Add Week 2 depth systems: research, events, competitors, talent, data

Tech tree with 21 research nodes across 5 categories (infrastructure, efficiency, generation, specialization, safety). Research page with category-grouped cards, progress tracking, prerequisite gating. Event engine with 34 events across industry/regulatory/PR/internal/market categories, weighted random firing, cooldowns, expiry, and choice modal with consequence preview. Events auto-expire with default choice. Competitor system with 3 rival AI labs (Prometheus AI, Nexus Labs, Titan Computing), personality-driven milestone progression, and comparison UI. Talent page with department hiring, headcount management, and key hire recruitment from a pool of 10 named characters with special abilities. Data marketplace with 8 purchasable datasets, user data flywheel from subscribers, and data system processing in tick loop. Era transition system checks revenue/capability/reputation thresholds. All new systems integrated into tick processor with notifications. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-24 17:30:24 -04:00
parent d1d3eb4bf2
commit 8c9555bc08
19 changed files with 3166 additions and 21 deletions
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+import type { GameState, CompetitorState } from '@ai-tycoon/shared';
+
+export function processCompetitors(state: GameState): CompetitorState {
+  const tick = state.meta.tickCount;
+  const rivals = state.competitors.rivals.map(rival => {
+    if (rival.status !== 'active') return rival;
+
+    if (tick < rival.nextMilestoneAtTick) return rival;
+
+    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);
+
+    const newCapability = Math.min(95, rival.estimatedCapability + capGrowth);
+    const newRevenue = rival.estimatedRevenue + revenueGrowth + 50;
+    const newUsers = rival.estimatedUsers + userGrowth + 100;
+
+    const repChange = personality.safetyFocus > 0.6
+      ? 1
+      : personality.riskTolerance > 0.7 ? -1 : 0;
+
+    const modelNames = [
+      'Alpha', 'Beta', 'Gamma', 'Delta', 'Epsilon',
+      'Nova', 'Quantum', 'Nexus', 'Apex', 'Zenith',
+    ];
+    const modelIdx = Math.floor(newCapability / 10);
+    const latestModelName = `${rival.name.split(' ')[0]}-${modelNames[Math.min(modelIdx, modelNames.length - 1)]}`;
+
+    const milestoneInterval = 200 + Math.floor(Math.random() * 200);
+
+    return {
+      ...rival,
+      estimatedCapability: newCapability,
+      estimatedRevenue: newRevenue,
+      estimatedUsers: Math.floor(newUsers),
+      reputation: Math.min(100, Math.max(0, rival.reputation + repChange)),
+      latestModelName,
+      nextMilestoneAtTick: tick + milestoneInterval,
+    };
+  });
+
+  const allCaps = [
+    ...rivals.filter(r => r.status === 'active').map(r => r.estimatedCapability),
+    state.models.trainedModels.reduce((best, m) => Math.max(best, m.benchmarkScore), 0),
+  ];
+  const industryBenchmark = allCaps.length > 0 ? Math.max(...allCaps) : 0;
+
+  return { rivals, industryBenchmark };
+}