def test_coordinates_valid_times_given_toa_brightness_temperature(tmpdir):
path = str(tmpdir / "test-navigate-eida50.nc")
times = [dt.datetime(2019, 1, 1)]
with netCDF4.Dataset(path, "w") as dataset:
_eida50(dataset, times)
coord = eida50.Coordinates()
result = coord.valid_times(path, "toa_brightness_temperature")
expect = times
assert expect == result
def test_valid_times_given_eida50_toa_brightness_temperature(self):
times = [dt.datetime(2019, 1, 1)]
with netCDF4.Dataset(self.path, "w") as dataset:
writer = Formatter(dataset)
writer.define(times)
coord = eida50.Coordinates()
result = coord.valid_times(self.path, "toa_brightness_temperature")
expect = times
self.assertEqual(expect, result)
def file_type(cls, paths, file_type):
if file_type.lower() == "rdt":
coordinates = rdt.Coordinates()
elif file_type.lower() == "eida50":
coordinates = eida50.Coordinates()
elif file_type.lower() == 'griddedforecast':
# XXX This needs a "Group" object ... not "paths"
return gridded_forecast.Navigator(paths)
elif file_type.lower() == "unified_model":
coordinates = unified_model.Coordinates()
else:
raise Exception("Unrecognised file type: '{}'".format(file_type))
return cls(paths, coordinates)
def from_file_type(cls, paths, file_type):
if file_type.lower() == "rdt":
coordinates = rdt.Coordinates()
elif file_type.lower() == "eida50":
coordinates = eida50.Coordinates()
elif file_type.lower() == 'griddedforecast':
# XXX This needs a "Group" object ... not "paths"
return gridded_forecast.Navigator(paths)
elif file_type.lower() == 'intake':
return intake_loader.Navigator()
elif file_type.lower() == 'ghrsstl4':
return ghrsstl4.Navigator(paths)
elif file_type.lower() == "unified_model":
coordinates = unified_model.Coordinates()
elif file_type.lower() == "saf":
coordinates = saf.Coordinates()
elif file_type.lower() == "earth_networks":
coordinates = earth_networks.Coordinates()
else:
raise Exception("Unrecognised file type: '{}'".format(file_type))
return cls(paths, coordinates)