#!/usr/bin/env python

# Copyright (c) 2015, Ecole Polytechnique Federale de Lausanne, Blue Brain Project
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'''Extract a distribution for the soma radii of the population (list) of neurons.
   for the soma radii of the population (list) of neurons.
   '''

import neurom as nm
from neurom import stats as st
import argparse


def parse_args():
    '''Parse command line arguments'''
    parser = argparse.ArgumentParser(
        description='Morphology fit distribution extractor',
        epilog='Note: Prints the optimal distribution and corresponding parameters.')

    parser.add_argument('datapath',
                        help='Path to morphology data file or directory')

    return parser.parse_args()


def test_multiple_distr(filepath):
    '''Runs the distribution fit for multiple distributions and returns
       the optimal distribution along with the corresponding parameters.
    '''
    #  load a neuron from an SWC file
    population = nm.load_neurons(filepath)

    # Create a list of basic distributions
    distr_to_check = ('norm', 'expon', 'uniform')

    # Get the soma radii of a population of neurons
    soma_size = nm.get('soma_radii', population)

    # Find the best fit distribution
    return st.optimal_distribution(soma_size, distr_to_check)


if __name__ == '__main__':
    args = parse_args()

    data_path = args.datapath

    result = test_multiple_distr(data_path)
    print("Optimal distribution fit for soma radius is: %s with parameters %s" %
          (result.type, result.params))
