feat(backend): F1-6 sprint2 #1 60d 消费迁移到 sandbox_replay

迁移 fdw_queries.get_consumption_60d 到 sandbox_replay.consumption_replay,
沿用 sprint 1 模式: @trace_service + @runtime_aware decorator + 显式
stat_date <= ctx.business_date 上界(与视图过滤双保险),fdw_queries 改
thin wrapper 保持 customer_service 2 处调用兼容。

双口径走查 PASS(member=2799207087163141 黄先生):
- 4a live(today=2026-05-05): 小程序 stat 卡条 60天消费 ¥115(consume_amount_60d=115.36)
- 4b sandbox=2026-04-20: 小程序 stat 卡条 60天消费 ¥89(walkthrough 测试快照 88.88)

unit test sprint1+sprint2 累计 15/15 PASS,无回归。

详见 docs/audit/changes/2026-05-06__f1_6_sprint2_consumption_60d.md

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

apps/backend/app/services/fdw_queries.py

@@ -1044,31 +1044,21 @@ def get_service_records_for_task(
     return records
 
 
-@trace_service(description_zh="获取近60天消费金额", description_en="Get 60-day consumption")
 def get_consumption_60d(
     conn: Any, site_id: int, member_id: int,
     *, etl_conn: Any = None,
 ) -> Decimal | None:
-    """
-    查询客户近 60 天消费金额。
+    """thin wrapper — F1-6 sprint 2 已迁移到 sandbox_replay.consumption_replay。
 
-    来源: app.v_dws_member_consumption_summary（DWS 预聚合表）。
-    与 board-customer spend60 维度统一口径：items_sum，60天窗口，日粒度。
-    取最新 stat_date 的快照行。
+    保持原签名兼容现有 2 处调用(customer_service 主路径 + 月度版本路径)。
+    sandbox 时光机语义由 @runtime_aware 自动注入 RuntimeContext + 视图层
+    stat_date <= business_date_now() 双重保障。
     """
-    with _fdw_context(conn, site_id, etl_conn=etl_conn) as cur:
-        cur.execute(
-            """
-            SELECT consume_amount_60d
-            FROM app.v_dws_member_consumption_summary
-            WHERE member_id = %s
-            ORDER BY stat_date DESC
-            LIMIT 1
-            """,
-            (member_id,),
-        )
-        row = cur.fetchone()
-    return Decimal(str(row[0])) if row and row[0] is not None else None
+    from app.services.sandbox_replay.consumption_replay import (
+        get_consumption_60d as _replay_impl,
+    )
+
+    return _replay_impl(conn, site_id, member_id, etl_conn=etl_conn)
 
 
 @trace_service(description_zh="获取关系指数", description_en="Get relation index")