feat(orchestration): nightly runner, rollover budgets, incremental checkpoints
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016DvdRZkyCy9NJpHYDdPqmS
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"""Time budgeting for the nightly run.
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Each agent gets a wall-clock deadline = its fair share of the remaining window, capped by
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the per-agent config, and never past the hard stop. If an agent finishes early the freed
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time rolls over to those remaining (bounded by the cap), and the hard stop always holds.
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"""
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from __future__ import annotations
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from datetime import datetime, timedelta
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from zoneinfo import ZoneInfo
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def local_hard_stop_ts(hard_stop_hhmm: str, local_tz: str) -> float:
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"""Epoch seconds of the next HH:MM in local time (today if still ahead, else tomorrow)."""
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tz = ZoneInfo(local_tz)
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now = datetime.now(tz)
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hh, mm = (int(x) for x in hard_stop_hhmm.split(":"))
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target = now.replace(hour=hh, minute=mm, second=0, microsecond=0)
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if target <= now:
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target += timedelta(days=1)
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return target.timestamp()
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def next_deadline(
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now_ts: float, hard_stop_ts: float, agents_remaining: int, per_agent_cap_s: float
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) -> float:
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"""Deadline for the current agent: min(fair share, cap), never past hard stop."""
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if agents_remaining <= 0 or now_ts >= hard_stop_ts:
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return hard_stop_ts
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fair_share = (hard_stop_ts - now_ts) / agents_remaining
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span = min(fair_share, per_agent_cap_s) if per_agent_cap_s else fair_share
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return now_ts + max(span, 60.0)
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def next_market_trade_date(market_tz: str) -> str:
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"""Best-effort next trading date (ET), rolling weekends to Monday. Holidays handled in
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Phase 3 via Alpaca's calendar; this is only for naming the nightly output folder."""
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tz = ZoneInfo(market_tz)
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d = datetime.now(tz).date()
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while d.weekday() >= 5: # 5 = Sat, 6 = Sun
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d += timedelta(days=1)
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return d.isoformat()
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"""Incremental, crash-safe JSON output. Each agent's output is (over)written atomically
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after every research round and again at finalize, so a hang or power loss mid-run still
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leaves the best-so-far result on disk under state/output/<trade_date>/<persona>.json.
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"""
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from __future__ import annotations
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import os
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from pathlib import Path
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from agents.schemas import AgentOutput, RunManifest
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def _atomic_write(path: Path, text: str) -> None:
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tmp = path.with_suffix(path.suffix + ".tmp")
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tmp.write_text(text)
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os.replace(tmp, path) # atomic on the same filesystem
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class Checkpointer:
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def __init__(self, output_dir: Path, trade_date: str):
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self.dir = Path(output_dir) / trade_date
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self.dir.mkdir(parents=True, exist_ok=True)
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def agent_path(self, persona_id: str) -> Path:
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return self.dir / f"{persona_id}.json"
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def write(self, output: AgentOutput) -> None:
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_atomic_write(self.agent_path(output.persona_id), output.model_dump_json(indent=2))
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def write_manifest(self, manifest: RunManifest) -> None:
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_atomic_write(self.dir / "_manifest.json", manifest.model_dump_json(indent=2))
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"""ENTRYPOINT #1 — the nightly research run.
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Brings up oMLX, then runs the 3 personas strictly sequentially (one model, time-sliced),
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each under a rollover wall-clock budget bounded by the hard stop. Every agent's output is
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checkpointed to state/output/<trade_date>/. Run with --compressed for a fast end-to-end
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test (short budgets).
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uv run python -m orchestration.run_nightly [--compressed]
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"""
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from __future__ import annotations
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import sys
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import time
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from datetime import datetime, timezone
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
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from loguru import logger # noqa: E402
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from agents.graph import run_agent # noqa: E402
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from agents.schemas import RunManifest # noqa: E402
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from config.personas import PERSONAS # noqa: E402
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from config.settings import get_settings # noqa: E402
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from llm import server # noqa: E402
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from llm.client import resolve_model_id # noqa: E402
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from orchestration.budget import ( # noqa: E402
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local_hard_stop_ts,
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next_deadline,
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next_market_trade_date,
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)
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from orchestration.checkpoint import Checkpointer # noqa: E402
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def main(compressed: bool = False) -> int:
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s = get_settings()
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s.ensure_dirs()
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trade_date = next_market_trade_date(s.market_tz)
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logger.add(s.log_dir / f"nightly_{trade_date}.log", rotation="10 MB", retention="14 days")
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logger.info("=== nightly run trade_date={} profile={} compressed={} ===",
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trade_date, s.model_profile, compressed)
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if not server.ensure_ready():
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logger.error("oMLX not ready; aborting.")
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return 1
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model_name = resolve_model_id()
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run_id = datetime.now(timezone.utc).strftime("%Y%m%dT%H%M%SZ")
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cp = Checkpointer(s.output_dir, trade_date)
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manifest = RunManifest(
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run_id=run_id,
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trade_date=trade_date,
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model=model_name,
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started_at=datetime.now(timezone.utc),
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status="running",
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)
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cp.write_manifest(manifest)
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hard_stop = local_hard_stop_ts(s.hard_stop, s.local_tz)
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per_agent_cap_s = 5 * 60 if compressed else s.per_agent_wallclock_min * 60
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step_budget = 12 if compressed else s.per_agent_step_budget
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min_steps = 4 if compressed else s.per_agent_min_steps
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for i, persona in enumerate(PERSONAS):
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now = time.time()
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if now >= hard_stop:
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logger.warning("hard stop reached; skipping {} remaining agents", len(PERSONAS) - i)
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break
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deadline = next_deadline(now, hard_stop, len(PERSONAS) - i, per_agent_cap_s)
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logger.info("--- {} until {} ---", persona.id,
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datetime.fromtimestamp(deadline).strftime("%H:%M:%S"))
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out = run_agent(persona, deadline_ts=deadline, step_budget=step_budget,
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min_steps=min_steps, checkpointer=cp, model_name=model_name)
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cp.write(out)
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manifest.agents.append(persona.id)
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manifest.status = "complete"
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manifest.ended_at = datetime.now(timezone.utc)
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cp.write_manifest(manifest)
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logger.info("=== nightly run complete; output in {} ===", cp.dir)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main(compressed="--compressed" in sys.argv))
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