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**Aggregates play counts, filters duplicates, sorts your top tracks, and serves a clean, mobile-responsive HTML page via Nginx.**
## Features
- 🕒 **All-Time Stats**: Aggregates total play counts and tracks the most recent timestamp for every song played.
- 👥 **Multi-User Support**: Automatically detects all registered Navidrome users and creates individual cards for each.
- 🧠 **Smart Sorting**: Ordered by total plays (descending), then last played date, then alphabetically by artist name.
- 📱 **Fully Responsive**: Adapts cleanly to wide desktop screens and stacks vertically on mobile devices.
- ⚡ **Zero Heavy Dependencies**: Runs entirely via standard Python libraries and a lightweight Nginx container.
- All-Time Stats: Aggregates total play counts and tracks the most recent timestamp for every song played.
- Multi-User Support: Automatically detects all registered Navidrome users and creates individual cards for each.
- Smart Sorting: Ordered by total plays (descending), then last played date, then alphabetically by artist name.
- Fully Responsive: Adapts cleanly to wide desktop screens and stacks vertically on mobile devices.
- Zero Heavy Dependencies: Runs entirely via standard Python libraries and a lightweight Nginx container.
## Setup & Instructions
### 1. Repository Structure
Ensure you have your project directory set up with your two files:<br>
Ensure you have your project directory set up with your files:
your-dashboard-folder/<br>
├── dashboard.py<br>
└── docker-compose.yml
├── listener.py<br>
├── docker-compose.yml<br>
└── public/<br>
And make sure you have an empty public directory for the generated HTML output:
`mkdir -p public`
Create the public directory if it doesn't exist:
```bash
mkdir -p public
```
### 2. Generate the Dashboard HTML
You can run the Python script on-demand using a temporary Python container.
Mount your project folder to /app and your Navidrome data directory to /nddata:<br>
Mount your project folder to `/app` and your Navidrome data directory to `/nddata`:
`docker run --rm -v $(pwd):/app -v /path/to/your/navidrome/data:/nddata -e NAVIDROME_DB_PATH="/nddata/navidrome.db" -e OUTPUT_HTML_PATH="/app/public/index.html" python:3.11-slim python /app/dashboard.py`
```bash
docker run --rm -v $(pwd):/app -v /path/to/your/navidrome/data:/nddata python:3.11-slim python /app/dashboard.py
```
### 3. Start the Web Server
Spin up the Nginx container using Docker Compose:
`docker compose up -d`
```bash
docker compose up -d
```
You can now view your dashboard in your browser at `http://<your-server-ip>:8081`.
### Automation (Crontab)
To keep the dashboard updated automatically, you can add a cron job on your host machine to regenerate the HTML page once a day at midnight.
## Background Services & Automation
### 1. HTTP Listener (Systemd Service)
To power the "Regenerate Stats" button directly from the dashboard web UI, `listener.py` runs a lightweight HTTP server on port `8083` that triggers the update command when called.
You can set this up as a persistent systemd service so it starts automatically on boot:
1. Create the systemd service file:
```bash
sudo nano /etc/systemd/system/dashboard-listener.service
```
2. Add the following configuration (make sure to replace `/home/username/dashboard` and `User=username` with your actual system path and username):
```ini
[Unit]
Description=Dashboard Refresh Listener
After=network.target docker.service
[Service]
User=username
WorkingDirectory=/home/username/dashboard
ExecStart=/usr/bin/python3 /home/username/dashboard/listener.py
Restart=always
[Install]
WantedBy=multi-user.target
```
3. Enable and start the service:
```bash
sudo systemctl daemon-reload
sudo systemctl enable dashboard-listener
sudo systemctl start dashboard-listener
```
### 2. Daily Cron Job (Optional)
To keep the dashboard updated automatically once a day at midnight, you can add a cron job on your host machine.
Open your crontab editor:
`crontab -e`
```bash
crontab -e
```
Add the following line (making sure to replace `/home/username/dashboard` with your absolute project path and `/path/to/your/navidrome/data` with your actual Navidrome data path):
Add the following line (making sure to replace paths with your absolute project path and actual Navidrome data path):
`0 0 * * * docker run --rm -v /home/username/dashboard:/app -v /path/to/your/navidrome/data:/nddata -e NAVIDROME_DB_PATH="/nddata/navidrome.db" -e OUTPUT_HTML_PATH="/app/public/index.html" python:3.11-slim python /app/dashboard.py`
```bash
0 0 * * * docker run --rm -v /home/username/dashboard:/app -v /path/to/your/navidrome/data:/nddata python:3.11-slim python /app/dashboard.py
```
---
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