6f1ee72e10
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Build and Deploy MoneyMaker / build-and-deploy (push) Failing after 15s
- Add Dockerfile (python:3.12-slim, HF_HOME=/app/data/hf-cache) - Add mmd.nomad (multi-task: web=dashboard, worker=scheduler) - Add .gitea/workflows/deploy.yml (build->Harbor, deploy->Nomad) - Add scheduler.py (stdlib scheduler replaces cron in container) - Add requirements.txt - dashboard.py: LOG_DIR + PORT/HOST from env vars - saxo_auth.py: TOKEN_FILE from SAXO_TOKEN_FILE env var - .gitignore: proper ignores for container project Volume moneymaker-data (/app/data) holds: - logs/ (shared between web+worker) - .saxo_token.json (pre-copy once after first deploy) - hf-cache/ (HuggingFace FinBERT cache) Gitea secrets required: DATABASE_URL, ANTHROPIC_API_KEY, SAXO_APP_KEY, SAXO_APP_SECRET_1, HARBOR_ROBOT_TOKEN
87 lines
2.7 KiB
Python
87 lines
2.7 KiB
Python
"""
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scheduler.py — MoneyMaker worker daemon.
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Runs the pipeline at scheduled times (Mon-Fri UTC):
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04:00 analyze-only (NLP before Copenhagen market open 09:00 CET)
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07:30 trade window 1
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10:00 trade window 2
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12:30 trade window 3
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14:30 trade window 4
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17:00 daily P&L report
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Outputs appended to LOG_DIR/runner_YYYY-MM-DD.log so the dashboard can
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show a live log tail. Uses only stdlib — no extra scheduler dependency.
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"""
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import os
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import sys
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import time
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import traceback
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from datetime import datetime, timezone
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from pathlib import Path
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LOG_DIR = Path(os.getenv("LOG_DIR", str(Path(__file__).parent / "data" / "logs")))
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LOG_DIR.mkdir(parents=True, exist_ok=True)
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# hour, minute, weekdays (0=Mon…4=Fri), analyze_only, is_report
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SCHEDULE = [
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(4, 0, frozenset(range(5)), True, False),
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(7, 30, frozenset(range(5)), False, False),
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(10, 0, frozenset(range(5)), False, False),
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(12, 30, frozenset(range(5)), False, False),
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(14, 30, frozenset(range(5)), False, False),
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(17, 0, frozenset(range(5)), False, True),
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]
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def _log_path() -> Path:
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today = datetime.now(timezone.utc).strftime("%Y-%m-%d")
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return LOG_DIR / f"runner_{today}.log"
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def _run_job(analyze_only: bool, is_report: bool) -> None:
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log = _log_path()
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with open(log, "a", buffering=1) as fh:
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old_out, old_err = sys.stdout, sys.stderr
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sys.stdout = sys.stderr = fh
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try:
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if is_report:
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from report import print_report
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print_report()
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else:
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from runner import run_pipeline
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run_pipeline(analyze_only=analyze_only)
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except Exception as exc:
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print(f"[scheduler] ERROR: {exc}")
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traceback.print_exc()
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finally:
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sys.stdout = old_out
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sys.stderr = old_err
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def main() -> None:
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last_run: dict = {}
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print(f"[scheduler] started — LOG_DIR={LOG_DIR}", flush=True)
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while True:
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now = datetime.now(timezone.utc)
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dow = now.weekday()
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for hour, minute, days, analyze_only, is_report in SCHEDULE:
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if dow not in days:
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continue
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key = (hour, minute, now.date())
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if key in last_run:
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continue
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if now.hour == hour and now.minute == minute:
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last_run[key] = True
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label = "report" if is_report else ("analyze-only" if analyze_only else "full")
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print(f"[scheduler] {now.strftime('%H:%M UTC')} — {label}", flush=True)
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_run_job(analyze_only, is_report)
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print(f"[scheduler] {label} done", flush=True)
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time.sleep(30)
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if __name__ == "__main__":
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main()
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