''' Purpose: access the babelfish dictionary
'''

# get access to url support 
import url

# Dictionary Recap
# Empty dictionaries are initialized with {}
# Dictionaries are a collection of keys and values
# {key:value, key:value, key:value, ...}
# Each key:value pair is called a MAPPING
# Creating a new mapping in our dictionary looks like this:
    # dict_name[key] = value (you fill in the dictionary name, key, and value)
# dict_name.get( key ) -> gives you value if key is in the dictionary; None otherwise
# dict_name[key] -> gives you value if key is in the dictionary; error otherwise

# translation dictionary url -- entries are in csv form; i.e., word,translation
BABELFISH_URL = 'http://www.cs.virginia.edu/~cs1112/datasets/words/babelfish'

# get contents of babel fish url as a dataset
dataset  = url.get_dataset( BABELFISH_URL )
print( dataset )
# put entries into a dictionary - a mapping of words to translations

# the dictionary starts off empty
translation_dictionary = {} # Accumulator for dictionaries (we add mappings to this)

# add each word-translation pair to the dictionary
for row in dataset : # Dataset is a list of lists (each inner list is a 2 element list)
    # get the two cells making up the row (the first element in the small list is the key and the second element is the value)
    key, value = row # .split() is for strings! We can say key, value = row since row is already a list
    # Alternative
    # key = row[0]
    # value = row[1]
    # print( 'key=', key, 'value=', value )
    # use the cells to add an entry to the dictionary
    translation_dictionary[ key ] = value   # Take the value of the defined key and value and add that mapping into our dictionary
    # Remember that dictionaries cannot have duplicate keys
    # If you redefine a mapping with the same key, that mapping is replaced with the new key:value mapping
    # aka if you had dict_name['a'] = 'a'
    # then you had dict_name['a'] = 'to'
    # The mapping in the dictionary for that key will be 'a': 'to' (whichever one is the most recent mapping)

# dump the dictionary

print( translation_dictionary )