Commit Graph

12 Commits

Author SHA1 Message Date
Cal Corum
874e24dc75 CLAUDE: Implement comprehensive dice roll system with persistence
Core Implementation:
- Created roll_types.py with AbRoll, JumpRoll, FieldingRoll, D20Roll dataclasses
- Implemented DiceSystem singleton with cryptographically secure random generation
- Added Roll model to db_models.py with JSONB storage for roll history
- Implemented save_rolls_batch() and get_rolls_for_game() in database operations

Testing:
- 27 unit tests for roll type dataclasses (100% passing)
- 35 unit tests for dice system (34/35 passing, 1 timing issue)
- 16 integration tests for database persistence (uses production DiceSystem)

Features:
- Unique roll IDs using secrets.token_hex()
- League-specific logic (SBA d100 rare plays, PD error-based rare plays)
- Automatic derived value calculation (d6_two_total, jump_total, error_total)
- Full audit trail with context metadata
- Support for batch saving rolls per inning

Technical Details:
- Fixed dataclass inheritance with kw_only=True for Python 3.13
- Roll data stored as JSONB for flexible querying
- Indexed on game_id, roll_type, league_id, team_id for efficient retrieval
- Supports filtering by roll type, team, and timestamp ordering

Note: Integration tests have async connection pool issue when run together
(tests work individually, fixture cleanup needed in follow-up branch)

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-24 08:29:02 -05:00
Cal Corum
04a5538447 Add scripts to test models in dev database 2025-10-23 09:10:55 -05:00
Cal Corum
9284162682 Clean up false positive Pylance errors 2025-10-23 09:10:41 -05:00
Cal Corum
8f67883be1 CLAUDE: Implement polymorphic Lineup model for PD and SBA leagues
Updated Lineup model to support both leagues using the same pattern as RosterLink:
- Made card_id nullable (PD league)
- Added player_id nullable (SBA league)
- Added XOR CHECK constraint to ensure exactly one ID is populated
- Created league-specific methods: add_pd_lineup_card() and add_sba_lineup_player()
- Replaced generic create_lineup_entry() with league-specific methods

Database migration applied to convert existing schema.

Bonus fix: Resolved Pendulum DateTime + asyncpg timezone compatibility issue
by using .naive() on all DateTime defaults in Game, Play, and GameSession models.

Updated tests to use league-specific lineup methods.
Archived migration docs and script to .claude/archive/ for reference.

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-23 08:35:24 -05:00
Cal Corum
3c5055dbf6 CLAUDE: Implement polymorphic RosterLink for both PD and SBA leagues
Added league-agnostic roster tracking with single-table design:

Database Changes:
- Modified RosterLink model with surrogate primary key (id)
- Added nullable card_id (PD) and player_id (SBA) columns
- Added CHECK constraint ensuring exactly one ID populated (XOR logic)
- Added unique constraints for (game_id, card_id) and (game_id, player_id)
- Imported CheckConstraint and UniqueConstraint from SQLAlchemy

New Files:
- app/models/roster_models.py: Pydantic models for type safety
  - BaseRosterLinkData: Abstract base class
  - PdRosterLinkData: PD league card-based rosters
  - SbaRosterLinkData: SBA league player-based rosters
  - RosterLinkCreate: Request validation model

- tests/unit/models/test_roster_models.py: 24 unit tests (all passing)
  - Tests for PD/SBA roster link creation and validation
  - Tests for RosterLinkCreate XOR validation
  - Tests for polymorphic behavior

Database Operations:
- add_pd_roster_card(): Add PD card to game roster
- add_sba_roster_player(): Add SBA player to game roster
- get_pd_roster(): Get PD cards with optional team filter
- get_sba_roster(): Get SBA players with optional team filter
- remove_roster_entry(): Remove roster entry by ID

Tests:
- Added 12 integration tests for roster operations
- Fixed setup_database fixture scope (module → function)

Documentation:
- Updated backend/CLAUDE.md with RosterLink documentation
- Added usage examples and design rationale
- Updated Game model relationship description

Design Pattern:
Single table with application-layer type safety rather than SQLAlchemy
polymorphic inheritance. Simpler queries, database-enforced integrity,
and Pydantic type safety at application layer.

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-22 22:45:44 -05:00
Cal Corum
c7e8804183 Resolving pylance error 2025-10-22 12:14:50 -05:00
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
0b79868ad0 SBa name update 2025-10-22 11:22:15 -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).

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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
Cal Corum
5c75b935f0 CLAUDE: Initial project setup - documentation and infrastructure
Add comprehensive project documentation and Docker infrastructure for
Paper Dynasty Real-Time Game Engine - a web-based multiplayer baseball
simulation platform replacing the legacy Google Sheets system.

Documentation Added:
- Complete PRD (Product Requirements Document)
- Project README with dual development workflows
- Implementation guide with 5-phase roadmap
- Architecture docs (backend, frontend, database, WebSocket)
- CLAUDE.md context files for each major directory

Infrastructure Added:
- Root docker-compose.yml for full stack orchestration
- Dockerfiles for backend and both frontends (multi-stage builds)
- .dockerignore files for optimal build context
- .env.example with all required configuration
- Updated .gitignore for Python, Node, Nuxt, and Docker

Project Structure:
- backend/ - FastAPI + Socket.io game engine (Python 3.11+)
- frontend-sba/ - SBA League Nuxt 3 frontend
- frontend-pd/ - PD League Nuxt 3 frontend
- .claude/implementation/ - Detailed implementation guides

Supports two development workflows:
1. Local dev (recommended): Services run natively with hot-reload
2. Full Docker: One-command stack orchestration for testing/demos

Next: Phase 1 implementation (backend/frontend foundations)
2025-10-21 16:21:13 -05:00
Cal Corum
6eb4882d3f Initial commit 2025-10-21 15:15:33 -05:00