Phase 4: orchestrator + cycles auto-execute

Componente runtime/ che cabla core+clients+state+safety in un engine
autonomo notify-only: nessuna conferma manuale, ordini combo
piazzati direttamente quando le regole passano. 311 test pass,
copertura totale 94%, runtime/ 90%, mypy strict pulito, ruff clean.

Moduli:
- runtime/alert_manager.py: escalation tree
  LOW/MEDIUM/HIGH/CRITICAL → audit + Telegram + kill switch.
- runtime/dependencies.py: build_runtime() costruisce
  RuntimeContext con tutti i client MCP, repository, audit log,
  kill switch, alert manager.
- runtime/entry_cycle.py: flusso settimanale (snapshot parallelo
  spot/dvol/funding/macro/holdings/equity → validate_entry →
  compute_bias → options_chain → select_strikes →
  liquidity_gate → sizing_engine → combo_builder.build →
  place_combo_order → notify_position_opened).
- runtime/monitor_cycle.py: loop 12h con dvol_history per il
  return_4h, exit_decision.evaluate, close auto-execute.
- runtime/health_check.py: probe parallelo MCP + SQLite +
  environment match; 3 strikes consecutivi → kill switch HIGH.
- runtime/recovery.py: riconciliazione SQLite vs broker
  all'avvio; mismatch → kill switch CRITICAL.
- runtime/scheduler.py: AsyncIOScheduler builder con cron entry
  (lun 14:00), monitor (02/14), health (5min).
- runtime/orchestrator.py: façade boot() + run_entry/monitor/health
  + install_scheduler + run_forever, con env check vs strategy.

CLI:
- start: avvia engine bloccante (asyncio.run + scheduler).
- dry-run --cycle entry|monitor|health: esegue un singolo ciclo
  per debug/test in produzione.
- stop: documenta lo shutdown via SIGTERM al container.

Documentazione:
- docs/06-operational-flow.md riscritto per il modello
  notify-only auto-execute (no conferma manuale, no memory,
  no brain-bridge).

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

tests/unit/test_scheduler.py

@@ -0,0 +1,27 @@
+"""Tests for the APScheduler bootstrap helper."""
+
+from __future__ import annotations
+
+import pytest
+
+from cerbero_bite.runtime.scheduler import JobSpec, build_scheduler
+
+
+async def _noop() -> None:
+    return None
+
+
+def test_build_scheduler_registers_all_jobs() -> None:
+    specs = [
+        JobSpec(name="entry", cron="0 14 * * MON", coro_factory=_noop),
+        JobSpec(name="monitor", cron="0 2,14 * * *", coro_factory=_noop),
+        JobSpec(name="health", cron="*/5 * * * *", coro_factory=_noop),
+    ]
+    sched = build_scheduler(specs)
+    job_ids = {j.id for j in sched.get_jobs()}
+    assert job_ids == {"entry", "monitor", "health"}
+
+
+def test_build_scheduler_rejects_malformed_cron() -> None:
+    with pytest.raises(ValueError, match="cron must have 5 fields"):
+        build_scheduler([JobSpec(name="x", cron="0 14 * *", coro_factory=_noop)])