modelverse/bootstrap/conformance_scd.alc

include "primitives.alh"
include "library.alh"
include "object_operations.alh"
include "constructors.alh"
include "modelling.alh"

Boolean function is_direct_instance(model : Element, instance : Element, type : Element):
	// 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"], instance), type)

Boolean function is_nominal_instance(model : Element, instance : Element, type : Element):
	if (bool_not(set_in_node(model["metamodel"]["model"], type))):
		// type is not even in the specified metamodel, so this will never work
		return False

	return is_nominal_subtype(model["metamodel"], dict_read_node(model["type_mapping"], instance), type)

Boolean function is_nominal_subtype(metamodel : Element, subclass : Element, superclass : Element):
	if (element_eq(subclass, superclass)):
		return True

	Element superclasses
	Element new_superclass
	Element result

	superclasses = get_superclasses(metamodel, subclass)

	while (0 < list_len(superclasses)):
		new_superclass = set_pop(superclasses)
		result = is_nominal_subtype(metamodel, new_superclass, superclass)
		if (result):
			return True
	
	return False

Boolean function is_structural_instance(model : Element, instance : Element, type : Element):
	return is_structural_subtype(dict_read_node(model["type_mapping"], instance), type)
	
Boolean function is_structural_subtype(subtype : Element, supertype : Element):
	// Determine whether it is just the exact type or not
	if (element_eq(subtype, supertype)):
		return True

	// Find all links that are required (name and type) from the specified type
	Element required_keys
	required_keys = dict_keys(supertype)
	Integer required_keys_len
	required_keys_len = dict_len(required_keys)

	String key
	Element equivalent
	Integer i
	i = 0

	// Go over all keys that we require
	while (i < required_keys_len):
		key = set_pop(required_keys)
		// Check whether they exist in the instance
		if (dict_in(subtype, key)):
			// Normally, we should still check whether they don't violate the constraints imposed on the class (i.e., are actually present)
			// For now, we ignore this and simply require that it is always there in the metamodel (not necessarily in the instance)
			// TODO

			// Still check whether the types match
			if (bool_not(is_structural_subtype(subtype[key], supertype[key]))):
				return False

			// All clear, so pass on to the next attribute
			i = i + 1
		else:
			return False

	// No violations found, so OK
	return True

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, metamodel["model"][key], scd["model"]["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):
					log("Found cardinalities for " + key)
					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, element, dict_read_node(typing, element)))):
				return "Element is not an instance of its specified type: " + model_name

			if (is_edge(element)):
				src_model = read_edge_src(element)
				dst_model = read_edge_dst(element)
				src_metamodel = read_edge_src(dict_read_node(typing, element))
				dst_metamodel = 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

			// 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)):
				log("Check cardinalities for " + model_name)
				check_type = set_pop(check_list)
				if (dict_in(cardinalities, check_type)):
					log("Target Got some cardinalities to check!")
					// Cardinalities defined for this association, so check them
					lower_val = cardinalities[check_type]["tlc"]
					upper_val = cardinalities[check_type]["tuc"]
					log("Read instances for " + cast_e2s(model_name))
					log("  of " + cast_e2s(check_type))
					instances = list_len(allOutgoingAssociationInstances(model, model_name, check_type))
					log("Instances: " + cast_i2s(instances))
					if (dict_in(cardinalities[check_type], "tlc")):
						// A lower cardinality was defined at the target
						log("TLC Compare with " + cast_i2s(instances))
						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
						log("TUC Compare with " + cast_i2s(instances))
						if (integer_gt(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)):
				log("Check cardinalities for " + model_name)
				check_type = set_pop(check_list)
				log(cast_e2s(check_type))
				if (dict_in(cardinalities, check_type)):
					log("Source Got some cardinalities to check!")
					// 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))
					log("Instances: " + cast_i2s(list_len(instances)))
					if (dict_in(cardinalities[check_type], "slc")):
						// A lower cardinality was defined at the source
						log("SLC Compare with " + cast_i2s(instances))
						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
						log("SUC Compare with " + cast_i2s(instances))
						if (integer_gt(cardinalities[check_type]["suc"], instances)):
							return "Upper cardinality violation for incoming edge at " + model_name
			log("Done for " + 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["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["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