Source code for satpy.tests.reader_tests.test_goci2_l2_nc

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2016-2018 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.goci2_l2_nc module."""

import datetime as dt

import numpy as np
import pytest
import xarray as xr
from pytest_lazy_fixtures import lf as lazy_fixture

from satpy import Scene
from satpy.tests.utils import RANDOM_GEN

# NOTE:
# The following fixtures are not defined in this file, but are used and injected by Pytest:
# - tmp_path_factory


start_time = dt.datetime(2024, 2, 14, 2, 32, 27)
end_time = dt.datetime(2024, 2, 14, 2, 33, 31)

global_attrs = {
    "observation_start_time": start_time.strftime("%Y%m%d_%H%M%S"),
    "observation_end_time": end_time.strftime("%Y%m%d_%H%M%S"),
    "instrument": "GOCI-II",
    "platform": "GK-2B",
}

badarea_attrs = global_attrs.copy()
badarea_attrs["cdm_data_type"] = "bad_area"


[docs] def _create_lonlat(): """Create a fake navigation dataset with lon/lat.""" lon, lat = np.meshgrid(np.linspace(120, 130, 10), np.linspace(30, 40, 10)) lon = xr.DataArray( lon, dims=("number_of_lines", "pixels_per_line"), attrs={"standard_name": "longitude", "units": "degrees_east"}, ) lat = xr.DataArray( lat, dims=("number_of_lines", "pixels_per_line"), attrs={"standard_name": "latitude", "units": "degrees_north"}, ) ds = xr.Dataset() ds["longitude"] = lon ds["latitude"] = lat return ds
[docs] def _create_bad_lon_lat(): """Create a fake navigation dataset with lon/lat base name missing.""" lon, lat = np.meshgrid(np.linspace(120, 130, 10), np.linspace(30, 40, 10)) ds = xr.Dataset( { "longitude": (["number_of_lines", "pixels_per_line"], lon), "latitude": (["number_of_lines", "pixels_per_line"], lat), } ) return ds
[docs] @pytest.fixture(scope="session") def ac_file(tmp_path_factory): """Create a fake atmospheric correction product.""" data = RANDOM_GEN.random((10, 10)) RhoC = xr.Dataset( {"RhoC_555": (["number_of_lines", "pixels_per_line"], data)}, coords={"number_of_lines": np.arange(10), "pixels_per_line": np.arange(10)}, ) Rrs = xr.Dataset( {"Rrs_555": (["number_of_lines", "pixels_per_line"], data)}, coords={"number_of_lines": np.arange(10), "pixels_per_line": np.arange(10)}, ) navigation = _create_lonlat() ds = xr.Dataset(attrs=global_attrs) fname = ( f'{tmp_path_factory.mktemp("data")}/GK2B_GOCI2_L2_20240214_021530_LA_S010_AC.nc' ) ds.to_netcdf(fname) navigation.to_netcdf(fname, group="navigation_data", mode="a") RhoC.to_netcdf(fname, group="geophysical_data/RhoC", mode="a") Rrs.to_netcdf(fname, group="geophysical_data/Rrs", mode="a") return fname
[docs] @pytest.fixture(scope="module") def iop_file(tmp_path_factory): """Create a fake IOP product.""" data = RANDOM_GEN.random((10, 10)) a = xr.Dataset( {"a_total_555": (["number_of_lines", "pixels_per_line"], data)}, coords={"number_of_lines": np.arange(10), "pixels_per_line": np.arange(10)}, ) bb = xr.Dataset( {"bb_total_555": (["number_of_lines", "pixels_per_line"], data)}, coords={"number_of_lines": np.arange(10), "pixels_per_line": np.arange(10)}, ) navigation = _create_lonlat() ds = xr.Dataset(attrs=global_attrs) fname = f'{tmp_path_factory.mktemp("data")}/GK2B_GOCI2_L2_20240214_021530_LA_S010_IOP.nc' ds.to_netcdf(fname) navigation.to_netcdf(fname, group="navigation_data", mode="a") a.to_netcdf(fname, group="geophysical_data/a_total", mode="a") bb.to_netcdf(fname, group="geophysical_data/bb_total", mode="a") return fname
[docs] @pytest.fixture(scope="module") def generic_file(tmp_path_factory): """Create a fake ouput product like Chl, Zsd etc.""" data = RANDOM_GEN.random((10, 10)) geophysical_data = xr.Dataset( {"Chl": (["number_of_lines", "pixels_per_line"], data)}, coords={"number_of_lines": np.arange(10), "pixels_per_line": np.arange(10)}, ) navigation = _create_lonlat() ds = xr.Dataset(attrs=global_attrs) fname = f'{tmp_path_factory.mktemp("data")}/GK2B_GOCI2_L2_20240214_021530_LA_S010_Chl.nc' ds.to_netcdf(fname) navigation.to_netcdf(fname, group="navigation_data", mode="a") geophysical_data.to_netcdf(fname, group="geophysical_data", mode="a") return fname
[docs] @pytest.fixture(scope="module") def generic_bad_file(tmp_path_factory): """Create a PP product with lon/lat base name missing.""" data = RANDOM_GEN.random((10, 10)) geophysical_data = xr.Dataset( {"PP": (["number_of_lines", "pixels_per_line"], data)}, coords={"number_of_lines": np.arange(10), "pixels_per_line": np.arange(10)}, ) navigation = _create_bad_lon_lat() ds = xr.Dataset(attrs=global_attrs) fname = ( f'{tmp_path_factory.mktemp("data")}/GK2B_GOCI2_L2_20240214_021530_LA_S010_PP.nc' ) ds.to_netcdf(fname) navigation.to_netcdf(fname, group="navigation_data", mode="a") geophysical_data.to_netcdf(fname, group="geophysical_data", mode="a") return fname
[docs] class TestGOCI2Reader: """Test the GOCI-II L2 netcdf file reader."""
[docs] @pytest.mark.parametrize( "test_files", [ lazy_fixture("ac_file"), lazy_fixture("iop_file"), lazy_fixture("generic_file"), lazy_fixture("generic_bad_file"), ], ) def test_scene_available_datasets(self, test_files): """Test that datasets are available.""" scene = Scene(filenames=[test_files], reader="goci2_l2_nc") available_datasets = scene.all_dataset_names() assert len(available_datasets) > 0 assert "longitude" in available_datasets assert "latitude" in available_datasets
[docs] @pytest.mark.parametrize( "test_files", [ lazy_fixture("ac_file"), lazy_fixture("iop_file"), lazy_fixture("generic_file"), lazy_fixture("generic_bad_file"), ], ) def test_start_end_time(self, test_files): """Test dataset start_time and end_time.""" scene = Scene(filenames=[test_files], reader="goci2_l2_nc") assert scene.start_time == start_time assert scene.end_time == end_time
[docs] @pytest.mark.parametrize( ("test_files", "datasets"), [ (lazy_fixture("ac_file"), ["RhoC_555", "Rrs_555"]), (lazy_fixture("iop_file"), ["a_total_555", "bb_total_555"]), (lazy_fixture("generic_file"), ["Chl"]), (lazy_fixture("generic_bad_file"), ["PP"]), ], ) def test_load_dataset(self, test_files, datasets): """Test dataset loading.""" scene = Scene(filenames=[test_files], reader="goci2_l2_nc") scene.load(datasets) for dataset in datasets: data_arr = scene[dataset] assert data_arr.dims == ("y", "x")