c10fdd594d2d8ee70aad75fb06fb0edff330d243
Implemented complete REST API to retrieve NHL player statistics for entire teams:
Application Layer:
- Created DTOs for Player, SkaterStats, GoalieStats, and PlayerWithStatsDTO
- Implemented GetTeamPlayerStatsUseCase that orchestrates data retrieval
- Transforms domain entities to API-friendly DTOs
Presentation Layer:
- Created /api/v1/teams/{team_id}/players endpoint (all players)
- Created /api/v1/teams/{team_id}/players/skaters endpoint (skaters only)
- Created /api/v1/teams/{team_id}/players/goalies endpoint (goalies only)
- Integrated routes into main FastAPI application
Features:
- Retrieves complete roster for any NHL team by abbreviation
- Aggregates current season statistics for each player
- Differentiates between skater and goalie statistics
- Proper error handling with 404 for invalid teams
- Follows CLEAN architecture with dependency injection
Documentation:
- Created comprehensive API_GUIDE.md with usage examples
- Includes setup instructions, endpoint documentation
- Python, JavaScript, and cURL examples
- Complete list of NHL team abbreviations
Testing:
- Added test scripts for both direct adapter testing and REST API testing
- Verified functionality with Toronto Maple Leafs data
The REST API is now ready for integration with fantasy hockey analysis tools.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Project Kempe - Fantasy Hockey Backend
A CLEAN architecture backend application for managing and analyzing Yahoo Fantasy Hockey teams using NHL live data.
Architecture
This application follows CLEAN architecture principles with clear separation of concerns:
src/
├── domain/ # Enterprise business rules
│ ├── entities/ # Core business entities
│ └── repositories/ # Repository interfaces (ports)
├── application/ # Application business rules
│ ├── use_cases/ # Use case implementations
│ └── dto/ # Data Transfer Objects
├── infrastructure/ # Frameworks and drivers
│ ├── adapters/ # External service adapters
│ │ ├── nhl/ # NHL API implementation
│ │ └── yahoo_fantasy/ # Yahoo Fantasy API implementation
│ ├── database/ # Database models and repositories
│ └── config/ # Configuration management
└── presentation/ # Interface adapters
└── api/ # FastAPI routes and controllers
Key Design Principles
- Dependency Inversion: Core business logic depends on abstractions, not implementations
- Separation of Concerns: Each layer has a single, well-defined responsibility
- Testability: Business logic can be tested without external dependencies
- Swappable Adapters: Data sources (NHL API, Yahoo Fantasy API) can be replaced without changing business logic
Technology Stack
- Framework: FastAPI
- Database: PostgreSQL
- Language: Python 3.11+
- Data Sources:
- NHL Unofficial API (via nhl-api-py)
- Yahoo Fantasy Sports API (via yfpy)
Setup
Prerequisites
- Python 3.11 or higher
- PostgreSQL 14 or higher
- Yahoo Developer Account (for Fantasy API access)
Installation
- Clone the repository:
cd /Users/michaelsimard/dev/services/project-kempe-backend
- Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
- Install dependencies:
pip install -r requirements.txt
- Configure environment variables:
cp .env.example .env
# Edit .env with your actual credentials
- Set up the database:
# Create PostgreSQL database
createdb fantasy_hockey
# Run migrations (once implemented)
alembic upgrade head
Running the Application
Development server:
uvicorn src.presentation.api.main:app --reload --host 0.0.0.0 --port 8000
The API will be available at:
- Base URL: http://localhost:8000
- Interactive docs: http://localhost:8000/docs
- Alternative docs: http://localhost:8000/redoc
Development
Running Tests
pytest tests/ -v
pytest tests/ --cov=src --cov-report=html
Code Quality
# Format code
black src/ tests/
# Lint code
ruff check src/ tests/
# Type checking
mypy src/
Project Structure
See ARCHITECTURE.md for detailed architecture documentation.
API Documentation
Once running, visit http://localhost:8000/docs for interactive API documentation.
Description
Languages
Python
99%
Shell
1%