class DatasetTestCase(unittest.TestCase):
def setUp(self):
make_test_app()
self.ds = Dataset(SIMPLE_MODEL)
def tearDown(self):
tear_down_test_app()
def test_load_model_properties(self):
assert self.ds.name == SIMPLE_MODEL["dataset"]["name"], self.ds.name
assert self.ds.label == SIMPLE_MODEL["dataset"]["label"], self.ds.label
def test_load_model_dimensions(self):
assert len(self.ds.dimensions) == 4, self.ds.dimensions
assert isinstance(self.ds["time"], ValueDimension), self.ds["time"]
assert isinstance(self.ds["field"], ValueDimension), self.ds["field"]
assert isinstance(self.ds["to"], ComplexDimension), self.ds["to"]
assert isinstance(self.ds["function"], ComplexDimension), self.ds["function"]
assert len(self.ds.metrics) == 1, self.ds.metrics
assert isinstance(self.ds["amount"], Metric), self.ds["amount"]
def test_value_dimensions_as_attributes(self):
self.ds.generate()
dim = self.ds["field"]
assert isinstance(dim.column.type, UnicodeText), dim.column
assert "field" == dim.column.name, dim.column
assert dim.name == "field", dim.name
assert dim.source_column == SIMPLE_MODEL["mapping"]["field"]["column"], dim.source_column
assert dim.label == SIMPLE_MODEL["mapping"]["field"]["label"], dim.label
assert dim.default == None, dim.default
assert dim.dataset == self.ds, dim.dataset
assert dim.datatype == "string", dim.datatype
assert not hasattr(dim, "table")
assert not hasattr(dim, "alias")
def test_generate_db_entry_table(self):
self.ds.generate()
assert self.ds.table.name == "test_entry", self.ds.table.name
cols = self.ds.table.c
assert "id" in cols
assert isinstance(cols["id"].type, Integer)
# TODO:
assert "time" in cols
assert isinstance(cols["time"].type, UnicodeText)
assert "amount" in cols
assert isinstance(cols["amount"].type, Float)
assert "field" in cols
assert isinstance(cols["field"].type, UnicodeText)
assert "to_id" in cols
assert isinstance(cols["to_id"].type, Integer)
assert "function_id" in cols
assert isinstance(cols["function_id"].type, Integer)
self.assertRaises(KeyError, cols.__getitem__, "foo")
class ComplexDimensionTestCase(unittest.TestCase):
def setUp(self):
make_test_app()
self.engine = core.db.engine
self.meta = core.db.metadata #MetaData()
self.meta.bind = self.engine
self.ds = Dataset(SIMPLE_MODEL)
self.reader = csv.DictReader(StringIO(TEST_DATA))
self.entity = self.ds['to']
self.classifier = self.ds['function']
def tearDown(self):
tear_down_test_app()
def test_basic_properties(self):
self.ds.generate()
assert self.entity.name=='to', self.entity.name
assert self.classifier.name=='function', self.classifier.name
assert self.entity.scheme=='entity', self.entity.scheme
assert self.classifier.scheme=='funny', self.classifier.scheme
def test_generated_tables(self):
assert not hasattr(self.entity, 'table'), self.entity
self.ds.generate()
assert hasattr(self.entity, 'table'), self.entity
assert self.entity.table.name=='test_' + self.entity.scheme, self.entity.table.name
assert hasattr(self.entity, 'alias')
assert self.entity.alias.name==self.entity.name, self.entity.alias.name
cols = self.entity.table.c
assert 'id' in cols
self.assertRaises(KeyError, cols.__getitem__, 'field')
def test_attributes_exist_on_object(self):
assert len(self.entity.attributes)==3, self.entity.attributes
self.assertRaises(KeyError, self.entity.__getitem__, 'field')
assert self.entity['name'].name=='name'
assert self.entity['name'].datatype=='string'
assert self.entity['const'].default=='true'
def test_attributes_exist_on_table(self):
self.ds.generate()
assert hasattr(self.entity, 'table'), self.entity
assert 'name' in self.entity.table.c, self.entity.table.c
assert 'label' in self.entity.table.c, self.entity.table.c
class DatasetLoadTestCase(unittest.TestCase):
def setUp(self):
make_test_app()
self.ds = Dataset(SIMPLE_MODEL)
self.engine = core.db.engine
self.ds.generate()
self.reader = csv.DictReader(StringIO(TEST_DATA))
def tearDown(self):
tear_down_test_app()
def test_load_all(self):
self.ds.load_all(self.reader)
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn) == 6, resn
row0 = resn[0]
assert row0["time"] == "2010", row0.items()
assert row0["amount"] == 200, row0.items()
assert row0["field"] == "foo", row0.items()
def test_flush(self):
self.ds.load_all(self.reader)
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_entity" in tn, tn
assert "test_funny" in tn, tn
self.ds.drop()
tn = self.engine.table_names()
assert "test_entry" not in tn, tn
assert "test_entity" not in tn, tn
assert "test_funny" not in tn, tn
def test_aggregate_simple(self):
self.ds.load_all(self.reader)
res = self.ds.aggregate()
assert res["summary"]["num_entries"] == 6, res
assert res["summary"]["amount"] == 2690.0, res
def test_aggregate_basic_cut(self):
self.ds.load_all(self.reader)
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):
self.ds.load_all(self.reader)
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):
self.ds.load_all(self.reader)
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):
self.ds.load_all(self.reader)
res = self.ds.aggregate(drilldowns=["function", "field"])
# pprint(res)
assert res["summary"]["num_entries"] == 6, res
assert res["summary"]["amount"] == 2690, res
assert len(res["drilldown"]) == 5, res["drilldown"]
def test_materialize_table(self):
self.ds.load_all(self.reader)
itr = self.ds.materialize()
tbl = list(itr)
assert len(tbl) == 6, tbl
row = tbl[0]
assert isinstance(row["field"], unicode), row
assert isinstance(row["function"], dict), row
assert isinstance(row["to"], dict), row