OpenMetadata/ingestion/tests/unit/pii/algorithms/test_preprocessing.py
Pere Menal-Ferrer a7e2f33adc
feature/pii-column-classifier (#21200)
* Add PII Tag and Sensitivity Level enums.

* Add feature-extraction for PII classification tasks

* Add faker as test dependency

* Add unit tests for presidio tag extractor

* Add PIISensitivityTags enum and update sensitivity mapping logic

* Add Presidio utility functions for PII analysis

* Extend column name regexs for PII

* Add colum name split

* Move pii algorithms to dedicated package

* Add tests for PAN, NIF, SSN entities

* Fix linting

* Add comment on why we need to set specific lanaguage to Presidio recognizers, as per PR suggestion.

* Fix version of faker to prevent flaky tests. Fix failing tests.

* Fix wrong import

---------

Co-authored-by: Pere Menal <pere.menal@getcollate.io>
2025-05-16 14:03:49 +02:00

43 lines
1.5 KiB
Python

# Copyright 2025 Collate
# Licensed under the Collate Community License, Version 1.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest
from metadata.pii.algorithms.preprocessing import convert_to_str, preprocess_values
@pytest.mark.parametrize(
"input_value,expected",
[
("hello", "hello"),
(123, "123"),
(123.45, "123.45"),
(b"hello", "hello"),
(None, None),
({"key": "value"}, '{"key": "value"}'),
({1, 2, 3}, None), # Sets cannot be converted to JSON
],
)
def test_converts_various_types_to_string(input_value, expected):
assert convert_to_str(input_value) == expected
@pytest.mark.parametrize(
"input_values,expected",
[
(["hello", 123, None, b"world", "", " "], ["hello", "123", "world"]),
([], []),
([None, "", " "], []),
([{"key": "value"}, [1, 2, 3]], ['{"key": "value"}', "[1, 2, 3]"]),
],
)
def test_preprocesses_sequences_correctly(input_values, expected):
assert preprocess_values(input_values) == expected