A handler is what makes it possible to collect and render documentation for a particular language.
About the Python handlers¤
Since version 0.18, a new, experimental Python handler is available. It is based on Griffe, which is an improved version of pytkdocs.
Note that the experimental handler does not yet support third-party libraries like Django, Marshmallow, Pydantic, etc. It is also not completely ready to handle dynamically built objects, like classes built with a call to
type(...). For most other cases, the experimental handler will work just fine.
If you want to keep using the legacy handler as long as possible, you can depend on
mkdocstrings-python-legacy directly, or specify the
python-legacy extra when depending on mkdocstrings:
# PEP 621 dependencies declaration # adapt to your dependencies manager [project] dependencies = [ "mkdocstrings[python-legacy]>=0.18", ]
The legacy handler will continue to "work" for many releases, as long as the new handler does not cover all previous use-cases.
Migrate to the experimental Python handler¤
To use the new, experimental Python handler, you can depend on
mkdocstrings-python directly, or specify the
python extra when depending on mkdocstrings:
# PEP 621 dependencies declaration # adapt to your dependencies manager [project] dependencies = [ "mkdocstrings[python]>=0.18", ]
setup_commandsis not yet implemented. In most cases, you won't need it, since by default the new handler does not execute the code.
Since mkdocstrings 0.19, the YAML
selection key is merged into the
filtersis implemented, and used as before.
membersis implemented, and used as before.
inherited_membersis not yet implemented.
docstring_styleis implemented, and used as before, except for the
restructured-textstyle which is renamed
sphinx. Numpy-style is now built-in, so you can stop depending on
docstring_optionsis implemented, and used as before. Refer to the
griffedocumentation for the updated list of supported docstring options.
new_path_syntaxis irrelevant now. If you were setting it to True, remove the option and replace every colon (
:) in your autodoc identifiers by dots (
See all the handler's options.
Since mkdocstrings 0.19, the YAML
rendering key is merged into the
Every previous option is supported. Additional options are available:
separate_signature: Render the signature (or attribute value) in a code block below the heading, instead as inline code. Useful for long signatures. If Black is installed, the signature is formatted. Default:
line_length: The maximum line length to use when formatting signatures. Default:
show_submodules: Whether to render submodules of a module when iterating on children. Default:
docstring_section_style: The style to use to render docstring sections such as attributes, parameters, etc. Available styles:
spacy. The SpaCy style is a poor implementation of their table style. We are open to improvements through PRs!
See all the handler's options.
Templates are mostly the same as before, but the file layout has changed, as well as some file names. Here is the new tree:
📁 theme/ ├── 📄 attribute.html ├── 📄 children.html ├── 📄 class.html ├── 📁 docstring/ │ ├── 📄 admonition.html │ ├── 📄 attributes.html │ ├── 📄 examples.html │ ├── 📄 other_parameters.html │ ├── 📄 parameters.html │ ├── 📄 raises.html │ ├── 📄 receives.html │ ├── 📄 returns.html │ ├── 📄 warns.html │ └── 📄 yields.html ├── 📄 docstring.html ├── 📄 expression.html ├── 📄 function.html ├── 📄 labels.html ├── 📄 module.html └── 📄 signature.html
See them in the handler repository. See the documentation about the Python handler templates: https://mkdocstrings.github.io/python/customization/#templates.
Since version 0.14, you can create and use custom handlers thanks to namespace packages. For more information about namespace packages, see their documentation.
TL;DR - Project template for handlers
mkdocstrings provides a Copier template to kickstart new handlers: https://github.com/mkdocstrings/handler-template. To use it, install Copier (
pipx install copier), then run
copier gh:mkdocstrings/handler-template my_handler to generate a new project. See its upstream documentation to learn how to work on the generated project.
For mkdocstrings, a custom handler package would have the following structure:
📁 your_repository └─╴📁 mkdocstrings_handlers └─╴📁 custom_handler ├─╴📁 templates │ ├─╴📁 material │ ├─╴📁 mkdocs │ └─╴📁 readthedocs └─╴📄 __init__.py
Note the absence of
__init__.py module in
A handler is a subclass of the base handler provided by mkdocstrings.
See the documentation for the
BaseHandler. Subclasses of the base handler must implement the
render methods at least. The
collect method is responsible for collecting and returning data (extracting documentation from source code, loading introspecting objects in memory, other sources? etc.) while the
render method is responsible for actually rendering the data to HTML, using the Jinja templates provided by your package.
You must implement a
get_handler method at the module level. This function takes the following parameters:
theme(string, theme name)
custom_templates(optional string, path to custom templates directory)
config_file_path(optional string, path to the config file)
These arguments are all passed as keyword arguments, so you can ignore them by adding
**kwargs or similar to your signature. You can also accept additional parameters: the handler's global-only options and/or the root config options. This gives flexibility and access to the mkdocs config, mkdocstring config etc.. You should never modify the root config but can use it to get information about the MkDocs instance such as where the current
site_dir lives. See the Mkdocs Configuration for more info about what is accessible from it.
Check out how the Python handler is written for inspiration.
Your handler's implementation should normally be backed by templates, which go to the directory
custom_handler here should be replaced with the actual name of your handler, and
some_theme should be the name of an actual MkDocs theme that you support, e.g.
With that structure, you can use
self.env.get_template("foo.html") inside your
render method. This already chooses the subdirectory based on the current MkDocs theme.
If you wish to support any MkDocs theme, rather than a few specifically selected ones, you can pick one theme's subdirectory to be the fallback for when an unknown theme is encountered. Then you just need to set the
fallback_theme variable on your handler subclass. The fallback directory can be used even for themes you explicitly support: you can omit some template from one of the other theme directories in case they're exactly the same as in the fallback theme.
If your theme's HTML requires CSS to go along with it, put it into a file named
mkdocstrings_handlers/custom_handler/templates/some_theme/style.css, then this will be included into the final site automatically if this handler is ever used. Alternatively, you can put the CSS as a string into the
extra_css variable of your renderer.
Finally, it's possible to entirely omit templates, and tell mkdocstrings to use the templates of another handler. In you handler, override the
get_templates_dir() method to return the other handlers templates path:
from pathlib import Path from mkdocstrings.handlers.base import BaseHandler class CobraHandler(BaseHandler): def get_templates_dir(self, handler: str) -> Path: # use the python handler templates # (it assumes the python handler is installed) return super().get_templates_dir("python")
When a custom handler is installed, it is then available to mkdocstrings. You can configure it as usual:
plugins: - mkdocstrings: handlers: custom_handler: handler_config_option: yes options: some_config_option: "a" other_config_option: 0
...and use it in your autodoc instructions:
# Documentation for an object ::: some.objects.path handler: custom_handler options: some_config_option: "b" other_config_option: 1
mkdocstrings provides a way for third-party packages to extend or alter the behavior of handlers. For example, an extension of the Python handler could add specific support for another Python library.
This feature is intended for developers. If you are a user and want to customize how objects are rendered, see Theming / Customization.
Such extensions can register additional template folders that will be used when rendering collected data. Extensions are responsible for synchronizing with the handler itself so that it uses the additional templates.
An extension is a Python package that defines an entry-point for a specific handler:
[project.entry-points."mkdocstrings.python.templates"] # (1)! extension-name = "extension_package:get_templates_path" # (2)!
pythonby the name of the handler you want to add templates to.
extension-nameby any name you want, and replace
extension_package:get_templates_pathby the actual module path and function name in your package.
This entry-point assumes that the extension provides a
get_templates_path function directly under the
📄 pyproject.toml 📁 extension_package/ ├── 📄 __init__.py └── 📁 templates/
from pathlib import Path def get_templates_path() -> Path: return Path(__file__).parent / "templates"
This function doesn't accept any argument and returns the path (
str) to a directory containing templates. The directory must contain one subfolder for each supported theme, even if empty (see "fallback theme" in custom handlers templates). For example:
📄 pyproject.toml 📁 extension_package/ ├── 📄 __init__.py └── 📁 templates/ ├── 📁 material/ ├── 📁 readthedocs/ └── 📁 mkdocs/
mkdocstrings will add the folders corresponding to the user-selected theme, and to the handler's defined fallback theme, as usual.
The names of the extension templates must not overlap with the handler's original templates.
The extension is then responsible, in collaboration with its target handler, for mutating the collected data in order to instruct the handler to use one of the extension template when rendering particular objects. See each handler's docs to see if they support extensions, and how.