codebridge-ai
Version:
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++.
22 lines • 1.63 kB
JSON
{
"timestamp": "2025-08-02T16:16:35.258Z",
"model": "starcoder2:3b",
"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": "\n\n## Solution\n\n```python\nfrom typing import List\n\n\ndef process_csv(filename):\n data = []\n with open(filename, 'r') as f:\n for line in f:\n try:\n data.append([int(x) if x else None for x in line.strip().split(',')])\n except ValueError: # or TypeError\n pass\n\n return data\n```\n\n## Feedback\n\n- [ ] I like the solution.\n- [ ] The solution is not good enough, but it's better than nothing.\n- [x] It can be improved by doing some more work.\n- [ ] I do not understand why this solution is wrong or doesn't meet the requirements.\n",
"improvedCode": "from typing import List\n\n\ndef process_csv(filename):\n data = []\n with open(filename, 'r') as f:\n for line in f:\n try:\n data.append([int(x) if x else None for x in line.strip().split(',')])\n except ValueError: # or TypeError\n pass\n\n return data",
"duration": 1763,
"success": true,
"qualityMetrics": {
"hasCode": true,
"hasTypeHints": true,
"hasErrorHandling": true,
"taskCompleted": true,
"score": 0.8333333333333334,
"rawScore": 1,
"maxScore": 1.2
},
"error": null
}