Source code for satpy.tests.test_regressions

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2020 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/>.
"""Test fixed bugs."""


from unittest.mock import patch

import dask.array as da
import numpy as np
from xarray import DataArray, Dataset

from satpy.tests.utils import make_dataid

abi_file_list = ['/data/OR_ABI-L1b-RadF-M3C01_G16_s20180722030423_e20180722041189_c20180722041235-118900_0.nc',
                 '/data/OR_ABI-L1b-RadF-M3C02_G16_s20180722030423_e20180722041190_c20180722041228-120000_0.nc',
                 '/data/OR_ABI-L1b-RadF-M3C03_G16_s20180722030423_e20180722041190_c20180722041237-119000_0.nc',
                 '/data/OR_ABI-L1b-RadF-M3C04_G16_s20180722030423_e20180722041189_c20180722041221.nc',
                 '/data/OR_ABI-L1b-RadF-M3C05_G16_s20180722030423_e20180722041190_c20180722041237-119101_0.nc',
                 '/data/OR_ABI-L1b-RadF-M3C06_G16_s20180722030423_e20180722041195_c20180722041227.nc',
                 '/data/OR_ABI-L1b-RadF-M3C07_G16_s20180722030423_e20180722041201_c20180722041238.nc',
                 '/data/OR_ABI-L1b-RadF-M3C08_G16_s20180722030423_e20180722041190_c20180722041238.nc',
                 '/data/OR_ABI-L1b-RadF-M3C09_G16_s20180722030423_e20180722041195_c20180722041256.nc',
                 '/data/OR_ABI-L1b-RadF-M3C10_G16_s20180722030423_e20180722041201_c20180722041250.nc',
                 '/data/OR_ABI-L1b-RadF-M3C11_G16_s20180722030423_e20180722041189_c20180722041254.nc',
                 '/data/OR_ABI-L1b-RadF-M3C12_G16_s20180722030423_e20180722041195_c20180722041256.nc',
                 '/data/OR_ABI-L1b-RadF-M3C13_G16_s20180722030423_e20180722041201_c20180722041259.nc',
                 '/data/OR_ABI-L1b-RadF-M3C14_G16_s20180722030423_e20180722041190_c20180722041258.nc',
                 '/data/OR_ABI-L1b-RadF-M3C15_G16_s20180722030423_e20180722041195_c20180722041259.nc',
                 '/data/OR_ABI-L1b-RadF-M3C16_G16_s20180722030423_e20180722041202_c20180722041259.nc']


[docs] def generate_fake_abi_xr_dataset(filename, chunks=None, **kwargs): """Create a fake xarray dataset for abi data. This is an incomplete copy of existing file structures. """ dataset = Dataset(attrs={ 'time_coverage_start': '2018-03-13T20:30:42.3Z', 'time_coverage_end': '2018-03-13T20:41:18.9Z', }) projection = DataArray( [-214748364], attrs={ 'long_name': 'GOES-R ABI fixed grid projection', 'grid_mapping_name': 'geostationary', 'perspective_point_height': 35786023.0, 'semi_major_axis': 6378137.0, 'semi_minor_axis': 6356752.31414, 'inverse_flattening': 298.2572221, 'latitude_of_projection_origin': 0.0, 'longitude_of_projection_origin': -75.0, 'sweep_angle_axis': 'x' }) dataset['goes_imager_projection'] = projection if 'C01' in filename or 'C03' in filename or 'C05' in filename: stop = 10847 step = 2 scale = 2.8e-05 offset = 0.151858 elif 'C02' in filename: stop = 21693 step = 4 scale = 1.4e-05 offset = 0.151865 else: stop = 5424 step = 1 scale = 5.6e-05 offset = 0.151844 y = DataArray( da.arange(0, stop, step), attrs={ 'scale_factor': -scale, 'add_offset': offset, 'units': 'rad', 'axis': 'Y', 'long_name': 'GOES fixed grid projection y-coordinate', 'standard_name': 'projection_y_coordinate' }, dims=['y']) dataset['y'] = y x = DataArray( da.arange(0, stop, step), attrs={ 'scale_factor': scale, 'add_offset': -offset, 'units': 'rad', 'axis': 'X', 'long_name': 'GOES fixed grid projection x-coordinate', 'standard_name': 'projection_x_coordinate' }, dims=['x']) dataset['x'] = x rad = DataArray( da.random.randint(0, 1025, size=[len(y), len(x)], dtype=np.int16, chunks=chunks), attrs={ '_FillValue': np.array(1023), 'long_name': 'ABI L1b Radiances', 'standard_name': 'toa_outgoing_radiance_per_unit_wavelength', '_Unsigned': 'true', 'sensor_band_bit_depth': 10, 'valid_range': np.array([0, 1022], dtype=np.int16), 'scale_factor': 0.8121064, 'add_offset': -25.936647, 'units': 'W m-2 sr-1 um-1', 'resolution': 'y: 0.000028 rad x: 0.000028 rad', 'grid_mapping': 'goes_imager_projection', 'cell_methods': 't: point area: point' }, dims=['y', 'x'] ) dataset['Rad'] = rad sublat = DataArray(0.0, attrs={ 'long_name': 'nominal satellite subpoint latitude (platform latitude)', 'standard_name': 'latitude', '_FillValue': -999.0, 'units': 'degrees_north'}) dataset['nominal_satellite_subpoint_lat'] = sublat sublon = DataArray(-75.0, attrs={ 'long_name': 'nominal satellite subpoint longitude (platform longitude)', 'standard_name': 'longitude', '_FillValue': -999.0, 'units': 'degrees_east'}) dataset['nominal_satellite_subpoint_lon'] = sublon satheight = DataArray(35786.023, attrs={ 'long_name': 'nominal satellite height above GRS 80 ellipsoid (platform altitude)', 'standard_name': 'height_above_reference_ellipsoid', '_FillValue': -999.0, 'units': 'km'}) dataset['nominal_satellite_height'] = satheight yaw_flip_flag = DataArray(0, attrs={ 'long_name': 'Flag indicating the spacecraft is operating in yaw flip configuration', '_Unsigned': 'true', '_FillValue': np.array(-1), 'valid_range': np.array([0, 1], dtype=np.int8), 'units': '1', 'flag_values': '0 1', 'flag_meanings': 'false true'}) dataset['yaw_flip_flag'] = yaw_flip_flag return dataset
[docs] @patch('xarray.open_dataset') def test_1258(fake_open_dataset): """Save true_color from abi with radiance doesn't need two resamplings.""" from satpy import Scene fake_open_dataset.side_effect = generate_fake_abi_xr_dataset scene = Scene(abi_file_list, reader='abi_l1b') scene.load(['true_color_nocorr', 'C04'], calibration='radiance') resampled_scene = scene.resample(scene.coarsest_area(), resampler='native') assert len(resampled_scene.keys()) == 2
[docs] @patch('xarray.open_dataset') def test_1088(fake_open_dataset): """Check that copied arrays gets resampled.""" from satpy import Scene fake_open_dataset.side_effect = generate_fake_abi_xr_dataset scene = Scene(abi_file_list, reader='abi_l1b') scene.load(['C04'], calibration='radiance') my_id = make_dataid(name='my_name', wavelength=(10, 11, 12)) scene[my_id] = scene['C04'].copy() resampled = scene.resample('eurol') assert resampled[my_id].shape == (2048, 2560)
[docs] @patch('xarray.open_dataset') def test_no_enums(fake_open_dataset): """Check that no enums are inserted in the resulting attrs.""" from enum import Enum from satpy import Scene fake_open_dataset.side_effect = generate_fake_abi_xr_dataset scene = Scene(abi_file_list, reader='abi_l1b') scene.load(['C04'], calibration='radiance') for value in scene['C04'].attrs.values(): assert not isinstance(value, Enum)