Source code for satpy.tests.compositor_tests.test_agri

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2018-2022 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
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"""Tests for AGRI compositors."""

import unittest

[docs] class TestAGRIComposites(unittest.TestCase): """Test AGRI-specific composites."""
[docs] def test_load_composite_yaml(self): """Test loading the yaml for this sensor.""" from satpy.composites.config_loader import load_compositor_configs_for_sensors load_compositor_configs_for_sensors(["agri"])
[docs] def test_simulated_red(self): """Test creating a fake 'red' band.""" import dask.array as da import numpy as np import xarray as xr from pyresample.geometry import AreaDefinition from satpy.composites.agri import SimulatedRed rows = 5 cols = 10 area = AreaDefinition( "test", "test", "test", {"proj": "eqc", "lon_0": 0.0, "lat_0": 0.0}, cols, rows, (-20037508.34, -10018754.17, 20037508.34, 10018754.17)) comp = SimulatedRed("red", prerequisites=("C01", "C02", "C03"), standard_name="toa_bidirectional_reflectance") c01 = xr.DataArray(da.zeros((rows, cols), chunks=25) + 0.25, dims=("y", "x"), attrs={"name": "C01", "area": area}) c02 = xr.DataArray(da.zeros((rows, cols), chunks=25) + 0.30, dims=("y", "x"), attrs={"name": "C02", "area": area}) res = comp((c01, c02)) assert isinstance(res, xr.DataArray) assert isinstance(, da.Array) assert res.attrs["name"] == "red" assert res.attrs["standard_name"] == "toa_bidirectional_reflectance" data = res.compute() np.testing.assert_allclose(data, 0.24252874)