Environmental Networked Sensing (ENTS) backend is part of the ENTS hardware and software ecosystem for outdoor sensor networks. It's an open source data ingestion and visualization service that parses data from the hardware nodes and presents it in an easy-to-use web interface. Users can dynamically generate interactive plots, live monitor their sensors, or download data for offline processing. Our live version, DirtViz, is available at https://dirtviz.jlab.ucsc.edu/.
| Dependency |
|---|
| Python |
| Node |
| Docker |
cp .env.example .env
docker compose up --build -dFor developers see docs/development.md for how to get started and CONTRIBUTING.md for PR requirements.
For bugs refer to bug_template.md. For other issues, create an new issue in this repository.
For documentation on the backend, refer to backend readme
To start contributing to the ENTS backend, please read CONTRIBUTING.md
Here's a list of good first issues to get yourself familiar with the ENTS backend. Comment in the issue to pick it up, and feel free to ask any questions!
To keep in communication, we use Zulip! Feel free to join and ask questions.
There exists csv importers that can be used to populate the database. Python utilities currently exist to import RocketLogger and TEROS data. These are available as modules under the backend folder. More information on used can be found by running the modules with the --help flag.
python -m backend.api.database.utils.import_cell_data- Alec Levy aleclevy
- Aaron Wu aaron-wu1
- John Madden jmadden173