Update the map engagement scoring formula to match plan §14.6:
- score = win_prob_crossings * 3.0 + critical_moments * 2.0 +
resource_contest_turns * 1.5 + survival_turns * 0.5
New metrics computed from replay data:
- resource_contest_turns: turns where energy is contested by multiple players
- survival_turns: turns where all players have at least one bot alive
The old formula used map_coverage_pct, closeness, and turn_pct which
did not match the specification.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Add map_engagement_test.go with tests for:
- Win prob dependency in map engagement (lead changes counted)
- Critical moments dependency in engagement score
- Empty/nil replay handling
- Complete ComputeWinProbability + SetWinProbability flow
This confirms the existing implementation already correctly:
- Computes win probability via Monte Carlo rollout (100 iterations)
- Sets win_prob and critical_moments on replay before serialization
- Calculates map engagement score from win_prob_crossings and critical_moments
- Writes engagement score to maps table via UpdateMapEngagement
Task: bf-qps
