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Project Description

Amazon Web Services CloudFormation templates, generated with Python!

Where to get it

Intended Audience

pyplates are intended to be used with the Amazon Web Services CloudFormation service. If you’re already a CloudFormation (CFN) user, chances are good that you’ve already come up with fun and interesting ways of generating valid CFN templates. pyplates are a way to make those templates while leveraging all of the power that the python environment has to offer.

What is a pyplate?

A pyplate is a class-based python representation of a JSON CloudFormation template and resources, with the goal of generating cloudformation templates based on input python templates (pyplates!) that reflect the cloudformation template hierarchy.

Features

  • Allows for easy customization of templates at runtime, allowing one pyplate to describe all of your CFN Stack roles (production, testing, dev, staging, etc).
  • Lets you put comments right in the template!
  • Supports all required elements of a CFN template, such as Parameters, Resources, Outputs, etc.)
  • Supports all intrinsic CFN functions, such as base64, get_att, ref, etc.
  • Converts intuitiviely-written python dictionaries into JSON templates, without having to worry about nesting or order-of-operations issues.
Release History

Release History

0.6.0

This version

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0.5.1

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0.5.0

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.4.3

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0.4.2

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Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.3.0

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Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.2.1

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.2

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.1

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
cfn_pyplates-0.6.0-py2.7.egg (31.9 kB) Copy SHA256 Checksum SHA256 2.7 Egg Mar 13, 2016
cfn-pyplates-0.6.0.tar.gz (41.8 kB) Copy SHA256 Checksum SHA256 Source Mar 13, 2016

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