Convert weight in lbs to stats about glucose replacement for your brain.

glucose_brain_burn_rate.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Convert weight in lbs to stats about glucose replacement for your brain."""
# After reading reading "Thinking, Fast and Slow"
# by Daniel Kahneman
#
# Based docs from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900881/
# and
# https://www.nutritionix.com/food/light-corn-syrup
from __future__ import unicode_literals
import json  # noqa: F401
from collections import OrderedDict
import logging
import os
import argparse

G_LIGHT_CORN_SYRUP_TBSP = 17
LBS_TO_GRAMS = 453.592

logging.basicConfig()
LOG = logging.getLogger(os.path.basename(__file__).replace('.py', ''))
LOG.setLevel(logging.INFO)


def get_args(test_args=None):
    """Get Arg parse object."""
    parser = argparse.ArgumentParser(
        description=__doc__,
        add_help=True,
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
    )
    parser.add_argument(
        'weight',
        type=int,
        help='body weight in lbs',
    )
    if test_args:
        args = type(str('args'), (), {})()
        [setattr(args, k, v) for k, v in test_args.items()]
    else:
        args = parser.parse_args()
    return args


if __name__ == '__main__':
    r"""
    test_args = {
        'weight': 500,
    }
    args = get_args(test_args)
    """
    args = get_args()
    lbs_weight = args.weight
    brain_weight_grams = (lbs_weight * LBS_TO_GRAMS) * .02
    g_per_minute = ((brain_weight_grams / 100) * 5.6) / 1000
    g_per_hour = g_per_minute * 60
    out = OrderedDict([
        ('lbs_body_weight', lbs_weight),
        ('g_brain_weight', '{:.2f}'.format(brain_weight_grams)),
        ('g_burn_per_minute', '{:.2f}'.format(g_per_minute)),
        ('g_burn_per_hour', '{:.2f}'.format(g_per_hour)),
        ('total_hr', int(g_per_hour)),
        ('total_2hr', {
            'used': int(g_per_hour * 2),
            'tbsp_light_corn':
            '{:.2f}'.format(
                (g_per_hour * 2) /
                G_LIGHT_CORN_SYRUP_TBSP),
        }),
        ('total_8hr', {
            'used': int(g_per_hour * 8),
            'tbsp_light_corn':
            '{:.2f}'.format(
                (g_per_hour * 8) /
                G_LIGHT_CORN_SYRUP_TBSP),
        }),
    ])
    print(json.dumps(out, indent=4, separators=(',', ' : ')))

output

 $ ./glucose_brain_burn_rate.py 200
{
    "lbs_body_weight" : 200,
    "g_brain_weight" : "1814.37",
    "g_burn_per_minute" : "0.10",
    "g_burn_per_hour" : "6.10",
    "total_hr" : 6,
    "total_2hr" : {
        "used" : 12,
        "tbsp_light_corn" : "0.72"
    },
    "total_8hr" : {
        "used" : 48,
        "tbsp_light_corn" : "2.87"
    }
}