''' Purpose: translate user text to English
'''

# get access to url support
import url

# CS 1112 translation dictionary -- entries are of form: word,translation
BABEL_FISH_URL = 'http://www.cs.virginia.edu/~cs1112/datasets/words/babelfish'

# get contents of babel fish url
dataset = url.get_csv_dataset( BABEL_FISH_URL )

# convert csv-based word mappings into dictionary format
word_mappings = {}

for row in dataset:  # what is row?
    # compare this syntax to what we did in good_doggie.py; what similarities and differences do you see?
    word, translation = row
    # print( row )
    word_mappings[ word ] = translation

# print( word_mappings )

# get the user text to be translated
reply = input( 'Enter phrase to be translated: ' )

# convert reply into a list of words
to_be_translated = reply.split()

# process the list word by word
line = ''  # let's make output the accumulation
for user_word in to_be_translated :
    # translate user_word
    if ( user_word in word_mappings.keys() ):
        # if we know about the word (i.e. it's in our mappings), we want to print its translation
        # can check if user_word is in word_mappings OR if it's in word_mappings.keys()
        output = word_mappings[ user_word ]
    else:  # otherwise we have some kind of indication that we don't know about the word
        output = "*" + user_word + "*"
    line = line + output + " "
    print( output, end=" " )  # how does this method differ from the accumulation method?

print()  # separates output from line with a new line

print( line )
# print( dataset )
# print( word_mappings )
# print( )

# this is a very rudimentary translation program, but lots of translation programs are kind of
    # rudimentary anyways...