Simon
442999f701
- financial 默认增量：按 A 股披露节奏判断已最新并跳过；--full 强制全量重拉 - Tushare fina_indicator 增加报告期窗口与 100 条/请求自动分页（修复老报告期静默截断） - 新浪兜底收紧为校验兜底：两源重叠历史一致才导入缺失键，行标记 source=sina； 财务可比字段取 eps/销售毛利率（ROE 两端口径不同不作依据），日线只比较最近重叠交易日 - CLI 输出逐只进度与导入内容描述（来源/行数/报告期与公告区间），失败股票留待重跑 - financial_indicator 增 source 列（迁移 d3f6c9a21b04）；新增一致性/分页/服务测试
227 lines
8.0 KiB
Python
227 lines
8.0 KiB
Python
"""Tushare Provider 测试：归一化、重试与鉴权错误归类（用 Fake pro，不触网）。"""
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from __future__ import annotations
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from datetime import date
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from decimal import Decimal
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import pytest
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from app.infrastructure.data_sources.errors import (
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DataSourceAuthenticationError,
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DataSourceError,
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)
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from app.infrastructure.data_sources.tushare import TushareProvider
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class FakePro:
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"""模拟 tushare.pro 客户端：方法返回 records(list[dict]) 或抛错。"""
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def __init__(self, *, payload=None, error: Exception | None = None) -> None:
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self.payload = payload or []
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self.error = error
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self.calls: list[str] = []
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def __getattr__(self, api: str):
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def _run(**kwargs):
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self.calls.append(api)
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if self.error is not None:
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raise self.error
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return self.payload
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return _run
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def _pro(payload=None, error=None, retries: int = 2) -> TushareProvider:
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return TushareProvider(
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token="fake-token", pro=FakePro(payload=payload, error=error), max_retries=retries
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)
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class TestNormalize:
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def test_stock_records(self) -> None:
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stocks = TushareProvider.normalize_stock(
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[
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{
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"ts_code": "600519.SH",
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"symbol": "600519",
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"name": "贵州茅台",
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"area": "贵州",
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"industry": "白酒",
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"list_date": "20010827",
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}
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]
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)
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assert stocks[0].symbol == "600519.SH"
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assert stocks[0].list_date == date(2001, 8, 27)
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assert stocks[0].delist_date is None
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def test_daily_volume_amount_scaled(self) -> None:
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bars = TushareProvider.normalize_daily(
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[
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{
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"ts_code": "600519.SH",
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"trade_date": "20240102",
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"open": "100.0",
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"high": "101.5",
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"low": "99.0",
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"close": "100.5",
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"vol": "10000.0",
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"amount": "1010000.0",
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}
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]
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)
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bar = bars[0]
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assert bar.trade_date == date(2024, 1, 2)
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assert bar.volume == Decimal("1000000") # 手 → 股（×100）
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assert bar.amount == Decimal("1010000000") # 千元 → 元（×1000）
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def test_daily_nan_dropped(self) -> None:
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bars = TushareProvider.normalize_daily(
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[
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{
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"ts_code": "600519.SH",
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"trade_date": "20240102",
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"open": None,
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"high": float("nan"),
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"close": "10.0",
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"vol": None,
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"amount": None,
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}
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]
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)
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bar = bars[0]
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assert bar.open is None
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assert bar.high is None
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assert bar.close == Decimal("10.0")
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def test_financial_maps_announce_date(self) -> None:
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rows = TushareProvider.normalize_financial(
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[
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{
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"ts_code": "600519.SH",
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"end_date": "20240630",
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"ann_date": "20240831",
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"eps": "1.23",
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"roe": "15.5",
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}
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]
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)
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fin = rows[0]
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assert fin.report_date == date(2024, 6, 30)
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assert fin.announce_date == date(2024, 8, 31)
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assert fin.eps == Decimal("1.23")
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class TestCall:
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def test_empty_result_returns_empty_list(self) -> None:
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provider = _pro(payload=[])
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assert provider.get_daily("600519.SH", date(2024, 1, 1), date(2024, 1, 31)) == []
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def test_success_records_returned(self) -> None:
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payload = [
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{
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"ts_code": "600519.SH",
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"trade_date": "20240102",
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"open": "100",
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"close": "101",
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"vol": "1",
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"amount": "1",
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}
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]
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provider = _pro(payload=payload)
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bars = provider.get_daily("600519.SH", date(2024, 1, 1), date(2024, 1, 31))
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assert len(bars) == 1
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assert bars[0].symbol == "600519.SH"
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def test_transient_error_retries_then_raises(self) -> None:
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provider = _pro(error=RuntimeError("network down"), retries=2)
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with pytest.raises(DataSourceError, match="重试 2 次仍失败"):
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provider.get_stock_basic()
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assert len(provider._pro.calls) == 2 # noqa: SLF001 —— 测试探针
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def test_permission_error_raises_immediately(self) -> None:
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provider = _pro(error=RuntimeError("抱歉，您没有访问该接口的权限，请升级积分"), retries=3)
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with pytest.raises(DataSourceAuthenticationError):
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provider.get_stock_basic()
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assert len(provider._pro.calls) == 1 # noqa: SLF001
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def test_missing_token_rejected(self) -> None:
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with pytest.raises(DataSourceAuthenticationError, match="TUSHARE_TOKEN"):
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TushareProvider(token="")
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class TestRateLimitBackoff:
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def test_rate_limit_retries_with_sleep(self) -> None:
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"""频率超限：按退避等待后重试，最终抛错带原始信息（不当作鉴权错误）。"""
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import app.infrastructure.data_sources.tushare as ts_mod
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orig_sleep = ts_mod.time.sleep
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sleeps: list[float] = []
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ts_mod.time.sleep = lambda w: sleeps.append(w) # noqa: SLF001 —— 测试桩
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try:
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provider = _pro(
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error=RuntimeError("抱歉，您访问接口(adj_factor)频率超限(200次/分钟)"), retries=3
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)
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provider._rate_limit_wait = 0.1 # noqa: SLF001
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with pytest.raises(DataSourceError, match="频率超限"):
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provider.get_stock_basic()
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finally:
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ts_mod.time.sleep = orig_sleep
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assert len(provider._pro.calls) == 3 # noqa: SLF001 —— 完整重试 3 次
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assert len(sleeps) >= 2
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def _quarter_ends(count: int) -> list[str]:
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"""最近 count 个季度末（YYYYMMDD，降序）。"""
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ends: list[str] = []
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y, m = 2026, 6
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while len(ends) < count:
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ends.append(f"{y}{m:02d}30" if m in (6, 9) else f"{y}{m:02d}31")
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m -= 3
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if m <= 0:
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m += 12
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y -= 1
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return ends
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class _FakeProQueue:
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"""按调用顺序弹出 payload 的 Fake pro（模拟分页）。"""
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def __init__(self, payloads: list[list[dict]]) -> None:
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self.payloads = list(payloads)
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self.kwargs: list[dict] = []
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def fina_indicator(self, **kwargs):
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self.kwargs.append(kwargs)
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return self.payloads.pop(0)
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class TestGetFinancialWindow:
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def _record(self, end: str) -> dict:
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return {"ts_code": "600519.SH", "end_date": end, "ann_date": end, "eps": "1.0"}
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def test_window_args_passed(self) -> None:
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ends = _quarter_ends(10)
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fake = _FakeProQueue([[self._record(e) for e in ends]])
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provider = TushareProvider(token="t", pro=fake)
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rows = provider.get_financial("600519.SH", date(2024, 1, 1), date(2026, 6, 30))
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assert len(rows) == 10
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assert fake.kwargs[0]["start_date"] == "20240101"
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assert fake.kwargs[0]["end_date"] == "20260630"
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def test_paging_over_100_row_cap(self) -> None:
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"""单请求最多 100 条 → 超过必须回卷报告期窗口继续取，老数据不丢。"""
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newest = _quarter_ends(100)
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older = _quarter_ends(140)[100:] # 100 条之外更早的 40 个季度
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# 二次请求 end_date 必须早于首请求（分页回卷）
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fake = _FakeProQueue(
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[[self._record(e) for e in newest], [self._record(e) for e in older]]
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)
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provider = TushareProvider(token="t", pro=fake)
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rows = provider.get_financial("600519.SH", date(2000, 1, 1), date(2026, 6, 30))
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assert len(rows) == 100 + 40
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assert len(fake.kwargs) == 2
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assert fake.kwargs[1]["end_date"] < fake.kwargs[0]["end_date"]
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assert {r.report_date for r in rows} == {date.fromisoformat(e[:4] + "-" + e[4:6] + "-" + e[6:]) for e in newest + older}
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