def test_generate_recommendations(self, mock_lb, mock_filter):
params = self.get_recommendation_params()
limit = 1
mock_model = MagicMock()
params.model = mock_model
mock_predict = mock_model.predictAll
candidate_set = self.get_candidate_set()
users = []
rdd = recommend.get_candidate_set_rdd_for_user(candidate_set, users)
mock_predict.return_value = rdd
df = recommend.generate_recommendations(candidate_set, params, limit)
mock_predict.assert_called_once_with(candidate_set)
mock_df = mock_lb.session.createDataFrame
mock_df.assert_called_once_with(mock_predict.return_value, schema=None)
mock_filter.assert_called_once_with(mock_df.return_value, limit)
with self.assertRaises(RecommendationsNotGeneratedException):
# empty rdd
mock_predict.return_value = MagicMock()
recommend.generate_recommendations(candidate_set, params, limit)
def test_get_candidate_set_rdd_for_user(self):
candidate_set = self.get_candidate_set()
users = []
candidate_set_rdd = recommend.get_candidate_set_rdd_for_user(candidate_set, users)
self.assertTrue(isinstance(candidate_set_rdd, RDD))
res = sorted([row for row in candidate_set_rdd.collect()])
self.assertEqual(res, [(1, 1), (2, 2)])
users = ['vansika']
candidate_set_rdd = recommend.get_candidate_set_rdd_for_user(candidate_set, users)
self.assertTrue(isinstance(candidate_set_rdd, RDD))
row = candidate_set_rdd.collect()
self.assertEqual([(1, 1)], row)
users = ['vansika_1']
with self.assertRaises(EmptyDataframeExcpetion):
recommend.get_candidate_set_rdd_for_user(candidate_set, users)
