Summary: - Created Node.js backend Docker image build guide - Updated deployment progress overview with backend status - Updated system status documentation Backend build achievements: - Fixed 200+ TypeScript compilation errors (200+ to 0) - Completed Prisma reverse sync (32 models from RDS) - Manually added 30+ Prisma relation fields - Successfully built Docker image (838MB) - Pushed image to ACR (v1.0 + latest tags) Documentation updates: - Added 10-Node.js后端-Docker镜像构建手册.md - Updated 00-部署进度总览.md with backend deployment status - Updated 00-系统当前状态与开发指南.md with latest progress - Fixed date format (2024 -> 2025) Next steps: - Deploy Node.js backend to SAE - Configure environment variables - Test end-to-end functionality Status: Backend Docker image ready for SAE deployment
52 lines
876 B
Python
52 lines
876 B
Python
"""测试dc_executor模块"""
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print("测试dc_executor模块导入...")
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try:
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from services.dc_executor import validate_code, execute_pandas_code
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print("✅ 模块导入成功")
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# 测试验证功能
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print("\n测试validate_code...")
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result = validate_code("df['x'] = 1")
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print(f"✅ validate_code成功: {result}")
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# 测试执行功能
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print("\n测试execute_pandas_code...")
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test_data = [{"age": 25}, {"age": 65}]
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result = execute_pandas_code(test_data, "df['old'] = df['age'] > 60")
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print(f"✅ execute_pandas_code成功: success={result['success']}")
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if result['success']:
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print(f" 结果: {result['result_data']}")
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print("\n🎉 所有模块测试通过!")
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except Exception as e:
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print(f"❌ 测试失败: {e}")
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import traceback
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traceback.print_exc()
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