modelverse/bootstrap/model_management.alc

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

Element function model_fuse(models : Element):
	Element new_model
	Element tagged_model
	String model_name
	Element model
	Element keys
	Element second_keys
	String key
	Element selected_MM
	String type
	Element reverse

	// Read out some data first
	tagged_model = set_pop(models)
	set_add(models, tagged_model)
	new_model = instantiate_model(tagged_model[1]["metamodel"])

	// Do the iteration
	while (read_nr_out(models) > 0):
		tagged_model = set_pop(models)
		model_name = string_join(list_read(tagged_model, 0), "/")
		model = list_read(tagged_model, 1)

		reverse = make_reverse_dictionary(model["model"])

		// Add all elements from 'model', but prepend it with the 'model_name'
		keys = dict_keys(model["model"])
		second_keys = create_node()

		while (read_nr_out(keys) > 0):
			key = set_pop(keys)
			type = read_type(model, key)

			if (is_edge(model["model"][key])):
				String src
				String dst
				src = string_join(model_name, reverse[cast_id2s(read_edge_src(model["model"][key]))])
				dst = string_join(model_name, reverse[cast_id2s(read_edge_dst(model["model"][key]))])
				if (bool_and(dict_in(new_model["model"], src), dict_in(new_model["model"], dst))):
					instantiate_link(new_model, type, model_name + key, src, dst)
				else:
					set_add(second_keys, key)
			elif (has_value(model["model"][key])):
				instantiate_value(new_model, type, model_name + key, model["model"][key])
			else:
				instantiate_node(new_model, type, model_name + key)

			if (read_nr_out(keys) == 0):
				keys = second_keys
				second_keys = create_node()

	return new_model!

Element function model_copy(src_model : Element):
	Element dst_model
	Element name
	Element keys
	Element second_keys
	String type

	Element reverse
	reverse = make_reverse_dictionary(src_model["model"])

	dst_model = instantiate_model(src_model["metamodel"])
	keys = dict_keys(src_model["model"])
	second_keys = create_node()

	while (read_nr_out(keys) > 0):
		name = set_pop(keys)

		if (is_edge(src_model["model"][name])):
			// Is an edge, so potentially queue it
			String src
			String dst

			src = reverse[cast_id2s(read_edge_src(src_model["model"][name]))]
			dst = reverse[cast_id2s(read_edge_dst(src_model["model"][name]))]

			type = read_type(src_model, name)

			if (bool_and(dict_in(dst_model["model"], src), dict_in(dst_model["model"], dst))):
				// All present, so create the link between them
				instantiate_link(dst_model, type, name, src, dst)
			else:
				set_add(second_keys, name)

		elif (has_value(src_model["model"][name])):
			// Has a value, so copy that as well
			type = read_type(src_model, name)
			instantiate_value(dst_model, type, name, src_model["model"][name])

		else:
			// Is a node
			type = read_type(src_model, name)
			instantiate_node(dst_model, type, name)

		if (read_nr_out(keys) == 0):
			keys = second_keys
			second_keys = create_node()

	return dst_model!

Element function model_retype_on_name(model : Element, new_MM : Element, operation : String, name : String):
	String key
	String type
	Element keys
	Integer length

	keys = dict_keys(model["model"])
	length = string_len(name)

	while (read_nr_out(keys) > 0):
		key = set_pop(keys)
		if (dict_in(model["model"], key)):
			// Check if the element is still there, as a delete of a node might remove all attached links automatically
			type = read_type(model, key)

			if (operation == "+"):
				// Keep all, but augment typename
				dict_delete(model["type_mapping"], key)
				dict_add_fast(model["type_mapping"], key, name + type)
			elif (operation == "-"):
				// Keep only if typename beginning matches and remove from typename
				if (string_startswith(type, name)):
					dict_delete(model["type_mapping"], key)
					dict_add_fast(model["type_mapping"], key, string_substr(type, length, string_len(type)))
				else:
					model_delete_element(model, key)

	dict_delete(model, "metamodel")
	dict_add_fast(model, "metamodel", new_MM)

	return model!

Element function model_join(models : Element, metamodel : Element, tracability_model : Element):
	Element new_model
	Element tagged_model
	String retyping_key
	Element elem_map
	Element model
	Element keys
	String new_name
	Element second_keys
	String src
	String dst
	String key
	String type

	new_model = instantiate_model(metamodel)
	elem_map = create_node()

	// Do the iteration
	while (read_nr_out(models) > 0):
		tagged_model = set_pop(models)
		retyping_key = string_join(list_read(tagged_model, 0), "/")
		model = list_read(tagged_model, 1)

		// Add all elements from 'model'
		keys = dict_keys(model["model"])
		second_keys = create_node()

		while (read_nr_out(keys) > 0):
			// Copy the new element
			key = set_pop(keys)
			type = read_type(model, key)

			if (is_edge(model["model"][key])):
				src = cast_id2s(read_edge_src(model["model"][key]))
				dst = cast_id2s(read_edge_dst(model["model"][key]))
				if (bool_and(dict_in(elem_map, src), dict_in(elem_map, dst))):
					new_name = instantiate_link(new_model, retyping_key + type, key, elem_map[src], elem_map[dst])
				else:
					set_add(second_keys, key)
					new_name = ""
			elif (has_value(model["model"][key])):
				new_name = instantiate_value(new_model, retyping_key + type, key, model["model"][key])
			else:
				new_name = instantiate_node(new_model, retyping_key + type, key)

			if (new_name != ""):
				// Add the new name to a map which registers the mapping to the new name
				dict_add_fast(elem_map, cast_id2s(model["model"][key]), new_name)

			if (read_nr_out(keys) == 0):
				keys = second_keys
				second_keys = create_node()

	// Now link in the tracability model
	// Go over all TracabilityLink elements and connect them in the merged model as well

	if (element_neq(tracability_model, read_root())):
		Element tracability_links
		String tracability_link
		String new_name_src
		String new_name_dst

		tracability_links = allInstances(tracability_model, "TracabilityLink")

		while (read_nr_out(tracability_links) > 0):
			tracability_link = set_pop(tracability_links)

			// Get necessary information from the tracability link

			new_name_src = elem_map[cast_id2s(read_edge_src(tracability_model["model"][tracability_link]))]
			new_name_dst = elem_map[cast_id2s(read_edge_dst(tracability_model["model"][tracability_link]))]
			type = read_attribute(tracability_model, tracability_link, "type")

			// Connect the two with the info we have
			new_name = instantiate_link(new_model, type, "", new_name_src, new_name_dst)

			if (new_name == ""):
				log("ERROR: could not create a tracability link; ignoring")

	return new_model!
	
Element function model_split(merged_model : Element, models : Element, tracability : Boolean):
	if (read_nr_out(models) == 0):
		// No results needed, so stop immediately unless tracability is True
		if (bool_not(tracability)):
			return create_node()!

	Element result
	Element metamodel
	Element model_tuple
	Element tracability_model
	Element keys
	String key
	String src
	String dst
	Element reverse
	Element mapping
	String retyping_key
	String original_type
	Element elem
	Element second_keys
	String type
	Element splitted
	String source
	String target
	String link
	String src_name
	String dst_name

	result = create_node()
	tracability_model = instantiate_model(import_node("models/Tracability"))
	reverse = make_reverse_dictionary(merged_model["model"])
	mapping = create_node()
	second_keys = create_node()

	while (read_nr_out(models) > 0):
		model_tuple = set_pop(models)
		retyping_key = model_tuple[0]
		metamodel = model_tuple[1]
		dict_add_fast(result, retyping_key, instantiate_model(metamodel))

	keys = dict_keys(merged_model["model"])
	while (read_nr_out(keys) > 0):
		key = set_pop(keys)
		elem = merged_model["model"][key]
		type = read_type(merged_model, key)
		splitted = string_split(type, "/")

		if (list_len(splitted) == 1):
			// Only one, so no split possible
			// Indicates a tracability element!
			if (bool_and(tracability, is_edge(elem))):
				// Got a tracability link!
				// Is always an edge (for now?)
				// Find out source and target and hope that they are already present
				log("Create tracability link in model!")
				src = reverse[cast_id2s(read_edge_src(elem))]
				dst = reverse[cast_id2s(read_edge_dst(elem))]

				src_name = list_read(string_split(read_type(merged_model, src), "/"), 0)
				dst_name = list_read(string_split(read_type(merged_model, dst), "/"), 0)

				log("Source model name: " + cast_v2s(src_name))
				log("Destination model name: " + cast_v2s(dst_name))
				log("Result: " + dict_to_string(result))

				// Check if we actually keep both models around, as otherwise it is useless anyway
				if (bool_and(dict_in(result, src_name), dict_in(result, dst_name))):
					if (bool_and(dict_in(mapping, src), dict_in(mapping, dst))):
						// All present, so create the link between them
						Element src_model
						Element dst_model

						src_model = result[src_name]
						dst_model = result[dst_name]

						source = reuse_element(tracability_model, "Reference", "", src_model["model"][mapping[src]])
						target = reuse_element(tracability_model, "Reference", "", dst_model["model"][mapping[dst]])

						link = instantiate_link(tracability_model, "TracabilityLink", "", source, target)
						instantiate_attribute(tracability_model, link, "type", type)
					else:
						// Not yet available!
						set_add(second_keys, key)
		else:
			retyping_key = splitted[0]

			if (dict_in(result, retyping_key)):
				original_type = splitted[1]

				if (is_edge(elem)):
					// Is an edge, so potentially queue it
					src = reverse[cast_id2s(read_edge_src(elem))]
					dst = reverse[cast_id2s(read_edge_dst(elem))]

					if (bool_and(dict_in(mapping, src), dict_in(mapping, dst))):
						// All present, so create the link between them
						// Though we first check the model to which it was mapped, as this should be the same as we have now
						if (bool_and(dict_in(result[retyping_key]["model"], mapping[src]), dict_in(result[retyping_key]["model"], mapping[dst]))):
							// The matching worked fine
							dict_add_fast(mapping, key, instantiate_link(result[retyping_key], original_type, "", mapping[src], mapping[dst]))
						else:
							log("ERROR mapping: source/target mapped to model, but not found in expected model; ignoring")
					else:
						// Still source or destination in the queue, so we wait for that
						set_add(second_keys, key)

				elif (has_value(elem)):
					// Has a value, so copy that as well
					dict_add_fast(mapping, key, instantiate_value(result[retyping_key], original_type, "", elem))

				else:
					// Is a node
					dict_add_fast(mapping, key, instantiate_node(result[retyping_key], original_type, ""))

		if (read_nr_out(keys) == 0):
			keys = second_keys
			second_keys = create_node()

	// Finally, we also add tracability information as a separate model
	if (tracability):
		dict_add_fast(result, "__tracability", tracability_model)
		log("Tracability model created with # links = " + cast_v2s(read_nr_out(tracability_model["model"])))

	return result!