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