Complete implementation of wipe analytics system providing operational
insights and data-driven wipe timing optimization.
Backend:
- Added comprehensive analytics query layer to db/wipes.rs:
- Success rate calculation over time ranges
- Average wipe duration tracking
- Post-wipe population curve analysis (Day 1/2/3)
- Optimal wipe timing recommendations based on player peaks
- Individual wipe entry tracking with peak population correlation
- Implemented GET /api/analytics/wipes/performance endpoint with
flexible range parameters (6d/12d/90d/all)
- All queries leverage hourly aggregate tables for 90-day retention
Frontend:
- Built WipeAnalyticsView.vue with 3 ECharts visualizations:
- Success rate timeline (scatter: green success, red failures)
- Population curve comparing Day 1/2/3 post-wipe averages
- Wipe duration trend showing execution time evolution
- Insight cards displaying success rate, avg duration, peak day, optimal timing
- Actionable recommendations banner with data-driven suggestions:
- Optimal wipe scheduling based on historical player peaks
- Wipe frequency recommendations (weekly vs bi-weekly)
- Duration optimization alerts
- Rollback protection warnings
- Time range selector and CSV export functionality
- Added /wipes/analytics route
TypeScript interfaces added: WipePerformanceMetrics, WipeAnalyticsEntry,
PopulationCurve
Answers critical operational questions: "How long do wipes take? When do
players peak post-wipe? What's my success rate? When should I wipe for
maximum population?"
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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