HaHafeng
19f9c5ea93
Summary of fixes: - Fix service discovery address (change .sae domain to internal IP) - Unify timezone configuration (Asia/Shanghai for all services) - Enhance ECS security group configuration (Redis/Weaviate port binding) - Add image pull strategy best practices - Add Python service memory management guidelines - Update Dify API Key deployment strategy (avoid deadlock) - Add SSH tunnel for RDS database access - Add NAT gateway cost optimization explanation Modified files (7 docs): - 00-部署架构总览.md (enhanced with 7 sections) - 03-Dify-ECS部署完全指南.md (security hardening) - 04-Python微服务-SAE容器部署指南.md (timezone + service discovery) - 05-Node.js后端-SAE容器部署指南.md (timezone configuration) - PostgreSQL部署策略-摸底报告.md (timezone best practice) - 07-关键配置补充说明.md (3 new sections) - 08-部署检查清单.md (service address fix) New files: - 文档修正报告-20251214.md (comprehensive fix report) - Review documents from technical team Impact: - Fixed 3 P0/P1 critical issues (100% connection failure risk) - Fixed 3 P2 important issues (stability and maintainability) - Added 2 P3 best practices (developer convenience) Status: All deployment documents reviewed and corrected, ready for production deployment
40 lines
864 B
Python
40 lines
864 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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