picata


Namepicata JSON
Version 0.0.12 PyPI version JSON
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home_pageNone
SummaryAda's Wagtail-based CMS & blog
upload_time2025-02-15 09:33:45
maintainerNone
docs_urlNone
authorNone
requires_python>=3.13
license# The MIT License (MIT) Copyright © `2024` `Ada Wright <ada@hpk.io>` Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords blog cms django wagtail
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requirements No requirements were recorded.
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coveralls test coverage No coveralls.
            # Picata

**_This project is very much pre-alpha_**

Picata is a CMS & blog application I forked off from my personal website. At the
moment it's effectively a ton of pre-made [Wagtail](https://wagtail.org) "stuff"
(models, views, templatetags, middleware, hooks, etc.), made generic enough that
you can `pip install` the package, add it to your `INSTALLED_APPS`, and have a
CMS/blog up-and-running without having to spend weeks or months tailoring Wagtail
to your needs.

It's still under heavy development, with most documentation and a project
template pending but - if you're already working with Wagtail - the source
provides many working solutions to common problems. The repo for the aforementioned
personal website [lives on GitHub](https://github.com/hipikat/hpk.io), and
demonstrates a working implementation of this package (requiring, in fact, only
this package as a dependency).

## What's in the box?

- [Wagtail](https://wagtail.org) (on [Django](https://www.djangoproject.com)) as the CMS & web frameworks
- Runs on [PostgreSQL](https://www.postgresql.org); loaded with scripts for managing the
  database lifecycle and snapshots
- [Tailwind CSS](https://tailwindcss.com) in [Sass](https://sass-lang.com) for front-end styling
- [lxml](https://lxml.de) is used for fast HTML processing in a middleware layer

### Development features & workflows

Everything's written in very modern Python (circa 2025), with agressive linting and type-checking
thanks to [mypy](https://mypy-lang.org),
[Pydantic](https://docs.pydantic.dev/latest/)/[Pyright](https://github.com/microsoft/pyright),
and [Ruff](https://docs.astral.sh/ruff/). Picata uses [Django Debug Toolbar](https://django-debug-toolbar.readthedocs.io),
[runserver_plus](https://django-extensions.readthedocs.io/en/latest/runserver_plus.html), and
[iPython](https://www.google.com/search?client=safari&rls=en&q=ipython&ie=UTF-8&oe=UTF-8) for
development workflows. The project itself uses [pre-commit](https://pre-commit.com) extensively,
with 16 hooks to keep everything neat and tidy.

All front-end code is written in [TypeScript](https://typescript-eslint.io), with
[React](https://react.dev) set up and ready-to-go in the [Webpack](https://webpack.js.org) pipeline,
if you're into that kind of thing.

### Holding things together

- Uses [UV](https://github.com/astral-sh/uv) and
  [pyproject.toml](https://packaging.python.org/en/latest/specifications/pyproject-toml/)
  exclusively for Python project management
- [Just](https://just.systems) as a task runner, with over 60 recipes (at last count)
- [OpenTofu](https://opentofu.org) (a fork of [Terraform](https://www.terraform.io)) and
  [cloud-init](https://cloud-init.io) for all DevOps & rapid deployment
- [Docker](https://www.docker.com) and [Docker Compose](https://docs.docker.com/compose/) for local
  development

            

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