def test_feedback(self):
self._register_fake_endpoints()
t = PredictiveServiceClient(config_file =self.configfile)
t.feedback('some', {'a':1})
t.feedback('some more', {'a':1})
def test_read_config(self):
self._register_fake_endpoints()
t = PredictiveServiceClient(config_file =self.configfile)
self.assertEquals(t.endpoint, 'http://abc.com')
self.assertEquals(t.api_key, API_KEY)
def test_query(self):
self._register_fake_endpoints()
t = PredictiveServiceClient(config_file = self.configfile)
data = {"dataset":{"user_id":175343, "movie_id":1011}}
result = t.query('a', method='predict', data= data})
result = t.query('a', method='recommend', data= data})
result = t.query('name with space', method='recommend', data= data})
# unknown model
with self.assertRaises(RuntimeError):
t.query('nonexist', data)
# wrong data type
with self.assertRaises(TypeError):
t.query('a', 'str')
# wrong method
with self.assertRaises(RuntimeError):
t.query('a', {"method":"wrong method", "data":data})
