ai_data_privacy_manager
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| Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
| ai_data_privacy_manager [2025/05/25 18:34] – [Basic Examples] eagleeyenebula | ai_data_privacy_manager [2025/05/25 18:37] (current) – [Best Practices] eagleeyenebula | ||
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| Line 166: | Line 166: | ||
| Extend the **DataPrivacyManager** class to use a different hashing mechanism, such as MD5 or SHA-512. | Extend the **DataPrivacyManager** class to use a different hashing mechanism, such as MD5 or SHA-512. | ||
| - | ```python | + | < |
| + | python | ||
| class CustomHashPrivacyManager(DataPrivacyManager): | class CustomHashPrivacyManager(DataPrivacyManager): | ||
| def anonymize(self, | def anonymize(self, | ||
| Line 176: | Line 177: | ||
| anonymized_record[key] = value | anonymized_record[key] = value | ||
| return anonymized_record | return anonymized_record | ||
| - | + | </ | |
| - | # Usage Example | + | # **Usage Example** |
| + | < | ||
| custom_manager = CustomHashPrivacyManager(anonymization_fields=[" | custom_manager = CustomHashPrivacyManager(anonymization_fields=[" | ||
| print(custom_manager.anonymize({" | print(custom_manager.anonymize({" | ||
| - | ``` | + | </ |
| **Output:** | **Output:** | ||
| - | ```plaintext | + | < |
| + | plaintext | ||
| {' | {' | ||
| - | ``` | + | </ |
| --- | --- | ||
| Line 192: | Line 195: | ||
| Anonymize fields conditionally, | Anonymize fields conditionally, | ||
| - | ```python | + | < |
| + | python | ||
| class ConditionalPrivacyManager(DataPrivacyManager): | class ConditionalPrivacyManager(DataPrivacyManager): | ||
| def anonymize(self, | def anonymize(self, | ||
| Line 202: | Line 206: | ||
| anonymized_record[key] = value | anonymized_record[key] = value | ||
| return anonymized_record | return anonymized_record | ||
| - | + | </ | |
| - | # Usage Example | + | # **Usage Example** |
| + | < | ||
| conditional_manager = ConditionalPrivacyManager(anonymization_fields=[" | conditional_manager = ConditionalPrivacyManager(anonymization_fields=[" | ||
| print(conditional_manager.anonymize({" | print(conditional_manager.anonymize({" | ||
| - | ``` | + | </ |
| --- | --- | ||
| Line 213: | Line 218: | ||
| Integrate **DataPrivacyManager** into an ETL data pipeline to anonymize sensitive rows before transformation. | Integrate **DataPrivacyManager** into an ETL data pipeline to anonymize sensitive rows before transformation. | ||
| - | ```python | + | < |
| + | python | ||
| class ETLPipeline: | class ETLPipeline: | ||
| def __init__(self, | def __init__(self, | ||
| Line 221: | Line 227: | ||
| anonymized_data = [self.privacy_manager.anonymize(record) for record in data] | anonymized_data = [self.privacy_manager.anonymize(record) for record in data] | ||
| return anonymized_data | return anonymized_data | ||
| - | + | </ | |
| - | # Initialize Privacy Manager | + | # **Initialize Privacy Manager** |
| + | < | ||
| privacy_manager = DataPrivacyManager(anonymization_fields=[" | privacy_manager = DataPrivacyManager(anonymization_fields=[" | ||
| - | + | </ | |
| - | # Pipeline Example | + | # **Pipeline Example** |
| + | < | ||
| pipeline = ETLPipeline(privacy_manager=privacy_manager) | pipeline = ETLPipeline(privacy_manager=privacy_manager) | ||
| data = [ | data = [ | ||
| Line 233: | Line 241: | ||
| anonymized_data = pipeline.process(data) | anonymized_data = pipeline.process(data) | ||
| print(anonymized_data) | print(anonymized_data) | ||
| - | ``` | + | </ |
| **Output:** | **Output:** | ||
| - | ```plaintext | + | < |
| + | plaintext | ||
| [ | [ | ||
| {' | {' | ||
| {' | {' | ||
| ] | ] | ||
| - | ``` | + | </ |
| ---- | ---- | ||
| Line 250: | Line 259: | ||
| 2. **Test Field Coverage:** | 2. **Test Field Coverage:** | ||
| - | - Ensure all sensitive fields are listed in `anonymization_fields`. | + | - Ensure all sensitive fields are listed in **anonymization_fields**. |
| 3. **Secure Logs:** | 3. **Secure Logs:** | ||
ai_data_privacy_manager.1748198044.txt.gz · Last modified: 2025/05/25 18:34 by eagleeyenebula
