mirror of
https://github.com/data-privacy-stack/presidio.git
synced 2026-07-27 05:10:56 -05:00
31e8675930
* modules changes, doc changes * updates on notebook and e2e * backward compatibility of OperatorConfig * revert file structure * revert customize_presidio_analyzer, doesn't belong in this PR * update to spark notebook * updates to notebook * Update getting_entity_values.ipynb * Update getting_entity_values.ipynb * grouped imports * Update test_context_support.py
55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
from presidio_analyzer import AnalyzerEngine
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from presidio_anonymizer import AnonymizerEngine
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from presidio_anonymizer.entities import OperatorConfig
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from faker import Faker
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from faker.providers import internet
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def reverse_string(x):
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return x[::-1]
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def anonymize_reverse_lambda(analyzer_results, text_to_anonymize):
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anonymized_results = anonymizer.anonymize(
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text=text_to_anonymize,
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analyzer_results=analyzer_results,
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operators={
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"EMAIL_ADDRESS": OperatorConfig("custom", {"lambda": lambda x: x[::-1]})
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},
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)
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return anonymized_results
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def anonymize_faker_lambda(analyzer_results, text_to_anonymize):
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anonymized_results = anonymizer.anonymize(
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text=text_to_anonymize,
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analyzer_results=analyzer_results,
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operators={
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"EMAIL_ADDRESS": OperatorConfig(
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"custom", {"lambda": lambda x: fake.safe_email()}
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)
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},
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)
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return anonymized_results
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fake = Faker("en_US")
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fake.add_provider(internet)
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analyzer = AnalyzerEngine()
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anonymizer = AnonymizerEngine()
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text = (
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"The user has the following two emails: email1@contoso.com and email2@contoso.com"
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)
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analyzer_results = analyzer.analyze(
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text=text, entities=["EMAIL_ADDRESS"], language="en"
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)
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print(f"Original Text: {text}")
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print(f"Analyzer result: {analyzer_results}\n")
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print(f"Reverse lambda result: {anonymize_reverse_lambda(analyzer_results, text).text}")
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print(f"Faker lambda result: {anonymize_faker_lambda(analyzer_results, text).text}")
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