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import os
import datetime as dt
import warnings
import pytest
import pvlib
try:
from importlib import reload
except ImportError:
try:
from imp import reload
except ImportError:
pass
import numpy as np
from numpy.testing import assert_almost_equal
import pandas as pd
import unittest
from .conftest import requires_numba
times = (pd.date_range('2003-10-17 12:30:30', periods=1, freq='D')
.tz_localize('MST'))
unixtimes = np.array(times.tz_convert('UTC').view(np.int64)*1.0/10**9)
lat = 39.742476
lon = -105.1786
elev = 1830.14
pressure = 820
temp = 11
delta_t = 67.0
atmos_refract = 0.5667
JD = 2452930.312847
JC = 0.0379277986858
JDE = 2452930.313623
JCE = 0.037927819916852
JME = 0.003792781991685
L = 24.0182616917
B = -0.0001011219
R = 0.9965422974
Theta = 204.0182616917
beta = 0.0001011219
X0 = 17185.861179
X1 = 1722.893218
X2 = 18234.075703
X3 = 18420.071012
X4 = 51.686951
dPsi = -0.00399840
dEpsilon = 0.00166657
epsilon0 = 84379.672625
epsilon = 23.440465
dTau = -0.005711
lamd = 204.0085519281
v0 = 318.515579
v = 318.511910
alpha = 202.227408
delta = -9.31434
H = 11.10590
xi = 0.002451
dAlpha = -0.000369
alpha_prime = 202.22704
delta_prime = -9.316179
H_prime = 11.10627
e0 = 39.872046
de = 0.016332
e = 39.888378
theta = 50.11162
theta0 = 90 - e0
Gamma = 14.340241
Phi = 194.340241
year = 1985
month = 2
year_array = np.array([-499, 500, 1000, 1500, 1800, 1860, 1900, 1950,
1970, 1985, 1990, 2000, 2005, 2050, 2150])
# `month_array` is used with `year_array` in `test_calculate_deltat`.
# Both arrays need to have the same length for the test, hence the duplicates.
month_array = np.array([1, 2, 3, 4, 5, 6, 6, 7, 8, 9, 10, 11, 12, 12, 12])
dt_actual = 54.413442486
dt_actual_array = np.array([1.7184831e+04, 5.7088051e+03, 1.5730419e+03,
1.9801820e+02, 1.3596506e+01, 7.8316585e+00,
-2.1171894e+00, 2.9289261e+01, 4.0824887e+01,
5.4724581e+01, 5.7426651e+01, 6.4108015e+01,
6.5038015e+01, 9.4952955e+01, 3.3050693e+02])
mix_year_array = np.full((10), year)
mix_month_array = np.full((10), month)
mix_year_actual = np.full((10), dt_actual)
mix_month_actual = mix_year_actual
class SpaBase:
"""Test functions common to numpy and numba spa"""
def test_julian_day_dt(self):
# add 1us manually to the test timestamp (GH #940)
dt = times.tz_convert('UTC')[0] + pd.Timedelta(1, unit='us')
year = dt.year
month = dt.month
day = dt.day
hour = dt.hour
minute = dt.minute
second = dt.second
microsecond = dt.microsecond
assert_almost_equal(JD + 1e-6 / (3600*24), # modify expected JD by 1us
self.spa.julian_day_dt(
year, month, day, hour,
minute, second, microsecond), 6)
def test_julian_ephemeris_day(self):
assert_almost_equal(JDE, self.spa.julian_ephemeris_day(JD, delta_t), 5)
def test_julian_century(self):
assert_almost_equal(JC, self.spa.julian_century(JD), 6)
def test_julian_ephemeris_century(self):
assert_almost_equal(JCE, self.spa.julian_ephemeris_century(JDE), 10)
def test_julian_ephemeris_millenium(self):
assert_almost_equal(JME, self.spa.julian_ephemeris_millennium(JCE), 10)
def test_heliocentric_longitude(self):
assert_almost_equal(L, self.spa.heliocentric_longitude(JME), 6)
def test_heliocentric_latitude(self):
assert_almost_equal(B, self.spa.heliocentric_latitude(JME), 6)
def test_heliocentric_radius_vector(self):
assert_almost_equal(R, self.spa.heliocentric_radius_vector(JME), 6)
def test_geocentric_longitude(self):
assert_almost_equal(Theta, self.spa.geocentric_longitude(L), 6)
def test_geocentric_latitude(self):
assert_almost_equal(beta, self.spa.geocentric_latitude(B), 6)
def test_mean_elongation(self):
assert_almost_equal(X0, self.spa.mean_elongation(JCE), 5)
def test_mean_anomaly_sun(self):
assert_almost_equal(X1, self.spa.mean_anomaly_sun(JCE), 5)
def test_mean_anomaly_moon(self):
assert_almost_equal(X2, self.spa.mean_anomaly_moon(JCE), 5)
def test_moon_argument_latitude(self):
assert_almost_equal(X3, self.spa.moon_argument_latitude(JCE), 5)
def test_moon_ascending_longitude(self):
assert_almost_equal(X4, self.spa.moon_ascending_longitude(JCE), 6)
def test_longitude_obliquity_nutation(self):
out = np.empty((2,))
self.spa.longitude_obliquity_nutation(JCE, X0, X1, X2, X3, X4, out)
_dPsi, _dEpsilon = out[0], out[1]
assert_almost_equal(dPsi, _dPsi, 6)
assert_almost_equal(dEpsilon, _dEpsilon, 6)
def test_mean_ecliptic_obliquity(self):
assert_almost_equal(epsilon0, self.spa.mean_ecliptic_obliquity(JME), 6)
def test_true_ecliptic_obliquity(self):
assert_almost_equal(epsilon, self.spa.true_ecliptic_obliquity(
epsilon0, dEpsilon), 6)
def test_aberration_correction(self):
assert_almost_equal(dTau, self.spa.aberration_correction(R), 6)
def test_apparent_sun_longitude(self):
assert_almost_equal(lamd, self.spa.apparent_sun_longitude(
Theta, dPsi, dTau), 6)
def test_mean_sidereal_time(self):
assert_almost_equal(v0, self.spa.mean_sidereal_time(JD, JC), 3)
def test_apparent_sidereal_time(self):
assert_almost_equal(v, self.spa.apparent_sidereal_time(
v0, dPsi, epsilon), 5)
def test_geocentric_sun_right_ascension(self):
assert_almost_equal(alpha, self.spa.geocentric_sun_right_ascension(
lamd, epsilon, beta), 6)
def test_geocentric_sun_declination(self):
assert_almost_equal(delta, self.spa.geocentric_sun_declination(
lamd, epsilon, beta), 6)
def test_local_hour_angle(self):
assert_almost_equal(H, self.spa.local_hour_angle(v, lon, alpha), 4)
def test_equatorial_horizontal_parallax(self):
assert_almost_equal(xi, self.spa.equatorial_horizontal_parallax(R), 6)
def test_parallax_sun_right_ascension(self):
u = self.spa.uterm(lat)
x = self.spa.xterm(u, lat, elev)
assert_almost_equal(dAlpha, self.spa.parallax_sun_right_ascension(
x, xi, H, delta), 4)
def test_topocentric_sun_right_ascension(self):
assert_almost_equal(alpha_prime,
self.spa.topocentric_sun_right_ascension(
alpha, dAlpha), 5)
def test_topocentric_sun_declination(self):
u = self.spa.uterm(lat)
x = self.spa.xterm(u, lat, elev)
y = self.spa.yterm(u, lat, elev)
assert_almost_equal(delta_prime, self.spa.topocentric_sun_declination(
delta, x, y, xi, dAlpha, H), 5)
def test_topocentric_local_hour_angle(self):
assert_almost_equal(H_prime, self.spa.topocentric_local_hour_angle(
H, dAlpha), 5)
def test_topocentric_elevation_angle_without_atmosphere(self):
assert_almost_equal(
e0, self.spa.topocentric_elevation_angle_without_atmosphere(
lat, delta_prime, H_prime), 6)
def test_atmospheric_refraction_correction(self):
assert_almost_equal(de, self.spa.atmospheric_refraction_correction(
pressure, temp, e0, atmos_refract), 6)
def test_topocentric_elevation_angle(self):
assert_almost_equal(e, self.spa.topocentric_elevation_angle(e0, de), 6)
def test_topocentric_zenith_angle(self):
assert_almost_equal(theta, self.spa.topocentric_zenith_angle(e), 5)
def test_topocentric_astronomers_azimuth(self):
assert_almost_equal(Gamma, self.spa.topocentric_astronomers_azimuth(
H_prime, delta_prime, lat), 5)
def test_topocentric_azimuth_angle(self):
assert_almost_equal(Phi, self.spa.topocentric_azimuth_angle(Gamma), 5)
def test_solar_position(self):
with warnings.catch_warnings():
# don't warn on method reload
warnings.simplefilter("ignore")
spa_out_0 = self.spa.solar_position(
unixtimes, lat, lon, elev, pressure, temp, delta_t,
atmos_refract)[:-1]
spa_out_1 = self.spa.solar_position(
unixtimes, lat, lon, elev, pressure, temp, delta_t,
atmos_refract, sst=True)[:3]
assert_almost_equal(np.array([[theta, theta0, e, e0, Phi]]).T,
spa_out_0, 5)
assert_almost_equal(np.array([[v, alpha, delta]]).T, spa_out_1, 5)
def test_equation_of_time(self):
eot = 14.64
M = self.spa.sun_mean_longitude(JME)
assert_almost_equal(eot, self.spa.equation_of_time(
M, alpha, dPsi, epsilon), 2)
def test_transit_sunrise_sunset(self):
# tests at greenwich
times = pd.DatetimeIndex([dt.datetime(1996, 7, 5, 0),
dt.datetime(2004, 12, 4, 0)]
).tz_localize(
'UTC').view(np.int64)*1.0/10**9
sunrise = pd.DatetimeIndex([dt.datetime(1996, 7, 5, 7, 8, 15),
dt.datetime(2004, 12, 4, 4, 38, 57)]
).tz_localize(
'UTC').view(np.int64)*1.0/10**9
sunset = pd.DatetimeIndex([dt.datetime(1996, 7, 5, 17, 1, 4),
dt.datetime(2004, 12, 4, 19, 2, 2)]
).tz_localize(
'UTC').view(np.int64)*1.0/10**9
times = np.array(times)
sunrise = np.array(sunrise)
sunset = np.array(sunset)
result = self.spa.transit_sunrise_sunset(times, -35.0, 0.0, 64.0, 1)
assert_almost_equal(sunrise/1e3, result[1]/1e3, 3)
assert_almost_equal(sunset/1e3, result[2]/1e3, 3)
times = pd.DatetimeIndex([dt.datetime(1994, 1, 2), ]
).tz_localize(
'UTC').view(np.int64)*1.0/10**9
sunset = pd.DatetimeIndex([dt.datetime(1994, 1, 2, 16, 59, 55), ]
).tz_localize(
'UTC').view(np.int64)*1.0/10**9
sunrise = pd.DatetimeIndex([dt.datetime(1994, 1, 2, 7, 8, 12), ]
).tz_localize(
'UTC').view(np.int64)*1.0/10**9
times = np.array(times)
sunrise = np.array(sunrise)
sunset = np.array(sunset)
result = self.spa.transit_sunrise_sunset(times, 35.0, 0.0, 64.0, 1)
assert_almost_equal(sunrise/1e3, result[1]/1e3, 3)
assert_almost_equal(sunset/1e3, result[2]/1e3, 3)
# tests from USNO
# Golden
times = pd.DatetimeIndex([dt.datetime(2015, 1, 2),
dt.datetime(2015, 4, 2),
dt.datetime(2015, 8, 2),
dt.datetime(2015, 12, 2)],
).tz_localize(
'UTC').view(np.int64)*1.0/10**9
sunrise = pd.DatetimeIndex([dt.datetime(2015, 1, 2, 7, 19),
dt.datetime(2015, 4, 2, 5, 43),
dt.datetime(2015, 8, 2, 5, 1),
dt.datetime(2015, 12, 2, 7, 1)],
).tz_localize(
'MST').view(np.int64)*1.0/10**9
sunset = pd.DatetimeIndex([dt.datetime(2015, 1, 2, 16, 49),
dt.datetime(2015, 4, 2, 18, 24),
dt.datetime(2015, 8, 2, 19, 10),
dt.datetime(2015, 12, 2, 16, 38)],
).tz_localize(
'MST').view(np.int64)*1.0/10**9
times = np.array(times)
sunrise = np.array(sunrise)
sunset = np.array(sunset)
result = self.spa.transit_sunrise_sunset(times, 39.0, -105.0, 64.0, 1)
assert_almost_equal(sunrise/1e3, result[1]/1e3, 1)
assert_almost_equal(sunset/1e3, result[2]/1e3, 1)
# Beijing
times = pd.DatetimeIndex([dt.datetime(2015, 1, 2),
dt.datetime(2015, 4, 2),
dt.datetime(2015, 8, 2),
dt.datetime(2015, 12, 2)],
).tz_localize(
'UTC').view(np.int64)*1.0/10**9
sunrise = pd.DatetimeIndex([dt.datetime(2015, 1, 2, 7, 36),
dt.datetime(2015, 4, 2, 5, 58),
dt.datetime(2015, 8, 2, 5, 13),
dt.datetime(2015, 12, 2, 7, 17)],
).tz_localize('Asia/Shanghai').view(
np.int64)*1.0/10**9
sunset = pd.DatetimeIndex([dt.datetime(2015, 1, 2, 17, 0),
dt.datetime(2015, 4, 2, 18, 39),
dt.datetime(2015, 8, 2, 19, 28),
dt.datetime(2015, 12, 2, 16, 50)],
).tz_localize('Asia/Shanghai').view(
np.int64)*1.0/10**9
times = np.array(times)
sunrise = np.array(sunrise)
sunset = np.array(sunset)
result = self.spa.transit_sunrise_sunset(
times, 39.917, 116.383, 64.0, 1)
assert_almost_equal(sunrise/1e3, result[1]/1e3, 1)
assert_almost_equal(sunset/1e3, result[2]/1e3, 1)
def test_earthsun_distance(self):
times = (pd.date_range('2003-10-17 12:30:30', periods=1, freq='D')
.tz_localize('MST'))
unixtimes = times.tz_convert('UTC').view(np.int64)*1.0/10**9
unixtimes = np.array(unixtimes)
result = self.spa.earthsun_distance(unixtimes, 64.0, 1)
assert_almost_equal(R, result, 6)
def test_calculate_deltat(self):
result_mix_year = self.spa.calculate_deltat(mix_year_array, month)
assert_almost_equal(mix_year_actual, result_mix_year)
result_mix_month = self.spa.calculate_deltat(year, mix_month_array)
assert_almost_equal(mix_month_actual, result_mix_month)
result_array = self.spa.calculate_deltat(year_array, month_array)
assert_almost_equal(dt_actual_array, result_array, 3)
result_scalar = self.spa.calculate_deltat(year, month)
assert_almost_equal(dt_actual, result_scalar)
class NumpySpaTest(unittest.TestCase, SpaBase):
"""Import spa without compiling to numba then run tests"""
@classmethod
def setUpClass(self):
os.environ['PVLIB_USE_NUMBA'] = '0'
import pvlib.spa as spa
spa = reload(spa)
self.spa = spa
@classmethod
def tearDownClass(self):
del os.environ['PVLIB_USE_NUMBA']
def test_julian_day(self):
assert_almost_equal(JD, self.spa.julian_day(unixtimes)[0], 6)
@requires_numba
class NumbaSpaTest(unittest.TestCase, SpaBase):
"""Import spa, compiling to numba, and run tests"""
@classmethod
def setUpClass(self):
os.environ['PVLIB_USE_NUMBA'] = '1'
import pvlib.spa as spa
spa = reload(spa)
self.spa = spa
@classmethod
def tearDownClass(self):
del os.environ['PVLIB_USE_NUMBA']
def test_julian_day(self):
assert_almost_equal(JD, self.spa.julian_day(unixtimes[0]), 6)
def test_solar_position_singlethreaded(self):
assert_almost_equal(
np.array([[theta, theta0, e, e0, Phi]]).T, self.spa.solar_position(
unixtimes, lat, lon, elev, pressure, temp, delta_t,
atmos_refract, numthreads=1)[:-1], 5)
assert_almost_equal(
np.array([[v, alpha, delta]]).T, self.spa.solar_position(
unixtimes, lat, lon, elev, pressure, temp, delta_t,
atmos_refract, numthreads=1, sst=True)[:3], 5)
def test_solar_position_multithreaded(self):
result = np.array([theta, theta0, e, e0, Phi])
nresult = np.array([result, result, result]).T
times = np.array([unixtimes[0], unixtimes[0], unixtimes[0]])
assert_almost_equal(
nresult, self.spa.solar_position(
times, lat, lon, elev, pressure, temp, delta_t,
atmos_refract, numthreads=3)[:-1], 5)
result = np.array([v, alpha, delta])
nresult = np.array([result, result, result]).T
assert_almost_equal(
nresult, self.spa.solar_position(
times, lat, lon, elev, pressure, temp, delta_t,
atmos_refract, numthreads=3, sst=True)[:3], 5)
# Define extra test cases for issue #2077
test_cases_issue_2207 = [
((2000, 1, 1, 12, 0, 0), 2451545.0),
((1999, 1, 1, 0, 0, 0), 2451179.5),
((1987, 1, 27, 0, 0, 0), 2446822.5),
((1987, 6, 19, 12, 0, 0), 2446966.0),
((1988, 1, 27, 0, 0, 0), 2447187.5),
((1988, 6, 19, 12, 0, 0), 2447332.0),
((1900, 1, 1, 0, 0, 0), 2415020.5),
((1600, 1, 1, 0, 0, 0), 2305447.5),
((1600, 12, 31, 0, 0, 0), 2305812.5),
((837, 4, 10, 7, 12, 0), 2026871.8),
((-123, 12, 31, 0, 0, 0), 1676496.5),
((-122, 1, 1, 0, 0, 0), 1676497.5),
((-1000, 7, 12, 12, 0, 0), 1356001.0),
((-1000, 2, 29, 0, 0, 0), 1355866.5),
((-1001, 8, 17, 21, 36, 0), 1355671.4),
((-4712, 1, 1, 12, 0, 0), 0.0),
]
@pytest.mark.parametrize("inputs, expected", test_cases_issue_2207)
def test_julian_day_issue_2207(inputs, expected):
result = pvlib.spa.julian_day_dt(*inputs, microsecond=0)
assert result == expected, f"Failed for inputs {inputs}"
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