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-0.4.3.tar.gz (22.6 kB view details)

Uploaded Source

Built Distribution

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

phcl-0.4.3-py3-none-any.whl (28.6 kB view details)

Uploaded Python 3

File details

Details for the file phcl-0.4.3.tar.gz.

File metadata

  • Download URL: phcl-0.4.3.tar.gz
  • Upload date:
  • Size: 22.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for phcl-0.4.3.tar.gz
Algorithm Hash digest
SHA256 600faf9b0c82732cca997121c2b49660f72dbb235fad493a78057a67fe2ba137
MD5 9b5826e65b16f8d47931b7aa1e831fc3
BLAKE2b-256 6ea5aea0905c0015f97522382e89a7a9aeb71d41f99930e3853ac2a8e5877916

See more details on using hashes here.

File details

Details for the file phcl-0.4.3-py3-none-any.whl.

File metadata

  • Download URL: phcl-0.4.3-py3-none-any.whl
  • Upload date:
  • Size: 28.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for phcl-0.4.3-py3-none-any.whl
Algorithm Hash digest
SHA256 594e792e0490aa9362768f057d66a92f7f5f3ae4a739416a71199ef5ca51372c
MD5 19adf70e1744db6b0582a2c4bce27c46
BLAKE2b-256 dd68f4ee885a8f5356347f7a21468d1b625bea0120475b2d7d0e771d74e64ff5

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