[Enterprise Usage] Unable to assign generic PII transformers (eg. AnonymizedFaker)

[npatki]

Enterprise users have access to additional RDTs that offer them features such as contextual anonymization.

Environment Details

• SDV-Enterprise version: 0.4.0 (dev release)
  • SDV version: 1.2.1
  • RDT version: 1.6.0

Error Description

As an SDV Enterprise user, I may have access to enterprise sdtypes such as phone_number and email. A synthesizer will automatically assign the enterprise transformers to these columns.

However, for the strictest privacy protection, I may want the option to use pure anonymization instead. I should be able to do this by assigning the generic, publicly available PII transformers such as AnonymizedFaker or PseudoAnonymizedFaker. But when I try to do this, there is an error.

Steps to reproduce

import pandas as pd
import numpy as np
from sdv.metadata import SingleTableMetadata
from sdv.single_table import GaussianCopulaSynthesizer
from rdt.transformers.pii import AnonymizedFaker

data = pd.DataFrame(data={
    'id': [0, 1, 2],
    'age': [29, 45, 31],
    'phone_number': ['+1(617) 253-3400', '+1(617) 495-1000', np.nan]
})

metadata = SingleTableMetadata.load_from_dict({
    'primary_key': 'id',
    'columns': {
        'id': { 'sdtype': 'id' },
        'age': { 'sdtype': 'numerical' },
        'phone_number': { 'sdtype': 'phone_number' }
    }
})

synth = GaussianCopulaSynthesizer(metadata)
synth.auto_assign_transformers(data)
synth.update_transformers({
    'phone_number': AnonymizedFaker(
        provider_name='phone_number',
        function_name='phone_number')
})

InvalidConfigError: Column 'phone_number' is a phone_number column, which is incompatible with the 'AnonymizedFaker' transformer.

Fix

Change the update transformer logic in the HyperTransformer: If an sdtype is NOT one of ('numerical', 'datetime', 'categorical', 'boolean' or 'text'), then allow the user an option to pass any transformer in the pii module.