Book Rating System

A simple python software to analyse books and users who have read them. Thanks to addubinski

Classes

User(name, email)

Creates a user object with the following methods:

• get_email(): returns email address
• change_email(address): changes user email
• read_book(book, rating=None): adds book to user and assigns a rating
• get_average_rating(): returns the user average rating given to books
• repr(): returns representaiton string
• eq(other_user): checks for doubled user objects

Book(title: str, isbn: int)

Creates a book object with the following methods:

• get_title(): returns book title
• get_isbn(): returns book's isbn
• set_isbn(): set book's isbn
• add_rating(rating): assigns rating to the book
• get_average_rating(): gets average rating given to this book
• eq(other_book): checks if the book already exists
• hash(): makes object hashable

Fiction(author)

Subclass of Book() with the following methods:

• get_author(): returns author of Fiction()
• repr(): representation of Fiction() object

Non_Fiction(subject, level)

Subclass of Book() with the following methods:

• get_subject(): returns subject of Non Fiction
• get_level(): returns level of Non Fiction
• repr(): representation of Non_Fiction() object

TomeRater()

Class to analyse everything so far. Methods:

• create_book(title, isbn): creates Book() and returns it
• create_novel(title, author, isbn): creates Fiction() and returns it
• create_non_fiction(title, subject, level, isbn): creates Non_Fiction() and returns it
• add_book_to_user(book, email, rating=None): adds book to a user and gives a rating
• add_user(name, email, user_books=None): adds a user
• print_catalog(): prints all books added so far
• print_users(): prints all users added so far
• get_most_read_book(): gets the book read more times
• highest_rated_book(): gets the highest rated book
• most_positive_user(): returns the users with the most generous ratings