Rewriter: deleting elements works
This commit is contained in:
parent
99bcf9a542
commit
f12fd8bd6c
5 changed files with 157 additions and 120 deletions
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@ -7,6 +7,7 @@ from services.scd import SCD
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from framework.conformance import Conformance
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from services.od import OD
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from transformation.ramify import ramify
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from transformation import rewriter
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from services.bottom.V0 import Bottom
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from services.primitives.integer_type import Integer
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from pattern_matching import mvs_adapter
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@ -23,119 +24,108 @@ def create_integer_node(state, i: int):
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def main():
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state = DevState()
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root = state.read_root() # id: 0
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scd_node = bootstrap_scd(state)
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scd_node2 = state.read_dict(root, "SCD")
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# print(root, scd_node, scd_node2)
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def print_tree(root, max_depth, depth=0):
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print(" "*depth, "root=", root, "value=", state.read_value(root))
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src,tgt = state.read_edge(root)
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if src != None:
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print(" "*depth, "src...")
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print_tree(src, max_depth, depth+1)
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if tgt != None:
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print(" "*depth, "tgt...")
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print_tree(tgt, max_depth, depth+1)
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for edge in state.read_outgoing(root):
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for edge_label in state.read_outgoing(edge):
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[_,tgt] = state.read_edge(edge_label)
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label = state.read_value(tgt)
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print(" "*depth, " key:", label)
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[_, tgt] = state.read_edge(edge)
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value = state.read_value(tgt)
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if value != None:
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print(" "*depth, " ->", tgt, " (value:", value, ")")
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else:
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print(" "*depth, " ->", tgt)
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if depth < max_depth:
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if isinstance(value, str) and len(value) == 36:
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i = None
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try:
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i = UUID(value)
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except ValueError as e:
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# print("invalid UUID:", value)
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pass
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if i != None:
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print_tree(i, max_depth, depth+1)
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print_tree(tgt, max_depth, depth+1)
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scd_mm_id = bootstrap_scd(state)
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int_mm_id = UUID(state.read_value(state.read_dict(state.read_root(), "Integer")))
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string_mm_id = UUID(state.read_value(state.read_dict(state.read_root(), "String")))
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print("explore...")
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# print_tree(root, 2)
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# def print_tree(root, max_depth, depth=0):
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# print(" "*depth, "root=", root, "value=", state.read_value(root))
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# src,tgt = state.read_edge(root)
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# if src != None:
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# print(" "*depth, "src...")
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# print_tree(src, max_depth, depth+1)
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# if tgt != None:
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# print(" "*depth, "tgt...")
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# print_tree(tgt, max_depth, depth+1)
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# for edge in state.read_outgoing(root):
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# for edge_label in state.read_outgoing(edge):
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# [_,tgt] = state.read_edge(edge_label)
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# label = state.read_value(tgt)
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# print(" "*depth, " key:", label)
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# [_, tgt] = state.read_edge(edge)
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# value = state.read_value(tgt)
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# if value != None:
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# print(" "*depth, " ->", tgt, " (value:", value, ")")
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# else:
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# print(" "*depth, " ->", tgt)
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# if depth < max_depth:
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# if isinstance(value, str) and len(value) == 36:
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# i = None
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# try:
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# i = UUID(value)
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# except ValueError as e:
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# # print("invalid UUID:", value)
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# pass
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# if i != None:
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# print_tree(i, max_depth, depth+1)
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# print_tree(tgt, max_depth, depth+1)
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int_type_id = state.read_dict(state.read_root(), "Integer")
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int_type = UUID(state.read_value(int_type_id))
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string_type_id = state.read_dict(state.read_root(), "String")
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string_type = UUID(state.read_value(string_type_id))
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# scd2 = SCD(scd_node, state)
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# for el in scd2.list_elements():
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# print(el)
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model_id = state.create_node()
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scd = SCD(model_id, state)
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scd.create_class("Abstract", abstract=True)
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scd.create_class("A", min_c=1, max_c=2)
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scd.create_inheritance("A", "Abstract")
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scd.create_model_ref("Integer", int_type)
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scd.create_attribute_link("A", "Integer", "size", False)
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scd.create_class("B")
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scd.create_association("A2B", "A", "B",
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src_min_c=1,
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src_max_c=1,
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# Meta-model for our DSL
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dsl_mm_id = state.create_node()
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dsl_mm_scd = SCD(dsl_mm_id, state)
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dsl_mm_scd.create_class("Animal", abstract=True)
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dsl_mm_scd.create_class("Man", min_c=1, max_c=2)
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dsl_mm_scd.create_inheritance("Man", "Animal")
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dsl_mm_scd.create_model_ref("Integer", int_mm_id)
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dsl_mm_scd.create_attribute_link("Man", "Integer", "weight", optional=False)
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dsl_mm_scd.create_class("Bear")
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dsl_mm_scd.create_inheritance("Bear", "Animal")
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dsl_mm_scd.create_association("afraidOf", "Man", "Animal",
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# Every Man afraid of at least one Animal:
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src_min_c=0,
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src_max_c=None,
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tgt_min_c=1,
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tgt_max_c=2,
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tgt_max_c=None,
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)
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# print_tree(model_id, 3)
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conf = Conformance(state, dsl_mm_id, scd_mm_id)
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print("conforms?", conf.check_nominal(log=True))
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# Model in our DSL
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dsl_m_id = state.create_node()
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dsl_m_od = OD(dsl_mm_id, dsl_m_id, state)
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conf = Conformance(state, model_id, scd_node)
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print("Check nominal conformance...")
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print(conf.check_nominal(log=True))
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# print("Check structural conformance...")
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# print(conf.check_structural(log=True))
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# print("Check nominal conformance (again)...")
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# print(conf.check_nominal(log=True))
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dsl_m_od.create_object("george", "Man")
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dsl_m_od.create_object("bear1", "Bear")
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dsl_m_od.create_object("bear2", "Bear")
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dsl_m_od.create_link("georgeAfraidOfBear1", "afraidOf", "george", "bear1")
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dsl_m_od.create_link("georgeAfraidOfBear2", "afraidOf", "george", "bear2")
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inst_id = state.create_node()
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od = OD(model_id, inst_id, state)
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dsl_m_od.create_slot("weight", "george",
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dsl_m_od.create_integer_value("george.weight", 80))
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od.create_object("a", "A")
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od.create_object("a2", "A")
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od.create_object("b", "B")
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od.create_link("A2B", "a", "b")
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od.create_link("A2B", "a2", "b")
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conf2 = Conformance(state, dsl_m_id, dsl_mm_id)
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print("Model conforms?", conf2.check_nominal(log=True))
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od.create_slot("size", "a", od.create_integer_value("a.size", 42))
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od.create_slot("size", "a2", od.create_integer_value("a2.size", 50))
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# RAMify MM
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ramified_mm_id = ramify(state, dsl_mm_id)
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print("checking conformance....")
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conf2 = Conformance(state, inst_id, model_id)
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print("conforms?", conf2.check_nominal(log=True))
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# LHS of our rule
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lhs_id = state.create_node()
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lhs_od = OD(ramified_mm_id, lhs_id, state)
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ramified_MM_id = ramify(state, model_id)
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lhs_od.create_object("man", "RAM_Man")
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lhs_od.create_slot("RAM_weight", "man", lhs_od.create_string_value("man.RAM_weight", 'v < 99'))
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lhs_od.create_object("scaryAnimal", "RAM_Animal")
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lhs_od.create_link("manAfraidOfAnimal", "RAM_afraidOf", "man", "scaryAnimal")
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pattern_id = state.create_node()
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pattern = OD(ramified_MM_id, pattern_id, state)
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conf3 = Conformance(state, lhs_id, ramified_mm_id)
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print("LHS conforms?", conf3.check_nominal(log=True))
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pattern.create_object("pattern_a", "LHS_A")
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# pattern.create_slot("constraint", "a1", pattern.create_string_value("a1.constraint", 'read_int(get_slot("LHS_size")) > 50'))
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pattern.create_slot("LHS_size", "pattern_a", pattern.create_string_value("pattern_a.LHS_size", 'v < 99'))
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# pattern.create_object("a2", "A")
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# pattern.create_slot("size", "a2", pattern.create_string_value("a2.size", '99'))
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# RHS of our rule
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rhs_id = state.create_node()
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rhs_od = OD(ramified_mm_id, rhs_id, state)
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pattern.create_object("pattern_b", "LHS_B")
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rhs_od.create_object("man", "RAM_Man")
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rhs_od.create_slot("RAM_weight", "man", rhs_od.create_string_value("man.RAM_weight", 'v + 5'))
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pattern.create_link("LHS_A2B", "pattern_a", "pattern_b")
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conf4 = Conformance(state, rhs_id, ramified_mm_id)
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print("RHS conforms?", conf4.check_nominal(log=True))
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conf3 = Conformance(state, pattern_id, ramified_MM_id)
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print("conforms?", conf3.check_nominal(log=True))
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host = mvs_adapter.model_to_graph(state, inst_id, model_id)
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guest = mvs_adapter.model_to_graph(state, pattern_id, ramified_MM_id)
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# Convert to format understood by matching algorithm
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host = mvs_adapter.model_to_graph(state, dsl_m_id, dsl_mm_id)
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guest = mvs_adapter.model_to_graph(state, lhs_id, ramified_mm_id)
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print("HOST:")
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print(host.vtxs)
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@ -146,7 +136,7 @@ def main():
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print(guest.edges)
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print("matching...")
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matcher = MatcherVF2(host, guest, mvs_adapter.RAMCompare(Bottom(state), od))
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matcher = MatcherVF2(host, guest, mvs_adapter.RAMCompare(Bottom(state), dsl_m_od))
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prev = None
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for m in matcher.match():
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print("\nMATCH:\n", m)
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@ -155,8 +145,12 @@ def main():
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if isinstance(guest_vtx, mvs_adapter.NamedNode) and isinstance(host_vtx, mvs_adapter.NamedNode):
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name_to_matched[guest_vtx.name] = host_vtx.name
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print(name_to_matched)
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input()
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rewriter.rewrite(state, lhs_id, rhs_id, name_to_matched, dsl_m_id)
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break
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print("DONE")
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conf5 = Conformance(state, dsl_m_id, dsl_mm_id)
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print("Updated model conforms?", conf5.check_nominal(log=True))
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if __name__ == "__main__":
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main()
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@ -4,6 +4,7 @@ from services.bottom.V0 import Bottom
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from services.scd import SCD
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from services.od import OD
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from pattern_matching.matcher import Graph, Edge, Vertex
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from transformation import ramify
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import itertools
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import re
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import functools
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@ -216,16 +217,13 @@ class RAMCompare:
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def match_types(self, g_vtx_type, h_vtx_type):
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# types only match with their supertypes
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# we assume that 'RAMifies'-traceability links have been created between guest and host types
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g_vtx_original_types = self.bottom.read_outgoing_elements(g_vtx_type, "RAMifies")
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for typ in g_vtx_original_types:
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# print(g_vtx, "is ramified")
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result = self.is_subtype_of(h_vtx_type, g_vtx_original_types[0])
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if result:
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return True
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else:
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# print(g_vtx, "is not ramified")
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try:
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g_vtx_original_type = ramify.get_original_type(self.bottom, g_vtx_type)
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except:
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return False
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return self.is_subtype_of(h_vtx_type, g_vtx_original_type)
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# Memoizing the result of comparison gives a huge performance boost!
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# 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
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from services.bottom.V0 import Bottom
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from services.primitives.integer_type import Integer
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from services.primitives.string_type import String
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from typing import Optional
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def get_attr_link_name(class_name: str, attr_name: str):
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return f"{class_name}_{attr_name}"
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@ -37,8 +38,6 @@ class OD:
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# 'abstract' is optional attribute, default is False
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is_abstract = False
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print("class", name, "is abstract?", is_abstract)
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if is_abstract:
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raise Exception("Cannot instantiate abstract class!")
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@ -63,7 +62,7 @@ class OD:
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class_name = self.get_class_of_object(object_name)
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attr_link_name = get_attr_link_name(class_name, attr_name)
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# An attribute-link is indistinguishable from an ordinary link:
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return self.create_link(attr_link_name, object_name, target_name)
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return self.create_link(None, attr_link_name, object_name, target_name)
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def get_slot(self, object_node: UUID, attr_name: str):
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# I really don't like how complex and inefficient it is to read an attribute of an object...
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@ -106,13 +105,14 @@ class OD:
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self.bottom.create_edge(element_node, type_node, "Morphism") # create morphism link
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def create_link(self, assoc_name: str, src_obj_name: str, tgt_obj_name: str):
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def create_link(self, link_name: Optional[str], assoc_name: str, src_obj_name: str, tgt_obj_name: str):
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src_obj_node, = self.bottom.read_outgoing_elements(self.model, src_obj_name)
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tgt_obj_node, = self.bottom.read_outgoing_elements(self.model, tgt_obj_name)
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link_edge = self.bottom.create_edge(src_obj_node, tgt_obj_node)
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# generate a unique name for the link
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if link_name == None:
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i = 0;
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while True:
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link_name = f"{assoc_name}{i}"
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@ -4,8 +4,9 @@ from services.bottom.V0 import Bottom
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from services.scd import SCD
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from framework.conformance import Conformance
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RAMIFIES_LABEL = "RAMifies"
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def ramify(state: State, model: UUID, prefix = "LHS_") -> UUID:
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def ramify(state: State, model: UUID, prefix = "RAM_") -> UUID:
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# def print_tree(root, max_depth, depth=0):
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# print(" "*depth, "root=", root, "value=", state.read_value(root))
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@ -119,7 +120,7 @@ def ramify(state: State, model: UUID, prefix = "LHS_") -> UUID:
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print('creating class', class_name, "with card 0 ..", upper_card)
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ramified_class = ramified_scd.create_class(prefix+class_name, abstract=None, max_c=upper_card)
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# traceability link
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bottom.create_edge(ramified_class, class_node, "RAMifies")
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bottom.create_edge(ramified_class, class_node, RAMIFIES_LABEL)
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# We don't add a 'label' attribute (as described in literature on RAMification)
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# 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
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@ -133,7 +134,7 @@ def ramify(state: State, model: UUID, prefix = "LHS_") -> UUID:
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# The string will be a Python expression
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ramified_attr_link = ramified_scd._create_attribute_link(prefix+class_name, string_modelref, prefix+attr_name, optional=True)
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# traceability link
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bottom.create_edge(ramified_attr_link, attr_edge, "RAMifies")
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bottom.create_edge(ramified_attr_link, attr_edge, RAMIFIES_LABEL)
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associations = scd.get_associations()
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for assoc_name, assoc_node in associations.items():
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@ -152,7 +153,7 @@ def ramify(state: State, model: UUID, prefix = "LHS_") -> UUID:
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src_max_c=src_upper_card,
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tgt_max_c=tgt_upper_card)
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# traceability link
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bottom.create_edge(ramified_assoc, assoc_node, "RAMifies")
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bottom.create_edge(ramified_assoc, assoc_node, RAMIFIES_LABEL)
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for inh_name, inh_node in scd.get_inheritances().items():
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# Re-create inheritance links like in our original model:
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@ -169,3 +170,11 @@ def ramify(state: State, model: UUID, prefix = "LHS_") -> UUID:
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print("RAMification successful.")
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return ramified
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# Every RAMified type has a link to its original type
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def get_original_type(bottom, typ: UUID):
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original_types = bottom.read_outgoing_elements(typ, RAMIFIES_LABEL)
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if len(original_types) != 1:
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raise Exception("Expected 1 original type, got " + str(len(original_types)))
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else:
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return original_types[0]
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36
transformation/rewriter.py
Normal file
36
transformation/rewriter.py
Normal file
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@ -0,0 +1,36 @@
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# Things you can do:
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# - Create/delete objects, associations, attributes
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# - Change attribute values
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# - ? that's it?
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from uuid import UUID
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from services.bottom.V0 import Bottom
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def process_rule(state, lhs: UUID, rhs: UUID):
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bottom = Bottom(state)
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# : bottom.read_outgoing_elements(rhs, name)[0]
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to_delete = { name for name in bottom.read_keys(lhs) if name not in bottom.read_keys(rhs) }
|
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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
|
||||
Loading…
Add table
Add a link
Reference in a new issue