''' Purpose: demonstrate dict mappings
'''

# get access to url support
import url

# where is the dog to notoriety mappings
PUPPIES_CSV = 'http://www.cs.virginia.edu/~cs1112/datasets/csv/puppies.csv'


# get data set
dataset = url.get_dataset( PUPPIES_CSV )


# convert dataset to a form suitable for querying

notoriety =  { }

for row in dataset : # Loop through each row in the dataset (each row contains
    # like Brian Griffin, Family Guy so it'll take that row
    name, fame = row # break up the row and assign it to be the key and value
    notoriety[ name ] = fame # Create a mapping of that name to that fame
    # So in our dictionary we would have notoriety{"Brian Griffin" : '"Family Guy"}

print( notoriety ) # Print our dictionary once we've created all the mappings
# After we looped through each row, got the key and value from the row, and got the
# mapping and added it to our dictionary.

# ask for dog of interest
reply = input( 'Enter name of dog: ' )

dog = reply.strip()
dog = dog.capitalize()

# look up claim to fame

fame = notoriety.get( dog ) # Remember the .get(key) function?
# We got the name of a dog and we said that fame is assigned the
# value of what the function .get( dog ) returns for the name of a
# dog (key) in our dictionary
# So we give it a dog (key) and we get its fame (value)

# If you're still confused about this remember that
# if we have dictionary d
# d.get(key) will return the value mapped to that key
# So when we said notoriety.get( dog ), it went into our dictionary
# and got the value (the fame) mapped to that dog
# If it's not a dog in our dictionary, it gets None
print( fame )