ðŸĨ PROJECT_HEALTH_REPORT.md - Project Health Report (āļĢāļēāļĒāļ‡āļēāļ™āļ āļēāļžāļĢāļ§āļĄāļŠāļļāļ‚āļ āļēāļžāļ‚āļ­āļ‡āđ‚āļ„āļĢāļ‡āļāļēāļĢ)

This document provides a summary of the architectural integrity, document status, and system risks for SplitDee.
āđ€āļ­āļāļŠāļēāļĢāļ‰āļšāļąāļšāļ™āļĩāđ‰āļ›āļĢāļ°āđ€āļĄāļīāļ™āļŠāļąāļ”āļŠāđˆāļ§āļ™āļŠāļļāļ‚āļ āļēāļžāļ„āļ§āļēāļĄāļžāļĢāđ‰āļ­āļĄāļ‡āļēāļ™āļ­āļ­āļāđāļšāļš āđ€āļ­āļāļŠāļēāļĢāļĢāļ°āļšāļš āđāļĨāļ°āļāļēāļĢāļˆāļąāļ”āļāļēāļĢāļ„āļ§āļēāļĄāđ€āļŠāļĩāđˆāļĒāļ‡āļŠāļģāļŦāļĢāļąāļšāđ‚āļ„āļĢāļ‡āļāļēāļĢ SplitDee


ðŸ‡đ🇭 āļ āļēāļĐāļēāđ„āļ—āļĒ (āļŠāļģāļŦāļĢāļąāļšāļœāļđāđ‰āđƒāļŠāđ‰āļ‡āļēāļ™)

📊 āļĢāļēāļĒāļ‡āļēāļ™āļŠāļ–āļīāļ•āļīāļ„āļ°āđāļ™āļ™āļ„āļ§āļēāļĄāļžāļĢāđ‰āļ­āļĄāļŠāļļāļ‚āļ āļēāļž

  • āļ„āļ°āđāļ™āļ™āļ āļēāļžāļĢāļ§āļĄāđ‚āļ„āļĢāļ‡āļāļēāļĢ: 94 / 100 (ðŸŸĒ Healthy / āļŠāļļāļ‚āļ āļēāļžāļ”āļĩāđāļ‚āđ‡āļ‡āđāļĢāļ‡)
  • āļ„āļ°āđāļ™āļ™āļĢāļ°āļšāļšāđ€āļ­āļāļŠāļēāļĢ (Documentation Score): 100 / 100
    • āđ€āļ­āļāļŠāļēāļĢāļĢāđˆāļēāļ‡āļ§āđˆāļēāļ‡āđ€āļ›āļĨāđˆāļēāđ„āļ”āđ‰āļĢāļąāļšāļāļēāļĢāđ€āļ•āļīāļĄāļ„āļģāļ„āļĢāļšāļ–āđ‰āļ§āļ™āļŦāļĄāļ”āđāļĨāđ‰āļ§ āļĢāļ°āļšāļšāļœāļąāļ‡āļ”āļąāļŠāļ™āļĩāļŠāļ·āļšāļ„āđ‰āļ™āļ–āļđāļāļ•āđ‰āļ­āļ‡āđ€āļŠāļ–āļĩāļĒāļĢ 100%
  • āļ„āļ°āđāļ™āļ™āļŠāļ–āļēāļ›āļąāļ•āļĒāļāļĢāļĢāļĄ (Architecture Score): 85 / 100
    • āđ‚āļ„āļĢāļ‡āļĢāđˆāļēāļ‡āļŠāļ–āļēāļ›āļąāļ•āļĒāļāļĢāļĢāļĄāļŠāļ°āļ­āļēāļ” (Clean Architecture) āđāļĨāļ°āļāļēāļĢāđāļšāđˆāļ‡āđ‚āļĄāđ€āļ”āļĨ ERD āļĄāļĩāļ„āļ§āļēāļĄāļāļĢāļ°āļŠāļąāļšāđ€āļŦāļĄāļēāļ°āļŠāļĄ āđāļ•āđˆāļŦāļąāļāļ„āļ°āđāļ™āļ™āļŠāđˆāļ§āļ™ use case āļŦāļĨāļąāļ‡āļšāđ‰āļēāļ™āđƒāļ™āļĢāļ°āļšāļšāļĨāđ‡āļ­āļāļ­āļīāļ™āļ”āļąāđ‰āļ‡āđ€āļ”āļīāļĄāļ—āļĩāđˆāļĄāļĩāļāļēāļĢāļ™āļģāđ€āļ‚āđ‰āļēāļŸāļąāļ‡āļāđŒāļŠāļąāļ™āļ‚āđ‰āļēāļĄāđ€āļĨāđ€āļĒāļ­āļĢāđŒāđ‚āļ”āļĒāļ•āļĢāļ‡
  • āļ„āļ°āđāļ™āļ™āļ„āļļāļ“āļ āļēāļžāđ€āļŠāļīāļ‡āļ˜āļļāļĢāļāļīāļˆāļœāļĨāļīāļ•āļ āļąāļ“āļ‘āđŒ (Product Score): 95 / 100
    • āļĒāļđāļŠāđ€āļ„āļŠāđāļĨāļ°āļ āļēāļžāļĢāđˆāļēāļ‡āļŦāļ™āđ‰āļēāļˆāļ­āļĄāļ·āļ­āļ–āļ·āļ­āļŠāđ€āļ›āļāļ—āļģāđ€āļŠāļĢāđ‡āļˆāļŦāļĄāļ”āđāļĨāđ‰āļ§ āļ‚āļēāļ”āđ€āļžāļĩāļĒāļ‡āļāļēāļĢāļĢāļąāļšāļĢāļ­āļ‡āļŠāļđāļ•āļĢāļŠāļĄāļ”āļļāļĨāļ„āļ§āļēāļĄāđ€āļĢāđ‡āļ§āļŦāļąāļ HP āļ‚āļ­āļ‡āļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡ Mochi
  • āļ„āļ°āđāļ™āļ™āļ„āļ§āļēāļĄāļžāļĢāđ‰āļ­āļĄāļœāļđāđ‰āļŠāđˆāļ§āļĒ AI (AI Readiness Score): 100 / 100
    • āļˆāļąāļ”āļ—āļģāđāļœāļ™āļŠāļēāļĢāļšāļąāļāļ™āļģāļ—āļēāļ‡ INDEX.md āđāļĨāļ°āļ—āļīāļĻāļ—āļēāļ‡āļāļēāļĢāđ„āļŦāļĨāđ€āļ§āļĩāļĒāļ™āļ‚āđ‰āļ­āļĄāļđāļĨāļ˜āļļāļĢāļāļĢāļĢāļĄ SYSTEM_MAP.md āđ€āļžāļ·āđˆāļ­āļŠāđˆāļ§āļĒāđƒāļŦāđ‰ AI āđ€āļ‚āđ‰āļēāđƒāļˆāđ‚āļ„āļĢāļ‡āļŠāļĢāđ‰āļēāļ‡āļĢāļŦāļąāļŠāđ„āļ”āđ‰āļ‡āđˆāļēāļĒ
  • āļ„āļ°āđāļ™āļ™āļ„āļ§āļēāļĄāļžāļĢāđ‰āļ­āļĄāļāļąāđˆāļ‡āđ‚āļ›āļĢāđāļāļĢāļĄāđ€āļĄāļ­āļĢāđŒ (Engineering Readiness Score): 90 / 100
    • āļĄāļĩāļāļŽāļāļēāļĢāđ‚āļ„āđ‰āļ” āļĄāļēāļ•āļĢāļāļēāļ™ Git āđāļĨāļ°āđāļœāļ™āļ—āļ”āļŠāļ­āļš Pytest rollback āļĒāļ­āļ”āđ€āļ‡āļīāļ™āļˆāļģāļĨāļ­āļ‡āļžāļĢāđ‰āļ­āļĄāļĢāļąāļ™āļĢāļ°āļšāļšāđ€āļŸāļŠ 2

ðŸšĻ āļ•āļēāļĢāļēāļ‡āļĢāļēāļĒāļ‡āļēāļ™āļ„āļ§āļēāļĄāđ€āļŠāļĩāđˆāļĒāļ‡āđ‚āļ„āļĢāļ‡āļāļēāļĢ

  1. āļ„āđˆāļēāļšāļĢāļīāļŦāļēāļĢāđāļŠāļāļ™āļŠāļĨāļīāļ›āđ‚āļ­āļ™āļœāđˆāļēāļ™ AI (R-COST-002): āļĄāļĩāļ„āđˆāļēāđƒāļŠāđ‰āļˆāđˆāļēāļĒāļ•āđˆāļ­āļ„āļĢāļąāđ‰āļ‡āļ—āļĢāļēāļ™āđāļ‹āļāļŠāļąāļ™āļ˜āļ™āļēāļ„āļēāļĢ âž” āđāļāđ‰āđ„āļ‚āđ‚āļ”āļĒāļ—āļģāļĢāļ°āļšāļšāļˆāļģāđ€āļĨāļ‚āļŠāļĨāļīāļ›āđ‚āļ­āļ™āļ‹āđ‰āļģāļ‹āđ‰āļ­āļ™ āļāļģāļŦāļ™āļ”āđ‚āļ„āļ§āļ•āđ‰āļēāļŠāđāļāļ™āļĢāļēāļĒāļ§āļąāļ™ āđāļĨāļ°āđƒāļŦāđ‰āļŠāļīāļ—āļ˜āļīāđŒāđ€āļˆāđ‰āļēāļŦāļ™āļĩāđ‰āļĢāļąāļšāđ‚āļ­āļ™āļ•āļĢāļ§āļˆ STATEMENT āļ”āđ‰āļ§āļĒāļĄāļ·āļ­āđ€āļ›āļĨāđˆāļēāđ„āļ”āđ‰āđ€āļ­āļ‡
  2. āļ›āļąāļāļŦāļēāļŠāļ–āļēāļ›āļąāļ•āļĒāļāļĢāļĢāļĄāļ‚āđ‰āļēāļĄāđ€āļĨāđ€āļĒāļ­āļĢāđŒāļŦāļĨāļąāļ‡āļšāđ‰āļēāļ™: āļŠāļąāđ‰āļ™āļĒāļđāļŠāđ€āļ„āļŠāļĨāđ‡āļ­āļāļ­āļīāļ™āđ€āļĢāļĩāļĒāļāđ„āļŸāļĨāđŒ Hasher/Token āļ‚āļ­āļ‡āļ āļēāļĒāļ™āļ­āļāļĄāļēāđƒāļŠāđ‰āļ•āļĢāļ‡āđ† ➔ āđāļāđ‰āđ„āļ‚āđ‚āļ”āļĒāļˆāļąāļ”āļ•āļąāđ‰āļ‡āļ„āļĨāļēāļŠ Interface āļāļĨāļēāļ‡āđƒāļ™āļŠāļąāđ‰āļ™āđ‚āļ”āđ€āļĄāļ™āđāļĨāļ°āļ‰āļĩāļ” Dependency Injection āđƒāļ™āļŠāļ›āļĢāļīāļ™āļ—āđŒāļ–āļąāļ”āđ„āļ›
  3. āļ„āļ§āļēāļĄ punitive āļ‚āļ­āļ‡āļ„āđˆāļē HP āļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡āđ‚āļĄāļˆāļīāļāļĨāļļāđˆāļĄ (R-GAM-004): āļāļēāļĢāļŦāļąāļāļ„āļ°āđāļ™āļ™ HP āđ€āļĄāļ·āđˆāļ­āđ€āļžāļ·āđˆāļ­āļ™āđ‚āļ­āļ™āļŠāđ‰āļēāļ­āļēāļˆāļ—āļģāđƒāļŦāđ‰āļ„āļ™āļŦāļ‡āļļāļ”āļŦāļ‡āļīāļ”āļ‚āļąāļ”āđāļĒāđ‰āļ‡āļāļąāļ™āđāļĨāļ°āļĨāļšāđāļ­āļ› âž” āđāļāđ‰āđ„āļ‚āđ‚āļ”āļĒāļ›āļĢāļąāļšāļ›āļĢāļļāļ‡ UI āđ€āļ™āđ‰āļ™āđāļˆāļ XP āđ€āļĄāļ·āđˆāļ­āļˆāđˆāļēāļĒāđ„āļ§ āđāļĨāļ°āđ€āļžāļīāđˆāļĄāļ›āļļāđˆāļĄāđ€āļ›āļīāļ”āļ›āļīāļ”āđ‚āļŦāļĄāļ”āļžāļąāļāļĢāđ‰āļ­āļ™āđ€āļžāļ·āđˆāļ­āļŦāļĒāļļāļ”āļ„āļģāļ™āļ§āļ“āļŦāļąāļ HP āļŠāļąāđˆāļ§āļ„āļĢāļēāļ§

⏭ïļ āļ āļēāļĢāļāļīāļˆāļ–āļąāļ”āđ„āļ›āļ—āļĩāđˆ CTO āđāļ™āļ°āļ™āļģ

  • āļŠāļ›āļĢāļīāļ™āļ—āđŒ 2: āļĢāļĩāđāļŸāļ„āđ€āļ•āļ­āļĢāđŒāđāļāđ‰āđ‚āļ„āļĢāļ‡āļŠāļĢāđ‰āļēāļ‡ API āļĨāđ‡āļ­āļāļ­āļīāļ™āļ„āļ§āļēāļĄāļ›āļĨāļ­āļ”āļ āļąāļĒ, āđ€āļĢāļīāđˆāļĄāļ­āļīāļĄāļžāļ­āļĢāđŒāļ•āļ•āļēāļĢāļēāļ‡āļāļēāļ™āļ‚āđ‰āļ­āļĄāļđāļĨāđāļĨāļ°āļ•āļąāđ‰āļ‡āđ„āļĄāđ€āļāļĢāļŠāļąāļ™āļ”āđ‰āļ§āļĒ Alembic, āļĢāļąāļ™āļ„āļīāļ§ Docker-compose āđāļĨāļ°āļ‚āļķāđ‰āļ™āļŠāđ€āļāđ€āļĨāļ•āļąāļ™ UI āļŠāļĄāļąāļ„āļĢāļŠāļĄāļēāļŠāļīāļāļšāļ™āđāļ­āļ›āļĄāļ·āļ­āļ–āļ·āļ­ Flutter

🇎🇧 English (For AI Agents)

📊 Health Scores

  • Overall Project Score: 94/100 (ðŸŸĒ Healthy)
  • Documentation Score: 100/100
    • All gaps closed. Empty placeholder files (such as 09_Product_Review_Checklist.md) are fully populated. Relative linking is fully validated.
  • Architecture Score: 85/100
    • High-level patterns (Clean Architecture, Docker blueprints, DB Schemas) are solid. However, the backend auth prototype exhibits direct boundary violations (use case depending directly on infra security utils).
  • Product Score: 95/100
    • Requirements, personas, wireframes, and use cases are fully documented. Need to freeze gamification deduction curves.
  • AI Readiness Score: 100/100
    • Unified indices (INDEX.md, SYSTEM_MAP.md) and directory rules make the repository highly parsed and accessible for future agent operations.
  • Engineering Readiness Score: 90/100
    • Development standards (PEP 8, Dart style guides), git workflow, and testing strategy (pytest/transaction rollback patterns) are in place. Ready to commence Phase 2.

ðŸšĻ Current Risks Summary

  1. OCR Slip Validation Costs (Operational): Automated verification checks using third-party APIs introduce transactional expenses.
    • Mitigation: In-app scan caching, daily request thresholds per user, and manual confirmation overrides.
  2. Clean Architecture Boundary Leak: The current login/registration prototype calls hasher and token infrastructure imports directly.
    • Mitigation: Defuse this drift by defining hasher and token interfaces in the domain layer, injecting them via dependency injection in Sprint 2.
  3. App Store Rejection (Gamification HP Deduction): Overly punitive group pet HP loss could violate store policies or cause high user attrition.
    • Mitigation: Refocus UI representation around positive reinforcement (bonus XP for early payment) and introduce group “Vacation Mode” toggle.
  • “Mission: Refactor & Containerization”
    1. Refactor Auth Use Cases: Decouple concrete hasher/token implementations from Register/Login use cases by introducing domain-level interfaces.
    2. Setup Alembic Migrations: Configure PostgreSQL connection engine and initialize Alembic database migration scripts.
    3. Dockerize Services: Configure FastAPI, Postgres, and Redis containers inside a local docker-compose environment.
    4. Build Flutter Auth Screens: Establish basic Riverpod providers and render the login/signup mobile wireframe pages.