def test_from_dict(self):
d = dict(standard_name='lwe_thickness_of_precipitation_amount')
urn = IoosUrn.from_dict('axiom', 'foo', d)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount'
d = dict(standard_name='lwe_thickness_of_precipitation_amount',
vertical_datum='NAVD88')
urn = IoosUrn.from_dict('axiom', 'foo', d)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#vertical_datum=navd88'
d = dict(standard_name='lwe_thickness_of_precipitation_amount',
vertical_datum='NAVD88',
discriminant='2')
urn = IoosUrn.from_dict('axiom', 'foo', d)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount:2#vertical_datum=navd88'
d = dict(standard_name='lwe_thickness_of_precipitation_amount',
cell_methods='time: sum (interval: PT24H) time: mean')
urn = IoosUrn.from_dict('axiom', 'foo', d)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean,time:sum;interval=pt24h'
# Interval as a dict key (not inline with cell_methods)
d = dict(standard_name='lwe_thickness_of_precipitation_amount',
cell_methods='time: sum time: mean',
interval='pt24h')
urn = IoosUrn.from_dict('axiom', 'foo', d)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean,time:sum;interval=pt24h'
d = dict(standard_name='lwe_thickness_of_precipitation_amount',
cell_methods='time: minimum within years time: mean over years')
urn = IoosUrn.from_dict('axiom', 'foo', d)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean_over_years,time:minimum_within_years'
d = dict(standard_name='lwe_thickness_of_precipitation_amount',
cell_methods='time: variance (interval: PT1H comment: sampled instantaneously)')
urn = IoosUrn.from_dict('axiom', 'foo', d)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:variance;interval=pt1h'
d = dict(standard_name='lwe_thickness_of_precipitation_amount',
cell_methods='time: variance time: mean (interval: PT1H comment: sampled instantaneously)')
urn = IoosUrn.from_dict('axiom', 'foo', d)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean,time:variance;interval=pt1h'
# Interval specified twice
d = dict(standard_name='lwe_thickness_of_precipitation_amount',
cell_methods='time: variance time: mean (interval: PT1H comment: sampled instantaneously)',
interval='PT1H')
urn = IoosUrn.from_dict('axiom', 'foo', d)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean,time:variance;interval=pt1h'
# Interval specified twice
d = dict(standard_name='lwe_thickness_of_precipitation_amount',
cell_methods='time: variance time: mean (interval: PT1H comment: sampled instantaneously)',
interval='PT1H',
discriminant='2')
urn = IoosUrn.from_dict('axiom', 'foo', d)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount:2#cell_methods=time:mean,time:variance;interval=pt1h'
def test_from_bad_string(self):
u = IoosUrn.from_string('urn:ioos:sensor:whatami')
assert u.urn is None
u = IoosUrn.from_string('urn:ioos:nothinghere')
assert u.urn is None
u = IoosUrn.from_string('urn:totesbroken')
assert u.urn is None
def test_messy_urn(self):
u = IoosUrn.from_string('urn:ioos:sensor:myauthority:mylabel:standard_name#key=key1:value1,key2:value2;some_other_key=some_other_value')
assert u.asset_type == 'sensor'
assert u.authority == 'myauthority'
assert u.label == 'mylabel'
assert u.component == 'standard_name'
assert u.fragment == 'key=key1:value1,key2:value2;some_other_key=some_other_value'
assert u.discriminant is None
def test_cdiac_urn_with_discrim(self):
u = IoosUrn.from_string('urn:ioos:sensor:gov.ornl.cdiac:cheeca_80w_25n:sea_water_temperature:somediscrim#key=key1:value1,key2:value2;some_other_key=some_other_value')
assert u.asset_type == 'sensor'
assert u.authority == 'gov.ornl.cdiac'
assert u.label == 'cheeca_80w_25n'
assert u.component == 'sea_water_temperature'
assert u.fragment == 'key=key1:value1,key2:value2;some_other_key=some_other_value'
assert u.discriminant == 'somediscrim'
def test_cdiac_urn(self):
u = IoosUrn.from_string('urn:ioos:sensor:gov.ornl.cdiac:cheeca_80w_25n:sea_water_temperature')
assert u.asset_type == 'sensor'
assert u.authority == 'gov.ornl.cdiac'
assert u.label == 'cheeca_80w_25n'
assert u.component == 'sea_water_temperature'
assert u.fragment is None
assert u.discriminant is None
def test_from_string(self):
u = IoosUrn.from_string('urn:ioos:sensor:myauthority:mylabel')
assert u.asset_type == 'sensor'
assert u.authority == 'myauthority'
assert u.label == 'mylabel'
assert u.discriminant is None
u = IoosUrn.from_string('urn:ioos:sensor:myauthority:mylabel:mycomponent')
assert u.asset_type == 'sensor'
assert u.authority == 'myauthority'
assert u.label == 'mylabel'
assert u.component == 'mycomponent'
assert u.discriminant is None
u = IoosUrn.from_string('urn:ioos:sensor:myauthority:mylabel:mycomponent:mydiscriminant')
assert u.asset_type == 'sensor'
assert u.authority == 'myauthority'
assert u.label == 'mylabel'
assert u.component == 'mycomponent'
assert u.discriminant == 'mydiscriminant'
def test_change_sensor_to_station(self):
u = IoosUrn.from_string('urn:ioos:sensor:myauthority:mylabel:mycomponent')
assert u.asset_type == 'sensor'
assert u.authority == 'myauthority'
assert u.label == 'mylabel'
assert u.component == 'mycomponent'
assert u.fragment is None
assert u.discriminant is None
u.asset_type = 'station'
u.component = None
assert u.urn == 'urn:ioos:station:myauthority:mylabel'
def test_from_variable(self):
with netCDF4.Dataset(
os.path.join(
os.path.dirname(__file__),
'resources',
'test_urn_from_variable.nc'
)
) as nc:
urn = IoosUrn.from_dict('axiom', 'foo', nc.variables['temperature'].__dict__)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#vertical_datum=navd88'
urn = IoosUrn.from_dict('axiom', 'foo', nc.variables['temperature2'].__dict__)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:variance;interval=pt1h'
urn = IoosUrn.from_dict('axiom', 'foo', nc.variables['temperature3'].__dict__)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean,time:variance;interval=pt1h'
urn = IoosUrn.from_dict('axiom', 'foo', nc.variables['temperature4'].__dict__)
assert urn.urn == 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount:2#cell_methods=time:mean,time:variance;interval=pt1h'
def test_setattr(self):
u = IoosUrn()
u.asset_type = 'sensor'
u.authority = 'me'
u.label = 'mysupersensor'
assert u.urn == 'urn:ioos:sensor:me:mysupersensor'
u.discriminant = 'abc'
assert u.urn == 'urn:ioos:sensor:me:mysupersensor:abc'
u.component = 'temp'
assert u.urn == 'urn:ioos:sensor:me:mysupersensor:temp:abc'
def test_from_long_string(self):
u = IoosUrn.from_string('urn:ioos:sensor:whatami:wow:i:have:lots:of:things')
assert u.urn == 'urn:ioos:sensor:whatami:wow:i:have'
def test_no_label(self):
u = IoosUrn(asset_type='station', authority='me')
assert u.urn is None
def test_station_cant_have_component(self):
u = IoosUrn(asset_type='station', component='something')
assert u.urn is None
def test_constructor_with_bad_data(self):
u = IoosUrn(notanattribute='foo')
assert u.urn is None
def test_constructor_no_data(self):
u = IoosUrn()
assert u.urn is None
def test_dict_from_urn(self):
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean,time:variance;interval=pt1h'
d = IoosUrn.from_string(urn).attributes()
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['cell_methods'] == 'time: mean time: variance (interval: PT1H)'
assert 'interval' not in d
assert 'discriminant' not in d
assert 'vertical_datum' not in d
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean,time:variance;interval=pt1h'
d = IoosUrn.from_string(urn).attributes(combine_interval=False)
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['cell_methods'] == 'time: mean time: variance'
assert d['interval'] == 'PT1H'
assert 'discriminant' not in d
assert 'vertical_datum' not in d
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean,time:variance;interval=pt1h,pt6h'
d = IoosUrn.from_string(urn).attributes()
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['cell_methods'] == 'time: mean (interval: PT1H) time: variance (interval: PT6H)'
assert 'interval' not in d
assert 'discriminant' not in d
assert 'vertical_datum' not in d
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean,time:variance;interval=pt1h,pt6h'
d = IoosUrn.from_string(urn).attributes(combine_interval=False)
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['cell_methods'] == 'time: mean time: variance'
assert d['interval'] == 'PT1H,PT6H'
assert 'discriminant' not in d
assert 'vertical_datum' not in d
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:variance;interval=pt1h'
d = IoosUrn.from_string(urn).attributes()
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['cell_methods'] == 'time: variance (interval: PT1H)'
assert 'interval' not in d
assert 'discriminant' not in d
assert 'vertical_datum' not in d
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:variance;interval=pt1h'
d = IoosUrn.from_string(urn).attributes(combine_interval=False)
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['cell_methods'] == 'time: variance'
assert d['interval'] == 'PT1H'
assert 'discriminant' not in d
assert 'vertical_datum' not in d
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#cell_methods=time:mean_over_years,time:minimum_within_years'
d = IoosUrn.from_string(urn).attributes()
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['cell_methods'] == 'time: mean over years time: minimum within years'
assert 'interval' not in d
assert 'discriminant' not in d
assert 'vertical_datum' not in d
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount#vertical_datum=navd88'
d = IoosUrn.from_string(urn).attributes()
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['vertical_datum'] == 'NAVD88'
assert 'interval' not in d
assert 'cell_methods' not in d
assert 'discriminant' not in d
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount'
d = IoosUrn.from_string(urn).attributes()
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert 'interval' not in d
assert 'cell_methods' not in d
assert 'discriminant' not in d
assert 'vertical_datum' not in d
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount:2'
d = IoosUrn.from_string(urn).attributes()
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['discriminant'] == '2'
assert 'interval' not in d
assert 'cell_methods' not in d
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount:2#cell_methods=time:mean_over_years,time:minimum_within_years;vertical_datum=navd88'
d = IoosUrn.from_string(urn).attributes()
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['cell_methods'] == 'time: mean over years time: minimum within years'
assert d['discriminant'] == '2'
assert d['vertical_datum'] == 'NAVD88'
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount:2#cell_methods=time:mean_over_years,time:minimum_within_years;interval=pt1h;vertical_datum=navd88'
d = IoosUrn.from_string(urn).attributes()
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['cell_methods'] == 'time: mean over years time: minimum within years (interval: PT1H)'
assert d['discriminant'] == '2'
assert 'interval' not in d
assert d['vertical_datum'] == 'NAVD88'
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount:2#cell_methods=time:mean_over_years,time:minimum_within_years;interval=pt1h;vertical_datum=navd88'
d = IoosUrn.from_string(urn).attributes(combine_interval=False)
assert d['standard_name'] == 'lwe_thickness_of_precipitation_amount'
assert d['cell_methods'] == 'time: mean over years time: minimum within years'
assert d['discriminant'] == '2'
assert d['interval'] == 'PT1H'
assert d['vertical_datum'] == 'NAVD88'
urn = 'urn:ioos:sensor:axiom:foo:lwe_thickness_of_precipitation_amount:2#interval=pt2h'
# Cant have an interval without a cell_method
with self.assertRaises(ValueError):
d = IoosUrn.from_string(urn).attributes()
def test_args(self):
u = IoosUrn(asset_type='sensor', authority='me', label='mysupersensor')
assert u.urn == 'urn:ioos:sensor:me:mysupersensor'
