def run():
print(
"***************** Codeable Models Class Relations *****************")
generator = PlantUMLGenerator()
generator.generate_class_models("codeable_models_model", [
codeable_models_all, {}, codeable_models_hierarchy, {
"render_associations": False,
"render_attributes": False
}, bundles_model, {
"render_attributes": False,
"included_associations": [bundle_elements_relation]
}, classifier_model, {
"included_associations": [
inheritance_relation, classifier_association_relation,
classifier_attribute_relation
]
}, metaclass_model, {
"excluded_associations": [inheritance_relation]
}, stereotype_model, {
"excluded_associations": [
inheritance_relation, classifier_association_relation,
association_source_relation, association_target_relation
]
}, class_model, {}, object_model, {}, association_model, {
"excluded_associations": [inheritance_relation]
}, link_model, {}
])
print(
f"... Generated models in {generator.directory!s}/codeable_models_model"
)
def run():
print(
"***************** Microservice Component Model 3: Meta-modelling example (instance model) *****************"
)
print("*** Stereotypes and Extended Introspection")
print_stereotypes_and_extended_introspection()
print("*** Instances Introspection")
print_instances_introspection()
print("*** Tagged Values")
print_tagged_values()
print("*** Default Values")
print_default_values()
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.object_model_renderer.left_to_right = True
generator.generate_object_models("microservice_component_model3", [
microservice_component_model3, {},
microservice_component_model3_instance_model_no_attribute_or_tag_values,
{
"render_attribute_values": False,
"render_tagged_values": False
}
])
# avoid doing this step twice, it is also called in ..._class_model.py
# generator.generate_class_models("microservice_component_model3", [component_meta_model3, {}])
print(
f"... Generated models in {generator.directory!s}/microservice_component_model3"
)
def run():
print("***************** Microservice Component Model 1: Meta-modelling example (class model) *****************")
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.class_model_renderer.left_to_right = True
generator.generate_class_models("microservice_component_model1",
[microservice_component_model1_class_model, {}])
print(f"... Generated models in {generator.directory!s}/microservice_component_model1")
def run():
print("***************** Shopping Model Example 1 *****************")
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.generate_class_models(shopping_model.name, [shopping_model, {}])
print(
f"... Generated models in {generator.directory!s}/{shopping_model.name!s}"
)
def run():
print("***************** Shopping Model Example 2 *****************")
print('*** Attribute introspection examples')
print_attribute_introspection_examples()
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.generate_class_models(shopping_model.name, [shopping_model, {}])
print(f"... Generated models in {generator.directory!s}/{shopping_model.name!s}")
def run():
print(
"***************** Shopping Model Instance Model 1 (Using Shopping Model 4) *****************"
)
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.generate_object_models("shopping_instance2",
[shopping_instance2_all, {}])
print(
f"... Generated models in {generator.directory!s}/shopping_instance2")
def run():
print("***************** Shopping Activity Model 1: Meta-modelling example (Instance Model) *****************")
print("*** Classes introspection")
print_classes_introspection_examples()
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.object_model_renderer.left_to_right = True
generator.generate_object_models(shopping_activity_instance_model.name, [shopping_activity_instance_model, {}])
print(f"... Generated models in {generator.directory!s}/{shopping_activity_instance_model.name!s}")
def run():
print(
"***************** Microservice Component Model 2: Meta-modelling example (Instance Model) *****************"
)
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.object_model_renderer.left_to_right = True
generator.generate_object_models(
"microservice_component_model2",
[microservice_component_model2_instance_model, {}])
print(
f"... Generated models in {generator.directory!s}/microservice_component_model2"
)
def run():
print("***************** Shopping Model Example 3 *****************")
print("*** Association introspection")
print_association_introspection_examples()
print("*** Class introspection\n")
print_class_introspection_examples()
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.generate_class_models("shopping_model3", [
shopping_model_all, {}, shopping_model_persons, {},
shopping_model_orders, {}
])
print(f"... Generated models in {generator.directory!s}/shopping_model3")
def run():
print(
"***************** Shopping Activity Model 2: Meta-modelling example (class-level) *****************"
)
print("*** Classes introspection")
print_classes_introspection_examples()
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.class_model_renderer.left_to_right = True
generator.generate_class_models(shopping_activity_class_model.name, [
shopping_activity_class_model, {
"render_metaclass_as_stereotype": True
}
])
print(
f"... Generated models in {generator.directory!s}/{shopping_activity_class_model.name!s}"
)
def run_all():
generator = PlantUMLGenerator()
generator.delete_gen_dir()
for method in [
run_shopping_model1, run_shopping_model2, run_shopping_model3,
run_shopping_instances1, run_shopping_instances2,
shopping_activities1_class_model,
shopping_activities1_instance_model,
run_shopping_shopping_activity_model2,
run_microservice_component_model1_class_model(),
run_microservice_component_model1_instance_model(),
run_microservice_component_model2_class_model(),
run_microservice_component_model2_instance_model(),
run_microservice_component_model3_class_model(),
run_microservice_component_model3_instance_model(),
run_metamodel_rendering, run_codeable_models_class_relations
]:
run_in_process(method)
return generator.directory
def run():
print(
"***************** Microservice Component Model 3: Meta-modelling example (class model) *****************"
)
print("*** Stereotypes and Extended Introspection")
print_stereotypes_and_extended_introspection()
print("*** Instances Introspection")
print_instances_introspection()
print("*** Tagged Values")
print_tagged_values()
print("*** Default Values")
print_default_values()
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.class_model_renderer.left_to_right = True
generator.generate_class_models("microservice_component_model3", [
microservice_component_model3, {},
microservice_component_model3_no_tagged_values, {
"render_tagged_values": False
}
])
generator.class_model_renderer.left_to_right = False
generator.generate_class_models("microservice_component_model3",
[component_meta_model2, {}])
print(
f"... Generated models in {generator.directory!s}/microservice_component_model3"
)
def run():
print(
"***************** Rendering Predefined Meta-Models *****************")
generator = PlantUMLGenerator()
generator.generate_class_models("component_metamodel",
componentMetamodelViews)
print(
f"... Generated models in {generator.directory!s}/component_metamodel")
generator.generate_class_models("microservices_metamodel",
microservice_metamodel_views)
print(
f"... Generated models in {generator.directory!s}/microservices_metamodel"
)
generator.generate_class_models("activity_metamodel",
activity_metamodel_views)
print(
f"... Generated models in {generator.directory!s}/activity_metamodel")
def run():
print("***************** Shopping Activity Model 2: " +
"Example combining object, class, and meta-del *****************")
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.generate_class_models("workflow_class_model",
[workflow_class_model, {}])
generator.object_model_renderer.left_to_right = True
generator.generate_object_models("shopping_trace_object_model", [
shopping_trace_object_model, {},
shopping_trace_object_model_with_objects, {}
])
def run():
print(
"***************** Shopping Model Instance Model 1 (Using Shopping Model 4) *****************"
)
print("*** Attribute Getting / Setting")
print_attribute_getting_setting_examples()
print("*** Link Introspection")
print_link_introspection_examples()
print('*** Plant UML Generation')
generator = PlantUMLGenerator()
generator.generate_object_models("shopping_instance1", [
shopping_instance1_order_model, {
"render_association_names_when_no_label_is_given": True
}, shopping_instance1_staff_model, {
"render_association_names_when_no_label_is_given": True
}
])
# change links to generate the "wrong" staff model as well
delete_links({manager: [crm1, crm2]})
add_links({manager: [crm1, crm2]}, association=staff_reports_to_relation)
shopping_instance1_staff_model.name = shopping_instance1_staff_model.name + "_wrong"
generator.generate_object_models("shopping_instance1", [
shopping_instance1_staff_model, {
"render_association_names_when_no_label_is_given": True
}
])
# correct the links again
delete_links({manager: [crm1, crm2]})
add_links({manager: [crm1, crm2]}, role_name="managed")
print(
f"... Generated models in {generator.directory!s}/shopping_instance1")