feat: 批量重评分片并发（老爸：这么多key不能并发？）

- batch_reassess --shard K/N: index%N==K分片,N进程互不重叠
- llm_client LLM_KEY_OFFSET: key池起始位错开,避免N进程压同一首选key
- SKIP_FLUSH=1时worker不发摘要,parallel_batch.sh收尾统一flush
- parallel_batch.sh: N路并行+等待+统一digest

deploy/profile-scripts/batch_reassess.py

@@ -633,8 +633,18 @@ def main():
                 "SELECT code FROM holding_strategies WHERE status='active' ORDER BY decision_type, code").fetchall()
         conn.close()
         codes = [r[0] for r in rows]
-    
-    print(f"待处理: {len(codes)}只 (type={dtype or 'all'}, force_today={force_today})")
+
+    # ── 分片并发（2026-07-24 老爸：这么多key不能并发？）──
+    # --shard K/N：本 worker 只处理 index%N==K 的股票，N 个进程并发互不重叠。
+    _shard_k, _shard_n = 0, 1
+    if "--shard" in sys.argv:
+        _sk = sys.argv[sys.argv.index("--shard") + 1]  # 格式 K/N
+        _shard_k, _shard_n = int(_sk.split("/")[0]), int(_sk.split("/")[1])
+    if _shard_n > 1:
+        codes = [c for i, c in enumerate(codes) if i % _shard_n == _shard_k]
+
+    print(f"待处理: {len(codes)}只 (type={dtype or 'all'}, force_today={force_today}"
+          + (f", shard={_shard_k}/{_shard_n}" if _shard_n > 1 else "") + ")")
     
     ok = 0
     fail = 0
@@ -679,11 +689,13 @@ def main():
     print(f"完成: {ok}成功, {fail}失败, {skip}跳过")
     print(f"{'='*50}")
     # ── 推荐摘要：本轮新增推荐聚成一条推送（防逐只轰炸）──
-    try:
-        from mofin_db import flush_rec_digest
-        flush_rec_digest()
-    except Exception as _e:
-        print(f"  ⚠️ 推荐摘要发送失败: {_e}")
+    # 并发分片模式（SKIP_FLUSH=1）下由 launcher 统一 flush，避免先到者发半成品摘要
+    if not os.environ.get("SKIP_FLUSH"):
+        try:
+            from mofin_db import flush_rec_digest
+            flush_rec_digest()
+        except Exception as _e:
+            print(f"  ⚠️ 推荐摘要发送失败: {_e}")
 
 if __name__ == "__main__":
     main()