"""
camcops_server/tasks/tests/empsa_tests.py
===============================================================================
Copyright (C) 2012, University of Cambridge, Department of Psychiatry.
Created by Rudolf Cardinal (rnc1001@cam.ac.uk).
This file is part of CamCOPS.
CamCOPS is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
CamCOPS is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with CamCOPS. If not, see <https://www.gnu.org/licenses/>.
===============================================================================
"""
from unittest import TestCase
from cardinal_pythonlib.maths_py import mean
from camcops_server.tasks.empsa import Empsa
[docs]class EmpsaTests(TestCase):
def test_complete_when_all_questions_answered(self) -> None:
empsa = Empsa()
for field in empsa.ALL_MANDATORY_FIELD_NAMES:
setattr(empsa, field, 1)
self.assertTrue(empsa.is_complete())
def test_not_complete_when_not_all_questions_answered(self) -> None:
empsa = Empsa()
self.assertFalse(empsa.is_complete())
def test_ability_subscale_is_none_if_any_none(self) -> None:
empsa = Empsa()
values = [None, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2]
for index, value in enumerate(values):
q_num = index + 1
setattr(empsa, f"q{q_num}_ability", value)
self.assertIsNone(empsa.ability_subscale())
def test_ability_subscale_is_mean_if_all_not_none(self) -> None:
empsa = Empsa()
values = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2]
for index, value in enumerate(values):
q_num = index + 1
setattr(empsa, f"q{q_num}_ability", value)
self.assertAlmostEqual(empsa.ability_subscale(), mean(values))
def test_motivation_subscale_is_none_if_any_none(self) -> None:
empsa = Empsa()
values = [None, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2]
for index, value in enumerate(values):
q_num = index + 1
setattr(empsa, f"q{q_num}_motivation", value)
self.assertIsNone(empsa.motivation_subscale())
def test_motivation_subscale_is_mean_if_all_not_none(self) -> None:
empsa = Empsa()
values = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2]
for index, value in enumerate(values):
q_num = index + 1
setattr(empsa, f"q{q_num}_motivation", value)
self.assertAlmostEqual(empsa.motivation_subscale(), mean(values))