功能更新

backend/app/data/fetcher.py

@@ -1,6 +1,6 @@
 """数据编排：拉取（Tushare 主 -> AKShare 兜底）+ 本地缓存。
 
-真实行情落库到 candles 表（timeframe='1d'），回测统一从库读，与 DEMO 同路径。
+真实行情落库到 candles 表（timeframe='1d'），回测统一从库读。
 """
 from __future__ import annotations
 

backend/app/data/synthetic.py

@@ -1,78 +0,0 @@
-"""合成数据（MVP 零依赖可跑）。
-
-生成随机游走 OHLCV，灌入 DB。仅用于让回测链路在没有真实数据源时也能跑通演示。
-阶段1 接 Tushare/AKShare 后，这里仅保留为"离线测试夹具"。
-"""
-from __future__ import annotations
-
-from datetime import datetime, timedelta, timezone
-
-import numpy as np
-from sqlalchemy import select
-from sqlalchemy.ext.asyncio import AsyncSession
-
-from ..domain import Bar
-from ..models import Candle
-
-
-def _trading_days(n: int) -> list[datetime]:
-    """粗略生成 n 个工作日（跳过周末；节假日由阶段1 的交易日历服务处理）。"""
-    start = datetime.now(timezone.utc).replace(tzinfo=None) - timedelta(days=int(n * 1.6))
-    days: list[datetime] = []
-    d = start
-    while len(days) < n:
-        if d.weekday() < 5:
-            days.append(d.replace(hour=15, minute=0, second=0, microsecond=0))
-        d += timedelta(days=1)
-    return days
-
-
-def generate_ohlcv(n: int = 500, seed: int = 42) -> list[Bar]:
-    """随机游走 + A 股风格的价格区间（5~30 元）。"""
-    rng = np.random.default_rng(seed)
-    rets = rng.normal(loc=0.0003, scale=0.018, size=n)
-    price = 10.0 * np.cumprod(1 + rets)
-    days = _trading_days(n)
-    bars: list[Bar] = []
-    for i in range(n):
-        close = float(price[i])
-        op = close * (1 + rng.normal(0, 0.005))
-        hi = max(op, close) * (1 + abs(rng.normal(0, 0.006)))
-        lo = min(op, close) * (1 - abs(rng.normal(0, 0.006)))
-        vol = float(rng.integers(1_000_000, 10_000_000))
-        bars.append(
-            Bar(
-                ts=days[i],
-                open=round(op, 2),
-                high=round(hi, 2),
-                low=round(lo, 2),
-                close=round(close, 2),
-                volume=vol,
-            )
-        )
-    return bars
-
-
-async def seed_if_empty(session: AsyncSession, symbol: str = "DEMO", n: int = 500) -> None:
-    """若库中无该 symbol 数据，则灌入合成数据。"""
-    existing = await session.execute(
-        select(Candle.id).where(Candle.symbol == symbol).limit(1)
-    )
-    if existing.scalars().first() is not None:
-        return
-
-    bars = generate_ohlcv(n=n)
-    for b in bars:
-        session.add(
-            Candle(
-                symbol=symbol,
-                timeframe="1d",
-                ts=b.ts,
-                open=b.open,
-                high=b.high,
-                low=b.low,
-                close=b.close,
-                volume=b.volume,
-            )
-        )
-    await session.commit()

backend/app/data/tushare_provider.py

@@ -17,7 +17,7 @@ def _parse(date_str: str) -> datetime:
 
 def fetch_daily(code: str, start: str = "20200101", end: str | None = None,
                 adjust: str = "qfq") -> list[Bar]:
-    import tushare as ts  # 延迟导入：未装/无 token 时 DEMO 仍可用
+    import tushare as ts  # 延迟导入：未装或无 token 时该数据源不可用
 
     if not settings.tushare_token:
         raise RuntimeError("未配置 TUSHARE_TOKEN")