python_gen_alias.py

op sum(one: int32, two: int32, three: "hello"): int32;
// cadl will give this to us as an anonymous model with two properties
// describes us as sending {"one": 12, "two": 32} over the wire

// pyhthon emitter: if it's anonymous model, don't generate model, just use JSON

// @overload
// def sum(self, body: JSON) # make this programatically positional only

// @overload
// def sum(self, *, one: int, two: int, three: typing.Literal["hello"] = "hello")

// def sum(self, *args, **kwargs)

// ANONYMOUS MODEL FOR PYTHON IS JUST JSON

model MyModel {
    one: int32;
    two: int32
}

op sum2(@body input: MyModel): int32;

// def sum2(self, input: MyModel)

op update(...MyModel): void; // JSON merge patch

op update2(body: MyModel): void; // not valid JSON merge patch cadl definition

// @overload
// def update(self, body: JSON) # make this programatically positional only

// @overload
// def update(self, *, one: int, two: int, content_type: str = "application/merge-patch+json")

// def update(self, *args, **kwargs)

alias MyModel2 = {
    one: int32;
    two: int32;
};

op sum3(...MyModel2): int32;

// @overload
// def sum3(self, body: JSON) # make this programatically positional only

// @overload
// def sum3(self, *, one: int, two: int)

// def sum3(self, *args, **kwargs)