Overview
The MapPhase step now produces data using Polars LazyFrames, but the PatchPhase step still uses the legacy implementation and cannot process this new output. To keep the pipeline consistent and efficient, the PatchPhase phase must be updated to use the Polars version. This will keep existing behaviour while modernising the underlying process.
Tech Approach
- Update digital_land/phase/PatchPhase.py so it delegates to the Polars PatchPhase implementation.
- Implement the full PatchPhase logic inside digital_land/phase_polars/transform/PatchPhase.py.
- Convert existing PatchPhase rules into Polars lazy transformations.
- Ensure the PatchPhase phase accepts the LazyFrame produced by the new PatchPhase step.
- Keep the same public interface so no downstream code needs changing.
Acceptance Criteria/Tests
Resourcing & Dependencies
Depends on MapPhase, no external teams.
Overview
The MapPhase step now produces data using Polars LazyFrames, but the PatchPhase step still uses the legacy implementation and cannot process this new output. To keep the pipeline consistent and efficient, the PatchPhase phase must be updated to use the Polars version. This will keep existing behaviour while modernising the underlying process.
Tech Approach
Acceptance Criteria/Tests
Resourcing & Dependencies
Depends on MapPhase, no external teams.