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A Colorful AWS SDK wrapper for Python

Project description

pinkboto

A Colorful AWS SDK wrapper for Python

Current version at PyPI Supported Python Versions Software status PyPI - Downloads

Install

pip install pinkboto

Usage

import pinkboto
aws = pinkboto.aws(profile='production', region='us-east-1') 
selector = {'resource': 'aws_db_instance'}
projection = ['DBInstanceIdentifier', 'Endpoint']
rds = aws.find(selector, projection)

Caching

By default, pinkboto caching all requests with 120 seconds lifespan.

To disable:

aws = pinkboto.aws(profile='production', region='us-east-1', cache=False)

To modify lifespan to 1 hour:

aws = pinkboto.aws(profile='production', region='us-east-1', cache=3600)

AWS Lambda usage

When using pinkboto in an AWS Lambda it is important to change the cache folder to the /tmp writable folder.

aws = pinkboto.aws(profile='production', region='us-east-1', cache=3600, cache_folder='/tmp/pinkboto')

Subfield projection

You can access a subfield in projection. For example 'Endpoint.Address' in rds

rds = aws.find({'resource': 'aws_db_instance'}, ['Endpoint.Address', 'AvailabilityZone'])

CSV output

pinkboto.to_csv(rds, 'result.csv')

pypi package publish

update setup.py version.
python3 setup.py sdist
twine upload dist/pinkboto-${new-version}.tar.gz

Contributing

Pull requests for new features, bug fixes, and suggestions are welcome!

License

GNU General Public License v3 (GPLv3)

Developer install requirements

pre-commit install

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