feat(eval): codeql #14
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Summary of Changes
Hello @nirav0999, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
I've integrated CodeQL into our evaluation framework to enhance static analysis capabilities, allowing us to identify potential security vulnerabilities and code quality issues. This change also aims to streamline our codebase by removing dead code and standardizing print outputs using the rich library, though the provided patch primarily focuses on the CodeQL integration.
Highlights
- CodeQL Integration Core: I've added a new module
eval/oracles/codeql_oracle.pyto provide comprehensive CodeQL integration, enabling the creation of CodeQL databases from Python code blocks and the execution of security analysis queries. - Result Processing and Filtering: The new CodeQL integration includes robust parsing of SARIF output, allowing for the extraction of findings, mapping of security-severity scores to human-readable levels (CRITICAL, HIGH, MEDIUM, LOW, INFO), and filtering results based on a minimum severity threshold.
- Utility Functions: I've included utility functions to manage CodeQL installations, create temporary directories for source code, and handle subprocess execution for CodeQL CLI commands, ensuring a smooth and controlled analysis process.
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Pull Request Overview
This PR integrates CodeQL analysis functionality into the evaluation framework by adding a complete CodeQL oracle implementation. It replaces a TODO placeholder with a full-featured security scanner that can analyze Python code using CodeQL's security queries.
- Added comprehensive CodeQL integration including database creation, analysis execution, and result parsing
- Implemented severity mapping and filtering capabilities for CodeQL findings
- Added utility functions for file handling and CodeQL installation verification
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Code Review
This pull request integrates CodeQL for static analysis. The implementation is a solid start, but I've identified several areas for improvement to enhance robustness, error handling, and code clarity. My feedback includes suggestions for better handling of subprocess failures, more resilient parsing of analysis results, correcting type hints, and removing dead code. Addressing these points will make the CodeQL oracle more reliable and maintainable.
richeverywhere