8000 Programatically calling a generator without passing metamodel as argument · Issue #432 · textX/textX · GitHub
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argenos opened this issue Apr 3, 2025 · 1 comment
Open

Programatically calling a generator without passing metamodel as argument #432

argenos opened this issue Apr 3, 2025 · 1 comment
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@argenos
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argenos commented Apr 3, 2025

I'm trying to programmatically call a generator. The documentation suggests using generator_for_language_target(language_name, target_name, any_permitted=False) to get the callable, but this requires me to pass the metamodel as an argument robot_to_java(robot_mm, my_model) (from the examples).

According to the documentation , the GeneratorDesc should have a metamodel attribute, however this seems to be missing. For example, getting the description for textx->dot and looking at the attributes with dir():

gen_desc = generator_descriptions().get("textx").get("dot")
print(dir(gen_desc))

Returns the following attributes:

['__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getstate__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'description', 'generator', 'language', 'project_name', 'project_version', 'target']

Is there a way for me to use the metamodels already available to textx?
@igordejanovic
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You are right. Looks like a bug in the docs.

You can get a meta-model of registered language using language_desciptions() function.

I think that this API needs some rework as the generator should be bound to its language and thus GeneratorDesc.generator function should accept only the model as the meta-model should be bound on generator description construction.

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