Rewriter: deleting elements works

This commit is contained in:
Joeri Exelmans 2024-09-11 11:04:44 +02:00
parent 99bcf9a542
commit f12fd8bd6c
5 changed files with 157 additions and 120 deletions

View file

@ -7,6 +7,7 @@ from services.scd import SCD
from framework.conformance import Conformance
from services.od import OD
from transformation.ramify import ramify
from transformation import rewriter
from services.bottom.V0 import Bottom
from services.primitives.integer_type import Integer
from pattern_matching import mvs_adapter
@ -23,119 +24,108 @@ def create_integer_node(state, i: int):
def main():
state = DevState()
root = state.read_root() # id: 0
scd_node = bootstrap_scd(state)
scd_node2 = state.read_dict(root, "SCD")
# print(root, scd_node, scd_node2)
def print_tree(root, max_depth, depth=0):
print(" "*depth, "root=", root, "value=", state.read_value(root))
src,tgt = state.read_edge(root)
if src != None:
print(" "*depth, "src...")
print_tree(src, max_depth, depth+1)
if tgt != None:
print(" "*depth, "tgt...")
print_tree(tgt, max_depth, depth+1)
for edge in state.read_outgoing(root):
for edge_label in state.read_outgoing(edge):
[_,tgt] = state.read_edge(edge_label)
label = state.read_value(tgt)
print(" "*depth, " key:", label)
[_, tgt] = state.read_edge(edge)
value = state.read_value(tgt)
if value != None:
print(" "*depth, " ->", tgt, " (value:", value, ")")
else:
print(" "*depth, " ->", tgt)
if depth < max_depth:
if isinstance(value, str) and len(value) == 36:
i = None
try:
i = UUID(value)
except ValueError as e:
# print("invalid UUID:", value)
pass
if i != None:
print_tree(i, max_depth, depth+1)
print_tree(tgt, max_depth, depth+1)
scd_mm_id = bootstrap_scd(state)
int_mm_id = UUID(state.read_value(state.read_dict(state.read_root(), "Integer")))
string_mm_id = UUID(state.read_value(state.read_dict(state.read_root(), "String")))
print("explore...")
# print_tree(root, 2)
# def print_tree(root, max_depth, depth=0):
# print(" "*depth, "root=", root, "value=", state.read_value(root))
# src,tgt = state.read_edge(root)
# if src != None:
# print(" "*depth, "src...")
# print_tree(src, max_depth, depth+1)
# if tgt != None:
# print(" "*depth, "tgt...")
# print_tree(tgt, max_depth, depth+1)
# for edge in state.read_outgoing(root):
# for edge_label in state.read_outgoing(edge):
# [_,tgt] = state.read_edge(edge_label)
# label = state.read_value(tgt)
# print(" "*depth, " key:", label)
# [_, tgt] = state.read_edge(edge)
# value = state.read_value(tgt)
# if value != None:
# print(" "*depth, " ->", tgt, " (value:", value, ")")
# else:
# print(" "*depth, " ->", tgt)
# if depth < max_depth:
# if isinstance(value, str) and len(value) == 36:
# i = None
# try:
# i = UUID(value)
# except ValueError as e:
# # print("invalid UUID:", value)
# pass
# if i != None:
# print_tree(i, max_depth, depth+1)
# print_tree(tgt, max_depth, depth+1)
int_type_id = state.read_dict(state.read_root(), "Integer")
int_type = UUID(state.read_value(int_type_id))
string_type_id = state.read_dict(state.read_root(), "String")
string_type = UUID(state.read_value(string_type_id))
# scd2 = SCD(scd_node, state)
# for el in scd2.list_elements():
# print(el)
model_id = state.create_node()
scd = SCD(model_id, state)
scd.create_class("Abstract", abstract=True)
scd.create_class("A", min_c=1, max_c=2)
scd.create_inheritance("A", "Abstract")
scd.create_model_ref("Integer", int_type)
scd.create_attribute_link("A", "Integer", "size", False)
scd.create_class("B")
scd.create_association("A2B", "A", "B",
src_min_c=1,
src_max_c=1,
# Meta-model for our DSL
dsl_mm_id = state.create_node()
dsl_mm_scd = SCD(dsl_mm_id, state)
dsl_mm_scd.create_class("Animal", abstract=True)
dsl_mm_scd.create_class("Man", min_c=1, max_c=2)
dsl_mm_scd.create_inheritance("Man", "Animal")
dsl_mm_scd.create_model_ref("Integer", int_mm_id)
dsl_mm_scd.create_attribute_link("Man", "Integer", "weight", optional=False)
dsl_mm_scd.create_class("Bear")
dsl_mm_scd.create_inheritance("Bear", "Animal")
dsl_mm_scd.create_association("afraidOf", "Man", "Animal",
# Every Man afraid of at least one Animal:
src_min_c=0,
src_max_c=None,
tgt_min_c=1,
tgt_max_c=2,
tgt_max_c=None,
)
# print_tree(model_id, 3)
conf = Conformance(state, dsl_mm_id, scd_mm_id)
print("conforms?", conf.check_nominal(log=True))
# Model in our DSL
dsl_m_id = state.create_node()
dsl_m_od = OD(dsl_mm_id, dsl_m_id, state)
conf = Conformance(state, model_id, scd_node)
print("Check nominal conformance...")
print(conf.check_nominal(log=True))
# print("Check structural conformance...")
# print(conf.check_structural(log=True))
# print("Check nominal conformance (again)...")
# print(conf.check_nominal(log=True))
dsl_m_od.create_object("george", "Man")
dsl_m_od.create_object("bear1", "Bear")
dsl_m_od.create_object("bear2", "Bear")
dsl_m_od.create_link("georgeAfraidOfBear1", "afraidOf", "george", "bear1")
dsl_m_od.create_link("georgeAfraidOfBear2", "afraidOf", "george", "bear2")
inst_id = state.create_node()
od = OD(model_id, inst_id, state)
dsl_m_od.create_slot("weight", "george",
dsl_m_od.create_integer_value("george.weight", 80))
od.create_object("a", "A")
od.create_object("a2", "A")
od.create_object("b", "B")
od.create_link("A2B", "a", "b")
od.create_link("A2B", "a2", "b")
conf2 = Conformance(state, dsl_m_id, dsl_mm_id)
print("Model conforms?", conf2.check_nominal(log=True))
od.create_slot("size", "a", od.create_integer_value("a.size", 42))
od.create_slot("size", "a2", od.create_integer_value("a2.size", 50))
# RAMify MM
ramified_mm_id = ramify(state, dsl_mm_id)
print("checking conformance....")
conf2 = Conformance(state, inst_id, model_id)
print("conforms?", conf2.check_nominal(log=True))
# LHS of our rule
lhs_id = state.create_node()
lhs_od = OD(ramified_mm_id, lhs_id, state)
ramified_MM_id = ramify(state, model_id)
lhs_od.create_object("man", "RAM_Man")
lhs_od.create_slot("RAM_weight", "man", lhs_od.create_string_value("man.RAM_weight", 'v < 99'))
lhs_od.create_object("scaryAnimal", "RAM_Animal")
lhs_od.create_link("manAfraidOfAnimal", "RAM_afraidOf", "man", "scaryAnimal")
pattern_id = state.create_node()
pattern = OD(ramified_MM_id, pattern_id, state)
conf3 = Conformance(state, lhs_id, ramified_mm_id)
print("LHS conforms?", conf3.check_nominal(log=True))
pattern.create_object("pattern_a", "LHS_A")
# pattern.create_slot("constraint", "a1", pattern.create_string_value("a1.constraint", 'read_int(get_slot("LHS_size")) > 50'))
pattern.create_slot("LHS_size", "pattern_a", pattern.create_string_value("pattern_a.LHS_size", 'v < 99'))
# pattern.create_object("a2", "A")
# pattern.create_slot("size", "a2", pattern.create_string_value("a2.size", '99'))
# RHS of our rule
rhs_id = state.create_node()
rhs_od = OD(ramified_mm_id, rhs_id, state)
pattern.create_object("pattern_b", "LHS_B")
rhs_od.create_object("man", "RAM_Man")
rhs_od.create_slot("RAM_weight", "man", rhs_od.create_string_value("man.RAM_weight", 'v + 5'))
pattern.create_link("LHS_A2B", "pattern_a", "pattern_b")
conf4 = Conformance(state, rhs_id, ramified_mm_id)
print("RHS conforms?", conf4.check_nominal(log=True))
conf3 = Conformance(state, pattern_id, ramified_MM_id)
print("conforms?", conf3.check_nominal(log=True))
host = mvs_adapter.model_to_graph(state, inst_id, model_id)
guest = mvs_adapter.model_to_graph(state, pattern_id, ramified_MM_id)
# Convert to format understood by matching algorithm
host = mvs_adapter.model_to_graph(state, dsl_m_id, dsl_mm_id)
guest = mvs_adapter.model_to_graph(state, lhs_id, ramified_mm_id)
print("HOST:")
print(host.vtxs)
@ -146,7 +136,7 @@ def main():
print(guest.edges)
print("matching...")
matcher = MatcherVF2(host, guest, mvs_adapter.RAMCompare(Bottom(state), od))
matcher = MatcherVF2(host, guest, mvs_adapter.RAMCompare(Bottom(state), dsl_m_od))
prev = None
for m in matcher.match():
print("\nMATCH:\n", m)
@ -155,8 +145,12 @@ def main():
if isinstance(guest_vtx, mvs_adapter.NamedNode) and isinstance(host_vtx, mvs_adapter.NamedNode):
name_to_matched[guest_vtx.name] = host_vtx.name
print(name_to_matched)
input()
rewriter.rewrite(state, lhs_id, rhs_id, name_to_matched, dsl_m_id)
break
print("DONE")
conf5 = Conformance(state, dsl_m_id, dsl_mm_id)
print("Updated model conforms?", conf5.check_nominal(log=True))
if __name__ == "__main__":
main()

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@ -4,6 +4,7 @@ from services.bottom.V0 import Bottom
from services.scd import SCD
from services.od import OD
from pattern_matching.matcher import Graph, Edge, Vertex
from transformation import ramify
import itertools
import re
import functools
@ -216,16 +217,13 @@ class RAMCompare:
def match_types(self, g_vtx_type, h_vtx_type):
# types only match with their supertypes
# we assume that 'RAMifies'-traceability links have been created between guest and host types
g_vtx_original_types = self.bottom.read_outgoing_elements(g_vtx_type, "RAMifies")
for typ in g_vtx_original_types:
# print(g_vtx, "is ramified")
result = self.is_subtype_of(h_vtx_type, g_vtx_original_types[0])
if result:
return True
else:
# print(g_vtx, "is not ramified")
try:
g_vtx_original_type = ramify.get_original_type(self.bottom, g_vtx_type)
except:
return False
return self.is_subtype_of(h_vtx_type, g_vtx_original_type)
# Memoizing the result of comparison gives a huge performance boost!
# Especially `is_subtype_of` is very slow, and will be performed many times over on the same pair of nodes during the matching process.

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@ -3,6 +3,7 @@ from state.base import State
from services.bottom.V0 import Bottom
from services.primitives.integer_type import Integer
from services.primitives.string_type import String
from typing import Optional
def get_attr_link_name(class_name: str, attr_name: str):
return f"{class_name}_{attr_name}"
@ -37,8 +38,6 @@ class OD:
# 'abstract' is optional attribute, default is False
is_abstract = False
print("class", name, "is abstract?", is_abstract)
if is_abstract:
raise Exception("Cannot instantiate abstract class!")
@ -63,7 +62,7 @@ class OD:
class_name = self.get_class_of_object(object_name)
attr_link_name = get_attr_link_name(class_name, attr_name)
# An attribute-link is indistinguishable from an ordinary link:
return self.create_link(attr_link_name, object_name, target_name)
return self.create_link(None, attr_link_name, object_name, target_name)
def get_slot(self, object_node: UUID, attr_name: str):
# I really don't like how complex and inefficient it is to read an attribute of an object...
@ -106,19 +105,20 @@ class OD:
self.bottom.create_edge(element_node, type_node, "Morphism") # create morphism link
def create_link(self, assoc_name: str, src_obj_name: str, tgt_obj_name: str):
def create_link(self, link_name: Optional[str], assoc_name: str, src_obj_name: str, tgt_obj_name: str):
src_obj_node, = self.bottom.read_outgoing_elements(self.model, src_obj_name)
tgt_obj_node, = self.bottom.read_outgoing_elements(self.model, tgt_obj_name)
link_edge = self.bottom.create_edge(src_obj_node, tgt_obj_node)
# generate a unique name for the link
i = 0;
while True:
link_name = f"{assoc_name}{i}"
if len(self.bottom.read_outgoing_elements(self.model, link_name)) == 0:
break
i += 1
if link_name == None:
i = 0;
while True:
link_name = f"{assoc_name}{i}"
if len(self.bottom.read_outgoing_elements(self.model, link_name)) == 0:
break
i += 1
self.bottom.create_edge(self.model, link_edge, link_name)

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@ -4,8 +4,9 @@ from services.bottom.V0 import Bottom
from services.scd import SCD
from framework.conformance import Conformance
RAMIFIES_LABEL = "RAMifies"
def ramify(state: State, model: UUID, prefix = "LHS_") -> UUID:
def ramify(state: State, model: UUID, prefix = "RAM_") -> UUID:
# def print_tree(root, max_depth, depth=0):
# print(" "*depth, "root=", root, "value=", state.read_value(root))
@ -119,7 +120,7 @@ def ramify(state: State, model: UUID, prefix = "LHS_") -> UUID:
print('creating class', class_name, "with card 0 ..", upper_card)
ramified_class = ramified_scd.create_class(prefix+class_name, abstract=None, max_c=upper_card)
# traceability link
bottom.create_edge(ramified_class, class_node, "RAMifies")
bottom.create_edge(ramified_class, class_node, RAMIFIES_LABEL)
# We don't add a 'label' attribute (as described in literature on RAMification)
# Instead, the names of the objects (which only exist in the scope of the object diagram 'model', and are not visible to the matcher) are used as labels
@ -133,7 +134,7 @@ def ramify(state: State, model: UUID, prefix = "LHS_") -> UUID:
# The string will be a Python expression
ramified_attr_link = ramified_scd._create_attribute_link(prefix+class_name, string_modelref, prefix+attr_name, optional=True)
# traceability link
bottom.create_edge(ramified_attr_link, attr_edge, "RAMifies")
bottom.create_edge(ramified_attr_link, attr_edge, RAMIFIES_LABEL)
associations = scd.get_associations()
for assoc_name, assoc_node in associations.items():
@ -152,7 +153,7 @@ def ramify(state: State, model: UUID, prefix = "LHS_") -> UUID:
src_max_c=src_upper_card,
tgt_max_c=tgt_upper_card)
# traceability link
bottom.create_edge(ramified_assoc, assoc_node, "RAMifies")
bottom.create_edge(ramified_assoc, assoc_node, RAMIFIES_LABEL)
for inh_name, inh_node in scd.get_inheritances().items():
# Re-create inheritance links like in our original model:
@ -169,3 +170,11 @@ def ramify(state: State, model: UUID, prefix = "LHS_") -> UUID:
print("RAMification successful.")
return ramified
# Every RAMified type has a link to its original type
def get_original_type(bottom, typ: UUID):
original_types = bottom.read_outgoing_elements(typ, RAMIFIES_LABEL)
if len(original_types) != 1:
raise Exception("Expected 1 original type, got " + str(len(original_types)))
else:
return original_types[0]

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@ -0,0 +1,36 @@
# Things you can do:
# - Create/delete objects, associations, attributes
# - Change attribute values
# - ? that's it?
from uuid import UUID
from services.bottom.V0 import Bottom
def process_rule(state, lhs: UUID, rhs: UUID):
bottom = Bottom(state)
# : bottom.read_outgoing_elements(rhs, name)[0]
to_delete = { name for name in bottom.read_keys(lhs) if name not in bottom.read_keys(rhs) }
to_create = { name for name in bottom.read_keys(rhs) if name not in bottom.read_keys(lhs) }
print("to_delete:", to_delete)
print("to_create:", to_create)
return to_delete, to_create
def rewrite(state, lhs: UUID, rhs: UUID, match_mapping: dict, model_to_transform: UUID) -> UUID:
bottom = Bottom(state)
to_delete, to_create = process_rule(state, lhs, rhs)
for pattern_name_to_delete in to_delete:
# For every name in `to_delete`, look up the name of the matched element in the host graph
model_element_name_to_delete = match_mapping[pattern_name_to_delete]
print('deleting', model_element_name_to_delete)
# Look up the matched element in the host graph
element_to_delete, = bottom.read_outgoing_elements(model_to_transform, model_element_name_to_delete)
# Delete
bottom.delete_element(element_to_delete)
for pattern_name_to_create in to_create:
pass