# Energy Trading Backend

FastAPI backend for the energy trading system with ML model support.

## Setup

```bash
cd backend
pip install -r requirements.txt
cp .env.example .env
```

## Running

```bash
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
```

## API Documentation

- Swagger UI: http://localhost:8000/docs
- ReDoc: http://localhost:8000/redoc

## Project Structure

```
backend/
├── app/
│   ├── api/              # API routes and WebSocket
│   ├── services/         # Business logic services
│   ├── tasks/            # Background tasks
│   ├── ml/               # ML models and training
│   ├── models/           # Pydantic models
│   └── utils/            # Utilities
├── models/               # Trained models
├── results/              # Backtest results
└── tests/                # Tests
```

## Training ML Models

```bash
# Train price prediction models
python -m app.ml.training.cli price --horizons 1 5 15 60

# Train RL battery policy
python -m app.ml.training.cli rl --episodes 1000
```

## Running Tests

```bash
pytest
```