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
60 lines
1.3 KiB
Python
60 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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