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
| Table of Contents |
|---|
Install
The easiest way to install vss-cli is to use pip:
| Code Block |
|---|
pip install vss-cli |
or, if you are not installing in a virtual environment:
| Code Block |
|---|
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:
| Code Block |
|---|
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:
| Code Block |
|---|
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
| Code Block |
|---|
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:
| Code Block |
|---|
# 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:
| Code Block |
|---|
# 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:
| Code Block | ||
|---|---|---|
| ||
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.
| Code Block |
|---|
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>'}] |