Source code for satpy.tests.reader_tests.test_geocat

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 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
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# A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
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# 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.geocat module."""

import os
import unittest
from unittest import mock

import numpy as np

from satpy.tests.reader_tests.test_netcdf_utils import FakeNetCDF4FileHandler
from satpy.tests.utils import convert_file_content_to_data_array

DEFAULT_FILE_DTYPE = np.uint16
DEFAULT_FILE_SHAPE = (10, 300)
DEFAULT_FILE_DATA = np.arange(DEFAULT_FILE_SHAPE[0] * DEFAULT_FILE_SHAPE[1],
                              dtype=DEFAULT_FILE_DTYPE).reshape(DEFAULT_FILE_SHAPE)
DEFAULT_FILE_FACTORS = np.array([2.0, 1.0], dtype=np.float32)
DEFAULT_LAT_DATA = np.linspace(45, 65, DEFAULT_FILE_SHAPE[1]).astype(DEFAULT_FILE_DTYPE)
DEFAULT_LAT_DATA = np.repeat([DEFAULT_LAT_DATA], DEFAULT_FILE_SHAPE[0], axis=0)
DEFAULT_LON_DATA = np.linspace(5, 45, DEFAULT_FILE_SHAPE[1]).astype(DEFAULT_FILE_DTYPE)
DEFAULT_LON_DATA = np.repeat([DEFAULT_LON_DATA], DEFAULT_FILE_SHAPE[0], axis=0)


[docs] class FakeNetCDF4FileHandler2(FakeNetCDF4FileHandler): """Swap-in NetCDF4 File Handler."""
[docs] def get_test_content(self, filename, filename_info, filetype_info): """Mimic reader input file content.""" file_content = { "/attr/Platform_Name": filename_info["platform_shortname"], "/attr/Element_Resolution": 2., "/attr/Line_Resolution": 2., "/attr/Subsatellite_Longitude": -70.2 if "GOES" in filename_info["platform_shortname"] else 140.65, "pixel_longitude": DEFAULT_LON_DATA, "pixel_longitude/attr/scale_factor": 1., "pixel_longitude/attr/add_offset": 0., "pixel_longitude/shape": DEFAULT_FILE_SHAPE, "pixel_longitude/attr/_FillValue": np.nan, "pixel_latitude": DEFAULT_LAT_DATA, "pixel_latitude/attr/scale_factor": 1., "pixel_latitude/attr/add_offset": 0., "pixel_latitude/shape": DEFAULT_FILE_SHAPE, "pixel_latitude/attr/_FillValue": np.nan, } sensor = { "HIMAWARI-8": "himawari8", "GOES-17": "goesr", "GOES-16": "goesr", "GOES-13": "goes", "GOES-14": "goes", "GOES-15": "goes", }[filename_info["platform_shortname"]] file_content["/attr/Sensor_Name"] = sensor if filename_info["platform_shortname"] == "HIMAWARI-8": file_content["pixel_longitude"] = DEFAULT_LON_DATA + 130. file_content["variable1"] = DEFAULT_FILE_DATA.astype(np.float32) file_content["variable1/attr/_FillValue"] = -1 file_content["variable1/attr/scale_factor"] = 1. file_content["variable1/attr/add_offset"] = 0. file_content["variable1/attr/units"] = "1" file_content["variable1/shape"] = DEFAULT_FILE_SHAPE # data with fill values file_content["variable2"] = np.ma.masked_array( DEFAULT_FILE_DATA.astype(np.float32), mask=np.zeros_like(DEFAULT_FILE_DATA)) file_content["variable2"].mask[::5, ::5] = True file_content["variable2/attr/_FillValue"] = -1 file_content["variable2/attr/scale_factor"] = 1. file_content["variable2/attr/add_offset"] = 0. file_content["variable2/attr/units"] = "1" file_content["variable2/shape"] = DEFAULT_FILE_SHAPE # category file_content["variable3"] = DEFAULT_FILE_DATA.astype(np.byte) file_content["variable3/attr/_FillValue"] = -128 file_content["variable3/attr/flag_meanings"] = "clear water supercooled mixed ice unknown" file_content["variable3/attr/flag_values"] = [0, 1, 2, 3, 4, 5] file_content["variable3/attr/units"] = "1" file_content["variable3/shape"] = DEFAULT_FILE_SHAPE attrs = ("_FillValue", "flag_meanings", "flag_values", "units") convert_file_content_to_data_array( file_content, attrs=attrs, dims=("z", "lines", "elements")) return file_content
[docs] class TestGEOCATReader(unittest.TestCase): """Test GEOCAT Reader.""" yaml_file = "geocat.yaml"
[docs] def setUp(self): """Wrap NetCDF4 file handler with our own fake handler.""" from satpy._config import config_search_paths from satpy.readers.geocat import GEOCATFileHandler self.reader_configs = config_search_paths(os.path.join("readers", self.yaml_file)) # http://stackoverflow.com/questions/12219967/how-to-mock-a-base-class-with-python-mock-library self.p = mock.patch.object(GEOCATFileHandler, "__bases__", (FakeNetCDF4FileHandler2,)) self.fake_handler = self.p.start() self.p.is_local = True
[docs] def tearDown(self): """Stop wrapping the NetCDF4 file handler.""" self.p.stop()
[docs] def test_init(self): """Test basic init with no extra parameters.""" from satpy.readers import load_reader r = load_reader(self.reader_configs) loadables = r.select_files_from_pathnames([ "geocatL2.GOES-13.2015143.234500.nc", ]) assert len(loadables) == 1 r.create_filehandlers(loadables) # make sure we have some files assert r.file_handlers
[docs] def test_init_with_kwargs(self): """Test basic init with extra parameters.""" from satpy.readers import load_reader r = load_reader(self.reader_configs, xarray_kwargs={"decode_times": True}) loadables = r.select_files_from_pathnames([ "geocatL2.GOES-13.2015143.234500.nc", ]) assert len(loadables) == 1 r.create_filehandlers(loadables, fh_kwargs={"xarray_kwargs": {"decode_times": True}}) # make sure we have some files assert r.file_handlers
[docs] def test_load_all_old_goes(self): """Test loading all test datasets from old GOES files.""" import xarray as xr from satpy.readers import load_reader r = load_reader(self.reader_configs) with mock.patch("satpy.readers.geocat.netCDF4.Variable", xr.DataArray): loadables = r.select_files_from_pathnames([ "geocatL2.GOES-13.2015143.234500.nc", ]) r.create_filehandlers(loadables) datasets = r.load(["variable1", "variable2", "variable3"]) assert len(datasets) == 3 for v in datasets.values(): assert "calibration" not in v.attrs assert v.attrs["units"] == "1" assert datasets["variable3"].attrs.get("flag_meanings") is not None
[docs] def test_load_all_himawari8(self): """Test loading all test datasets from H8 NetCDF file.""" import xarray as xr from pyresample.geometry import AreaDefinition from satpy.readers import load_reader r = load_reader(self.reader_configs) with mock.patch("satpy.readers.geocat.netCDF4.Variable", xr.DataArray): loadables = r.select_files_from_pathnames([ "geocatL2.HIMAWARI-8.2017092.210730.R304.R20.nc", ]) r.create_filehandlers(loadables) datasets = r.load(["variable1", "variable2", "variable3"]) assert len(datasets) == 3 for v in datasets.values(): assert "calibration" not in v.attrs assert v.attrs["units"] == "1" assert datasets["variable3"].attrs.get("flag_meanings") is not None assert isinstance(datasets["variable1"].attrs["area"], AreaDefinition)
[docs] def test_load_all_goes17_hdf4(self): """Test loading all test datasets from GOES-17 HDF4 file.""" import xarray as xr from pyresample.geometry import AreaDefinition from satpy.readers import load_reader r = load_reader(self.reader_configs) with mock.patch("satpy.readers.geocat.netCDF4.Variable", xr.DataArray): loadables = r.select_files_from_pathnames([ "geocatL2.GOES-17.CONUS.2020041.163130.hdf", ]) r.create_filehandlers(loadables) datasets = r.load(["variable1", "variable2", "variable3"]) assert len(datasets) == 3 for v in datasets.values(): assert "calibration" not in v.attrs assert v.attrs["units"] == "1" assert datasets["variable3"].attrs.get("flag_meanings") is not None assert isinstance(datasets["variable1"].attrs["area"], AreaDefinition)