test: Auto-create unit tests for changes in PR #600 #628
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🔍 Code Review Summary❗ Attention Required: This push has potential issues. 🚨 Overview
🚨 Critical Issuessecurity (1 issues)1. Potential for sensitive data exposure in test logs.📁 File: .kaizen/unit_test/.experiments/code_review/test_main.py 💡 Solution: Current Code: mock_logger.info.assert_called_with("All PRs processed successfully")Suggested Code: mock_logger.info.assert_called_with("All PRs processed successfully") # Ensure no sensitive data is includedTest Cases3 file need updates to their tests. Run
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| assert mock_process_pr.call_count == 2 | ||
| assert mock_save_review.call_count == 2 | ||
| mock_logger.info.assert_called_with("All PRs processed successfully") |
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Comment: Potential for sensitive data exposure in test logs.
Solution: Ensure that sensitive data is not logged during tests.
!! Make sure the following suggestion is correct before committing it !!
Suggested change
| mock_logger.info.assert_called_with("All PRs processed successfully") | |
| mock_logger.info.assert_called_with("All PRs processed successfully") # Ensure no sensitive data is included |
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Comprehensive Unit Test Suite and Enhancements to Work Summary and PR Description Generation
Introduce a robust set of unit tests to validate the code review process functionality, and improve the work summary and pull request description generation capabilities.
mainfunction,process_prfunction,save_reviewfunction,LLMProviderclass, and helper functions.main.pyfrom 7 to 14 days for broader data capture.work_summary_prompts.py.pr_desc_prompts.py.PRDescriptionGeneratorto streamline the description generation process.LLMProviderand code chunking functionality.These changes will enhance code reliability and maintainability by ensuring critical functionalities are thoroughly tested, while also improving the clarity and usability of generated summaries and descriptions, aiding developers in understanding changes more effectively.
Original Description
These tests were generated based on changes in PR #600