mirror of
https://ghfast.top/https://github.com/aeroxw/easy_tdx_max.git
synced 2026-09-12 23:54:21 +08:00
Justin Gu
e374a0da28
对 v1.21→v1.32.5 的 249 文件 4.2 万行改动做六路专项审查，本轮落地全部发现： 回测正确性：组合收益 fillna(0) 虚增、轮动停牌日过期价成交、单标的 WF 逐窗指标 被预热区稀释（三件套均带先红后绿回归）；worst_drawdown 方向、grading 容错、 组合体检品种费率、寻优端点费率透传。 安全：LLM api_url 仅 http/https 且禁 userinfo（封死 file:// 读取与 Key 外送链）、 错误响应不回显原始 body、响应体 2MB 上限、配置原子写、坏配置字段级防御。 数据：涨跌停价整数分币舍入（67/318/90 个价位错 1 分漏判清零）、交易时段/采样/ provisional 统一沪时区、warehouse 增量缺口自动全量重拉、provisional 定点转正、 baostock 真故障抛错 + W/M 去 tradestatus（实测服务端报错，周月兜底此前从未工作） + 指数 vol 股→手（实测锚定）、ccpm 结构变更抛错。 Web API：缓存键补 count/vipdoc、NaN 清洗先于缓存、count>800 分页取全量、 submit 透传真实状态、pending 不再被淘汰成幽灵、watchlist/server 入参约束。 公式：FILTER 去副作用、0-1 值域误判收严、递归深度上限、REF 负移位显式禁止。 前端：4 处请求竞态序号守卫、Sparkline viewBox、北交所 market=2 映射、 空数据缓存死角、AI 弹窗卸载中止轮询、量能/资金日历口径修正。 CLI/CI：warehouse sync 失败 exit 1、参数校验干净报错、release 真实发布 SHA256、 CI 超时与缓存、spec 补 baostock 前提。 约 60 条回归测试先红后绿；pytest 1820 全过，ruff/mypy/vue-tsc/node --test 全绿。
471 lines
18 KiB
Python
471 lines
18 KiB
Python
"""baostock 自动兜底数据源单测（离线，注入假 baostock 模块）。
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覆盖：参数映射（代码/周期/复权）、offset 切片语义、停牌日剔除、
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可用性门控（环境变量 / 未安装）、/bars 与 /bars/index 的端到端兜底、
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TDX 正常时绝不触发兜底。
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"""
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from __future__ import annotations
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import sys
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import types
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import pandas as pd
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import pytest
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# ---------------------------------------------------------------------------
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# 假 baostock 模块
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# ---------------------------------------------------------------------------
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class _FakeLoginResult:
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error_code = "0"
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error_msg = ""
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class _FakeResultData:
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def __init__(self, rows: list[list[str]]):
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self._rows = rows
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self._i = 0
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self.error_code = "0"
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self.error_msg = ""
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def next(self) -> bool:
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if self._i < len(self._rows):
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self._i += 1
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return True
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return False
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def get_row_data(self) -> list[str]:
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return self._rows[self._i - 1]
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def _fake_rows(n: int, end: str = "2026-09-04") -> list[list[str]]:
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"""n 个交易日的日线行：date, open, high, low, close, volume, amount, tradestatus。"""
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dates = pd.bdate_range(end=end, periods=n).strftime("%Y-%m-%d")
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return [[d, "10.0", "11.0", "9.5", "10.5", "100000", "1050000.0", "1"] for d in dates]
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def _weekly_rows(n: int, end: str = "2026-09-04") -> list[list[str]]:
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"""n 个周线行（无 tradestatus 列，与真实 W/M 返回一致）。"""
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dates = pd.date_range(end=end, periods=n, freq="W-FRI").strftime("%Y-%m-%d")
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return [[d, "10.0", "11.0", "9.5", "10.5", "500000", "5250000.0"] for d in dates]
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def _install_fake_bs(
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rows: list[list[str]] | None,
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captured: dict,
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*,
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query_error: bool = False,
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login_error: bool = False,
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) -> types.ModuleType:
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mod = types.ModuleType("baostock")
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def _login(): # type: ignore[no-untyped-def]
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captured["login"] = captured.get("login", 0) + 1
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if login_error:
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result = _FakeLoginResult()
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result.error_code = "10001"
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result.error_msg = "用户登录失败"
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return result
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return _FakeLoginResult()
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mod.login = _login # type: ignore[attr-defined]
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mod.logout = lambda: None # type: ignore[attr-defined]
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def query_history_k_data_plus(**kwargs): # type: ignore[no-untyped-def]
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captured.update(kwargs)
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captured["calls"] = captured.get("calls", 0) + 1
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if query_error:
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result = _FakeResultData([])
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result.error_code = "10001"
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result.error_msg = "网络异常"
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return result
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return _FakeResultData(rows or [])
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mod.query_history_k_data_plus = query_history_k_data_plus # type: ignore[attr-defined]
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sys.modules["baostock"] = mod
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return mod
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@pytest.fixture()
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def fake_bs(monkeypatch: pytest.MonkeyPatch):
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"""注入假模块 + 复位模块级登录态；测试结束移除。"""
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from easy_tdx.sources import baostock as bs_source
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captured: dict = {}
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monkeypatch.setattr(bs_source, "_logged_in", False)
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monkeypatch.delenv(bs_source.BAOSTOCK_DISABLE_ENV, raising=False)
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_install_fake_bs(_fake_rows(10), captured)
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yield captured
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sys.modules.pop("baostock", None)
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# ---------------------------------------------------------------------------
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# 源模块行为
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# ---------------------------------------------------------------------------
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def test_fetch_maps_args_and_matches_contract(fake_bs):
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"""代码/周期/复权映射正确；输出列序与 vol 单位（股，不换算）符合 /bars 契约。"""
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from easy_tdx.sources import baostock as bs_source
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df = bs_source.fetch_bars("SH", "600519", "DAY", 0, 5, "QFQ")
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assert df is not None and len(df) == 5
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assert list(df.columns) == ["date", "open", "close", "high", "low", "vol", "amount"]
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assert fake_bs["code"] == "sh.600519"
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assert fake_bs["frequency"] == "d"
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assert fake_bs["adjustflag"] == "2" # QFQ
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# 时间升序，最后一根是最新交易日
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assert df["date"].iloc[-1] == pd.Timestamp("2026-09-04")
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assert (df["vol"] == 100000).all() # baostock volume=股，与 /bars 契约一致，不换算
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def test_offset_slice_matches_tdx_semantics(fake_bs):
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"""start=跳过最新 N 根：30 根里 start=5, count=10 → 返回第 16~25 根。"""
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from easy_tdx.sources import baostock as bs_source
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_install_fake_bs(_fake_rows(30), fake_bs)
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df = bs_source.fetch_bars("SZ", "000001", "DAY", 5, 10, "QFQ")
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assert df is not None and len(df) == 10
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dates = df["date"].dt.strftime("%Y-%m-%d").tolist()
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expected = pd.bdate_range(end="2026-09-04", periods=30).strftime("%Y-%m-%d").tolist()
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assert dates[0] == expected[15]
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assert dates[-1] == expected[24]
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def test_suspension_rows_dropped(fake_bs):
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"""停牌日（tradestatus=0 / volume=0）剔除，对齐通达信 K 线口径。"""
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rows = _fake_rows(6)
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rows[2] = [rows[2][0], "0", "0", "0", "0", "0", "0", "0"] # 停牌日
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_install_fake_bs(rows, fake_bs)
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from easy_tdx.sources import baostock as bs_source
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df = bs_source.fetch_bars("SZ", "000001", "DAY", 0, 10, "QFQ")
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assert df is not None and len(df) == 5
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assert (df["vol"] > 0).all()
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def test_disabled_via_env(fake_bs, monkeypatch: pytest.MonkeyPatch):
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"""EASY_TDX_BAOSTOCK=0 显式关闭：不安装也不调用。"""
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from easy_tdx.sources import baostock as bs_source
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monkeypatch.setenv(bs_source.BAOSTOCK_DISABLE_ENV, "0")
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assert bs_source.is_enabled() is False
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assert bs_source.fetch_bars("SH", "600519", "DAY", 0, 5, "QFQ") is None
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assert "login" not in fake_bs
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def test_missing_module_returns_none(monkeypatch: pytest.MonkeyPatch):
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"""未安装 baostock：静默返回 None（兜底环自动关闭）。"""
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monkeypatch.delenv("EASY_TDX_BAOSTOCK", raising=False)
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monkeypatch.setitem(sys.modules, "baostock", None) # import 时抛 ImportError
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from easy_tdx.sources import baostock as bs_source
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assert bs_source.is_enabled() is False
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assert bs_source.fetch_bars("SH", "600519", "DAY", 0, 5, "QFQ") is None
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def test_unsupported_inputs(fake_bs):
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"""BJ 市场 / 分钟线周期 / 非法复权 / 超大窗口：不适用即 None。"""
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from easy_tdx.sources import baostock as bs_source
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assert bs_source.fetch_bars("BJ", "430047", "DAY", 0, 5, "QFQ") is None
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assert bs_source.fetch_bars("SH", "600519", "MIN_5", 0, 5, "QFQ") is None
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assert bs_source.fetch_bars("SH", "600519", "SEASON", 0, 5, "QFQ") is None
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assert bs_source.fetch_bars("SH", "600519", "DAY", 0, 5, "FOO") is None
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assert bs_source.fetch_bars("SH", "600519", "DAY", 99999, 800, "QFQ") is None
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assert "calls" not in fake_bs
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def test_query_error_raises_runtimeerror_and_logs(fake_bs, caplog):
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"""baostock 查询失败（error_code≠0）：记 warning 并抛 RuntimeError。
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回归：旧实现吞掉所有异常静默返回 None——`--source baostock` 显式使用时
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故障被伪装成"无数据"（sync 记 skipped 而非 failed）。auto 兜底路径
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（web/routers/bars.py）以 except Exception 包裹调用，不受影响。
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"""
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_install_fake_bs([], fake_bs, query_error=True)
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from easy_tdx.sources import baostock as bs_source
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with pytest.raises(RuntimeError, match="baostock 拉取失败"):
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bs_source.fetch_bars("SH", "600519", "DAY", 0, 5, "QFQ")
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assert "baostock 拉取失败" in caplog.text
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def test_login_failure_raises_runtimeerror(fake_bs, monkeypatch: pytest.MonkeyPatch):
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"""baostock 登录失败：同样 warning + RuntimeError（不再静默）。"""
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_install_fake_bs([], fake_bs, login_error=True)
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from easy_tdx.sources import baostock as bs_source
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with pytest.raises(RuntimeError, match="拉取失败"):
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bs_source.fetch_bars("SZ", "000001", "DAY", 0, 5, "QFQ")
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def test_weekly_monthly_fields_exclude_tradestatus(fake_bs):
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"""W/M 请求不传 tradestatus（baostock 实测 error_code=10004012 报错），
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日线保留。"""
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from easy_tdx.sources import baostock as bs_source
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weekly_rows = _weekly_rows(6)
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_install_fake_bs(weekly_rows, fake_bs)
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df = bs_source.fetch_bars("SH", "600519", "WEEK", 0, 5, "QFQ")
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assert df is not None and len(df) == 5
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assert fake_bs["frequency"] == "w"
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assert "tradestatus" not in fake_bs["fields"]
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assert list(df.columns) == ["date", "open", "close", "high", "low", "vol", "amount"]
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_install_fake_bs(_weekly_rows(6), fake_bs)
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df = bs_source.fetch_bars("SH", "600519", "MONTH", 0, 5, "QFQ")
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assert df is not None and len(df) == 5
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assert fake_bs["frequency"] == "m"
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assert "tradestatus" not in fake_bs["fields"]
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# 日线仍保留 tradestatus（停牌剔除依赖它）
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_install_fake_bs(_fake_rows(6), fake_bs)
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bs_source.fetch_bars("SH", "600519", "DAY", 0, 5, "QFQ")
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assert "tradestatus" in fake_bs["fields"]
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def test_weekly_suspension_dropped_by_volume(fake_bs):
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"""WEEK 无 tradestatus 列时，停牌/无成交周（volume=0）按 vol>0 兜底剔除。"""
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from easy_tdx.sources import baostock as bs_source
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rows = _weekly_rows(6)
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rows[2][5] = "0" # volume=0 的停牌周
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_install_fake_bs(rows, fake_bs)
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df = bs_source.fetch_bars("SZ", "000001", "WEEK", 0, 10, "QFQ")
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assert df is not None and len(df) == 5
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assert (df["vol"] > 0).all()
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def test_index_volume_converted_to_lots(fake_bs):
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"""is_index=True：指数 vol 股→手（÷100），对齐 /bars/index 契约。
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实测 sh.000001 2026-09-04：baostock volume=53,728,616,100（股），
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÷100 = 537,286,161 手（TDX 指数日线口径为手）。
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"""
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from easy_tdx.sources import baostock as bs_source
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df = bs_source.fetch_bars("SH", "000001", "DAY", 0, 5, "NONE", is_index=True)
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assert df is not None
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assert (df["vol"] == 1000.0).all() # 100000 股 ÷100 = 1000 手
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# 默认（个股路径）不换算
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_install_fake_bs(_fake_rows(6), fake_bs)
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df = bs_source.fetch_bars("SH", "600519", "DAY", 0, 5, "QFQ")
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assert (df["vol"] == 100000).all()
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# ---------------------------------------------------------------------------
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# /bars 与 /bars/index 端到端兜底
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# ---------------------------------------------------------------------------
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def _bars_app(mac_client, tdx_client):
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from fastapi import FastAPI
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from easy_tdx.web.errors import register_exception_handlers
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from easy_tdx.web.routers import bars
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app = FastAPI()
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register_exception_handlers(app)
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app.include_router(bars.router, prefix="/api/v1")
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app.state.tdx_client = tdx_client
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app.state.mac_client = mac_client
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return app
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class _RaisingMac:
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async def get_stock_kline(self, *args, **kwargs): # noqa: ANN002, ANN003
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raise RuntimeError("MAC 连接失败")
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class _RaisingTdx:
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async def get_security_bars(self, *args, **kwargs): # noqa: ANN002, ANN003
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raise RuntimeError("标准协议连接失败")
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async def get_index_bars(self, *args, **kwargs): # noqa: ANN002, ANN003
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raise RuntimeError("标准协议连接失败")
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class _OkMac:
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async def get_stock_kline(self, *args, **kwargs): # noqa: ANN002, ANN003
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return pd.DataFrame(
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{
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"datetime": pd.bdate_range(end="2026-09-04", periods=5),
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"open": [10.0] * 5,
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"close": [10.5] * 5,
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"high": [11.0] * 5,
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"low": [9.5] * 5,
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"vol": [100000] * 5,
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"amount": [1050000.0] * 5,
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"float_shares": [0.0] * 5,
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}
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)
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def test_bars_endpoint_falls_back_to_baostock(fake_bs, monkeypatch: pytest.MonkeyPatch):
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"""MAC 与标准协议都失败 → baostock 兜底命中，响应带 source 字段。"""
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pytest.importorskip("fastapi")
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from fastapi.testclient import TestClient
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_install_fake_bs(_fake_rows(10), fake_bs)
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with TestClient(_bars_app(_RaisingMac(), _RaisingTdx())) as client:
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resp = client.get("/api/v1/bars", params={"market": "SH", "code": "600519"})
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assert resp.status_code == 200
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body = resp.json()
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assert body["source"] == "baostock"
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assert body["count"] == 10
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assert "date" in body["data"][0]
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assert "change_pct" in body["data"][0]
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def test_bars_endpoint_tdx_ok_never_calls_baostock(fake_bs):
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"""TDX 正常出数时兜底绝不触发：source 为 None，baostock 零调用。"""
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pytest.importorskip("fastapi")
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from fastapi.testclient import TestClient
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with TestClient(_bars_app(_OkMac(), _RaisingTdx())) as client:
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resp = client.get("/api/v1/bars", params={"market": "SH", "code": "600519"})
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assert resp.status_code == 200
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body = resp.json()
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assert body["source"] is None
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assert body["count"] == 5
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assert "login" not in fake_bs
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def test_bars_endpoint_no_fallback_available_keeps_error(fake_bs, monkeypatch: pytest.MonkeyPatch):
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"""TDX 全败且兜底不可用：维持原错误语义（500），不返回空数据伪装成功。"""
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pytest.importorskip("fastapi")
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from fastapi.testclient import TestClient
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monkeypatch.delenv("EASY_TDX_BAOSTOCK", raising=False)
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monkeypatch.setitem(sys.modules, "baostock", None)
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# raise_server_exceptions=False：模拟生产环境由服务端中间件返回 500
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with TestClient(
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_bars_app(_RaisingMac(), _RaisingTdx()), raise_server_exceptions=False
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) as client:
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resp = client.get("/api/v1/bars", params={"market": "SH", "code": "600519"})
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assert resp.status_code == 500
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assert "连接失败" in resp.json()["detail"]
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def test_index_endpoint_falls_back_to_baostock(fake_bs):
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"""/bars/index：TDX 失败 → baostock 兜底（指数代码同格式）。"""
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pytest.importorskip("fastapi")
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from fastapi.testclient import TestClient
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_install_fake_bs(_fake_rows(10), fake_bs)
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with TestClient(_bars_app(None, _RaisingTdx())) as client:
|
||
resp = client.get(
|
||
"/api/v1/bars/index", params={"market": "SH", "code": "000001", "category": "DAY"}
|
||
)
|
||
assert resp.status_code == 200
|
||
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")
|