| from app.common.enums import ActionType, DecisionMode, DoseBucket |
| from app.common.types import PolyGuardAction |
| from app.env.anti_cheat import detect_repeated_action_loop, evaluate_anti_cheat |
| from app.env.env_core import PolyGuardEnv |
|
|
|
|
| def _action(candidate_id: str) -> PolyGuardAction: |
| return PolyGuardAction( |
| mode=DecisionMode.REGIMEN_OPT, |
| action_type=ActionType.KEEP_REGIMEN, |
| target_drug=None, |
| replacement_drug=None, |
| dose_bucket=DoseBucket.NA, |
| taper_days=None, |
| monitoring_plan=None, |
| candidate_id=candidate_id, |
| confidence=0.7, |
| rationale_brief="x", |
| ) |
|
|
|
|
| def test_repeat_loop_detector() -> None: |
| assert detect_repeated_action_loop([_action("cand_01"), _action("cand_01"), _action("cand_01")], threshold=3) |
|
|
|
|
| def test_candidate_mismatch_detected() -> None: |
| env = PolyGuardEnv() |
| env.reset(seed=77, difficulty="easy") |
| action = _action("cand_not_in_set") |
| result = evaluate_anti_cheat(env.state, action, legal_candidate_ids={"cand_01", "cand_02"}) |
| assert result.exploit_detected |
| assert "candidate_not_in_legal_set" in result.reasons |
|
|