def test_sun_sky_sources():
sun, sky = sun_sky_sources(model='blended')
sun, sky = sun_sky_sources(model='sun_soc')
sun, sky = sun_sky_sources(model='blended', normalisation=1)
numpy.testing.assert_almost_equal(sun[2].sum() + sky[2].sum(), 1)
assert sun[2].sum() > 0.75
sun, sky = sun_sky_sources(model='blended',
normalisation=1,
attenuation=0.2)
assert sky[2].sum() > 0.99
def illuminate(g, isolated=True, density=9, clear_sky=False, daydate=_daydate, longitude=_longitude, latitude=_latitude,
altitude=_altitude, timezone=_timezone):
""" Illuminate a plant
Args:
isolated : is the plant isolated or within a canopy ?
clear_sky: use clear_sky (homogeneous sky is used otherwise)
irradiance: (float) sum of horizontal irradiance of all sources. If None
diffuse horizontal clear_sky irradiance are used for clear_sky type and
20% attenuated clear_sky global horizontal irradiances are used for
soc and uoc types.
dates: A pandas datetime index (as generated by pandas.date_range). If
None, hourly values for daydate are used.
daydate: (str) yyyy-mm-dd (not used if dates is not None).
longitude: (float) in degrees
latitude: (float) in degrees
altitude: (float) in meter
timezone:(str) the time zone (not used if dates are already localised)
Returns:
elevation (degrees), azimuth (degrees, from North positive clockwise),
and horizontal irradiance of sources
"""
if not clear_sky:
light = light_sources(*sky_sources())
else:
sun, sky = sun_sky_sources(daydate=daydate, longitude=longitude, latitude=latitude, altitude=altitude,
timezone=timezone, normalisation=1)
light = light_sources(*sun) + light_sources(*sky)
inter_row = 80
inter_plant = 1. / density / (inter_row / 100.) * 100
pattern = (-0.5 * inter_row, -0.5 * inter_plant,
0.5 * inter_row, 0.5 * inter_plant)
cs = CaribuScene(g, light=light, pattern=pattern, scene_unit='cm')
raw, agg = cs.run(direct=True, simplify=True, infinite=not isolated)
return cs, raw, agg
def test_twilight():
sun, sky = sun_sky_sources(ghi=1.0,
dates=pandas.Timestamp(
'2017-08-17 19:00:00+0400',
tz='Indian/Reunion'),
latitude=-21.32,
longitude=55.5,
timezone='Indian/Reunion')
el, az, irr = sun
assert len(irr) == 0
el, az, irr = sky
numpy.testing.assert_almost_equal(1, irr.sum())
