Skip to main content

Generate API documentation with quarto.

Project description

quartodoc

Generate python API documentation for quarto.

Install

pip install quartodoc

Or for the latest changes:

python3 -m pip install -e git+https://github.com/machow/quartodoc.git#egg=quartodoc

Basic use

from quartodoc import get_function, MdRenderer

# get function object ---
f_obj = get_function("quartodoc", "get_function")

# render ---
renderer = MdRenderer(header_level = 1)
print(
    renderer.to_md(f_obj)
)
# get_function

`get_function(module: str, func_name: str, parser: str = 'numpy')`

Fetch a function.

## Parameters

| Name        | Type   | Description                | Default   |
|-------------|--------|----------------------------|-----------|
| `module`    | str    | A module name.             | required  |
| `func_name` | str    | A function name.           | required  |
| `parser`    | str    | A docstring parser to use. | `'numpy'` |

## Examples

```python
>>> get_function("quartodoc", "get_function")
<Function('get_function', ...
```

How it works

quartodoc consists of two pieces:

  • collection: using the library griffe to statically collect information about functions and classes in a program.
  • docstring parsing: also handled by griffe, which breaks it into a tree structure.
  • docstring rendering: use plum-dispatch on methods like MdRenderer.to_md to decide how to visit and render each piece of the tree (e.g. the examples section, a parameter, etc..).

Here is a quick example of how you can grab a function from griffe and walk through it.

from griffe.loader import GriffeLoader
from griffe.docstrings.parsers import Parser

griffe = GriffeLoader(docstring_parser = Parser("numpy"))
mod = griffe.load_module("quartodoc")

f_obj = mod._modules_collection["quartodoc.get_function"]
f_obj.name
'get_function'
docstring = f_obj.docstring.parsed
docstring
[<griffe.docstrings.dataclasses.DocstringSectionText at 0x105a2c310>,
 <griffe.docstrings.dataclasses.DocstringSectionParameters at 0x10f7961f0>,
 <griffe.docstrings.dataclasses.DocstringSectionExamples at 0x10f7965b0>]

Note that quartodoc’s MdRenderer can be called on any part of the parsed docstring.

from quartodoc import MdRenderer

renderer = MdRenderer()

print(
    renderer.to_md(docstring[1])
)
| Name        | Type   | Description                | Default   |
|-------------|--------|----------------------------|-----------|
| `module`    | str    | A module name.             | required  |
| `func_name` | str    | A function name.           | required  |
| `parser`    | str    | A docstring parser to use. | `'numpy'` |

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quartodoc-0.4.1.tar.gz (147.2 kB view details)

Uploaded Source

Built Distribution

quartodoc-0.4.1-py2.py3-none-any.whl (55.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file quartodoc-0.4.1.tar.gz.

File metadata

  • Download URL: quartodoc-0.4.1.tar.gz
  • Upload date:
  • Size: 147.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for quartodoc-0.4.1.tar.gz
Algorithm Hash digest
SHA256 510ae7272c8bcfe9954b5cd4a308d504121b2bb98f331a2e241700572f1cb5c9
MD5 7bce6a68ee4a97e9abb44b69e64f4355
BLAKE2b-256 a8f265a4d12eb84e9338445e3d404caa9f0dddc8534b26cb51fc410b79a22afa

See more details on using hashes here.

File details

Details for the file quartodoc-0.4.1-py2.py3-none-any.whl.

File metadata

  • Download URL: quartodoc-0.4.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 55.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for quartodoc-0.4.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8a76147dec97ccc09cf27dfbb1a2ddd01cf00cbb69bcebc936322af3a85b8ddf
MD5 da7509065e7f35c355e5b65d68447ff4
BLAKE2b-256 f7260126b77d821692417b0a8efb68a8a7be4041e93a0e0979bde7b11b351e62

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page