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

# CS 1112 translation dictionary
BABEL_FISH_URL = "http://www.cs.virginia.edu/~cs1112/words/babelfish"

# delimiters for unknown words
UNKNOWN_WORD_START_MARKER = "?"
UNKNOWN_WORD_END_MARKER   = "?"

# get contents of babel fish url
import urllib.request                               # need access to Python provided URL support

stream = urllib.request.urlopen( BABEL_FISH_URL )   # connect to babel fish url
page = stream.read()                                # read stream to get encoded contents
text = page.decode()                                # decode page to get contents as text

text = text.strip()                                 # clean up text

# get contents as a list of lines
lines = text.split( "\n" )                          # split on newline character

# get the babel fish dictionary out of the lines

babelfish_dictionary = {}                           # initialize the dictionary

# build dictionary out of the lines
for line in lines :                                 # process lines one by one

    # line in CSV format, need to split it on comma
    word, meaning = line.split( "," )               # line consists of a word and its translation
    word, meaning = word.strip(), meaning.strip()   # clean up word and meaning
    babelfish_dictionary[ word ] = meaning          # add another entry to dictionary`

# get the user text to be translated

reply = input( "Enter text for translation: " )     # get phrase of interest

reply = reply.strip()                               # clean up phrase

phrase = reply.lower()                              # put in lower case because dictionary is lower case

# get phrase as list of words
words_for_translation = phrase.split()              # split phrase on whitespace

# finally ready to start translating -- will do word by word

translation = ""                                    # translation starts off empty

for word in words_for_translation:                  # process words one at a time
    # whether current word is known, determines our action

    if ( word in babelfish_dictionary ):            # is current word part of the dictionary
        response = babelfish_dictionary[ word ]     # it is, so response is its meaning
    else:                                           # it is not, so response is a flagging of the word
        response = UNKNOWN_WORD_START_MARKER + word + UNKNOWN_WORD_END_MARKER

    # add the response to current word to the translation
    translation = translation + response + " "      # also add a space to separate responses

# print translation!!
print( translation )