def load_movies(data_path: str, repo: MemoryRepository):
movies = dict()
for data_row in read_csv_file(os.path.join(data_path, 'Data1000Movies.csv')):
movie = Movie(
rank=int(data_row[0]),
title=data_row[1].strip(),
release_year=int(data_row[6]),
description=data_row[3].strip()
)
actors = data_row[5]
actors = actors.split(',')
for actor in actors:
actor = actor.strip()
if Actor(actor) not in movie.actors:
movie.add_actor(Actor(actor))
genres = data_row[2]
genres = genres.split(',')
for genre in genres:
genre = genre.strip()
if Genre(genre) not in movie.genres:
movie.add_genre(Genre(genre))
director = data_row[4]
director = director.strip()
movie.director = Director(director)
repo.add_movie(movie)
movies[data_row[0]] = movie
return movies
def test_actor():
actor1 = Actor("a")
assert actor1.actor_full_name == "a"
actor2 = Actor("b")
actor3 = Actor("a")
assert actor1 != actor2
assert hash(actor1) != hash(actor2)
assert actor2 > actor1
assert actor1 < actor2
assert actor1 == actor3
assert repr(actor1) == '<Actor a>'
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 test_add_actor():
movie1 = Movie("Spirited Away", 2000)
movie1.actors = [Actor("James Huang")]
movie1.add_actor(Actor("Jack Huang"))
assert movie1.actors == [Actor("James Huang"), Actor("Jack Huang")]
movie1.add_actor("Ron Huang")
movie1.add_actor("")
movie1.add_actor(None)
movie1.add_actor(21345648)
assert movie1.actors == [Actor("James Huang"), Actor("Jack Huang")]
def test_get_movie_by_actor(in_memory_repo):
assert in_memory_repo.get_movie_by_actor('Chris Pratt') == [
Movie(
1, 'Guardians of the Galaxy', 2014, "A group of \
intergalactic criminals are forced to work together\
to stop a fanatical warrior from taking control of\
the universe."),
Movie(
10, 'Passengers', 2016, "A spacecraft \
traveling to a distant colony planet and \
transporting thousands of people has a \
malfunction in its sleep chambers. As a result, \
two passengers are awakened 90 years early."
)
]
movie1 = Movie(11, '1', 2000, "a")
movie2 = Movie(12, '2', 3000, "a")
actor1 = Actor('a')
movie1.add_actor(actor1)
movie2.add_actor(actor1)
in_memory_repo.add_movie(movie1)
in_memory_repo.add_movie(movie2)
assert in_memory_repo.get_movie_by_actor('a') == [movie1, movie2]
def actor():
return Actor("Michelle Williams")
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:
# Read in Title
title = row['Title']
# Read in Year
release_year = int(row['Year'])
movie = Movie(title, release_year)
self.__dataset_of_movies.append(movie)
# Read in description
description = row["Description"]
movie.description = description
# Read in runtime
runtime = row["Runtime (Minutes)"]
movie.runtime_minutes = int(runtime)
# Read in Actors
actors = row['Actors']
actor = actors.split(",")
for i in actor:
actor = i.strip()
movie.add_actor(Actor(actor))
self.__dataset_of_actors.add(Actor(actor))
# Read in Directors
director = row['Director']
movie.director = Director(director)
self.__dataset_of_directors.add(Director(director))
# Read in Genre
genres = row['Genre']
genre = genres.split(",")
for i in genre:
a = i.strip()
movie.add_genre(Genre(a))
self.__dataset_of_genres.add(Genre(a))
# Read in Rank
rank = row["Rank"]
movie.rank = rank
# Read in Rating
rating = row["Rating"]
movie.rating = rating
# Read in Votes
vote = row["Votes"]
movie.votes = vote
# Read in revenue
revenue = row["Revenue (Millions)"]
movie.revenue = revenue
# Read in meta_scores
metascore = row["Metascore"]
movie.metascore = metascore
index += 1
def test_remove_actor():
movie1 = Movie("Spirited Away", 2000)
movie1.actors = [Actor("James Huang"), Actor("Ron Huang")]
movie1.add_actor(Actor("Jack Huang"))
movie1.remove_actor(Actor("Jack Huang"))
assert movie1.actors == [Actor("James Huang"), Actor("Ron Huang")]
movie1.remove_actor(Actor("James Huang"))
movie1.remove_actor(Actor("Jawer"))
movie1.remove_actor(Actor("Jackwerang"))
movie1.remove_actor(Actor("Jweruang"))
assert movie1.actors == [Actor("Ron Huang")]
movie1.remove_actor(Actor("Ron Huang"))
assert movie1.actors == []
def test_actors():
movie1 = Movie("Spirited Away", 2000)
movie2 = Movie("Your Name", 2000)
movie3 = Movie("Batman", 2000)
movie4 = Movie(None, None)
movie1.actors = [
Actor("Jack Huang"),
Actor("James Huang"),
Actor("Ron Huang"),
Actor("Jane Tang")
]
assert movie1.actors == [
Actor("Jack Huang"),
Actor("James Huang"),
Actor("Ron Huang"),
Actor("Jane Tang")
]
movie2.actors = [
Actor("Jack Huang"), "James Huang",
Actor("Ron Huang"), 123456
]
assert movie2.actors == []
movie3.actors = Actor("Jack Huang")
assert movie3.actors == [Actor("Jack Huang")]
movie4.actors = "Jack Huang"
assert movie4.actors == []
def load_movies_and_genres_and_actors_and_directors(data_path: str,
repo: MemoryRepository):
genres = dict()
actors = dict()
directors = dict()
for data_row in read_csv_file(os.path.join(data_path, 'movies.csv')):
movie_id = int(data_row[0])
movie_genres = data_row[2].split(",")
movie_director = data_row[4]
movie_actors = data_row[5].replace(", ", ",").split(",")
for genre in movie_genres:
if genre not in genres.keys():
genres[genre] = list()
genres[genre].append(movie_id)
for actor in movie_actors:
if actor not in actors.keys():
actors[actor] = list()
actors[actor].append(movie_id)
if movie_director not in directors.keys():
directors[movie_director] = list()
directors[movie_director].append(movie_id)
if data_row[10] == "N/A":
revenue = None
else:
revenue = float(data_row[10])
if data_row[11] == "N/A":
metascore = None
else:
metascore = int(data_row[11])
movie = Movie(id=movie_id,
title=data_row[1],
description=data_row[3],
year=int(data_row[6]),
runtime=int(data_row[7]),
rating=float(data_row[8]),
votes=int(data_row[9]),
revenue=revenue,
metascore=metascore)
repo.add_movie(movie)
for genre_name in genres.keys():
genre = Genre(genre_name)
for movie_id in genres[genre_name]:
movie = repo.get_movie(movie_id)
make_genre_association(movie, genre)
repo.add_genre(genre)
for actor_name in actors.keys():
actor = Actor(actor_name)
for movie_id in actors[actor_name]:
movie = repo.get_movie(movie_id)
make_actor_association(movie, actor)
repo.add_actor(actor)
for director_name in directors.keys():
director = Director(director_name)
for movie_id in directors[director_name]:
movie = repo.get_movie(movie_id)
make_director_association(movie, director)
repo.add_director(director)