[SPARK-56651][CONNECT][SDP] Add Python APIs for Auto CDC SCD Type 1

[anew]

What changes were proposed in this pull request?

Adds create_auto_cdc_flow to the the SDP Python API. For now, this will only support SCD Type 1. Parameters:

• name: the name of the flow
• target: the target table
• source: the source dataset with the change events
• keys: the unique key per row,
• sequence_by: a sequence id to establish time order
• apply_as_deletes: a boolean expression indicating whether an event represents a delete
• apply_as_truncates: a boolean expression indicating whether an event represents a truncation
• column_list: a list of columns to include in the target table
• except_column_list: a list of columns to exclude from the target table
• stored_as_scd_type the SCD type, must be 1
• ignore_null_updates_column_list: a list of columns for which to ignore null values
• ignore_null_updates_except_column_list: a list of columns for which not to ignore null values
• source_code_location: the location in the Python source code that defines this flow

Why are the changes needed?

See the SPIP at https://docs.google.com/document/d/1Hp5BGEYJRHbk6J7XUph3bAPZKRQXKOuV1PEaqZMMRoQ/

Does this PR introduce any user-facing change?

Yes, it introduces a new method in the SDP Python API.

How was this patch tested?

Unit tests were added, using a local graph registry.

Was this patch authored or co-authored using generative AI tooling?

Generated-by: Claude Sonnet 4.6