def recommend(self, numberOfItems=20):
items = list(range(numberOfItems))
random.shuffle(items)
# recomm:Recommendation
recomm = Recommendation(items)
# ResultOfRecommendation
return recomm.exportAsResultOfRecommendation()
class Test(unittest.TestCase):
def setUp(self):
self.input_movies = [4, 7, 9, 14, 45]
self.file_path = "data\movies.json"
self.recommend = Recommendation(self.input_movies, self.file_path, 3)
def tearDown(self):
pass
def test_load_json(self):
# check if file valid exists
file_data = load_json(self.file_path)
# load_json will return dict on success
self.assertIsInstance(file_data, dict)
def test_movies_data(self):
# get the the movies records from file
movies_dict = self.recommend.get_movies_dict()
self.assertNotIsInstance(movies_dict, list)
self.assertDictContainsSubset({"4": "Richard III (1995)"}, movies_dict)
def test_users_data(self):
# get the user records from json file
users_data = self.recommend.get_user_list()
self.assertIsInstance(users_data, list)
self.assertLessEqual([], users_data)
def test_input_parameters(self):
wrong_params = ["[12, ds, 45, 59]", "movies.json"]
correct_params = ["23, 36, 49", "data\movies.json"]
# check with wring parameters first
self.assertEqual(validate_args(wrong_params), False)
# see if parameters are valid
self.assertDictContainsSubset({"input_movies": (23, 36, 49)},
validate_args(correct_params))
def test_recommeded_movies(self):
# get the top matched recommended movies
movies = self.recommend.get_recommended_movies()
self.assertListEqual(movies, [60, 59, 30])
self.assertEqual(len(movies), 3, "Recommended movies count is not \
correct")
def setUp(self):
self.input_movies = [4, 7, 9, 14, 45]
self.file_path = "data\movies.json"
self.recommend = Recommendation(self.input_movies, self.file_path, 3)
from recommendation.recommendation import Recommendation from recommendation.trend import TrendDetection rec = Recommendation() detection = TrendDetection()