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