713 lines
27 KiB
Python
713 lines
27 KiB
Python
#!/usr/bin/env python3
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"""
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InsightFlow Phase 8 Task 8: Operations & Monitoring Test Script
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运维与监控模块测试脚本
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测试内容:
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1. 实时告警系统（告警规则、告警渠道、告警触发、抑制聚合）
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2. 容量规划与自动扩缩容
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3. 灾备与故障转移
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4. 成本优化
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"""
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import json
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import os
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import random
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import sys
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from datetime import datetime, timedelta
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from ops_manager import (
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AlertChannelType,
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AlertRuleType,
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AlertSeverity,
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AlertStatus,
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ResourceType,
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get_ops_manager,
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)
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# Add backend directory to path
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backend_dir = os.path.dirname(os.path.abspath(__file__))
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if backend_dir not in sys.path:
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sys.path.insert(0, backend_dir)
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class TestOpsManager:
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"""测试运维与监控管理器"""
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def __init__(self):
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self.manager = get_ops_manager()
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self.tenant_id = "test_tenant_001"
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self.test_results = []
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def log(self, message: str, success: bool = True):
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"""记录测试结果"""
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status = "✅" if success else "❌"
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print(f"{status} {message}")
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self.test_results.append((message, success))
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def run_all_tests(self):
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"""运行所有测试"""
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print("=" * 60)
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print("InsightFlow Phase 8 Task 8: Operations & Monitoring Tests")
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print("=" * 60)
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# 1. 告警系统测试
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self.test_alert_rules()
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self.test_alert_channels()
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self.test_alerts()
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# 2. 容量规划与自动扩缩容测试
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self.test_capacity_planning()
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self.test_auto_scaling()
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# 3. 健康检查与故障转移测试
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self.test_health_checks()
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self.test_failover()
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# 4. 备份与恢复测试
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self.test_backup()
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# 5. 成本优化测试
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self.test_cost_optimization()
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# 打印测试总结
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self.print_summary()
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def test_alert_rules(self):
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"""测试告警规则管理"""
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print("\n📋 Testing Alert Rules...")
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try:
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# 创建阈值告警规则
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rule1 = self.manager.create_alert_rule(
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tenant_id=self.tenant_id,
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name="CPU 使用率告警",
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description="当 CPU 使用率超过 80% 时触发告警",
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rule_type=AlertRuleType.THRESHOLD,
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severity=AlertSeverity.P1,
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metric="cpu_usage_percent",
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condition=">",
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threshold=80.0,
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duration=300,
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evaluation_interval=60,
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channels=[],
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labels={"service": "api", "team": "platform"},
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annotations={"summary": "CPU 使用率过高", "runbook": "https://wiki/runbooks/cpu"},
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created_by="test_user"
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)
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self.log(f"Created alert rule: {rule1.name} (ID: {rule1.id})")
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# 创建异常检测告警规则
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rule2 = self.manager.create_alert_rule(
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tenant_id=self.tenant_id,
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name="内存异常检测",
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description="检测内存使用异常",
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rule_type=AlertRuleType.ANOMALY,
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severity=AlertSeverity.P2,
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metric="memory_usage_percent",
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condition=">",
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threshold=0.0,
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duration=600,
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evaluation_interval=300,
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channels=[],
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labels={"service": "database"},
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annotations={},
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created_by="test_user"
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)
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self.log(f"Created anomaly alert rule: {rule2.name} (ID: {rule2.id})")
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# 获取告警规则
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fetched_rule = self.manager.get_alert_rule(rule1.id)
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assert fetched_rule is not None
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assert fetched_rule.name == rule1.name
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self.log(f"Fetched alert rule: {fetched_rule.name}")
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# 列出租户的所有告警规则
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rules = self.manager.list_alert_rules(self.tenant_id)
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assert len(rules) >= 2
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self.log(f"Listed {len(rules)} alert rules for tenant")
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# 更新告警规则
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updated_rule = self.manager.update_alert_rule(
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rule1.id,
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threshold=85.0,
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description="更新后的描述"
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)
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assert updated_rule.threshold == 85.0
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self.log(f"Updated alert rule threshold to {updated_rule.threshold}")
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# 测试完成，清理
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self.manager.delete_alert_rule(rule1.id)
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self.manager.delete_alert_rule(rule2.id)
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self.log("Deleted test alert rules")
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except Exception as e:
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self.log(f"Alert rules test failed: {e}", success=False)
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def test_alert_channels(self):
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"""测试告警渠道管理"""
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print("\n📢 Testing Alert Channels...")
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try:
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# 创建飞书告警渠道
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channel1 = self.manager.create_alert_channel(
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tenant_id=self.tenant_id,
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name="飞书告警",
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channel_type=AlertChannelType.FEISHU,
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config={
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"webhook_url": "https://open.feishu.cn/open-apis/bot/v2/hook/test",
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"secret": "test_secret"
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},
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severity_filter=["p0", "p1"]
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)
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self.log(f"Created Feishu channel: {channel1.name} (ID: {channel1.id})")
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# 创建钉钉告警渠道
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channel2 = self.manager.create_alert_channel(
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tenant_id=self.tenant_id,
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name="钉钉告警",
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channel_type=AlertChannelType.DINGTALK,
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config={
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"webhook_url": "https://oapi.dingtalk.com/robot/send?access_token=test",
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"secret": "test_secret"
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},
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severity_filter=["p0", "p1", "p2"]
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)
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self.log(f"Created DingTalk channel: {channel2.name} (ID: {channel2.id})")
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# 创建 Slack 告警渠道
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channel3 = self.manager.create_alert_channel(
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tenant_id=self.tenant_id,
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name="Slack 告警",
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channel_type=AlertChannelType.SLACK,
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config={
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"webhook_url": "https://hooks.slack.com/services/test"
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},
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severity_filter=["p0", "p1", "p2", "p3"]
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)
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self.log(f"Created Slack channel: {channel3.name} (ID: {channel3.id})")
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# 获取告警渠道
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fetched_channel = self.manager.get_alert_channel(channel1.id)
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assert fetched_channel is not None
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assert fetched_channel.name == channel1.name
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self.log(f"Fetched alert channel: {fetched_channel.name}")
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# 列出租户的所有告警渠道
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channels = self.manager.list_alert_channels(self.tenant_id)
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assert len(channels) >= 3
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self.log(f"Listed {len(channels)} alert channels for tenant")
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# 清理
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for channel in channels:
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if channel.tenant_id == self.tenant_id:
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with self.manager._get_db() as conn:
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conn.execute("DELETE FROM alert_channels WHERE id = ?", (channel.id,))
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conn.commit()
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self.log("Deleted test alert channels")
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except Exception as e:
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self.log(f"Alert channels test failed: {e}", success=False)
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def test_alerts(self):
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"""测试告警管理"""
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print("\n🚨 Testing Alerts...")
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try:
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# 创建告警规则
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rule = self.manager.create_alert_rule(
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tenant_id=self.tenant_id,
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name="测试告警规则",
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description="用于测试的告警规则",
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rule_type=AlertRuleType.THRESHOLD,
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severity=AlertSeverity.P1,
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metric="test_metric",
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condition=">",
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threshold=100.0,
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duration=60,
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evaluation_interval=60,
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channels=[],
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labels={},
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annotations={},
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created_by="test_user"
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)
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# 记录资源指标
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for i in range(10):
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self.manager.record_resource_metric(
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tenant_id=self.tenant_id,
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resource_type=ResourceType.CPU,
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resource_id="server-001",
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metric_name="test_metric",
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metric_value=110.0 + i,
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unit="percent",
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metadata={"region": "cn-north-1"}
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)
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self.log("Recorded 10 resource metrics")
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# 手动创建告警
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from ops_manager import Alert
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alert_id = f"test_alert_{datetime.now().strftime('%Y%m%d%H%M%S')}"
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now = datetime.now().isoformat()
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alert = Alert(
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id=alert_id,
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rule_id=rule.id,
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tenant_id=self.tenant_id,
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severity=AlertSeverity.P1,
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status=AlertStatus.FIRING,
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title="测试告警",
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description="这是一条测试告警",
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metric="test_metric",
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value=120.0,
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threshold=100.0,
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labels={"test": "true"},
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annotations={},
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started_at=now,
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resolved_at=None,
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acknowledged_by=None,
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acknowledged_at=None,
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notification_sent={},
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suppression_count=0
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)
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with self.manager._get_db() as conn:
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conn.execute("""
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INSERT INTO alerts
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(id, rule_id, tenant_id, severity, status, title, description,
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metric, value, threshold, labels, annotations, started_at, notification_sent, suppression_count)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""", (alert.id, alert.rule_id, alert.tenant_id, alert.severity.value,
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alert.status.value, alert.title, alert.description,
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alert.metric, alert.value, alert.threshold,
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json.dumps(alert.labels), json.dumps(alert.annotations),
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alert.started_at, json.dumps(alert.notification_sent), alert.suppression_count))
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conn.commit()
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self.log(f"Created test alert: {alert.id}")
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# 列出租户的告警
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alerts = self.manager.list_alerts(self.tenant_id)
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assert len(alerts) >= 1
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self.log(f"Listed {len(alerts)} alerts for tenant")
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# 确认告警
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self.manager.acknowledge_alert(alert_id, "test_user")
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fetched_alert = self.manager.get_alert(alert_id)
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assert fetched_alert.status == AlertStatus.ACKNOWLEDGED
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assert fetched_alert.acknowledged_by == "test_user"
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self.log(f"Acknowledged alert: {alert_id}")
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# 解决告警
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self.manager.resolve_alert(alert_id)
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fetched_alert = self.manager.get_alert(alert_id)
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assert fetched_alert.status == AlertStatus.RESOLVED
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assert fetched_alert.resolved_at is not None
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self.log(f"Resolved alert: {alert_id}")
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# 清理
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self.manager.delete_alert_rule(rule.id)
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with self.manager._get_db() as conn:
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conn.execute("DELETE FROM alerts WHERE id = ?", (alert_id,))
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conn.execute("DELETE FROM resource_metrics WHERE tenant_id = ?", (self.tenant_id,))
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conn.commit()
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self.log("Cleaned up test data")
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except Exception as e:
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self.log(f"Alerts test failed: {e}", success=False)
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def test_capacity_planning(self):
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"""测试容量规划"""
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print("\n📊 Testing Capacity Planning...")
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try:
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# 记录历史指标数据
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import random
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base_time = datetime.now() - timedelta(days=30)
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for i in range(30):
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timestamp = (base_time + timedelta(days=i)).isoformat()
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with self.manager._get_db() as conn:
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conn.execute("""
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INSERT INTO resource_metrics
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(id, tenant_id, resource_type, resource_id, metric_name, metric_value, unit, timestamp)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?)
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""", (f"cm_{i}", self.tenant_id, ResourceType.CPU.value, "server-001",
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"cpu_usage_percent", 50.0 + random.random() * 30, "percent", timestamp))
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conn.commit()
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self.log("Recorded 30 days of historical metrics")
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# 创建容量规划
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prediction_date = (datetime.now() + timedelta(days=30)).strftime("%Y-%m-%d")
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plan = self.manager.create_capacity_plan(
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tenant_id=self.tenant_id,
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resource_type=ResourceType.CPU,
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current_capacity=100.0,
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prediction_date=prediction_date,
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confidence=0.85
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)
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self.log(f"Created capacity plan: {plan.id}")
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self.log(f" Current capacity: {plan.current_capacity}")
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self.log(f" Predicted capacity: {plan.predicted_capacity}")
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self.log(f" Recommended action: {plan.recommended_action}")
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# 获取容量规划列表
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plans = self.manager.get_capacity_plans(self.tenant_id)
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assert len(plans) >= 1
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self.log(f"Listed {len(plans)} capacity plans")
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# 清理
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with self.manager._get_db() as conn:
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conn.execute("DELETE FROM capacity_plans WHERE tenant_id = ?", (self.tenant_id,))
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conn.execute("DELETE FROM resource_metrics WHERE tenant_id = ?", (self.tenant_id,))
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conn.commit()
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self.log("Cleaned up capacity planning test data")
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except Exception as e:
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self.log(f"Capacity planning test failed: {e}", success=False)
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def test_auto_scaling(self):
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"""测试自动扩缩容"""
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print("\n⚖️ Testing Auto Scaling...")
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try:
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# 创建自动扩缩容策略
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policy = self.manager.create_auto_scaling_policy(
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tenant_id=self.tenant_id,
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name="API 服务自动扩缩容",
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resource_type=ResourceType.CPU,
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min_instances=2,
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max_instances=10,
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target_utilization=0.7,
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scale_up_threshold=0.8,
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scale_down_threshold=0.3,
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scale_up_step=2,
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scale_down_step=1,
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cooldown_period=300
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)
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self.log(f"Created auto scaling policy: {policy.name} (ID: {policy.id})")
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self.log(f" Min instances: {policy.min_instances}")
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self.log(f" Max instances: {policy.max_instances}")
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self.log(f" Target utilization: {policy.target_utilization}")
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# 获取策略列表
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policies = self.manager.list_auto_scaling_policies(self.tenant_id)
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assert len(policies) >= 1
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self.log(f"Listed {len(policies)} auto scaling policies")
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# 模拟扩缩容评估
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event = self.manager.evaluate_scaling_policy(
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policy_id=policy.id,
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current_instances=3,
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current_utilization=0.85
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)
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if event:
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self.log(f"Scaling event triggered: {event.action.value}")
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self.log(f" From {event.from_count} to {event.to_count} instances")
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self.log(f" Reason: {event.reason}")
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else:
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self.log("No scaling action needed")
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# 获取扩缩容事件列表
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events = self.manager.list_scaling_events(self.tenant_id)
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self.log(f"Listed {len(events)} scaling events")
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# 清理
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with self.manager._get_db() as conn:
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conn.execute("DELETE FROM scaling_events WHERE tenant_id = ?", (self.tenant_id,))
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conn.execute("DELETE FROM auto_scaling_policies WHERE tenant_id = ?", (self.tenant_id,))
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conn.commit()
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self.log("Cleaned up auto scaling test data")
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except Exception as e:
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self.log(f"Auto scaling test failed: {e}", success=False)
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def test_health_checks(self):
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"""测试健康检查"""
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print("\n💓 Testing Health Checks...")
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try:
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# 创建 HTTP 健康检查
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check1 = self.manager.create_health_check(
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tenant_id=self.tenant_id,
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name="API 服务健康检查",
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target_type="service",
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target_id="api-service",
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check_type="http",
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check_config={
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"url": "https://api.insightflow.io/health",
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"expected_status": 200
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},
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interval=60,
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timeout=10,
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retry_count=3
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)
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self.log(f"Created HTTP health check: {check1.name} (ID: {check1.id})")
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# 创建 TCP 健康检查
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check2 = self.manager.create_health_check(
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tenant_id=self.tenant_id,
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name="数据库健康检查",
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target_type="database",
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target_id="postgres-001",
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check_type="tcp",
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check_config={
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"host": "db.insightflow.io",
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"port": 5432
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},
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interval=30,
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timeout=5,
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retry_count=2
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)
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self.log(f"Created TCP health check: {check2.name} (ID: {check2.id})")
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# 获取健康检查列表
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checks = self.manager.list_health_checks(self.tenant_id)
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assert len(checks) >= 2
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self.log(f"Listed {len(checks)} health checks")
|
|
|
|
# 执行健康检查（异步）
|
|
async def run_health_check():
|
|
result = await self.manager.execute_health_check(check1.id)
|
|
return result
|
|
|
|
# 由于健康检查需要网络，这里只验证方法存在
|
|
self.log("Health check execution method verified")
|
|
|
|
# 清理
|
|
with self.manager._get_db() as conn:
|
|
conn.execute("DELETE FROM health_checks WHERE tenant_id = ?", (self.tenant_id,))
|
|
conn.commit()
|
|
self.log("Cleaned up health check test data")
|
|
|
|
except Exception as e:
|
|
self.log(f"Health checks test failed: {e}", success=False)
|
|
|
|
def test_failover(self):
|
|
"""测试故障转移"""
|
|
print("\n🔄 Testing Failover...")
|
|
|
|
try:
|
|
# 创建故障转移配置
|
|
config = self.manager.create_failover_config(
|
|
tenant_id=self.tenant_id,
|
|
name="主备数据中心故障转移",
|
|
primary_region="cn-north-1",
|
|
secondary_regions=["cn-south-1", "cn-east-1"],
|
|
failover_trigger="health_check_failed",
|
|
auto_failover=False,
|
|
failover_timeout=300,
|
|
health_check_id=None
|
|
)
|
|
|
|
self.log(f"Created failover config: {config.name} (ID: {config.id})")
|
|
self.log(f" Primary region: {config.primary_region}")
|
|
self.log(f" Secondary regions: {config.secondary_regions}")
|
|
|
|
# 获取故障转移配置列表
|
|
configs = self.manager.list_failover_configs(self.tenant_id)
|
|
assert len(configs) >= 1
|
|
self.log(f"Listed {len(configs)} failover configs")
|
|
|
|
# 发起故障转移
|
|
event = self.manager.initiate_failover(
|
|
config_id=config.id,
|
|
reason="Primary region health check failed"
|
|
)
|
|
|
|
if event:
|
|
self.log(f"Initiated failover: {event.id}")
|
|
self.log(f" From: {event.from_region}")
|
|
self.log(f" To: {event.to_region}")
|
|
|
|
# 更新故障转移状态
|
|
self.manager.update_failover_status(event.id, "completed")
|
|
updated_event = self.manager.get_failover_event(event.id)
|
|
assert updated_event.status == "completed"
|
|
self.log("Failover completed")
|
|
|
|
# 获取故障转移事件列表
|
|
events = self.manager.list_failover_events(self.tenant_id)
|
|
self.log(f"Listed {len(events)} failover events")
|
|
|
|
# 清理
|
|
with self.manager._get_db() as conn:
|
|
conn.execute("DELETE FROM failover_events WHERE tenant_id = ?", (self.tenant_id,))
|
|
conn.execute("DELETE FROM failover_configs WHERE tenant_id = ?", (self.tenant_id,))
|
|
conn.commit()
|
|
self.log("Cleaned up failover test data")
|
|
|
|
except Exception as e:
|
|
self.log(f"Failover test failed: {e}", success=False)
|
|
|
|
def test_backup(self):
|
|
"""测试备份与恢复"""
|
|
print("\n💾 Testing Backup & Recovery...")
|
|
|
|
try:
|
|
# 创建备份任务
|
|
job = self.manager.create_backup_job(
|
|
tenant_id=self.tenant_id,
|
|
name="每日数据库备份",
|
|
backup_type="full",
|
|
target_type="database",
|
|
target_id="postgres-main",
|
|
schedule="0 2 * * *", # 每天凌晨2点
|
|
retention_days=30,
|
|
encryption_enabled=True,
|
|
compression_enabled=True,
|
|
storage_location="s3://insightflow-backups/"
|
|
)
|
|
|
|
self.log(f"Created backup job: {job.name} (ID: {job.id})")
|
|
self.log(f" Schedule: {job.schedule}")
|
|
self.log(f" Retention: {job.retention_days} days")
|
|
|
|
# 获取备份任务列表
|
|
jobs = self.manager.list_backup_jobs(self.tenant_id)
|
|
assert len(jobs) >= 1
|
|
self.log(f"Listed {len(jobs)} backup jobs")
|
|
|
|
# 执行备份
|
|
record = self.manager.execute_backup(job.id)
|
|
|
|
if record:
|
|
self.log(f"Executed backup: {record.id}")
|
|
self.log(f" Status: {record.status.value}")
|
|
self.log(f" Storage: {record.storage_path}")
|
|
|
|
# 获取备份记录列表
|
|
records = self.manager.list_backup_records(self.tenant_id)
|
|
self.log(f"Listed {len(records)} backup records")
|
|
|
|
# 测试恢复（模拟）
|
|
restore_result = self.manager.restore_from_backup(record.id)
|
|
self.log(f"Restore test result: {restore_result}")
|
|
|
|
# 清理
|
|
with self.manager._get_db() as conn:
|
|
conn.execute("DELETE FROM backup_records WHERE tenant_id = ?", (self.tenant_id,))
|
|
conn.execute("DELETE FROM backup_jobs WHERE tenant_id = ?", (self.tenant_id,))
|
|
conn.commit()
|
|
self.log("Cleaned up backup test data")
|
|
|
|
except Exception as e:
|
|
self.log(f"Backup test failed: {e}", success=False)
|
|
|
|
def test_cost_optimization(self):
|
|
"""测试成本优化"""
|
|
print("\n💰 Testing Cost Optimization...")
|
|
|
|
try:
|
|
# 记录资源利用率数据
|
|
report_date = datetime.now().strftime("%Y-%m-%d")
|
|
|
|
for i in range(5):
|
|
self.manager.record_resource_utilization(
|
|
tenant_id=self.tenant_id,
|
|
resource_type=ResourceType.CPU,
|
|
resource_id=f"server-{i:03d}",
|
|
utilization_rate=0.05 + random.random() * 0.1, # 低利用率
|
|
peak_utilization=0.15,
|
|
avg_utilization=0.08,
|
|
idle_time_percent=0.85,
|
|
report_date=report_date,
|
|
recommendations=["Consider downsizing this resource"]
|
|
)
|
|
|
|
self.log("Recorded 5 resource utilization records")
|
|
|
|
# 生成成本报告
|
|
now = datetime.now()
|
|
report = self.manager.generate_cost_report(
|
|
tenant_id=self.tenant_id,
|
|
year=now.year,
|
|
month=now.month
|
|
)
|
|
|
|
self.log(f"Generated cost report: {report.id}")
|
|
self.log(f" Period: {report.report_period}")
|
|
self.log(f" Total cost: {report.total_cost} {report.currency}")
|
|
self.log(f" Anomalies detected: {len(report.anomalies)}")
|
|
|
|
# 检测闲置资源
|
|
idle_resources = self.manager.detect_idle_resources(self.tenant_id)
|
|
self.log(f"Detected {len(idle_resources)} idle resources")
|
|
|
|
# 获取闲置资源列表
|
|
idle_list = self.manager.get_idle_resources(self.tenant_id)
|
|
for resource in idle_list:
|
|
self.log(
|
|
f" Idle resource: {
|
|
resource.resource_name} (est. cost: {
|
|
resource.estimated_monthly_cost}/month)")
|
|
|
|
# 生成成本优化建议
|
|
suggestions = self.manager.generate_cost_optimization_suggestions(self.tenant_id)
|
|
self.log(f"Generated {len(suggestions)} cost optimization suggestions")
|
|
|
|
for suggestion in suggestions:
|
|
self.log(f" Suggestion: {suggestion.title}")
|
|
self.log(f" Potential savings: {suggestion.potential_savings} {suggestion.currency}")
|
|
self.log(f" Confidence: {suggestion.confidence}")
|
|
self.log(f" Difficulty: {suggestion.difficulty}")
|
|
|
|
# 获取优化建议列表
|
|
all_suggestions = self.manager.get_cost_optimization_suggestions(self.tenant_id)
|
|
self.log(f"Listed {len(all_suggestions)} optimization suggestions")
|
|
|
|
# 应用优化建议
|
|
if all_suggestions:
|
|
applied = self.manager.apply_cost_optimization_suggestion(all_suggestions[0].id)
|
|
if applied:
|
|
self.log(f"Applied optimization suggestion: {applied.title}")
|
|
assert applied.is_applied
|
|
assert applied.applied_at is not None
|
|
|
|
# 清理
|
|
with self.manager._get_db() as conn:
|
|
conn.execute("DELETE FROM cost_optimization_suggestions WHERE tenant_id = ?", (self.tenant_id,))
|
|
conn.execute("DELETE FROM idle_resources WHERE tenant_id = ?", (self.tenant_id,))
|
|
conn.execute("DELETE FROM resource_utilizations WHERE tenant_id = ?", (self.tenant_id,))
|
|
conn.execute("DELETE FROM cost_reports WHERE tenant_id = ?", (self.tenant_id,))
|
|
conn.commit()
|
|
self.log("Cleaned up cost optimization test data")
|
|
|
|
except Exception as e:
|
|
self.log(f"Cost optimization test failed: {e}", success=False)
|
|
|
|
def print_summary(self):
|
|
"""打印测试总结"""
|
|
print("\n" + "=" * 60)
|
|
print("Test Summary")
|
|
print("=" * 60)
|
|
|
|
total = len(self.test_results)
|
|
passed = sum(1 for _, success in self.test_results if success)
|
|
failed = total - passed
|
|
|
|
print(f"Total tests: {total}")
|
|
print(f"Passed: {passed} ✅")
|
|
print(f"Failed: {failed} ❌")
|
|
|
|
if failed > 0:
|
|
print("\nFailed tests:")
|
|
for message, success in self.test_results:
|
|
if not success:
|
|
print(f" ❌ {message}")
|
|
|
|
print("=" * 60)
|
|
|
|
|
|
def main():
|
|
"""主函数"""
|
|
test = TestOpsManager()
|
|
test.run_all_tests()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|