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Automatic documentation from sources, for MkDocs.

Project description

mkdocstrings

pipeline status coverage report documentation pypi version

Automatic documentation from sources, for MkDocs.


mkdocstrings_gif1


Features

  • Language agnostic: just like mkdocs, mkdocstrings is written in Python but is language-agnostic. It means you can use it for any language, as long as you implement a handler for it. Currently, we only have a Python handler. Maybe you'd like to contribute another one :wink:?
  • Multiple themes support: each handler can offer multiple themes. Currently, we only offer the :star: Material theme :star: for the Python handler.
  • Cross-references to other objects: mkdocstrings makes it possible to reference other headings from your Markdown files with the classic Markdown syntax: [identifier][] or [title][identifier]. This feature is language agnostic as well: you can cross-reference any heading that appear in your Markdown pages. If the handler for a particular language renders headings for documented objects, you'll be able to reference them!
  • Inline injection in Markdown: instead of generating Markdown files, mkdocstrings allows you to inject documentation anywhere in your Markdown contents. The syntax is simple: ::: identifier followed by a 4-spaces indented YAML block. The identifier and YAML configuration will be passed to the appropriate handler to collect and render documentation.
  • Global and local configuration: each handler can be configured globally in mkdocs.yml, and locally for each "autodoc" instruction.
  • Watch source code directories: you can tell mkdocstrings to add directories to be watched by mkdocs when serving the documentation, for auto-reload.
  • Sane defaults: you should be able to just drop the plugin in your configuration and enjoy your auto-generated docs.

Python handler features

  • Data collection from source code: collection of the object-tree and the docstrings is done by pytkdocs. The following features are possible thanks to it:
    • Support for type annotations: pytkdocs collects your type annotations and mkdocstrings uses them to display parameters types or return types.
    • Recursive documentation of Python objects: just use the module dotted-path as identifier, and you get the full module docs. You don't need to inject documentation for each class, function, etc.
    • Support for documented attribute: attributes (variables) followed by a docstring (triple-quoted string) will be recognized by pytkdocs in modules, classes and even in __init__ methods.
    • Support for objects properties: pytkdocs detects if a method is a staticmethod, a classmethod, etc., it also detects if a property is read-only or writable, and more! These properties will be displayed next to the object signature by mkdocstrings.
    • Google-style sections support in docstrings: pytkdocs understands Arguments:, Raises: and Returns: sections, and returns structured data for mkdocstrings to render them.
    • Admonition support in docstrings: blocks like Note: or Warning: will be transformed to their admonition equivalent. We do not support nested admonitions in docstrings!
  • Every object has a TOC entry: we render a heading for each object, meaning mkdocs picks them into the Table of Contents, which is nicely display by the Material theme. Thanks to mkdocstrings cross-reference ability, you can even reference other objects within your docstrings, with the classic Markdown syntax: [this object][package.module.object] or directly with [package.module.object][]
  • Source code display: mkdocstrings can add a collapsible div containing the highlighted source code of the Python object.

To get an example of what is possible, check mkdocstrings' own documentation, auto-generated from sources by itself of course, and the following GIF:

mkdocstrings_gif2

Roadmap

  • January-March 2020: Big refactor.
  • March-April 2020: Write. Tests. Because. It's important. Gather feedback about Python handler configuration options. Work the backlog.

Requirements

mkdocstrings requires Python 3.6 or above.

To install Python 3.6, I recommend using pyenv.
# install pyenv
git clone https://github.com/pyenv/pyenv ~/.pyenv

# setup pyenv (you should also put these three lines in .bashrc or similar)
export PATH="${HOME}/.pyenv/bin:${PATH}"
export PYENV_ROOT="${HOME}/.pyenv"
eval "$(pyenv init -)"

# install Python 3.6
pyenv install 3.6.8

# make it available globally
pyenv global system 3.6.8

!!! note This project currently only works with the Material theme of MkDocs. Therefore, it is required that you have it installed.

```
pip install mkdocs-material
```

Installation

With pip:

python3.6 -m pip install mkdocstrings

Usage

# mkdocs.yml
theme:
  name: "material"

plugins:
  - search
  - mkdocstrings:
      default_handler: python
      handlers:
        python:
          rendering:
            show_source: true
      watch:
        - src/my_library

In one of your markdown files:

# Reference

::: my_library.my_module.my_class
    rendering:
      show_source: false


::: org.jpackage.BestOfTheBestFactoryInterface
    handler: java  # we don't have a java handler yet, it's just an example

In documentation strings (written in Markdown), you can reference objects from other places:

def some_function():
    """
    This is my function.

    It references [another function][package.submodule.function].
    It also references another object directly: [package.submodule.SuperClass][].
    """
    pass

Add some style in docs/custom.css:

div.doc-contents:not(.first) {
  padding-left: 25px;
  border-left: 4px solid rgba(230, 230, 230);
  margin-bottom: 80px;
}

And add it to your mkdocs.yml:

extra_css:
  - custom.css

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