fix: FALLBACK_MODEL 顶层导入（NameError 曾中断批量重评）

deploy/profile-scripts/batch_reassess.py

@@ -16,7 +16,7 @@ from datetime import datetime
 # ── 共享 LLM 客户端 + DB 工具（profile-scripts 硬链到同目录）──
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 sys.path.insert(0, "/home/hmo/MoFin")
-from llm_client import call_llm, REASSESS_MODEL, gateway_alive, ocg_alive
+from llm_client import call_llm, REASSESS_MODEL, FALLBACK_MODEL, gateway_alive, ocg_alive
 from mofin_db import snapshot_strategy_history, sync_recommend_tag
 
 DB = "/home/hmo/MoFin/data/mofin.db"
@@ -429,8 +429,7 @@ def process_stock(code, force_today=False):
     # ── 截断保护：输出过短且无信号 = 低质输出，升级 pro 重试一次 ──
     if not parsed.get("signal") and len(full_text) < 1500:
         print(f"  ⚠️ 输出截断({len(full_text)}字)且无信号，升级 {FALLBACK_MODEL} 重试...", flush=True)
-        from llm_client import FALLBACK_MODEL as _FBM
-        result2 = call_llm(prompt, model=_FBM, max_tokens=4096)
+        result2 = call_llm(prompt, model=FALLBACK_MODEL, max_tokens=4096)
         if result2["ok"] and len((result2.get("content") or "").strip()) > len(full_text):
             full_text = result2["content"]
             parsed = parse_response(full_text)