"""Offline tests: run python -m unittest discover -s tests -v.""" import importlib.util import unittest from pathlib import Path path = Path(__file__).resolve().parents[1] / 'custom_components' / 'heating_mpc' / 'physics.py' spec = importlib.util.spec_from_file_location('heating_mpc_physics', path) m = importlib.util.module_from_spec(spec) import sys sys.modules[spec.name] = m spec.loader.exec_module(m) class ModelTests(unittest.TestCase): def test_fitting_and_restore(self): learn = m.Learner() t = 20.0 lag = 0.0 for step in range(1000): heater = int(step % 96 < 35) lag = lag + m.HEAT_LAG * (heater - lag) value = t + 0.003 * (8 - t) + 0.055 * lag + 0.001 learn.learn(t, value, 8, lag) t = value self.assertGreaterEqual(learn.count, 950) self.assertAlmostEqual(learn.theta[0], 0.003, delta=0.003) self.assertAlmostEqual(learn.theta[1], 0.055, delta=0.03) restored = m.Learner.from_dict(learn.as_dict()) self.assertEqual(restored.count, learn.count) self.assertEqual(restored.theta, learn.theta) def test_optimize_warm_room_prefers_off(self): zones = {'living': 23.5, 'bedroom': 23.4} learners = {'living': m.Learner(), 'bedroom': m.Learner()} out = m.optimize(zones, 12, 0, 22, {'living': 2, 'bedroom': 1}, learners, False, 3600, horizon_minutes=60) self.assertFalse(out['proposal']) self.assertEqual(len(out['plan_15min']), 4) def test_optimize_cold_room_prefers_heat(self): zones = {'living': 19.5, 'bedroom': 19.9} learners = {'living': m.Learner(), 'bedroom': m.Learner()} out = m.optimize(zones, 4, 0, 22, {'living': 2, 'bedroom': 1}, learners, False, 3600, horizon_minutes=60) self.assertTrue(out['proposal']) def test_minimum_duration_on_and_off(self): learners = {'r': m.Learner()} # Could not switch OFF during first 15 minutes if just turned ON. out = m.optimize({'r': 24}, 12, 1, 22, {'r': 1}, learners, True, 120, minimum_on_minutes=15, horizon_minutes=60) self.assertTrue(out['proposal']) # Could not switch ON during first 10 minutes if just turned OFF. out = m.optimize({'r': 18}, 0, 0, 22, {'r': 1}, learners, False, 120, minimum_off_minutes=10, horizon_minutes=60) self.assertFalse(out['proposal']) def test_invalid_room_weights_rejected(self): with self.assertRaises(ValueError): m.optimize({'r': 20}, 10, 0, 22, {'r': 0}, {'r': m.Learner()}, False, 1000, horizon_minutes=60) if __name__ == '__main__': unittest.main()