feat: warehouse sync 支持 --source auto/tdx/baostock + EXE 打包内置 baostock 兜底源 + README 使用说明

.github/workflows/release.yml

@@ -39,10 +39,11 @@ jobs:
           npm run build
         working-directory: web-ui
 
-      # 安装后端（含 [web,packaging] extras：fastapi/uvicorn + pystray/Pillow）
+      # 安装后端（含 [web,packaging,baostock] extras：fastapi/uvicorn +
+      # pystray/Pillow + baostock 自动兜底数据源——EXE 内置全量灾备链）
       - name: Install Python deps
         run: |
-          pip install -e ".[web,packaging]"
+          pip install -e ".[web,packaging,baostock]"
           pip install pyinstaller
 
       - name: Build EXE

README.md

@@ -156,6 +156,16 @@ pip install -e ".[dev]"
 pip install -e ".[web]"
 ```
 
+### 可选：baostock 自动兜底数据源
+
+通达信协议依赖第三方行情服务器，为了"部分兜底、总好过全挂"，可选安装 baostock 作为最后一级自动回退：
+
+```bash
+pip install "easy-tdx[baostock]"
+```
+
+装完即自动生效，平时**一次都不会调用**——只有当 MAC 协议与标准协议两条 TDX 路径全部失败或返回空时才启用，响应中会带 `source: "baostock"` 字段标注数据来源。设置环境变量 `EASY_TDX_BAOSTOCK=0` 可随时关闭。边界：baostock 是收盘后更新的数据源（当日数据约 17:30 后才有），因此只兜 **日/周/月 K 线** 的历史数据（覆盖沪深，不含北交所），实时行情、分时、板块等能力仍由通达信协议提供。本地 K 线仓库同步同样支持：`easy-tdx warehouse sync --symbols SH:600519 --source auto|tdx|baostock`（默认 auto）。
+
 ## CLI 参考
 
 `easy-tdx` 默认输出 JSON（一行一条记录），`--table` 切换表格，`--output csv` 输出 CSV。

docs/packaging.md

@@ -53,7 +53,9 @@
 - Windows 10/11（PyInstaller 不支持跨平台编译）
 - Python 3.10+
 - Node.js 20+
-- 项目已 `pip install -e ".[web]"` 安装到当前环境
+- 项目已 `pip install -e ".[web,packaging,baostock]"` 安装到当前环境
+  （`baostock` 是 /bars 与 warehouse 的自动兜底数据源，EXE 需一并打进包；`packaging`
+  extras 提供 EXE 托盘所需的 pystray/Pillow）
 
 ### 步骤
 

easy_tdx.spec

@@ -24,6 +24,9 @@ from PyInstaller.utils.hooks import collect_data_files, collect_submodules
 hiddenimports: list[str] = []
 hiddenimports += collect_submodules("uvicorn")
 hiddenimports += collect_submodules("easy_tdx")
+# baostock 兜底数据源（v1.33：/bars 与 warehouse 的最后一级回退）在
+# sources/baostock.py 里经 importlib 懒加载，静态分析扫不到，需显式声明。
+hiddenimports += collect_submodules("baostock")
 # pandas / numpy / scipy 由 PyInstaller 自带 hook 处理（见
 # PyInstaller/hooks/hook-pandas.* 等），无需手动 collect_submodules——
 # 手动全量收集会把 numpy.typing.tests / pandas._numba.kernels 等可选/测试

src/easy_tdx/cli/cmd_warehouse.py

@@ -6,6 +6,7 @@
 示例::
 
     easy-tdx warehouse sync --symbols SH:600519,SZ:000001
+    easy-tdx warehouse sync --symbols SH:600519 --source baostock   # 仅 baostock 源
     easy-tdx warehouse query SH 600519 --count 30
     easy-tdx warehouse stats
     easy-tdx warehouse check --symbols SH:600519
@@ -48,6 +49,16 @@ def warehouse() -> None:
     type=click.Choice(["NONE", "QFQ", "HFQ"]),
     help="复权口径（默认 QFQ）",
 )
+@click.option(
+    "--source",
+    "source",
+    default="auto",
+    type=click.Choice(["auto", "tdx", "baostock"]),
+    help=(
+        "数据源（默认 auto）：auto=TDX 失败/为空自动转 baostock 兜底（需 "
+        "easy-tdx[baostock]）/ tdx=仅通达信 / baostock=仅 baostock"
+    ),
+)
 @click.option(
     "--db", "db_path", default=None, help="仓库文件路径（默认 ~/.easy_tdx/warehouse.duckdb）"
 )
@@ -57,6 +68,7 @@ def warehouse_sync(
     max_bars: int,
     tail_bars: int,
     adjust: str,
+    source: str,
     db_path: str | None,
 ) -> None:
     """增量同步行情进仓库（首同步全量、此后只补尾部）。"""
@@ -81,11 +93,27 @@ def warehouse_sync(
         def _progress(done: int, total: int, sym: str) -> None:
             click.echo(f"[{done}/{total}] {sym}", err=True)
 
+        if source == "baostock":
+            from easy_tdx.sources.baostock import BaostockClient
+
+            kline_client: Any = BaostockClient()
+            syncer = WarehouseSyncer(
+                kline_client, wh, max_bars=max_bars, tail_bars=tail_bars, adjust=adjust
+            )
+            summary = syncer.sync(symbol_list, period=period, progress=_progress)
+        else:
             from ..cli.conn import get_mac_client
 
             with get_mac_client() as client:
+                if source == "auto":
+                    from easy_tdx.sources import AutoKlineClient
+                    from easy_tdx.sources.baostock import BaostockClient
+
+                    kline_client = AutoKlineClient(client, BaostockClient())
+                else:
+                    kline_client = client
                 syncer = WarehouseSyncer(
-                client, wh, max_bars=max_bars, tail_bars=tail_bars, adjust=adjust
+                    kline_client, wh, max_bars=max_bars, tail_bars=tail_bars, adjust=adjust
                 )
                 summary = syncer.sync(symbol_list, period=period, progress=_progress)
         click.echo(

src/easy_tdx/sources/__init__.py

@@ -1 +1,42 @@
-"""备选数据源（自动兜底）。"""
+"""备选数据源（自动兜底）。
+
+- :mod:`easy_tdx.sources.baostock`：baostock EOD 兜底源（TDX 全部路径失败时
+  的最后一级回退，仅日线及以上）。
+- :class:`AutoKlineClient`：TDX 优先、备选源兜底的组合客户端，供
+  ``WarehouseSyncer`` 等只认 ``get_stock_kline`` 协议的组件使用。
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+import pandas as pd
+
+__all__ = ["AutoKlineClient"]
+
+
+class AutoKlineClient:
+    """TDX 优先、备选源兜底的组合 K 线客户端。
+
+    满足 ``get_stock_kline(market:int, code, **kwargs)`` 协议：primary 出错
+    **或返回空**时自动转 fallback；fallback 的结果（或异常）直接透传——
+    异常信息通常带安装提示（如 baostock 未安装），便于上层定位。
+
+    Example::
+
+        client = AutoKlineClient(mac_client, BaostockClient())
+        syncer = WarehouseSyncer(client, warehouse)
+    """
+
+    def __init__(self, primary: Any, fallback: Any) -> None:
+        self._primary = primary
+        self._fallback = fallback
+
+    def get_stock_kline(self, market: int, code: str, **kwargs: Any) -> pd.DataFrame:
+        try:
+            df = self._primary.get_stock_kline(market, code, **kwargs)
+            if df is not None and len(df) > 0:
+                return df
+        except Exception:  # noqa: BLE001 — 主源失败是兜底触发的正常路径
+            pass
+        return self._fallback.get_stock_kline(market, code, **kwargs)

src/easy_tdx/sources/baostock.py

@@ -169,3 +169,48 @@ def fetch_bars(
         return None
 
     return df[["date", "open", "close", "high", "low", "vol", "amount"]].reset_index(drop=True)
+
+
+# ---------------------------------------------------------------------------
+# Warehouse 适配：满足 WarehouseSyncer 客户端协议（get_stock_kline）
+# ---------------------------------------------------------------------------
+
+# TDX Market 枚举值 → baostock 市场前缀（0=SZ 1=SH；2=BJ 不覆盖）
+_TDX_TO_MARKET_STR = {0: "SZ", 1: "SH"}
+# 仓库周期名（Period 名）→ 本模块 category 键
+_PERIOD_TO_CATEGORY = {"DAILY": "DAY", "WEEKLY": "WEEK", "MONTHLY": "MONTH"}
+
+
+class BaostockClient:
+    """把 baostock 包装成 ``WarehouseSyncer`` 可直接使用的行情客户端。
+
+    只需实现 ``get_stock_kline(market:int, code, period=, start=, count=,
+    adjust=)`` 签名（``MacClient`` 同款）。语义差异：
+    - 数据缺失（未上市 / 超出范围）返回**空 DataFrame**——上层按"无数据"处理；
+    - baostock 未安装 / 已禁用 / 查询失败抛 ``RuntimeError``——错误信息带
+      安装提示，便于 ``--source baostock`` 显式使用时定位。
+    """
+
+    def get_stock_kline(
+        self,
+        market: int,
+        code: str,
+        period: str = "DAILY",
+        start: int = 0,
+        count: int = 8000,
+        adjust: str = "QFQ",
+    ) -> pd.DataFrame:
+        market_str = _TDX_TO_MARKET_STR.get(int(market))
+        category = _PERIOD_TO_CATEGORY.get(str(period).upper())
+        if market_str is None or category is None:
+            # 不覆盖的市场/周期：按"无数据"处理而非报错（调用方可跳过）
+            return pd.DataFrame()
+        if not is_enabled():
+            raise RuntimeError(
+                "baostock 未安装或已禁用（EASY_TDX_BAOSTOCK=0）。"
+                "安装: pip install easy-tdx[baostock]"
+            )
+        df = fetch_bars(market_str, code, category, start, count, adjust)
+        if df is None or df.empty:
+            return pd.DataFrame()
+        return df.rename(columns={"date": "datetime"})

tests/unit/test_baostock_source.py

@@ -282,3 +282,106 @@ def test_index_endpoint_falls_back_to_baostock(fake_bs):
     body = resp.json()
     assert body["source"] == "baostock"
     assert fake_bs["code"] == "sh.000001"
+
+
+# ---------------------------------------------------------------------------
+# Warehouse 适配（BaostockClient / AutoKlineClient）
+# ---------------------------------------------------------------------------
+
+
+def test_baostock_client_maps_and_returns_datetime(fake_bs):
+    """适配器满足 WarehouseSyncer 协议：market/period 数字与名称映射正确，
+    输出 datetime 列（仓库 schema）。"""
+    from easy_tdx.sources.baostock import BaostockClient
+
+    df = BaostockClient().get_stock_kline(
+        1, "600519", period="DAILY", start=0, count=5, adjust="QFQ"
+    )
+    assert len(df) == 5
+    assert "datetime" in df.columns
+    assert fake_bs["code"] == "sh.600519"
+    assert fake_bs["frequency"] == "d"
+
+
+def test_baostock_client_unsupported_market_returns_empty(fake_bs):
+    """BJ（market=2）等不覆盖范围：返回空表（上层按无数据跳过），不报错。"""
+    from easy_tdx.sources.baostock import BaostockClient
+
+    df = BaostockClient().get_stock_kline(2, "430047", period="DAILY")
+    assert len(df) == 0
+    assert "calls" not in fake_bs
+
+
+def test_baostock_client_no_data_returns_empty_not_raise(fake_bs):
+    """无数据（如超出上市范围）返回空表而非异常。"""
+    from easy_tdx.sources.baostock import BaostockClient
+
+    _install_fake_bs([], fake_bs)
+    df = BaostockClient().get_stock_kline(0, "000001", period="DAILY")
+    assert len(df) == 0
+
+
+def test_baostock_client_not_installed_raises_with_hint(monkeypatch: pytest.MonkeyPatch):
+    """显式 --source baostock 但未安装：报错且信息带安装提示。"""
+    monkeypatch.delenv("EASY_TDX_BAOSTOCK", raising=False)
+    monkeypatch.setitem(sys.modules, "baostock", None)
+    from easy_tdx.sources.baostock import BaostockClient
+
+    with pytest.raises(RuntimeError, match="easy-tdx\[baostock\]"):
+        BaostockClient().get_stock_kline(1, "600519", period="DAILY")
+
+
+class _OkClient:
+    def __init__(self) -> None:
+        self.calls = 0
+
+    def get_stock_kline(self, market, code, **kwargs):  # noqa: ANN001, ANN003
+        self.calls += 1
+        return pd.DataFrame({"datetime": [1], "close": [10.0]})
+
+
+class _EmptyThenOkClient(_OkClient):
+    def get_stock_kline(self, market, code, **kwargs):  # noqa: ANN001, ANN003
+        self.calls += 1
+        return pd.DataFrame()
+
+
+class _RaisingClient(_OkClient):
+    def get_stock_kline(self, market, code, **kwargs):  # noqa: ANN001, ANN003
+        self.calls += 1
+        raise RuntimeError("主源失败")
+
+
+def test_auto_kline_client_primary_ok_skips_fallback():
+    from easy_tdx.sources import AutoKlineClient
+
+    primary, fallback = _OkClient(), _OkClient()
+    df = AutoKlineClient(primary, fallback).get_stock_kline(1, "600519", period="DAILY")
+    assert len(df) == 1
+    assert primary.calls == 1
+    assert fallback.calls == 0
+
+
+def test_auto_kline_client_primary_empty_falls_back():
+    from easy_tdx.sources import AutoKlineClient
+
+    primary, fallback = _EmptyThenOkClient(), _OkClient()
+    df = AutoKlineClient(primary, fallback).get_stock_kline(1, "600519", period="DAILY")
+    assert len(df) == 1
+    assert fallback.calls == 1
+
+
+def test_auto_kline_client_primary_error_falls_back():
+    from easy_tdx.sources import AutoKlineClient
+
+    fallback = _OkClient()
+    df = AutoKlineClient(_RaisingClient(), fallback).get_stock_kline(1, "600519")
+    assert len(df) == 1
+    assert fallback.calls == 1
+
+
+def test_auto_kline_client_fallback_error_propagates():
+    from easy_tdx.sources import AutoKlineClient
+
+    with pytest.raises(RuntimeError, match="主源失败"):
+        AutoKlineClient(_RaisingClient(), _RaisingClient()).get_stock_kline(1, "600519")