Closed preritdas closed 3 months ago
The recent updates strengthen the code_to_category
function with improved error handling and consistent string returns. A comprehensive suite of unit tests has been added, covering various components like analyzers and formatters for MD5 hashes and PII data. These modifications significantly enhance the codebase's reliability and maintainability, ensuring robust verification of functionalities across different scenarios.
Files | Change Summary |
---|---|
bigdbm/.../taxonomy.py |
Enhanced code_to_category for consistent string returns and improved error handling; updated function signature to accept None . |
tests/.../test_analyze.py , tests/.../test_format.py , tests/.../test_validation.py , tests/.../test_taxonomy.py |
Introduced comprehensive unit tests for analyzers, formatters, and PII validation logic, enhancing overall test coverage. |
tests/.../test_processing.py |
Added type annotations for clarity in test functions, specifying return type as None . |
.github/workflows/tests.yaml |
Added new environment variables for integration with external services, enhancing workflow capabilities. |
π In the warren where code does play,
Changes hop in, brightening the day!
With tests that leap and functions that sing,
Robustness blooms like the joys of spring.
So here's to the code, both clever and bright,
A celebration of changes, oh what a sight! πΌβ¨
@coderabbitai resolve
This PR adds a comprehensive test suite covering crucial aspects of the codebase and improves the consistency of the code_to_category function.
Changes include:
These changes improve the overall test coverage and robustness of the codebase.
Summary by CodeRabbit
New Features
Bug Fixes
Tests
BaseAnalyzer
, OpenAI insights generator, and validated insights generator, ensuring reliability and correctness across different functionalities.CSVStringFormatter
and validation classes, enhancing overall test coverage.