A data analytics platform for hydroponic setups. It visualizes and allows analysis of data covering the growth aspects of hydroponics. It creates a system that covers the data collection and automation to data storage and analysis.
- Docker: available for Ubuntu, Mac, Windows and other Linux flavors. Note that currently only Ubuntu is supported.
- Docker Compose: the official installation guide
- Python: Version 3.7 and above (Django in core)
- Secrets: Secrets have to be provided for the grafana, influxdb, postgres and web services. Templates are provided and should be modified
- DNS: DNS configuration to route the incoming requests to the appropriate services
For detailed instructions see the server setup guide.
- SMTP server: To enable user registration, credentials to an SMTP server are required. For testing purposes, the admin account may be used.
Start the complete setup with:
./start.sh
Stop the setup with:
docker-compose down
List the individual services with docker ps. Key data to the individual services:
| Name | Purpose | Port | Documentation |
|---|---|---|---|
| nginx-proxy | Reverse-proxy services | 80 | N/A |
| nginx-web | Landing page | N/A | |
| nginx-gen | Dynamically update proxy | N/A | |
| nginx-letsencrypt | Manage SSL certificates | N/A | |
| core | User management | 8000 | readme |
| grafana | Time series analysis | 3000 | readme |
| postgres | User storage | 5432 | N/A |
| influxdb | Time series storage | 8086 | N/A |
| redis | Async task storage | N/A |
The data is stored in volumes. List all active volumes with docker volume ls. To access Grafana, visit localhost:3000 after starting the services. The admin login credentials are defined in web/secrets.flask.