数据库修复: - t_user_health_data_daily: 添加customer_id字段(租户ID) - t_user_health_data_weekly: 添加customer_id字段(租户ID) ljwx-boot同步更新: - TUserHealthDataDailyMapper.xml: 添加customer_id字段映射 - TUserHealthDataWeeklyMapper.xml: 添加customer_id字段映射 其他改进: - 告警规则缓存优化 - Redis缓存性能提升 - 健康数据处理性能优化 - 添加完整的文档和工具脚本 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
66 lines
2.5 KiB
Python
66 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""
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测试 upload_common_event 客户信息提取修复
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"""
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# 模拟修复后的客户信息提取逻辑
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def extract_common_event_customer_info(data):
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"""模拟修复后的upload_common_event客户信息提取逻辑"""
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# 优先使用直接传递的客户信息参数 - 支持两种字段名格式
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customerId = data.get("customer_id") or data.get("customerId")
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orgId = data.get("org_id") or data.get("orgId")
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userId = data.get("user_id") or data.get("userId")
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return customerId, orgId, userId
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# 测试数据 - 与实际日志中的数据一致
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test_data = {
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'eventType': 'com.tdtech.ohos.action.WEAR_STATUS_CHANGED',
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'eventValue': '0',
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'deviceSn': 'CRFTQ23409001890',
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'customerId': '1939964806110937090',
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'orgId': '1939964806110937090',
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'userId': '1940034533382479873',
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'timestamp': '2025-09-10 13:05:24'
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}
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print("=== 测试 upload_common_event 客户信息提取修复 ===")
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print("\n1. 测试原始数据:")
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print(f" 数据: {test_data}")
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print("\n2. 测试修复前的逻辑 (只支持下划线格式):")
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old_customerId = test_data.get("customer_id")
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old_orgId = test_data.get("org_id")
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old_userId = test_data.get("user_id")
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print(f" 修复前结果: customerId={old_customerId}, orgId={old_orgId}, userId={old_userId}")
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print("\n3. 测试修复后的逻辑 (支持两种格式):")
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new_customerId, new_orgId, new_userId = extract_common_event_customer_info(test_data)
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print(f" 修复后结果: customerId={new_customerId}, orgId={new_orgId}, userId={new_userId}")
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print("\n4. 测试结果验证:")
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success = (new_customerId == "1939964806110937090" and
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new_orgId == "1939964806110937090" and
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new_userId == "1940034533382479873")
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if success:
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print(" ✅ upload_common_event 修复成功!客户信息能够正确提取")
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else:
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print(" ❌ upload_common_event 修复失败!客户信息提取仍有问题")
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print("\n5. 测试下划线格式兼容性:")
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test_data_underscore = {
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'eventType': 'com.tdtech.ohos.action.WEAR_STATUS_CHANGED',
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'eventValue': '1',
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'deviceSn': 'CRFTQ23409001890',
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'customer_id': '1939964806110937090',
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'org_id': '1939964806110937090',
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'user_id': '1940034533382479873',
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'timestamp': '2025-09-10 13:05:24'
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}
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under_customerId, under_orgId, under_userId = extract_common_event_customer_info(test_data_underscore)
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print(f" 下划线格式: customerId={under_customerId}, orgId={under_orgId}, userId={under_userId}")
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print("\n=== 测试完成 ===") |