# Visual Analytics 2014-2015 - Assignment #1
# Name: INSERT YOUR NAME HERE


# Import the standard library for loading web pages
import os
import urllib.request as urllib2
from bs4 import BeautifulSoup
import csv


# Assignment 1.1 - Write a function to fetch and save all
# of the loyalty card pages found here: 
# 'http://aviz.saclay.inria.fr/~isenberg/VA/loyalty/'
loyalty_root = 'http://aviz.saclay.inria.fr/~isenberg/VA/loyalty/'
loyalty_first = 'http://aviz.saclay.inria.fr/~isenberg/VA/loyalty/lc_output_0.html'
def fetch_loyalty_pages():
  # TODO: Fetch loyalty pages
  print('TODO: Fetch loyalty pages and save them locally')

# Assignment 1.2 - Write a function that processes all
#  of the saved loyalty card files and produces a CSV
def process_loyalty_pages():
  #TODO: Process loyalty pages
  print('TODO: Process loyalty pages to a CSV')


# Assignment 1.3 - Write a function to fetch and save all
# of the credit card pages found here: 
# 'http://aviz.saclay.inria.fr/~isenberg/VA/credit/'
credit_root = 'http://aviz.saclay.inria.fr/~isenberg/VA/credit/'
credit_first = 'http://aviz.saclay.inria.fr/~isenberg/VA/credit/cc_first_output_Q0YPUSKB.html'
def fetch_credit_pages():
  # TODO: Fetch credit pages
  print('TODO: Fetch credit pages and save them locally')


# Assignment 1.4 - Write a function that processes all
#  of the saved credit card files and produces a CSV
def process_credit_pages():
  #TODO: Process credit pages
  print('TODO: Process credit pages to a CSV')



# If run from the command line, the script should fetch
#  and then process both datasets.
if __name__ == "__main__":
  fetch_loyalty_pages()
  process_loyalty_pages()
  fetch_credit_pages()
  process_credit_pages()