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# Copyright (c) 2015,2016,2017 MetPy Developers.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""Test the `gini` module."""
from datetime import datetime
import logging
import numpy as np
from numpy.testing import assert_almost_equal
import pytest
import xarray as xr
from metpy.cbook import get_test_data
from metpy.io import GiniFile
from metpy.io.gini import GiniProjection
logging.getLogger('metpy.io.gini').setLevel(logging.ERROR)
# Reference contents of the named tuples from each file
make_pdb = GiniFile.prod_desc_fmt.make_tuple
make_pdb2 = GiniFile.prod_desc2_fmt.make_tuple
raw_gini_info = [('WEST-CONUS_4km_WV_20151208_2200.gini',
make_pdb(source=1, creating_entity='GOES-15', sector_id='West CONUS',
channel='WV (6.5/6.7 micron)', num_records=1280, record_len=1100,
datetime=datetime(2015, 12, 8, 22, 0, 19),
projection=GiniProjection.lambert_conformal, nx=1100, ny=1280,
la1=12.19, lo1=-133.4588),
make_pdb2(scanning_mode=[False, False, False], lat_in=25.0, resolution=4,
compression=0, version=1, pdb_size=512, nav_cal=0),
GiniFile.lc_ps_fmt.make_tuple(reserved=0, lov=-95.0, dx=4.0635, dy=4.0635,
proj_center=0)),
('AK-REGIONAL_8km_3.9_20160408_1445.gini',
make_pdb(source=1, creating_entity='GOES-15', sector_id='Alaska Regional',
channel='IR (3.9 micron)', num_records=408, record_len=576,
datetime=datetime(2016, 4, 8, 14, 45, 20),
projection=GiniProjection.polar_stereographic, nx=576, ny=408,
la1=42.0846, lo1=-175.641),
make_pdb2(scanning_mode=[False, False, False], lat_in=0.0, resolution=8,
compression=0, version=1, pdb_size=512, nav_cal=0),
GiniFile.lc_ps_fmt.make_tuple(reserved=0, lov=210.0, dx=7.9375, dy=7.9375,
proj_center=0)),
('HI-REGIONAL_4km_3.9_20160616_1715.gini',
make_pdb(source=1, creating_entity='GOES-15', sector_id='Hawaii Regional',
channel='IR (3.9 micron)', num_records=520, record_len=560,
datetime=datetime(2016, 6, 16, 17, 15, 18),
projection=GiniProjection.mercator, nx=560, ny=520,
la1=9.343, lo1=-167.315),
make_pdb2(scanning_mode=[False, False, False], lat_in=20.0, resolution=4,
compression=0, version=1, pdb_size=512, nav_cal=0),
GiniFile.mercator_fmt.make_tuple(resolution=0, la2=28.0922, lo2=-145.878,
di=0, dj=0))
]
@pytest.mark.parametrize('filename,pdb,pdb2,proj_info', raw_gini_info,
ids=['LCC', 'Stereographic', 'Mercator'])
def test_raw_gini(filename, pdb, pdb2, proj_info):
"""Test raw GINI parsing."""
f = GiniFile(get_test_data(filename))
assert f.prod_desc == pdb
assert f.prod_desc2 == pdb2
assert f.proj_info == proj_info
assert f.data.shape == (pdb.num_records, pdb.record_len)
def test_gini_bad_size():
"""Test reading a GINI file that reports a bad header size."""
f = GiniFile(get_test_data('NHEM-MULTICOMP_1km_IR_20151208_2100.gini'))
pdb2 = f.prod_desc2
assert pdb2.pdb_size == 512 # Catching bad size
# Reference information coming out of the dataset interface, coordinate calculations,
# inclusion of correct projection metadata, etc.
gini_dataset_info = [('WEST-CONUS_4km_WV_20151208_2200.gini',
(-4226066.37649, 239720.12351, -832700.70519, 4364515.79481), 'WV',
{'grid_mapping_name': 'lambert_conformal_conic',
'standard_parallel': 25.0, 'earth_radius': 6371200.,
'latitude_of_projection_origin': 25.0,
'longitude_of_central_meridian': -95.0}, (150, 150, 184),
datetime(2015, 12, 8, 22, 0, 19)),
('AK-REGIONAL_8km_3.9_20160408_1445.gini',
(-2286001.13195, 2278061.36805, -4762503.5992, -1531941.0992), 'IR',
{'grid_mapping_name': 'polar_stereographic', 'standard_parallel': 60.0,
'earth_radius': 6371200., 'latitude_of_projection_origin': 90.,
'straight_vertical_longitude_from_pole': 210.0}, (150, 150, 143),
datetime(2016, 4, 8, 14, 45, 20)),
('HI-REGIONAL_4km_3.9_20160616_1715.gini',
(0.0, 2236000.0, 980627.44738, 3056627.44738), 'IR',
{'grid_mapping_name': 'mercator', 'standard_parallel': 20.0,
'earth_radius': 6371200., 'latitude_of_projection_origin': 9.343,
'longitude_of_projection_origin': -167.315}, (150, 150, 111),
datetime(2016, 6, 16, 17, 15, 18))
]
@pytest.mark.parametrize('filename,bounds,data_var,proj_attrs,image,dt', gini_dataset_info,
ids=['LCC', 'Stereographic', 'Mercator'])
def test_gini_xarray(filename, bounds, data_var, proj_attrs, image, dt):
"""Test that GINIFile can be passed to XArray as a datastore."""
f = GiniFile(get_test_data(filename))
ds = xr.open_dataset(f)
# Check our calculated x and y arrays
x0, x1, y0, y1 = bounds
x = ds.variables['x']
assert_almost_equal(x[0], x0, 4)
assert_almost_equal(x[-1], x1, 4)
# Because the actual data raster has the top row first, the maximum y value is y[0],
# while the minimum y value is y[-1]
y = ds.variables['y']
assert_almost_equal(y[-1], y0, 4)
assert_almost_equal(y[0], y1, 4)
# Check the projection metadata
proj_name = ds.variables[data_var].attrs['grid_mapping']
proj_var = ds.variables[proj_name]
for attr, val in proj_attrs.items():
assert proj_var.attrs[attr] == val, 'Values mismatch for ' + attr
# Check the lower left lon/lat corner
assert_almost_equal(ds.variables['lon'][-1, 0], f.prod_desc.lo1, 4)
assert_almost_equal(ds.variables['lat'][-1, 0], f.prod_desc.la1, 4)
# Check a pixel of the image to make sure we're decoding correctly
x_ind, y_ind, val = image
assert val == ds.variables[data_var][x_ind, y_ind]
# Check time decoding
assert np.asarray(dt, dtype='datetime64[ms]') == ds.variables['time']
@pytest.mark.parametrize('filename,bounds,data_var,proj_attrs,image,dt', gini_dataset_info,
ids=['LCC', 'Stereographic', 'Mercator'])
@pytest.mark.parametrize('specify_engine', [True, False], ids=['engine', 'no engine'])
def test_gini_xarray_entrypoint(filename, bounds, data_var, proj_attrs, image, dt,
specify_engine):
"""Test that GINI files can be opened directly by xarray using the v2 API."""
ds = xr.open_dataset(get_test_data(filename, as_file_obj=specify_engine),
**({'engine': 'gini'} if specify_engine else {}))
# Check our calculated x and y arrays
x0, x1, y0, y1 = bounds
x = ds.variables['x']
assert_almost_equal(x[0], x0, 4)
assert_almost_equal(x[-1], x1, 4)
# Because the actual data raster has the top row first, the maximum y value is y[0],
# while the minimum y value is y[-1]
y = ds.variables['y']
assert_almost_equal(y[-1], y0, 4)
assert_almost_equal(y[0], y1, 4)
# Check the projection metadata
proj_name = ds.variables[data_var].attrs['grid_mapping']
proj_var = ds.variables[proj_name]
for attr, val in proj_attrs.items():
assert proj_var.attrs[attr] == val, 'Values mismatch for ' + attr
# Check a pixel of the image to make sure we're decoding correctly
x_ind, y_ind, val = image
assert val == ds.variables[data_var][x_ind, y_ind]
# Check time decoding
assert 'time' in ds.coords
assert np.asarray(dt, dtype='datetime64[ms]') == ds.variables['time']
def test_gini_mercator_upper_corner():
"""Test that the upper corner of the Mercator coordinates is correct."""
f = GiniFile(get_test_data('HI-REGIONAL_4km_3.9_20160616_1715.gini'))
ds = xr.open_dataset(f)
lat = ds.variables['lat']
lon = ds.variables['lon']
# 2nd corner lat/lon are at the "upper right" corner of the pixel, so need to add one
# more grid point
assert_almost_equal(lon[0, -1] + (lon[0, -1] - lon[0, -2]), f.proj_info.lo2, 4)
assert_almost_equal(lat[0, -1] + (lat[0, -1] - lat[1, -1]), f.proj_info.la2, 4)
def test_gini_str():
"""Test the str representation of GiniFile."""
f = GiniFile(get_test_data('WEST-CONUS_4km_WV_20151208_2200.gini'))
truth = ('GiniFile: GOES-15 West CONUS WV (6.5/6.7 micron)\n'
'\tTime: 2015-12-08 22:00:19\n\tSize: 1280x1100\n'
'\tProjection: lambert_conformal\n'
'\tLower Left Corner (Lon, Lat): (-133.4588, 12.19)\n\tResolution: 4km')
assert str(f) == truth
def test_gini_pathlib():
"""Test that GiniFile works with `pathlib.Path` instances."""
from pathlib import Path
src = Path(get_test_data('WEST-CONUS_4km_WV_20151208_2200.gini', as_file_obj=False))
f = GiniFile(src)
assert f.prod_desc.sector_id == 'West CONUS'
def test_unidata_composite():
"""Test reading radar composites in GINI format made by Unidata."""
f = GiniFile(get_test_data('Level3_Composite_dhr_1km_20180309_2225.gini'))
# Check the time stamp
assert datetime(2018, 3, 9, 22, 25) == f.prod_desc.datetime
# Check data value
assert f.data[2160, 2130] == 66
def test_percent_normal():
"""Test reading PCT products properly."""
f = GiniFile(get_test_data('PR-NATIONAL_1km_PCT_20200320_0446.gini'))
assert f.prod_desc.channel == 'Percent Normal TPW'
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