pyvultr 0.1.2

Python library for Vultr API

Python Library for Vultr API

The unofficial python library for the Vultr API.

Installation

pip install -U pyvultr

Usage

Configuration

from pyvultr import VultrV2

# set your api key or we'll get it from env `VULTR_API_KEY`
VULTR_API_KEY = '...'

v2 = VultrV2(api_key=VULTR_API_KEY)

Get Account

account = v2.account.get()
print(account)

List Region

regions: VultrPagination[BackupItem] = v2.region.list()

# Here `regions` is a VultrPagination object, you can use it like list, eg: get by index or slice.
# VultrPagination will help you automatically get the next page when you need it.

print(regions[3:5])
# >>> [RegionItem(id='dfw', country='US', options=['ddos_protection'], continent='North America', city='Dallas'), RegionItem(id='ewr', country='US', options=['ddos_protection', 'block_storage'], continent='North America', city='New Jersey')]

print(regions[12])
# >>> RegionItem(id='ord', country='US', options=['ddos_protection'], continent='North America', city='Chicago')

# Of course you can use `for` to iterate all items.
# But be careful, it will cause a lot of requests if it's has a lot of data.
for region in regions:
    print(region)

# A smarter way to iterate is to determine the number of iterations you want.
smart_regions: VultrPagination[RegionItem] = v2.region.list(capacity=3)
for region in smart_regions:
    print(region)
# >>> RegionItem(id='ams', country='NL', options=['ddos_protection'], continent='Europe', city='Amsterdam')
# >>> RegionItem(id='atl', country='US', options=['ddos_protection'], continent='North America', city='Atlanta')
# >>> RegionItem(id='cdg', country='FR', options=['ddos_protection'], continent='Europe', city='Paris')

# At last, you can get all data just like calling attributes (better programming experience if you use IDE):
first_region: RegionItem = regions.first()
print(first_region.country, first_region.city)
# >>> NL Amsterdam

Testing

python -m pytest -v