fix(lotto-lab): 코드 리뷰 이슈 수정 — update_purchase JSON 직렬화, EMA 피드백 루프 연결

- update_purchase에서 numbers/is_real 타입 변환 추가 (런타임 에러 방지)
- purchase_manager에서 evolve_after_check 호출하여 EMA 피드백 루프 활성화
- checker.py 중복 recalculate_weights 호출 제거

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/app/checker.py

@@ -66,10 +66,7 @@ def check_results_for_draw(drw_no: int) -> int:
     # ── 구매 이력 체크 연동 ──────────────────────────────────────
     try:
         from .purchase_manager import check_purchases_for_draw as _check_purchases
-        purchase_count = _check_purchases(drw_no)
+        _check_purchases(drw_no)  # 내부에서 evolve_after_check → recalculate_weights 호출
-        if purchase_count > 0:
-            from .strategy_evolver import recalculate_weights
-            recalculate_weights()
     except ImportError:
         pass  # purchase_manager 미설치 시 무시 (하위호환)
 

backend/app/db.py

@@ -880,12 +880,18 @@ def get_purchases(draw_no: int = None, days: int = None,
 
 
 def update_purchase(purchase_id: int, data: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+    import json as _json
     allowed = {"draw_no", "amount", "sets", "prize", "note", "numbers", "is_real", "source_strategy"}
     updates = {k: v for k, v in data.items() if k in allowed}
     if not updates:
         with _conn() as conn:
             row = conn.execute("SELECT * FROM purchase_history WHERE id = ?", (purchase_id,)).fetchone()
         return _purchase_row_to_dict(row) if row else None
+    # SQLite에 전달 전 타입 변환
+    if "numbers" in updates:
+        updates["numbers"] = _json.dumps(updates["numbers"], ensure_ascii=False)
+    if "is_real" in updates:
+        updates["is_real"] = 1 if updates["is_real"] else 0
     set_clause = ", ".join(f"{k} = ?" for k in updates)
     with _conn() as conn:
         cur = conn.execute(

backend/app/purchase_manager.py

@@ -63,8 +63,10 @@ def check_purchases_for_draw(drw_no: int) -> int:
                 "max_correct": 0,
                 "prize_total": 0,
                 "scores": [],
+                "_results": [],
             }
         agg = strategy_agg[strat]
+        agg["_results"].extend(results)
         for r in results:
             agg["sets_count"] += 1
             agg["total_correct"] += r["correct"]
@@ -86,5 +88,12 @@ def check_purchases_for_draw(drw_no: int) -> int:
             avg_score=round(avg_score, 4),
         )
 
+        # EMA 피드백 루프: 전략 가중치 진화
+        try:
+            from .strategy_evolver import evolve_after_check
+            evolve_after_check(strat, drw_no, agg["_results"])
+        except Exception:
+            logger.debug(f"[purchase_manager] evolve_after_check 건너뜀: {strat}")
+
     logger.info(f"[purchase_manager] {drw_no}회차 구매 {count}건 체크 완료")
     return count