Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: multica-agent <github@multica.ai>
150 lines
5.3 KiB
Python
150 lines
5.3 KiB
Python
from __future__ import annotations
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import threading
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from collections.abc import Callable
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from datetime import datetime, time
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from typing import Any
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from datahub.db import HubDB
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from datahub.logutil import get_logger
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from datahub.pipeline import Pipeline
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from datahub.timeutil import isoformat, now_shanghai, yyyymmdd
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LOGGER = get_logger()
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JobFn = Callable[[str], Any]
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def is_open_day(db: HubDB, day: str) -> bool:
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row = db.fetchone(
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"SELECT is_open FROM trade_calendar WHERE exchange = 'SSE' AND cal_date = ?",
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(day,),
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)
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if row is None:
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return True # unknown calendar: do not skip reference refresh
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return int(row["is_open"]) == 1
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class Scheduler:
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"""Calendar-driven in-process scheduler. Non-trading days skip EOD fetches."""
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def __init__(self, db: HubDB, pipeline: Pipeline, jobs: dict[str, JobFn] | None = None) -> None:
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self.db = db
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self.pipeline = pipeline
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self.jobs = jobs or {
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"precheck": self._precheck,
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"eod_a": self._eod_a,
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"eod_b": self._eod_b,
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"cleanup": self._cleanup,
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"backup": self._backup,
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"history_backfill": self._history_backfill,
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}
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self._stop = threading.Event()
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self._thread: threading.Thread | None = None
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self._fired: set[tuple[str, str, str]] = set()
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def start(self, interval_seconds: float = 30.0) -> None:
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if self._thread and self._thread.is_alive():
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return
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def loop() -> None:
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while not self._stop.wait(interval_seconds):
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try:
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self.tick()
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except Exception:
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LOGGER.exception("scheduler tick failed")
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self._thread = threading.Thread(target=loop, name="datahub-scheduler", daemon=True)
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self._thread.start()
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def stop(self, timeout: float = 5.0) -> None:
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self._stop.set()
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if self._thread and self._thread is not threading.current_thread():
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self._thread.join(timeout)
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def tick(self, clock: datetime | None = None) -> list[str]:
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now = clock or now_shanghai()
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day = yyyymmdd(now)
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current = now.timetz() if False else now.time()
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ran: list[str] = []
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plan = [
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("precheck", time(8, 45)),
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("eod_a", time(15, 5)),
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("eod_b", time(15, 10)),
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("cleanup", time(0, 30)),
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("backup", time(0, 40)),
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]
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open_day = is_open_day(self.db, day)
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for job_id, at in plan:
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if current < at:
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continue
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key = (job_id, day, at.strftime("%H%M"))
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if key in self._fired:
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continue
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if job_id in {"eod_a", "eod_b"} and not open_day:
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self._fired.add(key)
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continue
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self._fired.add(key)
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self.run_job(job_id, day)
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ran.append(job_id)
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return ran
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def run_job(self, job_id: str, trade_date: str) -> dict[str, Any]:
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fn = self.jobs.get(job_id)
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if fn is None:
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raise KeyError(job_id)
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started = isoformat()
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run_id = None
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with self.db.write() as connection:
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cur = connection.execute(
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"INSERT INTO job_runs(job_id, state, started_at, attempt) VALUES (?,?,?,1)",
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(job_id, "running", started),
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)
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run_id = cur.lastrowid
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try:
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result = fn(trade_date) or {}
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with self.db.write() as connection:
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connection.execute(
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"UPDATE job_runs SET state=?, finished_at=?, rows_out=?, detail=? WHERE id=?",
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("ok", isoformat(), result.get("rows") if isinstance(result, dict) else None, str(result)[:2000], run_id),
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)
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return {"job_id": job_id, "result": result, "state": "ok"}
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except Exception as exc:
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with self.db.write() as connection:
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connection.execute(
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"UPDATE job_runs SET state=?, finished_at=?, error=? WHERE id=?",
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("failed", isoformat(), str(exc), run_id),
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)
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raise
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def _precheck(self, trade_date: str) -> dict[str, Any]:
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return self.pipeline.ingest_reference(trade_date)
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def _eod_a(self, trade_date: str) -> dict[str, Any]:
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return self.pipeline.run_eod_batch_a(trade_date)
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def _eod_b(self, trade_date: str) -> dict[str, Any]:
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return self.pipeline.run_eod_batch_b(trade_date)
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def _history_backfill(self, trade_date: str) -> dict[str, Any]:
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return self.pipeline.backfill_history(trade_date)
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def _cleanup(self, trade_date: str) -> dict[str, Any]:
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result = self.pipeline.cleanup()
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if now_shanghai().weekday() == 6:
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self.pipeline.db.vacuum()
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result["vacuum"] = True
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return result
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def _backup(self, trade_date: str) -> dict[str, Any]:
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from pathlib import Path
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dest_dir = Path(self.pipeline.settings.backup_dir)
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dest = dest_dir / f"datahub-{trade_date}.db"
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self.pipeline.db.backup_to(dest)
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keep = int(self.pipeline.settings.quality.get("backup_retain") or 14)
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backups = sorted(dest_dir.glob("datahub-*.db"))
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for old in backups[:-keep]:
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old.unlink(missing_ok=True)
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return {"path": str(dest.name), "kept": min(len(backups), keep)}
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