Imports a CSV file as a dictionary

db_import.gd

    func db_import(csv_file,dict_to_append,DICT_HEADERS_LIST):
        #EDITED: In order to loop through keys of keys as noted in the
        #EDITED section of the first post, EXTRA ARG is called DICT_HEADERS_LIST
        var file = File.new()
        #creates a new Class instance.  
        # A var will store this reference as 'file'. (file is not a string)
        file.open(csv_file,file.READ)
        #the file is read into memory.  
        # The .csv can now be manipulated with File methods.
        var is_header = true
        #this bool will toggle to false once the while loop has run once.
        var  attributes_list =  []
        #this list will store the first item of each column of the .csv
        file.seek(0)
        #this makes sure that the reader's cursor position is at the first character.
        var temp_dict = {}
        #a temporary dictionary which will only live within a call of this func.
        while !file.eof_reached():
        #this says 'While the reader's cursor is not on the last character in the .csv
            var line = file.get_csv_line()
            #a variable called line will store an array of all of 
            # the Comma Separated Strings on one line of the .csv file
            if is_header == true:
            #Is the bool is_header true?
                attributes_list = line
                #yes, it is, so set the pre-made array variable above the while loop 
                # to equal the first line (which is also an array)
                for item in attributes_list:
                #EDITED: In order to loop through keys of keys #for each item in that array variable,
                    DICT_HEADERS_LIST.append(item)
                    #EDITED: In order to loop through keys of keys #append the 
                    # list-as-arg with whatever column header is being iterated over.
                is_header = false
                #the above loop will not continue because now is_header is false.  
                # You now have a list of header attributes which will be used as keys to 
                # locate the specific values entered below them in the .csv file.
            else:
            #the header list has been created and is_header is false, so continue below
                for i in range(0,attributes_list.size()):
                #for each index, from the smallest to largest possible value in the array
                    temp_dict[attributes_list[i]] = line[i]
                    #create a key in the temp_dict variable that is named some item 
                    # of the attribute_list i.e. the list of headers.
                    #which header is used is notated by the index.
                    #this created key will be defined i.e. have the value of an item in an array of strings 
                    # i.e. the array of strings taken from a line in the .csv file.
                dict_to_append[line[0]] = temp_dict
                #our permanent dictionary which we want to create will have a key 
                # that is named to be the first item in every line but the first's first item
                temp_dict = {}
                #Edited as of 8/26/2016 , temp dict has to be cleared or it will only contain the last value
        print(dict_to_append)