Introduction
Programming libraries wrapping the EIS Virtual Cloud RESTful APIthe 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
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Install
The easiest way to install vss-cli is to use pip:
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pip install vss-cli |
or, if you are not installing in a virtual environment:
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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:
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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:
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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
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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
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For more information, please take a look at the GitLab repo or PyPI.
Python client for the
EIS Virtual Cloud RESTful APIITS Private Cloud API
The python client allows you to interact with the API using self-descriptive methods.
note
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:
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# pip virtualenvpython3 -m venv ~/VirtualEnvsvenvs/pyvss . ~/VirtualEnvs/pyvss/activate pippip3 install pyvss # git git clone git@gitlabhttps://gitlab.eis.utoronto.ca:/vss/py-vss.git cd py-vss python setup.py install |
Docker
If you prefer running your scripts in a docker container, the the uofteis/pyvss image image is the solution. It's based on Alpine Linux with Python 2.7.12 and works as follows:
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# 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:
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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', bill_deptclient='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.
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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>'}] |