Generate Markdown documentation from Python code
Project description
Generate Markdown documentation from Python code
This library generates Markdown documentation directly from Python code, utilizing Python type annotations.
Features at a glance
- Each module produces a Markdown file.
- Documentation strings are extracted from module, class, enumeration and function definitions.
- Cross-references may be local or fully qualified, and work across modules.
- Classes with member variable declarations produce member documentation.
- Data-class field descriptions are validated if they have a matching member variable declaration.
- Enumeration members are published, even if they lack a description.
- Magic methods (e.g.
__eq__) are published if they have a doc-string. - Multi-line code blocks in doc-strings are retained as Markdown code blocks.
- Forward-references and type annotations as strings are automatically evaluated.
Documentation features
Cross-references with Sphinx-style syntax are supported in module, class and function doc-strings:
@dataclass
class SampleClass:
"""
This class is extended by :class:`DerivedClass`.
This class implements :meth:`__lt__` and :meth:`SampleClass.__gt__`.
"""
The following Sphinx-style cross-references are recognized:
:mod:for a module:class:for a regular class:exc:for an exception class:deco:for a decorator function:func:for a function defined at the module level:meth:for a method of a class
Class member variable and data-class field descriptions are defined with :param ...::
@dataclass
class DerivedClass(SampleClass):
"""
This data-class derives from another base class.
:param union: A union of several types.
:param json: A complex type with type substitution.
:param schema: A complex type without type substitution.
"""
union: SimpleType
json: JsonType
schema: Schema
Enumeration member description follows the member value assignment:
class EnumType(enum.Enum):
enabled = "enabled"
"Documents the enumeration member `enabled`."
disabled = "disabled"
"Documents the enumeration member `disabled`."
Usage
Calling the utility in Python
from markdown_doc.generator import MarkdownGenerator
MarkdownGenerator([module1, module2, module3]).generate(out_dir)
Pass an object of MarkdownOptions to configure behavior:
MarkdownGenerator(
[module1, module2, module3],
options=MarkdownOptions(
anchor_style=MarkdownAnchorStyle.GITBOOK,
partition_strategy=PartitionStrategy.SINGLE,
include_private=False,
stdlib_links=True,
),
).generate(out_dir)
Running the utility from the command line
$ python3 -m markdown_doc --help
usage: markdown_doc [-h] [-d [DIRECTORY ...]] [-m [MODULE ...]] [-r ROOT_DIR] [-o OUT_DIR] [--anchor-style {GitBook,GitHub}] [--partition {single,by_kind}]
Generates Markdown documentation from Python code
options:
-h, --help show this help message and exit
-d [DIRECTORY ...], --directory [DIRECTORY ...]
folder(s) to recurse into when looking for modules
-m [MODULE ...], --module [MODULE ...]
qualified names(s) of Python module(s) to scan
-r ROOT_DIR, --root-dir ROOT_DIR
path to act as root for converting directory paths into qualified module names (default: working directory)
-o OUT_DIR, --out-dir OUT_DIR
output directory (default: 'docs' in working directory)
--anchor-style {GitBook,GitHub}
output format for generating anchors in headings
--partition {single,by_kind}
how to split module contents across Markdown files
Related work
In order to reduce added complexity, this library does not use the Sphinx framework with autodoc.
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