semvec/pypi-packages huggingface dataset:
mdninja 1.0.3
mdninja + markdown + jinja2 = beautiful HTML
License: MIT
Requires Python: ~=3.9
Keywords: markdown jinja2 publishing

=======
mdninja
=======

**mdninja + markdown + jinja2 = beautiful HTML documents**

`mdninja` is a document processor that converts markdown documents into HTML document by applying Jinja2 templating.

Installation
------------

::

  pip install mdninja

Usage
-----

Simple use:

::

  mdninja doc.md -o doc.html


If you want to use a different template:

::

  mdninja doc.md -o doc.html --template=stylish.html


The default template is:

::

	<!DOCTYPE html>
	<html>
		<head>
			<title>{% for title in meta.title %}{{title}} {% endfor %}</title>
		</head>
		<body>
			<h1>{% for title in meta.title %}{{title}} {% endfor %}</h1>
			{{ body }}
			<hr/>
		</body>
	</html>

Metadata (like `title` above) is added to the document by adding metadata headers like this at the top of the file

::

  Title: A simple document


Alternatively, you can specify the meatadata using a YAML style header too:

::

	---
	title: A simple document
	---
autoscale-queue-celery 0.2.0
Produces Celery queue metrics for the Autoscale.app Agent
License: MIT
Requires Python: >=3.8,<3.12
Keywords: python,queue,worker,autoscale,celery

# Python Queue Celery (Autoscale.app)

Produces [Celery] queue metrics for the [Autoscale.app] [Agent].

## Installation

Install the package:

    pip install autoscale-queue-celery

## Usage

Instructions are provided during the autoscaler setup process on [Autoscale.app].

## Development

Prepare environment:

    pip install poetry
    poetry install

Boot the shell:

    poetry shell

See Paver for relevant tasks:

    paver --help

## Release

1. Update `pyproject.toml` and `__init__.py`
2. Create and push a new tag (`v.1.2.3`)

## Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/autoscale-app/python-queue-celery

[Autoscale.app]: https://autoscale.app
[Agent]: https://github.com/autoscale-app/python-agent
[Celery]: https://docs.celeryq.dev/en/stable/