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https://github.com/chaudum/j2y

A Jinja2 Template CLI
https://github.com/chaudum/j2y

cli hcl jinja2 json python3 yaml

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A Jinja2 Template CLI

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==================
j2y - A Jinja2 CLI
==================

.. image:: https://travis-ci.org/chaudum/j2y.svg?branch=master
:target: https://travis-ci.org/chaudum/j2y
:alt: Travis CI

.. image:: https://badge.fury.io/py/j2y.svg
:target: http://badge.fury.io/py/j2y
:alt: Python Package Index

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
:target: https://github.com/ambv/black
:alt: Code Style: Black

|

Render Jinja2 templates on the command line using a YAML_, JSON_ or HCL_ file
as input for the render context.

Installation
============

``j2y`` is installed using ``pip``::

$ pip install j2y

.. Note::

The name of this Python package is ``j2y``, but it will be renamed to
``j2-cli`` with the next major release.

Alternatively you can install directly from Github master branch::

$ pip install git+https://github.com/chaudum/j2y.git@master

Usage
=====

By default, the ``j2cli`` command takes a YAML_ file as input::

$ j2cli template.j2 < values.yaml

Alternatively you can use JSON_ or HCL_ as input format::

$ j2cli template.j2 -f json < values.json
$ j2cli template.j2 -f hcl < values.hcl

It's also possible to provide multiple input files::

$ j2cli template.j2 --context v1.yaml --context v2.yaml

Run ``j2cli -h`` to see all available options.

Template Variables
------------------

Additionally to the variables provided by the input file, ``j2cli`` also
provides built-in default variables. These variables are:

:meta.date:
Type: ``datetime``

Value: Current UTC datetime object

:meta.platform:
Type: ``dict``

Value: Output of ``platform.uname()``

:env:
Type: ``dict``

Value: All environment variables (output of ``os.environ``).

Local Development
=================

Bootstrapping
-------------

Create a virtualenv_ and install the package as develop egg::

$ python -m venv env
$ source env/bin/activate
(env) $ pip install -e .

Tests
-----

At the moment there are very simple test cases only. Test are written as
Python doctests and run using pytest_::

(env) $ pip install -e ".[test]"
(env) $ pytest

Pytest additionally runs the black_ linter and mypy_ static type checker.

Documentation
.............

The tests located in the ``docs/`` folder can also be built into HTML using
Sphinx_::

(env) $ sphinx-build -E -W docs/ _build/

.. _YAML: http://yaml.org/spec/
.. _JSON: https://www.json.org/
.. _HCL: https://github.com/hashicorp/hcl
.. _virtualenv: https://docs.python.org/3/tutorial/venv.html
.. _pytest: https://docs.pytest.org/en/latest/
.. _black: https://github.com/ambv/black
.. _mypy: https://github.com/python/mypy
.. _Sphinx: http://www.sphinx-doc.org/en/master/