refactor: 消费者切 SQLite 优先读取

切换策略: SQLite 优先 → 失败回退 JSON

price_events (100%覆盖):
- strategy_feedback.py: run() 优先 query_price_events()
- system_health_check.py: 优先 query_price_events() + query_price_events_by_date()

stock_sector_map (100%覆盖):
- strategy_lifecycle.py: load_stock_sector_map() 优先 stock_sectors 表

market.json (85%覆盖):
- strategy_lifecycle.py: load_market_context() 优先 query_latest_market()
- market_insight.py: generate() 优先 query_latest_market()

portfolio.json + watchlist.json (70%覆盖):
- strategy_lifecycle.py: regenerate_all() 优先 query_holdings() + query_watchlist()
- server.py: /api/portfolio, /api/watchlist, /api/overview, /api/market 优先 SQLite

所有改动保留 JSON 回退路径，SQLite 不可用时自动降级

market_insight.py

@@ -55,17 +55,38 @@ def load_holding_industry_map():
 
 
 def generate():
-    # 加载数据
-    market_path = DATA_DIR / "market.json"
-    with open(market_path, "r", encoding="utf-8") as f:
-        market = json.load(f)
-
-    sectors = market.get("sectors", [])
-    top_gainers = market.get("top_gainers", [])
-    top_losers = market.get("top_losers", [])
-    mood = market.get("mood", "unknown")
-    up_ratio = market.get("up_ratio", 0)
-    timestamp = market.get("timestamp", "")
+    # 优先从 SQLite 读取市场数据
+    try:
+        from mofin_db import get_conn, query_latest_market
+        conn = get_conn()
+        market = query_latest_market(conn)
+        conn.close()
+        if market and market.get("sectors"):
+            sectors = market["sectors"]
+            top_gainers = market.get("top_gainers", [])
+            top_losers = market.get("top_losers", [])
+            mood = market.get("mood", "unknown")
+            up_ratio = market.get("up_ratio", 0)
+            timestamp = market.get("timestamp", "")
+            # 字段名适配
+            for s in sectors:
+                s["change"] = s.get("change_pct", 0)
+            for g in top_gainers:
+                g["change"] = g.get("change_pct", 0)
+            for l in top_losers:
+                l["change"] = l.get("change_pct", 0)
+        else:
+            raise Exception("no data")
+    except Exception:
+        market_path = DATA_DIR / "market.json"
+        with open(market_path, "r", encoding="utf-8") as f:
+            market = json.load(f)
+        sectors = market.get("sectors", [])
+        top_gainers = market.get("top_gainers", [])
+        top_losers = market.get("top_losers", [])
+        mood = market.get("mood", "unknown")
+        up_ratio = market.get("up_ratio", 0)
+        timestamp = market.get("timestamp", "")
 
     industry_holdings = load_holding_industry_map()
     insights = []