def test_metascores(self):
movie = Movie("Moana", 2016, 7)
movie.metascores = "23"
assert movie.metascores == 23
movie1 = Movie("Up", 2009, 8)
movie1.revenue = "N/A"
assert movie1.metascores is None
movie2 = Movie("", 0, 1)
movie2.metascores = 41
assert movie2.metascores == 41
movie3 = Movie("", 0, 1)
movie3.metascores = -2
assert movie3.metascores is None
def read_csv_file(self):
with open(self.__file_name, mode='r', encoding='utf-8-sig') as csvfile:
movie_file_reader = csv.DictReader(csvfile)
index = 0
for row in movie_file_reader:
title = row['Title']
release_year = int(row['Year'])
actors = row['Actors'].split(",")
genres = row['Genre'].split(",")
director = Director(row['Director'])
rating = row['Rating']
votes = row['Votes']
revenue = row['Revenue (Millions)']
metascore = row['Metascore']
movie = Movie(title, release_year, index + 1)
movie.director = director
# extension attribute application
movie.external_rating = rating
movie.rating_votes = votes
movie.revenue = revenue
movie.metascores = metascore
# adding the actors, genres, director and the movie to the corresponding datasets
for i in range(len(actors)):
actor = Actor(actors[i])
movie.add_actor(actor)
if actor not in self.__dataset_of_actors:
# adding only unique actors to the dataset
self.__dataset_of_actors.add(actor)
for i in range(len(genres)):
genre = Genre(genres[i])
movie.add_genre(genre)
if genre not in self.__dataset_of_genres:
# adding only unique genres to the dataset
self.__dataset_of_genres.add(genre)
if movie.director not in self.__dataset_of_directors:
# adding only unique directors to the dataset
self.__dataset_of_directors.add(movie.director)
self.__dataset_of_movies.append(movie)
index += 1
