| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # 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() |