Source code for satpy.tests.reader_tests.test_epic_l1b_h5

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2023 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
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# 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 <>.
"""The epic_l1b_h5 reader tests package."""

import os
import tempfile

import h5py
import numpy as np
import pytest

from satpy.readers.epic_l1b_h5 import CALIB_COEFS
from satpy.tests.utils import RANDOM_GEN

b317_data = RANDOM_GEN.uniform(low=0, high=5200, size=(100, 100))
b688_data = RANDOM_GEN.uniform(low=0, high=5200, size=(100, 100))
sza_data = RANDOM_GEN.uniform(low=0, high=100, size=(100, 100))
vaa_data = RANDOM_GEN.uniform(low=-180, high=180, size=(100, 100))
lon_data = RANDOM_GEN.uniform(low=-90, high=90, size=(100, 100))
lat_data = RANDOM_GEN.uniform(low=-180, high=180, size=(100, 100))
mas_data = RANDOM_GEN.choice([0, 1], size=(100, 100))

[docs] @pytest.fixture() def setup_hdf5_file(tmp_path): """Create temp hdf5 files.""" fn = tmp_path / "epic_1b_20150613120251_03.h5" make_fake_hdf_epic(fn) return fn
[docs] def make_fake_hdf_epic(fname): """Make a fake HDF5 file for EPIC data testing.""" fid = h5py.File(fname, "w") g1 = fid.create_group("Band317nm") g1.create_dataset("Image", shape=(100, 100), dtype=np.float32, data=b317_data) g2 = fid.create_group("Band688nm") g2.create_dataset("Image", shape=(100, 100), dtype=np.float32, data=b688_data) g3 = g2.create_group("Geolocation") g4 = g3.create_group("Earth") g4.create_dataset("SunAngleZenith", shape=(100, 100), dtype=np.float32, data=sza_data) g4.create_dataset("ViewAngleAzimuth", shape=(100, 100), dtype=np.float32, data=vaa_data) g4.create_dataset("Mask", shape=(100, 100), dtype=int, data=mas_data) g4.create_dataset("Latitude", shape=(100, 100), dtype=np.float32, data=lat_data) g4.create_dataset("Longitude", shape=(100, 100), dtype=np.float32, data=lon_data) fid.attrs.create("begin_time", "2015-06-13 12:00:37") fid.attrs.create("end_time", "2015-06-13 12:05:01") fid.close()
[docs] class TestEPICL1bReader: """Test the EPIC L1b HDF5 reader."""
[docs] def _setup_h5(self, setup_hdf5_file): """Initialise reader for the tests.""" from satpy.readers import load_reader test_reader = load_reader(self.reader_configs) loadables = test_reader.select_files_from_pathnames([setup_hdf5_file]) test_reader.create_filehandlers(loadables) return test_reader
[docs] def setup_method(self): """Set up the tests.""" from satpy._config import config_search_paths self.yaml_file = "epic_l1b_h5.yaml" self.filename_test = os.path.join( tempfile.gettempdir(), "epic_1b_20150613120251_03.h5", ) self.reader_configs = config_search_paths(os.path.join("readers", self.yaml_file))
[docs] def test_times(self, setup_hdf5_file): """Test start and end times load properly.""" import datetime as dt test_reader = self._setup_h5(setup_hdf5_file) assert test_reader.start_time == dt.datetime(2015, 6, 13, 12, 0, 37) assert test_reader.end_time == dt.datetime(2015, 6, 13, 12, 5, 1)
[docs] def test_counts_calibration(self, setup_hdf5_file): """Test that data is correctly calibrated.""" from satpy.tests.utils import make_dsq test_reader = self._setup_h5(setup_hdf5_file) # Test counts calibration ds = test_reader.load([make_dsq(name="B317", calibration="counts")]) np.testing.assert_allclose(ds["B317"].data, b317_data)
[docs] def test_refl_calibration(self, setup_hdf5_file): """Test that data is correctly calibrated into reflectances.""" from satpy.tests.utils import make_dsq test_reader = self._setup_h5(setup_hdf5_file) # Test conversion to reflectance ds = test_reader.load([make_dsq(name="B317", calibration="reflectance")]) np.testing.assert_allclose(ds["B317"].data, b317_data * CALIB_COEFS["B317"] * 100., rtol=1e-5)
[docs] def test_bad_calibration(self, setup_hdf5_file): """Test that error is raised if a bad calibration is used.""" from satpy.tests.utils import make_dsq test_reader = self._setup_h5(setup_hdf5_file) # Test nonsense calibration with pytest.raises(KeyError): test_reader.load([make_dsq(name="B317", calibration="potatoes")])
[docs] def test_load_ancillary(self, setup_hdf5_file): """Test that ancillary datasets load correctly.""" from satpy.tests.utils import make_dsq test_reader = self._setup_h5(setup_hdf5_file) # Load sza ds = test_reader.load([make_dsq(name="solar_zenith_angle"), make_dsq(name="satellite_azimuth_angle"), make_dsq(name="latitude"), make_dsq(name="longitude"), make_dsq(name="earth_mask")]) np.testing.assert_allclose(ds["solar_zenith_angle"].data, sza_data) np.testing.assert_allclose(ds["satellite_azimuth_angle"].data, vaa_data) np.testing.assert_allclose(ds["latitude"].data, lat_data) np.testing.assert_allclose(ds["longitude"].data, lon_data) np.testing.assert_allclose(ds["earth_mask"].data, mas_data)