMPETITOR_PRODUCT_THRESHOLDS.agentsPlatform
      ? Math.max(50, 100 * (1 - pricing.aggressiveness * 0.2)) : 0,
  };
}

export function processCompetitors(state: GameState): CompetitorState {
  const tick = state.meta.tickCount;
  const rivals = state.competitors.rivals.map(rival => {
    if (rival.status !== 'active') return rival;

    const updated = { ...rival };

    // Freshness decay each tick
    updated.modelFreshness = Math.max(0, updated.modelFreshness - FRESHNESS_DECAY_RATE);

    // Developer ecosystem growth based on personality
    const ecoGrowth = rival.personality.openSourceTendency * 0.1 + rival.personality.marketingFocus * 0.05;
    updated.developerEcosystemScore = Math.min(100,
      updated.developerEcosystemScore + ecoGrowth * 0.01,
    );

    // Catch-up: if any market share < threshold, cut prices
    const minShare = Math.min(...Object.values(updated.marketShares));
    if (minShare < COMPETITOR_CATCHUP_SHARE_THRESHOLD) {
      updated.pricingStrategy = {
        ...updated.pricingStrategy,
        aggressiveness: Math.min(1, updated.pricingStrategy.aggressiveness + COMPETITOR_CATCHUP_PRICE_CUT * 0.1),
      };
    }

    if (tick < rival.nextMilestoneAtTick) {
      updated.products = updateCompetitorProducts(updated);
      return updated;
    }

    // Milestone reached — capability jump + model release
    const { personality } = rival;
    const capGrowth = (2 + personality.researchFocus * 5 + personality.riskTolerance * 3) *
      (1 + tick * 0.00005);
    const revenueGrowth = rival.estimatedRevenue * (0.02 + personality.marketingFocus * 0.03);
    const userGrowth = rival.estimatedUsers * (0.01 + personality.marketingFocus * 0.02);

    updated.estimatedCapability = Math.min(95, rival.estimatedCapability + capGrowth);
    updated.estimatedRevenue = rival.estimatedRevenue + revenueGrowth + 50;
    updated.estimatedUsers = Math.floor(rival.estimatedUsers + userGrowth + 100);

    const repChange = personality.safetyFocus > 0.6
      ? 1
      : personality.riskTolerance > 0.7 ? -1 : 0;
    updated.reputation = Math.min(100, Math.max(0, rival.reputation + repChange));

    const modelNames = [
      'Alpha', 'Beta', 'Gamma', 'Delta', 'Epsilon',
      'Nova', 'Quantum', 'Nexus', 'Apex', 'Zenith',
    ];
    const modelIdx = Math.floor(updated.estimatedCapability / 10);
    updated.latestModelName = `${rival.name.split(' ')[0]}-${modelNames[Math.min(modelIdx, modelNames.length - 1)]}`;

    // Model release resets freshness
    updated.modelFreshness = 1.0;
    updated.lastModelReleaseTick = tick;

    updated.products = updateCompetitorProducts(updated);

    const milestoneInterval = 200 + Math.floor(Math.random() * 200);
    updated.nextMilestoneAtTick = tick + milestoneInterval;

    return updated;
  });

  const allCaps = [
    ...rivals.filter(r => r.status === 'active').map(r => r.estimatedCapability),
    state.models.bestDeployedModelScore,
  ];
  const industryBenchmark = allCaps.length > 0 ? Math.max(...allCaps) : 0;

  return { rivals, industryBenchmark };
}