Skip to main content

A parser for HCL2

Project description

Codacy Badge Build Status License PyPI Python Versions Downloads

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

pip3 install python-hcl2

Usage

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

Parse Tree to HCL2 reconstruction

With version 6.x the possibility of HCL2 reconstruction from the Lark Parse Tree and Python dictionaries directly was introduced.

Documentation and an example of manipulating Lark Parse Tree and reconstructing it back into valid HCL2 can be found in tree-to-hcl2-reconstruction.md file.

More details about reconstruction implementation can be found in PRs #169 and #177.

Building From Source

For development, tox>=4.0.9 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.

Releasing

To create a new release go to Releases page, press 'Draft a new release', create a tag with a version you want to be released, fill the release notes and press 'Publish release'. Github actions will take care of publishing it to PyPi.

Responsible Disclosure

If you have any security issue to report, contact project maintainers privately. You can reach us at mailto:github@amplify.com

Contributing

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

  • For any sizable change, first open a GitHub issue to discuss your idea.
  • 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.

Limitations

Using inline expression as an object key

  • Object key can be an expression as long as it is wrapped in parentheses:
    locals {
      foo = "bar"
      baz = {
        (format("key_prefix_%s", local.foo)) : "value"
        # format("key_prefix_%s", local.foo) : "value" this will fail
      }
    }
    

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

python_hcl2-7.2.0.tar.gz (33.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

python_hcl2-7.2.0-py3-none-any.whl (21.6 kB view details)

Uploaded Python 3

File details

Details for the file python_hcl2-7.2.0.tar.gz.

File metadata

  • Download URL: python_hcl2-7.2.0.tar.gz
  • Upload date:
  • Size: 33.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for python_hcl2-7.2.0.tar.gz
Algorithm Hash digest
SHA256 4a25f576b646cc6361471ae4a0120763c1e2858df231fbd860141f12c7d40bc2
MD5 95c7e5c17c65824a1a854023215ef6b2
BLAKE2b-256 7049d79b79cb3fe3fb433396df31e766542d26b5777532afc090ecb291dfa299

See more details on using hashes here.

File details

Details for the file python_hcl2-7.2.0-py3-none-any.whl.

File metadata

  • Download URL: python_hcl2-7.2.0-py3-none-any.whl
  • Upload date:
  • Size: 21.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for python_hcl2-7.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5c9d527678100b5c0f182dcdf1cb0191344a389a7c15729030e1e857beab4d5f
MD5 9d195ba4e057920df37036652978e857
BLAKE2b-256 3bfbba0d84e7cbceffaed7d1a942f175f23121f10a81773d15ebbf11c80c501b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page