modelverse/integration/code/pn_interface.alc

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

Element function pn_operations():
	Element ops
	ops = create_node()
	dict_add(ops, "fire", petrinet_fire)
	dict_add(ops, "enabled", petrinet_enabled)
	return ops

Element function petrinet_enabled(model : Element):
	Element set_enabled
	set_enabled = petrinet_enabled_set(model)
	output("Enabled transitions:")
	while (0 < read_nr_out(set_enabled)):
		output(getName(model, set_pop(set_enabled)))
	return model

Element function petrinet_enabled_set(model : Element):
	Element all_transitions
	all_transitions = allInstances(model, model["metamodel"]["model"]["Transition"])

	Element enabled_transitions
	enabled_transitions = create_node()

	Element under_study
	Element in_arcs
	Element arc_under_study
	Boolean enabled
	while (0 < read_nr_out(all_transitions)):
		under_study = set_pop(all_transitions)
		enabled = True

		// Find all incoming transitions
		in_arcs = allIncomingAssociationInstances(model, under_study, model["metamodel"]["model"]["P2T"])

		while (0 < read_nr_out(in_arcs)):
			arc_under_study = set_pop(in_arcs)

			Integer present_tokens
			Integer required_tokens
			required_tokens = readAttribute(model, arc_under_study, "weight")
			present_tokens = readAttribute(model, read_edge_src(arc_under_study), "tokens")
			if (present_tokens < required_tokens):
				// Less tokens than required, so disable the transition completely
				enabled = False

		if (enabled):
			set_add(enabled_transitions, under_study)

	return enabled_transitions

Element function petrinet_fire(model : Element):
	output("Transition to fire?")
	Element transition
	transition = input()
	if (dict_in(model["model"], transition)):
		transition = model["model"][transition]
		if (set_in(petrinet_enabled_set(model), transition)):
			Element workset
			Element working_place
			Element working_arc
			Integer new_value

			// Consume tokens
			workset = allIncomingAssociationInstances(model, transition, model["metamodel"]["model"]["P2T"])
			while (0 < read_nr_out(workset)):
				working_arc = set_pop(workset)
				working_place = read_edge_src(working_arc)
				new_value = integer_subtraction(readAttribute(model, working_place, "tokens"), readAttribute(model, working_arc, "weight"))
				unset_attribute(model, getName(model, working_place), "tokens")
				instantiate_attribute(model, getName(model, working_place), "tokens", new_value)
				//setAttribute(model, working_place, "tokens", integer_subtraction(readAttribute(model, working_place, "tokens"), readAttribute(model, working_arc, "weight")))
				output((("  " + getName(model, working_place)) + ": ") + cast_i2s(readAttribute(model, working_place, "tokens")))

			// Add tokens
			workset = allOutgoingAssociationInstances(model, transition, model["metamodel"]["model"]["T2P"])
			while (0 < read_nr_out(workset)):
				working_arc = set_pop(workset)
				working_place = read_edge_dst(working_arc)
				new_value = integer_addition(readAttribute(model, working_place, "tokens"), readAttribute(model, working_arc, "weight"))
				unset_attribute(model, getName(model, working_place), "tokens")
				instantiate_attribute(model, getName(model, working_place), "tokens", new_value)
				//setAttribute(model, working_place, "tokens", integer_addition(readAttribute(model, working_place, "tokens"), readAttribute(model, working_arc, "weight")))
				output((("  " + getName(model, working_place)) + ": ") + cast_i2s(readAttribute(model, working_place, "tokens")))
			output("Transition fired!")
		else:
			output("Cannot fire if not enabled; aborting")
	else:
		output("Unknown transition; aborting")
	return model
	
Element function petrinet_loaded(model : Element):
	String cmd

	Element attr_list_pn
	Element attr_keys_pn
	String attr_key_pn
	Element metamodel_element_pn
	String typename
	Boolean bottom
	Element other_metamodel

	bottom = False
	other_metamodel = create_node()
	dict_add(other_metamodel, "model", model["model"])
	dict_add(other_metamodel, "type_mapping", create_node())
	dict_add(other_metamodel, "metamodel", import_node("models/LTM_bottom"))
	dict_add(other_metamodel, "inheritance", other_metamodel["metamodel"]["model"]["__Inheritance"])

	output("Model loaded, ready for commands!")
	output("Use 'help' command for a list of possible commands")

	while (True):
		output("Please give your command.")
		cmd = input()
		if (cmd == "help"):
			output("Generic model operations:")
			output("  instantiate -- Create a new model element")
			output("  delete      -- Delete an existing element")
			output("  modify      -- Modify attribute of an existing element")
			output("  rename      -- Rename an existing element")
			output("  list        -- Prints the list of elements in the model")
			output("  types       -- Prints the list of elements that can be instantiated")
			output("  read        -- Prints the current state of a model element")
			output("  verify      -- Check whether the model conforms to the metamodel")
			output("  retype      -- Change the type of an element")
			output("  switch      -- Switch between conformance bottom and the linguistic metamodel")
			output("  exit        -- Unload the model and go back to the loading prompt")
			if (bool_not(bottom)):
				output("Model-specific operations:")
				Element specific_ops
				specific_ops = dict_keys(pn_operations())
				String specific_op
				while (0 < dict_len(specific_ops)):
					specific_op = set_pop(specific_ops)
					output("  " + specific_op)
		elif (cmd == "exit"):
			return model
		elif (cmd == "instantiate"):
			String mm_type_name
			output("Type to instantiate?")
			mm_type_name = input()
			if (dict_in(model["metamodel"]["model"], mm_type_name)):
				metamodel_element_pn = model["metamodel"]["model"][mm_type_name]
				String element_name
				output("Name of new element?")
				element_name = input()
				if (dict_in(model["model"], element_name)):
					output("Element already exists; aborting")
				else:
					Boolean cnt
					cnt = True
					Element additional_opts
					additional_opts = create_node()
					if (is_edge(metamodel_element_pn)):
						output("Source name?")
						String src_name
						src_name = input()
						if (dict_in(model["model"], src_name)):
							list_append(additional_opts, model["model"][src_name])
							output("Destination name?")
							String dst_name
							dst_name = input()
							if (dict_in(model["model"], dst_name)):
								list_append(additional_opts, model["model"][dst_name])
							else:
								output("Unknown destination; aborting")
								cnt = False
						else:
							output("Unknown source; aborting")
							cnt = False
					if (has_value(metamodel_element_pn)):
						// It is a value
						output("Value?")
						list_append(additional_opts, input())
					if (cnt):
						//attr_list_pn = getAttributeList(model, metamodel_element_pn)
						//attr_keys_pn = dict_keys(attr_list_pn)
						//Element attrs
						//attrs = create_node()
						//while (0 < read_nr_out(attr_keys_pn)):
						//	attr_key_pn = set_pop(attr_keys_pn)
						//	output(((attr_key_pn + " : ") + cast_e2s(attr_list_pn[attr_key_pn])) + "?")
						//	dict_add(attrs, attr_key_pn, input())
						//Element resulting_element
						//resulting_element = instantiate_model_lib(model, metamodel_element_pn, element_name, additional_opts, create_node(), attrs)
						output("Instantiation successful!")
			else:
				output("Unknown type specified; aborting")
		elif (cmd == "delete"):
			output("What is the name of the element you want to delete?")
			cmd = input()
			if (dict_in(model["model"], cmd)):
				delete_element(model["model"][cmd])
				output("Deleted!")
			else:
				output("No such element; aborting")
		elif (cmd == "modify"):
			output("Element to modify?")
			cmd = input()
			if (dict_in(model["model"], cmd)):
				Element mod
				mod = model["model"][cmd]
				metamodel_element_pn = dict_read_node(model["type_mapping"], mod)

				attr_list_pn = getAttributeList(model, metamodel_element_pn)
				attr_keys_pn = dict_keys(attr_list_pn)
				while (0 < read_nr_out(attr_keys_pn)):
					attr_key_pn = set_pop(attr_keys_pn)
					output((("   " + attr_key_pn) + " : ") + cast_e2s(attr_list_pn[attr_key_pn]))

				output("Attribute to modify?")
				String attr_name
				attr_name = input()
				if (set_in(dict_keys(getAttributeList(model, metamodel_element_pn)), attr_name)):
					output("New value?")
					//setAttribute(model, mod, attr_name, input())
					output("Modified!")
				else:
					output("Unknown attribute; aborting")
			else:
				output("Element does not exist; aborting")
		elif (cmd == "rename"):
			output("Old name?")
			String old_name_e
			old_name_e = input()
			if (dict_in(model["model"], old_name_e)):
				output("New name?")
				String new_name_e
				new_name_e = input()
				if (dict_in(model["model"], new_name_e)):
					output("New name already used; aborting")
				else:
					dict_add(model["model"], new_name_e, model["model"][old_name_e])
					dict_delete(model["model"], old_name_e)
					output("Rename complete!")
			else:
				output("Unknown element; aborting")
		elif (cmd == "list"):
			Element keys_m
			keys_m = dict_keys(model["model"])
			output("List of all elements:")
			String v_m
			while (read_nr_out(keys_m) > 0):
				v_m = set_pop(keys_m)
				// Filter out anonymous objects
				typename = getName(model["metamodel"], dict_read_node(model["type_mapping"], model["model"][v_m]))
				if (bool_not(string_startswith(v_m, "__"))):
					output((("  " + v_m) + " : ") + typename)
		elif (cmd == "read"):
			output("Element to read?")
			cmd = input()
			if (dict_in(model["model"], cmd)):
				Element read_elem
				read_elem = model["model"][cmd]
				metamodel_element_pn = dict_read_node(model["type_mapping"], read_elem)

				output("Name: " + cmd)
				output("Type: " + getName(model["metamodel"], metamodel_element_pn))
				if (is_edge(read_elem)):
					output("Source: " + getName(model, read_edge_src(read_elem)))
					output("Destination: " + getName(model, read_edge_dst(read_elem)))
				if (cast_v2s(read_elem) != "None"):
					output("Value: " + cast_v2s(read_elem))
				output("Defines attributes:")
				attr_list_pn = getInstantiatableAttributes(model, read_elem)
				attr_keys_pn = dict_keys(attr_list_pn)
				while (0 < read_nr_out(attr_keys_pn)):
					attr_key_pn = set_pop(attr_keys_pn)
					output(((("   " + attr_key_pn) + " : ") + cast_e2s(attr_list_pn[attr_key_pn])))
				output("Attributes:")
				attr_list_pn = getAttributeList(model, metamodel_element_pn)
				attr_keys_pn = dict_keys(attr_list_pn)
				while (0 < read_nr_out(attr_keys_pn)):
					attr_key_pn = set_pop(attr_keys_pn)
					output((((("   " + attr_key_pn) + " : ") + cast_e2s(attr_list_pn[attr_key_pn])) + " = ") + cast_v2s(readAttribute(model, read_elem, attr_key_pn)))
			else:
				output("Unknown element; aborting")
		elif (cmd == "verify"):
			output(conformance_scd(model))
		elif (cmd == "types"):
			Element keys_t
			keys_t = dict_keys(model["metamodel"]["model"])
			output("List of types:")
			String v_t
			while (read_nr_out(keys_t) > 0):
				v_t = set_pop(keys_t)
				if (bool_not(string_startswith(v_t, "__"))):
					output(string_join(("  " + v_t) + " : ", getName(model["metamodel"]["metamodel"], dict_read_node(model["metamodel"]["type_mapping"], model["metamodel"]["model"][v_t]))))
		elif (cmd == "retype"):
			output("Element to retype?")
			String elementname
			elementname = input()
			if (dict_in(model["model"], elementname)):
				output("New type")
				typename = input()
				if (dict_in(model["metamodel"]["model"], typename)):
					// OK, do the retyping
					// First try removing the previous type if it exists
					dict_delete(model["type_mapping"], model["model"][elementname])
					// Now add the new type
					dict_add(model["type_mapping"], model["model"][elementname], model["metamodel"]["model"][typename])
					output("Retyped!")
				else:
					output("Unknown type; aborting")
			else:
				output("Unknown element; aborting")
		elif (cmd == "switch"):
			bottom = bool_not(bottom)

			Element tmp_model
			tmp_model = model
			model = other_metamodel
			other_metamodel = tmp_model

			if (bottom):
				// The type mapping we are using is probably not complete for our model
				// so we completely recreate it from the model we have.
				output("Switching to conformance bottom mode!")
				generate_bottom_type_mapping(model)
			else:
				// We already switched the models and such, so we are already done!
				output("Switching to linguistic metamodel!")
		elif (bool_and(dict_in(pn_operations(), cmd), bool_not(bottom))):
			// A model-specific operation, so execute that one
			Element specific_op
			specific_op = dict_read(pn_operations(), cmd)
			specific_op(model)
		else:
			output("Unknown command; aborting")
			output("Use command 'help' to get a list of available commands")

Element function initial_prompt():
	output("Welcome to the Model Management Interface, running live on the Modelverse!")
	output("Use 'help' command for a list of possible commands")
	String command
	Element root
	Element metamodel
	String name
	Element my_model
	String mm_name

	root = create_metamodels()

	while (True):
		output("Please give your command.")
		command = input()

		if (command == "help"):
			output("Currently no model is loaded, so your operations are limited to:")
			output("  new    -- Create a new model and save it for future use")
			output("  load   -- Load a previously made model")
			output("  rename -- Rename a previously made model")
			output("  delete -- Delete a previously made model")
			output("  list   -- Show a list of all stored models")
			output("  help   -- Show a list of possible commands")
		elif (command == "new"):
			output("Metamodel to instantiate?")
			mm_name = input()
			if (dict_in(root, mm_name)):
				output("Name of model?")
				name = input()
				if (dict_in(root, name)):
					output("Model exists; aborting")
				else:
					//my_model = instantiate_new_model(root[mm_name], create_node())
					//dict_add(root, name, my_model)
					petrinet_loaded(my_model)
			else:
				output("Unknown metamodel; aborting")
		elif (command == "load"):
			output("Model to load?")
			name = input()
			if (dict_in(root, name)):
				my_model = root[name]
				petrinet_loaded(my_model)
			else:
				output("Model not found; aborting")
		elif (command == "list"):
			Element keys
			String m_menu_list
			keys = dict_keys(root)
			output("Found models:")
			while (read_nr_out(keys) > 0):
				m_menu_list = set_pop(keys)
				output((("  " + m_menu_list) + " : ") + reverseNameLookup(root, root[m_menu_list]["metamodel"]))
		elif (command == "delete"):
			output("Model to delete?")
			name = input()
			if (dict_in(root, name)):
				dict_delete(root, name)
				output("Deleted!")
			else:
				output("Model not found; aborting")
		elif (command == "rename"):
			output("Old name?")
			String old_name
			old_name = input()
			if (dict_in(root, old_name)):
				output("New name?")
				String new_name
				new_name = input()
				if (dict_in(root, new_name)):
					output("Model exists; aborting")
				else:
					dict_add(root, new_name, root[old_name])
					dict_delete(root, old_name)
					output("Rename complete!")
			else:
				output("Model not found; aborting")
		else:
			output("Command not recognized, use 'help' for a list of possible commands")

Void function main():
	initial_prompt()