import json

with open('recipes/vegancupcakes.json', 'r') as f:
    recipes = json.load(f)
    
# Add a space before and after every unit if there isn't one already
# For example, converts "10g" to "10 g"
def separateUnits():
    # parse JSON for each Unit in Ingredients
    for ingredient in recipes['Ingredients']:
        # unit is any value of key Unit or Alternative in units.json
        # if unit surrounded by spaces, pass; else, add where necessary
  
# Replaces the article "a" with the quantifier 1
def replaceA():
    # substitute "a" for 1
  
# Figure out from the context what the shorthand refers to
# For example, "bake for 30 minutes at 180 c" refers to celsius, not cups
# Conflicts should be rare and obvious, context-specific knowledge can be hard-coded into the processor
def disambiguateUnits():
    
# Guess units where they are not specified
# For example, "bake for 30 minutes at 180"
# Success rate might be low but these ocurrences are rare and manual intervention is acceptable
# Use heuristics such as "bake" refers to temperatures within the baking range (say 160 to 250)
# Defaults to manual intervention unless confidence is very high
def addMissingUnits():
    
# Replace certain characters with space to ease tokenization
# Characters to be replaced by " "
# "-"
def separateTokens():