# HeatGuard

Personalized heat preparedness for your home. HeatGuard analyzes your living spaces, fetches weather forecasts, and generates hour-by-hour action plans to keep you safe during heat events.

![License](https://img.shields.io/badge/license-GPL--3.0-blue)

## Features

- **Room-level heat budget analysis** — models internal gains (devices, occupants), solar gains, ventilation, and AC capacity per room
- **Risk assessment** — 4-tier risk levels (low/moderate/high/extreme) with time windows
- **24h SVG temperature timeline** — color-coded area chart with budget status strip
- **Weather integration** — Open-Meteo forecasts + DWD severe weather warnings
- **AI summary** — optional LLM-powered 3-bullet daily briefing (Anthropic, OpenAI, Gemini)
- **Care checklist** — automatic reminders when vulnerable occupants are present
- **Multilingual** — English and German, switchable in-app
- **Privacy-first** — all user data stays in the browser (IndexedDB), server is stateless

## Architecture

```
Browser (IndexedDB)          Go Server (stateless)
┌─────────────────┐         ┌──────────────────────┐
│ Profiles, Rooms │  JSON   │ /api/compute/dashboard│
│ Devices, AC     │────────>│ /api/weather/forecast │
│ Forecasts       │<────────│ /api/weather/warnings │
│ LLM Settings    │         │ /api/llm/summarize    │
└─────────────────┘         └──────────────────────┘
```

The Go server embeds all web assets (templates, JS, CSS, i18n) and serves them directly. No database on the server — all user data lives in the browser's IndexedDB.

## Quick Start

### Prerequisites

- Go 1.23+
- Node.js 18+ (for Tailwind CSS build)

### Build & Run

```bash
# Install frontend dependencies
npm install

# Build (compiles CSS + Go binary)
make build

# Run
./bin/heatguard
```

Open [http://localhost:8080](http://localhost:8080) in your browser.

### Development Mode

```bash
make dev
```

Serves files from the filesystem (hot-reload templates/JS) on port 8080.

## Configuration

HeatGuard works out of the box with zero configuration. Optional server-side config for LLM:

```yaml
# ~/.config/heatwave/config.yaml
llm:
  provider: anthropic  # anthropic | openai | ollama | none
  model: claude-sonnet-4-5-20250929
  # endpoint: http://localhost:11434  # for ollama
```

API keys for LLM providers can also be configured directly in the browser under **Setup > AI Summary**, stored locally in IndexedDB.

### CLI Flags

| Flag | Default | Description |
|------|---------|-------------|
| `-port` | `8080` | HTTP listen port |
| `-dev` | `false` | Development mode (serve from filesystem) |

## Deploy

### Standalone Binary

```bash
make build
./bin/heatguard -port 3000
```

The binary is fully self-contained — all web assets are embedded. Copy it to any Linux server and run.

### Systemd Service

```ini
# /etc/systemd/system/heatguard.service
[Unit]
Description=HeatGuard heat preparedness server
After=network.target

[Service]
Type=simple
User=heatguard
ExecStart=/opt/heatguard/heatguard -port 8080
Restart=on-failure
RestartSec=5

[Install]
WantedBy=multi-user.target
```

```bash
sudo systemctl daemon-reload
sudo systemctl enable --now heatguard
```

### Behind a Reverse Proxy (nginx)

```nginx
server {
    listen 443 ssl;
    server_name heatguard.example.com;

    ssl_certificate     /etc/letsencrypt/live/heatguard.example.com/fullchain.pem;
    ssl_certificate_key /etc/letsencrypt/live/heatguard.example.com/privkey.pem;

    location / {
        proxy_pass http://127.0.0.1:8080;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }
}
```

### Docker

```dockerfile
FROM golang:1.23-alpine AS build
RUN apk add --no-cache nodejs npm
WORKDIR /src
COPY . .
RUN npm install && make build

FROM alpine:3.20
COPY --from=build /src/bin/heatguard /usr/local/bin/
EXPOSE 8080
ENTRYPOINT ["heatguard"]
```

```bash
docker build -t heatguard .
docker run -d -p 8080:8080 heatguard
```

## Usage Workflow

1. **Create a profile** — name + coordinates (auto-detect via browser geolocation)
2. **Add rooms** — area, orientation, windows, insulation, indoor target temp
3. **Add devices & occupants** — heat-producing equipment and people per room
4. **Configure AC units** — capacity, type, room assignments
5. **Fetch forecast** — pulls 3-day hourly weather data
6. **View dashboard** — risk level, temperature timeline, room budgets, care checklist

## Development

```bash
make test    # run all tests with race detector
make build   # build CSS + binary
make dev     # run in dev mode
make clean   # remove build artifacts
```

## License

[GPL-3.0](LICENSE)