feat: mo_data.py unified read layer (DB-first, JSON fallback) + cash_log table + batch JSON→DB migration (16 files)

stock_profile.py

@@ -10,6 +10,7 @@ import os
 import urllib.request
 from datetime import datetime
 from typing import Optional
+from mo_data import read_portfolio, read_decisions, read_watchlist
 
 DATA_DIR = "/home/hmo/web-dashboard/data"
 MTF_CACHE_PATH = os.path.join(DATA_DIR, "multi_tf_cache.json")
@@ -286,7 +287,7 @@ def classify_stock(f: dict, mtf: dict, macro: dict) -> dict:
     # 1. 深套检查
     cost = 0
     try:
-        pf = json.load(open(PORTFOLIO_PATH))
+        pf = mo_data.read_portfolio()
         for h in pf.get("holdings", []):
             if h.get("code") == f.get("code"):
                 cost = h.get("cost", 0) or 0