HaHafeng
91cab452d1
Major fixes: - Fix pivot transformation with special characters in column names - Fix compute column validation for Chinese punctuation - Fix recode dialog to fetch unique values from full dataset via new API - Add column mapping mechanism to handle special characters Database migration: - Add column_mapping field to dc_tool_c_sessions table - Migration file: 20251208_add_column_mapping UX improvements: - Darken table grid lines for better visibility - Reduce column width by 40% with tooltip support - Insert new columns next to source columns - Preserve original row order after operations - Add notice about 50-row preview limit Modified files: - Backend: SessionService, SessionController, QuickActionService, routes - Python: pivot.py, compute.py, recode.py, binning.py, conditional.py - Frontend: DataGrid, RecodeDialog, index.tsx, ag-grid-custom.css - Database: schema.prisma, migration SQL Status: Code complete, database migrated, ready for testing
51 lines
1.3 KiB
Python
51 lines
1.3 KiB
Python
"""简单的代码执行测试"""
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import requests
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import json
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# 测试数据
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test_data = [
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{"patient_id": "P001", "age": 25, "gender": "男"},
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{"patient_id": "P002", "age": 65, "gender": "女"},
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{"patient_id": "P003", "age": 45, "gender": "男"},
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]
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# 测试代码
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test_code = """
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df['age_group'] = df['age'].apply(lambda x: '老年' if x > 60 else '非老年')
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print(f"处理完成，共 {len(df)} 行")
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"""
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print("=" * 60)
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print("测试: Pandas代码执行")
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print("=" * 60)
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try:
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response = requests.post(
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"http://localhost:8000/api/dc/execute",
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json={"data": test_data, "code": test_code},
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timeout=10
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)
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print(f"\n状态码: {response.status_code}")
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result = response.json()
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print(json.dumps(result, indent=2, ensure_ascii=False))
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if result.get("success"):
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print("\n✅ 代码执行成功！")
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print(f"结果数据: {len(result.get('result_data', []))} 行")
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print(f"执行时间: {result.get('execution_time', 0):.3f}秒")
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print(f"\n打印输出:\n{result.get('output', '')}")
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print(f"\n结果数据示例:")
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for row in result.get('result_data', [])[:3]:
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print(f" {row}")
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else:
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print(f"\n❌ 代码执行失败: {result.get('error')}")
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except Exception as e:
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print(f"\n❌ 测试异常: {str(e)}")
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