A Python library for working with the AWS Price List Query API.
As of version 2.0.0, awspricing uses boto3 Price List Query API. This requires Price List Query API IAM roles: https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/billing-permissions-ref.html#example-policy-pe-api
Versions before 2.0.0 utilized AWS Price Offer files.
Features:
- Service-specific helpers (only EC2 and RDS thus far)
- Local caching support
$ pip install awspricing
import awspricing
ec2_offer = awspricing.offer('AmazonEC2')
ec2_offer.search_skus(
instance_type='c4.large',
location='US East (N. Virginia)',
operating_system='Linux',
) # {'4C7N4APU9GEUZ6H6', 'MBQPYDJSY3BY84BH', 'MDKVAJXMJGZFDJUE'}
ec2_offer.reserved_hourly(
'c4.xlarge',
operating_system='Linux',
lease_contract_length='3yr',
offering_class='convertible',
purchase_option='Partial Upfront',
region='us-east-1'
) # 0.10845205479452055
rds_offer = awspricing.offer('AmazonRDS')
rds_offer.search_skus(
instance_type='db.m4.large',
location='US East (N. Virginia)',
database_engine='MySQL',
license_model='No license required',
deployment_option='Multi-AZ'
) # {'QPZNR6MYN432XTPU'}
rds_offer.ondemand_hourly(
'db.m4.large',
'MySQL',
license_model='No license required',
deployment_option='Multi-AZ',
region='us-east-1'
) # 0.35
Note : AWS provides the pricing list in json format with no warranty of format change. If a format change by AWS causes a breaking change; the below mitigation can be used at the cost of "stale" pricing.
import awspricing
# For finding EC2 price list versions see script below or download https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/index.json
ec2_offer_old = awspricing.offer('AmazonEC2', version='some_other_version')
# For finding RDS price list versions see script below or download https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonRDS/index.json
rds_offer_old = awspricing.offer('AmazonRDS', version='some_other_version')
$ # EC2
$ curl https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/index.json | python -m json.tool
$ # RDS
$ curl https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonRDS/index.json | python -m json.tool
Cache can be configured via the following environment variables:
AWSPRICING_USE_CACHE
: Whether to use a simple file-based cache. Valid values are 0|1
. Defaults to 0
(false).
AWSPRICING_CACHE_PATH
: Prefix to write cache files. Defaults to /tmp/awspricing
.
AWSPRICING_CACHE_MINUTES
: Number of minutes to keep cache for. Defaults to 1440
(1 day).
Run the following commands (preferably in a virtualenv) to setup your environment:
Simply run make test after environment setup to run unit tests.
The following commands can be used to run type checks. Note that a python3
interpreter is required for mypy.
pip install mypy
make test_mypy