This package simplifies interfacing with the Rockland Cloud, which is used for processing in situ data from microstructure gliders.

This package uses requests for HTTP requests and xarray with netcdf4 to write data.

Install with pip:

pip install git+https://github.com/mousebrains/RocklandAPI.git

After installation you will have acess to the command line interface (CLI), e.g.

rapi project list
rapi download --directory="save_to" PROJ

By default, configuration files are stored in ~/.config/Rockland

If the file credentials.yaml does not exist in the configuration directory, you will be prompted for a username, password, and organization.

To create a project use:

rapi project create probar "Probar un proyecto" 123

To list existing projects use:

rapi project list

This project is still in development. To enable debugging, use the --debug option, e.g.

rapi --debug project delete probar

rapi may also be used in a scipt, e.g.

from pathlib import Path
from rapi import RAPI

project = "probar"
data_dir = Path("Dockserver/glider/from-glider")
save_dir = Path("out")

parser = RAPI.mkParser()

# Upload one by one
mri_files = data_dir.glob("*.mri")
for file in mri_files:
    print(f"Uploading {file.name}")
    # Recreate command line argument
    args = parser.parse_args(["upload", project, str(file)])
    RAPI.run(args)

The API requires some non-standard python packages, such as requests. These can be installed into a conda environment using: conda env create -f environment.yml