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.