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interesting times to be proportional to the simulation time

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This commit is contained in:
Luis Aleixo 2023-04-05 15:51:30 +02:00
parent edb0b2370c
commit e4636e5fe6
1 changed files with 6 additions and 3 deletions
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9
caimira/apps/calculator/report_generator.py
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@ -80,10 +80,11 @@ def non_temp_transition_times(model: models.ExposureModel):
return sorted(time for time in change_times if (t_start <= time <= t_end))
def interesting_times(model: models.ExposureModel, approx_n_pts=100) -> typing.List[float]:
def interesting_times(model: models.ExposureModel, approx_n_pts: typing.Optional[int] = None) -> typing.List[float]:
"""
Pick approximately ``approx_n_pts`` time points which are interesting for the
given model.
given model. If not provided by argument, ``approx_n_pts`` is set to be 25 times
the number of hours of the simulation.
Initially the times are seeded by important state change times (excluding
outside temperature), and the times are then subsequently expanded to ensure
@ -91,10 +92,12 @@ def interesting_times(model: models.ExposureModel, approx_n_pts=100) -> typing.L
"""
times = non_temp_transition_times(model)
sim_duration = max(times) - min(times)
if not approx_n_pts: approx_n_pts = sim_duration * 25
# Expand the times list to ensure that we have a maximum gap size between
# the key times.
nice_times = fill_big_gaps(times, gap_size=(max(times) - min(times)) / approx_n_pts)
nice_times = fill_big_gaps(times, gap_size=(sim_duration) / approx_n_pts)
return nice_times