def read_csv_file_movies(self):
with open(self.__file_name, mode='r', encoding='utf-8-sig') as csvfile:
self.dataset_of_movies = []
movie_file_reader = csv.DictReader(csvfile)
index = 0
for row in movie_file_reader:
movie = Movie(row["Title"], int(row["Year"]))
movie.description = row["Description"]
movie.runtime_minutes = int(row["Runtime (Minutes)"])
if row["Rating"] != "N/A":
movie.rating = float(row['Rating'])
if row["Votes"] != "N/A":
movie.votes = int(row["Votes"])
if row["Revenue (Millions)"] != "N/A":
movie.revenue_millions = float(row["Revenue (Millions)"])
if row["Metascore"] != "N/A":
movie.metascore = int(row["Metascore"])
for director in self.__dataset_of_directors:
if director.director_full_name == row["Director"]:
movie.director = director
temp_actor_list = []
for actor in row["Actors"].split(","):
temp_actor_list.append(actor.strip())
temp_genre_list = []
for genre in row["Genre"].split(","):
temp_genre_list.append(genre.strip())
for actor in self.__dataset_of_actors:
if actor.actor_full_name in temp_actor_list:
movie.add_actor(actor)
for genre in self.__dataset_of_genres:
if genre.genre_name in temp_genre_list:
movie.add_genre(genre)
index += 1
self.dataset_of_movies.append(movie)
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:
movie = Movie(row["Title"], int(row["Year"]))
movie.description = row["Description"]
movie.runtime_minutes = int(row["Runtime (Minutes)"])
self.__total_runtime_minutes += int(row["Runtime (Minutes)"])
self.__runtime_minutes_number_of_movies += 1
if row["Rating"] != "N/A":
movie.rating = float(row['Rating'])
self.__total_rating += float(row['Rating'])
self.__rating_number_of_movies += 1
if row["Votes"] != "N/A":
movie.votes = int(row["Votes"])
self.__total_votes += int(row["Votes"])
self.__votes_number_of_movies += 1
if row["Revenue (Millions)"] != "N/A":
movie.revenue_millions = float(row["Revenue (Millions)"])
self.__total_revenue_millions += float(
row["Revenue (Millions)"])
self.__revenue_millions_number_of_movies += 1
if row["Metascore"] != "N/A":
movie.metascore = int(row["Metascore"])
self.__total_metascore += int(row["Metascore"])
self.__metascore_number_of_movies += 1
movie.director = Director(row["Director"])
self.__dataset_of_directors.add(Director(row["Director"]))
for actor in row["Actors"].split(","):
movie.add_actor(Actor(actor.strip()))
self.__dataset_of_actors.add(Actor(actor.strip()))
for genre in row["Genre"].split(","):
movie.add_genre(Genre(genre.strip()))
self.__dataset_of_genres.add(Genre(genre.strip()))
index += 1
self.__dataset_of_movies.append(movie)
def test_rating_type(movie):
movie = Movie("Moana", 2016)
with pytest.raises(ValueError):
movie.rating = "banana"
def test_rating_out_bounds_upper(movie):
movie = Movie("Moana", 2016)
with pytest.raises(ValueError):
movie.rating = 10.5
def test_rating(movie):
movie = Movie("Moana", 2016)
movie.rating = 9.5
assert movie.rating == 9.5