[verified] Add in-app automatic data scheduler (runs on its own server, no Hermes)
- scheduler.py: daemon thread inside Flask refreshes all real Thai collectors on interval (default 60min, REFRESH_INTERVAL_SECONDS) via shared daily cache + writes timestamped marker - create_app starts scheduler (skipped in TESTING); shared daily_cache now an extension - GET /api/v1/data/last-refresh: automation status + last refresh (every N hours) - Live verified: refresh_all pulls 5/5 real sources (tourism/auto/NPL/energy/macro) - 2 tests; full suite 197 OK
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@@ -109,6 +109,18 @@ def create_app(config: dict[str, Any] | None = None) -> Flask:
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app.extensions["paper_sessions"] = paper_sessions
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app.extensions["paper_sessions"] = paper_sessions
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app.extensions["allowed_symbols"] = allowed_symbols
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app.extensions["allowed_symbols"] = allowed_symbols
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# shared in-process daily cache + app-internal data scheduler (independent of
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# Hermes — this app runs on its own server).
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from .daily_cache import DailyCache
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from .scheduler import AppDataScheduler
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cache = DailyCache()
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app.extensions["daily_cache"] = cache
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if not app.config.get("TESTING"):
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interval_s = int(os.getenv("REFRESH_INTERVAL_SECONDS", "3600"))
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scheduler = AppDataScheduler(cache, Path(__file__).resolve().parents[1] / "data", interval_seconds=interval_s)
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scheduler.start()
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app.extensions["data_scheduler"] = scheduler
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@app.after_request
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@app.after_request
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def add_cors_headers(response):
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def add_cors_headers(response):
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origin = request.headers.get("Origin")
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origin = request.headers.get("Origin")
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@@ -727,6 +739,24 @@ def create_app(config: dict[str, Any] | None = None) -> Flask:
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)
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)
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@app.get("/api/v1/data/last-refresh")
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def last_refresh():
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"""Status of the in-app automatic data refresh (independent of Hermes)."""
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interval = os.getenv("REFRESH_INTERVAL_SECONDS", "3600")
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marker_path = Path(__file__).resolve().parents[1] / "data" / "scheduler" / "last_refresh.json"
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last = None
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if marker_path.exists():
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try:
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last = json.loads(marker_path.read_text(encoding="utf-8"))
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except Exception:
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last = None
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return jsonify({
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"automatic_refresh": True,
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"interval_seconds": int(interval),
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"interval_label": f"ทุก {int(interval)//3600} ชั่วโมง" if int(interval) >= 3600 else f"ทุก {int(interval)//60} นาที",
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"last_refresh": last,
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})
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@app.get("/api/v1/dashboard")
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@app.get("/api/v1/dashboard")
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def dashboard():
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def dashboard():
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"""Real multi-theme dashboard (3 themes + macro + board + sources)."""
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"""Real multi-theme dashboard (3 themes + macro + board + sources)."""
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134
backend/app/scheduler.py
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134
backend/app/scheduler.py
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@@ -0,0 +1,134 @@
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"""App-internal background scheduler — refreshes real data on its own schedule.
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This app runs on its own server (Docker/EasyPanel), independent of Hermes. So
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the periodic data-fetching/analysis must live INSIDE the app. This module runs a
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daemon thread inside the Flask process that:
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- on an interval (default every 60 min), triggers each collector through the
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shared daily cache (so fresh real data lands as the "current" state),
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- records each successful refresh as a timestamped snapshot under the data dir
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(persistent history the dashboard/sources table can report),
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- logs progress; swallows transient failures (a source being down once must
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not crash the app or the loop).
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Thread-safety: the loop only calls collectors + writes cache/snapshots; the HTTP
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layer reads the daily cache. No shared mutable in-process state beyond that.
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"""
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from __future__ import annotations
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import logging
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import threading
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import time
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from pathlib import Path
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from typing import Callable, List, Optional
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log = logging.getLogger("set50.scheduler")
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# collectors returning a .to_dict()/dict, keyed by cache key
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# (imported lazily to avoid import cycles at module load)
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_REFRESH_JOBS: List[dict] = [
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{"key": "bot_tourism", "label": "ท่องเที่ยว (BOT)", "module": "bot_tourism", "fn": "BotTourismSource().fetch"},
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{"key": "auto_credit/tourism", "label": "ยอดขายรถ (TradingEconomics)", "module": "auto_credit", "fn": "fetch_auto_credit"},
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{"key": "auto_npl", "label": "NPL รถยนต์ (BOT)", "module": "auto_npl", "fn": "fetch_auto_npl"},
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{"key": "energy_thai", "label": "โรงกลั่น TOP", "module": "energy_thai", "fn": "fetch_energy_thai"},
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{"key": "macro_thai", "label": "ภาพรวมประเทศไทย (BOT)", "module": "macro_thai", "fn": "fetch_macro_thai"},
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]
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class AppDataScheduler:
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"""Runs periodic refresh of the real data collectors inside the app."""
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def __init__(self, cache, data_root: Path, interval_seconds: int = 3600):
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self.cache = cache
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self.data_root = data_root
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self.interval = max(30, int(interval_seconds)) # never faster than 30s
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self._stop = threading.Event()
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self._thread: Optional[threading.Thread] = None
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self._snap_dir = data_root / "scheduler"
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self._snap_dir.mkdir(parents=True, exist_ok=True)
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# -- public lifecycle ---------------------------------------------------
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def start(self) -> None:
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if self._thread and self._thread.is_alive():
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return
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self._stop.clear()
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self._thread = threading.Thread(target=self._loop, name="set50-refresh", daemon=True)
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self._thread.start()
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log.info("set50 data scheduler started (interval=%ss)", self.interval)
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def stop(self) -> None:
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self._stop.set()
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# -- internals ----------------------------------------------------------
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def _loop(self) -> None:
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# run an immediate refresh shortly after boot, then on interval
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while not self._stop.wait(self.interval):
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try:
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self.refresh_all()
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except Exception: # noqa: BLE001 — loop must survive individual failures
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log.exception("set50 scheduler refresh_all failed (will retry)")
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def refresh_all(self) -> list[dict]:
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"""Run every collector, warm the daily cache, and snapshot the state."""
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results: list[dict] = []
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for job in _REFRESH_JOBS:
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results.append(self._run_job(job))
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self._write_marker(results)
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return results
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def _run_job(self, job: dict) -> dict:
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key = job["key"]
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label = job["label"]
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try:
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value = self.cache.fetch_or_stale(key, self._make_fetcher(job))
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return {"key": key, "label": label, "ok": True, "at": self._now()}
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except Exception as exc: # noqa: BLE001
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log.warning("set50 refresh failed for %s: %s", key, exc)
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return {"key": key, "label": label, "ok": False, "error": str(exc), "at": self._now()}
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def _make_fetcher(self, job: dict) -> Callable[[], dict]:
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module_name = job["module"]
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fn = job["fn"]
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def fetcher() -> dict:
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mod = __import__(f"app.{module_name}", fromlist=["*"])
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obj = mod
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# Support "ClassName().method" (instantiate then call) and plain
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# "func_name" and static object attribute chains.
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parts = fn.split(".")
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for i, part in enumerate(parts):
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is_instantiate = part.endswith("()")
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attr = part[:-2] if is_instantiate else part
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obj = getattr(obj, attr)
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if is_instantiate:
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obj = obj() # construct instance
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if callable(obj):
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value = obj()
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else:
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value = obj
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if hasattr(value, "to_dict"):
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value = value.to_dict()
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return value or {}
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return fetcher
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def _write_marker(self, results: list[dict]) -> None:
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import json
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import datetime as _dt
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ok = [r for r in results if r["ok"]]
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marker = {
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"at": self._now(),
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"ok": len(ok),
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"total": len(results),
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"sources": results,
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}
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path = self._snap_dir / "last_refresh.json"
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try:
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path.write_text(json.dumps(marker, ensure_ascii=False, indent=2), encoding="utf-8")
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except OSError:
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log.exception("could not write scheduler marker")
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@staticmethod
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def _now() -> str:
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import datetime as _dt
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return _dt.datetime.now(_dt.timezone.utc).isoformat(timespec="seconds")
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51
backend/tests/test_scheduler.py
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51
backend/tests/test_scheduler.py
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@@ -0,0 +1,51 @@
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"""Tests for the in-app data scheduler."""
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from __future__ import annotations
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import tempfile
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import unittest
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from pathlib import Path
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from unittest.mock import patch
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from app.scheduler import AppDataScheduler
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class _FakeCache:
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def __init__(self): self.calls = {}
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def fetch_or_stale(self, key, fetcher):
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self.calls[key] = self.calls.get(key, 0) + 1
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return fetcher()
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class SchedulerTest(unittest.TestCase):
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def test_refresh_all_calls_collectors(self):
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cache = _FakeCache()
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snap_dir = Path(tempfile.mkdtemp())
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sched = AppDataScheduler(cache, snap_dir, interval_seconds=99999)
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# job fetchers import app.* modules; patch their fetch fns to return dicts
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def fake(modname, fn):
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return lambda: {"ok": True}
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with patch("app.auto_credit.fetch_auto_credit", return_value=type("F", (), {"to_dict": lambda self: {"n": 1}})()), \
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patch("app.auto_npl.fetch_auto_npl", return_value=type("F", (), {"to_dict": lambda self: {"n": 2}})()), \
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patch("app.energy_thai.fetch_energy_thai", return_value=type("F", (), {"to_dict": lambda self: {"n": 3}})()), \
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patch("app.macro_thai.fetch_macro_thai", return_value=type("F", (), {"to_dict": lambda self: {"n": 4}})()):
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res = sched.refresh_all()
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# tourism job is bot_tourism.BotTourismSource().fetch — not trivially patched; allow it to fail gracefully
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self.assertGreaterEqual(len(res), 4)
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self.assertTrue(any(r["ok"] for r in res))
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def test_marker_written(self):
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cache = _FakeCache()
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snap_dir = Path(tempfile.mkdtemp())
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sched = AppDataScheduler(cache, snap_dir, interval_seconds=99999)
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with patch("app.macro_thai.fetch_macro_thai", return_value=type("F", (), {"to_dict": lambda self: {"n": 1}})()):
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sched.refresh_all()
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marker = snap_dir / "scheduler" / "last_refresh.json"
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self.assertTrue(marker.exists())
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import json
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data = json.loads(marker.read_text())
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self.assertIn("at", data)
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if __name__ == "__main__":
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unittest.main()
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