codebridge-ai
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Complete fullstack AI coding platform with AST-based code integration and local LLM support. Now with comprehensive web technology support (HTML/CSS/JS) plus JavaScript, Python, Rust, and C++.
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{
"timestamp": "2025-08-02T14:34:07.490Z",
"model": "deepseek-coder:6.7b",
"language": "python",
"scenario": "data-processing",
"task": "Add error handling, CSV library usage, and type hints",
"originalCode": "def process_csv(filename):\n data = []\n with open(filename, 'r') as f:\n for line in f:\n data.append(line.strip().split(','))\n return data",
"rawResponse": "Here is your updated python code:\n\n```python\nimport csv\nfrom typing import List, TextIO\n\ndef process_csv(filename: str) -> List[List[str]]:\n try:\n with open(filename, 'r') as f: # type: TextIO\n data = list(csv.reader(f))\n return data\n except FileNotFoundError:\n print(\"File not found.\")\n raise\n except Exception as e:\n print(\"An error occurred while processing the file.\")\n raise e\n``` \nThis code uses Python's built-in csv module to parse CSV files. It also includes basic error handling for situations where the specified filename does not exist or an unknown exception occurs during reading/processing of the file. Type hints have been added using Python's typing module, indicating that this function takes a string as its argument and returns a list of lists of strings.\n",
"improvedCode": "import csv\nfrom typing import List, TextIO\n\ndef process_csv(filename: str) -> List[List[str]]:\n try:\n with open(filename, 'r') as f: # type: TextIO\n data = list(csv.reader(f))\n return data\n except FileNotFoundError:\n print(\"File not found.\")\n raise\n except Exception as e:\n print(\"An error occurred while processing the file.\")\n raise e",
"duration": 4586,
"success": true,
"qualityMetrics": {
"hasCode": true,
"hasTypeHints": true,
"hasErrorHandling": true,
"taskCompleted": true,
"score": 0.8333333333333334,
"rawScore": 1,
"maxScore": 1.2
},
"error": null
}