How to download your Noom data
Per this note, you can apparently download your Noom data here
I used this because I completely forgot what a serving was for one of my custom recipes
On Noom all I can see is that my “KetoGranola20210326” , 1 serving is 187 Cal.
But if I have a trusty food scale and I want to log 149g I need to know what that is for a serving.
import json
import pandas as pd
df = pd.read_csv('/my/blah/Downloads/2021-05-02_xxxxx/xxxxx_CardioTrainer.CustomDishes.csv')
df.iloc[0]
# addedId 1111111
# userId 00000000
# jsonString {"amount":1,"isDeleted":false,"manualPreciseFo...
# timeUpdated 2021-03-18 01:38:22
# Name: 0, dtype: object
dishes = df.jsonString.map(json.loads).tolist()
ketogranola = list(filter(lambda x: x['name'] == 'KetoGranola20210326', dishes))[0]
Looks like I can gather to total cals and total grams …
[[x['name'], x['calories'], x['extraData']['preciseAmount']] for x in ketogranola.get('ingredients')]
[['Roasted Pumpkin Seed', 122, 21],
['Sunflower Seeds', 140, 24],
['Chia Seed', 123, 25],
['Flaxseeds', 112, 21],
['Cashew Nuts', 129, 22],
['Unsweetened Coconut Flakes', 133, 20],
['Natural Grocers Raw Macadamia Nuts', 191, 26],
['Coconut Oil', 187, 21],
['Pecans', 175, 25]]
#
sum([x['calories'] for x in ketogranola.get('ingredients')])
# 1312
sum([x['extraData']['preciseAmount'] for x in ketogranola.get('ingredients')])
# 205
Ok cool, looks like 1312/187 => 7.016042780748663 , oh and that matches this other field cool.
ketogranola['amount']
# 7
So then one serving is 205/7 ==> 29.286 grams. So the 149g in my image is 149/29.3 = 5.09 servings.