Epic 149: Arrow canonical interchange in Python - #109
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PyPointCloud exposes __arrow_c_array__, returning (schema, array) Arrow C Data capsules so PyArrow/pandas consume SpatialRust clouds zero-copy. PyPointCloudStream exposes __arrow_c_stream__ for bounded record streaming into pa.RecordBatchReader via direct ArrowArrayStream callbacks. Capsule destructors call the Arrow release callbacks exactly once, verified by PyArrow round trips and gc no-double-free in the wheel test gate. Add StreamingPipelineIter::schema() accessor and pyarrow to the Python CI job.
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Summary
Promotes Arrow to the canonical cross-language zero-copy interchange in the Python bindings.
Deliverables
PyPointCloud.__arrow_c_array__— returns(arrow_schema, arrow_array)capsules from the audited C Data export, sopa.array(cloud), pandas, and DuckDB consume SpatialRust clouds zero-copy. Field buffers are CPU-backed and shared.PyPointCloudStream.__arrow_c_stream__— returns a singlearrow_array_streamcapsule with directget_schema/get_next/get_last_error/releasecallbacks driving the chunk iterator, consumable bypa.RecordBatchReader.from_stream. Bounded batch sizes are preserved.gc.collect()showing no double free.spatialrust-pipeline::StreamingPipelineIter::schema()additive accessor;pyarrowadded to the Python CI job.Verification
-k arrow_c:pa.array(cloud)struct<float32 x,y,z> matches source; 1000-point stream yields 256/256/256/232 batches whose concatenatedxmatches a direct read.-D warningsclean forspatialrust-pyandspatialrust-pipeline;cargo fmtclean.