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refactor: miscellaneous in anonymizer.py #826

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nautics889
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@nautics889 nautics889 commented Dec 16, 2023

There was some mess in anonymizer.py, lots of those came from this compound commit (see pandasai/helpers/anonymizer.py there)
This one must make better. I'm not sure Anonymizer class even still works actually, btw :)


  • (refactor): make methods suposed to be static actually staticmethods;
  • (fix): inappropriate signatures for several methods;
  • (refacotr): naming issues;

Summary by CodeRabbit

  • Refactor

    • Improved data anonymization methods for better performance and usability.
  • New Features

    • Enhanced phone number anonymization to consider the format of the original input.
  • Bug Fixes

    • Adjusted anonymization functions to correctly handle various data types within dataframes.

* (refactor): make methods suposed to be static actually staticmethods;
* (fix): inappropriate signatures for several methods;
* (refacotr): naming issues;
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coderabbitai bot commented Dec 16, 2023

Walkthrough

The Anonymizer class in pandasai/helpers/anonymizer.py has been updated to enhance its functionality and design. Validation methods have been made static and now require explicit arguments, allowing them to be used without class instantiation. The phone number generation method was modified to create a random number based on an input. Finally, the dataframe anonymization method now operates on a passed dataframe, making the function more flexible and reusable.

Changes

File Path Change Summary
.../helpers/anonymizer.py Converted validation and generation methods to static; updated methods to accept arguments; changed anonymize_dataframe_head to take a dataframe as an argument.

🐇✨
Once upon a codebase deep,
An Anonymizer tweaked to keep
Data masked, yet functions neat,
Static methods leap, no more heap!
🎩🐾

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Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (3e7d975) 85.11% compared to head (b728820) 85.14%.

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Additional details and impacted files
@@            Coverage Diff             @@
##             main     #826      +/-   ##
==========================================
+ Coverage   85.11%   85.14%   +0.02%     
==========================================
  Files          88       88              
  Lines        3809     3816       +7     
==========================================
+ Hits         3242     3249       +7     
  Misses        567      567              

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@nautics889 nautics889 marked this pull request as ready for review December 16, 2023 20:16
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Review Status

Actionable comments generated: 2

Configuration used: CodeRabbit UI

Commits Files that changed from the base of the PR and between 3e7d975 and b728820.
Files selected for processing (1)
  • pandasai/helpers/anonymizer.py (6 hunks)


# create a copy of the dataframe head
df_head = self.head().copy()
df_head = df.head().copy()

# for each column, check if it contains personal or sensitive information
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When anonymizing data, ensure that the conversion of column values to strings (str(df_head[col].iloc[0])) is robust enough to handle non-string data types without causing unexpected behavior or errors.


Consider using vectorized operations instead of apply for better performance when anonymizing columns in the dataframe.

@gventuri
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@nautics889 great catch, merging!
Just checked, and it seems the anonymizer is still being called in data_sampler.py!

@gventuri gventuri merged commit 0b7cecc into Sinaptik-AI:main Dec 16, 2023
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3 participants