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Merge branch 'master' into model/humidity_function

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This commit is contained in:
Luis Aleixo 2022-04-26 14:31:27 +02:00
commit 45c85cec3f
2 changed files with 4 additions and 4 deletions
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2
cara/apps/calculator/model_generator.py
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@ -324,7 +324,7 @@ class FormData:
# Initializes a ventilation instance as a window if 'natural_ventilation' is selected, or as a HEPA-filter otherwise
if self.ventilation_type == 'natural_ventilation':
if self.window_opening_regime == 'windows_open_periodically':
window_interval = models.PeriodicInterval(self.windows_frequency, self.windows_duration, min(self.infected_start, self.exposed_start))
window_interval = models.PeriodicInterval(self.windows_frequency, self.windows_duration, min(self.infected_start, self.exposed_start)/60)
else:
window_interval = always_on

6
cara/tests/apps/calculator/test_model_generator.py
View file

@ -59,7 +59,7 @@ def test_ventilation_slidingwindow(baseline_form: model_generator.FormData):
assert isinstance(baseline_window, models.SlidingWindow)
window = models.SlidingWindow(
active=models.PeriodicInterval(period=120, duration=10, start=minutes_since_midnight(9 * 60)),
active=models.PeriodicInterval(period=120, duration=10, start=9),
outside_temp=baseline_window.outside_temp,
window_height=1.6, opening_length=0.6,
)
@ -90,7 +90,7 @@ def test_ventilation_hingedwindow(baseline_form: model_generator.FormData):
assert isinstance(baseline_window, models.HingedWindow)
window = models.HingedWindow(
active=models.PeriodicInterval(period=120, duration=10, start=minutes_since_midnight(9 * 60)),
active=models.PeriodicInterval(period=120, duration=10, start=9),
outside_temp=baseline_window.outside_temp,
window_height=1.6, window_width=1., opening_length=0.6,
)
@ -150,7 +150,7 @@ def test_ventilation_window_hepa(baseline_form: model_generator.FormData):
# Now build the equivalent ventilation instance directly, and compare.
window = models.SlidingWindow(
active=models.PeriodicInterval(period=120, duration=10, start=minutes_since_midnight(9 * 60)),
active=models.PeriodicInterval(period=120, duration=10, start=9),
outside_temp=baseline_window.outside_temp,
window_height=1.6, opening_length=0.6,
)