pyDictionaryIntegers2Words

# Process a dictionary of data about books, finding all numeric data, and converting each number to the equivalent in words
# e.g. change 'Fahrenheit 451' to 'Fahrenheit four hundred and fifty one'
# by Mike Kerry (acclivity2@gmail.com)  7-Jan-2022

import re

cybc = {"BookNumber": (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21),
        "BookNames": ('For Whom the Bell Tolls', 'Brave New World', 'Nineteen Eighty-Four',
                      'The Sound and the Fury', 'Gone with the Wind', "Lady Chatterley's Lover",
                      'The Hound of the Baskervilles', 'I Am Number 4', 'The Great Gatsby',
                      'The War of the Worlds', 'The Lord of the Rings', 'Martin Eden', 'On the Road',
                      "A Room of One's Own", 'Lord Jim', 'Manhattan Transfer', "Sophie's Choice",
                      'The Catcher in the Rye', 'No Orchids For Miss Blandish',
                      'The Origins of Totalitarianism The Burden of Our Time', 'Fahrenheit 451'),
        "Pages": (None, 311, 328, 326, '1037 (first edition), 1024 (Warner Books Paperback)',
                  None, None, 440, None, 287, 'original manuscripts, which total 9,250 pages',
                  None, 320, 172, None, None, 562, 234, None, 704, 256),
        "Dates": (1940, 1932, 1949, 1929, 1936, 1928, '1901–02', 2009, 1925, 1898, '1954–55',
                  1909, 1957, 1929, 1900, 1925, 1979, 1951, 1939, 1951, 1953),
        "Author": ('Ernest Hemingway', 'Aldous Huxley', 'George Orwell', 'William Faulkner',
                   'Margaret Mitchell', 'D.H. Lawrence', 'Arthur Conan Doyle', 'Jobie Hughes, '
                   'James Frey', 'F. Scott Fitzgerald', 'H.G. Wells', 'J.R.R. Tolkien',
                   'Jack London', 'Jack Kerouac', 'Virginia Woolf', 'Joseph Conrad', 'John Dos Passos',
                   'William Styron', 'J.D. Salinger', 'James Hadley Chase', 'Hannah Arendt',
                   'Ray Bradbury')
        }

# Replace this dummy function with your own integer-to-words function
def num2words(n):
    return "ANUMBER"

# This function processes all the data for one specific key of the dictionary
def process_by_key(akey):
    items = cybc[akey]              # extract the tuple of all the dictionary items for the given key
    newitems = []                   # define an empty list that will hold the modified items
    for item in items:
        if isinstance(item, int):       # process integers
            item = num2words(item)      # replace the integer item with the equivalent words

        elif isinstance(item, str):     # process strings
            # Examine string items for any embedded integers
            vlist = re.split('(\d+)', item)           # Split on integers, preserving everything else too
            for x, part in enumerate(vlist):          # Examine every part of the split-up string
                if part.isdigit():                    # Look for parts that are digits only
                    vlist[x] = num2words(int(part))   # Convert such parts to the word equivalence

            # Re-combine all the parts of the string item from vlist
            item = "".join(vlist)
        newitems.append(item)           # Add the converted (or unchanged) item to our new list
    # re-insert the modified items into the dictionary
    cybc[akey] = tuple(newitems)        # Convert our new list to a tuple and re-insert in the dictionary

process_by_key("BookNumber")            # Process all book numbers
process_by_key("BookNames")             # Process all the book names
process_by_key("Pages")                 # Process all the pages
process_by_key("Dates")                 # Process all the dates

print(str(cybc))            # Dump out the modified dictionary