initial commit — cassandra v0.1

Containerised macro-strategy dashboard: 4-panel web UI (indicators,
portfolio, flash news, AI strategic log), MariaDB store, hourly
ingestion jobs, OpenRouter-backed AI analysis.

Ports the four prototype scripts in the parent dir (market_pulse,
flash_news, trading212, strategic_log) into async services backed by a
persistent DB and served via FastAPI + Jinja2 + HTMX. APScheduler runs
as a separate compose service for crash-safety and easier restarts.

Portfolio composition + position names come live from Trading 212;
news per-ticker headlines reuse those names. Tone (NOVICE/INTERMEDIATE/
PRO) and analysis style (DRY/SPECULATIVE) are env-configurable and
stored on each log row so historical entries show what produced them.

Default model is deepseek/deepseek-v4-flash (overridable via env).
Light/dark theme toggle, sans-serif for prose surfaces, monospace for
data. Bearer-token auth, OpenRouter monthly cost cap, RSS feeds auto-
disabled on consecutive failures.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

app/scheduler_main.py

@@ -0,0 +1,64 @@
+"""Scheduler container entrypoint. Runs APScheduler with 5 cron jobs, each
+guarded by a MariaDB advisory lock (in job_lifecycle). Waits for the DB to be
+reachable, then schedules and blocks forever."""
+from __future__ import annotations
+
+import asyncio
+import signal
+
+from apscheduler.schedulers.asyncio import AsyncIOScheduler
+from apscheduler.triggers.cron import CronTrigger
+
+from app.db import get_engine
+from app.logging import configure_logging, get_logger
+from app.jobs import market_job, news_job, portfolio_job, ai_log_job, rollup_job
+
+
+log = get_logger("scheduler")
+
+
+async def _wait_for_db(retries: int = 60, delay: float = 1.0) -> None:
+    engine = get_engine()
+    for i in range(retries):
+        try:
+            async with engine.connect() as conn:
+                await conn.execute(__import__("sqlalchemy").text("SELECT 1"))
+            return
+        except Exception as e:
+            log.warning("scheduler.db_wait", attempt=i + 1, error=str(e)[:120])
+            await asyncio.sleep(delay)
+    raise RuntimeError("DB never became reachable")
+
+
+async def main() -> None:
+    configure_logging()
+    log.info("scheduler.starting")
+    await _wait_for_db()
+
+    sched = AsyncIOScheduler(timezone="UTC")
+    sched.add_job(market_job.run,    CronTrigger(minute=5),  name="market_job", id="market_job")
+    sched.add_job(news_job.run,      CronTrigger(minute=10), name="news_job", id="news_job")
+    sched.add_job(portfolio_job.run, CronTrigger(minute=15), name="portfolio_job", id="portfolio_job")
+    sched.add_job(ai_log_job.run,    CronTrigger(minute=20), name="ai_log_job", id="ai_log_job")
+    sched.add_job(rollup_job.run,    CronTrigger(hour=0, minute=5), name="rollup_job", id="rollup_job")
+    sched.start()
+    log.info("scheduler.started", jobs=[j.id for j in sched.get_jobs()])
+
+    # Stay alive until SIGTERM.
+    stop_event = asyncio.Event()
+
+    def _stop(*_):
+        log.info("scheduler.stopping")
+        stop_event.set()
+
+    loop = asyncio.get_running_loop()
+    for sig in (signal.SIGTERM, signal.SIGINT):
+        loop.add_signal_handler(sig, _stop)
+
+    await stop_event.wait()
+    sched.shutdown(wait=False)
+    log.info("scheduler.stopped")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())