# Docker Setup

This project includes Docker configuration for easy deployment and monitoring.

## Services

- **FastAPI App** (port 8000): Main ML API
- **Prometheus** (port 9090): Metrics collection
- **Grafana** (port 3000): Visualization dashboards

## Quick Start

### 1. Build and Start

```bash
docker-compose up -d
```

### 2. Access Services

- API: http://localhost:8000
- API Docs: http://localhost:8000/docs
- Prometheus: http://localhost:9090
- Grafana: http://localhost:3000 (admin/admin)

### 3. Stop Services

```bash
docker-compose down
```

## Useful Commands

```bash
# View logs
docker-compose logs -f

# View app logs only
docker-compose logs -f app

# Rebuild after code changes
docker-compose up -d --build

# Stop and remove volumes
docker-compose down -v
```

## Environment Variables

Create `.env` file with:
```
MLFLOW_TRACKING_URI=your_dagshub_uri
DAGSHUB_TOKEN=your_token
```

## Grafana Setup

1. Login to Grafana (admin/admin)
2. Datasources are auto-configured
3. Dashboards are auto-loaded

## Health Checks

```bash
# Check app health
curl http://localhost:8000/health

# Check Prometheus targets
curl http://localhost:9090/api/v1/targets
```