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Notice

This is a fork of the Python HCL2 repo by Amplify and is officially supported by Bridgecrew. We contributed as much as possible to the upstream project, but the two projects are now deviating in a way that pushing new changes upstream doesn't make sense anymore.

Python HCL2

A parser for HCL2 written in Python using Lark. This parser only supports HCL2 and isn't backwards compatible with HCL v1. It can be used to parse any HCL2 config file such as Terraform.

About Amplify

Amplify builds innovative and compelling digital educational products that empower teachers and students across the country. We have a long history as the leading innovator in K-12 education - and have been described as the best tech company in education and the best education company in tech. While others try to shrink the learning experience into
the technology, we use technology to expand what is possible in real classrooms with real students and teachers.

Learn more at https://www.amplify.com

Getting Started

Prerequisites

python-hcl2 requires Python 3.7 or higher to run.

Installing

This package can be installed using pip

pip install bc-python-hcl2

Usage

import hcl2
with open('foo.tf', 'r') as file:
    dict = hcl2.load(file)

Building From Source

For development, tox>=2.9.1 is recommended.

Running Tests

python-hcl2 uses tox. You will need to install tox with pip install tox. Running tox will automatically execute linters as well as the unit tests.

You can also run them individually with the -e argument.

For example, tox -e py37-unit will run the unit tests for python 3.7

To see all the available options, run tox -l.

Responsible Disclosure

If you have any security issue to report, contact project maintainers privately. You can reach us at mailto:[email protected]

Contributing

We welcome pull requests! For your pull request to be accepted smoothly, we suggest that you:

  1. For any sizable change, first open a GitHub issue to discuss your idea.
  2. Create a pull request. Explain why you want to make the change and what it’s for.

We’ll try to answer any PR’s promptly.

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  • Python 72.2%
  • HCL 24.5%
  • Shell 3.3%