fix: tolerate non-string VALUEs in cython cimxml export, check columns (#50)#53
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#50) The compiled export crashed with "Expected bytes, got a 'int' object" when VALUE contained numbers (natural after tableview roundtrips with string_to_number=True, or user edits) — the lxml engine formats them silently, so the engines disagreed. _string_array now goes through astype("string[pyarrow]"): any input dtype becomes text (matching lxml's formatting), nulls stay null, and it is 14x faster than the old astype(object) path for clean arrow columns (8 ms vs 112 ms per 1.14M-row column). Arrow-backed columns arrive as ChunkedArray; combined to the single contiguous array the C++ extension requires. export_to_cimxml and export_to_nquads now fail early with a clear message when required triplet columns are missing.
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The compiled export crashed with "Expected bytes, got a 'int' object"
when VALUE contained numbers (natural after tableview roundtrips with
string_to_number=True, or user edits) — the lxml engine formats them
silently, so the engines disagreed.
_string_array now goes through astype("string[pyarrow]"): any input
dtype becomes text (matching lxml's formatting), nulls stay null, and
it is 14x faster than the old astype(object) path for clean arrow
columns (8 ms vs 112 ms per 1.14M-row column). Arrow-backed columns
arrive as ChunkedArray; combined to the single contiguous array the
C++ extension requires.
export_to_cimxml and export_to_nquads now fail early with a clear
message when required triplet columns are missing.