#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2020 Satpy developers
#
# This file is part of satpy.
#
# satpy is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# satpy is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# satpy. If not, see <http://www.gnu.org/licenses/>.
"""Tests for modifiers in modifiers/__init__.py."""
import contextlib
import unittest
import warnings
from copy import deepcopy
from datetime import datetime, timedelta
from glob import glob
from typing import Optional, Union
from unittest import mock
import dask.array as da
import numpy as np
import pytest
import xarray as xr
from pyresample.geometry import AreaDefinition, StackedAreaDefinition
from pytest_lazyfixture import lazy_fixture
import satpy
from satpy.utils import PerformanceWarning
def _sunz_area_def():
"""Get fake area for testing sunz generation."""
area = AreaDefinition('test', 'test', 'test',
{'proj': 'merc'}, 2, 2,
(-2000, -2000, 2000, 2000))
return area
def _sunz_bigger_area_def():
"""Get area that is twice the size of 'sunz_area_def'."""
bigger_area = AreaDefinition('test', 'test', 'test',
{'proj': 'merc'}, 4, 4,
(-2000, -2000, 2000, 2000))
return bigger_area
def _sunz_stacked_area_def():
"""Get fake stacked area for testing sunz generation."""
area1 = AreaDefinition('test', 'test', 'test',
{'proj': 'merc'}, 2, 1,
(-2000, 0, 2000, 2000))
area2 = AreaDefinition('test', 'test', 'test',
{'proj': 'merc'}, 2, 1,
(-2000, -2000, 2000, 0))
return StackedAreaDefinition(area1, area2)
def _shared_sunz_attrs(area_def):
attrs = {'area': area_def,
'start_time': datetime(2018, 1, 1, 18),
'modifiers': tuple(),
'name': 'test_vis'}
return attrs
def _get_ds1(attrs):
ds1 = xr.DataArray(da.ones((2, 2), chunks=2, dtype=np.float64),
attrs=attrs, dims=('y', 'x'),
coords={'y': [0, 1], 'x': [0, 1]})
return ds1
[docs]@pytest.fixture(scope="session")
def sunz_ds1():
"""Generate fake dataset for sunz tests."""
attrs = _shared_sunz_attrs(_sunz_area_def())
return _get_ds1(attrs)
[docs]@pytest.fixture(scope="session")
def sunz_ds1_stacked():
"""Generate fake dataset for sunz tests."""
attrs = _shared_sunz_attrs(_sunz_stacked_area_def())
return _get_ds1(attrs)
[docs]@pytest.fixture(scope="session")
def sunz_ds2():
"""Generate larger fake dataset for sunz tests."""
attrs = _shared_sunz_attrs(_sunz_bigger_area_def())
ds2 = xr.DataArray(da.ones((4, 4), chunks=2, dtype=np.float64),
attrs=attrs, dims=('y', 'x'),
coords={'y': [0, 0.5, 1, 1.5], 'x': [0, 0.5, 1, 1.5]})
return ds2
[docs]@pytest.fixture(scope="session")
def sunz_sza():
"""Generate fake solar zenith angle data array for testing."""
sza = xr.DataArray(
np.rad2deg(np.arccos(da.from_array([[0.0149581333, 0.0146694376], [0.0150812684, 0.0147925727]],
chunks=2))),
attrs={'area': _sunz_area_def()},
dims=('y', 'x'),
coords={'y': [0, 1], 'x': [0, 1]},
)
return sza
[docs]class TestSunZenithCorrector:
"""Test case for the zenith corrector."""
[docs] def test_basic_default_not_provided(self, sunz_ds1):
"""Test default limits when SZA isn't provided."""
from satpy.modifiers.geometry import SunZenithCorrector
comp = SunZenithCorrector(name='sza_test', modifiers=tuple())
res = comp((sunz_ds1,), test_attr='test')
np.testing.assert_allclose(res.values, np.array([[22.401667, 22.31777], [22.437503, 22.353533]]))
assert 'y' in res.coords
assert 'x' in res.coords
ds1 = sunz_ds1.copy().drop_vars(('y', 'x'))
res = comp((ds1,), test_attr='test')
np.testing.assert_allclose(res.values, np.array([[22.401667, 22.31777], [22.437503, 22.353533]]))
assert 'y' not in res.coords
assert 'x' not in res.coords
[docs] def test_basic_lims_not_provided(self, sunz_ds1):
"""Test custom limits when SZA isn't provided."""
from satpy.modifiers.geometry import SunZenithCorrector
comp = SunZenithCorrector(name='sza_test', modifiers=tuple(), correction_limit=90)
res = comp((sunz_ds1,), test_attr='test')
np.testing.assert_allclose(res.values, np.array([[66.853262, 68.168939], [66.30742, 67.601493]]))
[docs] @pytest.mark.parametrize("data_arr", [lazy_fixture("sunz_ds1"), lazy_fixture("sunz_ds1_stacked")])
def test_basic_default_provided(self, data_arr, sunz_sza):
"""Test default limits when SZA is provided."""
from satpy.modifiers.geometry import SunZenithCorrector
comp = SunZenithCorrector(name='sza_test', modifiers=tuple())
res = comp((data_arr, sunz_sza), test_attr='test')
np.testing.assert_allclose(res.values, np.array([[22.401667, 22.31777], [22.437503, 22.353533]]))
[docs] @pytest.mark.parametrize("data_arr", [lazy_fixture("sunz_ds1"), lazy_fixture("sunz_ds1_stacked")])
def test_basic_lims_provided(self, data_arr, sunz_sza):
"""Test custom limits when SZA is provided."""
from satpy.modifiers.geometry import SunZenithCorrector
comp = SunZenithCorrector(name='sza_test', modifiers=tuple(), correction_limit=90)
res = comp((data_arr, sunz_sza), test_attr='test')
np.testing.assert_allclose(res.values, np.array([[66.853262, 68.168939], [66.30742, 67.601493]]))
[docs] def test_imcompatible_areas(self, sunz_ds2, sunz_sza):
"""Test sunz correction on incompatible areas."""
from satpy.composites import IncompatibleAreas
from satpy.modifiers.geometry import SunZenithCorrector
comp = SunZenithCorrector(name='sza_test', modifiers=tuple(), correction_limit=90)
with pytest.raises(IncompatibleAreas):
comp((sunz_ds2, sunz_sza), test_attr='test')
[docs]class TestNIRReflectance(unittest.TestCase):
"""Test NIR reflectance compositor."""
[docs] def setUp(self):
"""Set up the test case for the NIRReflectance compositor."""
self.get_lonlats = mock.MagicMock()
self.lons, self.lats = 1, 2
self.get_lonlats.return_value = (self.lons, self.lats)
area = mock.MagicMock(get_lonlats=self.get_lonlats)
self.start_time = 1
self.metadata = {'platform_name': 'Meteosat-11',
'sensor': 'seviri',
'name': 'IR_039',
'area': area,
'start_time': self.start_time}
nir_arr = np.random.random((2, 2))
self.nir = xr.DataArray(da.from_array(nir_arr), dims=['y', 'x'])
self.nir.attrs.update(self.metadata)
ir_arr = 100 * np.random.random((2, 2))
self.ir_ = xr.DataArray(da.from_array(ir_arr), dims=['y', 'x'])
self.ir_.attrs['area'] = area
self.sunz_arr = 100 * np.random.random((2, 2))
self.sunz = xr.DataArray(da.from_array(self.sunz_arr), dims=['y', 'x'])
self.sunz.attrs['standard_name'] = 'solar_zenith_angle'
self.sunz.attrs['area'] = area
self.da_sunz = da.from_array(self.sunz_arr)
refl_arr = np.random.random((2, 2))
self.refl = da.from_array(refl_arr)
self.refl_with_co2 = da.from_array(np.random.random((2, 2)))
self.refl_from_tbs = mock.MagicMock()
self.refl_from_tbs.side_effect = self.fake_refl_from_tbs
[docs] def fake_refl_from_tbs(self, sun_zenith, da_nir, da_tb11, tb_ir_co2=None):
"""Fake refl_from_tbs."""
del sun_zenith, da_nir, da_tb11
if tb_ir_co2 is not None:
return self.refl_with_co2
return self.refl
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle')
@mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info')
@mock.patch('satpy.modifiers.spectral.Calculator')
def test_provide_sunz_no_co2(self, calculator, apply_modifier_info, sza):
"""Test NIR reflectance compositor provided only sunz."""
calculator.return_value = mock.MagicMock(
reflectance_from_tbs=self.refl_from_tbs)
sza.return_value = self.da_sunz
from satpy.modifiers.spectral import NIRReflectance
comp = NIRReflectance(name='test')
info = {'modifiers': None}
res = comp([self.nir, self.ir_], optional_datasets=[self.sunz], **info)
assert self.metadata.items() <= res.attrs.items()
assert res.attrs['units'] == '%'
assert res.attrs['sun_zenith_threshold'] is not None
assert np.allclose(res.data, self.refl * 100).compute()
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle')
@mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info')
@mock.patch('satpy.modifiers.spectral.Calculator')
def test_no_sunz_no_co2(self, calculator, apply_modifier_info, sza):
"""Test NIR reflectance compositor with minimal parameters."""
calculator.return_value = mock.MagicMock(
reflectance_from_tbs=self.refl_from_tbs)
sza.return_value = self.da_sunz
from satpy.modifiers.spectral import NIRReflectance
comp = NIRReflectance(name='test')
info = {'modifiers': None}
res = comp([self.nir, self.ir_], optional_datasets=[], **info)
self.get_lonlats.assert_called()
sza.assert_called_with(self.start_time, self.lons, self.lats)
self.refl_from_tbs.assert_called_with(self.da_sunz, self.nir.data, self.ir_.data, tb_ir_co2=None)
assert np.allclose(res.data, self.refl * 100).compute()
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle')
@mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info')
@mock.patch('satpy.modifiers.spectral.Calculator')
def test_no_sunz_with_co2(self, calculator, apply_modifier_info, sza):
"""Test NIR reflectance compositor provided extra co2 info."""
calculator.return_value = mock.MagicMock(
reflectance_from_tbs=self.refl_from_tbs)
from satpy.modifiers.spectral import NIRReflectance
sza.return_value = self.da_sunz
comp = NIRReflectance(name='test')
info = {'modifiers': None}
co2_arr = np.random.random((2, 2))
co2 = xr.DataArray(da.from_array(co2_arr), dims=['y', 'x'])
co2.attrs['wavelength'] = [12.0, 13.0, 14.0]
co2.attrs['units'] = 'K'
res = comp([self.nir, self.ir_], optional_datasets=[co2], **info)
self.refl_from_tbs.assert_called_with(self.da_sunz, self.nir.data, self.ir_.data, tb_ir_co2=co2.data)
assert np.allclose(res.data, self.refl_with_co2 * 100).compute()
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle')
@mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info')
@mock.patch('satpy.modifiers.spectral.Calculator')
def test_provide_sunz_and_threshold(self, calculator, apply_modifier_info, sza):
"""Test NIR reflectance compositor provided sunz and a sunz threshold."""
calculator.return_value = mock.MagicMock(
reflectance_from_tbs=self.refl_from_tbs)
from satpy.modifiers.spectral import NIRReflectance
sza.return_value = self.da_sunz
comp = NIRReflectance(name='test', sunz_threshold=84.0)
info = {'modifiers': None}
res = comp([self.nir, self.ir_], optional_datasets=[self.sunz], **info)
self.assertEqual(res.attrs['sun_zenith_threshold'], 84.0)
calculator.assert_called_with('Meteosat-11', 'seviri', 'IR_039',
sunz_threshold=84.0, masking_limit=NIRReflectance.MASKING_LIMIT)
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle')
@mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info')
@mock.patch('satpy.modifiers.spectral.Calculator')
def test_sunz_threshold_default_value_is_not_none(self, calculator, apply_modifier_info, sza):
"""Check that sun_zenith_threshold is not None."""
from satpy.modifiers.spectral import NIRReflectance
comp = NIRReflectance(name='test')
info = {'modifiers': None}
calculator.return_value = mock.MagicMock(
reflectance_from_tbs=self.refl_from_tbs)
comp([self.nir, self.ir_], optional_datasets=[self.sunz], **info)
assert comp.sun_zenith_threshold is not None
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle')
@mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info')
@mock.patch('satpy.modifiers.spectral.Calculator')
def test_provide_masking_limit(self, calculator, apply_modifier_info, sza):
"""Test NIR reflectance compositor provided sunz and a sunz threshold."""
calculator.return_value = mock.MagicMock(
reflectance_from_tbs=self.refl_from_tbs)
from satpy.modifiers.spectral import NIRReflectance
sza.return_value = self.da_sunz
comp = NIRReflectance(name='test', masking_limit=None)
info = {'modifiers': None}
res = comp([self.nir, self.ir_], optional_datasets=[self.sunz], **info)
self.assertIsNone(res.attrs['sun_zenith_masking_limit'])
calculator.assert_called_with('Meteosat-11', 'seviri', 'IR_039',
sunz_threshold=NIRReflectance.TERMINATOR_LIMIT, masking_limit=None)
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle')
@mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info')
@mock.patch('satpy.modifiers.spectral.Calculator')
def test_masking_limit_default_value_is_not_none(self, calculator, apply_modifier_info, sza):
"""Check that sun_zenith_threshold is not None."""
from satpy.modifiers.spectral import NIRReflectance
comp = NIRReflectance(name='test')
info = {'modifiers': None}
calculator.return_value = mock.MagicMock(
reflectance_from_tbs=self.refl_from_tbs)
comp([self.nir, self.ir_], optional_datasets=[self.sunz], **info)
assert comp.masking_limit is not None
[docs]class TestNIREmissivePartFromReflectance(unittest.TestCase):
"""Test the NIR Emissive part from reflectance compositor."""
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle')
@mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info')
@mock.patch('satpy.modifiers.spectral.Calculator')
def test_compositor(self, calculator, apply_modifier_info, sza):
"""Test the NIR emissive part from reflectance compositor."""
from satpy.modifiers.spectral import NIRReflectance
refl_arr = np.random.random((2, 2))
refl = da.from_array(refl_arr)
refl_from_tbs = mock.MagicMock()
refl_from_tbs.return_value = refl
calculator.return_value = mock.MagicMock(reflectance_from_tbs=refl_from_tbs)
emissive_arr = np.random.random((2, 2))
emissive = da.from_array(emissive_arr)
emissive_part = mock.MagicMock()
emissive_part.return_value = emissive
calculator.return_value = mock.MagicMock(emissive_part_3x=emissive_part)
from satpy.modifiers.spectral import NIREmissivePartFromReflectance
comp = NIREmissivePartFromReflectance(name='test', sunz_threshold=86.0)
info = {'modifiers': None}
platform = 'NOAA-20'
sensor = 'viirs'
chan_name = 'M12'
get_lonlats = mock.MagicMock()
lons, lats = 1, 2
get_lonlats.return_value = (lons, lats)
area = mock.MagicMock(get_lonlats=get_lonlats)
nir_arr = np.random.random((2, 2))
nir = xr.DataArray(da.from_array(nir_arr), dims=['y', 'x'])
nir.attrs['platform_name'] = platform
nir.attrs['sensor'] = sensor
nir.attrs['name'] = chan_name
nir.attrs['area'] = area
ir_arr = np.random.random((2, 2))
ir_ = xr.DataArray(da.from_array(ir_arr), dims=['y', 'x'])
ir_.attrs['area'] = area
sunz_arr = 100 * np.random.random((2, 2))
sunz = xr.DataArray(da.from_array(sunz_arr), dims=['y', 'x'])
sunz.attrs['standard_name'] = 'solar_zenith_angle'
sunz.attrs['area'] = area
sunz2 = da.from_array(sunz_arr)
sza.return_value = sunz2
res = comp([nir, ir_], optional_datasets=[sunz], **info)
self.assertEqual(res.attrs['sun_zenith_threshold'], 86.0)
self.assertEqual(res.attrs['units'], 'K')
self.assertEqual(res.attrs['platform_name'], platform)
self.assertEqual(res.attrs['sensor'], sensor)
self.assertEqual(res.attrs['name'], chan_name)
calculator.assert_called_with('NOAA-20', 'viirs', 'M12', sunz_threshold=86.0,
masking_limit=NIRReflectance.MASKING_LIMIT)
[docs]class TestPSPAtmosphericalCorrection(unittest.TestCase):
"""Test the pyspectral-based atmospheric correction modifier."""
[docs] def test_call(self):
"""Test atmospherical correction."""
from pyresample.geometry import SwathDefinition
from satpy.modifiers import PSPAtmosphericalCorrection
# Patch methods
lons = np.zeros((5, 5))
lons[1, 1] = np.inf
lons = da.from_array(lons, chunks=5)
lats = np.zeros((5, 5))
lats[1, 1] = np.inf
lats = da.from_array(lats, chunks=5)
area = SwathDefinition(lons, lats)
stime = datetime(2020, 1, 1, 12, 0, 0)
orb_params = {
"satellite_actual_altitude": 12345678,
"nadir_longitude": 0.0,
"nadir_latitude": 0.0,
}
band = xr.DataArray(da.zeros((5, 5)),
attrs={'area': area,
'start_time': stime,
'name': 'name',
'platform_name': 'platform',
'sensor': 'sensor',
'orbital_parameters': orb_params},
dims=('y', 'x'))
# Perform atmospherical correction
psp = PSPAtmosphericalCorrection(name='dummy')
res = psp(projectables=[band])
res.compute()
def _angle_cache_area_def():
area = AreaDefinition(
"test", "", "",
{"proj": "merc"},
5, 5,
(-2500, -2500, 2500, 2500),
)
return area
def _angle_cache_stacked_area_def():
area1 = AreaDefinition(
"test", "", "",
{"proj": "merc"},
5, 2,
(2500, 500, 7500, 2500),
)
area2 = AreaDefinition(
"test", "", "",
{"proj": "merc"},
5, 3,
(2500, -2500, 7500, 500),
)
return StackedAreaDefinition(area1, area2)
def _get_angle_test_data(area_def: Optional[Union[AreaDefinition, StackedAreaDefinition]] = None,
chunks: Optional[Union[int, tuple]] = 2) -> xr.DataArray:
if area_def is None:
area_def = _angle_cache_area_def()
orb_params = {
"satellite_nominal_altitude": 12345678,
"satellite_nominal_longitude": 10.0,
"satellite_nominal_latitude": 0.0,
}
stime = datetime(2020, 1, 1, 12, 0, 0)
data = da.zeros((5, 5), chunks=chunks)
vis = xr.DataArray(data,
attrs={
'area': area_def,
'start_time': stime,
'orbital_parameters': orb_params,
})
return vis
def _get_stacked_angle_test_data():
return _get_angle_test_data(area_def=_angle_cache_stacked_area_def(),
chunks=(5, (2, 2, 1)))
def _get_angle_test_data_odd_chunks():
return _get_angle_test_data(chunks=((2, 1, 2), (1, 1, 2, 1)))
def _similar_sat_pos_datetime(orig_data, lon_offset=0.04):
# change data slightly
new_data = orig_data.copy()
old_lon = new_data.attrs["orbital_parameters"]["satellite_nominal_longitude"]
new_data.attrs["orbital_parameters"]["satellite_nominal_longitude"] = old_lon + lon_offset
new_data.attrs["start_time"] = new_data.attrs["start_time"] + timedelta(hours=36)
return new_data
def _diff_sat_pos_datetime(orig_data):
return _similar_sat_pos_datetime(orig_data, lon_offset=0.05)
def _glob_reversed(pat):
"""Behave like glob but force results to be in the wrong order."""
return sorted(glob(pat), reverse=True)
@contextlib.contextmanager
def _mock_glob_if(mock_glob):
if mock_glob:
with mock.patch("satpy.modifiers.angles.glob", _glob_reversed):
yield
else:
yield
def _assert_allclose_if(expect_equal, arr1, arr2):
if not expect_equal:
pytest.raises(AssertionError, np.testing.assert_allclose, arr1, arr2)
else:
np.testing.assert_allclose(arr1, arr2)
[docs]class TestAngleGeneration:
"""Test the angle generation utility functions."""
[docs] @pytest.mark.parametrize("input_func", [_get_angle_test_data, _get_stacked_angle_test_data])
def test_get_angles(self, input_func):
"""Test sun and satellite angle calculation."""
from satpy.modifiers.angles import get_angles
data = input_func()
from pyorbital.orbital import get_observer_look
with mock.patch("satpy.modifiers.angles.get_observer_look", wraps=get_observer_look) as gol:
angles = get_angles(data)
assert all(isinstance(x, xr.DataArray) for x in angles)
da.compute(angles)
# get_observer_look should have been called once per array chunk
assert gol.call_count == data.data.blocks.size
# Check arguments of get_orbserver_look() call, especially the altitude
# unit conversion from meters to kilometers
args = gol.call_args[0]
assert args[:4] == (10.0, 0.0, 12345.678, data.attrs["start_time"])
[docs] @pytest.mark.parametrize("forced_preference", ["actual", "nadir"])
def test_get_angles_satpos_preference(self, forced_preference):
"""Test that 'actual' satellite position is used for generating sensor angles."""
from satpy.modifiers.angles import get_angles
input_data1 = _get_angle_test_data()
# add additional satellite position metadata
input_data1.attrs["orbital_parameters"]["nadir_longitude"] = 9.0
input_data1.attrs["orbital_parameters"]["nadir_latitude"] = 0.01
input_data1.attrs["orbital_parameters"]["satellite_actual_longitude"] = 9.5
input_data1.attrs["orbital_parameters"]["satellite_actual_latitude"] = 0.005
input_data1.attrs["orbital_parameters"]["satellite_actual_altitude"] = 12345679
input_data2 = input_data1.copy(deep=True)
input_data2.attrs = deepcopy(input_data1.attrs)
input_data2.attrs["orbital_parameters"]["nadir_longitude"] = 9.1
input_data2.attrs["orbital_parameters"]["nadir_latitude"] = 0.02
input_data2.attrs["orbital_parameters"]["satellite_actual_longitude"] = 9.5
input_data2.attrs["orbital_parameters"]["satellite_actual_latitude"] = 0.005
input_data2.attrs["orbital_parameters"]["satellite_actual_altitude"] = 12345679
from pyorbital.orbital import get_observer_look
with mock.patch("satpy.modifiers.angles.get_observer_look", wraps=get_observer_look) as gol, \
satpy.config.set(sensor_angles_position_preference=forced_preference):
angles1 = get_angles(input_data1)
da.compute(angles1)
angles2 = get_angles(input_data2)
da.compute(angles2)
# get_observer_look should have been called once per array chunk
assert gol.call_count == input_data1.data.blocks.size * 2
if forced_preference == "actual":
exp_call = mock.call(9.5, 0.005, 12345.679, input_data1.attrs["start_time"], mock.ANY, mock.ANY, 0)
all_same_calls = [exp_call] * gol.call_count
gol.assert_has_calls(all_same_calls)
# the dask arrays should have the same name to prove they are the same computation
for angle_arr1, angle_arr2 in zip(angles1, angles2):
assert angle_arr1.data.name == angle_arr2.data.name
else:
# nadir 1
gol.assert_any_call(9.0, 0.01, 12345.679, input_data1.attrs["start_time"], mock.ANY, mock.ANY, 0)
# nadir 2
gol.assert_any_call(9.1, 0.02, 12345.679, input_data1.attrs["start_time"], mock.ANY, mock.ANY, 0)
[docs] @pytest.mark.parametrize("force_bad_glob", [False, True])
@pytest.mark.parametrize(
("input2_func", "exp_equal_sun", "exp_num_zarr"),
[
(lambda x: x, True, 4),
(_similar_sat_pos_datetime, False, 4),
(_diff_sat_pos_datetime, False, 6),
]
)
@pytest.mark.parametrize(
("input_func", "num_normalized_chunks"),
[
(_get_angle_test_data, 9),
(_get_stacked_angle_test_data, 3),
(_get_angle_test_data_odd_chunks, 9),
])
def test_cache_get_angles(
self,
input_func, num_normalized_chunks,
input2_func, exp_equal_sun, exp_num_zarr,
force_bad_glob, tmp_path):
"""Test get_angles when caching is enabled."""
from satpy.modifiers.angles import STATIC_EARTH_INERTIAL_DATETIME, get_angles
# Patch methods
data = input_func()
additional_cache = exp_num_zarr > 4
# Compute angles
from pyorbital.orbital import get_observer_look
with mock.patch("satpy.modifiers.angles.get_observer_look", wraps=get_observer_look) as gol, \
satpy.config.set(cache_lonlats=True, cache_sensor_angles=True, cache_dir=str(tmp_path)), \
warnings.catch_warnings(record=True) as caught_warnings:
res = get_angles(data)
self._check_cached_result(res, data)
# call again, should be cached
new_data = input2_func(data)
with _mock_glob_if(force_bad_glob):
res2 = get_angles(new_data)
self._check_cached_result(res2, data)
res_numpy, res2_numpy = da.compute(res, res2)
for r1, r2 in zip(res_numpy[:2], res2_numpy[:2]):
_assert_allclose_if(not additional_cache, r1, r2)
for r1, r2 in zip(res_numpy[2:], res2_numpy[2:]):
_assert_allclose_if(exp_equal_sun, r1, r2)
self._check_cache_and_clear(tmp_path, exp_num_zarr)
if "odd_chunks" in input_func.__name__:
assert any(w.category is PerformanceWarning for w in caught_warnings)
else:
assert not any(w.category is PerformanceWarning for w in caught_warnings)
assert gol.call_count == num_normalized_chunks * (int(additional_cache) + 1)
args = gol.call_args_list[0][0]
assert args[:4] == (10.0, 0.0, 12345.678, STATIC_EARTH_INERTIAL_DATETIME)
exp_sat_lon = 10.1 if additional_cache else 10.0
args = gol.call_args_list[-1][0]
assert args[:4] == (exp_sat_lon, 0.0, 12345.678, STATIC_EARTH_INERTIAL_DATETIME)
@staticmethod
def _check_cached_result(results, input_data):
assert all(isinstance(x, xr.DataArray) for x in results)
# output chunks should be consistent
for angle_data_arr in results:
assert angle_data_arr.chunks == input_data.chunks
@staticmethod
def _check_cache_and_clear(tmp_path, exp_num_zarr):
from satpy.modifiers.angles import _get_sensor_angles_from_sat_pos, _get_valid_lonlats
zarr_dirs = glob(str(tmp_path / "*.zarr"))
assert len(zarr_dirs) == exp_num_zarr # two for lon/lat, one for sata, one for satz
_get_valid_lonlats.cache_clear()
_get_sensor_angles_from_sat_pos.cache_clear()
zarr_dirs = glob(str(tmp_path / "*.zarr"))
assert len(zarr_dirs) == 0
[docs] def test_cached_no_chunks_fails(self, tmp_path):
"""Test that trying to pass non-dask arrays and no chunks fails."""
from satpy.modifiers.angles import _sanitize_args_with_chunks, cache_to_zarr_if
@cache_to_zarr_if("cache_lonlats", sanitize_args_func=_sanitize_args_with_chunks)
def _fake_func(data, tuple_arg, chunks):
return da.from_array(data)
data = list(range(5))
with pytest.raises(RuntimeError), \
satpy.config.set(cache_lonlats=True, cache_dir=str(tmp_path)):
_fake_func(data, (1, 2, 3), 5)
[docs] def test_cached_result_numpy_fails(self, tmp_path):
"""Test that trying to cache with non-dask arrays fails."""
from satpy.modifiers.angles import _sanitize_args_with_chunks, cache_to_zarr_if
@cache_to_zarr_if("cache_lonlats", sanitize_args_func=_sanitize_args_with_chunks)
def _fake_func(shape, chunks):
return np.zeros(shape)
with pytest.raises(ValueError), \
satpy.config.set(cache_lonlats=True, cache_dir=str(tmp_path)):
_fake_func((5, 5), ((5,), (5,)))
[docs] def test_no_cache_dir_fails(self, tmp_path):
"""Test that 'cache_dir' not being set fails."""
from satpy.modifiers.angles import _get_sensor_angles_from_sat_pos, get_angles
data = _get_angle_test_data()
with pytest.raises(RuntimeError), \
satpy.config.set(cache_lonlats=True, cache_sensor_angles=True, cache_dir=None):
get_angles(data)
with pytest.raises(RuntimeError), \
satpy.config.set(cache_lonlats=True, cache_sensor_angles=True, cache_dir=None):
_get_sensor_angles_from_sat_pos.cache_clear()