NOTE - this project is very much geared towards my setup. You may find you need to make adjustments. I have only tested this on MacOSX

For production running, we also require an S3 bucket and Redis for caching.

Development setup

It's recommended you use virtualenvwrapper You will also need a locally running postgres database running. You will also need to install timescale db, as we rely on it for timeseries related queries. Some documentation can be found here. Presuming you are using those tools, getting started on this project is pretty straightforward:

$ mkproject --force --python=3.11 garden-server
$ workon gardenserver
$ make reset

You can now run the development server:

$ python manage.py runserver

Usage

Login as [email protected] with password password, and you should be able to get started. You can create new plants to be tracked with at: 127.0.0.1:8000/plants/create/

You can then post data points to: 127.0.0.1:8000/api/plant-data/ With data, like:

{"plant": 1, "sensor": 1, "data": "YOUR DATA HERE - MUST BE A NUMBER!"}

And view charts at: 127.0.0.1:8000/plants/chart/{id}/