nebpyclient 1.0.15

The Nebulon Python SDK

Python API for Nebulon

This is an API client for Nebulon ON for Python 3 and allows working with Nebulon nPods just like with the Nebulon ON web user interface but in a scriptable form.

Installation

The Nebulon Python SDK client is available through the Python Package Index with the name nebpyclient, but can also be installed from source.

Python Package Index

pip install nebpyclient

Or

python3 -m pip install nebpyclient

Installation from Source Code

mkdir nebulon
cd nebulon
git clone https://github.com/nebulon/nebpyclient.git
cd nebpyclient
python3 setup.py install

To build the HTML documentation from source:

cd docs/
make html

Using the API

To use this API, instantiate a NebPyClient object with username and password. You can then use its methods to query state, and if a nPod is reachable from where the script is being run modify the system. A simple script to display the names of all of the pods in your organization along with a count of the volumes in them would be:

from nebpyclient import NebPyClient

client = NebPyClient("username", "password")

npod_list = client.get_npods()
for npod in npod_list.items:
    print(f"nPod {npod.name} has {npod.volume_count} volumes")

An example to create a 2 TiB volume called volume name on an existing nPod with the name NPod Name would be:

from nebpyclient import NebPyClient
from nebpyclient import NPodFilter, StringFilter

client = NebPyClient("username", "password")

# find the nPod by name
npod_list = client.get_npods(
    npod_filter=NPodFilter(
        name=StringFilter(
            equals="NPod Name"       
        )   
    )
)

if npod_list.filtered_count == 0:
    # nPod with the name "NPod Name" not found
    exit(-1)

npod_uuid = npod_list.items[0].uuid
volume_name="volume name"
volume_size_bytes = 2 * 1024 * 1024 * 1024 * 1024 # 2 TiB

# create the volume
client.create_volume(
    name=volume_name,
    size_bytes=volume_size_bytes,
    npod_uuid=npod_uuid
)

Full documentation on the API is available in the docs directory. Some functions have comments that describe functions and methods and are visible in modern Python IDEs.

Please review the current version of the documentation for more details.