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import os
import pytest
# from typing import Dict
# from attrs import define, field, Factory
import mvcm.spectral_tests as tst
@pytest.fixture
def fixturepath():
return os.path.join(os.path.dirname(__file__), "fixtures")
@pytest.fixture
def data_path():
return "/ships19/hercules/pveglio/mvcm_cleanup"
# SET FILENAME FIXTURES
@pytest.fixture
def thresholds_file(fixturepath):
return os.path.join(fixturepath, "thresholds.mvcm.snpp.v0.0.1.yaml")
@pytest.fixture
def ref_confidence_file(data_path):
return os.path.join(data_path, "ref_confidence.nc")
@pytest.fixture
def data_file(data_path):
return os.path.join(data_path, "viirs_data_A2022173.1312.nc")
# SET DATA FIXTURES
@pytest.fixture
def thresholds(thresholds_file):
return yaml.safe_load(open(thresholds_file))
@pytest.fixture
def data(data_file):
return xr.open_dataset(data_file)
@pytest.fixture
def ref_confidence(ref_confidence_file):
return xr.open_dataset(ref_confidence_file)
def test_11um_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in [
"Ocean_Day",
"Ocean_Night",
"Polar_Day_Ocean",
"Polar_Night_Ocean",
]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.test_11um("M15", cmin)
assert np.allclose(cmin, ref_confidence.bt11um_confidence.values)
def test_surface_temperature_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in ["Land_Night", "Polar_Night_Land"]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.surface_temperature_test("M15", data, cmin)
assert np.allclose(cmin, ref_confidence.surface_temperature_confidence.values)
def test_sst_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in [
"Ocean_Day",
"Ocean_Night",
"Polar_Day_Ocean",
"Polar_Night_Ocean",
]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.sst_test("M15", "M16", cmin)
assert np.allclose(cmin, ref_confidence.sst_confidence.values)
def test_bt_diff_86_11um(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in [
"Ocean_Day",
"Ocean_Night",
"Polar_Day_Ocean",
"Polar_Night_Ocean",
]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.bt_diff_86_11um("M14-M15", cmin)
assert np.allclose(cmin, ref_confidence.diff86_11um_confidence.values)
def test_11_12um_diff(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in [
"Land_Day",
"Land_Day_Coast",
"Land_Day_Desert",
"Land_Day_Desert_Coast",
"Ocean_Day",
"Ocean_Night",
"Polar_Day_Ocean",
"Polar_Night_Ocean",
"Polar_Day_Land",
"Polar_Day_Coast",
"Polar_Day_Desert",
"Polar_Day_Desert_Coast",
"Polar_Day_Snow",
"Land_Night",
"Polar_Night_Land",
"Polar_Night_Snow",
"Day_Snow",
"Night_Snow",
]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.test_11_12um_diff("M15-M16", cmin)
assert np.allclose(cmin, ref_confidence.diff11_12um_confidence.values)
def test_bt_difference_11_4um_test_ocean():
pass
def test_bt_difference_11_4um_test_land():
pass
def test_variability_11um_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in ["Polar_Day_Ocean", "Polar_Night_Ocean"]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.variability_11um_test("M15", cmin)
assert np.allclose(cmin, ref_confidence.var11um_confidence.values)
def test_oceanic_stratus_11_4um_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in [
"Land_Day",
"Land_Day_Coast",
"Land_Day_Desert",
"Land_Day_Desert_Coast",
"Ocean_Day",
"Ocean_Night",
"Polar_Day_Land",
"Polar_Day_Coast",
"Polar_Day_Desert",
"Polar_Day_Desert_Coast",
"Polar_Day_Ocean",
"Polar_Night_Ocean",
]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.oceanic_stratus_11_4um_test("M15-M12", cmin)
assert np.allclose(cmin, ref_confidence.oceanic_stratus_11_4um_confidence.values)
def test_nir_reflectance_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in ["Ocean_Day", "Polar_Day_Ocean"]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.nir_reflectance_test("M07", cmin)
assert np.allclose(cmin, ref_confidence.NIR_reflectance_confidence.values)
def test_vis_nir_ratio_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in ["Ocean_Day", "Polar_Day_Ocean"]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.vis_nir_ratio_test("M07-M05ratio", cmin)
assert np.allclose(cmin, ref_confidence.Vis_NIR_ratio_confidence.values)
def test_16_21um_reflectance_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in ["Ocean_Day", "Polar_Day_Ocean"]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.test_16_21um_reflectance("M10", cmin)
assert np.allclose(cmin, ref_confidence.refl_16_21um_confidence.values)
def test_visible_reflectance_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in [
"Land_Day",
"Land_Day_Coast",
"Land_Day_Desert",
"Land_Day_Desert_Coast",
"Polar_Day_Land",
"Polar_Day_Coast",
"Polar_Day_Desert",
"Polar_Day_Desert_Coast",
]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.visible_reflectance_test("M128", cmin)
assert np.allclose(cmin, ref_confidence.vis_reflectance_confidence.values)
def test_GEMI_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in ["Land_Day_Desert", "Polar_Day_Desert"]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.gemi_test("GEMI", cmin)
assert np.allclose(cmin, ref_confidence.gemi_confidence.values)
def test_1_38um_high_clouds_test(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in [
"Land_Day",
"Land_Day_Coast",
"Land_Day_Desert",
"Land_Day_Desert_Coast",
"Polar_Day_Land",
"Polar_Day_Coast",
"Polar_Day_Desert",
"Polar_Day_Desert_Coast",
"Day_Snow",
"Ocean_Day",
"Polar_Day_Ocean",
]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.test_1_38um_high_clouds("M09", cmin)
assert np.allclose(cmin, ref_confidence.hi_clouds_confidence.values)
def test_4_12um_thin_cirrus_btd(data, thresholds, ref_confidence):
cmin = np.ones(data.latitude.shape)
for scene_name in [
"Land_Night",
"Polar_Night_Land",
"Polar_Night_Snow",
"Night_Snow",
]:
SceneType = tst.CloudTests(
data=data, scene_name=scene_name, thresholds=thresholds
)
cmin, bit = SceneType.thin_cirrus_4_12um_BTD_test("M13-M16", cmin)
assert np.allclose(cmin, ref_confidence.thin_cirrus_confidence.values)