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

scripts/strategy_review.py

@@ -14,6 +14,7 @@ import json, sqlite3, sys, time, urllib.request
 from pathlib import Path
 from datetime import datetime
 from collections import Counter
+from mo_data import read_portfolio, read_decisions, read_watchlist
 
 BASE = Path("/home/hmo/MoFin")
 DATA = BASE / "data"
@@ -198,7 +199,7 @@ def evaluate_strategy(s, price):
 
 def review():
     start = time.time()
-    decisions = json.loads(DECISIONS_PATH.read_text())
+    decisions = mo_data.read_decisions()
     strategies = decisions.get("decisions", [])
 
     conn = sqlite3.connect(str(DB_PATH))