Is it possible to use pyPegaArchiverUsingPipeline for mixed Archive-then-Purge and Direct Purge strategies across different case types?

Hello Team,

I have a requirement involving different data retention strategies for multiple case types:

  • For a few case types, we need to archive the cases first and then purge them from the secondary data storage.

  • For a few other case types, we need to directly purge the cases from the primary database without archiving.

I would like to understand if both these approaches can be handled using the pyPegaArchiverUsingPipeline framework.

Specifically:

  • Can the pipeline be configured to support both archive-then-purge and direct purge behaviours based on case type?