docs2md

Automatically parse python docstrings and convert them to markdown!

Installing

pip install and you're good to go!

https://pypi.org/project/docs2md/

Instructions

Simply run the docs2md.py from the command line to interact with the ol' main function.

Note: Program uses f-strings, as such python 3.6 or above is required.

Assuming you'll have a folder structure like so:

.
├── foo.py
├── blahbla
│   ├── __init__.py
│   └── blahblah.py
├── LICENSE
└── README.md

Running python3 -m docs2md.py . will produce the following:

.
├── docs
│   ├── foo.md
│   └── blahbla
│       ├── __init__.md
│       └── blahblah.md
├── foo.py
├── blahbla
│   ├── __init__.py
│   └── blahblah.py
├── LICENSE
└── README.md

The command line arguments are as follow:

positional arguments:
  f                     File or directory to parse!

optional arguments:
  -h, --help            show this help message and exit
  -d [DOCS_DIR], --docs-dir [DOCS_DIR]
                        Documentation directory in which your .md files will
                        be saved. Defaults to [cwd]/docs
  -p, --just-print      Prints the results instead of creating a whole file!
  -s [SAVE_IMPORT], --save-import [SAVE_IMPORT]
                        Whether you'll want to save the imports to another
                        file. Simply place the path of the txt file you'll
                        want to save your imports to
  --test                Runs doctest!

How does this work anyway?

If the input is a directory, doc2md.py will glob all of the files looking for python files and then look for doctrings.

Note: That the program will also include the __init__ and main files, as these can include critical declarations.

The yield_docstrings function will use python's abstract syntax tree module to look for docstrings near the following nodes:

• FunctionDef:

def foo()...

• AsyncFunctionDef:

def async foo()...

• ClassDef:

class foo:...

• Module:

"""docstrings at the start of a file"""

And automatically generate a simple markdown based on them. Feel free to perouse this repo's docs folder, which was naturally created using this tool.

The program will also look for the following nodes:

• ImportFrom
• Import

And mentions the fact that a python file imports from this or that module.

(This is useful to keep track of dependencies, and you can save these separately using the -s flag)

As of the moment of writting, the program does not yet include global variables or data. Although I'm partial to including them in a future update.