✨ What Was Created

Complete REST API infrastructure for serving your trained RL models with full Docker integration.

📁 Directory Structure

ai-traffic-api/
├── rl-inference-service/
│   ├── app/
│   │   ├── main.py                         # FastAPI application with model loading
│   │   ├── models/                         # Directory for trained models (create structure)
│   │   └── __init__.py                     # Package init
│   ├── Dockerfile                          # Python service container
│   ├── requirements.txt                    # Python dependencies
│   └── .env.example                        # Environment variables template
├── java-api-gateway/
│   ├── src/main/
│   │   ├── java/com/example/gateway/
│   │   │   ├── GatewayApplication.java     # Spring Boot entry point
│   │   │   ├── controller/
│   │   │   │   └── TrafficController.java  # Traffic API endpoints
│   │   │   └── service/
│   │   │       └── RlInferenceClient.java  # Python service client
│   │   └── resources/
│   │       └── application.properties      # Spring configuration
│   ├── pom.xml                             # Maven configuration
│   └── Dockerfile                          # Java service container
├── docker-compose.yml                      # Multi-service orchestration
├── select_model.py                         # Interactive model selector
├── test_api.py                             # API test client
├── start.bat                               # Windows startup script
├── start.sh                                # Linux/Mac startup script
├── QUICKSTART.md                           # 5-minute setup guide
├── README.md                               # Full documentation
└── .gitignore                              # Git ignore rules