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'])