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- include "primitives.alh"
- include "library.alh"
- include "object_operations.alh"
- include "constructors.alh"
- include "modelling.alh"
- Boolean function is_direct_instance(model : Element, instance : String, type : String):
- // Just check whether or not the type mapping specifies the type as the type of the instance
- return element_eq(dict_read_node(model["type_mapping"], model["model"][instance]), model["metamodel"]["model"][type])
- Boolean function is_nominal_instance(model : Element, instance : String, type : String):
- if (bool_not(dict_in(model["metamodel"]["model"], type))):
- // type is not even in the specified metamodel, so this will never work
- return False
- if (bool_not(dict_in_node(model["type_mapping"], model["model"][instance]))):
- // Doesn't even have a type
- return False
- return is_nominal_subtype(model["metamodel"], reverseKeyLookup(model["metamodel"]["model"], dict_read_node(model["type_mapping"], model["model"][instance])), type)
- Boolean function is_nominal_subtype(metamodel : Element, subclass : String, superclass : String):
- if (element_eq(metamodel["model"][subclass], metamodel["model"][superclass])):
- return True
- if (bool_not(dict_in(metamodel["model"], subclass))):
- return False
- if (bool_not(dict_in(metamodel["model"], superclass))):
- return False
- Element superclasses
- Element new_superclass
- Element result
- superclasses = get_superclasses(metamodel, subclass)
- while (0 < list_len(superclasses)):
- new_superclass = set_pop(superclasses)
- if (is_nominal_subtype(metamodel, new_superclass, superclass)):
- return True
-
- return False
- String function conformance_scd(model : Element):
- // Initialization
- Element keys
- Element metamodel
- Element typing
- String model_name
- Element src_model
- Element dst_model
- Element src_metamodel
- Element dst_metamodel
- Element element
- Element check_list
- String check_type
- Element cardinalities
- Element scd
- // Load in variables
- scd = import_node("models/SimpleClassDiagrams")
- metamodel = model["metamodel"]
- typing = model["type_mapping"]
- cardinalities = create_node()
- // Create dictionary with all associations and allowed cardinalities
- if (list_len(model["model"]) > 0):
- keys = dict_keys(metamodel["model"])
- Integer slc
- Integer suc
- Integer tlc
- Integer tuc
- String key
- Element tmp_dict
- while (0 < list_len(keys)):
- key = set_pop(keys)
- if (is_nominal_instance(metamodel, key, "Association")):
- tmp_dict = create_node()
- slc = read_attribute(metamodel, key, "source_lower_cardinality")
- suc = read_attribute(metamodel, key, "source_upper_cardinality")
- tlc = read_attribute(metamodel, key, "target_lower_cardinality")
- tuc = read_attribute(metamodel, key, "target_upper_cardinality")
- if (element_neq(slc, read_root())):
- dict_add(tmp_dict, "slc", slc)
- if (element_neq(suc, read_root())):
- dict_add(tmp_dict, "suc", suc)
- if (element_neq(tlc, read_root())):
- dict_add(tmp_dict, "tlc", tlc)
- if (element_neq(tuc, read_root())):
- dict_add(tmp_dict, "tuc", tuc)
- if (list_len(tmp_dict) > 0):
- dict_add(cardinalities, key, tmp_dict)
- // Iterate over each element of the model, finding out whether everything is fine
- keys = dict_keys(model["model"])
- while (0 < list_len(keys)):
- model_name = set_pop(keys)
- element = model["model"][model_name]
- if (bool_not(dict_in_node(typing, element))):
- return "Model has no type specified: " + model_name
- if (bool_not(set_in_node(metamodel["model"], dict_read_node(typing, element)))):
- return "Type of element not in specified metamodel: " + model_name
- if (bool_not(is_nominal_instance(model, model_name, reverseKeyLookup(metamodel["model"], dict_read_node(typing, element))))):
- return "Element is not an instance of its specified type: " + model_name
- if (is_edge(element)):
- src_model = reverseKeyLookup(model["model"], read_edge_src(element))
- dst_model = reverseKeyLookup(model["model"], read_edge_dst(element))
- src_metamodel = reverseKeyLookup(metamodel["model"], read_edge_src(dict_read_node(typing, element)))
- dst_metamodel = reverseKeyLookup(metamodel["model"], read_edge_dst(dict_read_node(typing, element)))
- if (bool_not(is_nominal_instance(model, src_model, src_metamodel))):
- return "Source of model edge not typed by source of type: " + model_name
- if (bool_not(is_nominal_instance(model, dst_model, dst_metamodel))):
- return "Destination of model edge not typed by source of type: " + model_name
- if (dict_in(cardinalities, model_name)):
- // Check cardinality for all of our edges
- //
- // SLC..SUC TLC..TUC
- // A ---------------------> B
- //
- // First the incoming, so we are at B in the above figure
- Integer lower_val
- Integer upper_val
- Integer instances
- check_list = selectPossibleOutgoing(model, model_name, dict_keys(cardinalities))
- while (0 < list_len(check_list)):
- check_type = set_pop(check_list)
- if (dict_in(cardinalities, check_type)):
- // Cardinalities defined for this association, so check them
- lower_val = cardinalities[check_type]["tlc"]
- upper_val = cardinalities[check_type]["tuc"]
- instances = list_len(allOutgoingAssociationInstances(model, model_name, check_type))
- if (dict_in(cardinalities[check_type], "tlc")):
- // A lower cardinality was defined at the target
- if (integer_gt(cardinalities[check_type]["tlc"], instances)):
- return "Lower cardinality violation for outgoing edge at " + model_name
- if (dict_in(cardinalities[check_type], "tuc")):
- // An upper cardinality was defined at the target
- if (integer_lt(cardinalities[check_type]["tuc"], instances)):
- return "Upper cardinality violation for outgoing edge at " + model_name
- // Identical, but for outgoing, and thus for A in the figure
- check_list = selectPossibleIncoming(model, model_name, dict_keys(cardinalities))
- while (0 < list_len(check_list)):
- check_type = set_pop(check_list)
- if (dict_in(cardinalities, check_type)):
- // Cardinalities defined for this association, so check them
- lower_val = cardinalities[check_type]["slc"]
- upper_val = cardinalities[check_type]["suc"]
- instances = list_len(allIncomingAssociationInstances(model, model_name, check_type))
- if (dict_in(cardinalities[check_type], "slc")):
- // A lower cardinality was defined at the source
- if (integer_gt(cardinalities[check_type]["slc"], instances)):
- return "Lower cardinality violation for incoming edge at " + model_name
- if (dict_in(cardinalities[check_type], "suc")):
- // An upper cardinality was defined at the source
- if (integer_lt(cardinalities[check_type]["suc"], instances)):
- return "Upper cardinality violation for incoming edge at " + model_name
- // Check multiplicities, if they are defined (optional)
- Element metamodel_keys
- String metamodel_element
- Integer attr_value
- metamodel_keys = dict_keys(metamodel["model"])
- while (0 < list_len(metamodel_keys)):
- metamodel_element = set_pop(metamodel_keys)
- // Lower multiplicities
- attr_value = read_attribute(metamodel, metamodel_element, "lower_cardinality")
- if (element_neq(attr_value, read_root())):
- // We have defined a lower cardinality, so check number of instances!
- if (attr_value > list_len(allInstances(model, metamodel_element))):
- return "Lower cardinality violated for class: " + metamodel_element
- // Upper multiplicities
- attr_value = read_attribute(metamodel, metamodel_element, "upper_cardinality")
- if (element_neq(attr_value, read_root())):
- // We have defined a lower cardinality, so check number of instances!
- if (attr_value < list_len(allInstances(model, metamodel_element))):
- return "Upper cardinality violated for class: " + metamodel_element
- // Structure seems fine, now do static semantics
- if (dict_in(metamodel, "constraints")):
- Element constraint_function
- constraint_function = metamodel["constraints"]
- return constraint_function(model)
- else:
- return "OK"
- Element function set_model_constraints(model : Element, func : Element):
- if (dict_in(model, "constraints")):
- dict_delete(model, "constraints")
- dict_add(model, "constraints", func)
- return model
- Element function generate_bottom_type_mapping(model : Element):
- Element mm
- mm = model["metamodel"]["model"]
- dict_delete(model, "type_mapping")
- Element tm
- tm = create_node()
- dict_add(model, "type_mapping", tm)
-
- // Iterate over every element
- Element elem_keys
- Element elem
- elem_keys = dict_keys(model["model"])
- while (0 < read_nr_out(elem_keys)):
- elem = model["model"][set_pop(elem_keys)]
- if (is_edge(elem)):
- dict_add(tm, elem, mm["Edge"])
- else:
- dict_add(tm, elem, mm["Node"])
- return model
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