"""
Troy Goda - inclass9.py
Algorithm
Define function called makeAverage(student,key):
    take student[key] and store as scores
    Set total to 0
    for score in scores:
       set total = total + score
    take total and divide by length of scores, store as average
    return average
import json
Ask user to enter name of JSON file to process, store handle as filename and strip whitespace + \
    and force to lowercase letters
open filename for reading, store handle as infile
use json.loadstring, read all lines in infile, and store in list called mydictionary
take ["students"] key of mydictionary, store as studentsList
for student in studentsList:
    print student["name"] + "," + " hw average: " + str(makeAverage(student,"hwscores")) + "," + \
        + " exam average: " + str(makeAverage(student,"exams"))
1)
  One reason that JSON files are better than CSV is because JSON files are processed much more easily
and efficiently than CSV.  For this assignment, a CSV file would have 7 different data separated by
commas,and you either need to label each score, or you might not process the data correctly.  You would
have to split the list and then identify which tokens goes to name, every hwscores, and every exam score.
This is much slower than using a JSON file where you can just take the keys "name", "hwscores","exams",
and automatically get the data you want.  You also need to convert all of the hwscores and exam scores
to a number, because in a CSV file list they are strings. Another reason is that you can have a
hierarchy data, like an XML, but in a much easier and simpler form to process and read the file.

Jane Doe,85.1,95.0,95.0,92.7,91.4,95.2
John Doe,95.1,90.5,90.1,91.1,81.3,85.6
Bill Gates,60,60,75,98.7,94.4,96.4

"""
def makeAverage(student,key):
    scores = student[key]
    total = 0
    for score in scores:
        total += score
    average = total / len(scores)
    return average
import json
filename = raw_input("Enter name of JSON file to process: ").strip().lower()
#filename = "studentscores.json"
infile = open(filename,"r")
mydictionary = json.loads(infile.read())
studentsList = mydictionary["students"]
for student in studentsList:
    print student["name"] + "," + " hw average: " + str(makeAverage(student,"hwscores")) + "," + \
        + " exam average: " + str(makeAverage(student,"exams"))