Introduction
Programming libraries wrapping the ITS Private Cloud API.
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VSS Command Line Interface (vss-cli)
The VSS Command Line Interface is a unified tool to manage your ITS Private Cloud services.
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Install
The easiest way to install vss-cli is to use pip:
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pip install vssclivss-cli |
or, if you are not installing in a virtualenvvirtual environment:
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sudo pip install vsscli --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 Username []: foo 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/vssclivss-cli sh / # vss-cli configure Username [ Endpoint [https://cloud-api.eis.utoronto.ca]: Endpoint Name [cloud-api]: jmUsername: username Password: Repeat for confirmation: Successfully writtenconfigured configurationcredentials filefor https:/root/.vss/config.json/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:
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# pip virtualenvpython3 -m venv ~/VirtualEnvsvenvs/pyvss . ~/VirtualEnvs/pyvss/activate pippip3 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:
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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>'}] |