def setup(self):
h.skip_if_stubbed_solr()
super(TestSearch, self).setup()
h.load_fixture('cra')
ourdict = {
'_id': 'myspecialid',
'cofog1_ws': 'foobar'
}
self.solr = solr.get_connection()
self.solr.add(**ourdict)
self.solr.commit()
solr.build_index(dataset_name='cra')
def setup(self):
super(TestCompoundDimension, self).setup()
self.engine = db.engine
self.meta = db.metadata
self.meta.bind = self.engine
self.ds = h.load_fixture('cra')
self.entity = self.ds['from']
self.classifier = self.ds['cofog1']
def setup(self):
super(TestCompoundDimension, self).setup()
self.engine = db.engine
self.meta = db.metadata
self.meta.bind = self.engine
self.ds = h.load_fixture('cra')
self.entity = self.ds['from']
self.classifier = self.ds['cofog1']
def test_compute_cube(self):
from openspending.model import Dataset
cra = h.load_fixture('cra')
cube = Cube.configure_default_cube(cra)
cube.compute()
h.assert_true('cubes.cra.default' in mongo.db().collection_names())
def load_example(name):
# TODO: separate the concepts of example/development data and test
# fixtures.
load_fixture(name)
return 0
def load_example(name):
# TODO: separate the concepts of example/development data and test
# fixtures.
load_fixture(name)
return 0
