Libraries

Owned by JM Lopez
Last updated: Nov 21, 2019

Introduction

Programming libraries wrapping the ITS Private Cloud API.

VSS Command Line Interface (vss-cli)

The VSS Command Line Interface is a unified tool to manage your ITS Private Cloud services.

Table of Contents

Install

The easiest way to install vss-cli is to use pip:

pip install vss-cli

or, if you are not installing in a virtual environment:

pip install --user vss-cli

This will install the vss-cli package as well as all dependencies. You can also just download tarball.

Once you have the vsscli directory structure on your workstation, you can just run:

cd <path_to_vsscli>
python setup.py install

Usage

Before using vss-cli, you need to tell it about your VSS credentials. You can do this in a couple of ways:

  • Environment variables
  • Config file

The quickest way to get started is to run the vss-cli configure mk command:

vss configure mk

Endpoint [https://cloud-api.eis.utoronto.ca]:
Endpoint Name [cloud-api]:
Username: username
Password:
Repeat for confirmation:
Successfully configured credentials for https://cloud-api.eis.utoronto.ca.
You are ready to use the vss-cli

Docker

docker run -it -v ~/:/root/ -v ~/Downloads:/data uofteis/vss-cli sh
/ # vss-cli configure
Endpoint [https://cloud-api.eis.utoronto.ca]:
Endpoint Name [cloud-api]:
Username: username
Password:
Repeat for confirmation:
Successfully configured credentials for https://cloud-api.eis.utoronto.ca.
You are ready to use the vss-cli

For more information, please take a look at the GitLab repo or PyPI.

Python client for the ITS Private Cloud API 

 The python client allows you to interact with the API using self-descriptive methods.

Install

Installing the library is quite simple. Either clone the GitLab repository or download the source code or use pip to do everything for you:

# pip
python3 -m venv ~/venvs/pyvss
. ~/VirtualEnvs/pyvss/activate
pip3 install pyvss
 
# git
git clone https://gitlab.eis.utoronto.ca/vss/py-vss
cd py-vss
python setup.py install

Docker

If you prefer running your scripts in a docker container, the uofteis/pyvss image is the solution. It's based on Alpine Linux with Python 2.7.12 and works as follows:

# with access token
docker run -it -v .:/data -e VSS_API_TOKEN=token_here uofteis/pyvss

# user and pass
docker run -it -v .:/data -e VSS_API_USER=user_here -e VSS_API_USER_PASS=user_pass_here uofteis/pyvss

# env file containing either VSS_API_USER and VSS_API_USER_PASS or VSS_API_TOKEN
docker run -it -v .:/data --env-file vss.env uofteis/pyvss


Usage

Creating a virtual machine is as easy as calling the create_vm method as follows:

from pyvss.manager import VssManager 

vss = VssManager(tk='api_token')
 
# get vms
vms = vss.get_vms()
 
# create vm
req = vss.create_vm(os='ubuntu64Guest', built='os_install', 
                    description='Testing python wrapper', 
                    folder='group-v6736', client='EIS', disks=[100, 100])
uuid = vss.wait_for_request(req['_links']['request'], 'vm_uuid', 'Processed')

By setting the VSS_API_TOKEN environment variable and then executing the manager.py script and using as input args the function name followed by any parameters, the response is displayed to stdout.

python pyvss/manager.py get_vms 'summary=1&name=pm'
[{u'_links': {u'self': u'https://vss-api.eis.utoronto.ca:8001/v2/vm/<vm_uuid>'},
  u'cpuCount': 2,
  u'folder': {u'_links': {u'self': u'https://vss-api.eis.utoronto.ca:8001/v2/folder/group-v519'},
              u'moref': u'group-v519',
              u'name': u'Public',
              u'parent': u'API'},
  u'guestFullName': u'Ubuntu Linux (64-bit)',
  u'ipAddress': u'<ip_addr>',
  u'memoryMB': 4096,
  u'name': u'1502P-pm',
  u'overallStatus': u'green',
  u'powerState': u'poweredOn',
  u'storageB': 96637166467,
  u'uuid': u'<vm_uuid>'}]