"""SkillOpt-Sleep — command-line interface. python -m skillopt_sleep run # full cycle: harvest->mine->replay->gate->stage python -m skillopt_sleep dry-run # same but report only, no staging/adopt python -m skillopt_sleep status # show state + latest staged proposal python -m skillopt_sleep adopt # apply the latest staged proposal (with backup) python -m skillopt_sleep harvest # just print what would be mined (debug) Common flags: --project PATH project to evolve (default: cwd) --scope all|invoked harvest scope (default: invoked) --backend mock|claude|codex --source claude|codex|auto --model NAME --lookback-hours N --auto-adopt --json machine-readable output """ from __future__ import annotations import argparse import json import os import sys from typing import Any, Dict from skillopt_sleep.config import load_config from skillopt_sleep.cycle import run_sleep_cycle from skillopt_sleep.harvest_sources import harvest_for_config from skillopt_sleep.mine import mine from skillopt_sleep.staging import adopt as adopt_staging from skillopt_sleep.staging import latest_staging from skillopt_sleep.state import SleepState def _add_common(p: argparse.ArgumentParser) -> None: p.add_argument("--project", default="") p.add_argument("--scope", default="", choices=["", "all", "invoked"]) p.add_argument("--backend", default="", choices=["", "mock", "claude", "codex"]) p.add_argument("--model", default="") p.add_argument("--codex-path", default="", help="path to the real @openai/codex binary") p.add_argument("--claude-home", default="", help="override ~/.claude (also isolates state)") p.add_argument("--codex-home", default="", help="override ~/.codex for archived session harvest") p.add_argument("--source", default="", choices=["", "claude", "codex", "auto"], help="session transcript source") p.add_argument("--lookback-hours", type=int, default=0) p.add_argument("--edit-budget", type=int, default=0) p.add_argument("--auto-adopt", action="store_true") p.add_argument("--json", action="store_true") def _cfg_from_args(args) -> Any: overrides: Dict[str, Any] = {} if args.project: overrides["invoked_project"] = os.path.abspath(args.project) overrides["projects"] = "invoked" if args.scope: overrides["projects"] = args.scope if args.backend: overrides["backend"] = args.backend if args.model: overrides["model"] = args.model if getattr(args, "codex_path", ""): overrides["codex_path"] = os.path.abspath(args.codex_path) if getattr(args, "claude_home", ""): overrides["claude_home"] = os.path.abspath(args.claude_home) if getattr(args, "codex_home", ""): overrides["codex_home"] = os.path.abspath(args.codex_home) if getattr(args, "source", ""): overrides["transcript_source"] = args.source if getattr(args, "lookback_hours", 0): overrides["lookback_hours"] = args.lookback_hours if getattr(args, "edit_budget", 0): overrides["edit_budget"] = args.edit_budget if getattr(args, "auto_adopt", False): overrides["auto_adopt"] = True return load_config(**overrides) def cmd_run(args, dry: bool = False) -> int: cfg = _cfg_from_args(args) outcome = run_sleep_cycle(cfg, dry_run=dry) rep = outcome.report if args.json: print(json.dumps({ "night": rep.night, "accepted": rep.accepted, "gate_action": rep.gate_action, "baseline": rep.baseline_score, "candidate": rep.candidate_score, "n_tasks": rep.n_tasks, "n_sessions": rep.n_sessions, "edits": [e.__dict__ for e in rep.edits], "staging_dir": outcome.staging_dir, "adopted": outcome.adopted, }, ensure_ascii=False, indent=2)) else: print(f"[sleep] night {rep.night}: {rep.n_sessions} sessions -> {rep.n_tasks} tasks") print(f"[sleep] held-out {rep.baseline_score:.3f} -> {rep.candidate_score:.3f} " f"=> {rep.gate_action} (accepted={rep.accepted})") for e in rep.edits: print(f" + [{e.target}/{e.op}] {e.content}") if outcome.staging_dir: print(f"[sleep] staged: {outcome.staging_dir}") if not outcome.adopted: print("[sleep] review it, then: python -m skillopt_sleep adopt") if outcome.adopted: print(f"[sleep] auto-adopted: {', '.join(outcome.adopted_paths)}") return 0 def cmd_status(args) -> int: cfg = _cfg_from_args(args) state = SleepState.load(cfg.state_path) project = cfg.get("invoked_project") or os.getcwd() latest = latest_staging(project) info = { "night": state.night, "state_path": cfg.state_path, "project": project, "history_tail": state.data.get("history", [])[-5:], "latest_staging": latest, "slow_memory_chars": len(state.slow_memory), } if args.json: print(json.dumps(info, ensure_ascii=False, indent=2)) else: print(f"[sleep] nights so far: {state.night}") print(f"[sleep] project: {project}") if latest: print(f"[sleep] latest staged proposal: {latest}") rp = os.path.join(latest, "report.md") if os.path.exists(rp): with open(rp) as f: print("\n" + f.read()) else: print("[sleep] no staged proposals yet.") return 0 def cmd_adopt(args) -> int: cfg = _cfg_from_args(args) project = cfg.get("invoked_project") or os.getcwd() target = args.staging or latest_staging(project) if not target or not os.path.isdir(target): print("[sleep] nothing to adopt (no staging dir).") return 1 updated = adopt_staging(target) print(f"[sleep] adopted from {target}") for p in updated: print(f" -> {p}") if not updated: print("[sleep] (proposal contained no accepted changes)") return 0 def cmd_harvest(args) -> int: cfg = _cfg_from_args(args) digests = harvest_for_config(cfg, limit=cfg.get("max_tasks_per_night", 40) * 3) tasks = mine(digests, max_tasks=cfg.get("max_tasks_per_night", 40), holdout_fraction=cfg.get("holdout_fraction", 0.34), seed=cfg.get("seed", 42)) if args.json: print(json.dumps({ "n_sessions": len(digests), "tasks": [t.to_dict() for t in tasks], }, ensure_ascii=False, indent=2)) else: print(f"[sleep] {len(digests)} sessions -> {len(tasks)} tasks") for t in tasks: print(f" [{t.split}/{t.outcome}] {t.intent[:90]}") return 0 def cmd_schedule(args) -> int: from skillopt_sleep.scheduler import schedule, list_scheduled cfg = _cfg_from_args(args) project = cfg.get("invoked_project") or os.getcwd() ok, msg = schedule(project, backend=cfg.get("backend", "mock"), hour=args.hour, minute=args.minute, extra=("--auto-adopt" if getattr(args, "auto_adopt", False) else "")) print("[sleep] " + msg) cur = list_scheduled() if cur: print("[sleep] currently scheduled:") for ln in cur: print(" " + ln[:140]) return 0 if ok else 1 def cmd_unschedule(args) -> int: from skillopt_sleep.scheduler import unschedule cfg = _cfg_from_args(args) project = cfg.get("invoked_project") or os.getcwd() ok, msg = unschedule(project, all_projects=getattr(args, "all", False)) print("[sleep] " + msg) return 0 if ok else 1 def main(argv=None) -> int: parser = argparse.ArgumentParser(prog="skillopt_sleep", description="SkillOpt-Sleep nightly self-evolution") sub = parser.add_subparsers(dest="cmd", required=True) p_run = sub.add_parser("run", help="run a full sleep cycle") _add_common(p_run) p_dry = sub.add_parser("dry-run", help="harvest+mine+replay, report only") _add_common(p_dry) p_status = sub.add_parser("status", help="show state + latest proposal") _add_common(p_status) p_adopt = sub.add_parser("adopt", help="apply latest staged proposal") _add_common(p_adopt) p_adopt.add_argument("--staging", default="", help="specific staging dir") p_harvest = sub.add_parser("harvest", help="debug: show mined tasks") _add_common(p_harvest) p_sched = sub.add_parser("schedule", help="install a nightly cron entry for this project") _add_common(p_sched) p_sched.add_argument("--hour", type=int, default=3) p_sched.add_argument("--minute", type=int, default=17) p_unsched = sub.add_parser("unschedule", help="remove the nightly cron entry") _add_common(p_unsched) p_unsched.add_argument("--all", action="store_true", help="remove all managed entries") args = parser.parse_args(argv) if args.cmd == "run": return cmd_run(args, dry=False) if args.cmd == "dry-run": return cmd_run(args, dry=True) if args.cmd == "status": return cmd_status(args) if args.cmd == "adopt": return cmd_adopt(args) if args.cmd == "harvest": return cmd_harvest(args) if args.cmd == "schedule": return cmd_schedule(args) if args.cmd == "unschedule": return cmd_unschedule(args) parser.print_help() return 2 if __name__ == "__main__": sys.exit(main())