def test_serialize_schema(self):
schema = '''
CREATE TABLE X (BOOLEAN BOOLEAN,
INTEGER INTEGER,
REAL REAL,
STRING STRING,
UNIQUE_ID UNIQUE_ID,
Next UNIQUE_ID);
CREATE ROP REF_ID R1 FROM 1C X ( Next ) PHRASE 'precedes'
TO 1C X ( UNIQUE_ID ) PHRASE 'succeeds';
'''
loader = xtuml.ModelLoader()
loader.input(schema)
m = loader.build_metamodel()
x1 = m.new('X', Boolean=True, Integer=4, String='str')
x2 = m.new('X', Boolean=True, Integer=4, String='str')
xtuml.relate(x1, x2, 1, 'precedes')
s = xtuml.serialize_schema(m)
loader = xtuml.ModelLoader()
loader.input(s)
m = loader.build_metamodel()
self.assertFalse(m.select_any('X'))
x1 = m.new('X', Boolean=True, Integer=4, String='str')
x2 = m.new('X', Boolean=True, Integer=4, String='str')
xtuml.relate(x1, x2, 1, 'succeeds')
self.assertTrue(xtuml.navigate_one(x1).X[1, 'succeeds']())
def test_serialize_schema(self):
schema = '''
CREATE TABLE X (BOOLEAN BOOLEAN,
INTEGER INTEGER,
REAL REAL,
STRING STRING,
UNIQUE_ID UNIQUE_ID,
Next UNIQUE_ID);
CREATE ROP REF_ID R1 FROM 1C X ( Next ) PHRASE 'precedes'
TO 1C X ( UNIQUE_ID ) PHRASE 'succeeds';
'''
loader = xtuml.ModelLoader()
loader.input(schema)
m = loader.build_metamodel()
x1 = m.new('X', Boolean=True, Integer=4, String='str')
x2 = m.new('X', Boolean=True, Integer=4, String='str')
xtuml.relate(x1, x2, 1, 'precedes')
s = xtuml.serialize_schema(m)
loader = xtuml.ModelLoader()
loader.input(s)
m = loader.build_metamodel()
self.assertFalse(m.select_any('X'))
x1 = m.new('X', Boolean=True, Integer=4, String='str')
x2 = m.new('X', Boolean=True, Integer=4, String='str')
xtuml.relate(x1, x2, 1, 'succeeds')
self.assertTrue(xtuml.navigate_one(x1).X[1, 'succeeds']())
def compare_wrapper(self, *args, **kwargs):
loader = xtuml.ModelLoader()
loader.input(fn.__doc__)
m1 = loader.build_metamodel()
s = xtuml.serialize_schema(m1)
loader = xtuml.ModelLoader()
loader.input(s)
m2 = loader.build_metamodel()
self.assertTrue(compare_metamodel_classes(m1, m2))
fn(self)
def compare_wrapper(self, *args, **kwargs):
loader = xtuml.ModelLoader()
loader.input(fn.__doc__)
m1 = loader.build_metamodel()
s = xtuml.serialize_schema(m1)
loader = xtuml.ModelLoader()
loader.input(s)
m2 = loader.build_metamodel()
self.assertTrue(compare_metamodel_classes(m1, m2))
fn(self)
def test_serialize_unique_identifiers(self):
schema = '''
CREATE TABLE X (s1 STRING, s2 STRING);
CREATE UNIQUE INDEX I1 ON X (s1, s2);
'''
loader = xtuml.ModelLoader()
loader.input(schema)
m = loader.build_metamodel()
s = xtuml.serialize_schema(m)
s += xtuml.serialize_unique_identifiers(m)
loader = xtuml.ModelLoader()
loader.input(s)
m = loader.build_metamodel()
x1 = m.new('X', s1='s1', s2='s2')
x2 = m.new('X', s1='s1', s2='s2')
self.assertFalse(m.is_consistent())
x2.s2 = 'S2'
self.assertTrue(m.is_consistent())
def test_serialize_unique_identifiers(self):
schema = '''
CREATE TABLE X (s1 STRING, s2 STRING);
CREATE UNIQUE INDEX I1 ON X (s1, s2);
'''
loader = xtuml.ModelLoader()
loader.input(schema)
m = loader.build_metamodel()
s = xtuml.serialize_schema(m)
s += xtuml.serialize_unique_identifiers(m)
loader = xtuml.ModelLoader()
loader.input(s)
m = loader.build_metamodel()
x1 = m.new('X', s1='s1', s2='s2')
x2 = m.new('X', s1='s1', s2='s2')
self.assertFalse(m.is_consistent())
x2.s2 = 'S2'
self.assertTrue(m.is_consistent())
def test_persist_schema(self):
schema = '''
CREATE TABLE X (BOOLEAN BOOLEAN,
INTEGER INTEGER,
REAL REAL,
STRING STRING,
UNIQUE_ID UNIQUE_ID,
Next UNIQUE_ID);
CREATE ROP REF_ID R1 FROM 1C X ( UNIQUE_ID ) PHRASE 'precedes'
TO 1C X ( Next ) PHRASE 'succeeds';
'''
loader = xtuml.ModelLoader()
loader.input(schema)
m = loader.build_metamodel()
s = xtuml.serialize_schema(m)
(_, filename) = tempfile.mkstemp()
try:
xtuml.persist_schema(m, filename)
with open(filename) as f:
self.assertEqual(s, f.read())
finally:
atexit.register(os.remove, filename)
def test_persist_schema(self):
schema = '''
CREATE TABLE X (BOOLEAN BOOLEAN,
INTEGER INTEGER,
REAL REAL,
STRING STRING,
UNIQUE_ID UNIQUE_ID,
Next UNIQUE_ID);
CREATE ROP REF_ID R1 FROM 1C X ( UNIQUE_ID ) PHRASE 'precedes'
TO 1C X ( Next ) PHRASE 'succeeds';
'''
loader = xtuml.ModelLoader()
loader.input(schema)
m = loader.build_metamodel()
s = xtuml.serialize_schema(m)
(_, filename) = tempfile.mkstemp()
try:
xtuml.persist_schema(m, filename)
with open(filename) as f:
self.assertEqual(s, f.read())
finally:
atexit.register(os.remove, filename)
