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feat(Metrics&Alert): 新增规则与阈值管理的表结构,核心接口,编排流程,与初步实现 #87
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Code Review CompleteCompleted comprehensive review of PR #87: feat(Metrics&Alert) - Rule and threshold management implementation SummaryThis PR introduces a rule and threshold management system for the alerting service with:
Identified IssuesHigh Confidence Issues (with suggested fixes):
Lower Confidence Issues (discussion points):
Positive Aspects
The implementation provides a solid foundation for rule management with room for production-hardening improvements. 👉 Want me to re-run this review? Just type |
Summary of ChangesHello @acd19ml, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! 此拉取请求旨在建立一个全面且灵活的告警规则与阈值管理系统。它通过引入新的数据库表结构来存储告警规则、其元数据(包括基于标签的阈值和观察窗口)以及变更日志,从而实现更精细化的控制和可审计性。同时,通过Go语言实现的核心业务逻辑和内存同步机制,确保了规则和阈值能够被高效管理并实时同步到Prometheus,极大地提升了告警配置的动态性和响应速度。 Highlights
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Code Review: Rule and Threshold Management Implementation
Found several issues requiring attention for production readiness:
Critical Issues
• Missing error handling for JSON marshaling - Could lead to SQL injection or runtime panics
• Race condition in rule deletion - String prefix matching is unsafe with similar rule names
• No transaction atomicity - Current WithTx implementation provides no guarantees
• Potential memory leaks - Ignored JSON unmarshaling errors could cause issues
Architecture Notes
• In-memory exporter design may not scale across replicas
• Consider implementing proper transaction support for production use
• Add validation for rule expressions and operators
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Code Review
本次 PR 引入了告警规则和阈值管理的核心功能,包括新的数据表结构、核心服务接口和初步实现。整体设计思路清晰,将规则模板与元数据(阈值)分离,并通过标签实现灵活的配置,这是一个很好的实践。代码结构合理,并附有详细的说明文档,值得称赞。
我在代码和文档中发现了一些可以改进的地方,主要集中在错误处理、接口设计和实现细节的健壮性上。例如,多处 json
操作忽略了错误返回,store_pg.go
中对 PostgreSQL interval
类型的处理比较脆弱,以及变更日志的幂等性 ID 生成方式可能无法满足设计初衷。此外,文档与实现之间存在一些不一致之处。
具体的建议请见下面的评论。
- Add heal_actions table and related DAO/Service layers - Implement observation window mechanism using Redis - Add P0/P1/P2 alert processing logic with fault healing - Update remediation consumer with healing and observation flows - Add comprehensive tests for new functionality - Update documentation with new healing process
变更背景和解决方案
关联issue: #42
文档更新
更新 api文档,数据库表文档,模块内部实现文档