Generate simplest documentation possible

simpledocs.py

# HERE import all functions/classes to generate documentation for
from covidseg.dataset_reduction import reduce_dataset
from covidseg.inference import inference

# Generate docstrings
def __docs(m):
    """
    Generates simple docstring for python module.
    """
    file = f"\nFILE: {m.__file__}" if hasattr(m, '__file__') else ""
    d = f"{m.__module__}.{m.__name__}\n{m.__doc__}{file}\n"
    return d

# HERE insert all modules to generate documentation for
mods = [
    reduce_dataset,
    inference,
]

for mod in mods:
    d = __docs(mod)
    print(f"{d}\n")
    
# EXAMPLE OUTPUT
"""
covidseg.dataset_reduction.reduce_dataset

    Reduce dataset within data_folder with help of lungseg_model.

    :param lungseg_model: lung segmentation model Pytorch nn.Module
    :param data_folder: path to inference images
    :param output_folder: path where to store output volumes
    


covidseg.inference.inference

    Performs inference on input volume with reducing the volume in the process.

    :param volume_path: path to volume to perform inference on
    :param lungseg_model: instance of lung segmentation model 
    :param covidseg_model: instance of covid segmentation model
    :output_filename: output file name path
    
"""