"sffraction3h:SFFraction:sffraction tpdec3h_2021_1_10_0_0_0+3.grib,snowdec3h_2021_1_10_0_0_0+3.grib"
" sffraction3h_2021_1_10_0_0_0+3.grib"] +
# Snow preprocessing
self.get_snow_preprocessing_log() +
# Snow decumulation
["snowdec3h:Decumulate:vg6d_transform --comp-frac-valid=0 '--comp-step=0 03'"
" --comp-stat-proc=1 --comp-full-steps - snowdec3h-decumulated.grib"]
)
self.assertRenders(orders[0], step=3)
self.assertMgribArgsEqual(
orders[0], cosmo={'grib_automatic_scaling': False}, ifs={'grib_automatic_scaling': False})
def get_snow_preprocessing_log(self) -> List[str]:
if self.model_name == "ifs":
return [f"snow:Or:ifs_sf_2021_1_10_0_0_0+{step}.grib as snow_2021_1_10_0_0_0+{step}.grib"
for step in range(3, 13, 3)]
else:
return (
["snowsum:VG6DTransform:vg6d_transform --output-variable-list=B13205 -"
f" snowsum_2021_1_10_0_0_0+{step}.grib" for step in range(0, 13)] +
[f"snow:Or:snowsum_2021_1_10_0_0_0+{step}.grib as snow_2021_1_10_0_0_0+{step}.grib"
for step in range(0, 13)]
)
add_recipe_test_cases(__name__, "tiles/sffraction3h")
class RHW700Mixin:
def test_dispatch(self):
self.maxDiff = None
pantry_reftime = "2021_1_10_0_0_0"
self.fill_pantry(expected=[
f'{self.model_name}_q700_{pantry_reftime}+12.grib',
f'{self.model_name}_t700_{pantry_reftime}+12.grib'
])
orders = self.make_orders()
self.assertEqual(len(orders), 1)
self.assertProcessLogEqual([
f'uv700:Cat:cat {self.model_name}_u700_2021_1_10_0_0_0+12.grib,'
f'{self.model_name}_v700_2021_1_10_0_0_0+12.grib'
' uv700_2021_1_10_0_0_0+12.grib',
'p700:VG6DTransform:vg6d_transform --comp-var-from-lev --trans-level-type=100 -'
' p700_2021_1_10_0_0_0+12.grib',
'rh700:VG6DTransform:vg6d_transform --output-variable-list=B13003 -'
' rh700_2021_1_10_0_0_0+12.grib',
])
self.assertRenders(orders[0])
self.assertMgribArgsEqual(orders[0], cosmo={}, ifs={})
add_recipe_test_cases(__name__, "standalone/rhw700")
# from __future__ import annotations
from arkimapslib.unittest import add_recipe_test_cases
class T2MAVGMixin:
def test_dispatch(self):
self.fill_pantry()
orders = self.make_orders()
self.assertEqual(len(orders), 1)
self.assertProcessLogEqual([
"t2mavg:Average:vg6d_transform --comp-frac-valid=0 '--comp-step=0 24'"
" --comp-stat-proc=254:0 - t2mavg-decumulated.grib",
])
self.assertRenders(orders[0], step=24)
self.assertMgribArgsEqual(orders[0],
cosmo={
'grib_automatic_scaling': False,
'grib_scaling_offset': -273.15,
},
ifs={
'grib_automatic_scaling': False,
'grib_scaling_offset': -273.15,
})
add_recipe_test_cases(__name__, "t2mavg")
# from __future__ import annotations
from arkimapslib.unittest import add_recipe_test_cases
class TCCMixin:
def test_dispatch(self):
self.fill_pantry()
orders = self.make_orders()
self.assertEqual(len(orders), 1)
self.assertRenders(orders[0])
self.assertMgribArgsEqual(
orders[0],
cosmo={
'grib_automatic_scaling': False,
'grib_scaling_factor': 0.08
},
ifs={
'grib_automatic_scaling': False,
'grib_scaling_factor': 8
},
)
add_recipe_test_cases(__name__, "tcc")
# from __future__ import annotations
from arkimapslib.unittest import add_recipe_test_cases
class LCCMixin:
def test_dispatch(self):
self.fill_pantry()
orders = self.make_orders()
self.assertEqual(len(orders), 1)
self.assertRenders(orders[0])
self.assertMgribArgsEqual(
orders[0],
cosmo={
'grib_automatic_scaling': False,
'grib_scaling_factor': 0.08
},
ifs={
'grib_automatic_scaling': False,
'grib_scaling_factor': 8
},
)
add_recipe_test_cases(__name__, "tiles/lcc")
litota3 = self.kitchen.pantry.inputs.get("litota3")
for i in litota3:
self.assertEqual(i.__class__.__name__, "Source")
sottozone_allerta_er = self.kitchen.pantry.inputs.get(
"sottozoneAllertaER")
for i in sottozone_allerta_er:
self.assertEqual(i.__class__.__name__, "Shape")
punti_citta = self.kitchen.pantry.inputs.get("puntiCitta")
for i in punti_citta:
self.assertEqual(i.__class__.__name__, "Static")
orders = self.make_orders()
self.assertEqual(len(orders), 1)
input_files = orders[0].input_files
self.assertEqual(os.path.basename(input_files["litota3"].pathname),
"litota3_2021_3_4_0_0_0+12.grib")
self.assertEqual(
os.path.basename(input_files["sottozoneAllertaER"].pathname),
"Sottozone_allerta_ER")
self.assertEqual(os.path.basename(input_files["puntiCitta"].pathname),
"puntiCitta.geo")
self.assertRenders(orders[0], reftime=datetime.datetime(2021, 3, 4))
self.assertMgribArgsEqual(orders[0], cosmo={}, ifs={})
add_recipe_test_cases(__name__, "litota3")
add_recipe_test_cases(__name__, "litota3", test_mixin=LITOTA3NordMixin)
# from __future__ import annotations
from arkimapslib.unittest import add_recipe_test_cases
class WFLAGS10MMixin:
def test_dispatch(self):
self.fill_pantry()
orders = self.make_orders()
self.assertEqual(len(orders), 1)
self.assertRenders(orders[0])
self.assertMgribArgsEqual(orders[0], cosmo={}, ifs={})
add_recipe_test_cases(__name__, "tiles/wflags10m")
# that test
if self.model_name == "ifs":
raise unittest.SkipTest("tp1h tests for IFS skipped, see code for reason")
pantry_reftime = "2021_1_10_0_0_0"
self.fill_pantry(expected=[f"{self.model_name}_tp_{pantry_reftime}+{step}.grib" for step in range(0, 13)])
# Check that the right input was selected
tpdec1h = self.kitchen.pantry.inputs.get("tpdec1h")
for i in tpdec1h:
self.assertEqual(i.__class__.__name__, "Decumulate")
orders = self.make_orders()
# Preprocessing means we cannot reduce test input to only get one
# order, so we get orders from every step from 0 to 12. We filter
# later to keep only +12h to test
if self.model_name == "ifs":
self.assertEqual(len(orders), 0)
return
else:
self.assertGreaterEqual(len(orders), 12)
orders = [o for o in orders if o.basename == "tp1h+012"]
self.assertEqual(len(orders), 1)
self.assertRenders(orders[0])
self.assertMgribArgsEqual(orders[0], cosmo={}, ifs={})
add_recipe_test_cases(__name__, "tiles/tp1h")
# from __future__ import annotations
from arkimapslib.unittest import add_recipe_test_cases
class CP3HMixin:
def test_dispatch(self):
pantry_reftime = "2021_1_10_0_0_0"
self.fill_pantry(expected=[f"{self.model_name}_cp_{pantry_reftime}+{step}.grib" for step in range(3, 13, 3)])
# Check that the right input was selected
cpdec3h = self.kitchen.pantry.inputs.get("cpdec3h")
for i in cpdec3h:
self.assertEqual(i.__class__.__name__, "Decumulate")
orders = self.make_orders()
self.assertGreaterEqual(len(orders), 4)
orders = [o for o in orders if o.basename == "cp3h+012"]
self.assertEqual(len(orders), 1)
self.assertRenders(orders[0])
self.assertMgribArgsEqual(orders[0], cosmo={}, ifs={})
add_recipe_test_cases(__name__, "cp3h")
# from __future__ import annotations
from arkimapslib.unittest import add_recipe_test_cases
class MSLPMixin:
def test_dispatch(self):
self.fill_pantry()
orders = self.make_orders()
self.assertEqual(len(orders), 1)
self.assertRenders(orders[0])
self.assertMgribArgsEqual(
orders[0],
cosmo={
'grib_automatic_scaling': False,
'grib_scaling_factor': 0.01
},
ifs={
'grib_automatic_scaling': False,
'grib_scaling_factor': 0.01
},
)
add_recipe_test_cases(__name__, "mslp")
])
self.assertRenders(orders[0])
self.assertMgribArgsEqual(orders[0], cosmo={}, ifs={})
class RH2MERG5Mixin:
def test_dispatch(self):
self.fill_pantry(step=0)
# Check that the right input was selected
cpdec3h = self.kitchen.pantry.inputs.get("rh2m")
for i in cpdec3h:
if i.model == "erg5":
self.assertEqual(i.__class__.__name__, "Source")
else:
self.assertEqual(i.__class__.__name__, "VG6DTransform")
orders = self.make_orders()
self.assertEqual(len(orders), 1)
self.assertEqual(self.kitchen.pantry.process_log, [])
self.assertRenders(orders[0], step=0)
self.assertMgribArgsEqual(orders[0], erg5={})
add_recipe_test_cases(__name__, "rh2m", models=("IFS", "Cosmo", "ERG5"))
self.maxDiff = None
pantry_reftime = "2021_1_10_0_0_0"
self.fill_pantry(expected=[
f"{self.model_name}_sf_{pantry_reftime}+{step}.grib"
for step in range(3, 13, 3)
])
orders = self.make_orders()
self.assertGreaterEqual(len(orders), 4)
orders = [o for o in orders if o.basename == "sf3h+012"]
self.assertEqual(len(orders), 1)
self.assertProcessLogEqual([
f"snow:Or:ifs_sf_2021_1_10_0_0_0+{step}.grib as snow_2021_1_10_0_0_0+{step}.grib"
for step in range(3, 13, 3)
] + [
"snowdec3h:Decumulate:vg6d_transform --comp-frac-valid=0 '--comp-step=0 03'"
" --comp-stat-proc=1 --comp-full-steps - snowdec3h-decumulated.grib"
])
self.assertRenders(orders[0])
self.assertMgribArgsEqual(orders[0], cosmo={}, ifs={})
add_recipe_test_cases(__name__, "sf3h")
add_recipe_test_cases(__name__,
"sf3h",
models=["Cosmo"],
test_mixin=SF3HNoConvMixin)