strat-gameplay-webapp/backend/CLAUDE.md
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

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9.8 KiB
Markdown

# Backend - Paper Dynasty Game Engine
## Overview
FastAPI-based real-time game backend handling WebSocket communication, game state management, and database persistence for both SBA and PD leagues.
## Technology Stack
- **Framework**: FastAPI (Python 3.11+)
- **WebSocket**: Socket.io (python-socketio)
- **Database**: PostgreSQL 14+ with SQLAlchemy 2.0 (async)
- **ORM**: SQLAlchemy with asyncpg driver
- **Validation**: Pydantic v2
- **Testing**: pytest with pytest-asyncio
- **Code Quality**: black, flake8, mypy
## Project Structure
```
backend/
├── app/
│ ├── main.py # FastAPI app + Socket.io initialization
│ ├── config.py # Settings with pydantic-settings
│ │
│ ├── core/ # Game logic (Phase 2+)
│ │ ├── game_engine.py # Main game simulation
│ │ ├── state_manager.py # In-memory state
│ │ ├── play_resolver.py # Play outcome resolution
│ │ ├── dice.py # Secure random rolls
│ │ └── validators.py # Rule validation
│ │
│ ├── config/ # League configurations (Phase 2+)
│ │ ├── base_config.py # Shared configuration
│ │ ├── league_configs.py # SBA/PD specific
│ │ └── result_charts.py # d20 outcome tables
│ │
│ ├── models/ # Data models
│ │ ├── db_models.py # SQLAlchemy ORM models
│ │ ├── game_models.py # Pydantic game state models (Phase 2+)
│ │ └── player_models.py # Polymorphic player models (Phase 2+)
│ │
│ ├── websocket/ # WebSocket handling
│ │ ├── connection_manager.py # Connection lifecycle
│ │ ├── handlers.py # Event handlers
│ │ └── events.py # Event definitions (Phase 2+)
│ │
│ ├── api/ # REST API
│ │ ├── routes/
│ │ │ ├── health.py # Health check endpoints
│ │ │ ├── auth.py # Discord OAuth (Phase 1)
│ │ │ └── games.py # Game CRUD (Phase 2+)
│ │ └── dependencies.py # FastAPI dependencies
│ │
│ ├── database/ # Database layer
│ │ ├── session.py # Async session management
│ │ └── operations.py # DB operations (Phase 2+)
│ │
│ ├── data/ # External data (Phase 2+)
│ │ ├── api_client.py # League REST API client
│ │ └── cache.py # Caching layer
│ │
│ └── utils/ # Utilities
│ ├── logging.py # Logging setup
│ └── auth.py # JWT utilities (Phase 1)
├── tests/
│ ├── unit/ # Unit tests
│ ├── integration/ # Integration tests
│ └── e2e/ # End-to-end tests
├── logs/ # Application logs (gitignored)
├── venv/ # Virtual environment (gitignored)
├── .env # Environment variables (gitignored)
├── .env.example # Environment template
├── requirements.txt # Production dependencies
├── requirements-dev.txt # Dev dependencies
├── Dockerfile # Container definition
├── docker-compose.yml # Redis for local dev
└── pytest.ini # Pytest configuration
```
## Key Architectural Patterns
### 1. Hybrid State Management
- **In-Memory**: Active game states for fast access (<500ms response)
- **PostgreSQL**: Persistent storage for recovery and history
- **Pattern**: Write-through cache (update memory + async DB write)
### 2. Polymorphic Player Models
```python
# Base class with abstract methods
class BasePlayer(BaseModel, ABC):
@abstractmethod
def get_image_url(self) -> str: ...
# League-specific implementations
class SbaPlayer(BasePlayer): ...
class PdPlayer(BasePlayer): ...
# Factory pattern for instantiation
Lineup.from_api_data(config, data)
```
### 3. League-Agnostic Core
- Game engine works for any league
- League-specific logic in config classes
- Result charts loaded per league
### 4. Async-First
- All database operations use `async/await`
- Database writes don't block game logic
- Connection pooling for efficiency
## Development Workflow
### Daily Development
```bash
# Activate virtual environment
source venv/bin/activate
# Start Redis (in separate terminal)
docker-compose up
# Run backend with hot-reload
python -m app.main
# Backend available at http://localhost:8000
# API docs at http://localhost:8000/docs
```
### Testing
```bash
# Run all tests
pytest tests/ -v
# Run with coverage
pytest tests/ --cov=app --cov-report=html
# Run specific test file
pytest tests/unit/test_game_engine.py -v
# Type checking
mypy app/
# Code formatting
black app/ tests/
# Linting
flake8 app/ tests/
```
## Coding Standards
### Python Style
- **Formatting**: Black with default settings
- **Line Length**: 88 characters (black default)
- **Imports**: Group stdlib, third-party, local (isort compatible)
- **Type Hints**: Required for all public functions
- **Docstrings**: Google style for classes and public methods
### Logging Pattern
```python
import logging
logger = logging.getLogger(f'{__name__}.ClassName')
# Usage
logger.info(f"User {user_id} connected")
logger.error(f"Failed to process action: {error}", exc_info=True)
```
### Error Handling
- **Raise or Return**: Never return `Optional` unless specifically required
- **Custom Exceptions**: Use for domain-specific errors
- **Logging**: Always log exceptions with context
### Dataclasses
```python
from dataclasses import dataclass
@dataclass
class GameState:
game_id: str
inning: int
outs: int
# ... fields
```
## Database Patterns
### Async Session Usage
```python
from app.database.session import get_session
async def some_function():
async with get_session() as session:
result = await session.execute(query)
# session.commit() happens automatically
```
### Model Definitions
```python
from app.database.session import Base
from sqlalchemy import Column, String, Integer
class Game(Base):
__tablename__ = "games"
id = Column(UUID(as_uuid=True), primary_key=True)
# ... columns
```
## WebSocket Patterns
### Event Handler Registration
```python
@sio.event
async def some_event(sid, data):
"""Handle some_event from client"""
try:
# Validate data
# Process action
# Emit response
await sio.emit('response_event', result, room=sid)
except Exception as e:
logger.error(f"Error handling event: {e}")
await sio.emit('error', {'message': str(e)}, room=sid)
```
### Broadcasting
```python
# To specific game room
await connection_manager.broadcast_to_game(
game_id,
'game_state_update',
state_data
)
# To specific user
await connection_manager.emit_to_user(
sid,
'decision_required',
decision_data
)
```
## Environment Variables
Required in `.env`:
```bash
# Database
DATABASE_URL=postgresql+asyncpg://user:pass@host:5432/dbname
# Application
SECRET_KEY=your-secret-key-at-least-32-chars
# Discord OAuth
DISCORD_CLIENT_ID=your-client-id
DISCORD_CLIENT_SECRET=your-client-secret
# League APIs
SBA_API_URL=https://sba-api.example.com
SBA_API_KEY=your-api-key
PD_API_URL=https://pd-api.example.com
PD_API_KEY=your-api-key
```
## Performance Targets
- **Action Response**: < 500ms from user action to state update
- **WebSocket Delivery**: < 200ms
- **Database Write**: < 100ms (async, non-blocking)
- **State Recovery**: < 2 seconds
- **Concurrent Games**: Support 10+ simultaneous games
- **Memory**: < 1GB with 10 active games
## Security Considerations
- **Authentication**: All WebSocket connections require valid JWT
- **Authorization**: Verify team ownership before allowing actions
- **Input Validation**: Pydantic models validate all inputs
- **SQL Injection**: Prevented by SQLAlchemy ORM
- **Dice Rolls**: Cryptographically secure random generation
- **Server-Side Logic**: All game rules enforced server-side
## Common Tasks
### Adding a New API Endpoint
1. Create route in `app/api/routes/`
2. Define Pydantic request/response models
3. Add dependency injection if needed
4. Register router in `app/main.py`
### Adding a New WebSocket Event
1. Define event handler in `app/websocket/handlers.py`
2. Register with `@sio.event` decorator
3. Validate data with Pydantic
4. Add corresponding client handling in frontend
### Adding a New Database Model
1. Define SQLAlchemy model in `app/models/db_models.py`
2. Create Alembic migration: `alembic revision --autogenerate -m "description"`
3. Apply migration: `alembic upgrade head`
## Troubleshooting
### Import Errors
- Ensure virtual environment is activated
- Check `PYTHONPATH` if using custom structure
- Verify all `__init__.py` files exist
### Database Connection Issues
- Verify `DATABASE_URL` in `.env` is correct
- Test connection: `psql $DATABASE_URL`
- Check firewall/network access
- Verify database exists
### WebSocket Not Connecting
- Check CORS settings in `config.py`
- Verify token is being sent from client
- Check logs for connection errors
- Ensure Socket.io versions match (client/server)
## References
- **Implementation Guide**: `../.claude/implementation/01-infrastructure.md`
- **Backend Architecture**: `../.claude/implementation/backend-architecture.md`
- **WebSocket Protocol**: `../.claude/implementation/websocket-protocol.md`
- **Database Design**: `../.claude/implementation/database-design.md`
- **Full PRD**: `../prd-web-scorecard-1.1.md`
---
**Current Phase**: Phase 1 - Core Infrastructure
**Next Phase**: Phase 2 - Game Engine Core