feat(lotto): /api/lotto/best에 5종 점수 array 노출 (agent-office sim_consensus 입력)

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

lotto/app/db.py

@@ -645,30 +645,49 @@ def replace_best_picks(
 
 
 def get_best_picks(limit: int = 20) -> List[Dict[str, Any]]:
-    """현재 활성화된 best_picks 조회 (점수 내림차순)"""
+    """현재 활성화된 best_picks 조회 (점수 내림차순).
+
+    simulation_candidates와 LEFT JOIN하여 5종 점수 배열(scores)을 포함.
+    매칭 키: sc.run_id = bp.source_run_id AND sc.numbers = bp.numbers
+    LEFT JOIN 미매칭(NULL) 시 scores는 [0.0, 0.0, 0.0, 0.0, 0.0] 반환.
+    """
     with _conn() as conn:
         rows = conn.execute(
             """
-            SELECT id, numbers, score_total, rank_in_run, source_run_id, based_on_draw, created_at
-            FROM best_picks
-            WHERE is_active = 1
-            ORDER BY score_total DESC
+            SELECT bp.id, bp.numbers, bp.score_total, bp.rank_in_run,
+                   bp.source_run_id, bp.based_on_draw, bp.created_at,
+                   sc.score_frequency, sc.score_fingerprint,
+                   sc.score_gap, sc.score_cooccur, sc.score_diversity
+            FROM best_picks bp
+            LEFT JOIN simulation_candidates sc
+              ON sc.run_id = bp.source_run_id
+             AND sc.numbers = bp.numbers
+            WHERE bp.is_active = 1
+            ORDER BY bp.score_total DESC
             LIMIT ?
             """,
             (limit,),
         ).fetchall()
-    return [
-        {
+    result = []
+    for r in rows:
+        scores = [
+            float(r["score_frequency"] or 0.0),
+            float(r["score_fingerprint"] or 0.0),
+            float(r["score_gap"] or 0.0),
+            float(r["score_cooccur"] or 0.0),
+            float(r["score_diversity"] or 0.0),
+        ]
+        result.append({
             "id": int(r["id"]),
             "numbers": json.loads(r["numbers"]),
             "score_total": r["score_total"],
+            "scores": scores,
             "rank_in_run": r["rank_in_run"],
             "source_run_id": r["source_run_id"],
             "based_on_draw": r["based_on_draw"],
             "created_at": r["created_at"],
-        }
-        for r in rows
-    ]
+        })
+    return result
 
 
 def get_simulation_runs(limit: int = 10) -> List[Dict[str, Any]]:

lotto/app/main.py

@@ -435,6 +435,7 @@ def api_best_picks(limit: int = 20):
             "rank": p["rank_in_run"],
             "numbers": nums,
             "score_total": p["score_total"],
+            "scores": p["scores"],
             "based_on_draw": p["based_on_draw"],
             "simulation_run_id": p["source_run_id"],
             "created_at": p["created_at"],