gdpr / scripts /validate_project.py
9059Rohith
Space clean history snapshot for submission
2ef845d
Raw History Blame Contribute Delete
1.93 kB
from __future__ import annotations
import json
import sys
from pathlib import Path
from typing import Any, Dict
PROJECT_ROOT = Path(__file__).resolve().parents[1]
if str(PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(PROJECT_ROOT))
from models import EraseOpsAction
from server.environment import EraseOpsEnvironment
from server.graders import grade
def _assert(condition: bool, message: str) -> None:
if not condition:
raise AssertionError(message)
def validate_task(env: EraseOpsEnvironment, task_name: str) -> Dict[str, Any]:
observation = env.reset(task_name=task_name, seed=42)
_assert(observation.step == 0, f"{task_name}: reset step must be 0")
_assert(len(observation.records) > 0, f"{task_name}: expected records")
_assert(observation.step_budget > 0, f"{task_name}: invalid step budget")
seen_any = False
for record in observation.records:
action = EraseOpsAction(action_type="inspect", record_id=record.record_id, justification="validate")
observation, reward, done, info = env.step(action)
seen_any = True
_assert(isinstance(reward.total, float), f"{task_name}: reward must be numeric")
_assert("task_name" in info, f"{task_name}: info should include task_name")
if done:
break
_assert(seen_any, f"{task_name}: no records processed")
final_state = env.state()
score = grade(task_name, final_state)
_assert(0.01 <= score <= 0.99, f"{task_name}: grade outside expected range")
return {"task": task_name, "score": score, "final_step": final_state.get("step")}
def main() -> None:
env = EraseOpsEnvironment()
summary = [
validate_task(env, task_name)
for task_name in ["clean_sweep", "tangled_lake", "legal_minefield", "cascade_collapse"]
]
print(json.dumps({"status": "ok", "summary": summary}, indent=2))
if __name__ == "__main__":
main()