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73 changes: 73 additions & 0 deletions iris_grib/tests/integration/load_convert/test_data_section.py
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# Copyright iris-grib contributors
#
# This file is part of iris-grib and is released under the LGPL license.
# See COPYING and COPYING.LESSER in the root of the repository for full
# licensing details.
"""
Integration tests to confirm data is loaded correctly.

"""

# import iris_grib.tests first so that some things can be initialised
# before importing anything else.
import iris_grib.tests as tests

import numpy.ma as ma

from iris import load_cube


class TestImport(tests.IrisGribTest):
def test_gdt1(self):
path = tests.get_data_path(
("GRIB", "rotated_nae_t", "sensible_pole.grib2")
)
cube = load_cube(path)
self.assertCMLApproxData(cube)

def test_gdt90_with_bitmap(self):
path = tests.get_data_path(("GRIB", "umukv", "ukv_chan9.grib2"))
cube = load_cube(path)
# Pay particular attention to the orientation.
self.assertIsNot(cube.data[0, 0], ma.masked)
self.assertIs(cube.data[-1, 0], ma.masked)
self.assertIs(cube.data[0, -1], ma.masked)
self.assertIs(cube.data[-1, -1], ma.masked)
x = cube.coord("projection_x_coordinate").points
y = cube.coord("projection_y_coordinate").points
self.assertGreater(x[0], x[-1]) # Decreasing X coordinate
self.assertLess(y[0], y[-1]) # Increasing Y coordinate
# Check everything else.
self.assertCMLApproxData(cube)


class TestGDT30(tests.IrisGribTest):
def test_lambert(self):
path = tests.get_data_path(("GRIB", "lambert", "lambert.grib2"))
cube = load_cube(path)
self.assertCMLApproxData(cube)


class TestGDT40(tests.IrisGribTest):
def test_regular(self):
path = tests.get_data_path(("GRIB", "gaussian", "regular_gg.grib2"))
cube = load_cube(path)
self.assertCMLApproxData(cube)

def test_reduced(self):
path = tests.get_data_path(("GRIB", "reduced", "reduced_gg.grib2"))
cube = load_cube(path)
self.assertCMLApproxData(cube)


class TestDRT3(tests.IrisGribTest):
def test_grid_complex_spatial_differencing(self):
path = tests.get_data_path(
("GRIB", "missing_values", "missing_values.grib2")
)
cube = load_cube(path)
self.assertCMLApproxData(cube)


if __name__ == '__main__':
tests.main()
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# Copyright iris-grib contributors
#
# This file is part of iris-grib and is released under the LGPL license.
# See COPYING and COPYING.LESSER in the root of the repository for full
# licensing details.
"""
Integration tests for loading various production definitions.

"""

# Import iris_grib.tests first so that some things can be initialised before
# importing anything else.
import iris_grib.tests as tests


from iris import load_cube


class TestPDT8(tests.IrisGribTest):
def setUp(self):
# Load from the test file.
file_path = tests.get_data_path(
("GRIB", "time_processed", "time_bound.grib2")
)
self.cube = load_cube(file_path)

def test_coords(self):
# Check the result has main coordinates as expected.
for name, shape, is_bounded in [
("forecast_reference_time", (1,), False),
("time", (1,), True),
("forecast_period", (1,), True),
("pressure", (1,), False),
("latitude", (73,), False),
("longitude", (96,), False),
]:
coords = self.cube.coords(name)
self.assertEqual(
len(coords),
1,
"expected one {!r} coord, found {}".format(name, len(coords)),
)
(coord,) = coords
self.assertEqual(
coord.shape,
shape,
"coord {!r} shape is {} instead of {!r}.".format(
name, coord.shape, shape
),
)
self.assertEqual(
coord.has_bounds(),
is_bounded,
"coord {!r} has_bounds={}, expected {}.".format(
name, coord.has_bounds(), is_bounded
),
)

def test_cell_method(self):
# Check the result has the expected cell method.
cell_methods = self.cube.cell_methods
self.assertEqual(
len(cell_methods),
1,
"result has {} cell methods, expected one.".format(
len(cell_methods)
),
)
(cell_method,) = cell_methods
self.assertEqual(cell_method.coord_names, ("time",))


if __name__ == "__main__":
tests.main()
140 changes: 140 additions & 0 deletions iris_grib/tests/integration/round_trip/test_grid_definition_section.py
Original file line number Diff line number Diff line change
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# Copyright iris-grib contributors
#
# This file is part of iris-grib and is released under the LGPL license.
# See COPYING and COPYING.LESSER in the root of the repository for full
# licensing details.
"""
Integration test for round-trip loading and saving of various grids.

"""

# import iris_grib.tests first so that some things can be initialised
# before importing anything else.
import iris_grib.tests as tests

from iris import load_cube, save
from iris.coord_systems import RotatedGeogCS
from iris.fileformats.pp import EARTH_RADIUS as UM_DEFAULT_EARTH_RADIUS
from iris.util import is_regular

from iris.tests import TestGribMessage

from iris_grib.grib_phenom_translation import GRIBCode


class TestGDT5(TestGribMessage):
def test_save_load(self):
# Load sample UKV data (variable-resolution rotated grid).
path = tests.get_data_path(("PP", "ukV1", "ukVpmslont.pp"))
cube = load_cube(path)

# Extract a single 2D field, for simplicity.
self.assertEqual(cube.ndim, 3)
self.assertEqual(cube.coord_dims("time"), (0,))
cube = cube[0]

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This cube loads in with a shape of (928, 744).

6 years ago, eccodes had a bug such that it could only save square data. Thus, in Iris this tests square off the data before saving it (see here). I have removed that as the bug has been fixed (many years ago!)

# Check that it has a rotated-pole variable-spaced grid, as expected.
x_coord = cube.coord(axis="x")
self.assertIsInstance(x_coord.coord_system, RotatedGeogCS)
self.assertFalse(is_regular(x_coord))

# Write to temporary file, check that key contents are in the file,
# then load back in.
with self.temp_filename("ukv_sample.grib2") as temp_file_path:
save(cube, temp_file_path)

# Check that various aspects of the saved file are as expected.
expect_values = (
(0, "editionNumber", 2),
(3, "gridDefinitionTemplateNumber", 5),
(3, "Ni", cube.shape[-1]),
(3, "Nj", cube.shape[-2]),
(3, "shapeOfTheEarth", 1),
(
3,
"scaledValueOfRadiusOfSphericalEarth",
int(UM_DEFAULT_EARTH_RADIUS),
),
(3, "resolutionAndComponentFlags", 0),
(3, "latitudeOfSouthernPole", -37500000),
(3, "longitudeOfSouthernPole", 357500000),
(3, "angleOfRotation", 0),
)
self.assertGribMessageContents(temp_file_path, expect_values)

# Load the Grib file back into a new cube.
cube_loaded_from_saved = load_cube(temp_file_path)
# Also load data, before the temporary file gets deleted.
cube_loaded_from_saved.data

# The re-loaded result will not match the original in every respect:
# * cube attributes are discarded
# * horizontal coordinates are rounded to an integer representation
# * bounds on horizontal coords are lost
# Thus the following "equivalence tests" are rather piecemeal..

# Check those re-loaded properties which should match the original.
for test_cube in (cube, cube_loaded_from_saved):
self.assertEqual(
test_cube.standard_name, "air_pressure_at_sea_level"
)
self.assertEqual(test_cube.units, "Pa")
self.assertEqual(test_cube.shape, (928, 744))
self.assertEqual(test_cube.cell_methods, ())

# Check only the GRIB_PARAM attribute exists on the re-loaded cube.
# Note: this does *not* match the original, but is as expected.
self.assertEqual(
cube_loaded_from_saved.attributes,
{"GRIB_PARAM": GRIBCode("GRIB2:d000c003n001")},
)

# Now remaining to check: coordinates + data...

# Check they have all the same coordinates.
co_names = [coord.name() for coord in cube.coords()]
co_names_reload = [
coord.name() for coord in cube_loaded_from_saved.coords()
]
self.assertEqual(sorted(co_names_reload), sorted(co_names))

# Check all the coordinates.
for coord_name in co_names:
try:
co_orig = cube.coord(coord_name)
co_load = cube_loaded_from_saved.coord(coord_name)

# Check shape.
self.assertEqual(
co_load.shape,
co_orig.shape,
'Shape of re-loaded "{}" coord is {} '
"instead of {}".format(
coord_name, co_load.shape, co_orig.shape
),
)

# Check coordinate points equal, within a tolerance.
self.assertArrayAllClose(
co_load.points, co_orig.points, rtol=1.0e-6
)

# Check all coords are unbounded.
# (NOTE: this is not so for the original X and Y coordinates,
# but Grib does not store those bounds).
self.assertIsNone(co_load.bounds)

except AssertionError as err:
self.assertTrue(
False,
'Failed on coordinate "{}" : {}'.format(
coord_name, str(err)
),
)

# Check that main data array also matches.
self.assertArrayAllClose(cube.data, cube_loaded_from_saved.data)


if __name__ == "__main__":
tests.main()
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# Copyright iris-grib contributors
#
# This file is part of iris-grib and is released under the LGPL license.
# See COPYING and COPYING.LESSER in the root of the repository for full
# licensing details.
"""
Integration tests for round-trip loading and saving various product
definitions.

"""

# Import iris_grib.tests first so that some things can be initialised before
# importing anything else.
import iris_grib.tests as tests

from cf_units import Unit
from iris import load_cube, save
import iris.coords
import iris.coord_systems

from iris.tests import TestGribMessage
import iris.tests.stock as stock

from iris_grib.grib_phenom_translation import GRIBCode


class TestPDT11(TestGribMessage):
def test_perturbation(self):
path = tests.get_data_path(
("NetCDF", "global", "xyt", "SMALL_hires_wind_u_for_ipcc4.nc")
)
cube = load_cube(path)
# trim to 1 time and regular lats
cube = cube[0, 12:144, :]
crs = iris.coord_systems.GeogCS(6371229)
cube.coord("latitude").coord_system = crs
cube.coord("longitude").coord_system = crs
# add a realization coordinate
cube.add_aux_coord(
iris.coords.DimCoord(
points=1, standard_name="realization", units="1"
)
)
with self.temp_filename("testPDT11.GRIB2") as temp_file_path:
iris.save(cube, temp_file_path)

# Check that various aspects of the saved file are as expected.
expect_values = (
(0, "editionNumber", 2),
(3, "gridDefinitionTemplateNumber", 0),
(4, "productDefinitionTemplateNumber", 11),
(4, "perturbationNumber", 1),
(4, "typeOfStatisticalProcessing", 0),
(4, "numberOfForecastsInEnsemble", 255),
)
self.assertGribMessageContents(temp_file_path, expect_values)


class TestPDT40(tests.IrisTest):
def test_save_load(self):
cube = stock.lat_lon_cube()
cube.rename("atmosphere_mole_content_of_ozone")
cube.units = Unit("Dobson")
tcoord = iris.coords.DimCoord(
23, "time", units=Unit("days since epoch", calendar="standard")
)
fpcoord = iris.coords.DimCoord(24, "forecast_period",
units=Unit("hours"))
cube.add_aux_coord(tcoord)
cube.add_aux_coord(fpcoord)
cube.attributes["WMO_constituent_type"] = 0
cube.attributes["GRIB_PARAM"] = GRIBCode("GRIB2:d000c014n000")

with self.temp_filename("test_grib_pdt40.grib2") as temp_file_path:
save(cube, temp_file_path)
loaded = load_cube(temp_file_path)
self.assertEqual(loaded.attributes, cube.attributes)


if __name__ == "__main__":
tests.main()
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