def stats():
movie = Movie('Up', 2009)
movie.add_actor(Actor("Will Smith"))
movie.add_actor(Actor("Daniel Radcliff"))
movie.add_genre(Genre("Comedy"))
movie.add_genre(Genre("Drama"))
director = Director("Peter Jackson")
movie.director = director
movie1 = Movie('Down', 2013)
movie1.add_actor(Actor("Tom Cruise"))
movie1.add_actor(Actor("Selena Gomez"))
movie1.add_genre(Genre("Comedy"))
movie1.add_genre(Genre("Romance"))
director = Director("Peter Jackson")
movie1.director = director
movie2 = Movie('Boom', 1999)
movie2.add_actor(Actor("Will Smith"))
movie2.add_actor(Actor("Tom Cruise"))
movie2.add_genre(Genre("Comedy"))
movie2.add_genre(Genre("Action"))
director = Director("Taika Waititi")
movie2.director = director
user = User("aram", "one1")
user.watch_movie(movie)
user.watch_movie(movie1)
user.watch_movie(movie2)
stats = Stats(user)
return stats
def test_init():
movie1 = Movie("Moana", 2016)
assert repr(movie1) == "<Movie Moana, 2016>"
movie1.director(Director("Ron Clements"))
assert "<Director Ron Clements>"
movie2 = Movie("Kung fu Panda", 1821)
assert repr(movie2) == "<Movie Kung fu Panda, None>"
def movie_list():
m1 = Movie("Twilight", 2008)
m1.add_actor(Actor("Robert Pattinson"))
m2 = Movie("Moana", 2016)
m2.add_actor(Actor("Dwayne Johnson"))
m3 = Movie("Furious 7", 2015)
m3.add_actor(Actor("Dwayne Johnson"))
m3.add_actor(Actor("Paul Walker"))
m3.director = Director("James Wan")
m4 = Movie("Furious 6", 2013)
m4.add_actor(Actor("Dwayne Johnson"))
m4.add_actor(Actor("Paul Walker"))
m4.director = Director("Justin Lin")
return [m1, m2, m3, m4]
def read_csv_file(self):
with open(self.__file_name, mode='r', encoding='utf-8-sig') as csvfile:
movie_file_reader = csv.DictReader(csvfile)
for row in movie_file_reader:
title = row['Title']
release_year = int(row['Year'])
movie = Movie(title, release_year)
self.__dataset_of_movies.append(movie)
actors = row["Actors"]
actors = actors.split(",")
for actor in actors:
actor = Actor(actor)
movie.add_actor(actor)
if actor not in self.__dataset_of_actors:
self.__dataset_of_actors.append(actor)
director = Director(row["Director"])
movie.director = director
if director not in self.__dataset_of_directors:
self.__dataset_of_directors.append(director)
genres = row["Genre"]
genres = genres.split(",")
for genre in genres:
genre = Genre(genre)
movie.add_genre(genre)
if genre not in self.__dataset_of_genres:
self.__dataset_of_genres.append(genre)
movie.description = row["Description"]
movie.runtime_minutes = row["Runtime (Minutes)"]
def test_setters(self): # inherently tests getters too
a_movie = Movie("Back To The Future", 1965)
director1 = Director("Brad Bird")
a_movie.title = " Mission Impossible: Ghost Protocol "
assert a_movie.title == "Mission Impossible: Ghost Protocol"
a_movie.title = 15
#assert a_movie.title == "Mission Impossible: Ghost Protocol"
a_movie.description = " An action movie "
assert a_movie.description == "An action movie"
a_movie.director = director1
assert a_movie.director == director1
actor1 = Actor("Tom Cruise")
actor2 = Actor("Simon Pegg")
a_movie.actors = [actor1, actor2]
assert a_movie.actors == [actor1, actor2]
genre1 = Genre("Action")
genre2 = Genre("Comedy")
a_movie.genres = [genre1, genre2]
assert a_movie.genres == [genre1, genre2]
a_movie.runtime_minutes = 100
assert a_movie.runtime_minutes == 100
assert type(a_movie.runtime_minutes) == int
with pytest.raises(ValueError):
a_movie.runtime_minutes = 0
a_movie.runtime_minutes = -10
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'])
movie = Movie(title, release_year)
for actor in row['Actors'].split(","):
actor = Actor(actor.strip())
if actor not in self.__actors:
self.__actors.add(actor)
movie.add_actor(actor)
director = Director(row['Director'].strip())
if director not in self.__directors:
self.__directors.add(director)
movie.director = director
for genre in row['Genre'].split(','):
genre = Genre(genre.strip())
if genre not in self.__genres:
self.__genres.add(genre)
movie.add_genre(genre)
movie.runtime_minutes = row["Runtime (Minutes)"]
movie.description = row["Description"]
self.__movies.append(movie)
index += 1
def test_movies():
movie_file_reader = MovieFileCSVReader('test.csv')
movie_file_reader.read_csv_file()
movie1 = Movie("Guardians of the Galaxy", 2014)
movie1.description = "A group of intergalactic criminals are forced to work together to stop a fanatical warrior from taking control of the universe."
movie1.runtime_minutes = 121
movie1.votes = 757074
movie1.rating = 8.1
movie1.add_genre(Genre("Action"))
movie1.add_genre(Genre("Adventure"))
movie1.add_genre(Genre("Sci-Fi"))
movie1.add_actor(Actor("Chris Pratt"))
movie1.add_actor(Actor("Vin Diesel"))
movie1.add_actor(Actor("Bradley Cooper"))
movie1.add_actor(Actor("Zoe Saldana"))
movie1.director = Director("James Gunn")
assert movie_file_reader.dataset_of_movies[0] == movie1
assert movie_file_reader.dataset_of_movies[0].runtime_minutes == movie1.runtime_minutes
assert movie_file_reader.dataset_of_movies[0].description == movie1.description
assert movie_file_reader.dataset_of_movies[0].votes == movie1.votes
assert movie_file_reader.dataset_of_movies[0].rating == movie1.rating
assert movie_file_reader.dataset_of_movies[0].actors == movie1.actors
assert movie_file_reader.dataset_of_movies[0].genres == movie1.genres
assert movie_file_reader.dataset_of_movies[0].director == movie1.director
assert movie_file_reader.dataset_of_actors[0] == Actor("Chris Pratt")
assert movie_file_reader.dataset_of_actors[1] == Actor("Vin Diesel")
assert movie_file_reader.dataset_of_actors[2] == Actor("Bradley Cooper")
assert movie_file_reader.dataset_of_actors[3] == Actor("Zoe Saldana")
assert repr(movie_file_reader.dataset_of_actors[0].actor_colleague_list) == "[<Actor Vin Diesel>, <Actor Bradley Cooper>, <Actor Zoe Saldana>, <Actor Jennifer Lawrence>, <Actor Michael Sheen>, <Actor Laurence Fishburne>, <Actor Denzel Washington>, <Actor Ethan Hawke>, <Actor Vincent D'Onofrio>, <Actor Bryce Dallas Howard>, <Actor Ty Simpkins>, <Actor Judy Greer>, <Actor Will Ferrell>, <Actor Elizabeth Banks>, <Actor Will Arnett>, <Actor Jessica Chastain>, <Actor Joel Edgerton>, <Actor Mark Strong>, <Actor Channing Tatum>, <Actor Rosario Dawson>, <Actor Jenna Dewan Tatum>]"
assert movie_file_reader.dataset_of_directors[0] == Director("James Gunn")
assert movie_file_reader.dataset_of_genres[0] == Genre("Action")
assert movie_file_reader.dataset_of_genres[1] == Genre("Adventure")
assert movie_file_reader.dataset_of_genres[2] == Genre("Sci-Fi")
def test_movie_set_director(self):
movie = Movie("Moana", 2016)
movie.description = " This is a movie "
assert movie.description == "This is a movie"
movie.director = Director("Ron Clements")
assert movie.director.director_full_name is "Ron Clements"
assert repr(movie.director) == "<Director Ron Clements>"
def test_movie_runtime(self):
movie = Movie("Moana", 2016)
movie.description = " This is a movie "
assert movie.description == "This is a movie"
movie.director = Director("Ron Clements")
assert movie.director.director_full_name is "Ron Clements"
assert repr(movie.director) == "<Director Ron Clements>"
actors = [
Actor("Auli'i Cravalho"),
Actor("Dwayne Johnson"),
Actor("Rachel House"),
Actor("Temuera Morrison")
]
for actor in actors:
movie.add_actor(actor)
assert repr(
movie.actors
) == "[<Actor Auli\'i Cravalho>, <Actor Dwayne Johnson>, <Actor Rachel House>, <Actor Temuera Morrison>]"
movie.remove_actor(Actor("Dwayne Johnson"))
assert repr(
movie.actors
) == "[<Actor Auli\'i Cravalho>, <Actor Rachel House>, <Actor Temuera Morrison>]"
genres = [Genre("Animated"), Genre("Comedy")]
for genre in genres:
movie.add_genre(genre)
assert repr(movie.genres) == "[<Genre Animated>, <Genre Comedy>]"
movie.remove_genre(Genre("Comedy"))
assert repr(movie.genres) == "[<Genre Animated>]"
movie.runtime_minutes = 100
assert movie.runtime_minutes is 100
def read_csv_file(self):
with open(self.__file_name, mode='r', encoding='utf-8-sig') as csvfile:
movie_file_reader = csv.DictReader(csvfile)
for row in movie_file_reader:
movie = Movie(row['Title'], int(row['Year']))
movie.description = row['Description']
movie.runtime_minutes = int(row['Runtime (Minutes)'])
director = Director(row['Director'])
self.__dataset_of_directors.add(director)
movie.director = director
parsed_genres = row['Genre'].split(',')
for genre_string in parsed_genres:
genre = Genre(genre_string)
self.__dataset_of_genres.add(genre)
movie.add_genre(genre)
parsed_actors = row['Actors'].split(',')
for actor_string in parsed_actors:
actor = Actor(actor_string)
self.__dataset_of_actors.add(actor)
movie.add_actor(actor)
self.__dataset_of_movies.append(movie)
def test_director():
movie1 = Movie("Spirited Away", 2000)
movie2 = Movie("Your Name", 2000)
movie3 = Movie("Batman", 2000)
movie4 = Movie(None, None)
movie1.director = Director("BB Huang")
assert movie1.director == Director("BB Huang")
movie1.director = Director("Jack Huang")
assert movie1.director == Director("Jack Huang")
movie2.director = "Jack Huang"
assert movie2.director == None
movie3.director = 123456
assert movie3.director == None
movie3.director = None
assert movie4.director == None
def test_code_runner():
movie = Movie("Moana", 2016)
assert movie.title == "Moana"
assert movie.release_year == 2016
director = Director("Ron Clements")
movie.director = director
assert movie.director == Director("Ron Clements")
actors = [
Actor("Auli'i Cravalho"),
Actor("Dwayne Johnson"),
Actor("Rachel House"),
Actor("Temuera Morrison")
]
for actor in actors:
movie.add_actor(actor)
assert movie.actors == [
Actor("Auli'i Cravalho"),
Actor("Dwayne Johnson"),
Actor("Rachel House"),
Actor("Temuera Morrison")
]
movie.runtime_minutes = 107
assert movie.runtime_minutes == 107
def read_csv_file(self):
with open(self.__file_name, mode='r', encoding='utf-8-sig') as csvfile:
movie_file_reader_genre = csv.DictReader(csvfile)
for row in movie_file_reader_genre:
movie = row['Title']
actors = sorted(row['Actors'].strip().split(','))
for i in range(len(actors)):
actors[i] = actors[i].strip()
director = row['Director']
genres = sorted(row['Genre'].strip().split(','))
for i in range(len(genres)):
genres[i] = genres[i].strip()
year = int(row['Year'].strip())
description = row['Description'].strip()
runtime = int(row['Runtime (Minutes)'].strip())
if self.__genre_type in genres:
the_movie = Movie(movie, year)
the_director = Director(director)
the_movie.director = the_director
for i in range(len(actors)):
the_actor = Actor(actors[i])
the_movie.actors.append(the_actor)
the_movie.description = description
the_movie.runtime_minutes = runtime
the_movie.director = the_director
for i in range(len(genres)):
the_genre = Genre(genres[i])
the_movie.genres.append(the_genre)
if the_movie not in self.__dataset_of_movies:
flag = True
for i in range(len(self.__dataset_of_movies)):
if the_movie < self.__dataset_of_movies[i]:
self.__dataset_of_movies.insert(i, the_movie)
flag = False
break
if flag:
self.__dataset_of_movies.insert(i, the_movie)
self.__dataset_of_movies.pop()
def read_csv_file(self):
with open(self.__file_name, mode='r', encoding='utf-8-sig') as csvfile:
movie_file_reader = csv.DictReader(csvfile)
for row in movie_file_reader:
try:
rank = int(row['Rank'])
except ValueError:
rank = None
title = row['Title']
genres = row['Genre'].split(',')
description = row['Description']
actors = row['Actors'].split(',')
try:
release_year = int(row['Year'])
except ValueError:
release_year = None
try:
run_time = int(row['Runtime (Minutes)'])
except ValueError:
run_time = None
try:
rating = int(row['Rating'])
except ValueError:
rating = 0
try:
votes = int(row['Votes'])
except ValueError:
votes = 0
director = Director(row['Director'])
try:
revenue = float(row['Revenue (Millions)'])
except ValueError:
revenue = None
try:
metascore = int(row['Metascore'])
except ValueError:
metascore = None
mov = Movie(title, release_year)
mov.director = director
mov.description = description
mov.metascore = metascore
mov.rank = rank
mov.runtime_minutes = run_time
mov.rating = rating
mov.votes = votes
mov.revenue = revenue
self.load_actors(mov, actors)
if director not in self.__directors:
self.__directors.add(director)
self.load_genres(mov, genres)
if mov not in self.__movies:
self.__movies.append(mov)
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"])
movie = Movie(title, release_year)
movie.description = row["Description"]
director = row["Director"]
movie.director = director
if Director(director) not in self.__dataset_of_directors:
self.__dataset_of_directors.append(Director(director))
actors = row["Actors"].split(",")
for actor in actors:
movie.add_actor(Actor(actor))
if Actor(actor) not in self.__dataset_of_actors:
self.__dataset_of_actors.append(Actor(actor))
genres = row["Genre"].split(",")
for genre in genres:
movie.add_genre(Genre(genre))
if Genre(genre) not in self.__dataset_of_genres:
self.__dataset_of_genres.append(Genre(genre))
movie.runtime_minutes = int(row["Runtime (Minutes)"])
try:
movie.external_rating = float(row["Rating"])
except ValueError:
pass
try:
movie.rating_votes = int(row["Votes"])
except ValueError:
pass
try:
movie.revenue_in_millions = float(row["Revenue (Millions)"])
except ValueError:
pass
try:
movie.metascore = int(row["Metascore"])
except ValueError:
pass
self.__dataset_of_movies.append(movie)
# title = row['Title']
# release_year = int(row['Year'])
# print(f"Movie {index} with title: {title}, release year {release_year}")
index += 1
def _read_row(self, row: _ROW) -> Movie:
"""
Helper method to construct a Movie from a row.
Raises:
ValueError: unable to parse row: {row}
"""
error = False
try:
title = row['Title']
genres = [
self._get_genre(Genre(name))
for name in row['Genre'].split(',')
]
description = row['Description']
director = self._get_director(Director(row['Director']))
actors = [
self._get_actor(Actor(name))
for name in row['Actors'].split(',')
]
release_year = int(row['Year'])
runtime_minutes = int(row['Runtime (Minutes)'])
rating = float(row['Rating'])
votes = int(row['Votes'])
revenue_millions = float(
row['Revenue (Millions)']
) if row['Revenue (Millions)'] != 'N/A' else None
metascore = int(
row['Metascore']) if row['Metascore'] != 'N/A' else None
except KeyError:
error = True
except ValueError:
error = True
if error:
raise ValueError(f'unable to parse row: {row}')
movie = Movie(title, release_year)
movie.genres = genres
movie.description = description
movie.director = director
movie.actors = actors
movie.runtime_minutes = runtime_minutes
movie.rating = rating
movie.votes = votes
if revenue_millions:
movie.revenue_millions = revenue_millions
if metascore:
movie.metascore = metascore
return movie
def create_movie_instance(self, row):
movie = Movie(row["Title"], int(row["Year"]))
movie.director = Director(row["Director"])
movie.runtime_minutes = int(row["Runtime (Minutes)"])
movie.actors = [
Actor(actor.strip()) for actor in row['Actors'].split(",")
]
movie.genres = [
Genre(genre.strip()) for genre in row['Genre'].split(",")
]
movie.description = row["Description"]
return 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:
try:
movie = Movie(row['Title'], int(row['Year']))
except ValueError:
print("Invalid release year")
else:
director = Director(row['Director'].strip())
actors = row['Actors'].split(",")
genres = row['Genre'].split(",")
movie.director = director
if director not in self.__dataset_of_directors:
self.__dataset_of_directors.append(director)
movie.description = row['Description'].strip()
for actor_name in actors:
actor_name = actor_name.strip()
actor = Actor(actor_name.strip())
if actor in self.dataset_of_actors:
i = self.dataset_of_actors.index(actor)
actor = self.dataset_of_actors[i]
else:
self.__dataset_of_actors.append(actor)
for actor1_name in actors:
actor1_name = actor1_name.strip()
if not actor.check_if_this_actor_worked_with(Actor(actor1_name)) and (actor_name != actor1_name):
actor.add_actor_colleague(Actor(actor1_name))
movie.add_actor(actor)
for genre_name in genres:
genre = Genre(genre_name.strip())
movie.add_genre(genre)
if genre not in self.__dataset_of_genres:
self.__dataset_of_genres.append(genre)
try:
movie.runtime_minutes = int(row['Runtime (Minutes)'])
except ValueError:
movie.runtime_minutes = None
try:
movie.votes = int(row['Votes'])
except ValueError:
movie.votes = None
try:
movie.rating = float(row['Rating'])
except ValueError:
movie.rating = None
if movie not in self.__dataset_of_movies: # Check if this takes into account the same movie but different objects
self.__dataset_of_movies.append(movie)
index += 1
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'])
#print(f"Movie {index} with title: {title}, release year {release_year}")
m = Movie(title, release_year)
m.description = row['Description']
director = Director(row['Director'])
try:
# if director exists, assign the same director object to the movie
index = self.dataset_of_directors.index(director)
director = self.dataset_of_directors[index]
except ValueError:
self.dataset_of_directors.append(director)
m.director = director
m.votes = int(row['Votes'])
m.rating = float(row['Rating'])
m.runtime_minutes = int(row['Runtime (Minutes)'])
if row['Metascore'] != 'N/A':
m.metascore = float(row['Metascore'])
if row['Revenue (Millions)'] != 'N/A':
m.revenue = float(row['Revenue (Millions)'])
for g in row['Genre'].split(","):
genre = Genre(g)
try:
index = self.dataset_of_genres.index(genre)
genre = self.dataset_of_genres[index]
except ValueError:
self.dataset_of_genres.append(genre)
m.add_genre(genre)
for a in row['Actors'].split(","):
actor = Actor(a)
try:
index = self.dataset_of_actors.index(actor)
actor = self.dataset_of_actors[index]
except ValueError:
self.dataset_of_actors.append(actor)
m.add_actor(actor)
if m not in self.dataset_of_movies:
self.dataset_of_movies.append(m)
def test_init(self):
movie1 = Movie("Moana", 2016)
#movie1.release_year = 2017
assert repr(movie1) == "<Movie Moana, 2016>"
director1 = Director("Ron Clements")
movie1.director = director1
the_director = movie1.director
assert the_director == director1
print(movie1.director)
actors = [Actor("Auli'i Cravalho"), Actor("Dwayne Johnson"), Actor("Rachel House"), Actor("Temuera Morrison")]
for actor in actors:
movie1.add_actor(actor)
print(movie1.actors)
movie1.runtime_minutes = 107
print("Movie runtime: {} minutes".format(movie1.runtime_minutes))
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']
genres = row['Genre']
description = row['Description']
release_year = int(row['Year'])
director = row["Director"]
actors = row["Actors"]
runtime = int(row["Runtime (Minutes)"])
rating = row["Rating"]
votes = row["Votes"]
revenue = row["Revenue (Millions)"]
metascore = row["Metascore"]
#print(f"Movie {index} with title: {title}, release year {release_year}")
#print(index, title, genre, release_year, director, actors, runtime, rating, votes, revenue, metascore)
movie_director = Director(director)
movie = Movie(title, release_year)
movie.director = movie_director
movie.description = description.strip()
for actor in actors.split(","):
actor = Actor(actor)
movie.add_actor(actor)
if actor not in self.__dataset_of_actors:
self.__dataset_of_actors.append(actor)
movie.runtime_minutes = runtime
for genre in genres.split(","):
genre = Genre(genre)
movie.add_genre(genre)
if genre not in self.__dataset_of_genres:
self.__dataset_of_genres.append(genre)
if movie not in self.__dataset_of_movies:
self.__dataset_of_movies.append(movie)
if movie_director not in self.__dataset_of_directors:
self.__dataset_of_directors.append(movie_director)
index += 1
def test_movie_set_actors(self):
movie = Movie("Moana", 2016)
movie.description = " This is a movie "
assert movie.description == "This is a movie"
movie.director = Director("Ron Clements")
assert movie.director.director_full_name is "Ron Clements"
assert repr(movie.director) == "<Director Ron Clements>"
actors = [
Actor("Auli'i Cravalho"),
Actor("Dwayne Johnson"),
Actor("Rachel House"),
Actor("Temuera Morrison")
]
for actor in actors:
movie.add_actor(actor)
assert repr(
movie.actors
) == "[<Actor Auli\'i Cravalho>, <Actor Dwayne Johnson>, <Actor Rachel House>, <Actor Temuera Morrison>]"
def test_basic():
movie = Movie("Moana", 2015)
assert str(movie) == "<Movie Moana, 2015>"
director = Director("Ron Clements")
movie.director = director
assert movie.director == Director("Ron Clements")
actors = [
Actor("Auli'i Cravalho"),
Actor("Dwayne Johnson"),
Actor("Rachel House"),
Actor("Temuera Morrison")
]
for actor in actors:
movie.add_actor(actor)
assert movie.actors == actors
movie.runtime_minutes = 107
assert movie.runtime_minutes == 107
def populated_movies(genres, directors, actors):
movies = []
for i in range(10):
movie = Movie(f'Movie{i}', 2000 + i)
movie.genres = [genres[i]]
movie.description = f'Description{i}'
movie.director = directors[i]
movie.actors = [actors[i]]
movie.runtime_minutes = i + 1
movie.rating = float(i)
movie.votes = i
if i % 2 == 0:
movie.revenue_millions = float(i + 1)
if i % 4 == 0:
movie.metascore = i * 10
movies.append(movie)
return movies
def read_csv_file(self):
with open(self.__file_name, mode='r', encoding='utf-8-sig') as csvfile:
movie_file_reader = csv.DictReader(csvfile)
for row in movie_file_reader:
rank = row['Rank']
# make movie from data
movie = Movie(row['Title'], int(row['Year']))
movie.description = row['Description']
movie.runtime_minutes = int(row['Runtime (Minutes)'])
movie.external_rating = float(
row['Rating']) if row['Rating'] != "N/A" else None
movie.rating_votes = int(
row['Votes']) if row['Votes'] != "N/A" else None
movie.revenue = float(
row['Revenue (Millions)']
) if row['Revenue (Millions)'] != "N/A" else None
movie.metascore = int(
row['Metascore']) if row['Metascore'] != "N/A" else None
director = Director(row['Director'])
actors = row['Actors'].split(",")
genres = row['Genre'].split(",")
movie.director = director
self._directors.add(director)
for actor in actors:
actor = Actor(actor)
movie.add_actor(actor)
self._actors.add(actor)
for genre in genres:
genre = Genre(genre)
movie.add_genre(genre)
self._genres.add(genre)
self.dataset_of_movies.add(movie)
def test_update(stats):
movie2 = Movie('Brain', 2002)
movie2.add_actor(Actor("Julia Roberts"))
movie2.add_actor(Actor("Tom Cruise"))
movie2.add_genre(Genre("Sci-Fi"))
movie2.add_genre(Genre("Action"))
director = Director("Christopher Nolan")
movie2.director = director
stats.user.watch_movie(movie2)
stats.update_watched_lists()
assert stats.user == User("aram", "one1")
assert stats.watched_movies == [
Movie("Up", 2009),
Movie("Down", 2013),
Movie("Boom", 1999),
Movie("Brain", 2002)
]
assert stats.watched_actors == {
Actor("Will Smith"): 2,
Actor("Daniel Radcliff"): 1,
Actor("Selena Gomez"): 1,
Actor("Tom Cruise"): 3,
Actor("Julia Roberts"): 1
}
assert stats.watched_directors == {
Director("Peter Jackson"): 2,
Director("Taika Waititi"): 1,
Director("Christopher Nolan"): 1
}
assert stats.watched_genres == {
Genre("Comedy"): 3,
Genre("Romance"): 1,
Genre("Drama"): 1,
Genre("Action"): 2,
Genre("Sci-Fi"): 1
}
def test_movies(self):
movie = Movie("Moana", 2016)
print(movie)
movie2 = Movie("Moana", 1901)
print(movie.release_year)
director = Director("Ron Clements")
movie.director = director
print(movie.director)
actors = [
Actor("Auli'i Cravalho"),
Actor("Dwayne Johnson"),
Actor("Rachel House"),
Actor("Temuera Morrison")
]
for actor in actors:
movie.add_actor(actor)
print(movie.actors)
movie.runtime_minutes = 107
print("Movie runtime: {} minutes".format(movie.runtime_minutes))
def test_movie_init_full(self):
movie = Movie("Moana", 2016)
assert repr(movie) == "<Movie Moana, 2016>"
director = Director("Ron Clements")
movie.director = director
assert repr(movie.director) == "<Director Ron Clements>"
actors = [
Actor("Auli'i Cravalho"),
Actor("Dwayne Johnson"),
Actor("Rachel House"),
Actor("Temuera Morrison")
]
for actor in actors:
movie.add_actor(actor)
assert repr(
movie.actors
) == "[<Actor Auli\'i Cravalho>, <Actor Dwayne Johnson>, <Actor Rachel House>, <Actor Temuera Morrison>]"
movie.runtime_minutes = 107
assert ("Movie runtime: {} minutes".format(
movie.runtime_minutes)) == "Movie runtime: 107 minutes"
def read_csv_file(self):
csv_file_contents = csv.reader(open(self.__file_name, mode='r', encoding='utf-8-sig'))
boolean = True
for row in csv_file_contents:
if boolean:
boolean = False
continue
temp_movie = Movie("","")
temp_movie.id = int(row[0])-1
temp_movie.title = row[1]
genre_list = row[2].split(",")
genre_list = [Genre(genre) for genre in genre_list]
temp_movie.genres = genre_list
temp_movie.description = row[3]
temp_movie.director = Director(row[4])
actor_list = row[5].split(",")
actor_list = [Actor(actor) for actor in actor_list]
temp_movie.actors = actor_list
temp_movie.releaseDate = int(row[6])
temp_movie.runtime_minutes = int(row[7])
temp_movie.rating = float(row[8])
temp_movie.metascore = row[11]
self.movie_full_details.append(temp_movie)
def read_csv_file(self) -> None:
with open(self.__filename, mode='r',
encoding='utf-8-sig') as file_data:
reader = csv.DictReader(file_data)
self.__dataset_of_movies = list()
for row in reader:
new_movie = Movie(row['Title'], int(row['Year']))
new_movie.description = row['Description']
new_movie.genres = [
Genre(i.strip()) for i in row['Genre'].split(',')
]
new_movie.actors = [
Actor(i.strip()) for i in row['Actors'].split(',')
]
new_movie.director = Director(row['Director'].strip())
if row['Runtime (Minutes)'].isdigit():
new_movie.runtime_minutes = int(row['Runtime (Minutes)'])
self.__dataset_of_movies.append(new_movie)
for i in new_movie.genres:
self.add_genre(i)
self.__dataset_of_genres[i].append(new_movie)
for i in new_movie.actors:
self.add_actor(i)
self.add_director(new_movie.director)
