Files
tick-stock-panel/backend/tests/test_custom_provider_indices.py
T
shy3130 f84cb671ef feat(data): 全量分钟健康时策略页与监控注入切读本地分时
- 策略页: healthy 时解除分时列 100 只截断并 prefer_local 读本地分区
- 监控信号注入: 股票 healthy 时直接读本地当日分区, 免每分钟 bucket
  一次的全量 API 拉取; ETF 不在服务 universe, 不健康/读失败回落原路径
- minute-refresh status 增加 healthy 读侧新鲜度字段 (前端共享判断)
- 测试: 注入本地读 3 用例 (健康读本地/不健康回落/ETF 恒走 API)
2026-09-01 13:03:54 +08:00

192 lines
8.1 KiB
Python

"""自定义源实时行情的指数补充链路测试。
契约 (CONTRIBUTING §4 能力路由矩阵): 实时源路由到自定义 provider 时,
quote_service 在 get_realtime() 之外鸭子类型调用可选方法
get_realtime_indices(symbols) 补拉指数 — A 股快照普遍不含指数
(fuyao 实测无指数, 指数在其独立端点)。
"""
from __future__ import annotations
from types import SimpleNamespace
from typing import ClassVar
import polars as pl
from app.services import quote_service as qs
from app.services.index_const import CORE_INDEX_SYMBOLS
class _FakeProvider:
"""带指数能力的假自定义源: 记录请求的 symbols, 返回预置 records。"""
def __init__(self, stocks: list[dict], indices: list[dict]):
self._stocks = stocks
self._indices = indices
self.index_calls: list[list[str]] = []
def get_realtime(self) -> list[dict]:
return list(self._stocks)
def get_realtime_indices(self, symbols: list[str]) -> list[dict]:
self.index_calls.append(list(symbols))
wanted = set(symbols)
return [r for r in self._indices if r["symbol"] in wanted]
class _ProviderNoIndices:
"""未实现可选协议的源: 指数不得报错, 只是不补充。"""
def get_realtime(self) -> list[dict]:
return [{"symbol": "600519.SH", "last_price": 1480.0}]
def _stock_rec(symbol: str = "600519.SH") -> dict:
return {"symbol": symbol, "last_price": 1480.0, "prev_close": 1455.0, "volume": 12345}
def _index_rec(symbol: str) -> dict:
return {"symbol": symbol, "last_price": 3986.3, "prev_close": 3952.2, "change_pct": 0.0086}
def _service_with_provider(monkeypatch, provider) -> tuple[qs.QuoteService, list[list[dict]]]:
"""构造最小 QuoteService: 自定义源路由 + 捕获 _process_full_market_records 入参。"""
from app.services import preferences as prefs_mod
service = qs.QuoteService()
captured: list[list[dict]] = []
monkeypatch.setattr(prefs_mod, "get_realtime_data_provider", lambda: "fuyao")
import app.data_providers.custom as custom_mod
monkeypatch.setattr(custom_mod, "provider_has_dataset", lambda name, dataset: dataset == "realtime")
monkeypatch.setattr(custom_mod, "get_provider", lambda name: provider)
monkeypatch.setattr(
service, "_process_full_market_records",
lambda records, *, t0, now_ts: captured.append(records),
)
return service, captured
def test_custom_provider_fetch_appends_index_records(monkeypatch):
provider = _FakeProvider([_stock_rec()], [_index_rec("000001.SH"), _index_rec("399001.SZ")])
service, captured = _service_with_provider(monkeypatch, provider)
service._fetch_full_market_quotes()
assert len(captured) == 1
symbols = [r["symbol"] for r in captured[0]]
assert "600519.SH" in symbols and "000001.SH" in symbols and "399001.SZ" in symbols
# 请求清单 = 核心四只 (无指数监控规则时)
assert provider.index_calls == [sorted(CORE_INDEX_SYMBOLS)]
def test_custom_provider_monitor_indices_join_fetch(monkeypatch):
"""指数监控规则标的并入请求清单 (quote_service._collect_monitor_index_symbols)。"""
provider = _FakeProvider([_stock_rec()], [_index_rec("000300.SH")])
service, _captured = _service_with_provider(monkeypatch, provider)
class _Engine:
rules: ClassVar[dict] = {
"r1": {"enabled": True, "asset_type": "index", "scope": "symbols", "symbols": ["000300.SH"]},
"r2": {"enabled": False, "asset_type": "index", "scope": "symbols", "symbols": ["000016.SH"]},
"r3": {"enabled": True, "asset_type": "stock", "scope": "symbols", "symbols": ["600519.SH"]},
}
service._app_state = SimpleNamespace(monitor_engine=_Engine())
service._fetch_full_market_quotes()
assert provider.index_calls == [sorted(set(CORE_INDEX_SYMBOLS) | {"000300.SH"})]
def test_custom_provider_without_indices_protocol_is_silent(monkeypatch):
"""未实现 get_realtime_indices 的源: 个股 records 照常, 指数不补充不报错。"""
service, captured = _service_with_provider(monkeypatch, _ProviderNoIndices())
service._fetch_full_market_quotes()
assert captured == [[{"symbol": "600519.SH", "last_price": 1480.0}]]
def test_custom_provider_index_fetch_error_is_soft(monkeypatch):
"""指数补充失败软降级: 警告不抛出, 个股 records 仍然进入处理链。"""
class _Boom:
def get_realtime(self) -> list[dict]:
return [_stock_rec()]
def get_realtime_indices(self, symbols: list[str]) -> list[dict]:
raise RuntimeError("index endpoint down")
service, captured = _service_with_provider(monkeypatch, _Boom())
service._fetch_full_market_quotes()
assert len(captured) == 1 and captured[0][0]["symbol"] == "600519.SH"
# ---- 监控分时注入: 全量分钟健康时股票读本地分区 ----
def _injection_env(monkeypatch, *, healthy, local_df, asset_type="stock", symbols=None):
"""构造 _inject_intraday_signals 最小环境, 捕获传入 evaluator 的 minute_df。"""
symbols = symbols or {"600519.SH"}
service = qs.QuoteService()
service._repo = SimpleNamespace(
get_minute_batch=lambda syms, d: local_df,
)
engine = SimpleNamespace(
intraday_signal_symbols=lambda at: set(symbols) if at == asset_type else set(),
)
minute_svc = SimpleNamespace(is_healthy=lambda: healthy)
service._app_state = SimpleNamespace(minute_refresh=minute_svc)
import app.services.quote_service as qsm
api_calls: list[list[str]] = []
monkeypatch.setattr(
qsm, "_noop", qsm.__dict__.get("_noop", None), raising=False) # 占位无操作
from app.services.kline_sync import intraday_monitor_support
monkeypatch.setattr(
"app.services.quote_service.logger", qsm.logger, raising=False)
# 打桩 API 拉取路径 (健康时不应被调)
import app.services.kline_sync as ks
monkeypatch.setattr(
ks, "fetch_intraday_monitor_batch",
lambda symbols, capset, *, now=None: (api_calls.append(list(symbols)), local_df)[1])
monkeypatch.setattr(
ks, "intraday_monitor_support",
lambda capset: {"available": True, "max_symbols": 200, "source": "minute_batch"})
evaluator = SimpleNamespace(
evaluate=lambda minute_df, **kw: (captured.append(minute_df), [])[1],
inject=lambda enriched, signals: enriched,
)
captured: list = []
service._intraday_signal_evaluator = evaluator
service._intraday_signal_bucket = {}
return service, engine, api_calls, captured
def test_intraday_signals_read_local_when_healthy(monkeypatch):
"""健康时股票读本地分区, 不触发 API 拉取。"""
local = pl.DataFrame({
"symbol": ["600519.SH"], "datetime": ["2026-01-15 09:31:00"],
"open": [100.0], "high": [101.0], "low": [99.0], "close": [100.5],
"volume": [1000.0], "amount": [100500.0],
})
service, engine, api_calls, captured = _injection_env(monkeypatch, healthy=True, local_df=local)
enriched = pl.DataFrame({"symbol": ["600519.SH"], "close": [100.5]})
service._inject_intraday_signals(enriched, engine, asset_type="stock")
assert api_calls == [] # 未走 API
assert captured and captured[0].height == 1 # evaluator 拿到本地数据
def test_intraday_signals_fall_back_to_api_when_unhealthy(monkeypatch):
"""不健康 (服务关/挂) 时回落原 API 拉取路径。"""
service, engine, api_calls, captured = _injection_env(monkeypatch, healthy=False, local_df=pl.DataFrame())
enriched = pl.DataFrame({"symbol": ["600519.SH"], "close": [100.5]})
service._inject_intraday_signals(enriched, engine, asset_type="stock")
assert api_calls == [["600519.SH"]] # 走了 API
def test_intraday_signals_etf_never_reads_local(monkeypatch):
"""ETF 不在全量分钟 universe: 即使健康也走 API 路径。"""
service, engine, api_calls, captured = _injection_env(
monkeypatch, healthy=True, local_df=pl.DataFrame(), asset_type="etf", symbols={"510300.SH"})
enriched = pl.DataFrame({"symbol": ["510300.SH"], "close": [4.0]})
service._inject_intraday_signals(enriched, engine, asset_type="etf")
assert api_calls == [["510300.SH"]]