new_contents: import nltk
  import ner
  import re
  import json
  import os
  import urllib2
  from urllib import urlencode
  
  from pprint import pprint
  
  # open the contents
  with open('CodeAssignmentDataSet.json') as json_file:
      json_data = json.load(json_file)
      json_file.close()
      pprint(json_data[0:4])
      
  # The OMDB API's constant for searching movie titles
  titleUrl = "http://www.omdbapi.com/?"   # i=&t=
   
  # Fetches a movie from OMDB API as a Json object
  # Note: expects a full title name
  def fetchMovie(predicate):
      predicate = urlencode({'i': predicate, 't': predicate})
      request = urllib2.Request(titleUrl + predicate, None, {'user-agent':'whatever'})
      opener = urllib2.build_opener()
      stream = opener.open(request)
      return json.load(stream)
      
      
  # search names of actors and movie/show titles from description and title
  def name(sentence):
      r = re.compile('([A-Z]\w+(?=[\s\-][A-Z])(?:[\s\-][A-Z]\w+)+)', re.UNICODE)
      match = r.findall(sentence)
      #assert(match is not None)
      #extracted = match.group(0)
      return match #extracted
      
  # take the union of two lists of dictionaries
  def union(a, b):
      """ return the union of two lists """
      return list(set(a) | set(b))
      
  name_from_title = name(json_data[2].get('title'))
  name_from_description = name(json_data[2].get('description'))
  names = union(name_from_title, name_from_description)
  print names
  
  # If a fanous movie or actor is confirmed, it will be updated into the orgininal data set
  #
  for item in json_data[0:4]:
      xx = {'FamousMovie': fetchMovie(names[0])['Title']}
      item.update(xx)
      
  pprint (json_data[0:4])
  
subject: Create FEMInc_interview_questions.py