# Copyright (c) 2016-2021 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/>.
"""Module for testing the satpy.readers.meris_nc_sen3 module."""
import unittest
import unittest.mock as mock
[docs]
class TestMERISReader(unittest.TestCase):
"""Test various meris_nc_sen3 filehandlers."""
[docs]
@mock.patch("xarray.open_dataset")
def test_instantiate(self, mocked_dataset):
"""Test initialization of file handlers."""
from satpy.readers.meris_nc_sen3 import NCMERIS2, NCMERISCal, NCMERISGeo
from satpy.tests.utils import make_dataid
ds_id = make_dataid(name="M01", calibration="reflectance")
ds_id2 = make_dataid(name="wsqf", calibration="reflectance")
filename_info = {"mission_id": "ENV", "dataset_name": "M01", "start_time": 0, "end_time": 0}
test = NCMERISCal("somedir/somefile.nc", filename_info, "c")
test.get_dataset(ds_id, filename_info)
mocked_dataset.assert_called()
mocked_dataset.reset_mock()
test = NCMERISGeo("somedir/somefile.nc", filename_info, "c")
test.get_dataset(ds_id, filename_info)
mocked_dataset.assert_called()
mocked_dataset.reset_mock()
test = NCMERIS2("somedir/somefile.nc", filename_info, "c")
test.get_dataset(ds_id, {"nc_key": "the_key"})
test.get_dataset(ds_id2, {"nc_key": "the_key"})
mocked_dataset.assert_called()
mocked_dataset.reset_mock()
[docs]
@mock.patch("xarray.open_dataset")
def test_open_file_objects(self, mocked_open_dataset):
"""Test initialization of file handlers."""
from satpy.readers.olci_nc import NCOLCIBase
filename_info = {"mission_id": "ENV", "dataset_name": "M01", "start_time": 0, "end_time": 0}
open_file = mock.MagicMock()
file_handler = NCOLCIBase(open_file, filename_info, "c")
# deepcode ignore W0104: This is a property that is actually a function call.
file_handler.nc # pylint: disable=W0104
mocked_open_dataset.assert_called()
open_file.open.assert_called()
assert (open_file.open.return_value in mocked_open_dataset.call_args[0] or
open_file.open.return_value == mocked_open_dataset.call_args[1].get("filename_or_obj"))
[docs]
@mock.patch("xarray.open_dataset")
def test_get_dataset(self, mocked_dataset):
"""Test reading datasets."""
import numpy as np
import xarray as xr
from satpy.readers.meris_nc_sen3 import NCMERIS2
from satpy.tests.utils import make_dataid
mocked_dataset.return_value = xr.Dataset({"mask": (["rows", "columns"],
np.array([1 << x for x in range(30)]).reshape(5, 6))},
coords={"rows": np.arange(5),
"columns": np.arange(6)})
ds_id = make_dataid(name="mask")
filename_info = {"mission_id": "ENV", "dataset_name": "mask", "start_time": 0, "end_time": 0}
test = NCMERIS2("somedir/somefile.nc", filename_info, "c")
res = test.get_dataset(ds_id, {"nc_key": "mask"})
assert res.dtype == np.dtype("bool")
[docs]
@mock.patch("xarray.open_dataset")
def test_meris_angles(self, mocked_dataset):
"""Test reading datasets."""
import numpy as np
import xarray as xr
from satpy.readers.meris_nc_sen3 import NCMERISAngles
from satpy.tests.utils import make_dataid
attr_dict = {
"ac_subsampling_factor": 1,
"al_subsampling_factor": 2,
}
mocked_dataset.return_value = xr.Dataset({"SAA": (["tie_rows", "tie_columns"],
np.array([1 << x for x in range(30)]).reshape(5, 6)),
"SZA": (["tie_rows", "tie_columns"],
np.array([1 << x for x in range(30)]).reshape(5, 6)),
"OAA": (["tie_rows", "tie_columns"],
np.array([1 << x for x in range(30)]).reshape(5, 6)),
"OZA": (["tie_rows", "tie_columns"],
np.array([1 << x for x in range(30)]).reshape(5, 6))},
coords={"rows": np.arange(5),
"columns": np.arange(6)},
attrs=attr_dict)
filename_info = {"mission_id": "ENV", "dataset_name": "M01", "start_time": 0, "end_time": 0}
ds_id = make_dataid(name="solar_azimuth_angle")
ds_id2 = make_dataid(name="satellite_zenith_angle")
test = NCMERISAngles("somedir/somefile.nc", filename_info, "c")
test.get_dataset(ds_id, filename_info)
test.get_dataset(ds_id2, filename_info)
mocked_dataset.assert_called()
mocked_dataset.reset_mock()
[docs]
@mock.patch("xarray.open_dataset")
def test_meris_meteo(self, mocked_dataset):
"""Test reading datasets."""
import numpy as np
import xarray as xr
from satpy.readers.meris_nc_sen3 import NCMERISMeteo
from satpy.tests.utils import make_dataid
attr_dict = {
"ac_subsampling_factor": 1,
"al_subsampling_factor": 2,
}
data = {"humidity": (["tie_rows", "tie_columns"],
np.array([1 << x for x in range(30)]).reshape(5, 6)),
"total_ozone": (["tie_rows", "tie_columns"],
np.array([1 << x for x in range(30)]).reshape(5, 6)),
"sea_level_pressure": (["tie_rows", "tie_columns"],
np.array([1 << x for x in range(30)]).reshape(5, 6)),
"total_columnar_water_vapour": (["tie_rows", "tie_columns"],
np.array([1 << x for x in range(30)]).reshape(5, 6))}
mocked_dataset.return_value = xr.Dataset(data,
coords={"rows": np.arange(5),
"columns": np.arange(6)},
attrs=attr_dict)
filename_info = {"mission_id": "ENV", "dataset_name": "humidity", "start_time": 0, "end_time": 0}
ds_id = make_dataid(name="humidity")
ds_id2 = make_dataid(name="total_ozone")
test = NCMERISMeteo("somedir/somefile.nc", filename_info, "c")
test.get_dataset(ds_id, filename_info)
test.get_dataset(ds_id2, filename_info)
mocked_dataset.assert_called()
mocked_dataset.reset_mock()
[docs]
class TestBitFlags(unittest.TestCase):
"""Test the bitflag reading."""
[docs]
def test_bitflags(self):
"""Test the BitFlags class."""
from functools import reduce
import numpy as np
from satpy.readers.olci_nc import BitFlags
flag_list = ["SEA_ICE", "MEGLINT", "HIGHGLINT", "CASE2_S", "CASE2_ANOM",
"HAZE_OVER_WATER", "WHITECAPS", "AC_FAIL", "BPAC_ON", "WHITE_SCATT",
"LOWRW", "HIGHRW", "OUT_OF_RANGE_AAC", "OUT_OF_SCOPE_AAC",
"OUT_OF_RANGE_OC_NN", "OUT_OF_SCOPE_OC_NN",
"OUT_OF_RANGE_CHL_OC4ME_INPUT", "OUT_OF_RANGE_CHL_OC4ME"]
bits = np.array([1 << x for x in range(len(flag_list))])
bflags = BitFlags(bits, flag_list=flag_list)
items = ["SEA_ICE", "MEGLINT", "HIGHGLINT",
"HAZE_OVER_WATER", "WHITECAPS", "AC_FAIL", "WHITE_SCATT",
"LOWRW", "HIGHRW", "OUT_OF_RANGE_AAC", "OUT_OF_SCOPE_AAC",
"OUT_OF_RANGE_OC_NN", "OUT_OF_SCOPE_OC_NN",
"OUT_OF_RANGE_CHL_OC4ME_INPUT", "OUT_OF_RANGE_CHL_OC4ME"]
mask = reduce(np.logical_or, [bflags[item] for item in items])
expected = np.array([True, True, True, False, False, True, True,
True, False, True, True, True, True, True, True,
True, True, True])
assert all(mask == expected)