NebulaPythonSDK 2.0.0a1

NebulaPythonSDK is a Pythonic SDK to manage Nebula container orchestrator

Nebula-Python-SDK

An SDK for managing nebula via python.

translates all of Nebula API calls to something more pythonic.

How To Use

first get NebulaPythonSDK onto your machine

# Install from PyPi
pip install NebulaPythonSDK

now use it in your code

# Load API wrapper from library
from NebulaPythonSDK import Nebula

# Create API object.
# port defaults to 80, protocol defaults to "http" & request_timeout defaults to 60 if any of them is not set.
connection = Nebula(username="your_nebula_user", password="your_nebula_pass", host="nebula.example.com", port=80, protocol="http", request_timeout=60)

# List apps
app_list = connection.list_apps()

# List app info
app_config = connection.list_app_info("app_name")

# Create app
app_conf = {
    "containers_per_cpu": 8,
    "env_vars": {
        "test": "blabla",
        "test3t2t32": "tesg4ehgee"
    },
    "docker_ulimits": [],
    "networks": ["nebula"],
    "running": True,
    "rolling_restart": False,
    "volumes": ["/tmp:/tmp/1", "/var/tmp/:/var/tmp/1:ro"],
    "containers_per": {
        "cpu": 6
    },
    "starting_ports": [
        {
            "81": 80
        }
    ],
    "docker_image": "httpd",
    "privileged": False,
    "devices": []
}
connection.create_app("app_name", app_conf)

# create device group
# TODO - add example of create a device_group

# list device group info
# TODO - add example of listing a device group info

Note that the response returned is a requests formatted response.

NOTE THIS IS A POC BRANCH WHICH RADICALLY BREAKS EVERYTHING AND IS DESIGNED TO IMPLEMENT A NEW COMMUNICATION METHOD based around monotonic ID's (inspired by Kafka) inside the API and memoization rather then using RabbitMQ.