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>
303 lines
14 KiB
Markdown
303 lines
14 KiB
Markdown
# CHANGELOG — Corrosion Admin Panel
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All notable changes to this project will be documented in this file.
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## [Unreleased]
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### Added (Phase 2 — Wipe Performance Analytics)
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**Backend:**
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- `backend/src/db/wipes.rs` — Comprehensive wipe analytics query layer:
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- `get_wipe_success_rate()` — Success vs failure rate over time range
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- `get_average_wipe_duration()` — Average execution time for successful wipes
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- `get_wipe_to_peak_population()` — Hours from wipe completion to peak player count (24h window)
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- `get_population_curve_by_cycle()` — Day 1 vs Day 2 vs Day 3 average player counts post-wipe
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- `get_optimal_wipe_timing()` — Recommends best day of week + hour based on historical peak populations
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- `get_wipe_analytics_entries()` — Detailed per-wipe records for charting (duration, peak pop, success)
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- All queries use hourly aggregates (`server_stats_hourly`) with 90-day retention
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- `backend/src/api/analytics.rs` — Wipe performance endpoint:
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- `GET /api/analytics/wipes/performance?range=90d` — Returns full wipe performance metrics
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- Supports range params: `6d`, `12d`, `90d`, `all` (converted to wipe count estimates)
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- Response includes: success rate, avg duration, population curve, optimal timing, individual wipe entries
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**Frontend:**
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- `WipeAnalyticsView.vue` — Complete wipe performance dashboard:
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- **ECharts Visualizations:**
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- Wipe success timeline (scatter plot: green = success, red = failed)
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- Population curve bar chart (Day 1/Day 2/Day 3 average players post-wipe)
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- Wipe duration trend (line chart showing execution time evolution)
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- **Insight Cards:**
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- Success rate percentage with total wipe count
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- Average wipe duration (formatted as minutes:seconds)
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- Peak population day identifier
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- Optimal wipe timing recommendation (day + hour)
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- **Actionable Recommendations Banner:**
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- Optimal wipe day/hour based on post-wipe player peaks
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- Weekly vs bi-weekly wipe suggestion (if Day 1 >> Day 2 population)
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- Duration optimization alerts (if avg > 10 minutes)
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- Rollback protection warnings (if failures detected)
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- Time range selector: Last 6 wipes / Last 12 wipes / All time
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- CSV export functionality
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- Added route `/wipes/analytics` to router
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- TypeScript interfaces: `WipePerformanceMetrics`, `WipeAnalyticsEntry`, `PopulationCurve`
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**Purpose:** Answers critical questions: "How long do wipes take? When do players peak post-wipe? What's my success rate? When should I schedule wipes for max population?" Enables data-driven wipe timing optimization and operational insights.
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### Added (Phase 3 — Public Status Page)
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**Backend:**
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- Migration 007: Added `status_page_description` TEXT column to `public_site_config`
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- Public API models (`models/public.rs`):
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- `PublicServerStatus` — Server status with live stats for public display
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- `PlatformHealth` — Platform-wide health metrics (total servers, online count, total players, uptime)
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- `StatusPageResponse` — Complete status page data structure
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- `PublicSiteConfig` — Full public site configuration model
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- Public database queries (`db/public.rs`):
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- `get_public_servers()` — Retrieves all opted-in servers with current stats, uptime percentages (24h/7d/30d), wipe schedules
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- `get_platform_health()` — Calculates platform-wide aggregate metrics
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- `calculate_uptime_percentage()` — Uptime calculation from hourly stats
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- `format_cron_expression()` — Human-readable wipe schedule formatting
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- `get_public_site_config()` / `create_public_site_config()` / `update_public_site_config()` — Config management
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- Public API endpoint (`api/public.rs`):
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- `GET /api/public/status` — Public status page data (no auth required)
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- Settings API (`api/settings.rs`):
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- `GET /api/settings/public-site` — Fetch public site config (auth required)
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- `PUT /api/settings/public-site` — Update status page opt-in and description (auth required)
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**Frontend:**
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- `StatusPageView.vue` — Complete public status page with:
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- Platform health header (total servers, online now, total players, platform uptime)
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- Server grid with status indicators (green/yellow/red), player counts, uptime badges (24h/7d/30d)
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- Wipe schedule display with countdown timers
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- Server search/filter functionality
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- Auto-refresh every 10 seconds via polling
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- Mobile-responsive grid layout
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- "Powered by Corrosion" footer with panel link
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- Settings dashboard integration (`SettingsView.vue`):
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- New "Public Status" tab with toggle for `show_on_status_page`
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- Text area for `status_page_description`
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- Save endpoint integration
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**Infrastructure:**
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- nginx already configured for `status.corrosionmgmt.com` routing
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- Router already configured with `/status` route on both panel and marketing domains
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**Purpose:** Public-facing marketing page showcasing all Corrosion servers. Drives platform visibility and attracts new customers ("I want this for my server too").
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### Added (Phase 2.2 — Player Retention Analytics)
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**Backend:**
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- Migration `004_player_sessions.sql` — Player session tracking table with indexes for retention queries
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- `backend/src/db/player_sessions.rs` — Complete player session tracking and retention analysis:
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- `track_player_join()` / `track_player_leave()` — Record individual player sessions
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- `calculate_retention_after_wipe()` — Calculate 24h/48h/72h return rates per wipe
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- `get_unique_player_count()` / `get_avg_session_duration()` — Session metrics
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- `get_new_vs_returning_ratio()` — New vs returning player analysis
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- `get_recent_wipe_retention_metrics()` — Multi-wipe retention trends
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- `cleanup_old_player_sessions()` — 90-day retention cleanup
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- `backend/src/api/plugin.rs` — Plugin event endpoints:
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- `POST /api/plugin/player-event` — Track player join/leave events
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- `POST /api/plugin/checkin` — Plugin registration on server start
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- Extended `backend/src/api/analytics.rs` with retention endpoints:
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- `GET /api/analytics/retention?wipe_count=6` — Multi-wipe retention metrics
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- `GET /api/analytics/retention/export` — CSV export of retention data
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**Frontend:**
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- `PlayerRetentionView.vue` — Complete retention analytics dashboard:
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- ECharts retention curve (24h/48h/72h lines across multiple wipes)
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- Summary cards: unique players, avg session duration, new vs returning ratio
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- Wipe selector (last 3/6/10/20 wipes)
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- Detailed wipe table with retention percentages
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- CSV export functionality
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- Added route `/retention` to router
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- TypeScript interfaces: `WipeRetentionMetric`, `SessionSummary`, `RetentionResponse`
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**Plugin:**
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- Updated `CorrosionCompanion.cs` to track player events via `/api/plugin/player-event`
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- Modified `OnPlayerConnected` / `OnPlayerDisconnected` hooks with license_key authentication
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**Purpose:** Answers critical question: "What percentage of players return 24h/48h/72h after a wipe?" Enables data-driven wipe timing optimization and player retention analysis.
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### Added (Phase 2.2 — Map Analytics System)
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**Backend:**
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- Migration 005: Added `map_id` FK to `server_stats` and `wipe_history` for map effectiveness tracking
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- Stats consumer now captures `current_map_id` from `server_config` when persisting stats
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- Map analytics database queries (`db/maps.rs`):
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- `get_map_analytics()` — Returns performance metrics per map (avg/peak players, times used, effectiveness score)
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- `get_map_population_trends()` — Player count trends per map over wipe cycles
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- Effectiveness scoring algorithm: (avg_players / peak_players) * 100
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- Analytics API endpoint (`api/analytics.rs`):
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- `GET /api/analytics/maps?range=90d` — Map performance summary with rotation effectiveness
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**Frontend:**
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- `MapAnalyticsView.vue` — Complete map effectiveness dashboard with:
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- Summary cards: Best performing map, rotation effectiveness %, total maps tracked
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- ECharts bar chart comparing avg vs peak players per map
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- Sortable performance table with effectiveness color coding (green ≥80%, yellow ≥60%, red <60%)
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- Actionable insights section recommending rotation improvements
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- CSV export functionality
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- Time range selector (30d/90d/all)
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- TypeScript types: `MapPerformanceMetrics`, `MapAnalyticsSummary`
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- Router: Added `/maps/analytics` route under admin dashboard
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**Purpose:** Answers "Which maps drive the most players? Is my rotation working?" Enables data-driven map selection for wipe day.
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### Added (Phase 2 — Data Aggregation Pipeline)
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**Backend:**
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- Stats ingestion consumer service (`stats_consumer.rs`) subscribing to `corrosion.*.stats` NATS subject
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- Complete stats database queries (`db/stats.rs`) with support for:
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- Raw stats insertion and retrieval
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- Hourly aggregation queries
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- Analytics summary calculations (peak/avg players, uptime)
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- Data retention cleanup (7 days raw, 90 days hourly)
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- Hourly stats aggregation scheduler job (runs at :05 past every hour)
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- Daily cleanup scheduler job (runs at 03:00 UTC)
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- Analytics API endpoints (`api/analytics.rs`):
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- `GET /api/analytics/summary` — Peak/avg players, uptime percentage
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- `GET /api/analytics/timeseries` — Time-series data for charting (hourly/raw granularity)
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- `GET /api/analytics/export` — CSV export of server stats
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- Background service initialization in main.rs (stats consumer + scheduler)
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**Frontend:**
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- Analytics TypeScript types (`AnalyticsSummary`, `TimeseriesData`, `HourlyStats`)
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- Complete `AnalyticsView.vue` implementation with:
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- Real-time data fetching from analytics API
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- Apache ECharts integration for Player Count and Server Performance charts
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- Time range selector (24h/7d/30d)
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- CSV export functionality
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- Loading states and responsive layout
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**Infrastructure:**
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- Made `NatsBridge.jetstream` public for service consumer access
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### Added (Sovereign Infrastructure Stack)
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**Services Deployed:**
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- **Gitea** (git.corrosionmgmt.com) — Self-hosted Git with Actions support
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- Container: `corrosion-gitea` on port 8090 (HTTP) and 8095 (SSH)
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- SQLite database (self-contained, persistent)
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- Replaces GitHub dependency for source control
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- Gitea Actions enabled for CI/CD
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- **SeaweedFS** (cdn.corrosionmgmt.com) — S3-compatible object storage and CDN
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- Container: `corrosion-cdn` with integrated Master/Volume/Filer/S3
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- Filer UI at port 8091 (cdn.corrosionmgmt.com)
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- Master UI at port 8093 (admin.cdn.corrosionmgmt.com)
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- S3 API at port 8092 (internal access)
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- Purpose: Map hosting, plugin packages, companion binaries, backups
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- **Gitea Act Runner** (asgard build server) — CI/CD execution environment
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- Runs on Ryzen 9 7945HX (16C/32T, 64GB DDR5)
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- Docker-based job execution
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- Go 1.21+ and Rust toolchains available
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- Connects to public Gitea instance remotely
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**CI/CD Workflows:**
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- `test-runner.yml` — Runner capability validation (hostname, resources, toolchains)
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- `build-companion.yml` — Production companion agent build pipeline:
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- Triggers on version tags (v*.*.*)
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- Cross-compiles for Linux AMD64 and Windows AMD64
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- Generates SHA256 checksums
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- Creates Gitea release with auto-generated installation instructions
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- Uploads binaries and checksums as release assets
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**Documentation:**
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- `infra/docker-compose.yml` — Infrastructure stack definition
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- `infra/README.md` — Deployment guide and architecture overview
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- `infra/NPM-CONFIG.md` — Nginx Proxy Manager configuration
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- `infra/ASGARD-RUNNER.md` — Act runner setup guide
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**Repository Migration:**
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- Migrated from GitHub to self-hosted Gitea
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- Remote updated to `git@git.corrosionmgmt.com:vantzs/corrosion-admin-panel.git`
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- All future development on sovereign infrastructure
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### Technical Details
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**Data Flow:**
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```
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Plugin/Agent publishes stats (60s interval)
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→ NATS JetStream (corrosion.*.stats)
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→ StatsConsumerService persists to server_stats table
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→ Hourly aggregation job rolls up to server_stats_hourly
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→ Analytics API queries aggregated data
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→ Frontend renders charts via ECharts
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```
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**Database Schema:**
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- `server_stats` table (raw stats, 7-day retention)
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- `server_stats_hourly` table (aggregated hourly data, 90-day retention)
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**Scheduler Jobs:**
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- Hourly aggregation: `0 5 * * * *` (at :05 past every hour)
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- Daily cleanup: `0 0 3 * * *` (at 03:00 UTC)
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### Installation Notes
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**Frontend:**
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```bash
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cd frontend && npm install echarts
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```
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**Backend:**
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No additional dependencies beyond existing `Cargo.toml`.
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### Deferred to Phase 2.2
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- Player retention tracking (new vs returning players, session duration)
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- Wipe-correlated analytics
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- Player activity heatmaps (time-of-day patterns)
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- Anomaly alerting system
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---
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## [2025-02-15] — Phase 1 Complete
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### Added (Phase 1 — Foundation)
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**Backend Services:**
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- Core control plane (Axum + Tokio)
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- Auto-wiper with rollback (`wipe_engine.rs`)
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- Plugin management system
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- WebSocket/NATS bridge for real-time data
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- Companion agent adapter (bare metal server management)
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- Panel adapters (AMP + Pterodactyl)
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**Frontend:**
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- Vue 3 dashboard with 19 admin sub-views
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- Wipe management UI with real-time progress
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- Toast notification system
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- Plugin management interface
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- Public server site
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**Infrastructure:**
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- PostgreSQL schema (migrations 001-003)
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- NATS JetStream streams (6 streams configured)
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- Docker Compose deployment (4 services)
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- JWT auth with refresh tokens, TOTP 2FA
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**Companion Agent:**
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- Go binary for bare metal server management
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- NATS-based command execution
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- Process lifecycle control
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- File operations support
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**uMod Plugin:**
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- C# plugin for Rust game server integration
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- Stats publishing every 60 seconds
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- Server lifecycle event reporting
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### Commits
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- `c5d0571` — feat: Complete Phase 1 frontend — WebSocket + Wipe feature end-to-end
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- `590765f` — feat: Complete Phase 1 backend services and WebSocket/NATS bridge
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- `8320591` — docs: Update companion agent language choice to Go
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- `3c39345` — docs: Add CLAUDE.md and Claude Code settings
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- `81eeb3b` — docs: Add AGENTS.md roster and resource discipline
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---
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**Format:** `type: Short description`
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**Types:** feat, fix, docs, refactor, test, chore, perf, ci
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