Add validator to handle extractable features types#107
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BinaryFiddler
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EXBreder
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| from osprey.engine.language_types.entities import EntityT | ||
| from osprey.engine.udf.type_helpers import to_display_str | ||
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| from ..base_validator import SourceValidator |
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use the full osprey.engine.* path for consistency.
| To use a custom type without extraction, prefix the variable name with `_` to make | ||
| it a local variable: | ||
| _VC1 = CustomUdf(entity=TestUser) # OK - not extracted | ||
| VC1 = CustomUdf(entity=TestUser) # ERROR - would be extracted |
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coming in without too much context, and I do remember this is a thing we do, but its kinda a hack in the first place, assigning some semantic meaning to the name of a variable is pretty unexpected.
Definitely think this validator is a positive, but we should think about what we want a better API to look like in the future (in_the_backlog.gif)
| non_none_args = [a for a in args if a is not type(None)] # noqa: E721 | ||
| # Optional is a Union with exactly one non-None type | ||
| if len(non_none_args) == 1: | ||
| return _is_extractable_type(non_none_args[0]) |
| # Check Optional[T] (which is Union[T, None] at runtime) | ||
| if typing_inspect.is_union_type(t): | ||
| args = typing_inspect.get_args(t) | ||
| non_none_args = [a for a in args if a is not type(None)] # noqa: E721 |
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Technically this also allows Union[T], but I guess we dont really care
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UDFs that return a custom type will break the UI's extracted features -> values mapping, so we need a validator that checks that we aren't implementing any rules that return a custom type.