import unittest from pandas.testing import assert_series_equal from features.esm import * from features.esm_JCQ import * class EsmFeatures(unittest.TestCase): @classmethod def setUpClass(cls) -> None: cls.esm = pd.read_csv("../data/example_esm.csv", sep=";") cls.esm["esm_json"] = cls.esm["esm_json"].apply(eval) cls.esm_processed = preprocess_esm(cls.esm) cls.esm_clean = clean_up_esm(cls.esm_processed) def test_preprocess_esm(self): self.esm_processed = preprocess_esm(self.esm) self.assertIn("question_id", self.esm_processed) def test_classify_sessions_by_completion(self): self.esm_classified_sessions = classify_sessions_by_completion(self.esm_processed) self.assertFalse(self.esm_classified_sessions["session_response"].isna().any()) # Test that all sessions were indeed classified. def test_classify_sessions_by_completion_time(self): self.esm_classified = classify_sessions_by_completion_time(self.esm_processed) session_of_interest = self.esm_processed.query("(device_id == '049df3f8-8541-4cf5-af2b-83f6b3f0cf4b') & (esm_session == 1)").sort_values("_id").reset_index() session_of_interest_reclassified = self.esm_classified.query("(device_id == '049df3f8-8541-4cf5-af2b-83f6b3f0cf4b') & (esm_session == 1)").reset_index() self.assertEqual(session_of_interest.loc[0, "time"], "morning") self.assertEqual(session_of_interest_reclassified.loc[0, "time"], "daytime") # Check that the first (morning) session is reclassified as a daytime session. def test_clean_up_esm(self): self.assertNotIn("esm_user_answer_numeric", self.esm_processed) self.assertIn("esm_user_answer_numeric", self.esm_clean) def test_reverse_jcq_demand_control_scoring(self): esm_reversed = reverse_jcq_demand_control_scoring(self.esm_clean) print(esm_reversed.loc[esm_reversed["question_id"] == 73, "esm_user_score"]) #self.assertIn(1.0, esm_reversed.loc[esm_reversed["question_id"] == 73, "esm_user_score"]) #self.assertNotIn(0, esm_reversed.loc[esm_reversed["question_id"] == 73, "esm_user_score"])