Use the as_of property to return the timestamp when features were ingested.
Example setup
>>> from teradataml import DataFrame, load_example_data, FeatureProcess
>>> load_example_data('dataframe', ['sales'])
>>> df = DataFrame("sales")
Create a feature process with as_of period.
>>> fp = FeatureProcess(repo="vfs_test", ... data_domain='sales', ... object=df, ... entity="accounts", ... features=["Jan", "Feb", "Mar", "Apr"] ... )
>>> fp.run(as_of='2024-01-01 00:00:00+00:00')
Process '7917d31f-6c7f-11f0-a99f-f020ffe7fe09' started. Process '7917d31f-6c7f-11f0-a99f-f020ffe7fe09' completed. True
Example: Get the as_of timestamp
>>> fp.as_of
('2024-01-01 00:00:00+00:00', '9999-12-31 23:59:59.999999+00:00')