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Merge pull request adobe#42 from tamagoko/csv-annototion-support
adding FromCSVToList annotation
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Original file line number | Diff line number | Diff line change |
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@@ -1 +1 @@ | ||
3.7.2 | ||
3.11.0 |
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""" | ||
Copyright 2023 Adobe | ||
All Rights Reserved. | ||
NOTICE: Adobe permits you to use, modify, and distribute this file in accordance | ||
with the terms of the Adobe license agreement accompanying it. | ||
""" | ||
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from typing import TypeVar, Annotated | ||
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from pydantic import BeforeValidator | ||
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# pylint: disable=invalid-name | ||
T = TypeVar('T') | ||
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def _transform_csv(value: str) -> T: | ||
if not value: | ||
return None | ||
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if isinstance(value, str): | ||
return list(map(str.strip, value.split(','))) | ||
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if isinstance(value, list): | ||
return value | ||
# if we don't have a string or type T we aren't going to be able to transform it | ||
return [value] | ||
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# Annotation that helps transform a CSV string into a list of type T | ||
FromCSVToList = Annotated[T, BeforeValidator(_transform_csv)] |
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""" | ||
Copyright 2023 Adobe | ||
All Rights Reserved. | ||
NOTICE: Adobe permits you to use, modify, and distribute this file in accordance | ||
with the terms of the Adobe license agreement accompanying it. | ||
""" | ||
from typing import List, Union | ||
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import pytest | ||
from pydantic import BaseModel, ValidationError | ||
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from dysql.annotations import FromCSVToList | ||
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class StrCSVModel(BaseModel): | ||
values: FromCSVToList[List[str]] | ||
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class IntCSVModel(BaseModel): | ||
values: FromCSVToList[List[int]] | ||
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class NullableStrCSVModel(BaseModel): | ||
values: FromCSVToList[Union[List[str], None]] | ||
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class NullableIntCSVModel(BaseModel): | ||
values: FromCSVToList[Union[List[int], None]] | ||
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@pytest.mark.parametrize('cls, values, expected', [ | ||
(StrCSVModel, '1,2,3', ['1', '2', '3']), | ||
(StrCSVModel, 'a,b', ['a', 'b']), | ||
(StrCSVModel, 'a', ['a']), | ||
(NullableStrCSVModel, '', None), | ||
(NullableStrCSVModel, None, None), | ||
(StrCSVModel, ['a', 'b'], ['a', 'b']), | ||
(StrCSVModel, ['a', 'b', 'c'], ['a', 'b', 'c']), | ||
(IntCSVModel, '1,2,3', [1, 2, 3]), | ||
(IntCSVModel, '1', [1]), | ||
(NullableIntCSVModel, '', None), | ||
(NullableIntCSVModel, None, None), | ||
(IntCSVModel, ['1', '2', '3'], [1, 2, 3]), | ||
(IntCSVModel, ['1', '2', '3', 4, 5], [1, 2, 3, 4, 5]) | ||
]) | ||
def test_from_csv_to_list(cls, values, expected): | ||
assert expected == cls(values=values).values | ||
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@pytest.mark.parametrize('cls, values', [ | ||
(StrCSVModel, ''), | ||
(StrCSVModel, None), | ||
(IntCSVModel, 'a,b,c'), | ||
(IntCSVModel, ''), | ||
(IntCSVModel, None), | ||
(IntCSVModel, ['a', 'b', 'c']), | ||
]) | ||
def test_from_csv_to_list_invalid(cls, values): | ||
with pytest.raises(ValidationError): | ||
cls(values=values) |
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@@ -1,6 +1,6 @@ | ||
pytest==6.2.4 | ||
pytest-randomly==3.10.1 | ||
pytest-cov==2.12.1 | ||
pylint==2.10.2 | ||
pylint>2.10.2 | ||
pylintfileheader==0.3.0 | ||
pycodestyle==2.8.0 |