Source code for satpy.tests.reader_tests.test_amsr2_l2_gaasp

#!/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.
#
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"""Tests for the 'amsr2_l2_gaasp' reader."""

import os
from datetime import datetime
from unittest import mock

import dask.array as da
import numpy as np
import pytest
import xarray as xr

MBT_FILENAME = "AMSR2-MBT_v2r2_GW1_s202008120558310_e202008120607010_c202008120637340.nc"
PRECIP_FILENAME = "AMSR2-PRECIP_v2r2_GW1_s202008120558310_e202008120607010_c202008120637340.nc"
OCEAN_FILENAME = "AMSR2-OCEAN_v2r2_GW1_s202008120558310_e202008120607010_c202008120637340.nc"
SEAICE_NH_FILENAME = "AMSR2-SEAICE-NH_v2r2_GW1_s202008120558310_e202008120607010_c202008120637340.nc"
SEAICE_SH_FILENAME = "AMSR2-SEAICE-SH_v2r2_GW1_s202008120558310_e202008120607010_c202008120637340.nc"
SNOW_FILENAME = "AMSR2-SNOW_v2r2_GW1_s202008120558310_e202008120607010_c202008120637340.nc"
SOIL_FILENAME = "AMSR2-SOIL_v2r2_GW1_s202008120558310_e202008120607010_c202008120637340.nc"

EXAMPLE_FILENAMES = [
    MBT_FILENAME,
    PRECIP_FILENAME,
    OCEAN_FILENAME,
    SEAICE_NH_FILENAME,
    SEAICE_SH_FILENAME,
    SNOW_FILENAME,
    SOIL_FILENAME,
]


[docs] def _get_shared_global_attrs(filename): attrs = { "time_coverage_start": "2020-08-12T05:58:31.0Z", "time_coverage_end": "2020-08-12T06:07:01.0Z", "platform_name": "GCOM-W1", "instrument_name": "AMSR2", } return attrs
[docs] def _create_two_res_gaasp_dataset(filename): """Represent files with two resolution of variables in them (ex. OCEAN).""" lon_var_hi = xr.DataArray(da.zeros((10, 10), dtype=np.float32), dims=("Number_of_Scans", "Number_of_hi_rez_FOVs"), attrs={"standard_name": "longitude"}) lat_var_hi = xr.DataArray(da.zeros((10, 10), dtype=np.float32), dims=("Number_of_Scans", "Number_of_hi_rez_FOVs"), attrs={"standard_name": "latitude"}) lon_var_lo = xr.DataArray(da.zeros((10, 10), dtype=np.float32), dims=("Number_of_Scans", "Number_of_low_rez_FOVs"), attrs={"standard_name": "longitude"}) lat_var_lo = xr.DataArray(da.zeros((10, 10), dtype=np.float32), dims=("Number_of_Scans", "Number_of_low_rez_FOVs"), attrs={"standard_name": "latitude"}) swath_var1 = xr.DataArray(da.zeros((10, 10), dtype=np.float32), dims=("Number_of_Scans", "Number_of_hi_rez_FOVs"), coords={"some_longitude_hi": lon_var_hi, "some_latitude_hi": lat_var_hi}, attrs={"_FillValue": -9999., "scale_factor": 0.5, "add_offset": 2.0}) swath_var2 = xr.DataArray(da.zeros((10, 10), dtype=np.float32), dims=("Number_of_Scans", "Number_of_low_rez_FOVs"), coords={"some_longitude_lo": lon_var_lo, "some_latitude_lo": lat_var_lo}, attrs={"_FillValue": -9999.}) swath_int_var = xr.DataArray(da.zeros((10, 10), dtype=np.uint16), dims=("Number_of_Scans", "Number_of_low_rez_FOVs"), attrs={"_FillValue": 100, "comment": "Some comment"}) not_xy_dim_var = xr.DataArray(da.zeros((10, 5), dtype=np.float32), dims=("Number_of_Scans", "Time_Dimension")) time_var = xr.DataArray(da.zeros((5,), dtype=np.float32), dims=("Time_Dimension",)) ds_vars = { "swath_var_hi": swath_var1, "swath_var_low": swath_var2, "swath_var_low_int": swath_int_var, "some_longitude_hi": lon_var_hi, "some_latitude_hi": lat_var_hi, "some_longitude_lo": lon_var_lo, "some_latitude_lo": lat_var_lo, "not_xy_dim_var": not_xy_dim_var, "time_var": time_var, } attrs = _get_shared_global_attrs(filename) ds = xr.Dataset(ds_vars, attrs=attrs) return ds
[docs] def _create_gridded_gaasp_dataset(filename): """Represent files with gridded products.""" grid_var = xr.DataArray(da.zeros((10, 10), dtype=np.float32), dims=("Number_of_Y_Dimension", "Number_of_X_Dimension"), attrs={ "_FillValue": -9999., "scale_factor": 0.5, "add_offset": 2.0 }) latency_var = xr.DataArray(da.zeros((10, 10), dtype=np.timedelta64), dims=("Number_of_Y_Dimension", "Number_of_X_Dimension"), attrs={ "_FillValue": -9999, }) time_var = xr.DataArray(da.zeros((5,), dtype=np.float32), dims=("Time_Dimension",)) ds_vars = { "grid_var": grid_var, "latency_var": latency_var, "time_var": time_var, } attrs = _get_shared_global_attrs(filename) return xr.Dataset(ds_vars, attrs=attrs)
[docs] def _create_one_res_gaasp_dataset(filename): """Represent files with one resolution of variables in them (ex. SOIL).""" lon_var_lo = xr.DataArray(da.zeros((10, 10), dtype=np.float32), dims=("Number_of_Scans", "Number_of_low_rez_FOVs"), attrs={"standard_name": "longitude"}) lat_var_lo = xr.DataArray(da.zeros((10, 10), dtype=np.float32), dims=("Number_of_Scans", "Number_of_low_rez_FOVs"), attrs={"standard_name": "latitude"}) swath_var2 = xr.DataArray(da.zeros((10, 10), dtype=np.float32), dims=("Number_of_Scans", "Number_of_low_rez_FOVs"), coords={"some_longitude_lo": lon_var_lo, "some_latitude_lo": lat_var_lo}, attrs={ "_FillValue": -9999., "scale_factor": 0.5, "add_offset": 2.0 }) swath_int_var = xr.DataArray(da.zeros((10, 10), dtype=np.uint16), dims=("Number_of_Scans", "Number_of_low_rez_FOVs"), attrs={"_FillValue": 100, "comment": "Some comment"}) time_var = xr.DataArray(da.zeros((5,), dtype=np.float32), dims=("Time_Dimension",)) ds_vars = { "swath_var": swath_var2, "swath_var_int": swath_int_var, "some_longitude_lo": lon_var_lo, "some_latitude_lo": lat_var_lo, "time_var": time_var, } attrs = _get_shared_global_attrs(filename) return xr.Dataset(ds_vars, attrs=attrs)
[docs] def fake_open_dataset(filename, **kwargs): """Create a Dataset similar to reading an actual file with xarray.open_dataset.""" if filename in [MBT_FILENAME, PRECIP_FILENAME, OCEAN_FILENAME]: return _create_two_res_gaasp_dataset(filename) if filename in [SEAICE_NH_FILENAME, SEAICE_SH_FILENAME]: return _create_gridded_gaasp_dataset(filename) return _create_one_res_gaasp_dataset(filename)
[docs] class TestGAASPReader: """Tests for the GAASP reader.""" yaml_file = "amsr2_l2_gaasp.yaml"
[docs] def setup_method(self): """Wrap pygrib to read fake data.""" from satpy._config import config_search_paths self.reader_configs = config_search_paths(os.path.join("readers", self.yaml_file))
[docs] @pytest.mark.parametrize( ("filenames", "expected_loadables"), [ (EXAMPLE_FILENAMES, 7), ([MBT_FILENAME], 1), ([PRECIP_FILENAME], 1), ([OCEAN_FILENAME], 1), ([SEAICE_NH_FILENAME], 1), ([SEAICE_SH_FILENAME], 1), ([SNOW_FILENAME], 1), ([SOIL_FILENAME], 1), ] ) def test_reader_creation(self, filenames, expected_loadables): """Test basic initialization.""" from satpy.readers import load_reader with mock.patch("satpy.readers.amsr2_l2_gaasp.xr.open_dataset") as od: od.side_effect = fake_open_dataset r = load_reader(self.reader_configs) loadables = r.select_files_from_pathnames(filenames) assert len(loadables) == expected_loadables r.create_filehandlers(loadables) # make sure we have some files assert r.file_handlers
[docs] @pytest.mark.parametrize( ("filenames", "expected_datasets"), [ (EXAMPLE_FILENAMES, ["swath_var_hi", "swath_var_low", "swath_var_low_int", "swath_var", "swath_var_int", "grid_var_NH", "grid_var_SH", "latency_var_NH", "latency_var_SH"]), ([MBT_FILENAME], ["swath_var_hi", "swath_var_low", "swath_var_low_int"]), ([PRECIP_FILENAME], ["swath_var_hi", "swath_var_low", "swath_var_low_int"]), ([OCEAN_FILENAME], ["swath_var_hi", "swath_var_low", "swath_var_low_int"]), ([SEAICE_NH_FILENAME], ["grid_var_NH", "latency_var_NH"]), ([SEAICE_SH_FILENAME], ["grid_var_SH", "latency_var_SH"]), ([SNOW_FILENAME], ["swath_var", "swath_var_int"]), ([SOIL_FILENAME], ["swath_var", "swath_var_int"]), ]) def test_available_datasets(self, filenames, expected_datasets): """Test that variables are dynamically discovered.""" from satpy.readers import load_reader with mock.patch("satpy.readers.amsr2_l2_gaasp.xr.open_dataset") as od: od.side_effect = fake_open_dataset r = load_reader(self.reader_configs) loadables = r.select_files_from_pathnames(filenames) r.create_filehandlers(loadables) avails = list(r.available_dataset_names) for var_name in expected_datasets: assert var_name in avails assert "not_xy_dim_var" not in expected_datasets
[docs] @staticmethod def _check_area(data_id, data_arr): from pyresample.geometry import AreaDefinition, SwathDefinition area = data_arr.attrs["area"] if "grid_var" in data_id["name"] or "latency_var" in data_id["name"]: assert isinstance(area, AreaDefinition) else: assert isinstance(area, SwathDefinition)
[docs] @staticmethod def _check_fill(data_id, data_arr): if "int" in data_id["name"]: assert data_arr.attrs["_FillValue"] == 100 assert np.issubdtype(data_arr.dtype, np.integer) else: assert "_FillValue" not in data_arr.attrs if np.issubdtype(data_arr.dtype, np.floating): # we started with float32, it should stay that way assert data_arr.dtype.type == np.float32
[docs] @staticmethod def _check_attrs(data_arr): attrs = data_arr.attrs assert "scale_factor" not in attrs assert "add_offset" not in attrs assert attrs["platform_name"] == "GCOM-W1" assert attrs["sensor"] == "amsr2" assert attrs["start_time"] == datetime(2020, 8, 12, 5, 58, 31) assert attrs["end_time"] == datetime(2020, 8, 12, 6, 7, 1)
[docs] @pytest.mark.parametrize( ("filenames", "loadable_ids"), [ (EXAMPLE_FILENAMES, ["swath_var_hi", "swath_var_low", "swath_var_low_int", "swath_var", "swath_var_int", "grid_var_NH", "grid_var_SH", "latency_var_NH", "latency_var_SH"]), ([MBT_FILENAME], ["swath_var_hi", "swath_var_low", "swath_var_low_int"]), ([PRECIP_FILENAME], ["swath_var_hi", "swath_var_low", "swath_var_low_int"]), ([OCEAN_FILENAME], ["swath_var_hi", "swath_var_low", "swath_var_low_int"]), ([SEAICE_NH_FILENAME], ["grid_var_NH", "latency_var_NH"]), ([SEAICE_SH_FILENAME], ["grid_var_SH", "latency_var_SH"]), ([SNOW_FILENAME], ["swath_var", "swath_var_int"]), ([SOIL_FILENAME], ["swath_var", "swath_var_int"]), ]) def test_basic_load(self, filenames, loadable_ids): """Test that variables are loaded properly.""" from satpy.readers import load_reader with mock.patch("satpy.readers.amsr2_l2_gaasp.xr.open_dataset") as od: od.side_effect = fake_open_dataset r = load_reader(self.reader_configs) loadables = r.select_files_from_pathnames(filenames) r.create_filehandlers(loadables) loaded_data_arrs = r.load(loadable_ids) assert loaded_data_arrs for data_id, data_arr in loaded_data_arrs.items(): self._check_area(data_id, data_arr) self._check_fill(data_id, data_arr) self._check_attrs(data_arr)