| from __future__ import annotations |
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|
| import argparse |
|
|
| from acre.training.train_agent import TrainConfig, train |
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|
| def _build_parser() -> argparse.ArgumentParser: |
| parser = argparse.ArgumentParser(prog="acre", description="ACRE: Autonomous Code Refactoring Environment") |
| sub = parser.add_subparsers(dest="command", required=False) |
|
|
| train_p = sub.add_parser("train", help="Run training (stub)") |
| train_p.add_argument("--total-steps", type=int, default=100, help="Total training steps (stub)") |
|
|
| sub.add_parser("demo", help="Run a small demo (stub)") |
|
|
| return parser |
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|
|
| def run_demo() -> None: |
| |
| print("ACRE demo mode is not implemented yet.") |
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|
|
|
| def main(argv: list[str] | None = None) -> None: |
| parser = _build_parser() |
| args = parser.parse_args(argv) |
|
|
| if args.command == "demo": |
| run_demo() |
| return |
|
|
| total_steps = getattr(args, "total_steps", 100) |
| train(config=TrainConfig(total_steps=total_steps)) |
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|
|
|
| if __name__ == "__main__": |
| main() |
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|