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| from obsei.payload import TextPayload | |
| from obsei.analyzer.pii_analyzer import PresidioPIIAnalyzerConfig | |
| text_to_anonymize = "His name is Mr. Jones. His phone number is 212-555-5555 and email is [email protected]" | |
| PII_LIST = ["Jones", "212-555-5555", "[email protected]"] | |
| TEXTS = [text_to_anonymize] | |
| def test_pii_analyzer_replace_original(pii_analyzer): | |
| analyzer_config = PresidioPIIAnalyzerConfig( | |
| analyze_only=False, return_decision_process=True, replace_original_text=True | |
| ) | |
| source_responses = [ | |
| TextPayload(processed_text=text, source_name="sample") for text in TEXTS | |
| ] | |
| analyzer_responses = pii_analyzer.analyze_input( | |
| source_response_list=source_responses, analyzer_config=analyzer_config | |
| ) | |
| assert len(analyzer_responses) == len(TEXTS) | |
| for text, analyzer_response in zip(TEXTS, analyzer_responses): | |
| assert analyzer_response.segmented_data is not None | |
| assert analyzer_response.segmented_data["pii_data"] is not None | |
| assert analyzer_response.segmented_data["pii_data"]["analyzer_result"] is not None | |
| assert analyzer_response.segmented_data["pii_data"]["anonymized_result"] is not None | |
| assert analyzer_response.segmented_data["pii_data"]["anonymized_text"] is not None | |
| for pii_info in PII_LIST: | |
| assert pii_info not in analyzer_response.segmented_data["pii_data"]["anonymized_text"] | |
| assert ( | |
| analyzer_response.segmented_data["pii_data"]["anonymized_text"] | |
| == analyzer_response.processed_text | |
| ) | |
| assert analyzer_response.segmented_data["pii_data"]["anonymized_text"] != text | |
| def test_pii_analyzer_not_replace_original(pii_analyzer): | |
| analyzer_config = PresidioPIIAnalyzerConfig( | |
| analyze_only=False, return_decision_process=True, replace_original_text=False | |
| ) | |
| source_responses = [ | |
| TextPayload(processed_text=text, source_name="sample") for text in TEXTS | |
| ] | |
| analyzer_responses = pii_analyzer.analyze_input( | |
| source_response_list=source_responses, analyzer_config=analyzer_config | |
| ) | |
| assert len(analyzer_responses) == len(TEXTS) | |
| for text, analyzer_response in zip(TEXTS, analyzer_responses): | |
| assert analyzer_response.segmented_data is not None | |
| assert analyzer_response.segmented_data["pii_data"] is not None | |
| assert analyzer_response.segmented_data["pii_data"]["analyzer_result"] is not None | |
| assert analyzer_response.segmented_data["pii_data"]["anonymized_result"] is not None | |
| assert analyzer_response.segmented_data["pii_data"]["anonymized_text"] is not None | |
| for pii_info in PII_LIST: | |
| assert pii_info not in analyzer_response.segmented_data["pii_data"]["anonymized_text"] | |
| assert analyzer_response.processed_text == text | |
| assert analyzer_response.segmented_data["pii_data"]["anonymized_text"] != text | |
| def test_pii_analyzer_analyze_only(pii_analyzer): | |
| analyzer_config = PresidioPIIAnalyzerConfig( | |
| analyze_only=True, return_decision_process=True | |
| ) | |
| source_responses = [ | |
| TextPayload(processed_text=text, source_name="sample") for text in TEXTS | |
| ] | |
| analyzer_responses = pii_analyzer.analyze_input( | |
| source_response_list=source_responses, analyzer_config=analyzer_config | |
| ) | |
| assert len(analyzer_responses) == len(TEXTS) | |
| for text, analyzer_response in zip(TEXTS, analyzer_responses): | |
| assert analyzer_response.segmented_data is not None | |
| assert analyzer_response.segmented_data["pii_data"] is not None | |
| assert analyzer_response.segmented_data["pii_data"]["analyzer_result"] is not None | |
| assert analyzer_response.segmented_data["pii_data"]["anonymized_result"] is None | |
| assert text == analyzer_response.processed_text | |