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Document empty-string numeric transforms

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Simon Willison 2026-08-13 10:58:20 -07:00
commit 30b4a8cb0c
4 changed files with 21 additions and 5 deletions
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21
tests/test_transform.py
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@ -1053,21 +1053,34 @@ def test_transform_with_unique_constraint_implicit_index(fresh_db):
)
@pytest.mark.parametrize("new_type", [int, float, "integer", "float", "REAL"])
def test_transform_empty_string_to_null_for_numeric_types(fresh_db, new_type):
# Empty strings in TEXT columns should become NULL when transforming to numeric types
@pytest.mark.parametrize(
"new_type,expected_value,expected_type",
[
(int, 42, int),
(float, 42.0, float),
("integer", 42, int),
("float", 42.0, float),
("REAL", 42.0, float),
],
)
def test_transform_empty_string_to_null_for_numeric_types(
fresh_db, new_type, expected_value, expected_type
):
fresh_db["test"].insert_all(
[
{"id": 1, "value": "42"},
{"id": 2, "value": ""},
{"id": 3, "value": None},
{"id": 4, "value": " "},
]
)
fresh_db["test"].transform(types={"value": new_type})
rows = {r["id"]: r["value"] for r in fresh_db["test"].rows}
assert rows[1] in (42, 42.0)
assert rows[1] == expected_value
assert type(rows[1]) is expected_type
assert rows[2] is None
assert rows[3] is None
assert rows[4] == " "
def test_transform_preserves_view(fresh_db):