92576dbed4
- Add engine.CalculateMapEngagement() to compute map engagement scores from replay data (win_prob_crossings, critical_moments, map_coverage_pct, closeness, turn_pct) - Add DBClient.UpdateMapEngagement() to update map engagement using rolling average - Worker now calculates and writes map engagement scores after each match - Add test to verify win_prob array is non-empty in produced replays This implements the win probability Monte Carlo array storage in replay JSON feature. The engine already called ComputeWinProbability() in MatchRunner.Run(), so this commit adds the missing map engagement tracking. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| .. | ||
| api.go | ||
| b2.go | ||
| crash_test.go | ||
| crypto.go | ||
| db.go | ||
| Dockerfile | ||
| glicko2.go | ||
| main.go | ||
| metrics.go | ||
| metrics_test.go | ||