87 lines
3.4 KiB
Python
87 lines
3.4 KiB
Python
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)
|
|
# Check for columns which should have been extracted from esm_json.
|
|
self.assertIn("question_id", self.esm_processed)
|
|
self.assertIn("questionnaire_id", self.esm_processed)
|
|
self.assertIn("esm_instructions", self.esm_processed)
|
|
self.assertIn("esm_type", self.esm_processed)
|
|
self.assertIn("time", self.esm_processed)
|
|
# Check for explicitly added column.
|
|
self.assertIn("datetime_lj", self.esm_processed)
|
|
# All of these keys are referenced in other functions, so they are expected to be present in preprocessed ESM.
|
|
# Since all of these are added in a single function, it should be OK to have many assert statements in one test.
|
|
|
|
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)
|
|
|
|
self.assertEqual(
|
|
0,
|
|
int(
|
|
self.esm_clean.loc[
|
|
self.esm_clean["question_id"] == 73, "esm_user_answer_numeric"
|
|
]
|
|
),
|
|
)
|
|
self.assertEqual(
|
|
1,
|
|
int(esm_reversed.loc[esm_reversed["question_id"] == 73, "esm_user_score"]),
|
|
)
|
|
# An example of a regular item: the score gets incremented by 1, to shift to 1-4 scoring.
|
|
|
|
self.assertEqual(
|
|
0,
|
|
int(
|
|
self.esm_clean.loc[
|
|
self.esm_clean["question_id"] == 79, "esm_user_answer_numeric"
|
|
]
|
|
),
|
|
)
|
|
self.assertEqual(
|
|
4,
|
|
int(esm_reversed.loc[esm_reversed["question_id"] == 79, "esm_user_score"]),
|
|
)
|
|
# An example of a reversed item.
|