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Sprint 19: Identity Hydration & Precision Math

Following Sprint 18’s intense focus on E2E testing, security audits, and system validation, Sprint 19 targets key game-theoretic calculation accuracy and UI identity precision. This sprint eliminates edge-case math issues in tie-breakers and removes frustrating “Anonymous” fallbacks on the leaderboard and active table interfaces.

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🛠 Context & Required Skills for AI Agents

When operating within Sprint 19 context:
  1. Mathematical Rigor: All calculations regarding ELO or Euclidean space must maintain absolute precision to prevent rounding errors from determining tournament winners.
  2. Deterministic Identity Syncing: Player names and bot identifiers must be hydrated on state transitions rather than on demand. The client-side must never guess player usernames; they must be hydrated directly in the Firestore transaction payload.

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🗺 Sprint 19 Roadmap

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[x] Phase 1: Euclidean Distance Precision Calculations

  • Objective: Re-architect combat resolution math to support double-precision float calculations for tie-breaker logic.
  • Tasks:
    • Replaced low-precision rounded coordinate distance calculation with high-precision double-precision float Euclidean math for tournament tie-breakers.
    • Ensured display values show full precision in the logs and terminal to allow visual verification of tie-breaking results while maintaining transactional safety limits at the DB layer.

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[x] Phase 2: Identity Hydration on Game State

  • Objective: Clean up generic “Anonymous Contender” and “Anonymous Voter” fallbacks on leaderboards and ActiveTable sessions.
  • Tasks:
    • Refactored Ghost Bot instantiation scripts to inject structured botNames directly during active lobby creation.
    • Implemented automatic user profile database fetches to map real players’ Firebase accounts, hydrating verified usernames directly onto Firestore collection table records.

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🏁 Retrospective & Conclusion

Sprint 19 successfully resolved core calculation inaccuracies and fixed lingering player identification bugs. By integrating double-precision float calculations, we eliminate mathematical ambiguity in close matches and tournament tie-breakers. Furthermore, robust player and bot identity hydration across Firestore collections guarantees professional, polished UI states, elevating the competitive user experience to production-ready standards.