Three new data sources hooked into the existing SOURCES registry. All
open APIs, no keys:
- EUROSTAT: prefix EUROSTAT:dataset?dim=val&... — current EU bond
yields (Bund/OAT/BTP/EZ) and Eurozone economic indicators that
FRED's OECD-mirror series stopped updating in 2022-2023.
- ONS: prefix ONS:topic/cdid/dataset — current UK CPI, unemployment,
GDP, industrial production. Replaces the 5+ month-stale FRED
LRHUTTTTGBM156S mirror.
New indicator groups in default.toml feed the strategic/fundamental
lens we converged on: valuation (CAPE/Buffett anchors), bubble_watch
(SKEW/VVIX/RSP vs SPY/HYG vs TLT/IPO/crypto), economy (multi-region,
ALL current-or-stale-flagged), bonds (UK/EU/US/JPN sovereign yields).
Indicator panel now opens with an AI "read" interpretation per group
(generated hourly at :07 UTC alongside an aggregate cross-group read
shown in the dashboard header). The aggregate is grounded by a markets
strip — NYSE/LSE/Frankfurt/Tokyo/HK/Shanghai with open/closed LEDs and
next-open countdown, computed locally from each exchange's tz.
Other UX bits: indicator-row tooltips populated from TOML notes;
rows whose last observation is >90 days old get a 'stale' chip;
ghost symbols (in DB but no longer in TOML) filtered out of the
panel; Eurostat/ONS symbols display as short codes rather than the
full API path.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
68 lines
2.3 KiB
Python
68 lines
2.3 KiB
Python
"""Scheduler container entrypoint. Runs APScheduler with 5 cron jobs, each
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guarded by a MariaDB advisory lock (in job_lifecycle). Waits for the DB to be
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reachable, then schedules and blocks forever."""
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from __future__ import annotations
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import asyncio
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import signal
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from apscheduler.schedulers.asyncio import AsyncIOScheduler
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from apscheduler.triggers.cron import CronTrigger
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from app.db import get_engine
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from app.logging import configure_logging, get_logger
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from app.jobs import (
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market_job, news_job, portfolio_job, ai_log_job, rollup_job,
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indicator_summary_job,
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)
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log = get_logger("scheduler")
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async def _wait_for_db(retries: int = 60, delay: float = 1.0) -> None:
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engine = get_engine()
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for i in range(retries):
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try:
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async with engine.connect() as conn:
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await conn.execute(__import__("sqlalchemy").text("SELECT 1"))
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return
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except Exception as e:
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log.warning("scheduler.db_wait", attempt=i + 1, error=str(e)[:120])
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await asyncio.sleep(delay)
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raise RuntimeError("DB never became reachable")
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async def main() -> None:
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configure_logging()
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log.info("scheduler.starting")
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await _wait_for_db()
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sched = AsyncIOScheduler(timezone="UTC")
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sched.add_job(market_job.run, CronTrigger(minute=5), name="market_job", id="market_job")
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sched.add_job(news_job.run, CronTrigger(minute=10), name="news_job", id="news_job")
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sched.add_job(portfolio_job.run, CronTrigger(minute=15), name="portfolio_job", id="portfolio_job")
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sched.add_job(indicator_summary_job.run, CronTrigger(minute=7), name="indicator_summary_job", id="indicator_summary_job")
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sched.add_job(ai_log_job.run, CronTrigger(minute=20), name="ai_log_job", id="ai_log_job")
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sched.add_job(rollup_job.run, CronTrigger(hour=0, minute=5), name="rollup_job", id="rollup_job")
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sched.start()
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log.info("scheduler.started", jobs=[j.id for j in sched.get_jobs()])
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# Stay alive until SIGTERM.
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stop_event = asyncio.Event()
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def _stop(*_):
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log.info("scheduler.stopping")
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stop_event.set()
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loop = asyncio.get_running_loop()
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for sig in (signal.SIGTERM, signal.SIGINT):
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loop.add_signal_handler(sig, _stop)
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await stop_event.wait()
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sched.shutdown(wait=False)
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log.info("scheduler.stopped")
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if __name__ == "__main__":
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asyncio.run(main())
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