Add fk_as_int option to get_pydantic() #893
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…nt in the resulting pydantic model This can be useful when using get_pydantic() to create read or create models, as one probably doesn't want to have to specify the whole related model in a request in order to pass validation, see collerek#343.
More specific testing would have required new models, which I frankly was too lazy to implement. Also fixed a typo in the file name.
This way "fk_as_int={"item__category"} should generate a nested item model in which the related category is not a nested model but an ID/PositiveInt. I tried to allow for infinite nesting in fk_as_int but didn't manage to implement it, in fact idk if it's even possible to do with the current relation algorithm.
This way there are two separate recursion paths, which might be the better solution.
Caveat: No M2M tests yet
Might also be useful in the fastapi parts of the documentation, but the methods section is prominently linked there.
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This allows to create pydantic models that contain the FK ID instead of the full related model for each field specified in
fk_as_int. To see why this can be useful, check #343.Unfortunately I didn't manage to allow for more than one level of nesting in the given dict/set, meaning one can only skip the conversion of a directly related model, not an indirectly related one. A more concrete example of this caveat has been added to the docs.