The previous approach accumulated per-game deltas into season stats rows,
which was fragile — partial processing corrupted stats, upsert bugs
compounded, and there was no self-healing mechanism.
Now update_season_stats() recomputes full season totals from all StratPlay
rows for each affected player whenever a game is processed. The result
replaces whatever was stored, eliminating double-counting and enabling
self-healing via force=True.
Also fixes:
- evolution_evaluator.py: broken PlayerSeasonStats import → queries
BattingSeasonStats or PitchingSeasonStats based on card_type
- evolution_evaluator.py: r.k → r.strikeouts
- test_evolution_models.py, test_postgame_evolution.py: PlayerSeasonStats
→ BattingSeasonStats (model never existed)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Implements two new API endpoints the bot calls after a game completes:
POST /api/v2/season-stats/update-game/{game_id}
Delegates to update_season_stats() service (WP-05). Returns
{"updated": N, "skipped": bool} with idempotency via ProcessedGame ledger.
POST /api/v2/evolution/evaluate-game/{game_id}
Finds all (player_id, team_id) pairs from the game's StratPlay rows,
calls evaluate_card() for each pair that has an EvolutionCardState,
and returns {"evaluated": N, "tier_ups": [...]} with full tier-up detail.
New files:
app/services/evolution_evaluator.py — evaluate_card() service (WP-08)
tests/test_postgame_evolution.py — 10 integration tests (all pass)
Modified files:
app/routers_v2/season_stats.py — rewritten to delegate to the service
app/routers_v2/evolution.py — evaluate-game endpoint added
app/main.py — season_stats router registered
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
