feat: updated extra context issue

[sauravpanda]

Improve Code Review Feedback

Overview

This pull request aims to enhance the code review functionality of the Kaizen system. It introduces several key changes and new features to improve the quality and effectiveness of the code review process.

Changes

• Key Changes:
  • Implemented a new filtering mechanism to only consider code review issues with a severity level of 5 or higher and a negative sentiment.
  • Removed the user parameter from the process_pr function, as it was not being used.
  • Refactored the _process_files_generator function to accept a new custom_context parameter, which can be used to pass additional context information to the code review process.
• New Features:
  • Added the ability to re-evaluate the code review response, which can be useful for updating the feedback based on changes made to the pull request.
• Refactoring:
  • Cleaned up the main.py file in the examples/code_review directory by removing the unused user parameter from the process_pr function call.

✨ Generated with love by Kaizen ❤️

Original Description

[kaizen-bot]

🔍 Code Review Summary

✅ All Clear: This commit looks good! 👍

Overview

• Total Feedbacks: 1 (Critical: 0, Refinements: 1)
• Files Affected: 1
• Code Quality: [█████████████████░░░] 85% (Good)

🟠 Refinement Suggestions:

These are not critical issues, but addressing them could further improve the code:

Logic Error (1 issues)

1. Potential logic flaw in filtering model issues based on severity and sentiment.

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📁 File: .experiments/code_review/evaluate.py:60
⚖️ Type: general
🔍 Description:
The current filtering logic may inadvertently exclude important model issues if the severity is below 5 or sentiment is not negative. This could lead to overlooking significant issues that require attention.
💡 Solution:
Consider revising the filtering logic to ensure that critical issues are not missed. You might want to include a logging mechanism to track filtered issues for further analysis.

Current Code:

if model_issue["severity"] < 5:
            continue
if model_issue["sentiment"] != "negative":
            continue

Suggested Code:

if model_issue["severity"] < 5 and model_issue["sentiment"] != "negative":
            continue  # Log or handle excluded issues appropriately

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Test Cases

6 file need updates to their tests. Run !unittest to generate create and update tests.

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✨ Generated with love by Kaizen ❤️

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