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Problem

The PR review persona lacked context awareness when creating comments on pull requests. It was unable to properly understand the repository structure and code relationships when providing feedback.

Solution

Enhanced the PR review persona with improved context awareness by:

  1. Adding repository structure analysis to understand file relationships via Knowledge Graph.
  2. Enhanced context awareness with semantic code understanding.

Changes

  • Code:

    • Added Knowledge Graph (KG) tools for code relationship mapping
    • Implemented repository analysis utilities to extract structural information
    • Integrated these tools with the existing PR review functionality
  • Docs:

    • Added documentation for the new KG and repository analysis features

Future Work

Improve repository analysis performance for larger codebases

@bhavana-nair bhavana-nair changed the title Context awareness Added Knowledge Graph and Repository Analysis Tools for Context-Aware PR Reviews Jul 15, 2025
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@srdas srdas left a comment

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🔍 PR Review Summary

Found 7 issues that need attention. Please check the inline comments below for specific details.

Key Areas:

  • Code quality and best practices
  • Security considerations
  • Documentation completeness

Review completed by AI Assistant

@@ -1,4 +1,5 @@
import os
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Code Quality: Missing proper initialization and validation in PRReviewPersona:

  • Add config validation in __init__
  • Add error handling for missing config
  • Validate required config attributes

Example:

def __init__(self, *args, **kwargs):
    super().__init__(*args, **kwargs)
    self.config_manager = kwargs.get('config')
    if not self.config_manager:
        raise ValueError("config_manager required for PR review persona")
    self._validate_config()

@@ -0,0 +1,191 @@
import os
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Documentation: Missing module-level documentation and usage examples. Please add:

  • Module purpose and functionality overview
  • Configuration options
  • Usage examples
  • Error handling documentation

Example:

"""
Bulk Analyzer module for processing multiple code artifacts in the knowledge graph.

This module provides tools for analyzing multiple code files or components simultaneously,
enabling efficient knowledge graph population.

Configuration:
    See config_example.yaml for detailed settings
"""

@@ -0,0 +1,124 @@
from typing import Any, Dict, List
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Documentation & Code Quality: Missing documentation and validation:

  1. Add API documentation for comment formatting options
  2. Include comment templates and examples
  3. Add input validation for comment parameters
  4. Document integration instructions

Suggested structure:

"""
PR Comment Tool for generating and managing pull request review comments.

Configuration options:
- comment_style: Style of generated comments ('detailed' or 'concise')
- include_suggestions: Whether to include code suggestions (default: True)
- max_comments_per_file: Maximum comments per file (default: 10)
"""

@bhavana-nair bhavana-nair requested review from andrii-i and removed request for andrii-i July 15, 2025 23:34
bhavana-nair added a commit to bhavana-nair/jupyter-ai-personas that referenced this pull request Jul 21, 2025
Add implementation and test files for temporary file management:
- Add temp_file_manager.py for core functionality
- Add corresponding test file
@bhavana-nair bhavana-nair requested a review from andrii-i July 24, 2025 23:26
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@michaelnchin michaelnchin left a comment

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Looks good @bhavana-nair ! Minor comments on non-functional code cleanup.

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3 participants