# Open-Meteo Coordinates Service

A FastAPI-based microservice that queries the Open-Meteo Geocoding API to retrieve coordinates for various cities. The service includes caching, Prometheus metrics, and Grafana dashboards for monitoring.

## Features

- **RESTful API** for retrieving city coordinates
- **Intelligent caching** to reduce external API calls
- **Prometheus metrics** for observability
- **Pre-configured Grafana dashboards** with 5 panels
- **Docker Compose** setup for easy deployment

## Prerequisites

- Docker
- Docker Compose

## Quick Start

1. **Clone the repository**
   ```bash
   cd open-meteo-service
   ```

2. **Start all services**
   ```bash
   docker compose up --build
   ```

3. **Access the services**
   - API: http://localhost:8000/docs
   - Prometheus: http://localhost:9090
   - Grafana: http://localhost:3000 (admin/admin)

## API Documentation

### Endpoints

#### `GET /coordinates`
Retrieve coordinates for all configured cities.

**Response:**
```json
{
  "source": "cache",
  "data": {
    "Tel Aviv": {
      "name": "Tel Aviv",
      "latitude": 32.08088,
      "longitude": 34.78057,
      "country": "Israel"
    },
    ...
  }
}
```

#### `GET /coordinates/{city}`
Retrieve coordinates for a specific city.

**Parameters:**
- `city` (path) - City name (e.g., "Ashkelon", "London")

**Example:**
```bash
curl http://localhost:8000/coordinates/Paris
```

**Response:**
```json
{
  "source": "open-meteo",
  "data": {
    "name": "Paris",
    "latitude": 48.85341,
    "longitude": 2.3488,
    "country": "France"
  }
}
```

#### `GET /metrics`
Prometheus metrics endpoint exposing service metrics.

**Example:**
```bash
curl http://localhost:8000/metrics
```

#### `GET /healthz`
Health check endpoint.

**Response:**
```json
{
  "status": "ok"
}
```

## Metrics

The service exposes the following Prometheus metrics:

### HTTP Metrics
- **`http_requests_total`** - Counter of total HTTP requests
  - Labels: `endpoint`, `method`, `status`
  
- **`http_request_duration_seconds`** - Histogram of request durations
  - Labels: `endpoint`, `method`

### Cache Metrics
- **`coordinates_cache_hits_total`** - Counter of cache hits
- **`coordinates_cache_misses_total`** - Counter of cache misses

### External API Metrics
- **`openmeteo_api_calls_total`** - Counter of calls to Open-Meteo Geocoding API
  - Labels: `city`

## Grafana Dashboard

The pre-configured dashboard includes 5 panels:

1. **Request Rate** - Requests per second by endpoint
2. **Request Duration p95** - 95th percentile latency
3. **Cache Hits vs Misses** - Cache effectiveness
4. **Open-Meteo Calls by City** - External API usage per city
5. **Requests by Status** - HTTP status code distribution

Access the dashboard at http://localhost:3000 after logging in with `admin/admin`.

## Caching

The service uses a local JSON file (`coordinates_cache.json`) to cache city coordinates:
- Reduces external API calls
- Shared across all API endpoints
- Persists between requests (not container restarts)
- Automatically updated when new cities are queried

## Development

### Project Structure
```
.
├── app/
│   ├── main.py          # FastAPI application
│   ├── service.py       # Business logic & caching
│   └── metrics.py       # Prometheus metrics definitions
├── grafana/
│   ├── provisioning/    # Auto-configured datasources & dashboards
│   └── dashboards/      # Dashboard JSON definitions
├── docker-compose.yml   # Service orchestration
├── Dockerfile           # Python app container
├── prometheus.yml       # Prometheus scrape configuration
└── requirements.txt     # Python dependencies
```

### Stop Services
```bash
docker compose down
```

### View Logs
```bash
docker compose logs -f open-meteo-service
```

### Rebuild After Code Changes
```bash
docker compose up --build
```

## Configuration

### Environment Variables
- `CACHE_FILE` - Path to cache file (default: `coordinates_cache.json`)

### Scrape Interval
Edit `prometheus.yml` to adjust the scrape interval (default: 15s).

## Testing

Generate test traffic to populate metrics:
```bash
# Test all endpoints
curl http://localhost:8000/coordinates
curl http://localhost:8000/coordinates/Paris
curl http://localhost:8000/coordinates/London

# Generate load
for i in {1..10}; do curl -s http://localhost:8000/coordinates > /dev/null; done
```

## License

MIT