def test_flush(self):
load_dataset(self.ds)
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn) == 6, resn
self.ds.flush()
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn) == 0, resn
def test_flush(self):
load_dataset(self.ds)
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn) == 6, resn
self.ds.flush()
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn) == 0, resn
def test_load_all(self):
load_dataset(self.ds)
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn) == 6, resn
row0 = resn[0]
assert row0['amount'] == 200, row0.items()
assert row0['field'] == 'foo', row0.items()
def test_load_all(self):
load_dataset(self.ds)
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn) == 6, resn
row0 = resn[0]
assert row0['amount'] == 200, row0.items()
assert row0['field'] == 'foo', row0.items()
def test_materialize_table(self):
load_dataset(self.ds)
itr = self.ds.entries()
tbl = list(itr)
assert len(tbl) == 6, len(tbl)
row = tbl[0]
assert isinstance(row['field'], unicode), row
assert isinstance(row['function'], dict), row
assert isinstance(row['to'], dict), row
def test_materialize_table(self):
load_dataset(self.ds)
itr = self.ds.entries()
tbl = list(itr)
assert len(tbl) == 6, len(tbl)
row = tbl[0]
assert isinstance(row['field'], unicode), row
assert isinstance(row['function'], dict), row
assert isinstance(row['to'], dict), row
def test_aggregate_two_attributes_same_dimension(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=['function.name', 'function.label'])
assert len(res['drilldown']) == 2, res['drilldown']
def test_aggregate_by_attribute(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=['function.label'])
assert len(res['drilldown']) == 2, res['drilldown']
def test_aggregate_two_dimensions_drilldown(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=['function', 'field'])
assert res['summary']['num_entries'] == 6, res
assert res['summary']['amount'] == 2690, res
assert len(res['drilldown']) == 5, res['drilldown']
def test_aggregate_or_cut(self):
load_dataset(self.ds)
res = self.ds.aggregate(cuts=[('field', u'foo'), ('field', u'bar')])
assert res['summary']['num_entries'] == 4, res
assert res['summary']['amount'] == 1190, res
def test_aggregate_basic_cut(self):
load_dataset(self.ds)
res = self.ds.aggregate(cuts=[('field', u'foo')])
assert res['summary']['num_entries'] == 3, res
assert res['summary']['amount'] == 1000, res
def test_aggregate_simple(self):
load_dataset(self.ds)
res = self.ds.aggregate()
assert res['summary']['num_entries'] == 6, res
assert res['summary']['amount'] == 2690.0, res
def test_aggregate_simple(self):
load_dataset(self.ds)
res = self.ds.aggregate()
assert res['summary']['num_entries'] == 6, res
assert res['summary']['amount'] == 2690.0, res
def test_aggregate_two_attributes_same_dimension(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=['function.name', 'function.label'])
assert len(res['drilldown']) == 2, res['drilldown']
def test_aggregate_by_attribute(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=['function.label'])
assert len(res['drilldown']) == 2, res['drilldown']
def test_aggregate_two_dimensions_drilldown(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=['function', 'field'])
assert res['summary']['num_entries'] == 6, res
assert res['summary']['amount'] == 2690, res
assert len(res['drilldown']) == 5, res['drilldown']
def test_aggregate_or_cut(self):
load_dataset(self.ds)
res = self.ds.aggregate(cuts=[('field', u'foo'),
('field', u'bar')])
assert res['summary']['num_entries'] == 4, res
assert res['summary']['amount'] == 1190, res
def test_aggregate_basic_cut(self):
load_dataset(self.ds)
res = self.ds.aggregate(cuts=[('field', u'foo')])
assert res['summary']['num_entries'] == 3, res
assert res['summary']['amount'] == 1000, res
def test_dataset_count(self):
load_dataset(self.ds)
assert len(self.ds) == 6, len(self.ds)
def test_dataset_count(self):
load_dataset(self.ds)
assert len(self.ds) == 6, len(self.ds)
