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Merge pull request #1392 from joleenf/iss1371
Remove 1-D lat/lon variables from mimic reader's available datasets
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#!/usr/bin/env python | ||
# -*- coding: utf-8 -*- | ||
# | ||
# Copyright (c) 2019 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/>. | ||
"""Module for testing the satpy.readers.tropomi_l2 module.""" | ||
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import os | ||
import unittest | ||
import itertools | ||
from unittest import mock | ||
from datetime import datetime | ||
import numpy as np | ||
from satpy.tests.reader_tests.test_netcdf_utils import FakeNetCDF4FileHandler | ||
import xarray as xr | ||
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DEFAULT_FILE_DTYPE = np.float32 | ||
DEFAULT_FILE_SHAPE = (721, 1440) | ||
DEFAULT_DATE = datetime(2019, 6, 19, 13, 0) | ||
DEFAULT_LAT = np.linspace(-90, 90, DEFAULT_FILE_SHAPE[0], dtype=DEFAULT_FILE_DTYPE) | ||
DEFAULT_LON = np.linspace(-180, 180, DEFAULT_FILE_SHAPE[1], dtype=DEFAULT_FILE_DTYPE) | ||
DEFAULT_FILE_FLOAT_DATA = np.arange(DEFAULT_FILE_SHAPE[0] * DEFAULT_FILE_SHAPE[1], | ||
dtype=DEFAULT_FILE_DTYPE) | ||
DEFAULT_FILE_DATE_DATA = np.clip(DEFAULT_FILE_FLOAT_DATA, 0, 1049) | ||
DEFAULT_FILE_UBYTE_DATA = np.arange(DEFAULT_FILE_SHAPE[0] * DEFAULT_FILE_SHAPE[1], | ||
dtype=np.ubyte) | ||
float_variables = ['tpwGrid', 'tpwGridPrior', 'tpwGridSubseq', 'footGridPrior', 'footGridSubseq'] | ||
date_variables = ['timeAwayGridPrior', 'timeAwayGridSubseq'] | ||
ubyte_variables = ['satGridPrior', 'satGridSubseq'] | ||
file_content_attr = dict() | ||
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class FakeNetCDF4FileHandlerMimicLow(FakeNetCDF4FileHandler): | ||
"""Swap-in NetCDF4 File Handler.""" | ||
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def get_test_content(self, filename, filename_info, filetype_info): | ||
"""Mimic reader input file content for lower resolution files.""" | ||
dt_s = filename_info.get('start_time', DEFAULT_DATE) | ||
dt_e = filename_info.get('end_time', DEFAULT_DATE) | ||
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if filetype_info['file_type'] == 'mimicTPW2_comp': | ||
file_content = { | ||
'/attr/start_time': dt_s.strftime('%Y%m%d.%H%M%S'), | ||
'/attr/end_time': dt_e.strftime('%Y%m%d.%H%M%S'), | ||
'/attr/platform_shortname': 'aggregated microwave', | ||
'/attr/sensor': 'mimic', | ||
} | ||
file_content['latArr'] = DEFAULT_LAT | ||
file_content['latArr/shape'] = (DEFAULT_FILE_SHAPE[0],) | ||
file_content['latArr/attr/units'] = 'degress_north' | ||
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file_content['lonArr'] = DEFAULT_LON | ||
file_content['lonArr/shape'] = (DEFAULT_FILE_SHAPE[1],) | ||
file_content['lonArr/attr/units'] = 'degrees_east' | ||
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file_content['/dimension/lat'] = DEFAULT_FILE_SHAPE[0] | ||
file_content['/dimension/lon'] = DEFAULT_FILE_SHAPE[1] | ||
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for float_var in float_variables: | ||
file_content[float_var] = DEFAULT_FILE_FLOAT_DATA.reshape(DEFAULT_FILE_SHAPE) | ||
file_content['{}/shape'.format(float_var)] = DEFAULT_FILE_SHAPE | ||
file_content_attr[float_var] = {"units": "mm"} | ||
for date_var in date_variables: | ||
file_content[date_var] = DEFAULT_FILE_DATE_DATA.reshape(DEFAULT_FILE_SHAPE) | ||
file_content['{}/shape'.format(date_var)] = DEFAULT_FILE_SHAPE | ||
file_content_attr[date_var] = {"units": "minutes"} | ||
for ubyte_var in ubyte_variables: | ||
file_content[ubyte_var] = DEFAULT_FILE_UBYTE_DATA.reshape(DEFAULT_FILE_SHAPE) | ||
file_content['{}/shape'.format(ubyte_var)] = DEFAULT_FILE_SHAPE | ||
file_content_attr[ubyte_var] = {"source_key": "Key: 0: None, 1: NOAA-N, 2: NOAA-P, 3: Metop-A, \ | ||
4: Metop-B, 5: SNPP, 6: SSMI-17, 7: SSMI-18"} | ||
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# convert to xarrays | ||
for key, val in file_content.items(): | ||
if key == 'lonArr' or key == 'latArr': | ||
file_content[key] = xr.DataArray(val) | ||
elif isinstance(val, np.ndarray): | ||
if val.ndim > 1: | ||
file_content[key] = xr.DataArray(val, dims=('y', 'x'), attrs=file_content_attr[key]) | ||
else: | ||
file_content[key] = xr.DataArray(val) | ||
for key in itertools.chain(float_variables, ubyte_variables): | ||
file_content[key].attrs['_FillValue'] = -999.0 | ||
file_content[key].attrs['name'] = key | ||
file_content[key].attrs['file_key'] = key | ||
file_content[key].attrs['file_type'] = self.filetype_info['file_type'] | ||
else: | ||
msg = 'Wrong Test Reader for file_type {}'.format(filetype_info['file_type']) | ||
raise AssertionError(msg) | ||
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return file_content | ||
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class TestMimicTPW2Reader(unittest.TestCase): | ||
"""Test Mimic Reader.""" | ||
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yaml_file = "mimicTPW2_comp.yaml" | ||
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def setUp(self): | ||
"""Wrap NetCDF4 file handler with our own fake handler.""" | ||
from satpy.config import config_search_paths | ||
from satpy.readers.mimic_TPW2_nc import MimicTPW2FileHandler | ||
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(MimicTPW2FileHandler, '__bases__', (FakeNetCDF4FileHandlerMimicLow,)) | ||
self.fake_handler = self.p.start() | ||
self.p.is_local = True | ||
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def tearDown(self): | ||
"""Stop wrapping the NetCDF4 file handler.""" | ||
self.p.stop() | ||
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def test_init(self): | ||
"""Test basic initialization of this reader.""" | ||
from satpy.readers import load_reader | ||
r = load_reader(self.reader_configs) | ||
loadables = r.select_files_from_pathnames([ | ||
'comp20190619.130000.nc', | ||
]) | ||
self.assertEqual(len(loadables), 1) | ||
r.create_filehandlers(loadables) | ||
# make sure we have some files | ||
self.assertTrue(r.file_handlers) | ||
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def test_load_mimic_float(self): | ||
"""Load TPW mimic float data.""" | ||
from satpy.readers import load_reader | ||
r = load_reader(self.reader_configs) | ||
with mock.patch('satpy.readers.mimic_TPW2_nc.netCDF4.Variable', xr.DataArray): | ||
loadables = r.select_files_from_pathnames([ | ||
'comp20190619.130000.nc', | ||
]) | ||
r.create_filehandlers(loadables) | ||
ds = r.load(float_variables) | ||
self.assertEqual(len(ds), len(float_variables)) | ||
for d in ds.values(): | ||
self.assertEqual(d.attrs['platform_shortname'], 'aggregated microwave') | ||
self.assertEqual(d.attrs['sensor'], 'mimic') | ||
self.assertEqual(d.attrs['units'], 'mm') | ||
self.assertIn('area', d.attrs) | ||
self.assertIsNotNone(d.attrs['area']) | ||
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def test_load_mimic_timedelta(self): | ||
"""Load TPW mimic timedelta data (data latency variables).""" | ||
from satpy.readers import load_reader | ||
r = load_reader(self.reader_configs) | ||
with mock.patch('satpy.readers.mimic_TPW2_nc.netCDF4.Variable', xr.DataArray): | ||
loadables = r.select_files_from_pathnames([ | ||
'comp20190619.130000.nc', | ||
]) | ||
r.create_filehandlers(loadables) | ||
ds = r.load(date_variables) | ||
self.assertEqual(len(ds), len(date_variables)) | ||
for d in ds.values(): | ||
self.assertEqual(d.attrs['platform_shortname'], 'aggregated microwave') | ||
self.assertEqual(d.attrs['sensor'], 'mimic') | ||
self.assertEqual(d.attrs['units'], 'minutes') | ||
self.assertIn('area', d.attrs) | ||
self.assertIsNotNone(d.attrs['area']) | ||
self.assertEqual(d.dtype, DEFAULT_FILE_DTYPE) | ||
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def test_load_mimic_ubyte(self): | ||
"""Load TPW mimic sensor grids.""" | ||
from satpy.readers import load_reader | ||
r = load_reader(self.reader_configs) | ||
with mock.patch('satpy.readers.mimic_TPW2_nc.netCDF4.Variable', xr.DataArray): | ||
loadables = r.select_files_from_pathnames([ | ||
'comp20190619.130000.nc', | ||
]) | ||
r.create_filehandlers(loadables) | ||
ds = r.load(ubyte_variables) | ||
self.assertEqual(len(ds), len(ubyte_variables)) | ||
for d in ds.values(): | ||
self.assertEqual(d.attrs['platform_shortname'], 'aggregated microwave') | ||
self.assertEqual(d.attrs['sensor'], 'mimic') | ||
self.assertIn('source_key', d.attrs) | ||
self.assertIn('area', d.attrs) | ||
self.assertIsNotNone(d.attrs['area']) | ||
self.assertEqual(d.dtype, np.uint8) |
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