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feat: Make udf optional if agg defined (#5689) #6328
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -527,6 +527,10 @@ def _validate_sources_config(self) -> None: | |
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| def _validate_transformation_config(self) -> None: | ||
| """Validate transformation configuration.""" | ||
| # Aggregations provide their own transformation; no udf/feature_transformation required. | ||
| if self.aggregations: | ||
| return | ||
|
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| if not self.feature_transformation: | ||
| raise ValueError(ODFVErrorMessages.no_transformation_provided()) | ||
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@@ -783,6 +787,8 @@ def _parse_transformation_from_proto( | |
| feature_transformation.substrait_transformation | ||
| ) | ||
| elif transformation_type is None: | ||
| if proto.spec.aggregations: | ||
| return None | ||
| # Handle backward compatibility case where feature_transformation is cleared | ||
| return cls._handle_backward_compatible_udf(proto) | ||
| else: | ||
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@@ -1113,6 +1119,13 @@ def _preprocess_feature_dict( | |
| return preprocessed_dict, columns_to_cleanup | ||
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| def infer_features(self) -> None: | ||
| if self.aggregations and not self.feature_transformation: | ||
| if not self.features: | ||
| raise RegistryInferenceFailure( | ||
| "OnDemandFeatureView", | ||
| f"Could not infer Features for the feature view '{self.name}'.", | ||
| ) | ||
| return | ||
| assert self.feature_transformation is not None | ||
| random_input = self._construct_random_input(singleton=self.singleton) | ||
| inferred_features = self.feature_transformation.infer_features( | ||
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to avoid skipping mode validation when both aggregations and a transformation are provided
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also, optionally may be good to have check