This project aims to provide an Object Constraint Language (OCL) to Python compiler. The project is takes inspiration on the work of Anthony Beuchey that wrote a textX grammar for OCL and a set of wrappers that enables OCL api on Python objects, as well as on the work of CrossEcore about the grammar for OCLInEcore.
This parser will be used to parse OCL expressions in .ecore documentation and automatically fill python implementation when possible (I see you UML2 ecore files 😄).
Currently in dev., only a dumb transpiler is doing the work, no semantic analysis, no constant propagation, nothing.
It just transpile your OCL expression without doing optimization or anything and translates toward only one expression, no multi-statements.
Consequently, let ... in ... expressions are translated in lambda.
expression = "let x = Set{0, 1..15} in x->select(e | e > 0)->collect(e | e + 4)"
print(dummy_compiler(expression))
# result
(lambda x: [e + 4 for e in [e for e in x if e > 0]])({0, *range(1, 15), }, )
expression = "Sequence{0, 1..15}->select(e | e > 0)->collect(e | e + 4)"
print(dummy_compiler(expression))
# result
[e + 4 for e in [e for e in [0, *range(1, 15), ] if e > 0]]
expression = "Set{}->isEmpty(4)"
print(dummy_compiler(expression))
# result
len(set()) == 0
expression = "len(x, (y+4) * 3)"
print(dummy_compiler(expression))
# result
len(x, (y + 4) * 3)
expression = "a.b.c.d(45)"
print(dummy_compiler(expression))
# result
a.b.c.d(45)
expression = "let x = Tuple{foo='abc'} in x.foo"
print(dummy_compiler(expression))
# result
(lambda x: x.foo)(OCLTuple(foo='abc'))
expression = "ParameterDirectionKind::inout"
print(dummy_compiler(expression))
# result
ParameterDirectionKind.inout
expression = """(if nestingClass > null then null
else
let b:BehavioredClassifier = self.behavioredClassifier(self.owner) in
if b.oclIsKindOf(Behavior) and b.oclAsType(Behavior).context > null then
b.oclAsType(Behavior).context
else b endif endif)"""
print(dummy_compiler(expression))
# result
(None if nestingClass > None else (lambda b: b.context if isinstance(b, Behavior) and b.context > None else b)(self.behavioredClassifier(self.owner)))
expression = """Extension.allInstances()->select(ext | let endTypes = ext.memberEnd->collect(e | type.oclAsType(Classifier)) in
endTypes->includes(self) or endTypes.allParents()->includes(self))"""
print(dummy_compiler(expression))
# result
[ext for ext in Extension.allInstances() if (lambda endTypes: self in endTypes or self in endTypes.allParents())([type for e in ext.memberEnd])]This repository proposes a very simple repl for OCL expressions.
Launch it using python oclrepl.py.
You'll get a repl interface running.
You can either type an ocl expression directly, or load a metamodel/model and register metamodels.
Syntax to load a model/metamodel is: load <model_metamodel_path>.
Syntax to register a metamodel is: register <model_metamodel_path>.
Here is a demo on how to use it.
antlr4-python3-runtime- for the repl:
pyecore
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