Auto assigned transformers for datetime columns don't have the right parameters

[npatki]

Environment Details

• SDV version: 1.0.0 (in progress)
• Python version: 3.8
• Operating System: Linux (Colab Notebook)

Error Description

For my datetime columns, the metadata looks something like this:

'start_date': {
    'sdtype': 'datetime',
    'datetime_format': '%Y-%m-%d'
},

But when I do auto_assign_transformers, this is what I see:

'start_date': UnixTimestampEncoder(model_missing_values=True)

This doesn't seem right: The datetime_format is missing. I have provided this in the metadata.

This is what I expect to see after auto_assign_transformers:

'start_date': UnixTimestampEncoder(
    datetime_format='%Y-%m-%d', # directly coming from my metadata
)

Steps to reproduce

from sdv.datasets.demo import download_demo
from sdv.single_table import GaussianCopulaSynthesizer

data, metadata = download_demo(
    modality='single_table',
    dataset_name='student_placements_pii'
)

synthesizer = GaussianCopulaSynthesizer(metadata)
synthesizer.auto_assign_transformers(data)
synthesizer.get_transformers()

Other Notes

I'm curious if this could be a root cause for #1203