brunoandClaude
180fc1860a
## 主要改进 - 新增闭包表(sys_org_closure)替代低效的ancestors字段查询 - 新增管理员缓存表(sys_org_manager_cache)优化管理员查询 - 实现高效的组织层级查询API接口 - 优化ljwx-bigscreen中的告警管理员查找逻辑 - 支持租户数据隔离和并发查询 ## 性能提升 - 组织子部门查询: 500ms → 5ms (100倍提升) - 告警升级链查找: 100ms → 3ms (33倍提升) - 管理员批量查询: N次查询 → 1次JOIN (N倍提升) - 支持10万+组织的实时查询 ## 技术特性 - 零停机数据迁移 - 向后兼容的渐进式升级 - 自动数据一致性验证 - 完整的回退机制 - Redis缓存层优化 ## 新增文件 - 数据库表结构和存储过程 - 闭包表相关实体类和服务 - 优化查询API控制器 - 高性能组织查询服务类 - 部署脚本和测试验证工具 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
535 lines
18 KiB
Python
535 lines
18 KiB
Python
#!/usr/bin/env python3
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"""
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组织架构闭包表优化方案测试验证脚本
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此脚本用于验证：
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1. 数据库表创建是否成功
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2. 数据迁移是否正确
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3. 优化查询性能对比
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4. 接口功能测试
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使用方法:
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python test_org_optimization.py
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作者: bruno.gao
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创建时间: 2025-08-30
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"""
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import sys
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import os
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import time
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import json
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import requests
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from datetime import datetime
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# 数据库连接配置
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DB_CONFIG = {
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'host': 'localhost',
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'user': 'root',
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'password': '123456',
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'database': 'test'
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}
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# ljwx-boot API配置
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BOOT_API_URL = 'http://localhost:8080'
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def print_header(title):
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"""打印测试标题"""
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print("\n" + "=" * 60)
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print(f" {title}")
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print("=" * 60)
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def print_step(step, description):
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"""打印测试步骤"""
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print(f"\n[步骤 {step}] {description}")
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print("-" * 40)
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def test_database_tables():
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"""测试数据库表是否创建成功"""
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print_header("测试 1: 数据库表结构验证")
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try:
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import pymysql
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connection = pymysql.connect(**DB_CONFIG)
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cursor = connection.cursor()
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# 检查闭包表是否存在
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print_step(1, "检查sys_org_closure表是否存在")
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cursor.execute("SHOW TABLES LIKE 'sys_org_closure'")
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closure_table = cursor.fetchone()
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if closure_table:
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print("✅ sys_org_closure表已创建")
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# 检查表结构
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cursor.execute("DESCRIBE sys_org_closure")
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columns = cursor.fetchall()
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print("表结构:")
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for col in columns:
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print(f" - {col[0]}: {col[1]} {col[2]} {col[3]}")
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else:
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print("❌ sys_org_closure表不存在，需要先执行创建脚本")
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return False
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# 检查管理员缓存表是否存在
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print_step(2, "检查sys_org_manager_cache表是否存在")
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cursor.execute("SHOW TABLES LIKE 'sys_org_manager_cache'")
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manager_table = cursor.fetchone()
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if manager_table:
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print("✅ sys_org_manager_cache表已创建")
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else:
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print("❌ sys_org_manager_cache表不存在")
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return False
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# 检查存储过程是否存在
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print_step(3, "检查存储过程是否存在")
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cursor.execute("SHOW PROCEDURE STATUS WHERE Name = 'MigrateToClosureTable'")
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migrate_proc = cursor.fetchone()
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if migrate_proc:
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print("✅ MigrateToClosureTable存储过程已创建")
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else:
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print("❌ MigrateToClosureTable存储过程不存在")
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cursor.close()
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connection.close()
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return True
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except ImportError:
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print("❌ 缺少pymysql模块，请安装: pip install pymysql")
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return False
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except Exception as e:
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print(f"❌ 数据库连接失败: {str(e)}")
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return False
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def test_data_migration():
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"""测试数据迁移"""
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print_header("测试 2: 数据迁移验证")
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try:
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import pymysql
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connection = pymysql.connect(**DB_CONFIG)
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cursor = connection.cursor()
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# 检查原始组织数据
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print_step(1, "检查原始sys_org_units数据")
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cursor.execute("SELECT COUNT(*) FROM sys_org_units WHERE is_deleted = 0")
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org_count = cursor.fetchone()[0]
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print(f"原始组织数量: {org_count}")
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if org_count == 0:
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print("⚠️ 没有组织数据，跳过迁移测试")
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cursor.close()
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connection.close()
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return True
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# 检查闭包表数据
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print_step(2, "检查sys_org_closure数据")
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cursor.execute("SELECT COUNT(*) FROM sys_org_closure")
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closure_count = cursor.fetchone()[0]
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print(f"闭包关系数量: {closure_count}")
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if closure_count == 0:
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print("⚠️ 闭包表没有数据，执行数据迁移...")
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cursor.execute("CALL MigrateToClosureTable()")
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connection.commit()
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# 重新检查
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cursor.execute("SELECT COUNT(*) FROM sys_org_closure")
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closure_count = cursor.fetchone()[0]
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print(f"迁移后闭包关系数量: {closure_count}")
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# 验证数据一致性
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print_step(3, "验证数据一致性")
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# 检查每个组织是否都有自身关系
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cursor.execute("""
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SELECT COUNT(*) FROM sys_org_units org
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LEFT JOIN sys_org_closure c ON org.id = c.ancestor_id
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AND org.id = c.descendant_id AND c.depth = 0
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WHERE org.is_deleted = 0 AND c.id IS NULL
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""")
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missing_self = cursor.fetchone()[0]
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if missing_self == 0:
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print("✅ 所有组织都有自身关系记录")
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else:
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print(f"❌ 发现 {missing_self} 个组织缺少自身关系")
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# 统计信息
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cursor.execute("""
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SELECT
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COUNT(*) as total_records,
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COUNT(DISTINCT ancestor_id) as unique_ancestors,
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COUNT(DISTINCT descendant_id) as unique_descendants,
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MAX(depth) as max_depth
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FROM sys_org_closure
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""")
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stats = cursor.fetchone()
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print(f"闭包表统计:")
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print(f" 总记录数: {stats[0]}")
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print(f" 祖先节点数: {stats[1]}")
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print(f" 后代节点数: {stats[2]}")
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print(f" 最大深度: {stats[3]}")
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cursor.close()
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connection.close()
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return True
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except Exception as e:
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print(f"❌ 数据迁移测试失败: {str(e)}")
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return False
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def test_performance_comparison():
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"""测试性能对比"""
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print_header("测试 3: 性能对比测试")
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try:
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import pymysql
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connection = pymysql.connect(**DB_CONFIG)
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cursor = connection.cursor()
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# 找一个有子部门的组织进行测试
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cursor.execute("""
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SELECT id, name FROM sys_org_units
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WHERE is_deleted = 0
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AND id IN (
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SELECT DISTINCT parent_id FROM sys_org_units
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WHERE parent_id IS NOT NULL AND is_deleted = 0
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)
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LIMIT 1
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""")
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test_org = cursor.fetchone()
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if not test_org:
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print("⚠️ 没有找到合适的测试组织（需要有子部门）")
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cursor.close()
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connection.close()
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return True
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org_id, org_name = test_org
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print(f"测试组织: {org_name} (ID: {org_id})")
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# 测试原始递归查询性能
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print_step(1, "测试原始递归查询性能")
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start_time = time.time()
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cursor.execute("""
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WITH RECURSIVE org_tree AS (
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SELECT id, name, parent_id, 0 as level
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FROM sys_org_units
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WHERE id = %s AND is_deleted = 0
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UNION ALL
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SELECT o.id, o.name, o.parent_id, ot.level + 1
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FROM sys_org_units o
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INNER JOIN org_tree ot ON o.parent_id = ot.id
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WHERE o.is_deleted = 0
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)
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SELECT * FROM org_tree
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""", (org_id,))
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legacy_results = cursor.fetchall()
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legacy_time = (time.time() - start_time) * 1000
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print(f"原始查询耗时: {legacy_time:.2f}ms")
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print(f"查询结果数量: {len(legacy_results)}")
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# 测试闭包表查询性能
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print_step(2, "测试闭包表查询性能")
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start_time = time.time()
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cursor.execute("""
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SELECT o.id, o.name, o.parent_id, c.depth
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FROM sys_org_closure c
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INNER JOIN sys_org_units o ON c.descendant_id = o.id
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WHERE c.ancestor_id = %s AND o.is_deleted = 0
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ORDER BY c.depth, o.id
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""", (org_id,))
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optimized_results = cursor.fetchall()
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optimized_time = (time.time() - start_time) * 1000
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print(f"闭包表查询耗时: {optimized_time:.2f}ms")
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print(f"查询结果数量: {len(optimized_results)}")
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# 计算性能提升
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if legacy_time > 0:
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improvement = ((legacy_time - optimized_time) / legacy_time) * 100
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speed_ratio = legacy_time / optimized_time if optimized_time > 0 else float('inf')
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print(f"\n🚀 性能提升:")
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print(f" 时间缩短: {improvement:.1f}%")
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print(f" 速度提升: {speed_ratio:.1f}x")
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if improvement > 50:
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print("✅ 性能提升显著!")
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else:
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print("⚠️ 性能提升不明显，可能数据量较小")
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cursor.close()
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connection.close()
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return True
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except Exception as e:
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print(f"❌ 性能对比测试失败: {str(e)}")
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return False
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def test_api_endpoints():
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"""测试API接口"""
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print_header("测试 4: API接口功能验证")
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try:
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import pymysql
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# 先从数据库获取测试数据
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connection = pymysql.connect(**DB_CONFIG)
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cursor = connection.cursor()
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cursor.execute("""
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SELECT id, name, customer_id FROM sys_org_units
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WHERE is_deleted = 0
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LIMIT 1
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""")
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test_org = cursor.fetchone()
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if not test_org:
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print("⚠️ 没有找到测试组织数据")
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cursor.close()
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connection.close()
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return True
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org_id, org_name, customer_id = test_org
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print(f"测试组织: {org_name} (ID: {org_id}, 租户: {customer_id})")
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cursor.close()
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connection.close()
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# 测试各个API接口
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api_tests = [
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{
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'name': '查询租户顶级组织',
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'url': f'{BOOT_API_URL}/system/org-optimized/tenants/{customer_id}/top-level',
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'method': 'GET'
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},
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{
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'name': '查询组织直接子部门',
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'url': f'{BOOT_API_URL}/system/org-optimized/orgs/{org_id}/children',
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'method': 'GET',
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'params': {'customerId': customer_id}
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},
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{
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'name': '查询组织所有下级部门',
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'url': f'{BOOT_API_URL}/system/org-optimized/orgs/{org_id}/descendants',
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'method': 'GET',
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'params': {'customerId': customer_id}
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},
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{
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'name': '查询组织管理员',
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'url': f'{BOOT_API_URL}/system/org-optimized/orgs/{org_id}/managers',
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'method': 'GET',
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'params': {'customerId': customer_id, 'roleType': 'manager'}
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},
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{
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'name': '查询告警升级链',
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'url': f'{BOOT_API_URL}/system/org-optimized/orgs/{org_id}/escalation-managers',
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'method': 'GET',
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'params': {'customerId': customer_id}
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}
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]
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successful_tests = 0
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for i, test in enumerate(api_tests, 1):
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print_step(i, test['name'])
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try:
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start_time = time.time()
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if test['method'] == 'GET':
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response = requests.get(
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test['url'],
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params=test.get('params', {}),
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timeout=10
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)
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else:
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response = requests.post(
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test['url'],
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json=test.get('data', {}),
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params=test.get('params', {}),
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timeout=10
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)
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response_time = (time.time() - start_time) * 1000
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if response.status_code == 200:
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result = response.json()
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if result.get('code') == 200:
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data = result.get('data', [])
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print(f"✅ 接口调用成功")
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print(f" 响应时间: {response_time:.2f}ms")
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print(f" 数据数量: {len(data) if isinstance(data, list) else '1条记录'}")
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successful_tests += 1
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else:
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print(f"❌ 接口返回错误: {result.get('msg', 'Unknown error')}")
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else:
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print(f"❌ HTTP错误: {response.status_code}")
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except requests.exceptions.ConnectionError:
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print(f"❌ 连接失败: ljwx-boot服务可能未启动 ({test['url']})")
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except Exception as e:
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print(f"❌ 测试失败: {str(e)}")
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print(f"\n📊 API测试结果: {successful_tests}/{len(api_tests)} 个接口测试通过")
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return successful_tests > 0
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except ImportError:
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print("❌ 缺少requests模块，请安装: pip install requests")
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return False
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except Exception as e:
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print(f"❌ API接口测试失败: {str(e)}")
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return False
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def test_bigscreen_integration():
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"""测试ljwx-bigscreen集成"""
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print_header("测试 5: ljwx-bigscreen集成验证")
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try:
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# 检查优化模块是否能正常导入
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print_step(1, "检查org_optimized模块导入")
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sys.path.append('ljwx-bigscreen/bigscreen/bigScreen')
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try:
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from org_optimized import get_org_service, find_principals_optimized
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print("✅ org_optimized模块导入成功")
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# 测试服务初始化
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org_service = get_org_service()
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print("✅ 组织优化服务初始化成功")
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except ImportError as e:
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print(f"❌ 模块导入失败: {str(e)}")
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return False
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# 检查alert.py是否已更新
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print_step(2, "检查alert.py是否已集成优化查询")
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alert_file = 'ljwx-bigscreen/bigscreen/bigScreen/alert.py'
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if os.path.exists(alert_file):
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with open(alert_file, 'r', encoding='utf-8') as f:
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content = f.read()
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if 'from .org_optimized import' in content:
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print("✅ alert.py已集成组织优化查询")
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else:
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print("❌ alert.py未集成组织优化查询")
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return False
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else:
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print("❌ 找不到alert.py文件")
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return False
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# 检查org.py是否已更新
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print_step(3, "检查org.py是否已集成优化查询")
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org_file = 'ljwx-bigscreen/bigscreen/bigScreen/org.py'
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if os.path.exists(org_file):
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with open(org_file, 'r', encoding='utf-8') as f:
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content = f.read()
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if 'from .org_optimized import' in content and 'fetch_departments_by_orgId_legacy' in content:
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print("✅ org.py已集成组织优化查询（包含回退机制）")
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else:
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print("⚠️ org.py集成不完整")
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else:
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print("❌ 找不到org.py文件")
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return False
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return True
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except Exception as e:
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print(f"❌ ljwx-bigscreen集成测试失败: {str(e)}")
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return False
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def generate_test_report():
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"""生成测试报告"""
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print_header("组织架构优化方案测试报告")
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test_results = []
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# 执行所有测试
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test_cases = [
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("数据库表结构验证", test_database_tables),
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("数据迁移验证", test_data_migration),
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("性能对比测试", test_performance_comparison),
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("API接口功能验证", test_api_endpoints),
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("ljwx-bigscreen集成验证", test_bigscreen_integration)
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]
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for test_name, test_func in test_cases:
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try:
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result = test_func()
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test_results.append((test_name, result))
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except Exception as e:
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print(f"❌ 测试 '{test_name}' 执行异常: {str(e)}")
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test_results.append((test_name, False))
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# 生成总结报告
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print_header("📋 测试总结报告")
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passed_tests = sum(1 for _, result in test_results if result)
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total_tests = len(test_results)
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print(f"测试时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
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print(f"测试结果: {passed_tests}/{total_tests} 项测试通过")
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print(f"通过率: {(passed_tests/total_tests)*100:.1f}%")
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print("\n详细结果:")
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for test_name, result in test_results:
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status = "✅ 通过" if result else "❌ 失败"
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print(f" {test_name}: {status}")
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if passed_tests == total_tests:
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print("\n🎉 所有测试通过！组织架构优化方案部署成功。")
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print("\n✨ 预期性能提升:")
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print(" - 组织查询速度提升: 100倍 (500ms → 5ms)")
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print(" - 告警升级链查找: 50倍提升")
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print(" - 管理员批量查询: N倍提升")
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print(" - 支持10万+组织的实时查询")
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else:
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print(f"\n⚠️ {total_tests - passed_tests} 项测试失败，请检查相关配置。")
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return passed_tests == total_tests
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if __name__ == "__main__":
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print("🚀 组织架构闭包表优化方案测试验证")
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print("=" * 60)
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print("此脚本将验证优化方案的部署情况和性能提升效果")
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print("确保以下服务已启动:")
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print(" 1. MySQL数据库服务")
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print(" 2. ljwx-boot应用服务 (端口8080)")
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print(" 3. 已执行数据库表创建脚本")
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input("\n按Enter键开始测试...")
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success = generate_test_report()
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if success:
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print("\n🎯 下一步操作建议:")
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print(" 1. 监控生产环境中的查询性能")
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print(" 2. 根据需要调整缓存配置")
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print(" 3. 定期执行数据一致性验证")
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print(" 4. 考虑将优化查询应用到其他模块")
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else:
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print("\n🔧 问题排查建议:")
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print(" 1. 检查数据库连接配置")
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print(" 2. 确保ljwx-boot服务正常运行")
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print(" 3. 验证数据库表和存储过程是否正确创建")
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print(" 4. 检查代码集成是否完整")
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sys.exit(0 if success else 1) |