# Write code to read content from
# https://storage.googleapis.com/cs1111/examples/file/todo.csv
# then (print) display the file content on screen

# Be sure to read from the Internet,
# do not download the file to your computer


# import a library for openning URL
import urllib.request

# prepare URL to be opened
filename = 'todo.csv'
url = 'https://storage.googleapis.com/cs1111/examples/file/' + filename

# let's look at the URL
print("url = " + url)

# open the specified URL to read
# store the response object received from the server in a variable
stream = urllib.request.urlopen(url)
# print(stream)   # http.client.HTTPResponse object

# Tips:
# - Instead of "open()" when opening a file,
#   we use "urlopen()" when opening a url
# - Once opening a url, we must decode the data
#   -- unlike reading the file, we can simply read() or readline()

print("\n==== Start processing data ==== \n")

number_AM_todo = 0
number_PM_todo = 0

# read each line from the response object
for line in stream:

    # decode the string using the standard encoding scheme (UTF-8)
    # then, strip leading and tailing spaces, and split the string using ","
    decoded_data = line.decode("UTF-8").strip()
    # print(decoded_data)

    # now, add code to count the number of AM activities
    # and PM activities and print a todo_dict dictionary that
    # contains the numbers of activities
    #  {'number_AM_todo': 4, 'number_PM_todo': 7}

    todo_dict = {'number_AM': 0, 'number_PM': 0}

    columns = decoded_data.split(',')
    if 'am' in columns[1] or 'AM' in columns[1]:
        todo_dict['number_AM'] += 1
    elif 'pm' in columns[1] or 'PM' in columns[1]:
        todo_dict['number_PM'] += 1

print(todo_dict)









print('todo_dict =', todo_dict)