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sauravpanda authored Aug 28, 2024
2 parents c396c00 + 9a69b91 commit f942ce3
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107 changes: 107 additions & 0 deletions .experiments/code_review/dataset/pr_222/issues.json
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[
{
"category": "SQL Injection",
"description": "Potential SQL injection vulnerability in the query construction.",
"impact": "critical",
"rationale": "Using string interpolation for SQL queries can lead to SQL injection attacks. This was identified by multiple models as a critical issue.",
"recommendation": "Use parameterized queries to avoid SQL injection vulnerabilities.",
"suggested_code": "query = f\"\"\"\nSELECT \n e.node_id,\n e.text,\n e.metadata,\n 1 - (e.embedding <=> %s::vector) as similarity\nFROM \n{self.table_name}e\nJOIN \n function_abstractions fa ON e.node_id = fa.function_id::text\nJOIN \n files f ON fa.file_id = f.file_id\nWHERE \n f.repo_id = %s\nORDER BY \n similarity DESC\nLIMIT \n %s\n\"\"\"",
"fixed_code": "query = \"\"\"\nSELECT \n e.node_id,\n e.text,\n e.metadata,\n 1 - (e.embedding <=> %s::vector) as similarity\nFROM \n %s e\nJOIN \n function_abstractions fa ON e.node_id = fa.function_id::text\nJOIN \n files f ON fa.file_id = f.file_id\nWHERE \n f.repo_id = %s\nORDER BY \n similarity DESC\nLIMIT \n %s\n\"\"\"",
"file_path": "kaizen/retriever/custom_vector_store.py",
"start_line": 19,
"end_line": 37,
"side": "RIGHT",
"sentiment": "negative",
"severity": 9
},
{
"category": "Error Handling",
"description": "Lack of error handling in database operations.",
"impact": "high",
"rationale": "Multiple models identified the need for better error handling in database operations to prevent crashes and improve debugging.",
"recommendation": "Add try-except blocks to handle potential database errors.",
"suggested_code": "",
"fixed_code": "try:\n with self.get_client() as client:\n with client.cursor() as cur:\n cur.execute(query, (query_embedding_normalized.tolist(), repo_id, similarity_top_k))\n results = cur.fetchall()\nexcept Exception as e:\n # Handle exception (e.g., log the error, re-raise, etc.)\n raise e",
"file_path": "kaizen/retriever/custom_vector_store.py",
"start_line": 39,
"end_line": 42,
"side": "RIGHT",
"sentiment": "negative",
"severity": 7
},
{
"category": "Code Readability",
"description": "The `chunk_code` function in `code_chunker.py` has nested functions and complex logic that can be refactored for better readability.",
"impact": "high",
"rationale": "Complex functions with nested logic can be hard to maintain and understand. This was noted by multiple models.",
"recommendation": "Refactor the `chunk_code` function to extract nested functions into separate helper functions.",
"suggested_code": "",
"fixed_code": "",
"file_path": "kaizen/retriever/code_chunker.py",
"start_line": 7,
"end_line": 62,
"side": "RIGHT",
"sentiment": "neutral",
"severity": 6
},
{
"category": "Type Annotations",
"description": "Missing or incomplete type annotations for method parameters and return types.",
"impact": "high",
"rationale": "Type annotations improve code readability and help with static analysis. This was mentioned by several models.",
"recommendation": "Add or improve type annotations to method parameters and return types.",
"suggested_code": "def custom_query(self, query_embedding: List[float], repo_id: int, similarity_top_k: int) -> List[dict]:",
"fixed_code": "def custom_query(self, query_embedding: List[float], repo_id: int, similarity_top_k: int) -> List[Dict[str, Any]]:",
"file_path": "kaizen/retriever/custom_vector_store.py",
"start_line": 13,
"end_line": 13,
"side": "RIGHT",
"sentiment": "neutral",
"severity": 5
},
{
"category": "Code Duplication",
"description": "Duplicate code found in test cases and database connection string creation.",
"impact": "high",
"rationale": "Code duplication was identified by multiple models as an issue that can lead to maintenance problems.",
"recommendation": "Refactor duplicate code into reusable functions or constants.",
"suggested_code": "",
"fixed_code": "",
"file_path": "tests/retriever/test_chunker.py",
"start_line": 98,
"end_line": 101,
"side": "RIGHT",
"sentiment": "negative",
"severity": 6
},
{
"category": "Performance",
"description": "Potential performance issues in database operations and code parsing.",
"impact": "medium",
"rationale": "Several models identified areas where performance could be improved, particularly in database operations and file parsing.",
"recommendation": "Optimize database queries, consider batching operations, and review file parsing logic for potential improvements.",
"suggested_code": "",
"fixed_code": "",
"file_path": "kaizen/retriever/llama_index_retriever.py",
"start_line": 1,
"end_line": 1,
"side": "RIGHT",
"sentiment": "neutral",
"severity": 5
},
{
"category": "Error Handling",
"description": "Improve error handling in the parse_file method and LanguageLoader class.",
"impact": "high",
"rationale": "Better error handling was suggested by multiple models to improve debugging and prevent unexpected behavior.",
"recommendation": "Implement more specific exception handling and provide detailed error messages.",
"suggested_code": "except Exception as e:\n logger.error(f\"Error processing file{file_path}:{str(e)}\")\n logger.error(traceback.format_exc())",
"fixed_code": "except Exception as e:\n logger.error(f\"Error processing file{file_path}:{str(e)}\")\n logger.error(traceback.format_exc())\n raise",
"file_path": "kaizen/retriever/llama_index_retriever.py",
"start_line": 108,
"end_line": 110,
"side": "RIGHT",
"sentiment": "negative",
"severity": 7
}
]
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