#!/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
# satpy. If not, see <http://www.gnu.org/licenses/>.
"""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(res.data, 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)