class TestDatasetLoad(DatabaseTestCase): def setup(self): super(TestDatasetLoad, self).setup() self.ds = Dataset(SIMPLE_MODEL) self.ds.generate() self.engine = db.engine 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_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_drop(self): tn = self.engine.table_names() assert "test__entry" in tn, tn assert "test__to" in tn, tn assert "test__function" in tn, tn self.ds.drop() tn = self.engine.table_names() assert "test__entry" not in tn, tn assert "test__to" not in tn, tn assert "test__function" not in tn, tn def test_dataset_count(self): load_dataset(self.ds) assert len(self.ds) == 6, len(self.ds) 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_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_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_dimensions_drilldown(self): load_dataset(self.ds) res = self.ds.aggregate(drilldowns=["function"]) assert res["summary"]["num_entries"] == 6, res assert res["summary"]["amount"] == 2690, res 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_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_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_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
class TestDatasetLoad(DatabaseTestCase): def setup(self): super(TestDatasetLoad, self).setup() self.ds = Dataset(SIMPLE_MODEL) self.ds.generate() self.engine = db.engine 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_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_drop(self): tn = self.engine.table_names() assert 'test__entry' in tn, tn assert 'test__to' in tn, tn assert 'test__function' in tn, tn self.ds.drop() tn = self.engine.table_names() assert 'test__entry' not in tn, tn assert 'test__to' not in tn, tn assert 'test__function' not in tn, tn def test_dataset_count(self): load_dataset(self.ds) assert len(self.ds)==6,len(self.ds) 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_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_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_dimensions_drilldown(self): load_dataset(self.ds) res = self.ds.aggregate(drilldowns=['function']) assert res['summary']['num_entries']==6, res assert res['summary']['amount']==2690, res 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_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_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_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