Refactor agent architecture, improve heuristics logic, enhance parser robustness, simplify config, and optimize Docker setup for HF deployment
ad80dda | """Interactive debug episode. | |
| Run: | |
| python scripts/11_debug_episode.py --task basic | |
| python scripts/11_debug_episode.py --task expert --demo | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import sys | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parent.parent | |
| sys.path.insert(0, str(ROOT)) | |
| from agent.parser import parse_action # noqa: E402 | |
| from environment import WitnessStandEnv # noqa: E402 | |
| def main() -> None: | |
| parser = argparse.ArgumentParser(description="Interactive Witness Stand episode") | |
| parser.add_argument("--task", default="basic", choices=["basic", "intermediate", "advanced", "expert"]) | |
| parser.add_argument("--demo", action="store_true") | |
| parser.add_argument("--seed", type=int, default=0) | |
| args = parser.parse_args() | |
| env = WitnessStandEnv() | |
| kwargs = {"mode": "demo" if args.demo else "train", "seed": args.seed} | |
| obs = env.reset(args.task, **kwargs) | |
| print("\n=== DEBUG EPISODE ===") | |
| print(f"Task: {args.task} | Domain: {obs['domain']} | Turns: {obs['total_turns']}") | |
| print("Type your witness answer. Use Ctrl+C to quit.\n") | |
| done = False | |
| while not done: | |
| print(f"\nTurn {obs['turn_number']}/{obs['total_turns']} [{obs['turn_type']}]") | |
| print(f"Q: {obs['questioner_text']}") | |
| raw = input("\nWitness > ") | |
| action = parse_action(raw) | |
| obs, reward, done, info = env.step(action) | |
| print(f"Reward: {reward:+.4f}") | |
| print(f"\nFinal grade: {env.grade():.4f}") | |
| if __name__ == "__main__": | |
| main() | |