# Copyright (c) 2024 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 the 'oci_l2_bgc' reader."""
import numpy as np
import pytest
from pyresample.geometry import SwathDefinition
from satpy import Scene, available_readers
from .test_seadas_l2 import _create_seadas_chlor_a_netcdf_file
# NOTE:
# The following fixtures are not defined in this file, but are used and injected by Pytest:
# - tmp_path_factory
[docs]
@pytest.fixture(scope="module")
def oci_l2_bgc_netcdf(tmp_path_factory):
"""Create MODIS SEADAS NetCDF file."""
filename = "PACE_OCI.20211118T175853.L2.OC_BGC.V2_0.NRT.nc4"
full_path = str(tmp_path_factory.mktemp("oci_l2_bgc") / filename)
return _create_seadas_chlor_a_netcdf_file(full_path, "PACE", "OCI")
[docs]
class TestSEADAS:
"""Test the OCI L2 file reader."""
[docs]
def test_available_reader(self):
"""Test that OCI L2 reader is available."""
assert "oci_l2_bgc" in available_readers()
[docs]
def test_scene_available_datasets(self, oci_l2_bgc_netcdf):
"""Test that datasets are available."""
scene = Scene(reader="oci_l2_bgc", filenames=oci_l2_bgc_netcdf)
available_datasets = scene.all_dataset_names()
assert len(available_datasets) > 0
assert "chlor_a" in available_datasets
[docs]
@pytest.mark.parametrize("apply_quality_flags", [False, True])
def test_load_chlor_a(self, oci_l2_bgc_netcdf, apply_quality_flags):
"""Test that we can load 'chlor_a'."""
reader_kwargs = {"apply_quality_flags": apply_quality_flags}
scene = Scene(reader="oci_l2_bgc", filenames=oci_l2_bgc_netcdf, reader_kwargs=reader_kwargs)
scene.load(["chlor_a"])
data_arr = scene["chlor_a"]
assert data_arr.dims == ("y", "x")
assert data_arr.attrs["platform_name"] == "PACE"
assert data_arr.attrs["sensor"] == {"oci"}
assert data_arr.attrs["units"] == "mg m^-3"
assert data_arr.dtype.type == np.float32
assert isinstance(data_arr.attrs["area"], SwathDefinition)
assert data_arr.attrs["rows_per_scan"] == 0
data = data_arr.data.compute()
if apply_quality_flags:
assert np.isnan(data[2, 2])
assert np.count_nonzero(np.isnan(data)) == 1
else:
assert np.count_nonzero(np.isnan(data)) == 0