Files
tick-stock-panel/backend/app/services/minute_refresh.py
T
shy3130 95cd99ab8c merge: 同步 main (辐射本地读 + 传输压缩/网络设置) 到全量分钟分支
冲突两处均为 minute-refresh status 字段两侧各自新增, 两者全保留
(healthy + provider/provider_effective/repair_only)。
2026-09-01 13:05:21 +08:00

413 lines
19 KiB
Python

"""盘中分钟K增量落盘服务 (全量分钟能力, 按能力路由)。
两段式拉取 (见 feat/minute-strategy 方案):
- 全天修复轮: 全市场日内分时批量并发脉冲一次拉当日全部分钟K — 冷启动
(如 10 点才开服务, 补 9:30 起缺口) / 覆盖滞后超阈值 / 连续空轮自愈时触发。
- 稳态增量轮: 传标的池/universe 单请求返回全市场每只最新 3 根, 靠
_write_minute_partition 的 unique(symbol,datetime) 幂等合并滚出全天。
单轮合并写入当日 kline_minute 分区, 供分钟策略 (minute_filter) 读到新鲜数据。
数据源路由 (像其他能力一样可接入):
- 生效源由偏好 full_minute_data_provider 决定 (设置 → 数据源 → 全量分钟):
TickFlow (Expert 档, intraday.batch + intraday.universe) 或声明 full_minute
数据集的插件/自定义源。
- 自定义源契约 (docs/plugin-development.md): get_intraday_batch(symbols) 修复轮
(未实现自动回退 get_minute 当日窗口); get_intraday_latest(count) 稳态增量
(可选, 未实现自动降级为仅修复轮并放慢节奏至 >=60s)。
- 能力门控 Cap.INTRADAY_UNIVERSE: TickFlow 按档位探测, 自定义源声明数据集且
被路由时由 policy._augment_custom_sources 补授 — 门控口径对两类源统一。
设计约束:
- 修复轮并发脉冲: TickFlow 路径全市场按 batch_size 分块 (5546/200 = 28 块)
一次打出。任何 60s 滑动窗口至多一个脉冲 (28 < 48 安全 rpm); 单块失败不拖垮
整轮, 失败块单独重试一次 (见 fetch_intraday_full_market_burst)。自定义源
由 provider 自管批量与限速 (rpm 配置/内部并发), 服务不代限。
- 稳态轮单请求: 无脉冲并发, 间隔可低至 3s; 实际节奏 = max(间隔, 单轮完成),
服务端响应 ~5s 时自动退化为响应节奏, 不会重叠请求。
- 固定节奏: 默认 6s 一轮 (clamp [3, 300]), 不补跑 (missed 轮次直接跳过);
仅修复轮的自定义源下限抬到 60s (全天批量打不住 6s 节奏)。
- 仅连续竞价时段运行 (9:30-11:30 / 13:00-15:00), 午休/收盘自动暂停与恢复;
午休后恢复因覆盖滞后会多跑一次修复轮, 幂等无害。
- 不与其他分钟能力冲突: 与 盘后分钟同步 (kline.minute.batch) / 分时监控路径
分属不同限流池; 落盘走 _write_minute_partition 的 unique(symbol,datetime)
合并, 与盘后同步写同一分区安全幂等。
分层: 本模块只做调度/落盘/状态; 取数全部经 kline_sync 边界层
(TickFlow: fetch_intraday_full_market_burst / fetch_intraday_universe_increment;
自定义: fetch_intraday_custom_batch / fetch_intraday_custom_latest),
保持插件化边界不泄漏。
"""
from __future__ import annotations
import contextlib
import logging
import threading
import time
from dataclasses import dataclass, field
from typing import Any
import polars as pl
from app.market_time import cn_now, cn_today, in_continuous_session
from app.services import preferences
logger = logging.getLogger(__name__)
# 轮询间隔允许范围 (秒): 稳态轮单请求无并发脉冲, 下限 3s;
# 上限 120s — universe 端点每标的只回最新 3 根, 间隔超过 3 分钟必留缺口,
# 每轮都会触发修复轮, 稳态设计失效, 故不允许配到 120s 以上。
REFRESH_INTERVAL_MIN = 3
REFRESH_INTERVAL_MAX = 120
# 等待步长 (秒): 循环小步睡眠, 便于快速停止与偏好热生效。
_LOOP_STEP_S = 2.0
# 当日覆盖滞后超过该分钟数 (≈ universe 单请求 3 根余量) → 触发全天修复轮。
_REPAIR_LAG_MINUTES = 3.0
# 连续空轮达到该次数 → 强制全天修复轮 (自愈 universe 端点持续异常)。
_EMPTY_ROUNDS_TO_REPAIR = 2
# 仅修复轮的自定义源 (无 get_intraday_latest 廉价增量): 全天批量节奏下限,
# 6s 一轮全市场拉取会把绝大多数源打爆。
_REPAIR_ONLY_MIN_INTERVAL_S = 60
def _in_continuous_session(now=None) -> bool:
"""A股连续竞价时段 (北京时间): 9:30-11:30 / 13:00-15:00, 仅工作日。"""
return in_continuous_session(now)
@dataclass
class _RefreshState:
"""服务运行状态 (status() 的内存镜像, 循环线程内更新)。"""
rounds: int = 0
last_round_at: float | None = None # epoch 秒
last_round_ms: float | None = None # 单轮耗时
last_rows: int = 0 # 上轮写入行数 (合并后)
last_symbols: int = 0 # 上轮覆盖标的数
last_requests: int = 0 # 上轮请求数 (增量恒 1, 修复=分块数+重试)
last_mode: str | None = None # 上轮模式: "increment" / "full"
last_error: str | None = None
next_round_at: float | None = None # epoch 秒
extra: dict[str, Any] = field(default_factory=dict)
class MinuteRefreshService:
"""盘中分钟增量刷新: 单实例挂 app.state.minute_refresh, 后台守护线程。"""
def __init__(self, repo) -> None:
self._repo = repo
self._app_state: Any | None = None
self._thread: threading.Thread | None = None
self._stop = threading.Event()
self._state = _RefreshState()
self._round_lock = threading.Lock() # 同时只允许一轮 (手动触发与定时轮互斥)
self._empty_rounds = 0 # 连续空轮计数 (escalate 到全天修复)
# ------------------------------------------------------------------
# 生命周期
# ------------------------------------------------------------------
def set_repo(self, repo) -> None:
self._repo = repo
def set_app_state(self, app_state: Any) -> None:
self._app_state = app_state
def start(self) -> bool:
"""启动后台线程 (幂等)。开关/时段/能力判断都在循环内每轮做, 热生效。"""
if self._thread is not None and self._thread.is_alive():
return True
self._stop.clear()
self._thread = threading.Thread(
target=self._loop, name="minute-refresh", daemon=True,
)
self._thread.start()
return True
def stop(self) -> None:
self._stop.set()
# ------------------------------------------------------------------
# 门控
# ------------------------------------------------------------------
def capability_ok(self) -> bool:
"""Cap.INTRADAY_UNIVERSE (全量分钟) 存在。能力探测结果缓存在 app.state。
门控挂在稳态增量的主能力上; TickFlow 路径全天修复轮用的 intraday.batch
与其同属 Expert 档 (tiers.yaml), 两者必然同时持有。自定义源声明
full_minute 数据集且被路由时, 由 policy._augment_custom_sources 补授
同一能力键 — 门控口径对两类源统一。
"""
capset = getattr(self._app_state, "capabilities", None) if self._app_state else None
if capset is None:
return False
try:
from app.tickflow.capabilities import Cap
return capset.has(Cap.INTRADAY_UNIVERSE)
except Exception:
return False
def active_provider(self) -> str:
"""全量分钟生效源名 ("tickflow" 或自定义源名, 偏好 full_minute_data_provider)。"""
try:
return preferences.get_full_minute_data_provider()
except Exception: # noqa: BLE001 — 偏好文件异常按 TickFlow 处理
return "tickflow"
def _resolve_custom(self) -> tuple[object | None, str]:
"""解析自定义源。返回 (provider_or_None, effective_name):
- 偏好 tickflow / 源未声明 full_minute 数据集 / 解析异常 → (None, "tickflow")
(与 minute 数据集同纪律: 静默降级 TickFlow, 能力门控决定能否真正运行)
- 成功 → (provider, name)
"""
from app.services import kline_sync
name = self.active_provider()
if name == "tickflow":
return (None, "tickflow")
provider, use_tickflow, err = kline_sync._resolve_full_minute_provider(name)
if use_tickflow:
if err is not None:
logger.warning(
"full_minute provider %s 解析失败, 本轮降级 TickFlow: %s", name, err,
)
return (None, "tickflow")
return (provider, name)
def _custom_supports_increment(self, provider: object) -> bool:
"""自定义源是否实现 get_intraday_latest (稳态增量); 否则仅修复轮。"""
return callable(getattr(provider, "get_intraday_latest", None))
def repair_only(self) -> bool:
"""当前生效源只能全天修复轮 (无廉价增量端点) — 节奏下限抬到 60s。"""
provider, name = self._resolve_custom()
return provider is not None and not self._custom_supports_increment(provider)
def _effective_interval(self) -> int:
"""本轮间隔: 偏好值; 仅修复轮的自定义源下限 60s (全天批量打不住 6s 节奏)。"""
interval = preferences.get_minute_refresh_interval()
if self.repair_only():
return max(interval, _REPAIR_ONLY_MIN_INTERVAL_S)
return interval
def _gate_reason(self) -> str | None:
"""返回本轮不执行的原因 (None = 放行)。"""
if not preferences.get_minute_refresh_enabled():
return "disabled"
if not self.capability_ok():
return "capability"
if not _in_continuous_session():
return "outside_trading_hours"
# 节假日 (工作日但休市): 周几门控覆盖不到, 由交易日探针剔除。
# 未知 (None) 维持现状 — 空轮升级机制兜底 (探针失灵时的第二道防线)。
from app.services import trading_day
if trading_day.is_trading_day() is False:
return "holiday"
return None
# ------------------------------------------------------------------
# 主循环
# ------------------------------------------------------------------
def _loop(self) -> None:
while not self._stop.is_set():
try:
reason = self._gate_reason()
if reason is None:
interval = self._effective_interval()
started = time.time()
self._run_round()
# 固定节奏: 下一轮 = max(本轮起点+间隔, 本轮完成), 不补跑
finish = time.time()
self._state.next_round_at = max(started + interval, finish)
# 等到下一轮 (小步睡眠保持可停/偏好热切换)
while not self._stop.is_set():
now = time.time()
gate = self._gate_reason()
if gate is not None:
self._state.next_round_at = None
break # 门控关闭 → 回外层等待重评估
if now >= self._state.next_round_at:
break
self._stop.wait(min(_LOOP_STEP_S, max(0.0, self._state.next_round_at - now)))
continue
except Exception as e:
self._state.last_error = f"round failed: {e}"
logger.warning("全量分钟轮次异常: %s", e)
self._stop.wait(_LOOP_STEP_S)
# ------------------------------------------------------------------
# 单轮
# ------------------------------------------------------------------
def _today_coverage_lag_minutes(self) -> float | None:
"""当日分区最新K距现在的分钟数; None = 当日无数据。
覆盖度探测只读当日分区文件 (毫秒级); 任何异常按无数据处理 →
本轮走全天修复, 不会因探测失败而丢增量。
"""
with contextlib.suppress(Exception):
part = (
self._repo.store.data_dir / "kline_minute"
/ f"date={cn_today().isoformat()}" / "part.parquet"
)
if not part.exists():
return None
mx = pl.read_parquet(part, columns=["datetime"])["datetime"].max()
if mx is None:
return None
# 分区 datetime 为北京墙钟 naive, cn_now 带时区 → 剥齐再比
return (cn_now().replace(tzinfo=None) - mx).total_seconds() / 60
return None
def _select_mode(self) -> str:
"""选轮次模式: 稳态增量 (universe 单请求) vs 全天修复 (burst 脉冲)。
当日已有数据且覆盖滞后 ≤ _REPAIR_LAG_MINUTES (≈ 3 根余量) → 增量;
冷启动 / 断档超阈值 / 连续空轮 → 全天修复。
"""
if self._empty_rounds >= _EMPTY_ROUNDS_TO_REPAIR:
return "full"
lag = self._today_coverage_lag_minutes()
if lag is None or lag > _REPAIR_LAG_MINUTES:
return "full"
return "increment"
def _run_round(self) -> None:
from app.services import kline_sync
t0 = time.perf_counter()
custom, provider_name = self._resolve_custom()
mode = self._select_mode()
if mode == "increment" and custom is not None and not self._custom_supports_increment(custom):
# 无廉价增量端点的源: 增量轮退化为修复轮 (全天批量幂等覆盖, 数据不丢)
mode = "full"
mode_label = "增量" if mode == "increment" else "全天修复"
with self._round_lock:
if mode == "increment":
# fetch 计时只覆盖网络取数; full 分支的 universe 维表读取不计入
fetch_started = time.perf_counter()
if custom is not None:
latest = kline_sync.fetch_intraday_custom_latest(custom, provider_name)
df, requests = latest if latest is not None else (pl.DataFrame(), 0)
else:
df, requests = kline_sync.fetch_intraday_universe_increment()
self._state.last_symbols = (
df["symbol"].n_unique() if not df.is_empty() else 0
)
else:
symbols = self._universe()
self._state.last_symbols = len(symbols)
if not symbols:
self._state.last_error = "empty universe (instruments 未加载)"
logger.warning("全量分钟[%s] 本轮中止: 标的池为空 (instruments 未加载)", mode_label)
return
fetch_started = time.perf_counter()
if custom is not None:
df, requests = kline_sync.fetch_intraday_custom_batch(
custom, provider_name, symbols,
)
else:
capset = getattr(self._app_state, "capabilities", None) if self._app_state else None
df, requests = kline_sync.fetch_intraday_full_market_burst(symbols, capset)
fetch_ms = (time.perf_counter() - fetch_started) * 1000
self._state.last_requests = requests
if df.is_empty():
self._empty_rounds += 1
self._state.last_error = f"intraday {mode} returned no data"
logger.warning(
"全量分钟[%s] 本轮返回空数据: %d 请求, 取数 %.0fms",
mode_label, requests, fetch_ms,
)
return
self._empty_rounds = 0
write_started = time.perf_counter()
written = kline_sync._write_minute_partition(
df, self._repo.store.data_dir / "kline_minute",
)
write_ms = (time.perf_counter() - write_started) * 1000
self._state.rounds += 1
self._state.last_round_at = time.time()
self._state.last_round_ms = (time.perf_counter() - t0) * 1000
self._state.last_rows = written
self._state.last_mode = mode
self._state.last_error = None
logger.info(
"全量分钟[%s] 第 %d 轮: 取数 %.0fms (%d 请求, %d 标的), "
"落盘 %.0fms (%d 行), 总计 %.0fms",
mode_label, self._state.rounds, fetch_ms, self._state.last_requests,
self._state.last_symbols, write_ms, written, self._state.last_round_ms,
)
def _universe(self) -> list[str]:
"""全市场 A 股标的 (instruments 维表, 与盘后分钟同步同一来源)。"""
inst = self._repo.get_instruments()
if inst.is_empty() or "symbol" not in inst.columns:
return []
return inst["symbol"].cast(pl.Utf8).unique().sort().to_list()
# ------------------------------------------------------------------
# 状态
# ------------------------------------------------------------------
def is_healthy(self) -> bool:
"""读侧 freshness 判定: 本地 kline_minute 分区是否正被服务持续写入。
条件: 偏好开启 + 轮询线程存活 + 最近一轮距现在 ≤ max(2*间隔, 30s)。
健康时消费方 (自选分时等) 可信任本地分区、跳过批量补拉;
连续失败轮不更新 last_round_at → 自动超时判不健康, 无需单独盯 last_error。
"""
try:
if not preferences.get_minute_refresh_enabled():
return False
except Exception: # noqa: BLE001 — 偏好文件异常按不健康处理
return False
if self._thread is None or not self._thread.is_alive():
return False
last = self._state.last_round_at
if last is None:
return False
interval = preferences.get_minute_refresh_interval()
return (time.time() - float(last)) <= max(2.0 * interval, 30.0)
def status(self) -> dict[str, Any]:
import contextlib
with contextlib.suppress(Exception):
enabled = preferences.get_minute_refresh_enabled()
running = self._thread is not None and self._thread.is_alive()
gate = self._gate_reason()
return {
"enabled": enabled,
"running": running,
"healthy": self.is_healthy(),
"provider": self.active_provider(),
"provider_effective": self._resolve_custom()[1],
"repair_only": self.repair_only(),
"interval_seconds": preferences.get_minute_refresh_interval(),
"capability_ok": self.capability_ok(),
"in_trading_hours": _in_continuous_session(),
"gate_reason": gate if (enabled and running) else (gate or "disabled"),
"rounds": self._state.rounds,
"last_round_at": self._state.last_round_at,
"last_round_ms": self._state.last_round_ms,
"last_rows": self._state.last_rows,
"last_symbols": self._state.last_symbols,
"last_requests": self._state.last_requests,
"last_mode": self._state.last_mode,
"next_round_at": self._state.next_round_at,
"last_error": self._state.last_error,
}
def trigger_manual_round(self) -> dict[str, Any]:
"""手动触发一轮 (无视时段门控, 但仍受能力门控); 供状态页「立即刷新」。"""
if not self.capability_ok():
return {"ok": False, "reason": self._gate_reason() or "capability"}
threading.Thread(target=self._run_round, daemon=True, name="minute-refresh-manual").start()
return {"ok": True}