Metadata-Version: 2.4
Name: mkquartodocs
Version: 0.6.0
Author-email: "J. Sebastian Paez" <jspaezp@users.noreply.github.com>
License: Apache 2.0
License-File: LICENSE
Requires-Python: <3.14,>=3.10
Requires-Dist: mkdocs>=1.6.1
Requires-Dist: pymdown-extensions
Description-Content-Type: text/markdown

---
biblio-config: true
labels:
  abstract: Abstract
  affiliations: Affiliations
  authors: Authors
  description: Description
  doi: Doi
  keywords: Keywords
  modified: Modified
  published: Published
  related_formats: Other Formats
toc-title: Table of contents
---

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# mkquartodocs

![Example](readme_assets/gif.gif "Example")

**Make gorgeous reproducible documentation with quarto and mkdocs**

It is a plugin for [mkdocs](https://www.mkdocs.org/) that renders
[quarto](https://quarto.org) markdown documents into github, so they are
built with the rest of the documentation.

### Why?

In many instances the documentation contains runnable code, and it makes
sense that you verify that the code runs and keep the output of the code
in sync with the current status of the document and software packages
involved.

**But mainly** I really got tired of manually rendering documents and
copying outpus.

## Usage

1.  Install the dependencies: [Installation](#installation)
2.  Add the plugin to your configuration:
    [Configuration](#configuration)
3.  Add `.qmd` files to your `./docs/` directoy
4.  Run `mkdocs build`

This will render code chunks and save the outputs! Check out
https://quarto.org/ for more examples on how to use the format.

This ....

```` markdown

```{python}
print(1+2)
```
````

Will become this ...

:::: {.cell execution_count="1"}
``` {.python .cell-code}
print(1+2)
```

::: {.cell-output .cell-output-stdout}
    3
:::
::::

## Installation

1.  Make sure you have quarto installed in your computer.

    -   https://quarto.org/docs/get-started/

2.  Install `mkquartodocs`

``` shell
pip install mkquartodocs
```

## Configuration

Add `mkquartodocs` to your plugins in your `mkdocs.yml`

``` yaml
# Whatever is in your mkdocs.yml configuration file....
# ...

plugins:
  - mkquartodocs
```

Available configuration options:

-   **quarto_path**: Specifies where to look for the quarto executable.
-   **keep_output**: If true it will skip the cleanup step in the
    directory.
-   **ignore_pattern**: a python regular expressions that if matched
    will mark the file to not be rendered. Note that they need to be
    full matches
-   **force_rebuild**: If true it will force a rebuild of the quarto
    documents (instead of trying to skip the document if the .md already
    exists)

``` yaml
# Whatever is in your mkdocs.yml configuration file....
# ...

plugins:
  - mkquartodocs:
      quarto_path: /home/my_folder/some/weird/place/to/have/executables/quarto
      keep_output: true
      ignore: (.*broken.*.qmd)|(.*page[0-9].qmd)

# mkquartodocs will try to render every quarto document in the
# docs directory, you can specify the page names using either the .qmd
# or the .md extension

nav:
  - Home: README.md
  - Examples:
    - 'Simple python execution': 'examples/example.qmd'
    - 'Simple dataframe execution': 'examples/dataframe_example.qmd'
    - 'Simple mermaid execution': 'examples/mermaid_example.qmd'
    - 'Simple matplotlib execution': 'examples/matplotlib_example.qmd'


# These are also required depending on what features you want enabled.
theme:
  name: material

markdown_extensions:
  - pymdownx.highlight:
      anchor_linenums: true
  - pymdownx.superfences
```

## Running

**NOTHING !!! you do not have to run it manually!!**

When you call `mkdocs build`, it should automatically find your `.qmd`
files, render them, generate the output and clean after itself.

# TODO

The things that need to/could be added to the project:

-   [ ] quarto project support
-   [ ] render in temporary directory, posibly with a 'safe' argument
-   [ ] addition of files not in the docs directory, 'include' argument
-   [ ] add readme to testing data
-   [ ] move
    `INFO     -  mkquartodocs: Running RemoveCellDataPreprocessor` to
    debug log
