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Viewing Party

Skills Assessed

Solving problems with...

  • Conditional logic
  • Lists
  • Dictionaries
  • Nested loops
  • Nested data structures
  • Pair-programming techniques

Goal

You and your friends enjoy watching things together online. Of course, everyone has seen different things, has different favorites, and different things they want to watch.

You've been using a spreadsheet to compare everyone's watched list, favorites list, and watchlist, but it's been getting too cumbersome. In order to find things you've watched and your friends haven't watched, or things that your friends have watched and you haven't watched, you have to comb through the spreadsheet. You know that there are different ways we can get that information: we can use Python!

For this project, you and your partner will be given some data structure that represents the things you've watched, favorited, and want to watch. The directions below will lead you and your partner to create a series of functions. These functions will modify the data, and implement features like adding and removing things between different lists. Other features include creating recommendations!

Wave 1

  1. Create a function named create_movie. This function and all subsequent functions should be in party.py. create_movie should...
  • take three parameters: title, genre, rating
  • If those three attributes are truthy, then return a dictionary. This dictionary should...
    • Have three key-value pairs, with specific keys
    • The three keys should be "title", "genre", and "rating"
    • The values of these key-value pairs should be appropriate values
  • If title is falsy, genre is falsy, or rating is falsy, this function should return None
  1. Create a function named add_to_watched. This function should...
  • take two parameters: user_data, movie
    • the value of user_data will be a dictionary with a key "watched", and a value which is a list of dictionaries representing the movies the user has watched
      • An empty list represents that the user has no movies in their watched list
    • the value of movie will be a dictionary in this format: 
      • {
  "title": "Title A",
  "genre": "Horror",
  "rating": 3.5
}
  • add the movie to the "watched" list inside of user_data
  • return the user_data
  1. Create a function named add_to_watchlist. This function should...
  • take two parameters: user_data, movie
    • the value of user_data will be a dictionary with a key "watchlist", and a value which is a list of dictionaries representing the movies the user wants to watch
      • An empty list represents that the user has no movies in their watchlist
    • the value of movie will be a dictionary in this format: 
      • {
  "title": "Title A",
  "genre": "Horror",
  "rating": 3.5
}
  • add the movie to the "watchlist" list inside of user_data
  • return the user_data
  1. Create a function named watch_movie. This function should...
  • take two parameters: user_data, title
    • the value of user_data will be a dictionary with a "watchlist" and a "watched"
      • This represents that the user has a watchlist and a list of watched movies
    • the value of title will be a string
      • This represents the title of the movie the user has watched
  • If the title is in a movie in the user's watchlist:
    • remove that movie from the watchlist
    • add that movie to watched
    • return the user_data
  • If the title is not a movie in the user's watchlist:
    • return the user_data

Note: For Waves 2, 3, 4, and 5, your implementation of each of the functions should not modify user_data.

Wave 2

  1. Create a function named get_watched_avg_rating. This function should...
  • take one parameter: user_data
    • the value of user_data will be a dictionary with a "watched" list of movie dictionaries
      • This represents that the user has a list of watched movies
  • Calculate the average rating of all movies in the watched list
    • The average rating of an empty watched list is 0.0
  • return the average rating
  1. Create a function named get_most_watched_genre. This function should...
  • take one parameter: user_data
    • the value of user_data will be a dictionary with a "watched" list of movie dictionaries. Each movie dictionary has a key "genre".
      • This represents that the user has a list of watched movies. Each watched movie has a genre.
      • The values of "genre" is a string.
  • Determine which genre is most frequently occurring in the watched list
  • return the genre that is the most frequently watched
  • If the value of "watched" is an empty list, get_most_watched_genre should return None.

Wave 3

  1. Create a function named get_unique_watched. This function should...
  • take one parameter: user_data
    • the value of user_data will be a dictionary with a "watched" list of movie dictionaries, and a "friends"
      • This represents that the user has a list of watched movies and a list of friends
      • The value of "friends" is a list
      • Each item in "friends" is a dictionary. This dictionary has a key "watched", which has a list of movie dictionaries.
      • Each movie dictionary has a "title".
  • Consider the movies that the user has watched, and consider the movies that their friends have watched. Determine which movies the user has watched, but none of their friends have watched.
  • Return a list of dictionaries, that represents a list of movies
  1. Create a function named get_friends_unique_watched. This function should...
  • take one parameter: user_data
    • the value of user_data will be a dictionary with a "watched" list of movie dictionaries, and a "friends"
      • This represents that the user has a list of watched movies and a list of friends
      • The value of "friends" is a list
      • Each item in "friends" is a dictionary. This dictionary has a key "watched", which has a list of movie dictionaries.
      • Each movie dictionary has a "title".
  • Consider the movies that the user has watched, and consider the movies that their friends have watched. Determine which movies at least one of the user's friends have watched, but the user has not watched.
  • Return a list of dictionaries, that represents a list of movies

Wave 4

  1. Create a function named get_available_recs. This function should...
  • take one parameter: user_data
    • user_data will have a field "subscriptions". The value of "subscriptions" is a list of strings
      • This represents the names of streaming services that the user has access to
      • Each friend in "friends" has a watched list. Each movie in the watched list has a "host", which is a string that says what streaming service it's hosted on
  • Determine a list of recommended movies. A movie should be added to this list if and only if:
    • The user has not watched it
    • At least one of the user's friends has watched
    • The "host" of the movie is a service that is in the user's "subscriptions"
  • Return the list of recommended movies

Wave 5

  1. Create a function named get_new_rec_by_genre. This function should...
  • take one parameter: user_data
  • Consider the user's most frequently watched genre. Then, determine a list of recommended movies. A movie should be added to this list if and only if:
    • The user has not watched it
    • At least one of the user's friends has watched
    • The "genre" of the movie is the same as the user's most frequent genre
  • Return the list of recommended movies
  1. Create a function named get_rec_from_favorites. This function should...
  • take one parameter: user_data
    • user_data will have a field "favorites". The value of "favorites" is a list of movie dictionaries
      • This represents the user's favorite movies
  • Determine a list of recommended movies. A movie should be added to this list if and only if:
    • The movie is in the user's "favorites"
    • None of the user's friends have watched it
  • Return the list of recommended movies