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https://ghfast.top/https://github.com/aeroxw/tick-stock-panel.git
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shy3130
010c484289
像其他能力一样可路由: 声明 full_minute 数据集并在设置页路由, 即接入 盘中全市场分钟落盘服务 (与 TickFlow Expert 同一能力键 intraday.universe)。 - policy: _DATASET_CAP_MAP 增补 full_minute → INTRADAY_UNIVERSE, 自定义源 声明且被路由时自动补授能力, 服务门控对两类源统一口径 - capabilities 注册表: full_minute 从不可路由 (field=None) 改为 full_minute_data_provider 偏好路由; preferences/settings API 收发新字段 - 插件契约: get_intraday_batch (修复轮, 未实现回退 get_minute 当日窗口) + get_intraday_latest (稳态增量, 可选; 未实现降级仅修复轮, 节奏下限 60s) - YAML 声明式源: full_minute 数据集与 minute 同形, loader 白名单放行, 源编辑器 UI 可配置; 仅修复轮语义 - kline_sync 边界: fetch_intraday_custom_batch / _fetch_intraday_custom_latest, 帧过北京墙钟守卫, 与 TickFlow 边界函数同纪律 - minute_refresh: 删「自定义分钟源让位」逻辑, 改按路由取数; status 增 provider / provider_effective / repair_only - 前端: 监控页卡片按能力驱动, 数据源页路由矩阵, api.ts 类型 - 测试: 门控/路由/降级/增广新增用例, 后端 1332 全过 - 文档: plugin-development / custom-data-source / configuration / features / CONTRIBUTING 契约细化 (AI 可照文档接入)
447 lines
17 KiB
Python
447 lines
17 KiB
Python
"""盘中分钟增量刷新服务 (minute_refresh) 测试。
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覆盖:
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- 连续竞价时段判定 (含边界)
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- 门控链: 开关关闭 / 能力缺失 / 时段外 / 放行 (自定义源与 TickFlow 统一口径)
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- 数据源路由: full_minute 偏好 → 自定义源 (get_intraday_batch / get_intraday_latest /
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get_minute 回退) 或降级 TickFlow; 仅修复轮源 60s 节奏下限
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- 单轮: mock 边界层脉冲 + 落盘, 校验状态字段与 universe 来源
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- 偏好读写: 默认关闭、间隔 clamp [3, 120]
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- API: /minute-refresh/status 无服务时 available=false
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不发起真实网络请求: TickFlow 侧边界函数与 _write_minute_partition 均
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monkeypatch 替换; 自定义源侧用内存 fake provider 走真实边界包装。
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"""
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from __future__ import annotations
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from datetime import datetime
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import polars as pl
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from app.services import minute_refresh, preferences
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from app.services.minute_refresh import MinuteRefreshService, _in_continuous_session
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def _isolated_prefs(tmp_path, monkeypatch):
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path = tmp_path / "preferences.json"
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monkeypatch.setattr(preferences, "_path", lambda: path)
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preferences._invalidate_cache()
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return path
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class _FakeCapSet:
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def __init__(self, has_intraday_batch: bool):
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self._has = has_intraday_batch
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def has(self, cap) -> bool:
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from app.tickflow.capabilities import Cap
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# 服务门控挂 INTRADAY_UNIVERSE, 修复轮用 INTRADAY_BATCH — 两者同档, 一起授/不授
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return self._has and cap in (Cap.INTRADAY_BATCH, Cap.INTRADAY_UNIVERSE)
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class _FakeAppState:
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def __init__(self, has_intraday_batch: bool):
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self.capabilities = _FakeCapSet(has_intraday_batch)
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class _FakeRepo:
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def __init__(self, symbols: list[str]):
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from pathlib import Path
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self._inst = pl.DataFrame({"symbol": symbols})
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self.store = type("S", (), {"data_dir": Path(".")})()
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def get_instruments(self) -> pl.DataFrame:
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return self._inst
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# ── 时段判定 ────────────────────────────────────────────────────────
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def test_continuous_session_boundaries():
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wk = datetime(2026, 8, 25, 10, 0) # 周二
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assert _in_continuous_session(wk)
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assert not _in_continuous_session(datetime(2026, 8, 25, 9, 29))
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assert not _in_continuous_session(datetime(2026, 8, 25, 11, 31)) # 午休
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assert _in_continuous_session(datetime(2026, 8, 25, 13, 0)) # 午后恢复
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assert _in_continuous_session(datetime(2026, 8, 25, 15, 0)) # 收盘瞬时
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assert not _in_continuous_session(datetime(2026, 8, 25, 15, 1))
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assert not _in_continuous_session(datetime(2026, 8, 22, 10, 0)) # 周六
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# ── 门控链 ──────────────────────────────────────────────────────────
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def _svc(tmp_path, monkeypatch, *, enabled=True, capability=True, in_hours=True,
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full_minute_provider="tickflow", custom=None):
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"""custom 非 None 时模拟「full_minute 路由到声明该数据集的自定义源」:
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resolver 直接返回 fake provider (注册表在测试环境未加载)。"""
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_isolated_prefs(tmp_path, monkeypatch)
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preferences.save({"minute_refresh_enabled": enabled})
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monkeypatch.setattr(
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preferences, "get_full_minute_data_provider", lambda: full_minute_provider,
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)
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if custom is not None:
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monkeypatch.setattr(
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"app.services.kline_sync._resolve_full_minute_provider",
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lambda name: (custom, False, None),
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)
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svc = MinuteRefreshService(_FakeRepo(["600000.SH"]))
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svc.set_app_state(_FakeAppState(capability))
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monkeypatch.setattr(minute_refresh, "_in_continuous_session", lambda now=None: in_hours)
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# 交易日探针默认未知 (None → 放行): 隔离真实网络探测, holiday 分支在
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# test_trading_day.py 单独覆盖
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from app.services import trading_day
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monkeypatch.setattr(trading_day, "is_trading_day", lambda now=None: None)
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return svc
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def test_gate_disabled(tmp_path, monkeypatch):
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assert _svc(tmp_path, monkeypatch, enabled=False)._gate_reason() == "disabled"
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def test_gate_full_minute_custom_provider_runs(tmp_path, monkeypatch):
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"""全量分钟路由到自定义源: 不再让位 — 能力口径统一 (capset 增广后放行)。"""
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class _P: # noqa: D401 — fake provider
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def get_intraday_batch(self, symbols, count=300, asset_type="stock"):
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return pl.DataFrame()
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svc = _svc(tmp_path, monkeypatch, full_minute_provider="myfm", custom=_P())
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assert svc._gate_reason() is None
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assert svc.active_provider() == "myfm"
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assert svc.status()["provider"] == "myfm"
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def test_gate_capability_missing(tmp_path, monkeypatch):
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svc = _svc(tmp_path, monkeypatch, capability=False)
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assert svc._gate_reason() == "capability"
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def test_gate_outside_trading_hours(tmp_path, monkeypatch):
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svc = _svc(tmp_path, monkeypatch, in_hours=False)
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assert svc._gate_reason() == "outside_trading_hours"
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def test_gate_pass(tmp_path, monkeypatch):
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svc = _svc(tmp_path, monkeypatch)
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assert svc._gate_reason() is None
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assert svc.capability_ok() and svc.active_provider() == "tickflow"
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# ── 单轮 ────────────────────────────────────────────────────────────
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def test_run_round_writes_partition_and_updates_status(tmp_path, monkeypatch):
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svc = _svc(tmp_path, monkeypatch)
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minute_df = pl.DataFrame({
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"symbol": ["600000.SH"],
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"datetime": [datetime(2026, 8, 25, 1, 30)],
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"open": [10.0], "high": [10.5], "low": [9.9], "close": [10.2],
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"volume": [1000.0], "amount": [10200.0],
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})
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calls: dict = {}
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def fake_burst(symbols, capset, *, count=300):
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calls["symbols"] = list(symbols)
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return (minute_df, 1)
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def fake_write(df, minute_dir):
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calls["dir"] = minute_dir
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calls["rows"] = df.height
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return df.height
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monkeypatch.setattr(
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"app.services.kline_sync.fetch_intraday_full_market_burst", fake_burst
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)
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monkeypatch.setattr("app.services.kline_sync._write_minute_partition", fake_write)
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svc._run_round()
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assert calls["symbols"] == ["600000.SH"]
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assert calls["rows"] == 1
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st = svc.status()
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assert st["rounds"] == 1
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assert st["last_rows"] == 1
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assert st["last_symbols"] == 1
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assert st["last_requests"] == 1
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assert st["last_round_at"] is not None
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assert st["last_error"] is None
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assert st["capability_ok"] is True
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def test_run_round_records_error_when_burst_empty(tmp_path, monkeypatch):
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svc = _svc(tmp_path, monkeypatch)
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monkeypatch.setattr(
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"app.services.kline_sync.fetch_intraday_full_market_burst",
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lambda symbols, capset, *, count=300: (pl.DataFrame(), 3),
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)
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svc._run_round()
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st = svc.status()
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assert st["rounds"] == 0
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assert "no data" in st["last_error"]
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assert st["last_requests"] == 3
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# ── 两段式模式选择: 冷启动全天 → 稳态增量 ───────────────────────────
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def _patch_round(monkeypatch, *, lag, inc_df, burst_df):
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calls: dict = {"modes": []}
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monkeypatch.setattr(
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minute_refresh.MinuteRefreshService, "_today_coverage_lag_minutes",
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lambda self: lag, raising=True,
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)
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monkeypatch.setattr(
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"app.services.kline_sync.fetch_intraday_universe_increment",
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lambda *a, **k: (calls["modes"].append("increment"), (inc_df, 1))[1],
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)
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monkeypatch.setattr(
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"app.services.kline_sync.fetch_intraday_full_market_burst",
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lambda symbols, capset, *, count=300: (calls["modes"].append("full"), (burst_df, 28))[1],
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)
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monkeypatch.setattr(
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"app.services.kline_sync._write_minute_partition",
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lambda df, minute_dir: df.height,
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)
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return calls
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def _inc_df():
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return pl.DataFrame({
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"symbol": ["600000.SH", "000001.SZ"],
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"datetime": [datetime(2026, 8, 25, 10, 0)] * 2,
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"open": [10.0] * 2, "high": [10.5] * 2, "low": [9.9] * 2, "close": [10.2] * 2,
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"volume": [1000.0] * 2, "amount": [10200.0] * 2,
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})
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def _full_df():
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return _inc_df()
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def test_cold_start_no_local_data_uses_full_mode(tmp_path, monkeypatch):
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"""当日无数据 (lag=None, 如 10 点冷启动) → 全天修复轮。"""
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svc = _svc(tmp_path, monkeypatch)
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calls = _patch_round(monkeypatch, lag=None, inc_df=_inc_df(), burst_df=_full_df())
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svc._run_round()
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assert calls["modes"] == ["full"]
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st = svc.status()
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assert st["last_mode"] == "full"
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assert st["last_rows"] == 2
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def test_healthy_coverage_uses_increment_mode(tmp_path, monkeypatch):
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"""当日覆盖新鲜 (lag ≤ 3 分钟) → universe 单请求增量, 不打 burst。"""
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svc = _svc(tmp_path, monkeypatch)
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calls = _patch_round(monkeypatch, lag=0.2, inc_df=_inc_df(), burst_df=_full_df())
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svc._run_round()
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assert calls["modes"] == ["increment"]
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st = svc.status()
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assert st["last_mode"] == "increment"
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assert st["last_requests"] == 1
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assert st["last_symbols"] == 2
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assert st["last_rows"] == 2
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def test_stale_coverage_beyond_bar_headroom_falls_back_to_full(tmp_path, monkeypatch):
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"""覆盖滞后超过 3 分钟 (超过 universe 3 根余量) → 全天修复轮。"""
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svc = _svc(tmp_path, monkeypatch)
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calls = _patch_round(monkeypatch, lag=5.0, inc_df=_inc_df(), burst_df=_full_df())
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svc._run_round()
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assert calls["modes"] == ["full"]
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def test_consecutive_empty_rounds_escalate_to_full(tmp_path, monkeypatch):
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"""universe 连续 2 轮空返回 → 第 3 轮自动升级全天修复 (自愈)。"""
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svc = _svc(tmp_path, monkeypatch)
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calls = _patch_round(
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monkeypatch,
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lag=0.2,
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inc_df=pl.DataFrame(), # 增量恒空 (模拟 universe 端点持续异常)
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burst_df=_full_df(),
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)
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svc._run_round()
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svc._run_round()
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assert calls["modes"] == ["increment", "increment"]
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assert svc.status()["rounds"] == 0
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svc._run_round()
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assert calls["modes"] == ["increment", "increment", "full"]
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assert svc.status()["last_mode"] == "full"
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# ── 自定义源 (full_minute 路由) 轮次 ────────────────────────────────
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class _FakeCustomProvider:
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"""内存 fake: 按 flags 暴露 get_intraday_batch / get_intraday_latest / get_minute。"""
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def __init__(self, *, batch=False, latest=False, minute=False):
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self.calls: dict = {}
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# 未启用的方法置 None (实例属性遮蔽类方法) — getattr 返回 None → 边界
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# 包装按"未实现"处理, 与真实 provider 只暴露部分方法的形状一致
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if not batch:
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self.get_intraday_batch = None
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if not latest:
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self.get_intraday_latest = None
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if not minute:
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self.get_minute = None
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def get_intraday_batch(self, symbols, count=300, asset_type="stock"):
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self.calls["batch"] = list(symbols)
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return _full_df()
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def get_intraday_latest(self, symbols=None, count=3):
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self.calls["latest"] = count
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return _inc_df()
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def get_minute(self, symbols, start_time=None, end_time=None,
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asset_type="stock", freq="1m", on_chunk_done=None):
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self.calls["minute"] = {
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"symbols": list(symbols),
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"start": start_time, "end": end_time,
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}
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if on_chunk_done:
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on_chunk_done(1, 4)
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return _full_df()
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def _patch_write(monkeypatch) -> dict:
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calls = {"rows": None}
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monkeypatch.setattr(
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"app.services.kline_sync._write_minute_partition",
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lambda df, minute_dir: calls.update(rows=df.height) or df.height,
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)
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return calls
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def test_custom_provider_full_round_via_intraday_batch(tmp_path, monkeypatch):
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"""修复轮走 provider.get_intraday_batch (真实边界包装含时区守卫)。"""
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provider = _FakeCustomProvider(batch=True)
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svc = _svc(tmp_path, monkeypatch, full_minute_provider="myfm", custom=provider)
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monkeypatch.setattr(
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minute_refresh.MinuteRefreshService, "_today_coverage_lag_minutes",
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lambda self: None, # 冷启动 → 全天修复
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)
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write_calls = _patch_write(monkeypatch)
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svc._run_round()
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assert provider.calls["batch"] == ["600000.SH"]
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assert write_calls["rows"] == 2
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st = svc.status()
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assert st["last_mode"] == "full"
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assert st["provider"] == "myfm"
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assert st["provider_effective"] == "myfm"
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def test_custom_provider_increment_round_via_latest(tmp_path, monkeypatch):
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"""实现 get_intraday_latest 的源: 覆盖新鲜时走稳态增量, 不打全天批量。"""
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provider = _FakeCustomProvider(batch=True, latest=True)
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svc = _svc(tmp_path, monkeypatch, full_minute_provider="myfm", custom=provider)
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monkeypatch.setattr(
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minute_refresh.MinuteRefreshService, "_today_coverage_lag_minutes",
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lambda self: 0.2,
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)
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_patch_write(monkeypatch)
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svc._run_round()
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assert provider.calls == {"latest": 3}
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st = svc.status()
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assert st["last_mode"] == "increment"
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assert st["last_requests"] == 1
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assert st["repair_only"] is False
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def test_custom_provider_latest_missing_forces_full_with_minute_fallback(tmp_path, monkeypatch):
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"""无 get_intraday_latest: 增量轮退化为修复轮, 批量未实现时回退 get_minute
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(当日窗口), 节奏下限抬到 60s。"""
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provider = _FakeCustomProvider(minute=True)
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svc = _svc(tmp_path, monkeypatch, full_minute_provider="myfm", custom=provider)
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monkeypatch.setattr(
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minute_refresh.MinuteRefreshService, "_today_coverage_lag_minutes",
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lambda self: 0.2, # 覆盖新鲜 → 本应增量
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)
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_patch_write(monkeypatch)
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svc._run_round()
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# 增量退化为修复: 走 get_minute 回退 (chunk 回调统计请求数)
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assert "minute" in provider.calls
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assert provider.calls["minute"]["symbols"] == ["600000.SH"]
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assert svc.status()["last_mode"] == "full"
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assert svc.status()["last_requests"] == 4
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assert svc.repair_only() is True
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assert svc._effective_interval() == 60
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def test_custom_provider_unresolved_degrades_to_tickflow(tmp_path, monkeypatch):
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"""路由指向未声明 full_minute 数据集的源 (真实 resolver 判定) → 降级
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TickFlow 路径, 门控口径不变。"""
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svc = _svc(tmp_path, monkeypatch, full_minute_provider="not-registered")
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monkeypatch.setattr(
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minute_refresh.MinuteRefreshService, "_today_coverage_lag_minutes",
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lambda self: 0.2,
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)
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_patch_write(monkeypatch)
|
|
modes: list[str] = []
|
|
monkeypatch.setattr(
|
|
"app.services.kline_sync.fetch_intraday_universe_increment",
|
|
lambda *a, **k: (modes.append("tf-inc"), (_inc_df(), 1))[1],
|
|
)
|
|
monkeypatch.setattr(
|
|
"app.services.kline_sync.fetch_intraday_full_market_burst",
|
|
lambda symbols, capset, *, count=300: (modes.append("tf-full"), (_full_df(), 28))[1],
|
|
)
|
|
svc._run_round()
|
|
assert modes == ["tf-inc"]
|
|
st = svc.status()
|
|
assert st["provider_effective"] == "tickflow"
|
|
assert st["last_mode"] == "increment"
|
|
|
|
|
|
def test_status_reports_gate_reason_when_stopped(tmp_path, monkeypatch):
|
|
svc = _svc(tmp_path, monkeypatch, enabled=False)
|
|
st = svc.status()
|
|
assert st["enabled"] is False
|
|
assert st["running"] is False
|
|
assert st["gate_reason"] == "disabled"
|
|
assert st["interval_seconds"] == 6
|
|
|
|
|
|
# ── 偏好 ────────────────────────────────────────────────────────────
|
|
|
|
|
|
def test_refresh_preferences_defaults_and_clamp(tmp_path, monkeypatch):
|
|
_isolated_prefs(tmp_path, monkeypatch)
|
|
assert preferences.get_minute_refresh_enabled() is False
|
|
assert preferences.get_minute_refresh_interval() == 6
|
|
preferences.save({"minute_refresh_interval": 1})
|
|
assert preferences.get_minute_refresh_interval() == 3 # 下限
|
|
preferences.save({"minute_refresh_interval": 999})
|
|
assert preferences.get_minute_refresh_interval() == 120 # 上限
|
|
preferences.save({"minute_refresh_interval": 15})
|
|
assert preferences.get_minute_refresh_interval() == 15
|
|
|
|
def test_realtime_monitor_config_owns_refresh_keys(tmp_path, monkeypatch):
|
|
"""盘中增量配置归属实时监控端点 (set_realtime_monitor_config), 并 clamp 到 [3,120]。"""
|
|
_isolated_prefs(tmp_path, monkeypatch)
|
|
saved = preferences.set_realtime_monitor_config({
|
|
"minute_refresh_enabled": True,
|
|
"minute_refresh_interval": 1, # 越界 → clamp 到下限
|
|
})
|
|
assert saved["minute_refresh_enabled"] is True
|
|
assert saved["minute_refresh_interval"] == 3
|
|
saved = preferences.set_realtime_monitor_config({"minute_refresh_interval": 400})
|
|
assert saved["minute_refresh_interval"] == 120
|
|
saved = preferences.set_realtime_monitor_config({"minute_refresh_interval": 6})
|
|
assert saved["minute_refresh_interval"] == 6
|
|
|
|
|
|
def test_status_endpoint_without_service():
|
|
from fastapi import FastAPI
|
|
from fastapi.testclient import TestClient
|
|
|
|
from app.api.settings import router
|
|
|
|
app = FastAPI()
|
|
app.include_router(router)
|
|
client = TestClient(app)
|
|
resp = client.get("/api/settings/minute-refresh/status")
|
|
assert resp.status_code == 200
|
|
assert resp.json() == {"available": False}
|