docments provides programmatic access to comments in function parameters and return types. It can be used to create more developer-friendly documentation, CLI, etc tools. For instance, here is a function with docments-compatible comments:

def add(
    a:int, # the 1st number to add
    b:int, # the 2nd number to add
)->int:    # the result of adding `a` to `b`
    "Add `a` to `b`"
    return a+b

The library provides one main function, also named docments, which returns a dict with the parameter names as keys, and comments as values. The return value comment appears in the return.

docments(add)

{'return': 'the result of adding `a` to `b`',
 'a': 'the 1st number to add',
 'b': 'the 2nd number to add'}

This is the same format that __annotations__ uses in Python.

add.__annotations__

{'a': int, 'b': int, 'return': int}

Install

Using pip:

pip install docments

Using conda:

conda install -c fastai docments

Details

If you need more space document a parameter, place one or more lines of comments above the parameter, or above the return type:

def add(
    a:int, # The first operand
    # This is the second of the operands to the *addition* operator.
    # Note that passing a negative value here is the equivalent of the *subtraction* operator.
    b:int,
    # The result is calculated using Python's builtin `+` operator.
    # Note that this can be overridden for types using the `__add__` magic method
)->int:
    "Add `a` to `b`"
    return a+b

docments(add)

{'return': "The result is calculated using Python's builtin `+` operator.\nNote that this can be overridden for types using the `__add__` magic method",
 'a': 'The first operand',
 'b': 'This is the second of the operands to the *addition* operator.\nNote that passing a negative value here is the equivalent of the *subtraction* operator.'}