macro-counter 0.2.2

Description:

macrocounter 0.2.2

Macro Counter
Convenient terminal application to keep track of calories/macros with a simple prompt
Installation
Macro counter can be installed from test PyPI using a little bit customized pip command:
pip3 install --upgrade -i https://test.pypi.org/simple/ --extra-index-url https://pypi.python.org/simple macro_counter

Usage
CLI
Register a component
>>> register tomato_100gr
Registering tomato_100gr
Type (L)iquid/(S)olid: Solid
Type units (100.0) :
How much Calories : 18
How much Protein : 0.9
How much Carb : 3.9
How much Fiber : 1.2
How much Sugar : 2.6
How much Fat : 0.2
How much Saturated fat :
How much Mono insaturated fat :
How much Poly insaturated fat : 0.1
How much Trans fat :
Created: tomato_100gr
>>> register coco_milk_100ml
Registering coco_milk_100ml
Type (L)iquid/(S)olid: Liquid
Type units (100.0) :
How much Calories : 185
How much Protein : 1.6
How much Carb : 2
How much Fiber :
How much Sugar : 2
How much Fat : 19
How much Saturated fat : 17
How much Mono insaturated fat :
How much Poly insaturated fat :
How much Trans fat :
Created: coco_milk_100ml

Checking component infos
>>> tomato_100gr
---------------------- -------- -----
Calories 18.0
Units 100.0 gr
Protein 0.9 18.0%
Carb 3.9 78.0%
Fiber 1.2
- Sugar 2.6 52.0%
Fat 0.2 4.0%
- Poly insaturated fat 0.1 2.0%
---------------------- -------- -----
>>> coco_milk_100ml
--------------- -------- -----
Calories 185.0
Units 100.0 ml
Protein 1.6 7.1%
Carb 2.0 8.8%
- Sugar 2.0 8.8%
Fat 19.0 84.1%
- Saturated fat 17.0 75.2%
--------------- -------- -----

Multiplying operations
To check the nutritional facts of 2 liters of Coco milk.
>>> coco_milk_100ml * 20
--------------- --------- -----
Calories 3700.0
Units 2000.0 ml
Protein 32.0 7.1%
Carb 40.0 8.8%
- Sugar 40.0 8.8%
Fat 380.0 84.1%
- Saturated fat 340.0 75.2%
--------------- --------- -----

To check the nutritional facts of 2 liters of Coco milk using normalizing-to-one operation.
>>> coco_milk_100ml % 2000
--------------- --------- -----
Calories 3700.0
Units 2000.0 ml
Protein 32.0 7.1%
Carb 40.0 8.8%
- Sugar 40.0 8.8%
Fat 380.0 84.1%
- Saturated fat 340.0 75.2%
--------------- --------- -----

Adding operations
>>> tomato_100gr + coco_milk_100ml
---------------------- -------- -----
Calories 203.0
Units 200.0 gr
Protein 2.5 9.1%
Carb 5.9 21.4%
Fiber 1.2
- Sugar 4.6 16.7%
Fat 19.2 69.6%
- Saturated fat 17.0 61.6%
- Poly insaturated fat 0.1 0.4%
---------------------- -------- -----

Updating existing components
You can remove actual fields using 'r' or 'reset' keyword.
>>> register tomato_100gr
Updating tomato_100gr
Type (L)iquid/(S)olid (Solid) :
Type units (100.0) :
How much Calories (18.0/Reset):
How much Protein (0.9/Reset):
How much Carb (3.9/Reset):
How much Fiber (1.2/Reset):
How much Sugar (2.6/Reset):
How much Fat (0.2/Reset):
How much Saturated fat :
How much Mono insaturated fat :
How much Poly insaturated fat (0.1/Reset):
How much Trans fat :
Nothing changed

Assign a single component
You can also update the unit field, for example cooked chicken won't be as heavy as the raw one, but will still contains the macros.
>>> chicken_cooked = chicken_raw
Type (L)iquid/(S)olid (Solid) :
Type units (200.0) : 160
Created: chicken_cooked

Assign a recipe
Weight the product at the end of the recipe to fine tune further macro counting, corresponding to weight gain according to cooking, evaporating water, ect...
>>> tiramisu = eggs * 4 + almond_flour % 66 + mascarpone % 500 + erythritol * 66 * 22 + fresh_cream % 200
Type (L)iquid/(S)olid (Solid) :
Type units (1000.0) : 900
Created: tiramisu

Delete a component
>>> delete tomato
Component tomato deleted

Display components details
This will display each components data with their percentages over all the other.
>>> detail tomato_100gr + coco_milk_100ml
Name Units Cal Prot Carb Fiber Sugar Fat Sat Poly
--------------- ------- ----- ------ ------ ------- ------- ----- ------ ------
tomato_100gr 100.0gr 18.0 0.9 3.9 1.2 2.6 0.2 0.1
50.0% 8.9% 36.0% 66.1% 100.0% 56.5% 1.0% 100.0%
coco_milk_100ml 100.0ml 185.0 1.6 2.0 2.0 19.0 17.0
50.0% 91.1% 64.0% 33.9% 43.5% 99.0% 100.0%

Total 200.0 203.0 2.5 5.9 1.2 4.6 19.2 17.0 0.1