Skip to main content

Python-powered structural DSL for authoring native HCL2.

Project description

PHCL

PHCL is a Python DSL that compiles to native HCL2 and enables dynamic infrastructure generation.

Idea

In Terraform, HCL is great for describing infrastructure, but not for generating it dynamically. As complexity grows, configuration turns into a combinatorial explosion and becomes hard to maintain.

It also struggles when infrastructure depends on external data — YAML, JSON, databases, APIs — where data needs to be loaded, transformed, and combined before turning into resources.

PHCL moves generation, composition, and data processing into Python while keeping the output as clean, readable HCL2.

At the same time, PHCL keeps declaration code highly recognizable and as close as possible to native HCL2: you gain Python's expressive power without giving up the familiar shape of HCL-style authoring.

Architecture

PHCL is built around a small declarative core that treats Python classes as reusable HCL declaration shapes.

  • Classes as declarations — class bodies describe HCL structures directly instead of building an intermediate runtime config format.
  • Inheritance as refinement — subclasses extend and override existing declaration shapes, making reuse and specialization native to the model.
  • Registry and rendering — concrete top-level declarations are collected and emitted as plain HCL2.
  • Shared core, thin dialects — Terraform-, Packer-, and other HCL2-oriented layers can stay thin on top of the same PHCL foundation.

For example, instead of writing Terraform like this:

resource "aws_instance" "web" {
  ami           = "ami-123"
  instance_type = "t3.small"
}

PHCL aims to let you express the same declaration shape like this:

class Web(Resource["aws_instance"]):
    ami = "ami-123"
    instance_type = "t3.small"

See also: Documentation

CLI

The CLI supports:

  • compile a single Python file into HCL output
  • walk a directory and compile each file independently
  • emit generated files next to sources, into another directory, or to stdout
  • read per-file output settings from a module-level PHCL config, defaulting output to .hcl

This makes PHCL easy to adopt incrementally:

  • generate one file beside existing HCL
  • generate one subtree into a separate output directory
  • generate an entire repository in place
  • generate an entire repository into another target tree

See also: CLI docs

Installation

The package exposes a phcl CLI entrypoint:

pip install phcl

To install the Terraform dialect layer together with PHCL:

pip install 'phcl[terraform]'

Then:

phcl build <target>

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

phcl-0.3.1.tar.gz (20.1 kB view details)

Uploaded Source

Built Distribution

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

phcl-0.3.1-py3-none-any.whl (25.8 kB view details)

Uploaded Python 3

File details

Details for the file phcl-0.3.1.tar.gz.

File metadata

  • Download URL: phcl-0.3.1.tar.gz
  • Upload date:
  • Size: 20.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for phcl-0.3.1.tar.gz
Algorithm Hash digest
SHA256 1067d30a6ce98894f7f4891b9ac9ca19985d45ba470e238eba8eeeb074ec679b
MD5 1e0809bf5a8c90b9da9511aaf9c51ba3
BLAKE2b-256 c17e8ad53d42e99369643198819702942176441b47b4a60f4e4c68ed59472588

See more details on using hashes here.

File details

Details for the file phcl-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: phcl-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 25.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for phcl-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8488a00d689e0e9cd5a33f7f874d5875930b88194946785c954935ad609bd917
MD5 a2ed6a35cb8007d8fd277b40d7d46c75
BLAKE2b-256 e29b8a3669ea7e392f7eac30fb6a0fa9101ffea4e5c31ea70f169619d62a41b0

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