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fix: Remote Online Store Type Inference Error with All-NULL Columns #6063
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π΄ Silent data loss for empty-collection values (e.g.,
[]) now treated as null instead of erroringReplacing the
TypeErrorwithreturn [ProtoValue() for _ in values]silently converts legitimate empty-collection values (like[]) into null ProtoValues. The_non_empty_valuefunction atsdk/python/feast/type_map.py:1351-1360treats empty lists/sets as "empty" (returnsFalse), so when the only values are empty collections,sampleisNone,value_typestaysUNKNOWN, and the new code returns null ProtoValues.This causes silent data corruption in at least two call paths:
_python_dict_to_map_proto(line 983): A struct like{"scores": []}will have its empty-list value silently converted to a null ProtoValue, losing the semantic distinction between "empty list" and "null".remote.py:205-213: When the remote online store returns a feature with status"PRESENT"and value[](a valid empty list), the function returnsProtoValue()(null). The caller then stores this as the feature value (feature_values_dict[feature_name] = message[0]), silently dropping the actual empty-list value.A safer fix would be to only return empty ProtoValues when all values are actually
None, not when they are empty collections.Prompt for agents
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@yuan1j Looks like a perfect issue identification here. Could you please change the code to match the devins expectations here.