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/parallel_batch.sh

@@ -0,0 +1,21 @@
+#!/bin/bash
+# parallel_batch.sh — 并发批量12维重评（分片+key池偏移+统一flush）
+# 用法: bash parallel_batch.sh [N] [type]
+#   N=worker数(默认4)  type=holding|watchlist|all(默认all)
+N=${1:-4}
+TYPE=${2:-all}
+cd /home/hmo/MoFin/deploy/profile-scripts
+echo "[parallel] launching $N workers (type=$TYPE) at $(date '+%F %T')"
+pids=()
+for ((k=0; k<N; k++)); do
+  SKIP_FLUSH=1 LLM_KEY_OFFSET=$k python3 batch_reassess.py --type "$TYPE" --shard "$k/$N" \
+    > "/tmp/reassess_parallel_w$k.log" 2>&1 &
+  pids+=($!)
+  echo "[parallel] worker $k pid=${pids[$k]}"
+done
+for p in "${pids[@]}"; do wait "$p"; done
+echo "[parallel] all workers done at $(date '+%F %T')"
+# 统一推荐摘要（防各worker半成品）
+python3 -c "from mofin_db import flush_rec_digest; flush_rec_digest()"
+echo "[parallel] digest flushed"
+grep -h "^完成:" /tmp/reassess_parallel_w*.log