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	 a7e2f33adc
			
		
	
	
		a7e2f33adc
		
			
		
	
	
	
	
		
			
			* 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>
		
			
				
	
	
		
			43 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			43 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| #  Copyright 2025 Collate
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| #  Licensed under the Collate Community License, Version 1.0 (the "License");
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| #  you may not use this file except in compliance with the License.
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| #  You may obtain a copy of the License at
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| #  https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
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| #  Unless required by applicable law or agreed to in writing, software
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| #  distributed under the License is distributed on an "AS IS" BASIS,
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| #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| #  See the License for the specific language governing permissions and
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| #  limitations under the License.
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| import pytest
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| 
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| from metadata.pii.algorithms.preprocessing import convert_to_str, preprocess_values
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| 
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| 
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| @pytest.mark.parametrize(
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|     "input_value,expected",
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|     [
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|         ("hello", "hello"),
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|         (123, "123"),
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|         (123.45, "123.45"),
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|         (b"hello", "hello"),
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|         (None, None),
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|         ({"key": "value"}, '{"key": "value"}'),
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|         ({1, 2, 3}, None),  # Sets cannot be converted to JSON
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|     ],
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| )
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| def test_converts_various_types_to_string(input_value, expected):
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|     assert convert_to_str(input_value) == expected
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| 
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| 
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| @pytest.mark.parametrize(
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|     "input_values,expected",
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|     [
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|         (["hello", 123, None, b"world", "", "   "], ["hello", "123", "world"]),
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|         ([], []),
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|         ([None, "", "   "], []),
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|         ([{"key": "value"}, [1, 2, 3]], ['{"key": "value"}', "[1, 2, 3]"]),
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|     ],
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| )
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| def test_preprocesses_sequences_correctly(input_values, expected):
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|     assert preprocess_values(input_values) == expected
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