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Sleeping
| """ | |
| Example script showing manual interaction with the environment (no LLM) | |
| """ | |
| from environment import ScamDetectionEnv | |
| from tasks import get_all_tasks | |
| def run_manual_example(): | |
| """Run example with hardcoded actions""" | |
| print("=== Manual Environment Example ===\n") | |
| # Get all tasks | |
| tasks = get_all_tasks() | |
| for task in tasks: | |
| print(f"\n{'='*60}") | |
| print(f"Task: {task['name']} ({task['difficulty']})") | |
| print(f"{'='*60}") | |
| print(f"\nContent:\n{task['content']}\n") | |
| # Create environment | |
| env = ScamDetectionEnv(task) | |
| # Reset | |
| obs = env.reset() | |
| print(f"Step 1 - {obs.message}") | |
| # Step 1: Classify | |
| action1 = f"classify('{task['expected_classification']}')" | |
| print(f"Action: {action1}") | |
| obs, reward, done, info = env.step(action1) | |
| print(f"Reward: {reward:.2f}\n") | |
| # Step 2: Decide | |
| print(f"Step 2 - {obs.message}") | |
| action2 = f"decide('{task['expected_decision']}')" | |
| print(f"Action: {action2}") | |
| obs, reward, done, info = env.step(action2) | |
| print(f"Reward: {reward:.2f}\n") | |
| # Step 3: Reason | |
| print(f"Step 3 - {obs.message}") | |
| reasoning = f"This appears to be a {task['expected_classification']} with indicators including {', '.join(task['expected_reasoning_keywords'][:3])}" | |
| action3 = f"reason('{reasoning}')" | |
| print(f"Action: {action3}") | |
| obs, reward, done, info = env.step(action3) | |
| print(f"Reward: {reward:.2f}\n") | |
| # Show final grade | |
| if 'final_grade' in info: | |
| grade = info['final_grade'] | |
| print(f"{'='*60}") | |
| print("FINAL GRADE") | |
| print(f"{'='*60}") | |
| print(f"Total Score: {grade['total']:.2f}") | |
| print(f" - Classification: {grade['classification']:.2f} (weight: {grade['classification_weight']})") | |
| print(f" - Decision: {grade['decision']:.2f} (weight: {grade['decision_weight']})") | |
| print(f" - Reasoning: {grade['reasoning']:.2f} (weight: {grade['reasoning_weight']})") | |
| if __name__ == "__main__": | |
| run_manual_example() | |