perf: 6项性能与正确性优化

1. get_stock_name: 延迟批量保存缓存(60秒去抖)，避免每次新缓存都写文件
2. get_stock_name: 优先从DB stock_realtime_price查name，未命中再调腾讯API
3. compute_comprehensive_score: 单股模式也使用_fund_flow_cache(30分钟TTL)
4. _get_kline_from_local_db: 移除conn.autocommit=True，避免污染连接池事务模式
5. deep_analyze: K线天数从180改为120，与实时检测统一
6. detect_all_signals: 已有指标列时跳过重复calc_all_indicators

stock-html/services/score_engine.py

@@ -134,10 +134,16 @@ def compute_comprehensive_score(stock_code, stock_name, technical_score, df=None
     external_score = 0
     summaries = []
 
-    # ---- P0: 主力资金进出 ----
+    # ---- P0: 主力资金进出（带30分钟缓存，与批量模式一致）----
     try:
-        from services.fund_flow_analyzer import analyze_fund_flow
-        fund_result = analyze_fund_flow(stock_code, days=5)
+        now = time.time()
+        cached_ff = _fund_flow_cache.get(stock_code)
+        if cached_ff and (now - cached_ff[1]) < _FUND_FLOW_TTL:
+            fund_result = cached_ff[0]
+        else:
+            from services.fund_flow_analyzer import analyze_fund_flow
+            fund_result = analyze_fund_flow(stock_code, days=5)
+            _fund_flow_cache[stock_code] = (fund_result, now)
         factors['fund_flow'] = fund_result
         external_score += fund_result.get('score', 0)
         all_reasons.extend(fund_result.get('reasons', []))