Aryan SinghandClaude Opus 4.8
aa1ae0c95e
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016DvdRZkyCy9NJpHYDdPqmS
87 lines
3.1 KiB
Python
87 lines
3.1 KiB
Python
"""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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