def test_timeseries_profile_single_station(self):
'''
Ensures timeseries profile single station detection works
'''
with Dataset(resources.STATIC_FILES['timeseries-profile-single-station']) as nc:
for variable in util.get_geophysical_variables(nc):
assert util.is_timeseries_profile_single_station(nc, variable), "{} is timeseries-profile-single-station".format(variable)
def check_dimensions(self, dataset):
'''
Checks that the feature types of this dataset are consistent with a timeseries-profile-orthogonal dataset.
:param netCDF4.Dataset dataset: An open netCDF dataset
'''
results = []
required_ctx = TestCtx(
BaseCheck.HIGH,
'All geophysical variables are timeseries-profile-orthogonal feature types'
)
message = '{} must be a valid profile-orthogonal feature type. It must have dimensions of (station, time, z).'
message += ' If it\'s a single station, it must have dimensions (time, z). x and y dimensions must be scalar or have'
message += ' dimensions (station). time must be a coordinate variable with dimension (time) and z must be a'
message += ' coordinate variabel with dimension (z).'
for variable in util.get_geophysical_variables(dataset):
is_valid = util.is_timeseries_profile_single_station(
dataset, variable)
is_valid = is_valid or util.is_timeseries_profile_multi_station(
dataset, variable)
required_ctx.assert_true(is_valid, message.format(variable))
results.append(required_ctx.to_result())
return results
def check_dimensions(self, dataset):
'''
Checks that the feature types of this dataset are consistent with a timeseries-profile-orthogonal dataset.
:param netCDF4.Dataset dataset: An open netCDF dataset
'''
results = []
required_ctx = TestCtx(BaseCheck.HIGH, 'All geophysical variables are timeseries-profile-orthogonal feature types')
message = '{} must be a valid profile-orthogonal feature type. It must have dimensions of (station, time, z).'
message += ' If it\'s a single station, it must have dimensions (time, z). x and y dimensions must be scalar or have'
message += ' dimensions (station). time must be a coordinate variable with dimension (time) and z must be a'
message += ' coordinate variabel with dimension (z).'
for variable in util.get_geophysical_variables(dataset):
is_valid = util.is_timeseries_profile_single_station(dataset, variable)
is_valid = is_valid or util.is_timeseries_profile_multi_station(dataset, variable)
required_ctx.assert_true(
is_valid,
message.format(variable)
)
results.append(required_ctx.to_result())
return results
