feat: data-layering ????live_prices????qt.gtimg.cn(5??)

deploy/profile-scripts/technical_analysis.py

@@ -14,7 +14,6 @@
 import json
 import os
 import sys
-import urllib.request
 from datetime import datetime, date
 
 # 确保本文件所在目录可导入（market_config 与之同目录；本模块会被 MoFin 根脚本跨目录 import）
@@ -75,82 +74,102 @@ def get_quote(code):
     except:
         pass
 
-    # 腾讯API获取全量HLC数据
+    # 行情数据：读 DB（2026-08-26 分层铁律：消费层不直连腾讯API，改读 live_prices + stock_daily）
     raw = str(code).split("_")[0]
     prefix = _market_prefix(code)
-    url = f"http://qt.gtimg.cn/q={prefix}{raw}"
+    _lp_row = None
+    _sd_rows = None
+    _nm_row = None
     try:
-        r = urllib.request.urlopen(url, timeout=5)
-        fields = r.read().decode("gbk").split('"')[1].split("~")
-    except Exception as e:
-        if db_price:
-            return {"code": code, "price": db_price, "change_pct": db_chg or 0}
-        return {"code": code, "error": str(e)}
+        import sqlite3 as _sq
+        _db = _sq.connect('/home/hmo/MoFin/data/mofin.db', timeout=5)
+        _lp_row = _db.execute("SELECT price, change_pct FROM live_prices WHERE code=?", (raw,)).fetchone()
+        _sd_rows = _db.execute(
+            "SELECT date, open, close, high, low, volume, amount FROM stock_daily "
+            "WHERE code=? ORDER BY date DESC LIMIT 2", (raw,)
+        ).fetchall()
+        _nm_row = _db.execute("SELECT name FROM stocks WHERE code=?", (raw,)).fetchone()
+        _db.close()
+    except Exception:
+        pass
 
-    def get(i):
-        try:
-            return float(fields[i]) if fields[i].strip() else None
-        except (IndexError, ValueError):
-            return None
+    _lp_price = _lp_row[0] if _lp_row and _lp_row[0] else None
+    _lp_chg = _lp_row[1] if _lp_row and _lp_row[1] is not None else 0.0
+    if _lp_price or db_price:
+        today_str = date.today().isoformat()
+        price_v = _lp_price or db_price
+        change_v = _lp_chg if _lp_price else (db_chg or 0)
+        close_yest_v = price_v / (1 + change_v / 100) if change_v else price_v
+        # stock_daily 最近一根日K（收盘级 HLC，缺实时盘中H高）
+        _sd = _sd_rows[0] if _sd_rows else None
+        _sd_open = _sd[1] if _sd else None
+        _sd_high = _sd[3] if _sd else None
+        _sd_low = _sd[4] if _sd else None
+        _sd_vol = _sd[5] if _sd else None
+        _sd_amt = _sd[6] if _sd else None
+        _name_v = _nm_row[0] if _nm_row and _nm_row[0] else code
+        q = {
+            "code": raw,
+            "market": prefix,
+            "name": _name_v,
+            "price": price_v,
+            "close_yest": close_yest_v,
+            "open": _sd_open if _sd_open else price_v,
+            "high": _sd_high if _sd_high else price_v,
+            "low": _sd_low if _sd_low else price_v,
+            "volume": _sd_vol,
+            "amount": _sd_amt,
+            "change": price_v - close_yest_v,
+            "change_pct": change_v,
+            "amplitude": None,
+            "turnover_rate": None,
+            "pe": None,
+            "pb": None,
+            "limit_up": None,
+            "limit_down": None,
+            "avg_price": None,
+            "inner_vol": None,
+            "outer_vol": None,
+            "timestamp": "",
+            "_date": today_str,
+        }
 
-    today_str = date.today().isoformat()
-    q = {
-        "code": raw,
-        "market": prefix,
-        "name": fields[F["name"]] if len(fields) > F["name"] else code,
-        "price": get(3),
-        "close_yest": get(4),
-        "open": get(5),
-        "high": get(33),
-        "low": get(34),
-        "volume": get(6),
-        "amount": get(37),
-        "change": get(31),
-        "change_pct": get(32),
-        "amplitude": get(43),
-        "turnover_rate": get(38),
-        "pe": get(39),
-        "pb": get(46),
-        "limit_up": get(47),
-        "limit_down": get(48),
-        "avg_price": get(51),
-        "inner_vol": get(52),
-        "outer_vol": get(53),
-        "timestamp": fields[F["timestamp"]] if len(fields) > F["timestamp"] else "",
-        "_date": today_str,
-    }
+        # 写入价格历史缓存（每日一次；仅最近K线日期==今天才更新，避免用旧日数据冒充今日）
+        h = _sd_high if _sd_high else price_v
+        l = _sd_low if _sd_low else price_v
+        c = price_v
+        v = _sd_vol
+        amt = _sd_amt
+        _sd_date = _sd[0] if _sd else None
+        if h and l and c and (_sd_date == today_str or _sd is None):
+            history = _load_history()
+            if raw not in history:
+                history[raw] = []
+            days = history[raw]
+            # 如果今天已有记录，更新（盘中数据更精确）
+            if days and len(days) > 0 and days[-1].get("date") == today_str:
+                days[-1]["high"] = max(days[-1]["high"], h)
+                days[-1]["low"] = min(days[-1]["low"], l)
+                days[-1]["close"] = c  # 盘中用最新价，收盘后是收盘价
+                if v: days[-1]["volume"] = v
+                if amt: days[-1]["amount"] = amt
+            else:
+                entry = {"date": today_str, "high": h, "low": l, "close": c}
+                if v: entry["volume"] = v
+                if amt: entry["amount"] = amt
+                days.append(entry)
+            # 只保留最近 HISTORY_DAYS 天
+            history[raw] = days[-HISTORY_DAYS:]
+            _save_history(history)
 
-    # 写入价格历史缓存（每日一次）
-    h = get(33)  # high
-    l = get(34)  # low
-    c = get(3)   # price / close
-    v = get(6)   # volume（手）
-    amt = get(37)  # 成交额
-    if h and l and c:
-        history = _load_history()
-        if raw not in history:
-            history[raw] = []
-        days = history[raw]
-        # 如果今天已有记录，更新（盘中数据更精确）
-        if days and len(days) > 0 and days[-1].get("date") == today_str:
-            days[-1]["high"] = max(days[-1]["high"], h)
-            days[-1]["low"] = min(days[-1]["low"], l)
-            days[-1]["close"] = c  # 盘中用最新价，收盘后是收盘价
-            if v: days[-1]["volume"] = v
-            if amt: days[-1]["amount"] = amt
-        else:
-            entry = {"date": today_str, "high": h, "low": l, "close": c}
-            if v: entry["volume"] = v
-            if amt: entry["amount"] = amt
-            days.append(entry)
-        # 只保留最近 HISTORY_DAYS 天
-        history[raw] = days[-HISTORY_DAYS:]
-        _save_history(history)
+        # 写入60秒缓存
+        get_quote.__dict__["_cache"] = {**get_quote.__dict__.get("_cache", {}), code: {"ts": now, "data": q}}
 
-    # 写入60秒缓存
-    get_quote.__dict__["_cache"] = {**get_quote.__dict__.get("_cache", {}), code: {"ts": now, "data": q}}
+        return q
 
-    return q
+    if db_price:
+        return {"code": code, "price": db_price, "change_pct": db_chg or 0}
+    return {"code": code, "error": "数据不足(无本地行情)"}
 
 
 def calc_support_resistance(q):