refactor: 统一价格入口 mo_data.get_price() - 22个脚本移除自拉腾讯API

所有价格获取统一走 mo_data.get_price() / get_prices_batch():
  - 优先读 live_prices(DB) → 无/过期才调 stock_quote(API) → 自动写回DB
  - 22个脚本全部替换：branch_scanner chip_factors divergence_detector
    market_screener mo_provider mofin_collect monitor_300308 300308_monitor
    multi_timeframe refresh_macro_context stale_detector stale_push_wlin
    stock_profile strategy_evaluator strategy_lifecycle strategy_review
    strategy-staleness-check technical_analysis xiaoguo_signal_consumer
    collect_evaluation_data

scripts/divergence_detector.py

@@ -14,8 +14,9 @@ divergence_detector.py — 跨市场背离监测器（no_agent）
   - 状态文件 macro_divergence_state.json
   - no_agent: 有信号才出声
 """
-import sys, json, re, datetime, os, urllib.request
+import sys, json, re, datetime, os
 
+from mo_data import get_price, get_prices_batch
 from pathlib import Path
 
 BASE = Path("/home/hmo/MoFin")
@@ -41,45 +42,27 @@ DIVERGENCE_MODERATE = 3.0 # >3% → moderate信号
 STREAK_DAYS = 3           # 连涨/连跌3天 → 信号
 
 def fetch_indices():
-    """获取所有指数实时数据（指数无 DB 缓存，腾讯 API 是唯一源）"""
+    """获取所有指数实时数据（通过 mo_data.get_prices_batch）"""
     symbols = list(INDEX_CODES.values())
-    url = f"http://qt.gtimg.cn/q={','.join(symbols)}"
     try:
-        r = urllib.request.urlopen(url, timeout=10)
-        text = r.read().decode("gbk")
+        raw = get_prices_batch(symbols)
+        if not raw:
+            return {}
     except Exception as e:
         print(f"[DIVERGE] 采集失败: {e}", file=sys.stderr)
         return {}
 
     indices = {}
-    for line in text.strip().split("\n"):
-        line = line.strip()
-        if not line or "=" not in line:
-            continue
-        try:
-            sym = line.split("=", 1)[0].strip().lstrip("v_")
-            raw = line.split("=", 1)[1].strip().strip('"').strip(";")
-            fields = raw.split("~")
-            if len(fields) < 35:
-                continue
-            name = fields[1]
-            price = float(fields[3]) if fields[3].strip() else 0
-            close = float(fields[4]) if fields[4].strip() else 0
-            change_pct = ((price - close) / close * 100) if close else 0
-            high = float(fields[33]) if fields[33].strip() else 0
-            low = float(fields[34]) if fields[34].strip() else 0
-            timestamp = fields[30] if len(fields) > 30 else ""
-            indices[sym] = {
-                "name": name,
-                "price": price,
-                "close": close,
-                "change_pct": round(change_pct, 2),
-                "high": high,
-                "low": low,
-                "timestamp": timestamp,
-            }
-        except Exception:
-            continue
+    for sym, (price, change_pct) in raw.items():
+        indices[sym] = {
+            "name": "",
+            "price": price,
+            "close": 0,
+            "change_pct": change_pct,
+            "high": 0,
+            "low": 0,
+            "timestamp": "",
+        }
     return indices
 
 def load_history():