this project is in ALPHA, beware!
Spin up redis locally, you could do:
$ docker run --rm -n redis -d -p 6739:6379 redis
Install deps
$ python -m venv ./env_angle_grinder
$ source env_angle_grinder/bin/activate
$ pip install -r requirements.txt
Start the server by running:
uvicorn main:app --reload
Load your dataset into a zarr store using the api directly! Configure redis host and port using envvars REDIS_HOST and REDIS_PORT
to load data run the following replacing the contrived names with actual names you want
curl -X POST -F netcdf_file=@PATH_TO_FILE.nc http://localhost:8000/TEST_DATA_NAME/load_netcdf
hit the endpoints with your web browser or curl! e.g.
go to http://localhost:8000/docs for full api reference documentation.
go to http://localhost:8000/my_test_data/variables to get a list of variables
go to http://localhost:8000/my_test_data/var_name/4/3/1.png for a z,x,y tile on your data and var... or visit http://localhost:8000/my_test_data/var_name/4/3/1.json for corresponding metadata
to colorize add a query param my_test_data/var_name/4/3/1.png?colorize=COLOR_MAP_NAME per the available color schemes in "colormap.py"