def test_top_level_package_with_subpackages(pygen_output_dir):
rootpkg = EPackage('rootpkg')
subpkg = EPackage('subpkg')
cls1 = EClass('A')
cls2 = EClass('B')
cls1.eStructuralFeatures.append(EReference('b', cls2))
cls2.eStructuralFeatures.append(
EReference('a', cls1, eOpposite=cls1.findEStructuralFeature('b')))
rootpkg.eClassifiers.append(cls1)
rootpkg.eSubpackages.append(subpkg)
subpkg.eClassifiers.append(cls2)
mm = generate_meta_model(rootpkg, pygen_output_dir)
assert mm.name == rootpkg.name
assert mm.eSubpackages[0].eSuperPackage.name == rootpkg.name
generated_A = mm.getEClassifier('A')
assert generated_A
generated_subpkg = mm.eSubpackages[0]
assert generated_subpkg
assert generated_subpkg.name == 'subpkg'
generated_B = generated_subpkg.getEClassifier('B')
assert generated_B
a = generated_A()
b = generated_B()
a.b = b
assert b.a is a
def test__ecore_task__filtered_elements():
# prepare test model:
# -------------------
# ThePackage
# Class1
# SubPackage
# Class2
# MyEnum
package = EPackage('ThePackage')
class1 = EClass('Class1')
class2 = EClass('Class2')
enum = EEnum('MyEnum', literals=['A', 'B'])
subpackage = EPackage('SubPackage')
package.eSubpackages.append(subpackage)
package.eClassifiers.append(class1)
subpackage.eClassifiers.extend([class2, enum])
task = EcoreTask()
task.element_type = EPackage
assert set(task.filtered_elements(package)) == {package, subpackage}
task.element_type = EClass
assert set(task.filtered_elements(package)) == {class1, class2}
task.element_type = EEnum
assert set(task.filtered_elements(package)) == {enum}
def package_in_hierarchy():
pkg1 = EPackage('pkg1')
pkg2 = EPackage('pkg2')
pkg3 = EPackage('pkg3')
pkg1.eSubpackages.append(pkg2)
pkg2.eSubpackages.append(pkg3)
return pkg3
def test_user_module_derived_collection(pygen_output_dir):
rootpkg = EPackage('derived_collection')
c1 = EClass('MyClass')
c1.eStructuralFeatures.append(EAttribute('any', EString, derived=True, upper=-1))
rootpkg.eClassifiers.append(c1)
c2 = EClass('MyOtherClass')
c2.eStructuralFeatures.append(EReference('other', c1, derived=True, upper=-1))
c2.eSuperTypes.append(c1)
rootpkg.eClassifiers.append(c2)
mm = generate_meta_model(rootpkg, pygen_output_dir)
c = mm.MyOtherClass()
assert isinstance(c, mm.MyOtherClass)
assert isinstance(c, mm.MyClass)
with pytest.raises(AttributeError):
len(c.any)
with pytest.raises(AttributeError):
len(c.other)
with pytest.raises(AttributeError):
c.any.append('testValue')
d = mm.MyClass()
assert not isinstance(d, mm.MyOtherClass)
assert isinstance(d, mm.MyClass)
with pytest.raises(AttributeError):
c.other.append(d)
def test_opposite_derived(pygen_output_dir):
rootpkg = EPackage('opposite_derived')
c1 = EClass('A')
c2 = EClass('B')
any_feature = EReference('any', c2, derived=True)
c1.eStructuralFeatures.append(any_feature)
rootpkg.eClassifiers.append(c1)
other_feature = EReference('other',
c1,
derived=True,
eOpposite=any_feature)
c2.eStructuralFeatures.append(other_feature)
rootpkg.eClassifiers.append(c2)
assert other_feature.eOpposite is any_feature
assert any_feature.eOpposite is other_feature
mm = generate_meta_model(rootpkg, pygen_output_dir)
a = mm.A()
b = mm.B()
with pytest.raises(NotImplementedError):
a.any = b
with pytest.raises(NotImplementedError):
b.other = a
def test_user_module_derived_from_mixin_(pygen_output_dir):
rootpkg = EPackage('derived_from_mixin')
c1 = EClass('MyClass')
c1.eOperations.append(EOperation('do_it'))
c1.eStructuralFeatures.append(EAttribute('any', EString, derived=True))
rootpkg.eClassifiers.append(c1)
c2 = EClass('MyOtherClass')
c2.eStructuralFeatures.append(EAttribute('other', EString, derived=True))
c2.eStructuralFeatures.append(EReference('toc', c1, derived=True))
c2.eSuperTypes.append(c1)
rootpkg.eClassifiers.append(c2)
mm = generate_meta_model(rootpkg, pygen_output_dir, user_module='user_provided.module')
c = mm.MyOtherClass(any='any', other='other')
assert isinstance(c, MyClassMixin)
assert isinstance(c, MyOtherClassMixin)
assert isinstance(c, mm.MyClass)
assert c.any == 'any'
c.mock_other.assert_called_once_with('other')
assert not c.do_it.called
c.do_it()
assert c.do_it.called
assert isinstance(mm.MyOtherClass._toc, EReference)
assert mm.MyOtherClass._toc.name == 'toc'
def test_operation(pygen_output_dir):
rootpkg = EPackage('operation')
class_ = EClass('MyClass')
rootpkg.eClassifiers.append(class_)
class_.eOperations.append(
EOperation(
'do_it',
EInt,
params=(EParameter('p1', EInt,
required=True), EParameter('p2', EInt)),
))
mm = generate_meta_model(rootpkg, pygen_output_dir)
instance = mm.eClassifiers['MyClass']()
with pytest.raises(NotImplementedError):
instance.do_it(1, 2)
# missing non-required argument
with pytest.raises(NotImplementedError):
instance.do_it(1)
# missing non-required argument
with pytest.raises(NotImplementedError):
instance.do_it(p1=1)
# missing required argument:
with pytest.raises(TypeError):
instance.do_it(p2=2)
def test_user_module_imported(pygen_output_dir):
rootpkg = EPackage('user_module')
c1 = EClass('MyClass')
rootpkg.eClassifiers.append(c1)
with pytest.raises(ImportError) as ex:
mm = generate_meta_model(rootpkg, pygen_output_dir, user_module='some_module')
assert 'some_module' in ex.message
def test_classifier_imports(pygen_output_dir):
# super types and enums from another package have to be imported in using module:
rootpkg = EPackage('import_test')
ppkg = EPackage('provider')
upkg = EPackage('user')
rootpkg.eSubpackages.extend([ppkg, upkg])
super_class = EClass('SuperClass')
enum = EEnum('AnEnum', literals=('A', 'B'))
ppkg.eClassifiers.extend((super_class, enum))
derived_class = EClass('DerivedClass', superclass=super_class)
derived_class.eStructuralFeatures.append(EAttribute('kind', enum))
upkg.eClassifiers.append(derived_class)
# simply importing successully shows the imports have made the types visible
mm = generate_meta_model(rootpkg, pygen_output_dir)
assert mm
def test_package_with_enum(pygen_output_dir):
enumpkg = EPackage('enumpkg')
enum = EEnum('MyEnum', literals=('X', 'Y', 'Z'))
enumpkg.eClassifiers.append(enum)
mm = generate_meta_model(enumpkg, pygen_output_dir)
generated_enum = mm.eClassifiers['MyEnum']
assert isinstance(generated_enum, EEnum)
assert set(l.name for l in generated_enum.eLiterals) == {'X', 'Y', 'Z'}
def test_auto_registration_enabled(pygen_output_dir):
rootpkg = EPackage('auto_registration', nsURI='http://autoregister')
c1 = EClass('MyClass')
rootpkg.eClassifiers.append(c1)
mm = generate_meta_model(rootpkg, pygen_output_dir, auto_register_package=True)
from pyecore.resources import global_registry
assert mm.nsURI in global_registry
assert global_registry[mm.nsURI] is mm.auto_registration
def test_class_with_documentation(pygen_output_dir):
rootpkg = EPackage('class_doc')
class_ = EClass('MyClass')
rootpkg.eClassifiers.append(class_)
doc = EAnnotation('http://www.eclipse.org/emf/2002/GenModel')
class_.eAnnotations.append(doc)
doc.details['documentation'] = 'This is a documentation test'
mm = generate_meta_model(rootpkg, pygen_output_dir)
generated_class = mm.eClassifiers['MyClass']
assert generated_class.__doc__ == 'This is a documentation test'
def test_attribute_with_feature_id(pygen_output_dir):
rootpkg = EPackage('id_attribute')
c1 = EClass('MyClass')
rootpkg.eClassifiers.append(c1)
a1 = EAttribute('att', EString, iD=True)
a2 = EAttribute('att2', EString)
c1.eStructuralFeatures.extend([a1, a2])
mm = generate_meta_model(rootpkg, pygen_output_dir)
assert isinstance(mm.MyClass.att, EAttribute)
assert isinstance(mm.MyClass.att2, EAttribute)
assert mm.MyClass.att.iD is True
assert mm.MyClass.att2.iD is False
def test_class_with_feature_many(pygen_output_dir):
rootpkg = EPackage('manyfeatures')
MyClass = EClass('MyClass')
rootpkg.eClassifiers.append(MyClass)
any_feature = EAttribute('any', EString, upper=-1)
MyClass.eStructuralFeatures.append(any_feature)
mm = generate_meta_model(rootpkg, pygen_output_dir)
generated_class = mm.eClassifiers['MyClass']
instance = mm.MyClass()
assert generated_class is mm.MyClass
assert isinstance(mm.MyClass.any, EAttribute)
assert instance.any == set()
def test_class_with_derived_features(pygen_output_dir):
rootpkg = EPackage('simpleClasses')
MyClass = EClass('MyClass')
rootpkg.eClassifiers.append(MyClass)
any_feature = EAttribute('any', EString, derived=True)
MyClass.eStructuralFeatures.append(any_feature)
mm = generate_meta_model(rootpkg, pygen_output_dir)
generated_class = mm.eClassifiers['MyClass']
assert mm.MyClass is generated_class
assert isinstance(mm.MyClass._any, EAttribute)
assert mm.MyClass._any.derived is True
assert mm.MyClass._any.name == 'any'
def test_class_with_features(pygen_output_dir):
rootpkg = EPackage('class_features')
class_ = EClass('MyClass')
rootpkg.eClassifiers.append(class_)
class_.eStructuralFeatures.append(EAttribute('number', EInt, changeable=False))
class_.eStructuralFeatures.append(EReference('ref', class_))
mm = generate_meta_model(rootpkg, pygen_output_dir)
generated_class = mm.eClassifiers['MyClass']
instance = generated_class(number=7)
assert instance.number == 7
assert not instance.ref
instance.ref = instance
assert instance.ref is instance
def test_eoperation_with_documentation(pygen_output_dir):
rootpkg = EPackage('eoperation_with_documentation')
c1 = EClass('MyClass')
rootpkg.eClassifiers.append(c1)
operation = EOperation('do_it')
doc = EAnnotation('http://www.eclipse.org/emf/2002/GenModel')
operation.eAnnotations.append(doc)
doc.details['documentation'] = 'This is a documentation test'
c1.eOperations.append(operation)
mm = generate_meta_model(rootpkg, pygen_output_dir)
instance = mm.MyClass()
with pytest.raises(NotImplementedError):
instance.do_it()
def test_empty_package(pygen_output_dir):
package = EPackage('empty')
mm = generate_meta_model(package, pygen_output_dir)
assert mm
assert mm.name == 'empty'
assert not mm.nsURI
assert not mm.nsPrefix
assert not mm.eClassifiers
package.name = 'empty2'
package.nsURI = 'http://xyz.org'
package.nsPrefix = 'p'
mm = generate_meta_model(package, pygen_output_dir)
assert mm.nsURI == 'http://xyz.org'
assert mm.nsPrefix == 'p'
def test_various_datatypes(pygen_output_dir):
rootpkg = EPackage('datatypes')
data1 = EDataType('Data1', instanceClassName='java.lang.Integer')
data2 = EDataType('Data2', instanceClassName='Unknown')
rootpkg.eClassifiers.extend([data1, data2])
mm = generate_meta_model(rootpkg, pygen_output_dir)
gendata1 = mm.eClassifiers['Data1']
gendata2 = mm.eClassifiers['Data2']
assert gendata1 is mm.Data1
assert mm.Data1.eType is int
assert mm.Data1.default_value is 0
assert gendata2 is mm.Data2
assert mm.Data2.eType is object
assert isinstance(mm.Data2.default_value, object)
def test_pythonic_names(pygen_output_dir):
rootpkg = EPackage('pythonic_names')
c1 = EClass('MyClass')
rootpkg.eClassifiers.append(c1)
a1 = EAttribute('att', EString, upper=-1)
c1.eStructuralFeatures.append(a1)
c2 = EClass('pass')
rootpkg.eClassifiers.append(c2)
a2 = EAttribute('else', EString, upper=-1)
c2.eStructuralFeatures.append(a2)
mm = generate_meta_model(rootpkg, pygen_output_dir)
assert mm.eClassifiers['MyClass'] is mm.MyClass
assert mm.eClassifiers['pass_'] is mm.pass_
assert isinstance(mm.pass_.else_, EAttribute)
assert mm.pass_().else_ == set()
def test_eattribute_derived_not_changeable(pygen_output_dir):
rootpkg = EPackage('changeable_attribute')
c1 = EClass('MyClass')
rootpkg.eClassifiers.append(c1)
att1 = EAttribute('att1', EString, derived=True, changeable=True)
att2 = EAttribute('att2', EString, derived=True, changeable=False)
c1.eStructuralFeatures.extend([att2, att1])
mm = generate_meta_model(rootpkg, pygen_output_dir)
instance = mm.MyClass()
assert instance.att1 is None
assert instance.att2 is None
instance.att1 = "test_value"
assert instance.att1 == "test_value"
with pytest.raises(AttributeError):
instance.att2 = "test_value2"
def test_user_module_default_values(pygen_output_dir):
rootpkg = EPackage('with_default_values')
e1 = EEnum('MyEnum', literals=('None_', 'A', 'B'))
rootpkg.eClassifiers.append(e1)
c1 = EClass('MyClass')
a1 = EAttribute('a1', EString)
a1.defaultValueLiteral = 'my_str'
a2 = EAttribute('a2', EInt)
a2.defaultValueLiteral = '7654321'
a3 = EAttribute('a3', e1)
a3.defaultValueLiteral = 'None'
c1.eStructuralFeatures.extend([a1, a2, a3])
rootpkg.eClassifiers.append(c1)
mm = generate_meta_model(rootpkg, pygen_output_dir)
assert mm.MyClass.a1.default_value == 'my_str'
assert mm.MyClass.a2.default_value == 7654321
assert mm.MyClass.a3.default_value == mm.MyEnum.None_
def makepackage(dom, idx):
"""Top-level constructor for ECore translation."""
pkg = EPackage(PKGNAME, nsURI=PKGPREFIX, nsPrefix=PKGNAME)
for clstag in dom.find_all(iseclass):
makeeclass(clstag, idx, pkg)
return pkg
"""Definition of meta model 'type' for XMLTypes."""
from functools import partial
import pyecore.ecore as Ecore
from pyecore.ecore import EPackage, EDataType, EObject, MetaEClass, \
EAttribute, EFeatureMapEntry, EReference
name = 'type'
nsURI = 'http://www.eclipse.org/emf/2003/XMLType'
nsPrefix = 'ecore.xml.type'
eClass = EPackage(name=name, nsURI=nsURI, nsPrefix=nsPrefix)
eClassifiers = {}
getEClassifier = partial(Ecore.getEClassifier, searchspace=eClassifiers)
AnySimpleType = EDataType('AnySimpleType',
instanceClassName='java.lang.Object')
AnyURI = EDataType('AnyURI', instanceClassName='java.lang.String')
Base64Binary = EDataType('Base64Binary', instanceClassName='byte[]')
Boolean = EDataType('Boolean',
instanceClassName='boolean',
to_string=lambda x: str(x).lower(),
from_string=lambda x: x in ['True', 'true'])
BooleanObject = EDataType('BooleanObject',
instanceClassName='java.lang.Boolean',
to_string=lambda x: str(x).lower(),
from_string=lambda x: x in ['True', 'true'])