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Recipe Converter

recipes_files/ contains:

  • a flat text file with sample recipes recipes.txt
  • the json file being written to after each program execution recipes.json

recipes/ contains:

  • recipe.py
    • Class definition of a Recipe
  • recipes.py
    • parses commandline arguments to scale surving size and filter for ingredients
    • instantiates Recipe objects
      • massages these instances to Python dictionaies
      • wraps these together
      • encodes the python dict to JSON and writes to file

To execute

  1. Clone repository: git clone https://github.com/killakam3084/recipes_repo

  2. Install recipes package cd recipes/ && pip install

  3. Run the script:

     usage: recipes-to-json [-h] [-s SERVING_SIZE] [-f FILTER_ITEMS]
                input_file out_file

 Certainly this isn't how Food Network does it

 positional arguments:
   input_file            An input text file to read in recipes from. Must
                 adhere certain structure.**
   out_file              File to write json recipe data to.

 optional arguments:
   -h, --help            show this help message and exit
   -s SERVING_SIZE, --serving-size SERVING_SIZE

  4. Example recipes-to-json -s 4 -f "cheese,milk" recipes.json recipes.txt

Assumptions

  • The user only wants to scale up the recipe up by a multiple of original serving size
  • The input flat text adheres to the sample txt structure: recipe name serving size ingredient 1 ingredient 2 ...
  • Also chose to represent ingredients who don't have a defined quantity value as empty "" in the json representation...seemed reasonable.
  • And per the problem formulation just filtering exact string matches..."cheese" won't find "cheddar cheese" and vice versa.