Source code for satpy.tests.reader_tests.test_oci_l2_bgc

# 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
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"""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