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# to you under the Apache License, Version 2.0 (the
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#
# http://www.apache.org/licenses/LICENSE-2.0
#
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# under the License.
import unittest
import datetime as dt
import ocw.data_source.dap as dap
from ocw.dataset import Dataset
class TestDap(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.url = 'http://test.opendap.org/opendap/data/ncml/agg/dated/'\
'CG2006158_120000h_usfc.nc'
cls.name = 'foo'
'''
The following exception handling should be removed once the opendap servers
are working fine. The following code was added to fix the build temporarily
More information - https://github.com/apache/climate/pull/419
'''
try :
cls.dataset = dap.load(cls.url, 'CGusfc', name=cls.name)
# The tests will be skipped if any exception is raised
except Exception as e:
raise unittest.SkipTest(e)
'''
# The tests fail for this dataset since the dataset does not have a time(1D) variable.
# The tests fail because dap.py assumes that the openDAP datasets necessarily have the
# three variables 1D variables lat, lon and time and the lines 53,54 and 55 are written
# on the same assumption.
cls.url2 = 'http://opendap-uat.jpl.nasa.gov/opendap/GeodeticsGravity/'\
'tellus/L3/mascon/RL05/JPL/CRI/netcdf/CLM4.SCALE_FACTOR.JPL.MSCNv01CRIv01.nc'
cls.name2 = 'foo2'
cls.dataset2 = dap.load(cls.url2, 'scale_factor', name=cls.name)'''
def test_dataset_is_returned(self):
self.assertTrue(isinstance(self.dataset, Dataset))
def test_correct_lat_shape(self):
self.assertEquals(len(self.dataset.lats), 29)
def test_correct_lon_shape(self):
self.assertEquals(len(self.dataset.lons), 26)
def test_correct_time_shape(self):
self.assertEquals(len(self.dataset.times), 1)
def test_valid_date_conversion(self):
start = dt.datetime(2006, 6, 7, 12)
self.assertTrue(start == self.dataset.times[0])
def test_custom_dataset_name(self):
self.assertEquals(self.dataset.name, self.name)
def test_dataset_origin(self):
self.assertEquals(self.dataset.origin['source'], 'dap')
self.assertEquals(self.dataset.origin['url'], self.url)
if __name__ == '__main__':
unittest.main()