Commit Graph

103 Commits

Author SHA1 Message Date
Cal Corum
a287784328 CLAUDE: Complete Week 4 - State Management & Persistence
Implemented hybrid state management system with in-memory game states and async
PostgreSQL persistence. This provides the foundation for fast gameplay (<500ms
response) with complete state recovery capabilities.

## Components Implemented

### Production Code (3 files, 1,150 lines)
- app/models/game_models.py (492 lines)
  - Pydantic GameState with 20+ helper methods
  - RunnerState, LineupPlayerState, TeamLineupState
  - DefensiveDecision and OffensiveDecision models
  - Full Pydantic v2 validation with field validators

- app/core/state_manager.py (296 lines)
  - In-memory state management with O(1) lookups
  - State recovery from database
  - Idle game eviction mechanism
  - Statistics tracking

- app/database/operations.py (362 lines)
  - Async PostgreSQL operations
  - Game, lineup, and play persistence
  - Complete state loading for recovery
  - GameSession WebSocket state tracking

### Tests (4 files, 1,963 lines, 115 tests)
- tests/unit/models/test_game_models.py (60 tests, ALL PASSING)
- tests/unit/core/test_state_manager.py (26 tests, ALL PASSING)
- tests/integration/database/test_operations.py (21 tests)
- tests/integration/test_state_persistence.py (8 tests)
- pytest.ini (async test configuration)

### Documentation (6 files)
- backend/CLAUDE.md (updated with Week 4 patterns)
- .claude/implementation/02-week4-state-management.md (marked complete)
- .claude/status-2025-10-22-0113.md (planning session summary)
- .claude/status-2025-10-22-1147.md (implementation session summary)
- .claude/implementation/player-data-catalog.md (player data reference)
- Week 5 & 6 plans created

## Key Features

- Hybrid state: in-memory (fast) + PostgreSQL (persistent)
- O(1) state access via dictionary lookups
- Async database writes (non-blocking)
- Complete state recovery from database
- Pydantic validation on all models
- Helper methods for common game operations
- Idle game eviction with configurable timeout
- 86 unit tests passing (100%)

## Performance

- State access: O(1) via UUID lookup
- Memory per game: ~1KB (just state)
- Target response time: <500ms 
- Database writes: <100ms (async) 

## Testing

- Unit tests: 86/86 passing (100%)
- Integration tests: 29 written
- Test configuration: pytest.ini created
- Fixed Pydantic v2 config deprecation
- Fixed pytest-asyncio configuration

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-22 12:01:03 -05:00
Cal Corum
d8a43faa2e CLAUDE: Complete Phase 1 - Frontend Infrastructure Setup
Initialize both Nuxt 3 frontends (SBA and PD) with full configuration:

Frontend Setup:
- Initialized Nuxt 3 projects for both leagues (SBA and PD)
- Installed dependencies: Tailwind CSS, Pinia, Socket.io-client, Axios
- Configured league-specific settings in nuxt.config.ts
- Created WebSocket plugins for real-time communication
- Set up TypeScript with strict mode and type checking
- Configured Tailwind CSS for styling

Backend Updates:
- Updated database models documentation in backend/CLAUDE.md
- Enhanced db_models.py with additional relationship patterns

Documentation:
- Updated Phase 1 completion checklist (12/12 items - 100% complete)
- Marked all infrastructure objectives as complete

Running Services:
- Backend (FastAPI + Socket.io): http://localhost:8000
- Frontend SBA: http://localhost:3000
- Frontend PD: http://localhost:3001
- Redis: port 6379
- PostgreSQL: Connected to remote server

Phase 1 is now complete. Ready to proceed to Phase 2 (Game Engine Core).

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-22 00:24:00 -05:00
Cal Corum
fc7f53adf3 CLAUDE: Complete Phase 1 backend infrastructure setup
Implemented full FastAPI backend with WebSocket support, database models,
and comprehensive documentation for the Paper Dynasty game engine.

Backend Implementation:
- FastAPI application with Socket.io WebSocket server
- SQLAlchemy async database models (Game, Play, Lineup, GameSession)
- PostgreSQL connection to dev server (10.10.0.42:5432)
- Connection manager for WebSocket lifecycle
- JWT authentication utilities
- Health check and stub API endpoints
- Rotating file logger with Pendulum datetime handling
- Redis via Docker Compose for caching

Technical Details:
- Python 3.13 with updated package versions
- Pendulum 3.0 for all datetime operations
- Greenlet for SQLAlchemy async support
- Fixed SQLAlchemy reserved column names (metadata -> *_metadata)
- Pydantic Settings with JSON array format for lists
- Docker Compose V2 commands

Documentation:
- Updated backend/CLAUDE.md with environment-specific details
- Created .claude/ENVIRONMENT.md for gotchas and quirks
- Created QUICKSTART.md for developer onboarding
- Documented all critical learnings and troubleshooting steps

Database:
- Tables created: games, plays, lineups, game_sessions
- All indexes and foreign keys configured
- Successfully tested connection and health checks

Verified:
- Server starts at http://localhost:8000
- Health endpoints responding
- Database connection working
- WebSocket infrastructure functional
- Hot-reload working

🎯 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-21 19:46:16 -05:00