Metadata-Version: 2.4
Name: python-hcl2
Version: 8.1.2
Summary: A parser for HCL2
Author-email: Amplify Education <github@amplify.com>
License: MIT
Project-URL: Homepage, https://github.com/amplify-education/python-hcl2
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.8.0
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: lark<2.0,>=1.1.5
Requires-Dist: regex>=2024.4.16
Dynamic: license-file

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# Python HCL2

A parser for [HCL2](https://github.com/hashicorp/hcl/blob/hcl2/hclsyntax/spec.md) written in Python using
[Lark](https://github.com/lark-parser/lark). It can be used as a Python library or through its CLI tools:
`hcl2tojson`, `jsontohcl2`, and `hq` — a jq-like query tool for HCL files.
Supports HCL2 only (not backwards compatible with HCL v1) and works with 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 3.8 or higher to run.

### Installing

This package can be installed using `pip`

```sh
pip3 install python-hcl2
```

To install the CLI tools (`hcl2tojson`, `jsontohcl2`, `hq`) globally without affecting your project environments, use [pipx](https://pipx.pypa.io/):

```sh
pipx install python-hcl2
```

### Usage

**HCL2 to Python dict:**

```python
import hcl2

with open("main.tf") as f:
    data = hcl2.load(f)
```

**Python dict to HCL2:**

```python
import hcl2

hcl_string = hcl2.dumps(data)

with open("output.tf", "w") as f:
    hcl2.dump(data, f)
```

**Building HCL from scratch:**

```python
import hcl2

doc = hcl2.Builder()
res = doc.block("resource", labels=["aws_instance", "web"], ami="abc-123", instance_type="t2.micro")
res.block("tags", Name="HelloWorld")

hcl_string = hcl2.dumps(doc.build())
```

### Documentation

| Guide | Contents |
|---|---|
| [Getting Started](https://github.com/amplify-education/python-hcl2/blob/main/docs/01_getting_started.md) | Installation, load/dump, options, CLI converters |
| [Querying HCL (Python)](https://github.com/amplify-education/python-hcl2/blob/main/docs/02_querying.md) | DocumentView, BlockView, tree walking, view hierarchy |
| [Advanced API](https://github.com/amplify-education/python-hcl2/blob/main/docs/03_advanced_api.md) | Pipeline stages, Builder |
| [hq Reference](https://github.com/amplify-education/python-hcl2/blob/main/docs/04_hq.md) | `hq` CLI — structural queries, hybrid/eval, introspection |
| [hq Examples](https://github.com/amplify-education/python-hcl2/blob/main/docs/05_hq_examples.md) | Real-world queries for discovery, compliance, extraction |
| [Migrating to v8](https://github.com/amplify-education/python-hcl2/blob/main/docs/06_migrating_to_v8.md) | Breaking changes, updated API patterns, v7-compat options |

### CLI Tools

python-hcl2 ships three command-line tools:

```sh
# HCL2 → JSON
hcl2tojson main.tf                     # prints JSON to stdout
hcl2tojson main.tf output.json         # writes to file
hcl2tojson terraform/ output/          # converts a directory

# JSON → HCL2
jsontohcl2 output.json                 # prints HCL2 to stdout
jsontohcl2 output.json main.tf         # writes to file
jsontohcl2 output/ terraform/          # converts a directory

# Query HCL2 files
hq 'resource.aws_instance.main.ami' main.tf
hq 'variable[*]' variables.tf --json
```

All commands accept `-` as PATH to read from stdin. Run `--help` on any command for the full list of flags.

## 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 py310-unit` will run the unit tests for python 3.10

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.

## Roadmap

Planned features, roughly in priority order:

- **MCP server** — expose parsing, querying, and formatting as MCP tools for AI agents
- **Predictable formatting** — source-derived formatting heuristics and stable whitespace defaults
- **In-place tree edits** — `hq set`, `hq delete` for programmatic HCL modification
- **Comment deserialization** — comments survive JSON round-trips and tree edits
- **Expression intelligence** — variable reference tracking, unused variable detection, cross-file analysis
- **Refactoring operations** — `hq rename`, `hq extract-module`, `hq sort` for high-level code transforms

## 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

None that are known.
